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Ecosystem Assessment Based on Ecosystem Services

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Environmental Sustainability and Applications".

Deadline for manuscript submissions: closed (30 September 2023) | Viewed by 1212

Special Issue Editor

College of Environment Science and Engineering, Huazhong University of Science and Technology, Wuhan 430070, China
Interests: environmental epidemiology; GIS; climate change impact assessment

Special Issue Information

Dear Colleagues,

Ecosystem services are the benefits that people and communities derive from natural habitats. The services they provide support and promote our health and well-being. Many of the services and benefits we derive from ecosystems are being degraded and lost due to relentless development. To continue to benefit from ecosystem services, critical services must be supported, and where they decline, action must be taken to reverse the situation. For this to be realized, ecosystem services need to be considered when making developmental decisions. Ecosystem and environmental assessments of development will play a key role in achieving this. The ecosystem services approach provides a new perspective on ecosystem assessment, enabling deeper and more comprehensive analysis of issues at the landscape level, and for environmental risk assessment, supply and demand modelling, sustainable development, life cycle studies, etc. This Special Issue is the first step in providing such a multidisciplinary synthesis, focusing on, but not limited to, ecosystem health assessment, ecosystem risk assessment, ecosystem valuation, and ecosystem service mapping methodology. Given its systems-based approach, its ability to make trade-offs across temporal and spatial scales, and its growing acceptance by academia and stakeholders, this Special Issue makes cases for the ecosystem services approach as a comprehensive tool to promote greater ecosystem sustainability.

Dr. Sen Li
Guest Editor

Manuscript Submission Information

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Keywords

  • ecosystem services
  • ecosystem assessment
  • ecosystem health
  • ecosystem risk
  • ecosystem valuation

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Published Papers (1 paper)

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Research

23 pages, 6768 KiB  
Article
Scenario Simulation and Driving Force Analysis of Ecosystem Service Values Based on Land Use/Cover in the Tumen River Basin, China
by Richen Ding, Yuchen Li, Chunzi Zhao, Jingping Chen and Weihong Zhu
Sustainability 2024, 16(1), 399; https://doi.org/10.3390/su16010399 - 2 Jan 2024
Cited by 1 | Viewed by 867
Abstract
Key ecological function areas play a crucial role in safeguarding and rehabilitating ecosystems and mitigating regional ecological degradation. Unraveling the interconnectedness between land use/cover (LULC) transformation and the ecosystem service value (ESV) in these regions is of profound importance for sustainable development. In [...] Read more.
Key ecological function areas play a crucial role in safeguarding and rehabilitating ecosystems and mitigating regional ecological degradation. Unraveling the interconnectedness between land use/cover (LULC) transformation and the ecosystem service value (ESV) in these regions is of profound importance for sustainable development. In this paper, the LULC response in the Tumen River Basin (TRB) to an assessment of ESV from 2000 to 2020 was explored. An advanced equivalent factor that incorporates both biomass and socioeconomic factors was used to evaluate the ESV of the TRB. Taking the potential impact of factors such as temperature (TEM), precipitation (PRE), normalized difference vegetation index (NDVI), digital elevation model (DEM), soil organic matter content (SOMC), and human activity intensity of land surface (HAILS) into account, the patch-generating land use simulation model (PLUS) was used to simulate and predict the spatial evolution of the ESV under different land resource management strategies in 2030. The results indicate an increasing trend in the total ESV in the study area from 2000 to 2020, with forested land accounting for nearly 94% of the total ESV for the TRB. HAILS, DEM, and NDVI were identified as the main factors affecting the spatial differentiation of ESV. A negative correlation (−0.65) was found between ESV and the landscape shape ndex (LSI), indicating that more irregularly shaped landscapes have a lower ESV. Positive correlations were observed between the Shannon’s Diversity Index (SHDI) (0.72) and the Aggregation Index (AI) (0.60), suggesting that more diverse and interconnected landscapes have a higher ESV. The PLUS simulation results provide valuable data-based support for achieving planning objectives under different land resource management strategies. Specifically, these findings can serve as a reference for the integrated planning of land resources and environmental protection, promoting the sustainable development of ecological functional areas along the northeast border of China. Full article
(This article belongs to the Special Issue Ecosystem Assessment Based on Ecosystem Services)
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