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不同地貌特征流域气象和社会经济因素对生态系统服务价值的交互影响

Interactive influences of meteorological and socioeconomic factors on ecosystem service values in a river basin with different geomorphic features.

机构信息

Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China.

Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China.

出版信息

Sci Total Environ. 2022 Jul 10;829:154595. doi: 10.1016/j.scitotenv.2022.154595. Epub 2022 Mar 15.

DOI:10.1016/j.scitotenv.2022.154595
PMID:35302013
Abstract

Ecosystem service value (ESV) is influenced by land use and land cover (LULC), and is closely related to natural conditions and human activities. However, the interactions between human and natural systems and ESV remain unclear, especially concerning widely discussed meteorological and socioeconomic factors. In this study, three periods of LULC patterns (2000, 2010, and 2020) in the Haihe River Basin, northern China, were collected to determine the relationship between changes in LULC and ESV over time. Natural and socioeconomic data associated with ESV were obtained and the structural equation model was used to decouple interactions between these factors. Results showed that the total value of regional ecosystem services has decreased as cultivated land shrunk and artificial surfaces increased over the past two decades. The ESV was significantly decreased in the middle of the basin. The direct effects of meteorological factors and socioeconomic factors on ESV were positive (0.094) and negative (-0.203), respectively. The indirect effect of socioeconomic factors on ESV through meteorological and LULC factors was 0.149. Structural equation modeling demonstrated that under the dominance of LULC, interactions between natural and socioeconomic factors affected ESV in a complex manner. These results implied that identifying the direct and indirect effects of economic development and human activities on ESV could guide and implement effective land management policies.

摘要

生态系统服务价值(ESV)受土地利用和土地覆盖(LULC)的影响,与自然条件和人类活动密切相关。然而,人类和自然系统之间的相互作用以及 ESV 仍然不清楚,特别是在广泛讨论的气象和社会经济因素方面。在本研究中,收集了中国北方海河流域三个时期(2000 年、2010 年和 2020 年)的土地利用/土地覆盖变化模式,以确定土地利用/土地覆盖变化与 ESV 随时间的关系。获得了与 ESV 相关的自然和社会经济数据,并使用结构方程模型来分解这些因素之间的相互作用。结果表明,在过去的二十年中,随着耕地减少和人工表面增加,区域生态系统服务的总价值已经下降。流域中部的 ESV 显著下降。气象因素和社会经济因素对 ESV 的直接影响分别为正(0.094)和负(-0.203)。社会经济因素通过气象和土地利用/土地覆盖因素对 ESV 的间接影响为 0.149。结构方程模型表明,在土地利用的主导下,自然和社会经济因素之间的相互作用以复杂的方式影响 ESV。这些结果表明,确定经济发展和人类活动对 ESV 的直接和间接影响,可以为有效土地管理政策的制定和实施提供指导。

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