Construction of integrated ecosystem assessment method at the small-scale intertidal ecosystem based on remote sensing
LI Ying1,2, CHEN Yun-hao1, CHEN Hui2, XIAO Ru-lin2, TANG Hao-jun3
1. State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China;
2. Satellite Environment Center, Ministry of Environmental Protection of P. R. China, Beijing 100094, China;
3. School of Environment & Natural Resources, Renmin University of China, Beijing 100872, China
An integrated ecosystem assessment method based on remote sensing technology at the small-scale intertidal ecosystem was proposed by integrating the ecosystem structure, quality and service function. The method solved the problem of scale conversion and weak systematic in ecosystem assessment. Taking Shuangtaizi estuary of Liaoning Province as the study area, the proposed method was used to assess the status and changing trend from 1990 to 2016. The results showed that the study area was dominated by poor and intermediate grade, 13.1% of pixels showed the significant weakening trend while 6.9% showed the significant growth trend. As a result, the assessment can reflect the spatial and temporal differences of the various land cover types quantitatively, which met beneficiary's experience and consistent with the previous research results. Therefore, the above conclusion showed that the constructed integrated ecosystem assessment method had the feasibility and application potential.
Phillip S L, Christopher R K, Rebecca L S, et al. Guidance for implementation of integrated ecosystem assessments:a US perspective[J]. ICES Journal of marine science, 2014,71(5):1198-1204.
[4]
Mark D C. Why the complex nature of integrated ecosystem assessments requires a flexible and adaptive approach[J]. ICES Journal of marine science, 2014,71(5):1174-1182.
Tang D, Liu X, Zou X. An improved method for integrated ecosystem health assessments based on the structure and function of coastal ecosystems:A case study of the Jiangsu coastal area, China[J]. Ecological Indicators, 2018,84:82-95.
Trevor F K, Bridget A D, Felts E S, et al. Tracking forest phenology and seasonal physiology using digital repeat photography:A critical assessment[J]. Ecological Applications, 2016,24(6):1478-1489.
[14]
Adam M W, Walter J. Remotely sensed high-resolution global cloud dynamics for predicting ecosystem and biodiversity distributions[J]. Plos biology, 2016,14(3):1-20.
[15]
Stephen R C, Harold A M, John A, et al. Science for managing ecosystem services:beyond the Millennium ecosystem assessment[J]. Proceedings of the National Academy of Sciences of the United States of America, 2009,106(5):1305-1312.
