| Spatial heterogeneity analysis of matching degree between endangered plant diversity and ecosystem services in Xishuangbanna | |
Zhang, Fan1,2,3; Wang, Huimin3; Alatalo, Juha M.; Bai, Yang1,2,5 ; Fang, Zhou3; Liu, Gang6; Yang, Yang; Zhi, Yanling3; Yang, Shiliang3
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| 2023 | |
| Source Publication | ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
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| ISSN | 0944-1344 |
| Volume | 30Issue:43Pages:96891-96905 |
| Abstract | Biodiversity and ecosystem services (ESs) are closely linked. Human activities have caused critical damage to the habitat and ecosystem function of organisms, leading to decline in global biodiversity and ecosystem services. To ensure sustainable development of local ecological environments, it is critical to analyze the spatial matching degree of biodiversity and ESs and identify ecologically vulnerable areas. Taking Xishuangbanna, southern China, as an example, we constructed a pixel-scale matching degree index to analyze the spatial matching degree of endangered plant diversity (EPD) and four ESs and classified the matching degree into low-low, low-high, high-low, and high-high four types. The results revealed a mismatch relationship of EPD and ESs in more than 70% of areas. Under the influence of altitude and land use/land cover (LULC) type, the matching degree of EPD and ESs showed obvious spatial heterogeneity. In low-altitude areas in the south of Xishuangbanna, EPD and ESs mainly showed mismatch, while high-altitude areas in the west had a better match. Natural forest was the main land cover in which EPD and ESs showed high-high match and its areal proportion was much larger than that of rubber plantation, tea plantation, and cropland. Our findings also stress the need to concentrate conservation efforts on areas exhibiting a low-low match relationship, indicative of potential ecological vulnerability. The pixel-scale spatial matching degree analysis framework developed in this study for EPD and ESs provides high-resolution maps with 30 m x 30 m pixel size, which can support the implementation of ecological protection measures and policy formulation, and has a wide range of applicability. This study provides valuable insights for the sustainable management of biodiversity and ESs, contributing to the strengthening of local ecological environment protection. |
| Keyword | Endangered plant diversity Ecosystem services Pixel-scale matching degree analysis High-resolution maps Xishuangbanna |
| Subject Area | Environmental Sciences & Ecology |
| DOI | http://dx.doi.org/10.1007/s11356-023-29172-7 |
| Indexed By | SCI |
| Language | 英语 |
| WOS ID | WOS:001049824000016 |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | https://ir.xtbg.ac.cn/handle/353005/13857 |
| Collection | 2012年后新成立研究组 景观生态研究组 |
| Affiliation | 1.Hohai Univ, Res Inst Management Sci, Business Sch, Nanjing 211100, Peoples R China 2.Chinese Acad Sci, Ctr Integrat Conservat, Mengla 666303, Yunnan, Peoples R China 3.Chinese Acad Sci, Yunnan Key Lab Conservat Trop Rainforests & Asian, Xishuangbanna Trop Bot Garden, Mengla 666303, Yunnan, Peoples R China 4.Hohai Univ, State Key Lab Hydrol Water Resource & Hydraul Engn, Nanjing 210098, Peoples R China 5.Alatalo, Juha M.] Qatar Univ, Environm Sci Ctr, POB 2713, Doha, Qatar 6.Yunnan Int Joint Lab Southeast Asia Biodivers Cons, Menglun 666303, Peoples R China 7.Tianjin Univ, Dept Econ & Management, Tianjin 300072, Peoples R China |
| Recommended Citation GB/T 7714 | Zhang, Fan,Wang, Huimin,Alatalo, Juha M.,et al. Spatial heterogeneity analysis of matching degree between endangered plant diversity and ecosystem services in Xishuangbanna[J]. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH,2023,30(43):96891-96905. |
| APA | Zhang, Fan.,Wang, Huimin.,Alatalo, Juha M..,Bai, Yang.,Fang, Zhou.,...&Yang, Shiliang.(2023).Spatial heterogeneity analysis of matching degree between endangered plant diversity and ecosystem services in Xishuangbanna.ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH,30(43),96891-96905. |
| MLA | Zhang, Fan,et al."Spatial heterogeneity analysis of matching degree between endangered plant diversity and ecosystem services in Xishuangbanna".ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH 30.43(2023):96891-96905. |
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