利用生态系统服务束识别黄土高原生态功能区

Q1 Social Sciences
Fan Wu , Youjia Liang , Lijun Liu , Zhangcai Yin , Jiejun Huang
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引用次数: 0

摘要

优化生态系统服务功能是实施区域生态管理战略的关键。利用多源数据和综合建模方法,分析了2000 - 2015年黄土高原8个典型生态系统的时空变化特征,包括粮食生产、原料供应、水源涵养、碳储存服务、土壤保持、氧气生产、娱乐活动和净初级生产力服务。然后,根据8个生态系统服务束之间的关系划分生态系统服务束,基于不同服务束类型相似性的空间聚类,得到县(市、旗、区)层面的4种生态功能区类型。并利用主成分分析(PCA)在时空尺度上识别和评估了影响因子对生态功能区的贡献。研究发现,不同生态系统的时空变化明显,粮食生产和水土保持服务功能总体增加,碳储存服务功能变化不显著,原料供应、水源涵养、氧气生产、休闲娱乐和NPP服务功能总体减少。2000 - 2015年,显著协同效应ES对数量减少,显著权衡效应ES对数量增加。结果表明,在生态发展区(ESB 2)和多生态功能区(ESB 3)应减少城市扩张导致的森林和草地生态系统的间接损失,同时在产粮区(ESB 4)应调整作物种植结构和种植密度,以减少与节水服务相关的生态系统权衡。基于ESB的生态功能区划可用于完善生态脆弱区生态恢复管理策略和优化生态补偿方案(ESB 1)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Identifying eco-functional zones on the Chinese Loess Plateau using ecosystem service bundles

Optimizing the function of ecosystem services (ESs) is vital for implementing regional ecological management strategies. In this study, we used multi-source data and integrated modelling methods to assess the spatiotemporal variations in eight typical ESs on the Chinese Loess Plateau from 2000 to 2015, including grain production, raw material provision, water conservation, carbon storage service, soil conservation, oxygen production, recreation, and net primary productivity (NPP) services. Then, we divided the ecosystem service bundles (ESBs) according to relationships among the eight ESs, obtaining four types of eco-functional areas at the county (city or banner or district) level based on the spatial clustering of similarities in different ES types. We also identified and assessed the contributions of influencing factors to these eco-functional areas using principal component analysis (PCA) across spatiotemporal scales. We found that the spatiotemporal variations in different ESs were noticeable, with an overall increase in grain production and soil conservation services, no significant change in carbon storage service, and overall decreases in raw material provision, water conservation, oxygen production, recreation, and NPP services. From 2000 to 2015, the number of significant synergistic ES pairs decreased, while that of significant trade-off pairs increased. To the changes of ESBs in the eco-functional areas, the results indicated that the indirect loss of these ESs from forest and grassland due to urban expansion should be reduced in ecological development area (ESB 2) and multi ecological functional area (ESB 3). Meanwhile, crop planting structures and planting densities should be adjusted to reduce ES trade-offs associated with water conservation service in grain-producing area (ESB 4). Lastly, ESB-based eco-functional zoning can be used to improve ecological restoration management strategies and optimize ecological compensation schemes in ecologically fragile area (ESB 1).

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来源期刊
Regional Sustainability
Regional Sustainability Social Sciences-Urban Studies
CiteScore
3.70
自引率
0.00%
发文量
20
审稿时长
21 weeks
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