Spatial variation of ecological environment quality and its influencing factors in Poyang Lake area, Jiangxi, China

doi:10.13287/j.1001-9332.201912.035

Abstract

Abstract: Based on Landsat 8 OLI/TIRS remote sensing image data, indices including NDVI, WET, NDSI and LST were selected from the aspects of greenness, humidity, dryness and heat respectively, and remote sensing ecological index (RSEI) was constructed by principal component analysis to analyze the spatial distribution of ecological environment quality in Poyang Lake area in 2014. The spatial heterogeneity and its influencing factors of the original remote sensing ecological index (RSEI₀) were quantitatively analyzed using spatial autocorrelation, semi-variance function, maximum information coefficient, and factor detection. The results showed that ecological environment quality of Poyang Lake area was generally at a moderate level in 2014 and that the overall spatial distribution pattern from southwest to northeast gradually improved. The exploratory spatial data analysis showed that RSEI₀ had strong spatial clustering and spatial heterogeneity under the sampling of 2 km grid element. The nugget effect value of RSEI₀ was 25.8%, which belonged to medium spatial variability and was mainly affected by structural factors. The results of maximum information coefficient and factor detection analysis showed that slope had the strongest positive correlation with RSEI₀. Slope, elevation, curvature, annual average rainfall, annual average temperature, proportion of garden forest area, proportion of cultivated land area, proportion of construction land area, annual average population density and annual average GDP significantly affected RSEI₀, but with different magnitude of influences. Among them, the slope independent explanatory power was 57.1%, which was the main factor affecting spatial variation of RSEI₀ in Poyang Lake area. Our results could provide reference for the protection and management of ecological environment in the Poyang Lake area.

ZHU Qing, GUO Jia-xin, GUO Xi, XU Zhe, DING Hui, HAN Yi. Spatial variation of ecological environment quality and its influencing factors in Poyang Lake area, Jiangxi, China[J]. Chinese Journal of Applied Ecology, 2019, 30(12): 4108-4116.

References

[1] Barbara S. Application of surrogate measures of ecological quality assessment: The introduction of the Indicator of Ecological Landscape Quality (IEIQ). Ecological Indicators, 2017, 73: 224-234
[2] Zhao Q-G (赵其国), Huang G-Q (黄国勤), Ma Y-Q (马艳芹). The ecological environment conditions and construction of an ecological civilization in China. Acta Ecologica Sinica (生态学报), 2016, 36(19): 6328-6335 (in Chinese)
[3] Jiang C-L (蒋超亮), Wu L (吴玲), Liu D (刘丹), et al. Dynamic monitoring of eco-environmental quality in arid desert area by remote sensing: Taking the Gurbantunggut Desert China as an example. Chinese Journal of Applied Ecology (应用生态学报), 2019, 30(3): 877-883 (in Chinese)
[4] Boyd DS, Foody GM. An overview of recent remote sensing and GIS based research in ecological informatics. Ecological Informatics, 2011, 6: 25-36
[5] Xu H-Q (徐涵秋). A remote sensing urban ecological index and its application. Acta Ecologica Sinica (生态学报), 2013, 33(24): 7853-7862 (in Chinese)
[6] Xu H-Q (徐涵秋). A remote sensing index for assessment of regional ecological changes. China Environmental Science (中国环境科学), 2013, 33(5): 889-897 (in Chinese)
[7] Ministry of Environmental Protection of The People’s Republic of China (中华人民共和国环境保护部). Technical Specifications for Evaluation of Ecological and Environmental Conditions (HJ 192-2015). Beijing: China Environmental Science Press, 2015 (in Chinese)
[8] Xu X-Q (许雪青), Liu Z-B (刘忠波), Zhang J (张晋), et al. Assessment of the marine ecological environment in Bohai Sea based on a variable fuzzy sets method. Transactions of Oceanology and Limnology (海洋湖沼通报), 2014, 36(3): 51-57 (in Chinese)
[9] Chen Q (陈强), Chen Y-H (陈云浩), Wang M-J (王萌杰), et al. Ecosystem quality comprehensive evaluation and change analysis of Dongting Lake in 2001-2010 based on remote sensing. Acta Ecologica Sinica (生态学报), 2015, 35(13): 4347-4356 (in Chinese)
[10] Zhang L-W (张立伟), Zhang Y (张运), Huang C (黄晨). Remote sensing index analysis on ecological environment changes in the recent 20 years of city belt in Wanjiang. Resources and Environment in the Yangtze Basin (长江流域资源与环境), 2018, 27(5): 1061-1070 (in Chinese)
[11] Liu Z-C (刘智才), Xu H-Q (徐涵秋), Li L (李乐), et al. Ecological change in the Hangzhou area using the remote sensing based ecological index. Journal of Basic Science and Engineering (应用基础与工程科学学报), 2015, 23(4): 728-739 (in Chinese)
[12] Wang L-C (王丽春), Jiao L (焦黎), Lai F-B (来风兵), et al. Evaluation of ecological changes based on a remote sensing ecological index in a Manas Lake wetland, Xinjiang. Acta Ecologica Sinica (生态学报), 2019, 39(8): 1-9 (in Chinese)
[13] Guo Z-C (郭泽呈), Wei W (魏伟), Pang S-F (庞素菲), et al. Spatio-temporal evolution and motivation analysis of ecological vulnerability in arid inland river basin based on SPCA and remote sensing index: A case study on the Shiyang River Basin. Acta Ecologica Sinica (生态学报), 2019, 39(7): 1-14 (in Chinese)
[14] Liu P (刘盼), Ren C-Y (任春颖), Wang Z-M (王宗明), et al. Assessment of the eco-environmental qua-lity in the Nanweng River Nature Reserve, Northeast China by remote sensing. Chinese Journal of Applied Ecology (应用生态学报), 2018, 29(10): 3347-3356 (in Chinese)
[15] Zhang C (张灿), Xu H-Q (徐涵秋), Zhang H (张好), et al. Fractional vegetation cover change and its ecological effect assessment in a typical reddish soil region of southeastern China: Changting County, Fujian Province. Journal of Natural Resources (自然资源学报), 2015, 30(6): 917-928 (in Chinese)
[16] Li F-L (李粉玲), Chang Q-R (常庆瑞), Shen J (申健), et al. Dynamic monitoring of ecological environment in loess hilly and gully region of Loess Plateau based on remote sensing: A case study on Fuxian County in Shaanxi Province, Northwest China. Chinese Journal of Applied Ecology (应用生态学报), 2015, 26(12): 3811-3817 (in Chinese)
[17] Yang J-Y (杨江燕), Wu T (吴田), Pan X-Y (潘肖燕), et al. Ecological quality assessment of Xiong’an New Area based on remote sensing ecological index. Chinese Journal of Applied Ecology (应用生态学报), 2019, 30(1): 277-284 (in Chinese)
[18] The State Council of China (国务院). Ecological Economic Zone Planning of Poyang Lake [EB/OL]. (2010-02-16) [2019-04-16]. http://finance.ifeng.com/news/20100226/1863953.shtml (in Chinese)
[19] Zhou Y-K (周云凯), Bai X-L (白秀玲), Jiang J-H (姜加虎). Study on the temporal and spatial variations of ecosystem health in Poyang Lake region over the recent 17 years. Acta Scientiae Circumstantiae (环境科学学报), 2012, 32(4): 1008-1017 (in Chinese)
[20] Yu D (余敦), Chen W-B (陈文波). Land ecological safety in Poyang Lake Eco-economic Zone: An eva-luation based on matter-element model. Chinese Journal of Applied Ecology (应用生态学报), 2011, 22(10): 2681-2685 (in Chinese)
[21] Liu X-L (刘肖利). Evaluating Eco-environmental Qua-lity for Poyang Lake Eco-economic Zone during 2000-2010 with Remote Sensing. Master Thesis. Nanchang: Jiangxi Normal University, 2013 (in Chinese)
[22] Zhang S-M (张素梅), Wang Z-M (王宗明), Zhang B (张柏), et al. Prediction of spatial distribution of soil nutrients using terrain attributes and remote sensing data. Transactions of the Chinese Society of Agricultural Engineering (农业工程学报), 2010, 26(5): 188-194 (in Chinese)
[23] Wang H (王欢), Gao J-B (高江波), Hou W-J (侯文娟). Quantitative attribution analysis of soil erosion in different morphological types of geomorphology in karst areas: Based on the geographical detector method. Acta Geographica Sinica (地理学报), 2018, 73(9): 1674-1686 (in Chinese)
[24] Goward SN, Xue Y-K, Czajkowski KP. Evaluating land surface moisture conditions from the remotely sensed temperature/vegetation index measurements: An exploration with the simplified simple biosphere model. Remote Sensing of Environment, 2002, 79: 225-242
[25] Crist EP. A TM tasseled cap equivalent transformation for reflectance factor data. Remote Sensing of Environment, 1985, 17: 301-306
[26] Xu H. A new index for delineating built-up land features in satellite imagery. International Journal of Remote Sensing, 2008, 29: 4269-4276
[27] Roy PS, Rikimaru A, Miyatake S. Tropical forest cover density mapping. Tropical Ecology, 2002, 43: 39-47
[28] Nichol J. Remote sensing of urban heat islands by day and night. Photogrammetric Engineering & Remote Sensing, 2005, 71: 613-622
[29] Xu H-Q (徐涵秋). A study on information extraction of water body with the modified normalized difference water index (MNDWI). Journal of Remote Sensing (遥感学报), 2005, 9(5): 589-595 (in Chinese)
[30] Cheng X (程鑫), Shi H-B (石洪波). Limitations and expansion of traditional correlation analysis in the era of big data. Statistics & Decision (统计与决策), 2015(5): 73-75 (in Chinese)
[31] Reshef DN, Reshef YA, Finucane HK, et al. Detecting novel associations in large data sets. Science, 2011, 334: 1518-1524
[32] Wang J-F (王劲峰), Xu C-D (徐成东). Geodetector: Principle and prospective. Acta Geographica Sinica (地理学报), 2017, 72(1): 116-134 (in Chinese)
[33] Zhang X-D (张晓东), Liu X-N (刘湘南), Zhao Z-P (赵志鹏), et al. Dynamic monitoring of ecology and environment in the agro-pastral ecotone based on remote sensing: A case of Yanchi County in Ningxia Hui Autono-mous Region. Arid Land Geography (干旱区地理), 2017, 40(5): 1070-1078 (in Chinese)
[34] Yueriguli K-S-M (约日古丽卡斯木), Zibibula S-M-Y (孜比布拉·司马义), Wang L (王蕾), et al. Response of ecological environment change to urban construction land expansion in Bole City of Xinjiang. Transactions of the Chinese Society of Agricultural Engineering (农业工程学报), 2019, 35(1): 252-259 (in Chinese)
[35] Li J-T (李进涛), Liu Y-S (刘彦随), Yang Y-Y (杨园园), et al. Spatial-temporal characteristics and dri-ving factors of urban construction land in Beijing-Tianjin-Hebei region during 1985-2015. Geographical Research (地理研究), 2018, 37(1): 37-52 (in Chinese)