Loading...
Welcome to Chinese Journal of Applied Ecology! Today is

Table of Content

    18 May 2026, Volume 37 Issue 5
    Special Features of Stable Isotope Ecology
    Decline and mortality of poplar shelterbelt induced by hydraulic limitations, carbon starvation, and drying of mid-depth soil layers.
    HE Chunxia, HU Xiaochuang, SUN Shoujia, GUAN Chongfan, LI Zijing, ZHANG Jinsong, CAI Jinfeng
    2026, 37(5):  1353-1364.  doi:10.13287/j.1001-9332.202605.017
    Asbtract ( 90 )   PDF (4350KB) ( 0 )  
    We assessed tree health scores, growth status, percent loss of conductivity(PLC), hydraulic safety margin (HSM), non-structural carbohydrates (NSC), and stable isotopes in healthy, declining, and dying trees of poplar shelterbelts in Zhangbei County, Hebei Province, China. We examined the internal and external drivers of poplar decline and quantified their relative importance, to elucidate the underlying causes and mechanisms. Health scores differed significantly among status classes, averaging 90.0, 62.0, and 37.7 for healthy, declining, and dying trees, respectively. Compared with healthy trees, water uptake from the 10-50 cm soil layer increased significantly by 12.1% in declining trees and by 26.4% in dying trees. Dying trees had significantly lower individual-leaf area (-29.6%) and leaf C:N (-23.2%), whereas specific leaf area increased significantly (+29.3%) relative to healthy trees. In terms of hydraulic function, dying trees exhibited lower leaf water potential (-80.5%), branch water potential (-68.0%), and HSM (-27.2%), while branch PLC and P50(the water potential at 50% loss of hydraulic conductivity) increased significantly by 71.7% and 19.2%, respectively. There was no difference between declining poplars and healthy poplars. NSC concentrations in dying trees decreased significantly in the trunk (-40.6%) and roots (-30.5%) compared with healthy trees. In declining trees, trunk NSC also declined (-19.2%), whereas no significant differences were detected in leaves and branches. Relative to healthy trees, dying trees had significantly lower leaf δ13C (-5.8%) and higher δ18O (+9.9%), while declining trees differed little from healthy trees. Principal component analysis and quantitative importance assessment identified PLC as the primary factor associated with poplar decline (21.0%), followed by mid-layer soil moisture and individual-leaf area, while NSC in roots and trunks also contributed substantially. Overall, hydraulic failure appeared to be the dominant internal driver of poplar decline, with carbon starvation further aggravating decline, and mid-soil drying representing the principal external stressor.
    Moso bamboo encroachment into broadleaved forest increased the relative contribution of bacterial community to heterotrophic nitrification.
    WANG Xiaoge, CHEN Zhihao, WANG Xingmeng, WANG Kecheng, ZOU Na, ZHANG Qianqian, LI Yongchun
    2026, 37(5):  1365-1373.  doi:10.13287/j.1001-9332.202605.012
    Asbtract ( 62 )   PDF (1432KB) ( 0 )  
    Bacterial and fungal communities are critical drivers of soil nitrogen cycling. However, it remains unclear how encroachment of Moso bamboo into subtropical evergreen broadleaved forest alters soil nitrogen minerali-zation and the contributions of bacterial and fungal communities. We used a paired experimental design combined with 15N isotope tracing and the acetylene inhibition method to investigate the effects of Moso bamboo expansion on soil nitrogen transformation and the relative contributions of microbial groups. The results showed that fungi community played a major role in driving soil gross nitrogen mineralization in broadleaved forest, whereas both bacterial and fungal communities contributed to gross nitrogen mineralization in bamboo forest, with the relative contribution of bacteria (82.9%) being higher than fungi (49.7%). After Moso bamboo expansion into broadleaved forest, gross nitrogen mineralization shifted from fungal dominance to bacterial dominance. Following the Moso bamboo expansion, the microbial community structure changed and soil gross nitrification rate decreased by 21.5%, mainly due to a reduction in bacterially dominated autotrophic nitrification. Before and after Moso bamboo expansion, soil heterotrophic nitrification rates were 0.76 and 0.68 mg·kg-1·d-1, respectively. Both accounted for more than 79% of the gross nitrification rate, indicating that heterotrophic nitrification dominated the soil gross nitrification process. After Moso bamboo expansion, the contribution of fungi to soil heterotrophic nitrification decreased from 89% to 41.5%, whereas the contribution of bacteria increased from 49.3% to 79%, indicating that fungi dominated heterotrophic nitrification in broadleaved forest before Moso bamboo expansion and bacteria became dominant after expansion. This study would provide theoretical basis for understanding the effects of Moso bamboo expansion on soil nitrogen mineralization and the microbial mechanisms.
    Effects of alpine meadow degradation on soil stable nitrogen isotope and its drivers.
    WANG Qirui, ZHOU Chunli, ZHANG Chunqing, Pengcuoji, WANG Guiqiang, MA Zifeng, LI Yikang
    2026, 37(5):  1374-1382.  doi:10.13287/j.1001-9332.202605.013
    Asbtract ( 74 )   PDF (2547KB) ( 0 )  
    The degradation of alpine meadow profoundly alters soil nitrogen (N) cycling. However, the stability of soil N pools and the response mechanisms of δ15N across different degradation stages remain unclear. In an alpine meadow of Maqin County, Qinghai Province, China, we investigated the effects of degradation on soil stable nitrogen isotopes (δ15N) and their driving factors. Four degradation stages were identified: non-degraded grass meadow (ND), Kobresia humilis + Kobresia pygmaea meadow (SD), thickened turf layer of K. pygmaea meadow (MD), and “black-soil beach” with secondary bare land (HD). The results showed that aboveground biomass significantly decreased with increasing degradation intensity, with biomass in the HD stage reduced to 56.5% of that in the ND stage. Degradation significantly reduced soil pH, electrical conductivity, and soil moisture in the 0-30 cm layer, and altered the vertical distribution pattern of soil C/N. Soil total nitrogen (TN) and microbial biomass nitrogen (MBN) declined markedly with increasing degradation, particularly in the surface soil (0-5 cm), with reductions of 57.8% and 70.6%, respectively. Meadow degradation significantly influenced the distribution of δ15N. In the SD and MD stages, δ15N values increased with soil depth, whereas in the HD stage they became homogenized. The difference in δ15N between surface and deep soil layers (Δδ15N) first decreased and then increased with degradation, approaching zero in the HD stage, indicating a highly open N cycle and homogenization of soil N across the profile. Random forest analysis revealed that the dominant drivers of δ15N varied among degradation stages. Ammonium (NH4+-N) dominated in the ND stage, soil pH in the SD and MD stages, and MBN in the HD stage. Surface soil δ15N was significantly negatively correlated with pH, electrical conductivity, soil moisture, C/N, TN, MBN, and NH4+-N, suggesting that degradation influenced N cycling primarily by altering surface soil environmental condition. In summary, alpine meadow degradation significantly affected soil N pools and N transformation efficiency by altering aboveground biomass and soil physicochemical properties. Δδ15N could serve as an effective indicator of the openness of ecosystem N cycling and degradation stage.
    Research advances in N2O emissions in tropical forest soils and their influencing factors.
    MA Qingyuan, LIU Chun, DENG Gang, SONG Qinghai, SHA Liqing, ZHOU Wenjun
    2026, 37(5):  1383-1394.  doi:10.13287/j.1001-9332.202605.015
    Asbtract ( 57 )   PDF (1120KB) ( 0 )  
    Tropical forest soil is a significant source of N2O emissions, exerting a notable impact on global climate change. Due to the complex environmental conditions (high temperature, high humidity, intense precipitation, and strong leaching) in tropical regions, coupled with strong spatial heterogeneity and insufficient observational data, there remains significant uncertainty regarding the N2O emission flux from tropical forest soil and microbial regulation mechanisms. We reviewed the characteristics of N2O emissions from tropical forest soil, the mechanisms by which soil microorganisms produce N2O, influencing factors, as well as the advancements in the application of stable isotope techniques for N2O source apportionment and process quantification. N2O emissions from tropical forest soil exhibit notable spatiotemporal heterogeneity. The production processes primarily involve autotrophic/heterotrophic nitrification, denitrification, and their coupled processes, and are synergistically regulated by factors such as soil moisture, temperature, pH, carbon and nitrogen substrate availability, and microbial community structure. Stable isotope tracing techniques (15N natural abundance method, 15N labeling method, isotopic isotopomer method) can effectively distinguish the contributions of different microbial processes to N2O production, evolving from qualitative identification to precise quantitative analysis, providing crucial support for refining the nitrogen cycle theory in tropical forests. Currently, most studies focus on short-term and small-scale experiments. There are uncertainties regarding isotope fractionation parameters and model applicability, limiting their application in assessing N2O flux at the regional scale and in global tropical regions. In the future, it is essential to strengthen the integration of multi-temporal and multi-spatial scale in situ observations with stable isotope techniques, integrating molecular biology, machine learning, and process modeling methods to explore the mechanisms of different microbial processes. This would enhance our understanding of the mechanisms underlying N2O emission from tropical forest soil and its response to global change, providing a scientific basis for precise reduction of greenhouse gas emissions in the tropics.
    Advances in the application of compound-specific isotope analysis of amino acids in archaeological research.
    ZHANG Chunchao, HU Yaowu
    2026, 37(5):  1395-1408.  doi:10.13287/j.1001-9332.202605.011
    Asbtract ( 44 )   PDF (1511KB) ( 0 )  
    Stable isotope bioarchaeology is an important area of bioarchaeological research, which can provide direct evidence for reconstructing the trophic positions and dietary sources of ancient humans and animals. Compared with bulk bone collagen isotope analysis, compound-specific isotope analysis of amino acids (CSIA-AA) can effectively overcome the inherent limitations of the traditional method in terms of isotopic baseline variation, fertilization effects, and physiological stress, ensuring more precise determination of the trophic positions and food resource utilization of ancient humans and animals. This method has become a research frontier in international bioarchaeology, but its application remains underdeveloped in China. To address this gap, we introduced the fundamental concepts and analytical principles of CSIA-AA, illustrated its unique advantages in paleodietary reconstruction through representative case studies, and reviewed advances in areas such as the optimization of trophic position estimation parameters, machine learning assisted dietary discrimination, and the reconstruction of individual life histories. Finally, we provided a prospective outlook on the application of CSIA-AA in archaeological research in China.
    Calculation of evaporation from small water bodies based on stable hydrogen and oxygen isotopes.
    GAO Haining, XIAO Wei, YANG Zhonghao, YANG Jian, XIE Chengyu, XU Jingzheng
    2026, 37(5):  1409-1421.  doi:10.13287/j.1001-9332.202605.014
    Asbtract ( 60 )   PDF (3012KB) ( 0 )  
    Accurate estimation of evaporation from small water bodies is critical for addressing water resource losses induced by global climate change. Based on hydrogen and oxygen stable isotope data and meteorological observations collected from a fish pond in Anhui Province during 2020-2022, we calculated the monthly evaporation from the pond using a stable isotope mass balance model and the eddy covariance (EC) method. With the EC observations as a reference, we evaluated the applicability of different parameterization schemes for kinetic fractionation. The results showed that monthly evaporation from the fish pond exhibited seasonal variability: summer (99.6±37.3 mm) > spring (89.4±26.5 mm) > autumn (58.7±21.7 mm) > winter (20.6±4.5 mm). The results of the isotope mass conservation model based on different isotopes and parameterization schemes were generally consistent with the observations. The applicability of deuterium (2H) was better than that of oxygen-18 (18O) in summer and autumn, while 18O performed better in spring and winter. Overall, 2H showed better performance. Among different parameterization schemes, the ocean-based scheme was generally superior to the lake-based scheme. The localized parameterization scheme based on 18O and developed using pond observation data (Pearson correlation coefficient=0.85, root mean square error=18 mm) outperformed both the traditional lake-based and ocean-based parameterization schemes. These findings provide important theoretical support and methodological references for enhancing the accuracy and reliability of stable isotope techniques in calculating evaporation from small water bodies.
    Original Articles
    Fine root adaptation strategies of Pinus koraiensis and P. sylvestris var. mongolica under rocky steep slope conditions.
    HUANG Bo, YANG Lixue, LI Fan, DONG Hui, HAO Jingxiang
    2026, 37(5):  1422-1430.  doi:10.13287/j.1001-9332.202605.004
    Asbtract ( 81 )   PDF (1738KB) ( 0 )  
    To improve the effectiveness of ecological restoration of rocky steep slopes and the scientific selection of tree species, we analyzed the adaptation strategies of fine roots of 14-year-old young plantations of Pinus koraiensis and P. sylvestris var. mongolica under the rocky steep slope restoration. The results showed that under non-rocky gentle normal conditions, there was no difference in the topological indices (TI) between P. koraiensis (0.69) and P. sylvestris var. mongolica (0.73). On rocky steep slopes, the topological indice of P. koraiensis fine root significantly decreased (TI=0.63), showing dichotomous branching, whereas that of P. sylvestris var. mongolica significantly increased (TI=0.79), with branching structure approaching a herringbone pattern. Under normal conditions, there were significant morphological differences between the two species. The average fine root diameter of P. koraiensis was 1.6 times that of P. sylvestris var. mongolica, while its specific root length and specific root surface area were only one-third and one-half that of P. sylvestris var. mongolica, respectively. Under rocky steep slope conditions, the average diameter and specific root length of 1st-3rd order roots significantly increased while tissue density significantly decreased in P. koraiensis, whereas P. sylvestris var. mongolica showed opposite trends. Compared with those under normal conditions, P. sylvestris var. mongolica on rocky steep slopes exhibited significantly increased carbon content and C:N but significantly decreased nitrogen content in its 1st-3rd order fine roots, while P. koraiensis showed an opposite trend. The mycorrhizal colonization rate significantly increased by 25.0% in P. koraiensis but decreased by 32.3% in P. sylvestris var. mongolica on rocky steep slopes. P. koraiensis enhanced resource acquisition through increasing fine root dichotomous branching and mycorrhizal symbiosis, whereas P. sylvestris var. mongolica adapted via simplifying branching structure of fine roots and enhancing tissue defense. Both species were suitable for ecological restoration on rocky steep slopes.
    Evaluation of stand structural complexity at different developmental stages in Larix gmelinii secondary forests of the Greater Khingan Mountains, China
    WANG Kexin, MEI Xuesong, DONG Lingbo
    2026, 37(5):  1431-1438.  doi:10.13287/j.1001-9332.202605.001
    Asbtract ( 54 )   PDF (1605KB) ( 0 )  
    Based on data from 79 plots of Larix gmelinii secondary forests in the Greater Khingan Mountains, we classified the developmental stages of the stands by using affinity propagation clustering algorithm with thirteen eva-luation indicators from three aspects including tree species diversity, non-spatial structure, and spatial structure characteristics. We then compared the consistency of the full indicator set (13 indicators) and the minimum indicator set (five indicators) in evaluating stand structural complexity across different developmental stages by radar chart analysis. The main aim was to provide a theoretical basis for full-cycle multi-functional management of L. gmelinii secondary forests in the Greater Khingan Mountains. The results showed that the key indicators constraining stand structural complexity were mean diameter at breast height (Dg), dominant tree height (Ht), density degree (C), stand density (N), and stand volume (V), totaling five indicators. The affinity propagation clustering algorithm divided all plots into three developmental stages (Stage 1, Stage 2, and Stage 3). Among these, Dg and C showed a significant increasing trend with developmental stage, while N and Ht exhibited a significant decreasing trend. There was a significant difference of V between Stage 2 and Stage 3. The evaluation results based on the full indicator set showed that the stand structural complexity indices for the three developmental stages were 0.18, 0.22, and 0.31, respectively, while those based on the minimum indicator set were 0.10, 0.15, and 0.26. The indices obtained from the two methods were positively correlated (r>0.55). Using the minimum indicator set as the stan-dard, only one indicator performed well in Stage 1 (N) and Stage 2 (Ht), while three indicators (Dg, Ht, and V) reached the standard in Stage 3. Therefore, the structural complexity of L. gmelinii secondary forests gradually increased across developmental stages. The evaluation method based on the minimum indicator set showed high reliability and could provide targeted measures for forest management according to the key factors constraining structural development at each stage.
    Influence of meteorological factors on xylem anatomical characteristics of Fraxinus mandshurica in Northeast China
    REN Qingcao, LIU Ye, WO Xiya, YANG Liying, ZENG Fansuo, XIN Ying
    2026, 37(5):  1439-1448.  doi:10.13287/j.1001-9332.202605.018
    Asbtract ( 56 )   PDF (3824KB) ( 0 )  
    Fraxinus mandshurica is a valuable timber species in Northeast China, with high ecological and economic value. We collected the F. mandshurica family materials for sowing and seedling cultivation in 2002 and afforested in 2004. Based on dendrochronology and wood anatomy methods, we analyzed the relationship between xylem anatomical characteristics and major climatic factors for Zhangguangcai Mountains (2007-2023) and Xiao Xing’an Mountains (2010-2022), and examined the effects of common low temperature years (2010 and 2012) on anatomical characteristics of xylem. The results showed that the xylem anatomical characteristics of F. mandshurica in the Zhangguangcai Mountains and Xiao Xing’an Mountains showed similar trends with the age of trees. Ring width and total vessel area exhibited a unimodal pattern of “first increasing and then decreasing” with tree age, with a rapid growth period of approximately 10 years in the young forest stage. The specific hydraulic conductivity, theoretical hydraulic conductivity, percentage of conductive area within xylem, and total vessel area of F. mandshurica in Zhangguangcai Mountains were significantly higher than those of Xiao Xing’an Mountains by 143.7%, 124.1%, 48.4%, and 43.3%, respectively. The annual ring width of F. mandshurica from both sites showed signifi-cant positive correlations with vessel number, total vessel area, and theoretical hydraulic conductivity. Conversely, it exhibited strong negative correlations with vessel density, percentage of conductive area within xylem, and specific hydraulic conductivity. Temperature and precipitation jointly influence the xylem anatomical characteristics, but the dominant climatic factors differed between the two sites. The growth of F. mandshurica in Zhangguangcai Mountains was primarily influenced by temperature. Growth during the growing season in the Xiao Xing’an Mountains was subject to the joint influence of temperature and precipitation, exhibiting sensitivity to high-temperature stress during summer. Low-temperature events led to a significant decrease in multiple anatomical indicators of F. mandshurica in both sites. In low-temperature years, ring width, mean vessel area, total vessel area, theoretical hydraulic conductivity and specific hydraulic conductivity of F. mandshurica in Zhangguangcai Mountains decreased significantly by 10.8%, 24.3%, 10.7%, 37.7% and 41.1%, respectively. In Xiao Xing’an Mountains, the decreases in these indicators were greater, with declines of 27.8%, 43.4%, 28.9%, 62.6%, and 55.8%, respectively. No.7 and No.12 F. mandshurica families exhibited strong resistance in both sites, which could be served as excellent cold-resistant F. mandshurica varieties for directional cultivation in Northeast China.
    Radial growth of dominant tree species and the response to climate in the Dagou watershed, Sichuan Pro-vince, China.
    CHEN Xiaoxia, SHI Fusun, TAO Boshan, LI Jingyi, MA Wenbao
    2026, 37(5):  1449-1458.  doi:10.13287/j.1001-9332.202605.008
    Asbtract ( 63 )   PDF (3247KB) ( 0 )  
    We collected tree core samples from the dominant tree species Pinus armandii, Pinus tabuliformis, and Quercus aliena var. acuteserrata in the Dagou watershed of Maoxian County, Sichuan. Combined with long-term meteorological observation data from the Maoxian Mountain Ecosystem Positioning Research Station of the Chinese Academy of Sciences (CAS), we developed standard tree-ring width chronologies to investigate the radial growth responses of these species to climatic factors over the period of 1989-2021. There were significant increasing trends in both annual mean temperature and mean minimum temperature in the Dagou watershed over the past 40 years, with the most pronounced warming in spring. Annual precipitation exhibited a fluctuating decline from 1989 to 2006, and then it increased significantly at a rate of 28.26 mm·a-1, while winter precipitation decreased markedly. P. armandii and P. tabuliformis exhibited similar trends in basal area increment (BAI), increasing steadily before 2014 at average rates of 146.68 and 169.41 mm2·a-1, respectively, after which both species showed a decreasing trend. In contrast, the BAI of Q. aliena var. acuteserrata continued to increase rapidly, with a maximum average growth rate of 164.23 mm2·a-1 over the period 1998-2018. The radial growth of P. armandii was primarily influenced by temperature, showing significant positive correlations with the mean minimum temperature in July and August of the previous year, as well as with both the mean minimum temperature and mean temperature in March and April of current year. Additionally, its growth was significantly positively correlated with precipitation during the current growing season, specifically in June and September. The radial growth of P. tabuliformis showed a significant negative correlation with the mean maximum temperature in June of the current year and with precipitation during the previous growing season (June-October). The radial growth of Q. aliena var. acuteserrata was significantly positively correlated with mean temperature in spring and maximum temperature in summer, but negatively corre-lated with winter precipitation. In the context of continuously increasing temperatures, particularly the rising spring temperatures and declining winter precipitation, Q. aliena would exhibit stronger growth adaptability and competitive potential.
    Growth strategy of Juniperus tibetica ancient clusters under high-altitude and cold conditions in western Xizang, China.
    DANZENG Ouzhu, YU Wu, PAN Gang, TENG Hongfen, MU Yumei
    2026, 37(5):  1459-1465.  doi:10.13287/j.1001-9332.202605.003
    Asbtract ( 57 )   PDF (1857KB) ( 0 )  
    To understand how trees maintain longevity under extreme stress, we examined four clusters of ancient Juniperus tibetica) growing under high-elevation and cold conditions in western Xizang. The growth history of 64 ancient trees during A.D. 1855-2024 (170 years) was quantified using dendrochronological methods to analyze the growth strategies of ancient-tree clusters under alpine climatic conditions. The results showed that all the 64 juniper trees were over 100 years old, with the oldest reaching 438 years. The radial growth of trees was negatively correlated with temperature in June to September, positively correlated with total precipitation in the same season and the standard precipitation-evaporation indices (SPEI) in August. The average of ring widths across all samples in the period 1855-2024 was 0.87 mm, with apparent growth difference among individual trees, and standard deviation was 0.66 mm. The resistance and resilience of trees to six events of extreme narrow rings (1914, 1958, 1966, 1983, 2010, and 2016) also showed high variability among individuals. Slow and diverse growth are the strategy of ancient-tree clusters to maintain longevity under extreme adversity.
    Habitat pattern of Quercus variabilis in China under the background of climate change.
    LYU Wenxuan, GAO Lushuang, LI Junfeng, WANG Jiaxi, LI Guolei, ZHANG Zhiyi, ZHANG Xinyu, LI Sijie
    2026, 37(5):  1466-1476.  doi:10.13287/j.1001-9332.202606.021
    Asbtract ( 84 )   PDF (3156KB) ( 0 )  
    To clarify the distribution pattern of Quercus variabilis under the combined influences of climate change and habitat fragmentation, we used 87 occurrence records and 9 climatic variables, and applied the MaxEnt model and ArcGIS to simulate the current and future suitable habitats of Q. variabilis across China under SSP126 and SSP585 scenarios. The results showed that the MaxEnt model performed well (area of receiver operating characteristic curve was 0.884). The main climatic factors influencing the distribution of Q. variabilis were the minimum temperature of the coldest month, precipitation of the wettest quarter, maximum temperature of the warmest month, and mean temperature of the wettest quarter. During 1970-2000, the area of highly suitable habitats for Q. variabilis was approximately 104.92×104 km2, mainly located in central, eastern, southwestern, and southeastern China. Under both SSP126 and SSP585 scenarios, the total suitable habitat expanded during 2021-2100, but its structure shifted. The highly suitable area declined significantly (by 44.8%-50.5%), moderately suitable habitat also contracted (by 1.7%-34.4%) except for a slight increase under SSP126 during 2021-2040, and poorly suitable area increased (by 41.7%-104.5%). This trend suggested the increases in fragmentation and the decline of overall suitability of Q. variabilis habitats. The findings would provide scientific guidance for region-specific management and the long-term sustainable utilization of Q. variabilis resources.
    Effects of biochar derived from different feedstocks on soil microbial nutrient limitation in a Phyllostachys edulis forest.
    XU Yijing, SUN Xuan, CHEN Yong, ZHENG Xuli, ZHOU Yan, MA Xiaomin, LIANG Chenfei, QIN Hua, CHEN Junhui
    2026, 37(5):  1477-1487.  doi:10.13287/j.1001-9332.202605.009
    Asbtract ( 69 )   PDF (2421KB) ( 0 )  
    We conducted a field experiment to investigate the effects of biochar derived from three feedstocks (pig manure, peanut shell, and maize straw) on the nutrient limitation status of soil microbial communities and the abundance of functional genes involved in organic carbon degradation in a Phyllostachys edulis forest. Each biochar was applied at a rate of 20 t·hm-2, with soil without biochar amendment as control. We measured soil and microbial properties after two years. The results showed that all biochar types significantly increased soil pH, soil organic carbon, total phosphorus, and available phosphorus contents. Pig manure biochar significantly reduced soil C:P and alleviated the stoichiometric imbalance between microbial biomass and soil resources. All biochar treatments significantly increased β-glucosidase activity (by 46.5%-131.1%) but decreased the activities of β-N-acetylglucosaminidase (by 20.6%-51.1%) and acid phosphatase (by 23.1%-56.4%). Biochar application significantly intensified microbial carbon limitation while reduced phosphorus limitation and decreased microbial carbon use efficiency, with the most pronounced reduction being observed under pig manure biochar. Biochar application significantly increased the abundances of functional genes of starch, hemicellulose, cellulose, pectin and lignin degradation, following the order of pig manure biochar > peanut shell biochar > maize straw biochar. Random forest analysis indicated that soil total phosphorus and available phosphorus contents were the key factors influencing microbial carbon limitation. Partial least squares path modeling (PLS-PM) indicated that biochar inputs increased microbial carbon limitation by elevating soil pH and alleviating the C:P imbalance, which in turn reduced carbon use efficiency. The degree of microbial carbon limitation exhibited a significant positive effect on the abundance of micro-bial carbon degradation functional genes. In conclusion, biochar from different feedstocks could regulate microbial nutrient limitation by altering soil pH and nutrient stoichiometric balance, thereby affecting microbial carbon metabolic efficiency.
    Carbon, nitrogen, and phosphorus stoichiometry of plant and soil and the driving factors across different restoration types of the northern forest-grass land ecotone.
    MIN Xue, WU Yeli, DING Guodong
    2026, 37(5):  1488-1496.  doi:10.13287/j.1001-9332.202605.010
    Asbtract ( 57 )   PDF (2121KB) ( 0 )  
    The stoichiometric characteristics of carbon (C), nitrogen (N), and phosphorus (P) in plant and soil are important indicators for ecological functions of vegetation under different restoration types. We analyzed C:N:P stoichiometric characteristics and the driving factors in plant components (leaves, litter, roots) and 0-100 cm soil layers across three typical restored vegetation types in the northern forest-grassland ecotone, including artificial arbor forest, artificial shrub forest, and natural grassland. The results showed that the average C contents in plant leaves, litter, and roots ranged from 371.60 to 402.07, 378.59 to 413.66, and 364.05 to 406.83 g·kg-1; the average N contents ranged from 13.23 to 27.81, 9.52 to 12.06, and 5.20 to 13.31 g·kg-1; and the average P contents ranged from 0.85 to 1.02, 0.28 to 0.82, and 0.16 to 0.89 g·kg-1, respectively. Leaves had the highest nutrient concentrations. Artificial arbor forest tended to have high C contents in leaves and roots. Artificial shrub forest was characterized by high N contents in plant components. Natural grassland featured high P contents in litter and roots. There was no difference in C content among components in arbor forest, but C content followed the order of litter > leaves > roots in shrub forest and grassland. N and P contents were higher in leaves than other tissue in artificial vegetation, but they were evenly distributed across tissues in natural grassland. The average contents of soil C, N, and P in the surface layer (0-20 cm) of the three vegetation types ranged from 7.45 to 10.76, 0.38 to 0.54, and 0.31 to 0.46 g·kg-1; the average C/N, C/P, and N/P ranged from 19.9 to 24.2, 24.1 to 27.1, and 1.2 to 1.5, respectively. Soil N content and N/P were significantly lower than the average level of Chinese soils, indicating N limitation in this area. In all soil layers, soil C content in natural grassland was significantly higher than that in artificial vegetation, soil P content in artificial shrub forest was the lowest, and no significant differences in soil N content, C/N, C/P, and N/P among vegetation types. There were significant positive correlations between N and P in leaves and roots, and among soil C, N, and P contents in natural grassland, showing strong element synergy. Redundancy analysis demonstrated that soil C:N:P stoichiometry were mainly regulated by soil pH, NO3--N, and nutrient contents in plants, with specific responses in different vegetation types. In conclusion, the coordinated and open nutrient cycling of natural grassland is conducive to soil nutrient conservation and long-term ecosystem stability.
    Effects of exogenous abscisic acid on physiological characteristics of Medicago sativa seedlings with different drought tolerance
    HU Xinyue, DING Xuejiao, DING Li, LI Fang, TIAN Yongli, MA Qiaoli
    2026, 37(5):  1497-1505.  doi:10.13287/j.1001-9332.202605.006
    Asbtract ( 58 )   PDF (3045KB) ( 0 )  
    To clarify the alleviative effect of exogenous abscisic acid (ABA) on Medicago sativa under drought stress, we conducted an experiment with the drought-tolerant cultivar Dryland and drought-sensitive cultivar WL354HQ. With four treatments including water spray control, exogenous ABA treatment, drought treatment, and drought + ABA treatment, we analyzed the effects of exogenous ABA on the physiological characteristics of M. sativa seedlings with different drought tolerance. The results showed that drought stress significantly inhibited seedling growth, induced severe oxidative stress and osmotic adjustment responses, and suppressed photosynthetic capacity. Compared with drought treatment, the drought + ABA treatment significantly alleviated the inhibition of drought on seedling growth. Specifically, root length of drought-tolerant and drought-sensitive cultivars increased significantly by 34.6% and 9.8%, respectively. Meanwhile, membrane lipid peroxidation in plant cells was effectively alleviated. Malondialdehyde (MDA) content in leaves and roots of the drought-tolerant cultivar significantly decreased by 20.0% and 54.9%, respectively. Excessive proline accumulation was inhibited. Proline content in leaves and roots decreased by 19.8% and 64.0% in the drought-tolerant cultivar, and by 3.5% and 20.2% in the drought-sensitive cultivar. The photosynthetic stability of the drought-tolerant cultivar was superior to that of the drought-sensitive cultivar. Specifically, leaf transpiration rate was significantly decreased by 62.5% and 49.1%, and net photosynthetic rate was significantly reduced by 58.9% and 32.7% in drought-tolerant and drought-sensitive cultivars, respecti-vely. In conclusion, ABA mitigated drought stress in M. sativa by coordinating osmotic adjustment and oxidative defense systems, and the alleviatory effect was stronger in the drought-tolerant cultivar.
    Changes of vegetation stability in the oasis-desert ecotone before and after “dry sowing and wet emergence” in farmland.
    LI Fangfang, HOU Zhengan, ZHANG Xiaran, ZHOU Zhaoting, LI Huajun, JIANG Yan
    2026, 37(5):  1506-1514.  doi:10.13287/j.1001-9332.202605.005
    Asbtract ( 61 )   PDF (4120KB) ( 0 )  
    We elucidated the impact of the “dry sowing and wet emergence” technique on the stability of vegetation in the oasis-desert ecotone of southern Xinjiang, with Xiaohaizi Irrigation District in Tumxuk City as a case. Based on GF-1 remote sensing imagery from 2020 to 2024, we established buffer zones extending from the cotton field edges into the surrounding desert and compared the spatiotemporal characteristics of the normalized difference vegetation index (NDVI) in the transition zone before and after the implementation of this technique. We then assessed the ecological stability by using Theil-Sen trend analysis, local spatial autocorrelation, and gravity migration model. The results showed that following the application of the “dry sowing and wet emergence” technique, vegetation in the transition zone experienced significant drought stress, leading to a marked reduction in ecosystem stability. Temporally, the most prominent NDVI degradation occurred in summer, with a 10.3% decrease within a 1-3 km range from the cotton fields, identifying it as the core degradation area. Spatially, the area of high vegetation coverage patches (NDVI>0.7) contracted by 52.2%, while the proportion of low-coverage areas (NDVI 0-0.1) increased from 33.4% in 2020 to 42.5% in 2023. Furthermore, the original “high-high” NDVI clustering area in the south completely transformed into a “low-low” clustering zone, exhibiting a trend of contiguous degradation. The dynamics of vegetation center of gravity revealed that, after the implementation of this technique, the inter-annual migration distance increased significantly, reaching a maximum of 409 m, with intensified directional fluctua-tions, reflecting a decline in the spatial stability of vegetation distribution. By reducing deep percolation and lateral subsurface flow from the farmland, the “dry sowing and wet emergence” technique effectively cut off the subsurface water supply to the transition zone vegetation, ultimately leading to vegetation degradation within a 3 km radius of cotton fields.
    Characteristics and circulation impacts of major agrometeorological disasters for single-season rice in the middle and lower reaches of the Yangtze River.
    ZENG Xinli, ZHU Yiwen, FENG Zhaozhong, PEI Yufei, CHEN Yujuan, ZHANG Qi
    2026, 37(5):  1515-1525.  doi:10.13287/j.1001-9332.202605.022
    Asbtract ( 68 )   PDF (6487KB) ( 0 )  
    Identifying the primary agrometeorological disasters affecting single-season rice in the middle and lower reaches of the Yangtze River, as well as their occurrence patterns and responses to large-scale circulation indices, can provide scientific basis for ensuring secure rice production. We used bibliometric analysis to determine the main types of agrometeorological disasters, critical growth stages, and identification methods for single-season rice in the region. With observational data from 274 meteorological stations and circulation indices from 1990 to 2020, we comparatively analyzed the occurrence characteristics of major disasters during key growth periods and their relationships with circulation factors. Results showed that heat stress, chilling damage, flood, and drought were the dominant agrometeorological threats to single-season rice in the area. Among these factors, heat stress events occurred most frequently, with an average incidence of 1.04 events per year. Spatially, the distribution patterns of severe heat stress and drought zones were consistent, primarily concentrated in the southeastern and southwestern parts of the study area. In these regions, heat stress intensity frequently exceeded 34 °C·d, while drought intensity surpassed 1.94 with chilling damage and flood incidents being less severe. Interannual trend analysis revealed that 92% of stations experienced increased frequency of heat stress events, with magnitude of change exceeding that of the other three disaster types. Chilling damage and drought events showed significant decreasing trends in northeastern areas, with reduction rates generally exceeding 0.25 events per decade. The number of stations reporting increased versus decreased flood occurrences was nearly equivalent. Among the four disaster types, heat stress occurrences had the strongest correlation with the Western Pacific subtropical high intensity, showing significant positive correlations at 52.6% of stations. Chilling damage events generally exhibited negative correlation with high intensity, though only 7.7% of stations reached statistical significance. Responses of flood and drought to this circulation index displayed contrasting patterns between southern and northern regions. These findings would provide valuable insights for guiding single-season rice production strategies in the middle and lower Yangtze River basin.
    Measurement of lagged efficiency and its regional variations of forest ecological product value realization in China from the perspective of whole life cycle.
    CHANG Binli, ZHANG Junbiao, LU Honggang, LI Xiaoxiao
    2026, 37(5):  1526-1538.  doi:10.13287/j.1001-9332.202605.029
    Asbtract ( 59 )   PDF (1597KB) ( 0 )  
    Constructing a scientific and systematic evaluation system for the level of ecological product value realization is an important tool for accurately measuring the practical outcomes of the “Two Mountains” concept and supporting natural resource management decisions. From a whole life cycle perspective, we clarified the input and output types across the entire process of forest ecological product value realization, and constructed an efficiency eva-luation index system for forest ecological product value realization. Using the super-efficiency SBM model and the Dagum Gini coefficient, and based on panel data from 30 Chinese provinces (excluding Xizang Autonomous Region and the regions of Hong Kong, Macao, and Taiwan) from 2012 to 2021, with capital, labor, energy, and forest resources as input variables and ecological, economic, and social values as output variables, we analyzed regional variations of lagged efficiency (efficiency that incorporated input and output time lag as lagged efficiency), and compared it with current efficiency (efficiency without such lag). The results showed the national lagged efficiency of forest ecological product value realization exhibited a fluctuating upward trend. At the regional level, the eastern region maintained at a high and stable level, while the central, western, and northeastern regions caught up. Shanxi, Xinjiang, and Yunnan ranked among the top in growth rate. Eleven provinces achieved an average lagged efficiency greater than 1, including Beijing, Tianjin, Shanghai, Jiangsu, Jiangxi, Shandong, Guangdong, Hainan, Chongqing, Guizhou, and Ningxia, indicating a relatively reasonable allocation of inputs and outputs. The remaining provinces had an average lagged efficiency below 1, indicating some redundancy in input factors. Redundancy in forestry investment completion amount and forestry system labor was the main reason for the lagged efficiency being less than 1. The lagged efficiency exhibited a downward trend, with inter-regional disparity being the main source of the overall differences in lagged efficiency. National lagged efficiency was generally higher than current efficiency, indicating that neglecting the time lags of input and output would underestimate the level of forest ecological product value realization. The differences between the two efficiency measures were significant in the central, western, and northeastern regions, which needed to fully consider input and output lag in policy formulation. The study could provide empirical evidence for differentiated value realization policies and coordinated regional development in four major regions of China.
    Individual-tree identification of Korean pine based on UAV imagery and Mask R-CNN.
    CHEN Hao, QUAN Ying, MA Xintai, BIAN Shaojie, WANG Bin, LI Mingze
    2026, 37(5):  1539-1548.  doi:10.13287/j.1001-9332.202605.007
    Asbtract ( 90 )   PDF (2352KB) ( 0 )  
    In the Pinus koraiensis broadleaved mixed forest of Maoershan Experimental Forest Farm in Northeast China, we used a high-resolution orthophoto dataset acquired by a DJI Zenmuse P1 UAV to construct a dataset of individual tree crown recognition. Using Mask R-CNN, we extracted the individual-tree crown detection, boundary segmentation, and crown width extraction, which were compared with YOLOv9 under the same hardware conditions to clarify the differences in applicability between the two models in terms of recognition accuracy and inference efficiency. Then, we selected the P. koraiensis plantation in Hongqi Forest Farm and the P. koraiensis broadleaved mixed forest in Lushuihe Forestry Bureau as transfer-test sites, and conducted cross-forest-type transfer experiments based on the Mask R-CNN model trained on the Maoershan plot, to evaluate its usefulness under different stand conditions and its response to changes in training sample size. The results showed that, in the P. koraiensis broadleaved mixed forest of Maoershan Experimental Forest Farm, the mean average precision (intersection over union was 0.50), precision, recall, and F1 (the harmonic mean of precision and recall) of crown detection by Mask R-CNN were 0.83, 0.79, 0.82, and 0.80, respectively; and the corresponding values for crown boundary segmentation were 0.82, 0.78, 0.92, and 0.87, respectively. The crown width prediction achieved an R2 of 0.89 and an RMSE of 0.42 m, and the overall accuracy was superior to that of YOLOv9. The inference speed of YOLOv9 was 63.7 FPS, approximately 4.3 times that of Mask R-CNN, making it more suitable for rapid large-area target localization. The transfer experiments showed that the initial detection and segmentation accuracies of Mask R-CNN in the P. koraiensis plantation of Hongqi Forest Farm were 0.82 and 0.80, respectively, indicating relatively stable performance. In the P. koraiensis broadleaved mixed forest of Lushuihe Forestry Bureau, the initial detection and segmentation accuracies were 0.44 and 0.42, respectively. Although the initial accuracy was relatively low, the improvement became more pronounced as the number of training samples increased. In summary, Mask R-CNN showed better applicability in the recognition of individual P. koraiensis tree, crown boundary segmentation, and crown width estimation, whereas YOLOv9 had advantage in rapid large-area inventory scenarios. This study provided technical support for P. koraiensis resource inventory, structural parameter extraction, and dynamic monitoring in Northeast China.
    Risk division of carbon sink losses of tea plantation under heat damage in Fuding City, Fujian Province.
    MAO Ying, LI Lichun, ZHANG Yuqin, WENG Shengheng, PAN Weihua
    2026, 37(5):  1549-1558.  doi:10.13287/j.1001-9332.202605.025
    Asbtract ( 50 )   PDF (2466KB) ( 0 )  
    Carrying out risk division of carbon sink losses caused by heat damage in tea plantation is of great signi-ficance for regional carbon balance and the sustainable development of tea industry. With tea plantations in Fuding City of Fujian Province as an example, we retrieved distribution information of tea plantations based on GF-7 sate-llite images, and integrated carbon sink data, temperature, elevation, and socioeconomic data to build a risk indicator system. The system covered the exposure of the disaster environment, the vulnerability of carbon sink, the risk of the disaster factor, and the disaster prevention and mitigation ability. By combining the entropy weight method, the analytic hierarchy process method and the comprehensive weighted method, we constructed a heat damage risk assessment model to achieve a refined division of carbon sink loss risk for tea plantation under heat damage. The results showed that the accuracy of tea plantation distribution information extracted from GF-7 satellite images was relatively high, with a producer’s accuracy of 76.4% and a user’s accuracy of 78.6%. The fitting degree between the remote sensing estimated tea plantation area and the records of statistical yearbook reached a significant level (R2=0.89). In the heat damage risk assessment model, the risk of the disaster factor had the maximum weight value (0.62), followed by the exposure of the disaster environment (0.21) and the vulnerability of carbon sink (0.16), while the disaster prevention and mitigation ability had the minimum weight value (0.01). Areas where the risk disaster factor reached severe level and above mainly distributed in the central, northern, southeastern and some southern parts of the study area. Those of exposure of the disaster environment were mainly located in the central, southeastern, eastern and some northern parts, and those of the vulnerability of carbon sink and extremely strong disaster prevention and mitigation ability were mainly in the central and southeastern regions. The risk area of carbon sink losses for tea plantation under heat damage could be divided into four levels, with low, moderate, high, and extremely high accounting for 18.4%, 27.0%, 29.8%, and 24.8% of the total tea plantation area, respectively. The areas with low and moderate risks were mainly distributed in the eastern coastal and high-altitude inland regions, while areas with high and extremely high risks were mostly located in low-altitude inland regions. The study could help relevant departments accurately identify the potential risks of carbon sink losses and thus provide a scientific basis for carbon sink management in tea plantations.
    Spatiotemporal variations and influencing factors for vegetation carbon sequestration in arid and humid zones of China during 2001 to 2020.
    LI Ludan, LIU Yanyan, FENG Haopeng, KANG Ping, SHEN Yuan, QIN Wenshuang, Klaus SCHAEFER, YUAN Dengpan
    2026, 37(5):  1559-1569.  doi:10.13287/j.1001-9332.202605.019
    Asbtract ( 59 )   PDF (5951KB) ( 0 )  
    Against the backdrop of global climate change, clarifying the spatiotemporal variations and driving mechanisms of vegetation carbon sequestration capacity across different arid and humid zones is a key scientific issue for formulating strategies for regional ecological restoration and carbon sink maintenance. Based on net primary productivity (NPP) data of China from 2001 to 2020, we analyzed the spatiotemporal variations and quantitatively evaluated the relative contributions of meteorological factors and human activities. The results showed that the multi-year average NPP across different arid and humid zones followed the order of humid zone (455.06 g C·m-2) > subhumid zone (442.33 g C·m-2) > subarid zone (342.93 g C·m-2) > arid zone (171.40 g C·m-2). The annual average NPP of all zones showed an increasing trend over time, with the subarid zone having the largest annual growth rate (1.38 g C·m-2·a-1) and the subhumid zone the smallest (0.09 g C·m-2·a-1). The proportions of areas with significantly improved NPP in the arid and subarid zones were 18.1% and 30.7%, respectively, while the proportions of areas with significantly degraded NPP in the humid and subhumid zones were 13.8% and 12.3%, respectively. The driving contributions of meteorological factors and human activities to the increases and decreases of NPP exhibited significant spatial heterogeneity. Radiation exhibited a negative contribution to NPP changes in humid, subhumid and subarid zones, with contribution rates of -46.5%, -47.9% and -18.5%, respectively. Precipitation exhibited a positive contribution to NPP changes in the arid and subarid zones (with contribution rates of 79.5% and 43.4%, respectively). Temperature exhibited a relatively weak impact on the increases and decreases of NPP across different arid and humid zones (with contribution rates only ranging from 0 to 0.7%). Human activities exerted a positive contribution to NPP changes in subarid, subhumid and humid zones, with contribution rates of 38.0%, 43.3% and 36.6%, respectively, while showing a negative contribution in arid regions, with contribution rate of -5.0%.
    Assessing ecological quality in open-pit coal mines based on different remote sensing indices.
    ZHANG Han, LI Feiyue, HE Yuyang, MENG Yaoqing, LI Jun, PU Lijun, ZHANG Chengye, PENG Manling
    2026, 37(5):  1570-1582.  doi:10.13287/j.1001-9332.202605.027
    Asbtract ( 42 )   PDF (6052KB) ( 0 )  
    Open-pit coal mines are widely distributed in China, and the ecological monitoring of which is susceptible to geographical heterogeneity in hydrothermal conditions, vegetation types, and soil characteristics. To achieve accurate cross-regional monitoring, it is essential to evaluate the applicability of ecological quality assessment indices. Based on Google Earth Engine and uniform Landsat 8 OLI data, we used the standardized remote sensing ecological index (RSEIs), land surface ecological status composition index (LSESCI), new remote sensing-based ecological index (RSEInew), and surface coal mine ecological index (SurMEI) to evaluate ecological quality of open-pit coal mines in four typical climatic-geomorphologic zones (arid Gobi, semi-arid grassland, semi-arid plateau, and karst plateau). Through comparative analysis of the evaluation results of four indices, combined with correlation analysis, spatial distribution identification, land cover response assessment, and validation with synchronous field measurement data from typical mining areas, we analyzed the adaptability and limitations of each index in open-pit coal mines across different climatic-geomorphologic zones. The results showed that the ecological quality assessment based on SurMEI exhibited the best performance (mean correlation coefficient of 0.810) in the four typical climatic-geomorphologic zones, demonstrating good adaptability in cross-regional evaluations. The performance disparities among the other three indices arose from mismatches between their index structures and regionally dominant ecological processes. RSEIs overestimated disturbances in humid areas due to excessive sensitivity to the normalized difference bare soil index. LSESCI exhibited misclassification in complex terrains, owing to instability of the brightness component derived from the tasseled cap transformation. RSEInew failed in arid zones because of the weak discriminative power of its added PM2.5 indicator. Furthermore, spatiotemporal analysis based on SurMEI revealed significant differences in ecological restoration potential across different climatic-geomorphologic zones, with the highest potential in the karst plateau, intermediate in the semi-arid region (including grassland and plateau), and the lowest in the arid Gobi, indicating that ecological restoration should follow the principle of “zonal management”. This study would provide a theoretical basis for accurate monitoring of ecological quality and model optimization for open-pit coal mines across different climatic-geomorphologic zones.
    Construction of the ecological security pattern in the Qilian Mountains and the assessment of ecological network resilience.
    DU Huaiyu, BAI Shan, SUN Tao, HAO Ruonan, YU Jinfeng
    2026, 37(5):  1583-1594.  doi:10.13287/j.1001-9332.202605.026
    Asbtract ( 72 )   PDF (4530KB) ( 0 )  
    Qilian Mountains are an important ecological security barrier in the western part of China. It is of great significance to construct an ecological security pattern of the Qilian Mountains to maintain ecological functions and biodiversity. Based on the research paradigm of “ecological source area-resistance surface-corridor”, we initially constructed an ecological network using the morphological spatial analysis (MSPA) method, InVEST models, and circuit theory. By combining social network analysis and robustness assessment, we analyzed the characteristics and resilience of ecological networks, thereby constructing the ecological security pattern. Based on the dual attributes of structure and function, combined with the MSPA and InVEST models, we identified 78 ecological source areas, mainly located in the forest land in the northern part of the Qilian Mountains, the grassland and water bodies in the southeastern part, and the Yanchiwan in the northwest. There were 175 ecological corridors, 280 ecological junctions (with a total area of 47.5 km2), 188 ecological barriers (with a total area reaching 1009.0 km2). Using Gephi, the centrality of ecological source nodes was classified, with the highest level of degree centrality comprising four nodes and the highest level of betweenness centrality comprising 32 nodes, which indicated that the four ecological sources in the Qilian Mountains served as hubs in the ecological network, while the other ecological sources primarily functioned as “bridges” connecting different parts. The robustness of ecological network connectivity and vulnerability robustness showed a downward trend under intentional and random attack scenarios, but the vulnerability robustness decreased faster, indicating that the functional aspects of the Qilian Mountains ecological network were more fragile than its structural aspects and more reliant on nodes with high centrality. Based on the global efficiency index and connectivity index, the ecological corridors were modified to propose an ecological security pattern of “one screen, four zones, and multiple corridors”.
    Variation characteristics of high-temperature and drought compound disasters in Liaoning Province based on Copula function and random forest.
    LIU Yutong, LIU Maohua, CHEN Nina, MI Na, YU Wen-ying, WU Jinwen, FENG Rui
    2026, 37(5):  1595-1604.  doi:10.13287/j.1001-9332.202605.028
    Asbtract ( 70 )   PDF (3142KB) ( 0 )  
    Under the backdrop of global climate change, the frequent occurrence of combined disasters of high temperature and drought poses severe challenges to food security, ecological environment, and sustainable socio-economic development. Based on the meteorological observation data from 1971 to 2024, we constructed an intensity index by combining the nested Copula model with the random forest algorithm, and analyzed the spatiotemporal variations, recurrence interval characteristics and intensity evolution law of compound high-temperature and drought disasters in Liaoning Province by coupling GIS technology. The results showed that the occurrence frequency of compound high-temperature and drought disasters presented a pattern of being high in the west and low in the east. The western region was a continuously expanding and intensifying high-frequency agglomeration area, while the eastern and coastal areas remained a stable low-frequency area for a long time. Compound high-temperature and drought disasters in Liaoning Province were dominated by short recurrence interval (0-2 years) events, which featured with high occurrence frequency and strong spatial agglomeration. The western region as the core high-incidence area. With the extension of the return period, the occurrence scope of disasters shrank sharply and the frequency decreased, and long recurrence interval events were only sporadically distributed in the western region. The intensity of single events experienced a phased evolution of weak occurrence-initial increase-rapid increase-maintenance-attenuation, peaking in the 1990s. The cumulative intensity gradually evolved from a pattern of single low-value agglomeration in the western region in the 1970s to a dual high-intensity agglomeration pattern in the western and central regions in the 2010s. The intensity of the core western region reached its peak at the end of the study period. In summary, the western region of Liaoning Province was the core affected area of compound high-temperature and drought disasters, and the disaster intensity showed an increasing trend. This study could provide a scientific basis for the formulation of disaster prevention and mitigation strategies and risk management in Liaoning Province.
    Optimizing of ecological networks in old industrial city based on the coupling of nature-culture: A case study of Shenyang City, Northeast China
    GAO Qin, CHEN Hongwei, ZHOU Yuan, WU Nan, DIAO Guoyu, MA Junjun, ZHANG Xiaobao
    2026, 37(5):  1605-1615.  doi:10.13287/j.1001-9332.202605.023
    Asbtract ( 62 )   PDF (3033KB) ( 0 )  
    The optimization of ecological networks based on the coupling of natural and human systems is of great significance for mitigating the fragmentation of ecological spaces and the disconnection of human landscape spaces in old industrial cities. Taking Shenyang City as a case, we identified ecological sources using morphological spatial pattern analysis and landscape connectivity analysis. We integrated historical landscapes and industrial heritage as human sources, applied the circuit theory to construct three types of spatial networks: ecological, historical landscape, and industrial heritage networks. We further employed topological structure analysis and the coupling coordination degree model to analyze the structural characteristics and spatial coupling relationships among these three networks and propose optimization strategies. The results showed that the ecological network structure of Shenyang City was relatively fragile, with network closure (α), connectivity (β), and connection rate (γ) indices being 0.30, 1.48, and 0.54, respectively. A total of 16 ecological sources were identified, with a corridor density of 0.07 km·km-2. There were 38 ecological key points and 115 ecological interference points. The historical landscape network structure was intermediate, with the three indices being 0.35, 1.66, and 0.57, respectively, exhibiting a polycentric radial pattern spatially. The industrial heritage network structure was relatively stable, with the three indices being 0.38, 1.70, and 0.59, respectively, showing a high concentration of industrial heritage in Tiexi District. The coordination degree of the three networks decreased from the center to the periphery. Interaction hotspot areas were all located within the Third Ring Road of Shenyang City, where the ecological-historical landscape hotspot areas highly overlapped with the composite hotspot areas of the three networks. After optimization, the number of ecological sources increased to 33, and the area increased 144.31 km2. Corridor density increased to 0.15 km·km-2, while the α, β and γ indices improved by 37.7%, 19.1%, and 11.2%, respectively, compared to those of the pre-optimization ecological network. This study validated the feasibility of integrating historical landscape conservation and ecological restoration of industrial brownfields into ecological networks, which would provide a quantitative scientific basis for old industrial cities to implement “multi-plan integration” and achieve systematic governance and collaborative optimization of ecological, historical, and industrial spaces within territorial spatial planning.
    Responses of nitrogen distribution in marsh plant-soil system to high nitrogen and sulfur loads in the Minjiang River estuary.
    SUI Lulu, SUN Zhigao, WU Huihui, LI Erheng, ZHONG Xiaoying, LIAO Yuchen, LIU Xin, HOU Xiaofeng
    2026, 37(5):  1616-1628.  doi:10.13287/j.1001-9332.202605.032
    Asbtract ( 40 )   PDF (2987KB) ( 0 )  
    Estuarine marsh is one of the most sensitive ecosystems to global change and human activities. Estuarine marsh generally acts as a sink of exogenous nitrogen (N), with significant effects on N-cycling. Under the scenario of enhanced N and sulfur (S) loads in the Minjiang River estuary, it is of great significance to explore the responses of N distribution in plant-soil system. We conducted a field experiment with four treatments (T0, control; TN, high N load treatment, 98.0 g N·m-2·a-1; TS, high S load treatment, 216.0 g S·m-2·a-1; and TNS, high N and S load treatment, 98.0 g N·m-2·a-1 + 216.0 g S·m-2·a-1) in a typical Phragmites australis marsh in the Minjiang River estuary. We investigated nitrogen distribution patterns in the plant-soil system under elevated N and S inputs. Results showed that high N and S load significantly altered the contents of total nitrogen (TN), ammonium (NH4+-N) and nitrate (NO3--N) in marsh soils. Compared with the T0 treatment, the TN, NH4+-N and NO3--N contents in the TN treatment increased by 9.1%, 1.3% and 13.4%, the TN content in the TS treatment increased by 9.4%, while the NH4+-N and NO3--N contents decreased by 2.7% and 33.6%, respectively. The TN and NH4+-N contents in the TNS treatment decreased by 13.3% and 6.7%, respectively, while NO3--N content increased by 37.9%. Under different treatments, the TN contents were consistently higher in leaves and lower in roots of P. aus-tralis. Compared with the T0 treatment, root TN contents increased by 1.5% under the TN treatment but decreased by 7.0% and 15.4% under the TS and TNS treatments, while those in leaves in the TN, TS and TNS treatments increased by 10.4%, 1.9% and 7.9%, respectively. Among different treatments, the N stocks in the plant-soil system in the TN and TS treatments were much higher, while that in the TNS treatment was the lowest. Under different N and S loading conditions, P. australis adapted to environmental variations by altering its N uptake and translocation strategies. It adopted a “limited uptake and limited translocation” strategy under high N loading condition, a “massive uptake and massive translocation” strategy under high S loading condition, and a “limited uptake but massive translocation” strategy under high N and S loading condition.
    Spatiotemporal variations and driving mechanisms of water conservation value in Shanxi Province from a geomorphic zoning perspective.
    WANG Jingwei, YUE Jing, YAN Zheng, GUO Shenghao, HE Qiuqing
    2026, 37(5):  1629-1640.  doi:10.13287/j.1001-9332.202605.021
    Asbtract ( 60 )   PDF (3887KB) ( 0 )  
    Accurate quantification of the value of water conservation function is crucial for assessing the effectiveness of ecological restoration and promoting the realization of ecological product value. Shanxi Province, characteri-zed by fragile ecosystems, has been a key implementation area for national ecological projects. However, precise economic valuation of the ecological restoration outcomes in Shanxi Province remains limited. To address this, we integrated the InVEST model, Monte Carlo model, and a shadow project approach incorporating geomorphic zoning-based differential pricing to analyze the spatiotemporal variations of water conservation capacity and its economic value in Shanxi Province from 2005 to 2023. The driving mechanisms were further investigated using Geodetector and principal component analysis. The results showed that the total water conservation capacity in the province showed an overall increasing trend from 2005 to 2023, with the increase in its economic value (66.8%) being much higher than the increase in water conservation capacity (8.7%). Water conservation capacity exhibited a spatial pattern of higher in the south and lower in the north, whereas the growth rate of water conservation value pre-sented characteristics of higher in the north and lower in the south, rising in the west and slow in the east. The Lyuliang mountainous area in western Shanxi and the northern region showed particularly significant growth, with the strongly eroded loess ridge-hill area recording the highest value increase of 91.9%. The dominant factors and interactive mechanisms driving spatial variations of water conservation value demonstrated clear geomorphic dependence. In transitional geomorphic zones with intensive human activities, the synergistic effect between normalized difference vegetation index, and construction land played a dominant role. In ecologically vulnerable loess zones and the arid areas of northern Shanxi, the climate-vegetation synergy served as the key regulatory mechanism. Artificial ecological projects had generated significant marginal value returns in ecologically fragile zones. Future ecological management should shift towards a “zonal governance, precision enhancement” strategy. The high-value-return areas such as western and northern Shanxi should focus on improving vegetation cover and grassland quality. The high-capacity areas such as southeastern Shanxi should strengthen ecological space protection and structural optimization. At the provincial scale, the ecological space baseline must be strictly maintained to systematically enhance water conservation value.
    Light disturbance of light shows on ecological spaces and its impact distance: A case study of the Guangzhou International Light Festival.
    JIANG Benyan, JIAN Shuyi, ZHENG Jianchuan, LI Jianjun, CHEN Jintang
    2026, 37(5):  1641-1650.  doi:10.13287/j.1001-9332.202605.024
    Asbtract ( 77 )   PDF (2801KB) ( 0 )  
    Urban festive lighting, represented by light shows, can boost nighttime economy, but the threat of high-intensity light interference to ecological spaces cannot be overlooked. With the Guangzhou International Light Festival as a case, we constructed a high-resolution ground-based observation network covering up to 16 km from the light source center, to accurately quantify the light disturbance within ecological spaces and its impact distance. The results showed that, compared with normal nights without light shows, during the light festival period, the average night sky brightness within 16 km of the Canton Tower (light show center) increased by more than 0.26 mag·arcsec-2(increase >1.6%), with a maximum increase at a single point for a single observation reaching 0.65 mag·arcsec-2(increase 4.2%). The dynamic high-frequency fluctuations of light exhibited significant nonlinear characteristics. At a distance of 6 km from the light source, both the standard deviation of zenith brightness (0.19) and the instantaneous fluctuation amplitude (3.5%) exceeded those at the source center, forming a dynamic peak zone where far-field intensity was stronger than near-field intensity. This study found the significant impact distance of light shows was 6-7 km. Based on the finding, we proposed planning and management strategies such as delineating a 6 km light-ecological buffer zone and avoiding peak bird migration periods, providing a scientific basis for coordinating the development of the nighttime economy and the protection of nocturnal ecosystems.
    Simulation of CO2 flux in floating-leaf vegetation zones of Lake Taihu based on machine learning models.
    LUO Shiji, ZHANG Mi, JIA Lei, XIAO Wei, QIAO Heng, ZHANG Shenbao, SHI Jie, GE Pei, YANG Fuyu, HE Yang
    2026, 37(5):  1651-1664.  doi:10.13287/j.1001-9332.202605.035
    Asbtract ( 42 )   PDF (2367KB) ( 0 )  
    As an important component of inland waters, shallow lakes are hotspots for CO2 emissions. Due to the influence of eutrophication and aquatic macrophyte, CO2 fluxes at the water-air interface of shallow lakes exhibit complex variability, posing challenges for high-accuracy simulation. To compare the performance of different machine learning models in simulating CO2 fluxes in shallow lakes, we focused on a floating-leaved vegetation zone in eastern Lake Taihu. Based on CO2 flux observations from an eddy covariance system, combined with meteorological, water quality, and vegetation variables, we developed four machine learning models, random forest (RF), support vector machine (SVM), backpropagation neural network (BPNN), and long short-term memory network (LSTM). Then, we evaluated the performance under three modeling scenarios, including growing season, non-growing season, and whole-season. Among the three modeling scenarios, the whole-season modeling approach achieved the best overall performance, with test-set metrics consistently outperforming those of the seasonal models. The RF model exhibited the highest accuracy and robustness under all the three scenarios. In the whole-season mode-ling scenario, the RF model achieved a coefficient of determination (R2) of 0.72 and a root mean square error (RMSE) of 0.57 μmol·m-2·s-1. For the growing-season model, the RF performance yielded an R2 of 0.64 and an RMSE of 0.88 μmol·m-2·s-1, while in the non-growing-season model, the R2 and RMSE were 0.61 and 0.43 μmol·m-2·s-1, respectively. The SVM and BPNN models showed comparable but inferior performance, whereas the LSTM model performed relatively poorly. Furthermore, we used recursive feature elimination (RFE) to identify the optimal combination of driving factors for the RF model under the whole-season scenario. The selected feature set included: surface water temperature (Tw_20), sediment temperature (Ts), dissolved oxygen (DO), air tempera-ture (Ta), incoming shortwave radiation (Rs_in), wind speed (WS), total nitrogen (TN), water pH, friction velocity (u*), and normalized difference vegetation index (NDVI). This feature set further improved simulation accuracy (R2=0.76, RMSE=0.55 μmol·m-2·s-1) and effectively reduced model complexity. The SHAP analysis showed the significant influences of water temperature, radiation, dissolved oxygen, and vegetation index on CO2 fluxes. The results would provide a useful methodological reference for CO2 flux modeling and carbon cycle studies in shallow lakes.
    Observations of CH4 flux from inland waters based on the relaxed eddy accumulation method.
    ZHANG Shenbao, ZHANG Mi, HE Yang, XIAO Wei, JIA Lei, LUO Shiji, QIAO Heng, SHI Jie, YANG Fuyu, GE Pei, YANG Zhonghao
    2026, 37(5):  1665-1674.  doi:10.13287/j.1001-9332.202605.036
    Asbtract ( 33 )   PDF (4252KB) ( 0 )  
    Inland water bodies are important CH4 sources. The accurate observation of CH4 fluxes is key to quantitatively assessing emissions. The relaxed eddy accumulation (REA) method is a technique for calculating material fluxes using the differences of gas concentration in upward and downward air movements over a period, the standard deviation of vertical wind speed (σw), and an empirical coefficient b. We utilized observation data obtained with the eddy covariance (EC) method at the East Taihu Lake site (DTH site) of the mesoscale flux observation network in the large water body of Lake Taihu and the Guandu small water body aquaculture pond site (GD site) in Anhui. By leveraging the similarity between physical quantities in the REA method and adopting the “proxy variable method”, three types of five methods, including synchronous b-value, fixed b-value (including mean, median, and fitted slope), and corrected b-value, were used to determine the empirical coefficient b in REA on the basis of determining the optimal proxy variable, and ultimately obtain CH4 flux. We assessed the applicability of the REA method for observing CH4 fluxes in large and small inland water bodies and clarified the optimal of the key coefficient b. The results showed that among the b-values for all flux results at both sites, the b-value for water vapor flux exhibited the smallest dispersion, making it suitable as the optimal proxy variable for the REA method. The interquartile range (the difference between the third and first quartiles) of the water vapor flux b-value showed a trend of first decreasing and then increasing with the increase of the vertical wind speed threshold (wd). In this study, wd was set to 0.4 times σw. Compared with CH4 fluxes observed by the EC method, at the DTH site, CH4 fluxes calculated using the fixed b-value mean and fixed b-value median performed best. At the GD site, CH4 fluxes calculated using the fixed b-value fitted slope performed best. The optimal b-values for the DTH and GD sites were 0.443 and 0.500, respectively. CH4 fluxes obtained by the REA method at both sites showed good consistency with those obtained by the EC method, indicating that the REA method is applicable for observing CH4 fluxes over inland water underlying surfaces. Generally, the b-value of large water bodies is smaller than that of small water bodies.
    Spatiotemporal variations and influencing factors of phytoplankton functional groups in the urban water network of Suzhou, China
    WEI Fankai, XU Ligang, LI Wenxuan, SONG Tao
    2026, 37(5):  1675-1684.  doi:10.13287/j.1001-9332.202605.037
    Asbtract ( 72 )   PDF (2843KB) ( 0 )  
    Suzhou urban water network is a typical plain river-lake composite system regulated by sluices. To clarify the spatiotemporal variations and driving mechanisms of phytoplankton functional groups (PFGs) under intensive anthropogenic interference, we conducted a systematic investigation across 102 sampling sites, including backbone rivers, urban rivers, and lakes, during flood and non-flood seasons from 2022 to 2023. Results showed that a total of 198 species belonging to 8 phyla were identified, with Chlorophyta (42.4%), Bacillariophyta (25.2%), and Cyanophyta (13.1%) as the dominant phyla. Fourteen dominant functional groups were identified, including eutrophic mesothermal (M), mixed eutrophic (P), clear-water diatom (J), stagnant-water planktonic (T), stagnant-water mixotrophic (Y), turbidity-tolerant (D), and mesotrophic (B). The average density and biomass were 6.87×105 cells·L-1 and 0.09 mg·L-1, respectively. Phytoplankton biomass in the Suzhou water network exhibited significant spatiotemporal heterogeneity, being generally higher in the flood season than in the non-flood season. Y, D, T, P, and B were the core dominant groups across the entire region. The seasonal succession was driven by the dual effects of natural rhythms and artificial regulation. The flood season was dominated by the high-nutrient-tolerant groups M and Lo, while the non-flood season shifted toward T and B, which were adapted to mesothermal and stable habitats. The extreme heat event in 2022 significantly enhanced the year-round dominance of thermophilic groups Y and T. Results of structural equation modeling (SEM) indicated that phytoplankton biomass in lakes was primarily driven by water temperature and total phosphorus, whereas electrical conductivity exerted a more significant influence on rivers. This study elucidated the response mechanisms of phytoplankton functional groups to multiple environmental stressors in subtropical urban river networks, providing a theoretical basis for the ecological management of sluice-controlled river-lake systems.
    Reviews
    Processes of carbon-nitrogen coupling and the regulation in estuarine wetland.
    HE Xiaoqian, LI Pan, DING Hu, LI Jing, WANG Jinzhi, CUI Lijuan, YAN Zhifeng
    2026, 37(5):  1685-1696.  doi:10.13287/j.1001-9332.202605.034
    Asbtract ( 62 )   PDF (1799KB) ( 0 )  
    Estuarine wetlands play a crucial role in maintaining ecosystem services through carbon and nitrogen cycling. However, escalating nitrogen inputs from human activities, coupled with global environmental change, are altering carbon uptake, turnover, and storage. We synthesized current knowledge on the biogeochemical responses of estuarine wetlands to increasing nitrogen loading, with emphasis on the interactive pathways linking soil/sediment, vegetation, and atmosphere. Based on the understanding of key coupling processes, we discussed potential implementation pathways from a nature-based solutions (NbS) perspective to enhance nitrogen reduction and carbon sequestration, aiming to provide a scientific reference for mitigating coastal eutrophication and improving the carbon-sink function of estuarine wetlands.
    Plant water adaptation strategies and lithological driving mechanisms in karst ecosystems: A review.
    DING Yali, CHEN Hongsong, ZHOU Jinxing
    2026, 37(5):  1697-1707.  doi:10.13287/j.1001-9332.202605.002
    Asbtract ( 101 )   PDF (1319KB) ( 0 )  
    The karst region of Southwest China is characterized by extensive bedrock exposure and limited soil cover, forming a dual structure of soil and water. Such unique geological background makes epikarst water a critical water source for plants, while bedrock lithology is the key factor driving the development and water storage capacity of epikarst zone. Under the combined impacts of extreme climate events and frequent karstic drought, the sustainability of vegetation restoration faces severe challenges. It is crucial to clarify the influences of lithology-regulated water supply on plant adaptation strategies. We summarized research progress in the regulation of karst bedrock lithology on plant water source, transport, and utilization strategies. Lithology determines the water storage capacity of bedrock. Limestone features well-developed fractures and fissures that could store abundant water sources, while dolomite’ dense structure hinders bedrock fissure development, resulting in weaker water storage capacity. Rock moisture serves as a crucial water source for karst plants. Dominant species in limestone habitats typically possess deep root systems that capable of accessing karst aquifer water. Their hydraulic regulation tends to be “anisohydric strategy”, wherein plants maintain stomatal opening under drought stress to gain carbon benefits. Dolomite hillslopes are dominated by shallow-rooted herbaceous plants and shrubs relying primarily on recent precipitation or shallow soil water sources. Their water utilization exhibits a “short water age” pattern, where water remains for a short duration during storage and transport in the root zone. Karst plants cope with drought stress through water-conserving strategies, including switching water source depth, separating hydrological niches, and enhancing water use efficiency. Compared to plants on limestone-derived landscapes, shallow-rooted deciduous shrubs growing on dolomite-developed hillslopes face heavier drought mortality risks. Future research should quantitatively characterize the coupling processes and feedback mechanisms among lithology, water availability, and plant adaptation. This could provide scientific basis for assessing vegetation dynamics and achieving high-quality vegetation restoration in ecologically fragile karst ecosystem.
    Cable bacteria drive electrochemical coupling and elemental cycling in rhizosphere: A review.
    GUO Di, LIU Chang, CHEN Yiting
    2026, 37(5):  1708-1716.  doi:10.13287/j.1001-9332.202605.033
    Asbtract ( 68 )   PDF (1380KB) ( 0 )  
    Cable bacteria are a type of filamentous conductive microorganisms with the capacity of centimeter level long-range electron transfer (LDET). As a “biological cable” in the environment, they play a key role as geochemi-cal engineers in the rhizosphere microenvironment. They also drive a series of interconnected redox reactions by constructing a unique bioelectrochemical network that connects root oxygen secretion (ROL) with deep sulfide oxidation. We reviewed the colonization patterns of cable bacteria in the rhizosphere and their interactions with plants. LDET could efficiently drive the in-situ formation of sulfide detoxification and iron oxide barriers, deeply couple the sulfur iron phosphorus cycle, significantly reduce methane emissions from ecosystems such as rice paddies, and improve phosphorus fixation and retention efficiency. The interaction between cable bacteria and plants has great potential for applications in organic pollutant degradation, heavy metal stabilization, ecosystem restoration, and greenhouse gas emission reduction. This review would provide new research ideas and theoretical references for deepening the understanding of microbial-plant symbiosis and transforming it into ecological engineering strategies, such as rhizosphere remediation and greenhouse gas emission reduction.
    Research progress on biofilm-driven microplastic sedimentation.
    CAO Yaqin, CHEN Xiaoyang, KONG Lingtao, DENG Daogui, SHI Jinhong, FANG Wenjing
    2026, 37(5):  1717-1730.  doi:10.13287/j.1001-9332.202605.031
    Asbtract ( 65 )   PDF (3250KB) ( 0 )  
    Biofilms play a crucial role in regulating the behavior of microplastics (MPs) in aquatic environments, yet their dynamic mechanisms have often been overlooked in traditional models. We reviewed the formation mechanism of biofilm and its impact on the sedimentation behavior of MPs. Upon entering water, MPs are rapidly colonized by microorganisms, forming biofilm structures composed of extracellular polymeric substances (EPS) and microbial communities. This process is influenced by exposure time, environmental conditions, and the intrinsic properties of MPs. Biofilms significantly affect MPs sedimentation and vertical distribution by increasing their effective density, promoting aggregation, and altering surface properties, challenging the applicability of prediction models based solely on physical attributes. Microorganisms (particularly microalgae) and their EPS secretions are key factors driving sedimentation differences. We further summarized current research progress on biofilm-MPs interactions, their applications, and limitations. Future research should focus on the following areas. Mechanistically, we should develop multiscale models that integrate biofilm dynamics with hydraulic conditions. Methodologically, we should advance in-situ observation techniques to quantitatively characterize biofilm properties such as EPS composition and community function. From an application perspective, we should explore bioremediation strategies that use functional microorganisms, such as specific algae or bacteria, to control MPs sedimentation.