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Exploring the interrelations and driving factors among typical ecosystem services in the Yangtze river economic Belt, China.
He, Liujie; Xie, Zeyang; Wu, Hanqing; Liu, Zhong; Zheng, Bofu; Wan, Wei.
Afiliación
  • He L; School of Resources and Environment, Key Laboratory of Poyang Lake Environment and Resource Utilization, Ministry of Education, Nanchang University, Nanchang, 330031, China; Jiangxi Institute of Ecological Civilization Nanchang University, Nanchang, 330031, China.
  • Xie Z; School of Resources and Environment, Key Laboratory of Poyang Lake Environment and Resource Utilization, Ministry of Education, Nanchang University, Nanchang, 330031, China; Jiangxi Institute of Ecological Civilization Nanchang University, Nanchang, 330031, China.
  • Wu H; Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, 410125, China.
  • Liu Z; College of Land Science and Technology, China Agricultural University, Beijing, 100193, China.
  • Zheng B; School of Resources and Environment, Key Laboratory of Poyang Lake Environment and Resource Utilization, Ministry of Education, Nanchang University, Nanchang, 330031, China; Jiangxi Institute of Ecological Civilization Nanchang University, Nanchang, 330031, China. Electronic address: bfzhen@ncu.cdu.
  • Wan W; School of Resources and Environment, Key Laboratory of Poyang Lake Environment and Resource Utilization, Ministry of Education, Nanchang University, Nanchang, 330031, China; Jiangxi Institute of Ecological Civilization Nanchang University, Nanchang, 330031, China. Electronic address: wanwei@ncu.edu.
J Environ Manage ; 351: 119794, 2024 Feb.
Article en En | MEDLINE | ID: mdl-38081088
ABSTRACT
Exploring the spatiotemporal characteristics of ecosystem services (ESs) and their drivers is crucial for managers to develop significant scientific policies that further sustainable development. We used the Yangtze River Economic Belt (YREB) to explore the trends, hotspots, and drivers of water yield (WY), soil conservation (SC), carbon sequestration (CS), and food supply (FS) between 2000 and 2020. Similarly, we analyzed relationships among ESs and drivers of the multiple ecosystem services landscape index (MESLI). We used the self-organizing map method to obtain the types and distribution of the ES bundles, revealing the bundles, trade-offs, and synergies among ESs. The four ESs had an increasing trend, with CS having the highest increase; ES hotspot analysis showed differences among upper, middle, and lower reaches. Constraint lines among ESs and drivers were diverse; the corresponding SC and WY reached thresholds when CS values were 1477.81 and 460.5 t km-2, respectively. When FS values were 67.34 and 86.17 × 104 Yuan·km-2, CS and WY reached their thresholds. All critical drivers of the four ESs were natural factors. The thresholds that the MESLI reached with driver status were 1000 mm (evapotranspiration), 2121 mm (precipitation), 2.42° (slope), 1.46% (soil organic matter), 36.08% (sand), 30.75% (proportion of non-agricultural population), 18.57% (cropland proportion), 1.05 × 104 persons·km-2 (population density), and 84.84% (proportion of non-agricultural industries in total gross domestic product), respectively. FS, water supply, and ecological conservation bundles changed over the 20 years, and trade-offs and synergies among ESs within bundles differed. We revealed the complexity of ESs from multiple perspectives, which will enable the development of ecosystem management and conservation recommendations for the YREB and large-scale economic zones worldwide.
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Ecosistema / Conservación de los Recursos Naturales País/Región como asunto: Asia Idioma: En Revista: J Environ Manage Año: 2024 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Ecosistema / Conservación de los Recursos Naturales País/Región como asunto: Asia Idioma: En Revista: J Environ Manage Año: 2024 Tipo del documento: Article País de afiliación: China