New framework for large-scale ecological quality evaluation and application research using remote sensing data

  • role: First author第一作者
  • Affiliation:

    Ministry of Ecology and Environment Center for Satellite Application on Ecology and Environment, Beijing 100094, China

  • Email:gjx@nies.org
  • Introduction:E-mailgjx@nies.org
GAO Jixi,  
  • Affiliation:

    Ministry of Ecology and Environment Center for Satellite Application on Ecology and Environment, Beijing 100094, China

WAN Huawei,  
  • Affiliation:

    Ministry of Ecology and Environment Center for Satellite Application on Ecology and Environment, Beijing 100094, China

WANG Yongcai,  
  • Affiliation:

    Ministry of Ecology and Environment Center for Satellite Application on Ecology and Environment, Beijing 100094, China

HOU Peng,  
  • Affiliation:

    Ministry of Ecology and Environment Center for Satellite Application on Ecology and Environment, Beijing 100094, China

SHI Peirong,  
  • Affiliation:

    Ministry of Ecology and Environment Center for Satellite Application on Ecology and Environment, Beijing 100094, China

SUN Chenxi

Resümee

Ecosystem is the foundation of human survival and sustainable development. Ecological quality evaluation will provide a scientific basis for formulating policies aimed at ecological protection and restoration, which further promote the construction of an ecological civilization.We constructed a remote sensing evaluation framework for ecological quality. This framework consists of “function-stability-stress” in three dimensions. Then, we used remote sensing data, such as vegetation parameters and land use, to monitor and evaluate the terrestrial ecological quality from 2000 to 2018.The overall ecological quality of the country was in good condition in 2018, with approximately 36.98% of the ecological quality above average and only 4.33% indicating poor ecological quality. Fujian, Hainan, Guangxi, and other provinces showed the best ecological quality. From 2000 to 2018, 53.97% of the area ecological quality showed an improvement trend, and the improvement trend was more obvious after 2011. The ecological quality situation in some regions nationwide is still severe. These areas have low ecosystem function, poor ecosystem stability, and high ecosystem stress.By summarizing the results of the national ecological quality assessment, we can observe that the ecological quality evaluation framework is scientific, simple, fast, and economically feasible. Thus, it can meet the requirements of a rapid assessment of regional or national ecosystem quality.

Schlüsselwort

ecosystem quality assessment;remote sensing;ecosystem function;ecosystem stability;ecosystem stress

References

  1. 1.
    Chen F, Ge X P, Chen G and Peng B Z. 2001. Spatial different analysis of landscape change and human impact in urban fringe. Scientia Geographica Sinica, 21(3): 210-216
  2. 2.
    Chen Q, Chen Y H, Wang M J, Jiang W G, Hou P and Li Y. 2015. Ecosystem quality comprehensive evaluation and change analysis of Dongting Lake in 2001-2010 based on remote sensing. Acta Ecologica Sinica, 35(13): 4347-4356
  3. 3.
    China Meteorological Administration. 2017. GB/T 34815—2017 Meteorological evaluating index of vegetation ecological quality. Beijing: Standards Press of China
  4. 4.
    Costanza R. 1992. Toward an operational definition of ecosystem health//Costanza R, Norton B G, Haskell B D, eds. Ecosystem Health: New Goals for Environmental Management. Washington: Island Press: 239-259
  5. 5.
    Pan J H, Pan F J. 2018. Regional Ecosystem Quality and Ecosystem Service Assessment—A Case Study of Gansu Province. Beijing: Science Press
  6. 6.
    Das S, Pradhan B, Shit P K and Alamri A M. 2020. Assessment of wetland ecosystem health using the pressure-State-Response (PSR) model: a case study of Mursidabad District of West Bengal (India). Sustainability, 12(15): 5932
  7. 7.
    De Keersmaecker W, Lhermitte S, Honnay O, Farifteh J, Somers B and Coppin P. 2014. How to measure ecosystem stability? An evaluation of the reliability of stability metrics based on remote sensing time series across the major global ecosystems. Global Change Biology, 20(7): 2149-2161
  8. 8.
    Ding Q, Wang L, Fu M C and Huang N. 2020. An integrated system for rapid assessment of ecological quality based on remote sensing data. Environmental Science and Pollution Research, 27(26): 32779-32795
  9. 9.
    Feng J F, Li Y, Zhu L. 2009. Discrimination of concepts of ecosystem functions and ecosystem services. Ecology and Environmental Sciences, 18(4): 1599-1603
  10. 10.
    Hou P, Yang M, Zhai J, Liu X M, Wan H W, Li J, Cai MY, Liu H M. 2017. Discussion about natural reserve and construction of national ecological security pattern. Geographical Research, 36(3): 420-428
  11. 11.
    Jackson S T, Duke C S, Hampton S E, Jacobs K L, Joppa L N, Kassam K A S, Mooney H A, Ogden L A, Ruckelshaus M and Shogren J F. 2016. Toward a national, sustained U.S. ecosystem assessment. Science, 354(6314): 838-839
  12. 12.
    Kuenzer C, Ottinger M, Wegmann M, Guo H D, Wang C L, Zhang J Z, Dech S and Wikelski M. 2014. Earth observation satellite sensors for biodiversity monitoring: potentials and bottlenecks. International Journal of Remote Sensing, 35(18): 6599-6647
  13. 13.
    Li S, Qiu W, Zhao Q L and Liu Z M. 2006. Applying analytical hierarchy process to assess eco-environment quality of Heilongjiang province. Environmental Science, 27(5): 1031-1034
  14. 14.
    Li Y L. 2007. Ecological environment quality comprehensive evaluation model based on grey clustering. Science of Surveying and Mapping, 32(5): 77-79
  15. 15.
    Li Y Y, Dong S K, Wen L, Wang X X and Wu Y. 2013. Three-dimensional framework of vigor, organization, and resilience (VOR) for assessing rangeland health: a case study from the alpine meadow of the Qinghai-Tibetan Plateau, China. EcoHealth, 10(4): 423-433
  16. 16.
    Liang S L, Cheng J, Jia K, Jiang B, Liu Q, Liu S H, Xiao Z Q, Xie X H, Yao W Y J, Yuan W P, Zhang X T and Zhao X. 2016. Recent progress in land surface quantitative remote sensing. Journal of Remote Sensing, 20(5): 875-898
  17. 17.
    Liang S L, Zhao X, Liu S H, Yuan W P, Cheng X, Xiao Z Q, Zhang X T, Liu Q, Cheng J, Tang H R, Qu Y H, Bo Y C, Qu Y, Ren H Z, Yu K and Townshend J. 2013. A long-term Global Land Surface Satellite (GLASS) data-set for environmental studies. International Journal of Digital Earth, 6(sup1): 5-33
  18. 18.
    Liu S L, Liu L M, Wu X, Hou X Y, Zhao S and Liu G H. 2018. Quantitative evaluation of human activity intensity on the regional ecological impact studies. Acta Ecologica Sinica, 38(19): 6797-6809
  19. 19.
    Liu X W, Zhou H C, Li P and Peng S L. 2004. A conceptual analysis of ecosystem stability. Acta Ecologica Sinica, 24(11): 2635-2640
  20. 20.
    Lu Q, Zhao D S, Wu S H, Dai E F and Gao J B. 2019. Using the NDVI to analyze trends and stability of grassland vegetation cover in Inner Mongolia. Theoretical and Applied Climatology, 135(3): 1629-1640
  21. 21.
    Lu Y L, Wang R S, Zhang Y Q, Su H Q, Wang P, Jenkins A, Ferrier R C, Bailey M and Squire G. 2015. Ecosystem health towards sustainability. Ecosystem Health and Sustainability, 1(1): 1-15.
  22. 22.
    Ma P P, Li J, Liu Q H, He B B and Zhao J. 2019. Multisensor synergistic quantitative leaf area index product of China. Journal of Remote sensing, 23(6): 1232-1252
  23. 23.
    Martinez-Haro M, Beiras R, Bellas J, Capela R, Coelho J P, Lopes I, Moreira-Santos M, Reis-Henriques A M, Ribeiro R, Santos M M and Marques J C. 2015. A review on the ecological quality status assessment in aquatic systems using community based indicators and ecotoxicological tools: What might be the added value of their combination?. Ecological Indicators, 48: 8-16
  24. 24.
    Miao H, Wang X K, Ouyang Z Y. 2001. Study on regionalization of eco-environmental stress process in China. Acta Ecologica Sinica, 21(1): 7-13
  25. 25.
    Moushani S, Kazemi H, Klug H, Asadi M E and Soltani A. 2021. Ecosystem service mapping in soybean agroecosystems. Ecological Indicators, 121: 107061
  26. 26.
    Ouyang Z Y, Wang Q, Zheng H, Zhang F and Hou P. 2014. National ecosystem survey and assessment of China (2000-2010). Bulletin of Chinese Academy of Sciences, 29(4): 462-466.
  27. 27.
    Paetzold A, Warren P H and Maltby L L. 2010. A framework for assessing ecological quality based on ecosystem services. Ecological Complexity, 7(3): 273-281
  28. 28.
    Palmer M A and Filoso S. 2009. Restoration of ecosystem services for environmental markets. Science, 325(5940): 575-576.
  29. 29.
    Pan J H and Dong L L. 2016. Comprehensive evaluation of ecosystem quality in the Shule River basin, Northwest China from 2001 to 2010. Chinese Journal of Applied Ecology, 27(9): 2907-2915
  30. 30.
    Pettorelli N, To Bühne H S, Tulloch A, Dubois G, Macinnis-Ng C, Queirós A M, Keith D A, Wegmann M, Schrodt F, Stellmes M, Sonnenschein R, Geller G N, Roy S, Somers B, Murray N, Bland L, Geijzendorffer I, Kerr J T, Broszeit S, Leitão P J, Duncan C, El Serafy G, He K S, Blanchard J L, Lucas R, Mairota P, Webb T J and Nicholson E. 2018. Satellite remote sensing of ecosystem functions: opportunities, challenges and way forward. Remote Sensing in Ecology and Conservation, 4(2): 71-93
  31. 31.
    Rong Y, Li C, Xu C and Yan Y. 2017. Ecosystem service values and spatial differentiation changes during urbanization: a case study of Huanghua City. Chinese Journal of Ecology, 36(5): 1374-1381
  32. 32.
    Schröter M, Albert C, Marques A, Tobon W, Lavorel S, Maes J, Brown C, Klotz S and Bonn A. 2016. National ecosystem assessments in Europe: a review. BioScience, 66(10): 813-828
  33. 33.
    State Environmental Protection Administration. 2006. HJ/T 192-2006 Technical criterion for eco-environmental status evaluation. 北京: China Environmental Science Press (国家环境保护总局. 2006. HJ/T 192-2006
  34. 34.
    Tian J L. 2013. Summary of research on regional ecological environment quality evaluation. Environmental Protection and Circular Economy, 33(11): 63-66
  35. 35.
    Wang F Q, Yang H, Zhao H and Kang P P. 2018. Ecological effect evaluation of water diversion in the Yellow River delta wetland. Water Policy, 20(4): 744-757
  36. 36.
    Wang K, Franklin S E, Guo X L and Cattet M. 2010. Remote sensing of ecology, biodiversity and conservation: a review from the perspective of remote sensing specialists. Sensors, 10(11): 9647-9667
  37. 37.
    Wang Q, Wang W J, Zhen B H, Liu Y P, Zhang L B, Wei B and Shen W M. 2003. The remote sensing investigation of eco-environmental status in Western China. Journal of Remote Sensing, 7(6): 490-497
  38. 38.
    Wang W J, Pan Y Z and Li X. 2001. Basic indicator selection framework on regional ecological quality assessment in China. Environmental Monitoring in China, 17(5): 17-21
  39. 39.
    Wu B F and Zhang M. 2017. Remote sensing: observations to data products. Acta Geographica Sinica, 72(11): 2093-2111
  40. 40.
    Xiang Y, Xiao Z Q, Liang S L, Wang J D and Song J L. 2014. Validation of global land surface satellite (GLASS) leaf area index product. Journal of Remote Sensing, 18(3): 573-596
  41. 41.
    Xiao R, Yu X Y, Shi R X, Zhang Z H, Yu W X, Li Y S, Chen G and Gao J. 2019. Ecosystem health monitoring in the Shanghai-Hangzhou Bay Metropolitan Area: a hidden Markov modeling approach. Environment International, 133: 105170
  42. 42.
    Xu H Q. 2013. A remote sensing urban ecological index and its application. Acta Ecologica Sinica, 33(24): 7853-7862
  43. 43.
    Xu X L, Pang Z G and Yu X F. 2014. Spatial-Temporal Pattern Analysis of Land Use/Cover. Beijing: Scientific and Technical Documentation Press

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