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秦岭地区生态系统服务权衡/协同及预测

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原文链接
  • NETL
  • NSTL
  • 万方数据
识别和评估秦岭地区生态系统所提供的主要服务,可深入理解生态系统服务及可持续发展等相关理论,并对区域生态管控具有重要指导意义.基于多源数据集,耦合CASA、InVEST、RU-SLE和CA-Markov等模型,模拟及预测秦岭地区2004～2034年植被净初级生产力(NPP)、土壤保持(SC)和生境质量(HQ)等主导生态服务的时空分布特征,并采用相关系数法分别从静态和动态的角度识别权衡/协同关系.结果表明:①在时间尺度上,植被净初级生产力、土壤保持年际变化整体呈波动上升趋势,而生境质量呈波动下降趋势;在空间尺度上,3种生态系统服务均呈现北高南低、西高东低的特征,与植被生长状况具有较好的响应.②从静态角度来看,3种生态系统服务对均呈现显著的协同关系;从动态角度来看,3种生态系统服务对的关系均以权衡为主;不同角度得出的结果不尽相同.③时空模拟验证表明,CA-Markov模型在该区域具有较好的适用性;根据预测结果,3种生态系统服务的高值区域未来将不断扩张,其发展趋于优化.
Ecosystem Service Trade-offs/Synergies and Projections in Qinling Mountains,China
By identifying and evaluating the primary services provided by the ecosystem in Qinling Mountains,a deeper understanding of theories related to ecosystem services and sustainable development can be achieved,providing important guidance for regional ecological management.A multi-source dataset was utilized,coupling models including CASA,InVEST,RUSLE and CA-Markov,to simulate and predict the spatial and temporal distribution characteristics of dominant ecosystem services,including net primary productivity(NPP),soil conservation(SC)and habitat quality(HQ)in Qinling Mountains from 2004 to 2034;the trade-offs and synergies were identified from both static and dynamic perspectives using correlation coefficient methods.The results show that ① temporally,NPP and SC show a fluctuating upward trend,while HQ shows a fluctuating downward trend;spatially,all three ecosystem services exhibit higher values in the north and west,and lower values in the south and east,correlating well with vegetation growth conditions.② From a static perspective,three ecosystem service pairs demonstrate significant synergies;however,from a dynamic perspective,the relationships between three ecosystem services are predominantly characterized by trade-offs;results differ when viewed from different perspectives.③ The validation of spatiotemporal simulations indicates that the CA-Markov model is well-suited for this region.According to the predictions,high-value areas of three ecosystem services will continue to expand in the future,and trending towards optimization.

ecosystem servicenet primary productionsoil conservationhabitat qualitytrade-offssynergiesCA-Markov modelQinling Mountains

王丽霞、潘飞燕、张晶、杨耘、刘招

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长安大学地质工程与测绘学院,陕西西安 710054

陕西地建房地产开发集团有限责任公司,陕西西安 710054

长安大学水利与环境学院,陕西西安 710054

生态系统服务 植被净初级生产力 土壤保持 生境质量 权衡 协同 CA-Markov模型 秦岭地区

陕西省自然科学基金项目甘肃恒通路桥工程有限公司项目中央高校基本科研业务费专项资金项目中央高校基本科研业务费专项资金项目

2021JM-161220226240131300102269201300102299206

2024

10.19814/j.jese.2024.03020

地球科学与环境学报
长安大学

地球科学与环境学报

CSTPCD北大核心
影响因子：1.422
ISSN：1672-6561
年,卷(期)：2024.46(5)