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Remote Sensing for Land & Resources    2020, Vol. 32 Issue (2) : 251-258     DOI: 10.6046/gtzyyg.2020.02.32
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Spatial-temporal dynamics of ecosystem health in Sichuan Province based on PSR model
Zhouyang XU
School of Civil Engineering and Architecture, Southwest Petroleum University, Chengdu 610500,China
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Abstract  

A great many ecological and environmental problems have been caused in the course of rapid economic development and urbanization in Sichuan Province. Evaluating ecosystem health condition is of significant importance for regional sustainable development. Based on relevant city-level data in social, economic, agricultural and ecological aspects from 2000 to 2016 as well as county-level data obtained through the downscaling model, the authors built the pressure-status-response model to make comprehensive evaluation and analysis of ecosystem health of studied regions in Sichuan Province on city-level and county-level scales. The results show that the overall score of ecosystem health in Sichuan increased from 0.610 to 0.687 in 2000—2016, but the spatial distribution shows that the eastern part of Sichuan was better than the western part. The development between studied regions is extremely unbalanced. Chengdu had outstanding advantages in comparison other regions. The results of ecosystem health assessment in each county shows that 27.9% of the total counties are “unhealthy” and “sick”, while about half of the counties are above the “normal” level. The counties whose evaluation results are “sick” are mainly concentrated in Garze and Aba prefectures. The ecological health status in northwest Sichuan deserves much more attention.

Keywords ecosystem health      pressure      state      response      Sichuan Province     
:  TP79  
Issue Date: 18 June 2020
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Zhouyang XU
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Zhouyang XU. Spatial-temporal dynamics of ecosystem health in Sichuan Province based on PSR model[J]. Remote Sensing for Land & Resources, 2020, 32(2): 251-258.
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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2020.02.32     OR     https://www.gtzyyg.com/EN/Y2020/V32/I2/251
Fig.1  Location of the study area
一级指标 二级指标 三级指标 权重
压力 自然 气温距平 0.065
降雨距平 0.094
农业 农作物播种面积 0.263
化肥施用量 0.138
人口 人口密度 0.216
人口自然增长率 0.223
状态 经济 人均国内生产总值(gross domestic product,GDP) 0.197
农民人均纯收入 0.224
农业 单位面积粮食产量 0.183
单位面积粮食产量 0.232
生态 NDVI 0.163
响应 农业 农业机械总动力 0.222
有效灌溉面积 0.179
社会 公路总里程 0.174
第三产业占比 0.085
人均地方财政一般预算支出 0.168
人均全社会固定资产投资 0.171
Tab.1  Ecosystem health assessment indicators
指标 拟合方程 决定系数R2
农业机械总动力 y = 0.787x+5.250 0.82
农林牧渔总产值 y = 0.989x+0.349 0.98
Tab.2  Fitting results between calculated data and original data
Fig.2  Ecosystem health in Sichuan Province from 2000 to 2016
Fig.3  Change of ecosystem primacy and coefficient of variation
Fig.4  City ecosystem health assessment pressure, state and response scores in Sichuan Province
Fig.5  Ecosystem health status of Sichuan municipal level in 2000 and 2016
Fig.6  Standard deviation ellipse and center of gravity distribution of ecosystem health
Fig.7  Scores of pressure, state and response of county-level ecosystem
Fig.8  Ecosystem health status at county level
[1] Wang Z, Tang L, Qiu Q, et al. Assessment of regional ecosystem health——A case study of the golden triangle of southern Fujian Province,China[J]. International Journal of Environmental Research and Public Health, 2018,15(4):802.
[2] 孙燕, 周杨明, 张秋文, 等. 生态系统健康:理论/概念与评价方法[J]. 地球科学进展, 2011,26(8):887-896.
[2] Sun Y, Zhou Y M, Zhang Q W, et al. Ecosystem health:Theory/concept and evaluation method[J]. Progress in Geosciences, 2011,26(8):887-896.
[3] Zhang F, Zhang J, Wu R, et al. Ecosystem health assessment based on DPSIRM framework and health distance model in Nansi Lake,China[J]. Stochastic Environmental Research and Risk Assessment, 2016,30(4):1235-1247.
[4] Rapport D J. What constitutes ecosystem health?[J]. Perspectives in Biology and Medicine, 2015,33(1):120-132.
doi: 10.1353/pbm.1990.0004 url: http://muse.jhu.edu/content/crossref/journals/perspectives_in_biology_and_medicine/v033/33.1.rapport.html
[5] Zhang J Y, Wang L C. Assessment of water resource security in Chongqing City of China:What has been done and what remains to be done?[J]. Natural Hazards, 2015,75(3):2751-2772.
[6] Jia H C, Cao C X, Ma G R, et al. Assessment of wetland ecosystem health in the source region of Yangtze,Yellow and Yalu Tsangpo Rivers of Qinghai Province[J]. Wetland Science, 2011,9(3):209-217.
url: http://wetlands.neigae.ac.cn//CN/abstract/abstract8855.shtml
[7] Jϕrgensen S E, Constanza R, Xu F L.Handbook of Ecological Indicators for Assessment of Ecosystem Health[M]. London: CRC Press, 2005.
[8] Xu F L, Lam K C, Chen Y Q, et al. Restorating marine coastal ecosystem health as a new goad for integrated catchment management in Tolo Harbour,Hong Kong,China[J]. Chinese Journal of Population Resources and Environment, 2004,2(2):11-19.
[9] Su S, Zhang Z, Xiao R, et al. Geospatial assessment of agroecosystem health:Development of an integrated index based on catastrophe theory[J]. Stochastic Environmental Research and Risk Assessment, 2012,26(3):321-334.
[10] Murray C N, Avogadro A. Effect of a long-term release of plutonium and americium into an estuarine-coastal sea ecosystem-I.Development of an assessment methodology[J]. Health Physics, 1979,36(5):573-585.
[11] Spiegel J M, Bonet M, Yassi A, et al. Developing ecosystem health indicators in Centro Habana:A community-based approach[J]. 2001,7(1):15-26.
[12] 江香梅, 周敏荣, 李田, 等. 鄱阳湖退化湿地生态系统恢复策略初探[J].江西林业科技, 2009(6):50-53.
[12] Jang X M, Zhou M R, Li T, et al. Recovery strategies of degradation wetland ecosystem in Poyang Lake[J].South China Forestry Science, 2009(6):50-53.
[13] 易武英, 苏维词. 基于RS和GIS的乌江流域生态安全度变化评价[J]. 中国岩溶, 2014,33(3):308-318.
[13] Yi W Y, Su W C. Evaluation of ecological security in the Wujiang River basin using remote sensing and GIS technologies[J]. Carsologica Sinica, 2014,33(3):308-318.
[14] 汪阳, 钱汪洋, 朱琳. 基于GIS的洪泽湖湖泊生态系统健康分区评价[J]. 水资源与水工程学报, 2011,22(4):124-127.
[14] Wang Y, Qian W Y, Zhu L. Zoning assessment of ecosystem health based on GIS in Hongze Lake[J]. Journal of Water Resources and Water Engineering, 2011,22(4):124-127.
[15] 陈鹏. 基于遥感和GIS的景观尺度的区域生态健康评价——以海湾城市新区为例[J].环境科学学报, 2007(10):1744-1752.
url: http://www.actasc.cn/hjkxxb/ch/reader/view_abstract.aspx?file_no=20060925001&flag=1
[15] Chen P. Ecological health assessment at the landscape scale based on RS and GIS:A case study from the new district of a bay-type city[J].Acta Scientiae Circumstantiae, 2007(10):1744-1752.
url: http://www.actasc.cn/hjkxxb/ch/reader/view_abstract.aspx?file_no=20060925001&flag=1
[16] Maga$\bar{n}$a P, López-Ruiz,Lira A, et al. A public, open Western Europe database of shoreline undulations based on imagery[J]. Applied Geography, 2014,55:278-291.
[17] Frashure K M, Bowen R E, Chen R F. An integrative management protocol for connecting human priorities with ecosystem health in the Neponset River Estuary[J].Ocean and Coastal Management, 2012(69):255-264.
[18] Dereynier Y L, Levin P S, Shoji N L. Bringing stakeholders,scientists,and managers together through an integrated ecosystem assessment process[J]. Marine Policy, 2010,34(3):534-540.
doi: 10.1016/j.marpol.2009.10.010 url: https://linkinghub.elsevier.com/retrieve/pii/S0308597X09001729
[19] Pirrone N, Trombino G, Cinnirella S, et al. The driver-pressure-state-impact-response (DPSIR) approach for integrated catchment-coastal zone management:Preliminary application to the Po catchment-Adriatic Sea coastal zone system[J]. Regional Environmental Change, 2005,5(2-3):111-137.
doi: 10.1007/s10113-004-0092-9 url: http://link.springer.com/10.1007/s10113-004-0092-9
[20] Liang P, Du L, Yue G. Ecological security assessment of Beijing based on PSR model[J]. Procedia Environmental Sciences, 2010,2(2):832-841.
doi: 10.1016/j.proenv.2010.10.094 url: https://linkinghub.elsevier.com/retrieve/pii/S1878029610001271
[21] Ye H, Ma Y, Dong L. Land ecological security assessment for Bai Autonomous Prefecture of Dali based using PSR model-with data in 2009 as case[J]. Energy Procedia, 2011,5(22):2172-2177.
doi: 10.1016/j.egypro.2011.03.375 url: https://linkinghub.elsevier.com/retrieve/pii/S1876610211013117
[22] 史永亮, 杨东峰, 王如松, 等. 基于PSR模型的大丰市城市生态系统健康综合评价[J].环境科学与技术, 2008(2):120-123.
url: http://d.wanfangdata.com.cn/Periodical_hjkxyjs200802032.aspx
[22] Shi Y L, Yang D F, Wang R S, et al. Ecosystem health assessment based on PSR model:A case study of Dafeng City in Jiangsu Province[J].Environmental Science and Technology, 2008(2):120-123.
[23] Jin Y, Lu Z, Tan F, et al. Assessment of ecological carrying capacity on the typical resources-based cities:A case study of Tangshan City[J]. Acta Ecologica Sinica, 2015,35(14).
[24] 贾艳红, 赵军, 南忠仁, 等. 熵权法在草原生态安全评价研究中的应用——以甘肃牧区为例[J]. 干旱区资源与环境, 2007,21(1):17-21.
[24] Jan Y H, Zhao J, Nan Z R, et al. The application of entropy-right method to the study of ecological security evaluation of grassland:A case study at the ecological security evaluation of grassland to pastoral area of Gansu[J]. Journal of Arid Land Resources and Environment, 2007,21(1):17-21.
[25] Mayor M, López A J. Spatial shift-share analysis versus spatial filtering:An application to Spanish employment data[J]. Empirical Economics, 2008,34(1):123-142.
doi: 10.1007/s00181-007-0167-9 url: http://www.springerlink.com/content/w488r07876u78627/
[26] 方叶林, 黄震方, 陈文娣. 2001—2010年安徽省县域经济空间演化[J]. 地理科学进展, 2013,32(5):831-839.
doi: 10.11820/dlkxjz.2013.05.014 url: http://www.dlkxjz.com.cn/CN/abstract/abstract10981.shtml
[26] Fang L Y, Huang Z F, Chen W D. Spatial evolution of county economy in Anhui Province during 2001—2010[J]. Progress in Geography, 2013,32(5):831-839.
doi: 10.11820/dlkxjz.2013.05.014 url: http://www.dlkxjz.com.cn/CN/abstract/abstract10981.shtml
[27] Zhou L, Zhou C, Yang F, et al. Spatio-temporal evolution and the influencing factors of PM_(2.5) in China between 2000 and 2011[J]. Acta Geographica Sinica, 2017,72(11):2079-2092.
doi: 10.11821/dlxb201711012 url: http://www.geog.com.cn/CN/abstract/abstract39701.shtml
[28] 侯光雷, 张洪岩, 郭聃, 等. 长白山区植被生长季NDVI时空变化及其对气候因子敏感性[J]. 地理科学进展, 2012,31(3):285-292.
doi: 10.11820/dlkxjz.2012.03.003 url: http://www.dlkxjz.com.cn/CN/abstract/abstract10730.shtml
[28] Hou G L, Zhang H Y, Guo D, et al. Spatial-temporal variation of NDVI in the growing season and its sensitivity to climatic factors in Changbai Mountains[J]. Progress in Geography, 2012,31(3):285-292.
doi: 10.11820/dlkxjz.2012.03.003 url: http://www.dlkxjz.com.cn/CN/abstract/abstract10730.shtml
[29] 汪佳程. 空间经济学视角下成都经济区经济引力模型的构建与运用[D]. 成都:西南交通大学, 2018.
[29] Wang J C. The construction and application of economic gravity model in Chengdu economic zone from the perspective of spatial economics[D]. Chengdu:Southwest Jiaotong University, 2018.
[30] Raskie J. Geospatial analysis of fisheries to improve federal enforcement[D]. Durham:Duke Vniversity, 2013.
[31] 何新, 姜广辉, 张瑞娟, 等. 基于PSR模型的土地生态系统健康时空变化分析——以北京市平谷区为例[J]. 自然资源学报, 2015,30(12):2057-2068.
[31] He X, Jiang G H, Zhang R J, et al. Temporal and spatial variation of land ecosystem health based on the pressure-state-response model:A case study of Pinggu District,Beijing[J]. Journal of Natural Resources, 2015,30(12):2057-2068.
[32] 洪惠坤, 廖和平, 魏朝富, 等. 基于改进TOPSIS方法的三峡库区生态敏感区土地利用系统健康评价[J]. 生态学报, 2015,35(24):8016-8027.
doi: 10.5846/stxb201406301353 url: http://www.ecologica.cn/stxb/ch/reader/view_abstract.aspx?file_no=stxb201406301353&flag=1
[32] Hong H K, Liao H P, Wei C F, et al. Health assessment of a land use system used in the ecologically sensitive area of the Three Gorges reservoir area,based on the improved TOPSIS Method[J]. Acta Ecologica Sinica, 2015,35(24):8016-8027.
[33] Wang L, Cao L, Deng X, et al. Changes in aridity index and reference evapotranspiration over the central and eastern Tibetan Plateau in China during 1960—2012[J]. Quaternary International, 2014,349:280-286.
doi: 10.1016/j.quaint.2014.07.030 url: http://dx.doi.org/10.1016/j.quaint.2014.07.030
[34] Vuuren D P V, Smith S J, Riahi K. Downscaling socioeconomic and emissions scenarios for global environmental change research:A review[J]. Wiley Interdisciplinary Reviews Climate Change, 2010,1(3):393-404.
doi: 10.1002/wcc.50 url: http://doi.wiley.com/10.1002/wcc.50
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