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Ecosystem Services and Ecological Restoration in the Northern Shaanxi Loess Plateau, China, in Relation to Climate Fluctuation and Investments in Natural Capital

机译:陕北黄土高原地区生态系统服务与生态恢复与气候波动和自然资本投资的关系

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Accurately identifying the spatiotemporal variations and driving factors of ecosystem services (ES) in ecological restoration is important for ecosystem management and the sustainability of nature conservation strategies. As the Green for Grain project proceeds, food provision, water regulation and climate regulation services in the Northern Shaanxi Loess Plateau (NSLP) are changing and have caused broad attention. In this study, the dynamic pattern of the normalized differential vegetation index (NDVI) and the main drivers of grain production (GP), water yield (WY) and net primary production (NPP) in the NSLP from 2000–2013 are identified by incorporating multiple data and methods, in order to provide a better understanding of how and why ES change during ecological restoration. WY was simulated by hydrological modeling, and NPP was estimated with the Carnegie Ames Stanford Approach (CASA) model. The results show that vegetation restoration continued from 2000–2013, but fluctuated because of the comprehensive influence of climate and human activity. GP and NPP both exhibited significantly increasing trends, while changes in WY occurred in two stages: decline (2000–2006) and growth (2007–2013). Spatially, significantly increasing trends in NPP and WY were detected in 52.73% and 24.76% of the region, respectively, in areas that correspond with the Green for Grain project and high precipitation growth. Correlation and partial correlation analyses show that there were different dominant factors (i.e., natural vs. anthropogenic) driving ES change in the NSLP from 2000–2013. The change in WY was mainly driven by precipitation, while the improvements in GP and NPP can be attributed to investments in natural capital (i.e., chemical fertilizer, agricultural machinery power and afforestation). We also found that vegetation restoration can produce positive effects on NPP, but negative effects on WY by using response analyses of WY or NPP change to NDVI change, demonstrating that additional research on the role of water in vegetation restoration is needed. Our results provide support for ES management and the sustainable development of ecological restoration in the NSLP.
机译:准确地识别生态恢复中生态系统服务的时空变化和驱动因素对于生态系统管理和自然保护战略的可持续性具有重要意义。随着“绿色换粮”项目的进行,陕北黄土高原(NSLP)的粮食供应,水调节和气候调节服务正在发生变化,并引起了广泛关注。在这项研究中,通过合并分析,确定了2000-2013年NSLP的归一化差分植被指数(NDVI)的动态模式以及粮食生产(GP),水产量(WY)和净初级生产(NPP)的主要驱动因素。多种数据和方法,以便更好地了解生态恢复过程中ES的变化方式和原因。 WY是通过水文模型模拟的,而NPP是通过卡内基·埃姆斯·斯坦福方法(CASA)模型进行估算的。结果表明,植被恢复在2000-2013年期间持续进行,但由于气候和人类活动的综合影响而有所波动。 GP和NPP均显示出显着增加的趋势,而WY的变化发生在两个阶段:下降(2000-2006年)和增长(2007-2013年)。在空间上,在与“绿色粮食计划”和高降水量增长相对应的区域中,分别发现该区域的NPP和WY趋势显着增加,分别为52.73%和24.76%。相关性和偏相关性分析表明,从2000年到2013年,NSLP中有不同的主导因素(即自然因素和人为因素)驱动着ES的变化。 WY的变化主要是由降水驱动的,而GP和NPP的提高可归因于对自然资本(即化肥,农业机械动力和绿化)的投资。我们还发现,通过使用WY或NPP变化对NDVI变化的响应分析,植被恢复可以对NPP产生正向影响,而对WY产生负向影响,这表明需要对水在植被恢复中的作用进行更多研究。我们的结果为NSLP中的ES管理和生态恢复的可持续发展提供了支持。

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