Study on spatiotemporal changes of wetlands based on PLS-SEM and PLUS model: The case of the Sanjiang Plain

IF 7 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES
Jinhao Shi , Peng Zhang , Yang Liu , Le Tian , Yazhuo Cao , Yue Guo , Ji Li , Yunhan Wang , Junhan Huang , Ri Jin , Weihong Zhu
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Abstract

Wetlands are among the most productive ecosystems and play crucial roles in relation to biodiversity conservation and various ecosystem services. However, rapid urbanization and environmental changes have led to the loss of a significant number of wetlands, making it imperative to understand the driving forces behind wetland changes. This study employed Partial Least Squares Structural Equation Modeling (PLS-SEM) and the Patch-generating Land Use Simulation (PLUS) model to investigate the influences of natural factors and urbanization on wetland distribution. Based on the driving factors, simulations were conducted for three scenarios—Natural Increase Scenario (NIS), Economic Development Scenario (EDS), and Wetland Protection Scenario (WPS)—projecting the wetland distribution in the Sanjiang Plain until 2050. Results indicate that from 1990 to 2020, the wetland area increased by 9,548.58 km2, with paddy fields increasing by 12,995.73 km2 and marsh wetlands decreasing by 1,031.9 km2. The factors driving wetland distribution varied across different periods. Between 1990 and 2000, topography and urbanization significantly influenced wetland distribution, whereas climate factors became gradually more significant between 2010 and 2020. Furthermore, in addition to exerting direct impacts on wetland distribution, urbanization and climate factors can indirectly affect wetland distribution by influencing topography and soil. Future development scenarios indicate an inevitable increase in paddy field areas and decrease in wetland areas. This framework provides an effective approach for exploring regional wetland changes and supporting regional wetland conservation and future sustainable development.
基于 PLS-SEM 和 PLUS 模型的湿地时空变化研究:以三江平原为例
湿地是最具生产力的生态系统之一,在生物多样性保护和各种生态系统服务方面发挥着至关重要的作用。然而,快速的城市化和环境变化导致大量湿地消失,因此了解湿地变化背后的驱动力势在必行。本研究采用偏最小二乘法结构方程模型(PLS-SEM)和斑块生成土地利用模拟(PLUS)模型来研究自然因素和城市化对湿地分布的影响。根据驱动因素,模拟了三种情景--自然增长情景(NIS)、经济发展情景(EDS)和湿地保护情景(WPS),预测了三江平原至2050年的湿地分布。结果表明,从 1990 年到 2020 年,湿地面积增加了 9548.58 平方公里,其中水田增加了 12995.73 平方公里,沼泽湿地减少了 1031.9 平方公里。不同时期湿地分布的驱动因素各不相同。1990 年至 2000 年期间,地形和城市化对湿地分布的影响较大,而 2010 年至 2020 年期间,气候因素对湿地分布的影响逐渐增大。此外,除了对湿地分布产生直接影响外,城市化和气候因素也会通过影响地形和土壤间接影响湿地分布。未来的发展情景表明,水田面积的增加和湿地面积的减少不可避免。该框架为探索区域湿地变化、支持区域湿地保护和未来可持续发展提供了有效方法。
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来源期刊
Ecological Indicators
Ecological Indicators 环境科学-环境科学
CiteScore
11.80
自引率
8.70%
发文量
1163
审稿时长
78 days
期刊介绍: The ultimate aim of Ecological Indicators is to integrate the monitoring and assessment of ecological and environmental indicators with management practices. The journal provides a forum for the discussion of the applied scientific development and review of traditional indicator approaches as well as for theoretical, modelling and quantitative applications such as index development. Research into the following areas will be published. • All aspects of ecological and environmental indicators and indices. • New indicators, and new approaches and methods for indicator development, testing and use. • Development and modelling of indices, e.g. application of indicator suites across multiple scales and resources. • Analysis and research of resource, system- and scale-specific indicators. • Methods for integration of social and other valuation metrics for the production of scientifically rigorous and politically-relevant assessments using indicator-based monitoring and assessment programs. • How research indicators can be transformed into direct application for management purposes. • Broader assessment objectives and methods, e.g. biodiversity, biological integrity, and sustainability, through the use of indicators. • Resource-specific indicators such as landscape, agroecosystems, forests, wetlands, etc.
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