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Projections of future land use changes: Multiple scenarios-based impacts analysis on ecosystem services for Wuhan city, China

机译:未来土地利用变化的预测:基于多种情景的武汉市生态系统服务影响分析

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Urbanization alters the supply of ecosystem services that are vital for human well-being. The loss of ecosystem services is particularly challenging in rapid urbanization areas where economic development needs to consume substantial natural resources. The quantitative and spatial optimization of land use provides an effective tool for rationally allocating land use structure and pattern to ensure the provision of expected ecosystem services. In this paper, we combine the Multi-Objective Programming and the Dyna-CLUE model to project land use changes in 2030 for Wuhan city under three scenarios, i.e., Business As Usual (BAU), Rapid Economic Development (RED), and Ecological Land Protection (ELP). The coupled model that integrates “top-down” and “bottom-up” processes is capable of obtaining the optimized land use patterns under different scenarios and examining the potential impacts of land use changes on ecosystem services in a spatially explicit way. We find that built-up land will continue its remarkable growth during 2015-2030 under the BAU scenario (grows by 96%) at the expense of ecological lands (decreases by 18%). Meanwhile, the predicted losses of ecological lands are 11% and 6% under the RED and ELP scenarios, respectively. Projected land use changes result in varying magnitudes of declines in ecosystem service values for BAU (11%), RED (6%) and ELP (2%) scenarios from 2015 to 2030. The ELP scenario, which incorporates ecological protection policies and spatial restrictions, plays a positive role in altering land use trends and mitigating ecosystem degradation. Finally, we establish an ecosystem service value change matrix to explain how interactions between land use types give rise to trade-offs among multiple ecosystem services. We find that conversions between ecological land use types can trigger trade-offs among ecosystem services, but the conversion from ecological lands towards urban land leads to a net loss of all individual ecosystem services. By linking land and ecological systems, the coupled modeling framework in this study can be useful for obtaining optimal ecosystem-based land use allocation strategies and provide scientific support for sustainable land use management.
机译:城市化改变了对人类福祉至关重要的生态系统服务的供应。在经济发展需要消耗大量自然资源的快速城市化地区,生态系统服务的丧失尤其具有挑战性。土地利用的数量和空间优化为合理分配土地利用结构和格局提供了有效的工具,以确保提供预期的生态系统服务。本文将多目标规划与Dyna-CLUE模型相结合,以照常营业(BAU),经济快速发展(RED)和生态用地三种情景预测2030年武汉市的土地利用变化保护(ELP)。结合了“自上而下”和“自下而上”过程的耦合模型能够获得不同情况下的优化土地利用模式,并以空间明确的方式检查土地利用变化对生态系统服务的潜在影响。我们发现,在BAU情景下,已建成土地在2015-2030年期间将继续显着增长(增长96%),而生态土地却会下降(下降18%)。同时,在RED和ELP情景下,生态土地的预计损失分别为11%和6%。预计的土地利用变化将导致2015年至2030年BAU(11%),RED(6%)和ELP(2%)情景中生态系统服务价值的下降幅度不同。ELP情景包括生态保护政策和空间限制在改变土地利用趋势和减轻生态系统退化方面发挥着积极作用。最后,我们建立了一个生态系统服务价值变化矩阵,以解释土地利用类型之间的相互作用如何导致多种生态系统服务之间的权衡。我们发现,生态土地利用类型之间的转换可以触发生态系统服务之间的权衡,但是从生态土地向城市土地的转换导致所有单个生态系统服务的净损失。通过将土地和生态系统联系起来,本研究中的耦合建模框架可用于获得基于生态系统的最佳土地分配策略,并为可持续土地利用管理提供科学支持。

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