留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

Ecosystem Health: Assessment Framework, Spatial Evolution, and Re-gional Optimization in Southwest China

ZHANG Hao SUN Jian DENG Wei PENG Li

ZHANG Hao, SUN Jian, DENG Wei, PENG Li. Ecosystem Health: Assessment Framework, Spatial Evolution, and Re-gional Optimization in Southwest China[J]. 中国地理科学, 2020, 30(1): 142-156. doi: 10.1007/s11769-020-1101-8
引用本文: ZHANG Hao, SUN Jian, DENG Wei, PENG Li. Ecosystem Health: Assessment Framework, Spatial Evolution, and Re-gional Optimization in Southwest China[J]. 中国地理科学, 2020, 30(1): 142-156. doi: 10.1007/s11769-020-1101-8
ZHANG Hao, SUN Jian, DENG Wei, PENG Li. Ecosystem Health: Assessment Framework, Spatial Evolution, and Re-gional Optimization in Southwest China[J]. Chinese Geographical Science, 2020, 30(1): 142-156. doi: 10.1007/s11769-020-1101-8
Citation: ZHANG Hao, SUN Jian, DENG Wei, PENG Li. Ecosystem Health: Assessment Framework, Spatial Evolution, and Re-gional Optimization in Southwest China[J]. Chinese Geographical Science, 2020, 30(1): 142-156. doi: 10.1007/s11769-020-1101-8

Ecosystem Health: Assessment Framework, Spatial Evolution, and Re-gional Optimization in Southwest China

doi: 10.1007/s11769-020-1101-8
基金项目: 

Under the auspices of Science and Technology Service Network Initiative (No. KFJ-STS-QYZD-060), Key Project of National Natural Science Foundation of China (No. 41930651)

详细信息
    通讯作者:

    DENG Wei.E-mail:dengwei@imde.ac.cn

Ecosystem Health: Assessment Framework, Spatial Evolution, and Re-gional Optimization in Southwest China

Funds: 

Under the auspices of Science and Technology Service Network Initiative (No. KFJ-STS-QYZD-060), Key Project of National Natural Science Foundation of China (No. 41930651)

  • 摘要: Regional ecological health, the core of comprehensive ecosystem assessments, is an important foundation for regional exploration, environmental conservation, and sustainable development. The mountainous areas in southwest China are backward in economy, but industrialization and urbanization have been rapid in recent years. This study assessed the ecosystem health of the Sichuan and Yunnan provinces in China using a pressure-state-response (PSR) model. Spatiotemporal patterns of regional ecosystem health were analyzed from 2000 to 2016, including overall characteristics as well as local characteristics. Ecosystem health in most regions was improved over time (Y=0.0058X-11.0132, R2=0.95, P<0.001), and areas with poorer ecosystem health decreased from half to one-third of the total area. Analysis of the primacy ratio and the variation coefficient confirmed that the gap in health scores between regions has gradually expanded since 2007, but there are more high quality regions overall (Z of Moran's index <1.96, P>0.05). Overall, the regional ecosystems to the east of the Hu line-an imaginary line dividing east and west China into roughly equivalent parts-were healthier than those to the west. The pressure and state scores of ecosystems were determined by physiographic condition, and the response scores by government policies and social concern. The spatiotemporal patterns of ecosystem health were dominated to a greater extent by natural than anthropogenic factors, which explains why the shift in the patterns aligned with the direction of the Hu line. Dividing regions into key management areas based on natural geographical conditions and socioeconomic development could contribute to the formulation of a reasonable ecological and environmental protection policy, guaranteeing ecosystem services in the long run.
  • [1] Sichuan Provincial Bureau of Statistics, 2000-2016. Sichuan Statistical Yearbook. Beijing:China Statistics Press.
    [2] National Bureau of Statistics, 2001-2014. China Statistical Year-book for Regional Economy. Beijing:China Statistics Press.
    [3] National Bureau of Statistics, 2015-2017. China Statistical Year-books at a County Level. Beijing:China Statistics Press.
    [4] Yunnan Provincial Bureau of Statistics 2000-2016. Yunnan Sta-tistical Yearbook. Beijing:China Statistics Press.
    [5] Bai X R, Tang J C, 2010. Ecological security assessment of Tianjin by PSR model. Procedia Environmental Sciences, 2:881-887. doi: 10.1016/j.proenv.2010.10.099
    [6] Burkhard B, Müller F, 2008. Drivers-pressure-state-impact-response. In:Jørgensen S E and Fath B D (eds). Encyclopedia of Ecology. Oxford:Elsevier.
    [7] Chen Mingxing, Li Yang, Gong Yinghua et al., 2016. The popula-tion distribution and trend of urbanization pattern on two sides of Hu Huanyong population line:a tentative response to Premier Li Keqiang. Acta Geographica Sinica, 71(2):179-193. (in Chinese)
    [8] Colin N, Porte C, Fernandes D et al., 2016. Ecological relevance of biomarkers in monitoring studies of macro-invertebrates and fish in Mediterranean rivers. Science of the Total Environment, 540:307-323. doi: 10.1016/j.scitotenv.2015.06.099
    [9] Costanza R, 2012. Ecosystem health and ecological engineering. Ecological Engineering, 45:24-29. doi:10.1016/j.ecoleng. 2012.03.023
    [10] DeFries R S, Foley J A, Asner G P, 2004. Land-use choices:bal-ancing human needs and ecosystem function. Frontiers in Ecology and the Environment, 2(5):249-257. doi: 10.1890/1540-9295(2004)002[0249:lcbhna]2.0.co;2
    [11] Deng Mouyou, Zhang Dongyun, 2010. Variance analysis of re-gional economy of sichuan based on Gini coefficient method. Journal of Neijiang Normal University, 25(8):73-76, 111. (in Chinese)
    [12] Deng X Z, Bai X M, 2014. Sustainable Urbanization in Western China. Environment:Science and Policy for Sustainable De-velopment, 56(3):12-24. doi: 10.1080/00139157.2014.901836
    [13] Fang Yelin, Huang Zhenfang, Chen Wendi et al., 2013. Spatial evolution of county economy in Anhui Province during 2001-2010. Progress in Geography, 32(5):831-839. (in Chi-nese)
    [14] Getis A, Ord J K, 1992. The analysis of spatial association by use of distance statistics. Geographical Analysis, 24(3):189-206. doi: 10.1111/j.1538-4632.1992.tb00261.x
    [15] Hong B, Limburg K E, Erickson J D et al., 2009. Connecting the ecological-economic dots in human-dominated watersheds:models to link socio-economic activities on the landscape to stream ecosystem health. Landscape and Urban Planning, 91(2):78-87. doi: 10.1016/j.landurbplan.2008.11.012
    [16] Hong Huikun, Liao Heping, Wei Chaofu et al., 2015. Health as-sessment of a land use system used in the ecologically sensitive area of the Three Gorges reservoir area, based on the improved TOPSIS Method. Acta Ecologica Sinica, 35(24):8016-8027. (in Chinese)
    [17] Hu Huanyong, 1935. The distribution of population in China, with statistics and maps. Acta Geographica Sinica, 2(2):33-74. (in Chinese)
    [18] Jin Cheng, Xu Jing, Lu Yuqi, 2007. Study on disparity of tourism scale for cities in Yangtze-Delta and construction for the system of rank-size distribution. Economic Geography, 27(4):676-680. (in Chinese)
    [19] Jin Yue, Lu Zhaohua, Tan Feifei et al., 2015. Assessment of eco-logical carrying capacity on the typical resources-based cities:a case study of Tangshan city. Acta Ecologica Sinica, 35(14):4852-4859. (in Chinese)
    [20] Kalnay E, Cai M, 2003. Impact of urbanization and land-use change on climate. Nature, 423(6939):528-531. doi: 10.1038/nature01675
    [21] Lackey R T, 2001. Values, policy, and ecosystem health:options for resolving the many ecological policy issues we face depend on the concept of ecosystem health, but ecosystem health is based on controversial, value-based assumptions that mas-querade as science. BioScience, 51(6):437-443. doi: 10.1641/0006-3568(2001)051[0437:VPAEH]2.0.CO;2
    [22] Li Shuancheng, Zhao Zhiqiang, Wang Yanglin, 2009. Urbanization process and effects of natural resource and environment in China:research trends and future directions. Progress in Ge-ography, 28(1):63-70. (in Chinese)
    [23] Liang P, Du L M, Yue G J, 2010. Ecological security assessment of Beijing based on PSR model. Procedia Environmental Sci-ences, 2:832-841. doi: 10.1016/j.proenv.2010.10.094
    [24] Liu Yang, 2010. Study on the Agricultural Water and Land Car-rying Capacity in Sichuan Province. Beijing:Chinese Academy of Agricultural Sciences.
    [25] Liu Y X, Peng J, Zhang T et al., 2016. Assessing landscape eco-risk associated with hilly construction land exploitation in the southwest of China:trade-off and adaptation. Ecological Indicators, 62:289-297. doi: 10.1016/j.ecolind.2015.11.006
    [26] Lu Dadao, Wang Zheng, Feng Zhiming et al., 2016. Academic debates on Hu Huanyong population line. Geographical Re-search, 35(5):805-824. (in Chinese)
    [27] Ma Keming, Kong Hongmei, Guan Wenbin et al., 2001. Ecosystem health assessment:methods and directions. Acta Ecologica Sinica, 21(12):2106-2116. (in Chinese)
    [28] Manzoor S A, Malik A, Zubair M et al., 2019. Linking social perception and provision of ecosystem services in a sprawling urban landscape:a case study of Multan, Pakistan. Sustaina-bility, 11(3):654. doi: 10.3390/su11030654
    [29] Nainggolan D, Termansen M, Reed M S et al., 2013. Farmer ty-pology, future scenarios and the implications for ecosystem service provision:a case study from south-eastern Spain. Re-gional Environmental Change, 13(3):601-614. doi: 10.1007/s10113-011-0261-6
    [30] Odum E P, Finn J T, Franz E H, 1979. Perturbation theory and the subsidy-stress gradient. BioScience, 29(6):349-352. doi: 10.2307/1307690
    [31] Ogden J C, Baldwin J D, Bass O L et al., 2014. Waterbirds as indicators of ecosystem health in the coastal marine habitats of southern Florida:1. Selection and justification for a suite of indicator species. Ecological Indicators, 44:148-163. doi: 10.1016/j.ecolind.2014.03.007
    [32] Olson D M, Dinerstein E, 2002. The global 200:priority ecore-gions for global conservation. Annals of the Missouri Botanical Garden, 89(2):199-224. doi: 10.2307/3298564
    [33] Palmer M A, Febria C M, 2012. The heartbeat of ecosystems. Science, 336(6087):1393-1394. doi: 10.1126/science.1223250
    [34] Pan Tao, Wu Shaohong, He Daming et al., 2012. Ecological effects of longitudinal range-gorge land surface pattern and its regional differentiation. Acta Geographica Sinica, 67(1):13-26. (in Chinese)
    [35] Peng J, Wu J S, Yin H et al., 2008. Rural land use change during 1986-2002 in Lijiang, China, based on remote sensing and GIS data. Sensors, 8(12):8201-8223. doi: 10.3390/s8128201
    [36] Peng J, Liu Y X, Wu J S et al., 2015. Linking ecosystem services and landscape patterns to assess urban ecosystem health:a case study in Shenzhen city, China. Landscape and Urban Planning, 143:56-68. doi: 10.1016/j.landurbplan.2015.06.007
    [37] Peng J, Ma J, Du Y Y et al., 2016. Ecological suitability evaluation for mountainous area development based on conceptual model of landscape structure, function, and dynamics. Ecological Indicators, 61:500-511. doi:10.1016/j.ecolind.2015. 10.002
    [38] Peng J, Liu Y X, Li T Y et al., 2017. Regional ecosystem health response to rural land use change:a case study in Lijiang City, China. Ecological Indicators, 72:399-410. doi: 10.1016/j.ecolind.2016.08.024
    [39] Peng L, Deng W, Zhang H et al., 2019. Focus on economy or ecology? A three-dimensional trade-off based on ecological carrying capacity in Southwest China. Natural Resource Mod-eling, 32(2):e12201. doi: 10.1111/nrm.12201
    [40] Rapport D J, Regier H A, Hutchinson T C, 1985. Ecosystem be-havior under stress. The American Naturalist, 125(5):617-640.
    [41] Rapport D J, 1995. Ecosystem health:exploring the territory. Ecosystem Health, 1(1):5-13.
    [42] Rapport D J, Maffi L, 2011. Eco-cultural health, global health, and sustainability. Ecological Research, 26(6):1039-1049. doi: 10.1007/s11284-010-0703-5
    [43] Su M R, Yang Z F, Chen B et al., 2009. Urban ecosystem health assessment based on emergy and set pair analysis-a compar-ative study of typical Chinese cities. Ecological Modelling, 220(18):2341-2348. doi: 10.1016/j.ecolmodel.2009.06.010
    [44] Su S L, Zhang Z H, Xiao R et al., 2012. Geospatial assessment of agroecosystem health:development of an integrated index based on catastrophe theory. Stochastic Environmental Research and Risk Assessment, 26(3):321-334. doi: 10.1007/s00477-011-0551-z
    [45] Sun T T, Lin W P, Chen G S et al., 2016. Wetland ecosystem health assessment through integrating remote sensing and inventory data with an assessment model for the Hangzhou Bay, China. Science of the Total Environment, 566-567:627-640. doi: 10.1016/j.scitotenv.2016.05.028
    [46] Tang W, Zhou T C, Sun J et al., 2017. Accelerated urban expansion in lhasa city and the implications for sustainable development in a Plateau city. Sustainability, 9(9):1499. doi: 10.3390/su9091499
    [47] Tien H Y, 1981. Demography in China:from zero to now. Popu-lation Index, 47(4):683-710. doi: 10.2307/2736034
    [48] Torres R, Gasparri N I, Blendinger P G et al., 2014. Land-use and land-cover effects on regional biodiversity distribution in a subtropical dry forest:a hierarchical integrative multi-taxa study. Regional Environmental Change, 14(4):1549-1561. doi: 10.1007/s10113-014-0604-1
    [49] Van Niekerk L, Adams J B, Bate G C et al., 2013. Country-wide assessment of estuary health:an approach for integrating pressures and ecosystem response in a data limited environ-ment. Estuarine, Coastal and Shelf Science, 130:239-251. doi: 10.1016/j.ecss.2013.05.006
    [50] Vitousek P M, Mooney H A, Lubchenco J et al., 1997. Human domination of Earth's ecosystems. Science, 277(5325):494-499. doi: 10.1126/science.277.5325.494
    [51] Wang Qiang, Wu Shidai, Li Yongshi et al., 2009. The application of major function oriented zoning in Fujian Province. Acta Geographica Sinica, 64(6):725-735. (in Chinese)
    [52] Wang Z Y, Tang L N, Qiu Q Y et al., 2018. Assessment of regional ecosystem health-a case study of the golden triangle of southern Fujian Province, China. International Journal of Environmental Research and Public Health, 15(4):802. doi: 10.3390/ijerph15040802
    [53] Xiao Fengjin, Ouyang Hua, Sun Jianghua et al., 2004. Forest ecosystem health assessment indicators and methods. Forest Resources Management, (1):27-30. (in Chinese)
    [54] Xin D, 2012. Post-disaster Recovery Planning and Sustainable Development-A Lesson from the Wenchuan Earthquake, China, 2008. Urbana:University of Illinois at Ur-bana-Champaign.
    [55] Xiong J N, Sun M, Zhang H et al., 2019. Application of the Levenburg-Marquardt back propagation neural network approach for landslide risk assessments. Natural Haz-ards and Earth System Sciences, 19(3):629-653.
    [56] Xiong J N, Ye C C, Cheng W M et al., 2019. The spatiotemporal distribution of flash floods and analysis of partition driving forces in Yunnan Province. Sustainability, 11(10):2926. doi: 10.3390/su11102926
    [57] Xu F L, Lam K C, Zhao Z Y et al., 2004. Marine coastal ecosystem health assessment:a case study of the Tolo Harbour, Hong Kong, China. Ecological Modelling, 173(4):355-370. doi: 10.1016/j.ecolmodel.2003.07.010
    [58] Yan Yan, Zhao Chunli, Wang Chenxing et al., 2016. Ecosystem health assessment of the Liao River Basin upstream region based on ecosystem services. Acta Ecologica Sinica, 36(4):294-300. doi: 10.1016/j.chnaes.2016.06.005
    [59] Yang Qingyuan, 2003. A study on the issue of land consolidation and eco-security in hilly and mountainous regions of Southwest China. Geographical Research, 22(6):698-708. (in Chinese)
    [60] Yang J S, Zhang H W, Zhang X H, 2010. A case study of regional ecosystem health assessment based on PSR model. Proceedings of 2010 International Conference on System Science and Engineering. Taipei, China:IEEE. doi:10.1109/ICSSE.2010. 5551805
    [61] Yang S E, Wu B F, 2010. Calculation of monthly precipitation anomaly percentage using web-serviced remote sensing data. Proceedings of the 2nd International Conference on Advanced Computer Control. Shenyang, China:IEEE. doi: 10.1109/ICACC.2010.5486796
    [62] Ye H, Ma Y, Dong L M, 2011. Land ecological security assess-ment for Bai Autonomous Prefecture of Dali based using PSR model-with data in 2009 as case. Energy Procedia, 5:2172-2177. doi: 10.1016/j.egypro.2011.03.375
    [63] Yu G M, Yu Q W, Hu L M et al., 2013. Ecosystem health assess-ment based on analysis of a land use database. Applied Geog-raphy, 44:154-164. doi: 10.1016/j.apgeog.2013.07.010
    [64] Zhang H, Sun J, Xiong J N, 2017. Spatial-temporal patterns and controls of evapotranspiration across the Tibetan Plateau (2000-2012). Advances in Meteorology, 2017:7082606. doi: 10.1155/2017/7082606
    [65] Zhang Liqian, Cai Jianming, 2010. Urbanization development characteristics and its path selection process in fragile ecological environment. Ecology and Environmental Sciences, 19(11):2764-2772. (in Chinese)
    [66] Zhou Liang, Zhou Chenghu, Yang Fan et al., 2017. Spa-tio-temporal evolution and the influencing factors of PM2.5 in China between 2000 and 2011. Acta Geographica Sinica, 72(11):2079-2092. (in Chinese)
  • [1] Bin WANG, Chunguang HU, Yushuo ZHANG.  Multi-scenario Simulation of the Impact of Land Use Change on the Ecosystem Service Value in the Suzhou-Wuxi-Changzhou Metropolitan Area, China . Chinese Geographical Science, 2024, 34(1): 79-92. doi: 10.1007/s11769-023-1397-2
    [2] Feifei LIN, Peng CHENG, Xuesong KONG.  Spatiotemporal Interaction Between Rural Settlements and Cultivated Land in Karst Mountainous Area, China . Chinese Geographical Science, 2023, 33(5): 946-965. doi: 10.1007/s11769-023-1373-x
    [3] Rong WANG, Xueyan ZHAO.  Can Multiple Livelihood Interventions Improve Livelihood Resilience of Out-of-poverty Farmers in Mountain Areas? A Case Study of Longnan Mountain Area, China . Chinese Geographical Science, 2023, 33(5): 898-916. doi: 10.1007/s11769-023-1384-7
    [4] Lin FANG, Yanxiao LIU, Canfeng LI, Jun CAI.  Spatiotemporal Characteristics and Future Scenario Simulation of the Trade-offs and Synergies of Mountain Ecosystem Services: A Case Study of the Dabie Mountains Area, China . Chinese Geographical Science, 2023, 33(1): 144-160. doi: 10.1007/s11769-023-1330-8
    [5] Yi LI, Bin FANG, Yurui LI, Weilun FENG, Xu YIN.  Spatiotemporal Pattern of Cultivated Land Pressure and Its Influencing Factors in the Huaihai Economic Zone, China . Chinese Geographical Science, 2023, 33(2): 287-303. doi: 10.1007/s11769-023-1334-4
    [6] Wenpeng DU, Huimin YAN, Zhiming FENG, Chao ZHANG, Yanzhao YANG.  Spatio-temporal Pattern of Ecosystem Pressure in Countries Along the Belt and Road: Combining Remote Sensing Data and Statistical Data . Chinese Geographical Science, 2022, 32(5): 745-758. doi: 10.1007/s11769-022-1298-9
    [7] Jie GONG, Jinxi ZHANG, Yunxia ZHANG, Yuehua ZHU, Tiantian JIN, Caixian XU.  Do Forest Landscape Pattern Planning and Optimization Play a Role in Enhancing Soil Conservation Services in Mountain Areas of Western China? . Chinese Geographical Science, 2021, 31(5): 848-866. doi: 10.1007/s11769-021-1230-8
    [8] Jiawei WANG, Shilin YE, Xinhua QI.  Regional Equity and Influencing Factor of Social Assistance in China . Chinese Geographical Science, 2021, 31(4): 611-628. doi: 10.1007/s11769-021-1195-7
    [9] Chao YANG, Huizeng LIU, Qingquan LI, Aihong CUI, Rongling XIA, Tiezhu SHI, Jie ZHANG, Wenxiu GAO, Xiang ZHOU, Guofeng WU.  Rapid Urbanization Induced Extensive Forest Loss to Urban Land in the Guangdong-Hong Kong-Macao Greater Bay Area, China . Chinese Geographical Science, 2021, 31(1): 93-108. doi: 10.1007/s11769-021-1177-9
    [10] WANG Xiaofeng, ZHANG Xinrong, FENG Xiaoming, LIU Shirong, YIN Lichang, CHEN Yongzhe.  Trade-offs and Synergies of Ecosystem Services in Karst Area of China Driven by Grain-for-Green Program . Chinese Geographical Science, 2020, 30(1): 101-114. doi: 10.1007/s11769-020-1098-z
    [11] ZHOU Yangming, DOU Yuehan, YU Xiubo, ZHANG Li, HUANG Chong, WANG Yuyu, LI Xiaowei, LI He, JIA Yifei, BAKKER Martha, CARSJENS Gerrit Jan, ZHOU Yan, DUAN Houlang.  Examining Health of Wetlands with Multiple Ecosystem Services as Targets in China’s Coastal Regions . Chinese Geographical Science, 2020, 30(4): 600-613. doi: 10.1007/s11769-020-1137-9
    [12] WU Zongfan, ZHANG Lihua, LIU Dandan, ZHANG Kang, ZHU Zhiru, FU Yasheng, MA Yongming.  Simulation of Evapotranspiration Based on BEPS-TerrainLab V2.0 from 1990 to 2018 in the Dajiuhu Basin . Chinese Geographical Science, 2020, 30(6): 1095-1110. doi: 10.1007/s11769-020-1160-x
    [13] LIU Xiaopeng, CHEN Xiao, HUA Kaiping, WANG Yajuan, WANG Peng, HAN Xiaojia, YE Junyan, WEN Shengqiang.  Effects of Land Use Change on Ecosystem Services in Arid Area Eco-logical Migration . Chinese Geographical Science, 2018, 28(5): 894-906. doi: 10.1007/s11769-018-0971-5
    [14] DI Qianbin, ZHENG Jinhua, YU Zhe.  Measuring Chinese Marine Environmental Efficiency: A Spatiotemporal Pattern Analysis . Chinese Geographical Science, 2018, 28(5): 823-835. doi: 10.1007/s11769-018-0993-z
    [15] CHEN Tiantian, PENG Li, LIU Shaoquan, WANG Qiang.  Spatio-temporal Pattern of Net Primary Productivity in Hengduan Mountains area, China:Impacts of Climate Change and Human Activities . Chinese Geographical Science, 2017, 27(6): 948-962. doi: 10.1007/s11769-017-0895-5
    [16] Leszek SOBKOWIAK, LIU Changming.  Comparative Mountain Hydrology: A Case Study of Wis?ok River in Poland and Chaohe River in China . Chinese Geographical Science, 2015, 25(1): 1-12. doi: 10.1007/s11769-014-0673-6
    [17] TANG Long, DANG Xiaohu, LIU Guobin, SHAO Chuanke, XUE Sha.  Response of Artificial Grassland Carbon Stock to Management in Mountain Region of Southern Ningxia, China . Chinese Geographical Science, 2014, 0(4): 436-443. doi: 10.1007/s11769-014-0705-2
    [18] ZHANG Mingyang, WANG Kelin, LIU Huiyu, ZHANG Chunhua.  Responses of Spatial-temporal Variation of Karst Ecosystem Service Values to Landscape Pattern in Northwest of Guangxi, China . Chinese Geographical Science, 2011, 21(4): 446-453.
    [19] YUAN Wen, YANG Kai.  A Method of catchments health assessment under value-pressure model and its application in urbanized river network area –an example of Shanghai, China? . Chinese Geographical Science, 2011, 21(1): 102-109.
    [20] MO Minghao, WANG Xuelei, WU Houjian, CAI Shuming, Xiaoyang ZHANG, WANG Huiliang.  Ecosystem Health Assessment of Honghu Lake Wetland of China Using Artificial Neural Network Approach . Chinese Geographical Science, 2009, 19(4): 349-356. doi: 10.1007/s11769-009-0349-9
  • 加载中
计量
  • 文章访问数:  445
  • HTML全文浏览量:  52
  • PDF下载量:  82
  • 被引次数: 0
出版历程
  • 收稿日期:  2018-12-06
  • 修回日期:  2019-04-04

Ecosystem Health: Assessment Framework, Spatial Evolution, and Re-gional Optimization in Southwest China

doi: 10.1007/s11769-020-1101-8
    基金项目:

    Under the auspices of Science and Technology Service Network Initiative (No. KFJ-STS-QYZD-060), Key Project of National Natural Science Foundation of China (No. 41930651)

    通讯作者: DENG Wei.E-mail:dengwei@imde.ac.cn

摘要: Regional ecological health, the core of comprehensive ecosystem assessments, is an important foundation for regional exploration, environmental conservation, and sustainable development. The mountainous areas in southwest China are backward in economy, but industrialization and urbanization have been rapid in recent years. This study assessed the ecosystem health of the Sichuan and Yunnan provinces in China using a pressure-state-response (PSR) model. Spatiotemporal patterns of regional ecosystem health were analyzed from 2000 to 2016, including overall characteristics as well as local characteristics. Ecosystem health in most regions was improved over time (Y=0.0058X-11.0132, R2=0.95, P<0.001), and areas with poorer ecosystem health decreased from half to one-third of the total area. Analysis of the primacy ratio and the variation coefficient confirmed that the gap in health scores between regions has gradually expanded since 2007, but there are more high quality regions overall (Z of Moran's index <1.96, P>0.05). Overall, the regional ecosystems to the east of the Hu line-an imaginary line dividing east and west China into roughly equivalent parts-were healthier than those to the west. The pressure and state scores of ecosystems were determined by physiographic condition, and the response scores by government policies and social concern. The spatiotemporal patterns of ecosystem health were dominated to a greater extent by natural than anthropogenic factors, which explains why the shift in the patterns aligned with the direction of the Hu line. Dividing regions into key management areas based on natural geographical conditions and socioeconomic development could contribute to the formulation of a reasonable ecological and environmental protection policy, guaranteeing ecosystem services in the long run.

English Abstract

ZHANG Hao, SUN Jian, DENG Wei, PENG Li. Ecosystem Health: Assessment Framework, Spatial Evolution, and Re-gional Optimization in Southwest China[J]. 中国地理科学, 2020, 30(1): 142-156. doi: 10.1007/s11769-020-1101-8
引用本文: ZHANG Hao, SUN Jian, DENG Wei, PENG Li. Ecosystem Health: Assessment Framework, Spatial Evolution, and Re-gional Optimization in Southwest China[J]. 中国地理科学, 2020, 30(1): 142-156. doi: 10.1007/s11769-020-1101-8
ZHANG Hao, SUN Jian, DENG Wei, PENG Li. Ecosystem Health: Assessment Framework, Spatial Evolution, and Re-gional Optimization in Southwest China[J]. Chinese Geographical Science, 2020, 30(1): 142-156. doi: 10.1007/s11769-020-1101-8
Citation: ZHANG Hao, SUN Jian, DENG Wei, PENG Li. Ecosystem Health: Assessment Framework, Spatial Evolution, and Re-gional Optimization in Southwest China[J]. Chinese Geographical Science, 2020, 30(1): 142-156. doi: 10.1007/s11769-020-1101-8
参考文献 (66)

目录

    /

    返回文章
    返回