帽儿山地区1983—2016年森林景观空间点格局及其关联动态性

doi:10.13287/j.1001-9332.201808.012

应用生态学报 ›› 2018, Vol. 29 ›› Issue (8): 2601-2614.doi: 10.13287/j.1001-9332.201808.012

帽儿山地区1983—2016年森林景观空间点格局及其关联动态性

孙云霞, 刘兆刚^*, 董灵波

东北林业大学林学院, 哈尔滨 150040

收稿日期:2017-11-23 出版日期:2018-08-20 发布日期:2018-08-20
通讯作者: E-mail: lzg19700602@163.com
作者简介:孙云霞,女,1987年生,博士研究生. 主要从事森林经营与管理研究. E-mail: sunyunxia0421@163.com
基金资助:
本文由大兴安岭次生林抚育更新技术研究与示范项目(2017YFC0504103)资助

Spatial point patterns and their association dynamics of forest landscapes in Maoershan region, Northeast China between 1983 and 2016.

SUN Yun-xia, LIU Zhao-gang^*, DONG Ling-bo

College of Forestry, Northeast Forestry University, Harbin 150040, China.

Received:2017-11-23 Online:2018-08-20 Published:2018-08-20
Supported by:
This work was supported by the Research and Demonstration Project of Tending and Regeneration of Secondary Forests in Daxing’an Mountains (2017YFC0504103).

摘要/Abstract

摘要： 研究森林景观空间格局及其动态,对于维持森林生态系统的稳定性以及森林经营方案的制定具有重要意义.基于帽儿山实验林场1983、1993、2004和2016年共4期二类调查数据,利用Programita软件(2010版)中的O-ring统计方法对该林场的森林景观空间格局及其关联性动态进行定量分析.结果表明: 1983—2016年间,区域内软阔混交林所占面积比例均呈下降趋势,天然蒙古栎林景观所占面积比例先增加后降低,而硬阔混交林、落叶松人工林、樟子松人工林所占面积比例呈增加趋势.研究期间,软阔混交林、硬阔混交林、天然蒙古栎林的空间聚集尺度均呈减小趋势,聚集分布的范围由0～7 km缩小到0～3 km,之后随着尺度范围的增大逐渐转变为随机分布或均匀分布;落叶松人工林在较小尺度范围均表现为聚集分布,而随着尺度范围增大表现为随机分布或均匀分布,且均匀分布的尺度范围逐渐增大、随机分布的尺度范围逐渐变小;樟子松人工林聚集分布的尺度虽然也集中在小尺度范围内(0～4 km),但分布范围呈显著增大趋势.总体上,大部分景观类型之间的空间关联性在小尺度范围内呈现负关联性,随着尺度增大逐渐变为无关联性或正关联性;仅少数景观类型间(如1983年落叶松人工林与樟子松人工林)的关联性在小尺度范围内为正关联性,随着尺度范围增大逐渐变为无关联性.1983—2016年间,各景观类型之间的空间关联性动态呈现不同的变化规律,是帽儿山地区各项经营管理措施的综合体现.

Abstract: Researches on the dynamics of spatial point patterns and their associations of forest landscape has important implications for maintaining forest stability and making forest management decisions. Based on the four period datasets of forest resource inventory in Maoershan region in 1983, 1993, 2004, and 2016, the O-ring statistics within Programita software (version 2010) was used to quantitatively analyze the dynamics of spatial point patterns and associations. The results showed that the cover percentage of soft-wood broadleaved mixed forest (SBM) significantly decreased, the percentage of natural Quercus mongolica (NMO) increased in the beginning, and then became lower. The percentage of hard broadleaved mixed forest (HBM), Larix gmelinii (RLG) and Pinus sylvestris var. mongolica (RPS) plantations increased dramatically from 1983 to 2016. During the study period, the scale of clumped distribution for the SBM, HBM, NMO all significantly decreased with the increasing spatial scale. The clumped distribution ranging from 0-7 km decreased to 0-3 km, and then tended to be random or uniform distribution with the further increases of spatial scale. The patterns of RLG showed aggregated distribution within the small scale and tended to be random or uniform distribution with the increasing scale. However, the range of scale of uniform distribution increased and random distribution decreased. The patterns of RPS showed clumped distribution within small scale (0-4 km) and the range of scale tended to be larger. On the whole, the spatial association between most of the landscape types within the small scale showed negative association. With the increases of scale, these landscape types gradually become non-association or positive association. However, only a few landscape types (e.g. RLG and RPS in 1983) showed positive association in a small scale. With the increases of scale, all the relationship tended to be non-association. The dynamics of the association of forest landscapes showed different regularity. The dynamics of spatial point patterns and associations of Maoershan region were the comprehensive results of the forest management during 1983 and 2016.

孙云霞, 刘兆刚, 董灵波. 帽儿山地区1983—2016年森林景观空间点格局及其关联动态性[J]. 应用生态学报, 2018, 29(8): 2601-2614.

SUN Yun-xia, LIU Zhao-gang, DONG Ling-bo. Spatial point patterns and their association dynamics of forest landscapes in Maoershan region, Northeast China between 1983 and 2016.[J]. Chinese Journal of Applied Ecology, 2018, 29(8): 2601-2614.

参考文献

[1] Fu B-J (傅伯杰). The spatial pattern analysis of agricultural landscape in the loess area. Acta Ecologica Sinica (生态学报), 1995, 15(2): 113-120 (in Chinese)
[2] Chen L-D (陈利顶), Liu Y (刘洋), Lü Y-H (吕一河), et al. Landscape pattern analysis in landscape ecology: Current, challenges and future. Acta Ecologica Sinica (生态学报), 2008, 28(11): 5521-5531 (in Chinese)
[3] Wu J-G (邬建国). Landscape Ecology: Pattern, Process, Scale and Hierarchy. 2nd Ed. Beijing: Higher Education Press, 2000 (in Chinese)
[4] Dong L-B (董灵波), Liu Z-G (刘兆刚), Zhang B (张博), et al. Forest landscapes’ spatial point patterns and associations based on Ripley L and O-ring functions. Chinese Journal of Applied Ecology (应用生态学报), 2014, 25(12): 3429-3436 (in Chinese)
[5] Guo J-P (郭晋平), Zhang Y-X (张芸香). Advances and perspectives of forest landscape ecology in China. World Forestry Research (世界林业研究), 2003, 16(5): 46-49 (in Chinese)
[6] Dong L-B (董灵波), Liu Z-G (刘兆刚), Li F-R (李凤日). Spatial point patterns and associations of forest landscapes in Pangu Forest Farm in Daxing’an Mountains. Scientia Silvae Sinicae (林业科学), 2015, 51(7): 28-36 (in Chinese)
[7] Ripple WJ, Bradshaw GA, Spies TA. Measuring forest landscape patterns in the Cascade Range of Oregon, USA. Biological Conservation, 1991, 57: 73-88
[8] Guo J-P (郭晋平), Yang H-X (阳含熙), Xue J-J (薛俊杰), et al. Forest landscape heterogeneity and its dynamics of Guandishan Mountain. Chinese Journal of Applied Ecology (应用生态学报), 1999, 10(4): 40-44 (in Chinese)
[9] Boyden S, Binkley D, Shepperd W. Spatial and temporal patterns in structure, regeneration, and mortality of an old-growth ponderosa pine forest in the Colorado Front Range. Forest Ecology and Management, 2005, 219: 43-55
[10] Li X-Z (李秀珍), Bu R-C (布仁仓), Chang Y (常禹), et al. The response of landscape metrics against pattern scenarios. Acta Ecologica Sinica (生态学报), 2004, 24(1): 123-134 (in Chinese)
[11] Fajardo A, Goodburn JM, Graham J. Spatial patterns of regeneration in managed uneven-aged ponderosa pine/Douglas-fir forests of Western Montana, USA. Forest Ecology and Management, 2006, 223: 255-266
[12] Lydersen JM, North MP, Knapp EE, et al. Quantifying spatial patterns of tree groups and gaps in mixed-conifer forests: Reference conditions and long-term changes following fire suppression and logging. Forest Ecology and Management, 2013, 304: 370-382
[13] Andersen M. Spatial analysis of two species interactions. Oecologia, 1992, 91: 134-140
[14] Sun S-X (孙世贤), Wei Z-J (卫智军), Wu X-H (吴新宏), et al. Point pattern and spatial association of primary plant populations in the seasonal regulation of grazing intensity in desert grassland. Acta Ecologica Sinica (生态学报), 2016, 36(23): 7570-7579 (in Chinese)
[15] Guo Q-X (国庆喜), Xiao S-Y (肖少英). The influence of grain effect on the analysis of landscape pattern gradient along urban-rural transect. Journal of Northeast Forestry University (东北林业大学学报), 2004, 32(2): 49-51 (in Chinese)
[16] Gao K (高凯), Zhou Z-X (周志翔), Yang Y-P (杨玉萍), et al. Characteristics and changes of landscape pattern in Wuhan City based on Ripley’s K function. Chinese Journal of Applied Ecology (应用生态学报), 2010, 21(10): 2621-2626 (in Chinese)
[17] Feng Y-T (冯玉婷), Chang Y (常禹), Hu Y-M (胡远满), et al. Spatial point pattern analysis on forest landscapes in Huzhong of Great Xing’an Mountains, Northeast China. Chinese Journal of Ecology (生态学杂志), 2012, 31(4): 1016-1021 (in Chinese)
[18] Hu M-J (胡美娟), Hou G-L (侯国林), Zhou N-X (周年兴), et al. Spatial distribution patterns and multi-scale features of the Lushan forest landscape. Acta Ecologica Sinica (生态学报), 2015, 35(16): 5294-5305 (in Chinese)
[19] Guo Y-X (郭垚鑫), Hu Y-N (胡有宁), Li G (李刚), et al. Spatial pattern and spatial association of Betula albosinensis at different developmental stages at Taibai Mountain. Scientia Silvae Sinicae (林业科学), 2014, 50(1): 9-14 (in Chinese)
[20] Yang X-M (杨晓明), Li Y-X (李逸欣), Zhu G-P (朱国平). Spatial point patterns of Antarctic krill fishe-ry in the northern Antarctic Peninsula. Chinese Journal of Applied Ecology (应用生态学报), 2016, 27(12): 4052-4058 (in Chinese)
[21] Wiegand T, Kissling W, Cipriotti PM, et al. Extending point pattern analysis for objects of finite size and irregular shape. Journal of Ecology, 2006, 94: 825-837
[22] Wang J-L (王金亮), Huang Z-L (黄志霖), Shao J-A (邵景安), et al. Gradient distribution of belt transects and characteristics of spatial clustering of point pattern of woodland landscapes: A case study of ecological barrier zone of Three-Gorges Reservoir in Chongqing. Progress in Geography (地理科学进展), 2013, 32(2): 308-317 (in Chinese)
[23] Guo Q-L (郭屹立), Wang B (王斌), Xiang W-S (向悟生), et al. Spatial distribution of tree species in a tropical karst seasonal rainforest in Nonggang, Guangxi, southern China. Biodiversity Science (生物多样性), 2015, 23(2): 183-191 (in Chinese)
[24] Han L (韩路), Wang H-Z (王海珍), Peng J (彭杰), et al. Spatial distribution patterns and dynamics of major population in Populus euphratica forest in upper reaches of Tarim River. Acta Botanica Boreali-Occidentalia Sinica (西北植物学报), 2007, 27(8): 1668-1673 (in Chinese)
[25] Miao N (缪宁), Liu S-R (刘世荣), Shi Z-M (史作民), et al. Spatial patterns of dominant tree species in sub-alpine Betula-Abies forest in West Sichuan of China. Chinese Journal of Applied Ecology (应用生态学报), 2009, 20(4): 1263-1270 (in Chinese)
[26] Liu Z-G (刘振国), Li Z-Q (李镇清). Perspectives on small-scale spatial structure of plant species in plant communities. Acta Phytoecologica Sinica (植物生态学报), 2005, 29(5): 1020-1028 (in Chinese)
[27] Wang YC, Kronenfeld BJ, Larsen CPS. Spatial distribution of forest landscape change in western New York from resettlement to the present. Canadian Journal of Forest Research, 2009, 39: 76-88

帽儿山地区1983—2016年森林景观空间点格局及其关联动态性

Spatial point patterns and their association dynamics of forest landscapes in Maoershan region, Northeast China between 1983 and 2016.

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