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Anthropogenic contributions dominate trends of vegetation cover change over the farming-pastoral ecotone of northern China

机译:人为贡献主导了中国北方农牧交错带植被覆盖度的变化趋势

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Separating anthropogenic contributions from observed vegetation change is helpful for improving our understanding of the effects of human activities on regional ecosystems. In this study, using 1982–2015 GIMMS3g normal difference vegetation index (observed NDVI), monthly climatic variables and land use data, we investigated anthropogenic contributions on vegetation change in the farming-pastoral ecotone of northern China (FPEN). Specifically, given that large-area ecological engineering was practiced since 1999 and large-area land use changes were recorded after 2000, we assumed that human activities only had little impact before 1999. Based on this assumption, we developed a climate-based NDVI model (also termed as TPR-based NDVI model) by using 1982–1999 observed NDVI and assembled monthly precipitation, temperature and solar radiation. Subsequently, the TPR-based NDVI model as well as the residual analysis method were used to separate anthropogenic contributions from observed NDVI in the period of 2000–2015. Results showed that most FPEN performed a greening trend for the period of 1982–2015. Yet a browning trend was also found in central and northern FPEN. The browning trend was largely related to changes of observed NDVI after 2000. Spatial statistics for the best related climatic variable with observed NDVI displayed that temperature, precipitation and solar radiation separately accounted for 42.45%, 31.05% and 26.50% of FPEN, implying their similar importance for vegetation growth in space. Importantly, this study found that anthropogenic contributions dominated trends of observed NDVI over FPEN. Human activities significantly increased NDVI in western and southeastern FPEN (p  0.05), but small decreased NDVI was also observed in central and northeastern FPEN. The findings of this study suggest that applications of anthropogenic ecological engineering and associated conservation measures should be suitable for features of eco-climatic zones.
机译:将人为贡献与观测到的植被变化分开,有助于增进我们对人类活动对区域生态系统影响的理解。在这项研究中,我们使用1982-2015年GIMMS3g正常差异植被指数(观察到的NDVI),每月气候变量和土地利用数据,研究了人为对中国北方农牧交错带(FPEN)植被变化的贡献。具体来说,假设自1999年以来就进行了大面积的生态工程,并且在2000年之后记录了大面积的土地利用变化,我们假设人类活动在1999年之前只产生了很小的影响。基于此假设,我们开发了基于气候的NDVI模型(也称为基于TPR的NDVI模型),使用1982-1999年观测到的NDVI并汇总了每月的降水,温度和太阳辐射。随后,基于TPR的NDVI模型以及残差分析方法被用于从2000-2015年期间从观测到的NDVI中分离出人为贡献。结果表明,大多数FPEN都在1982-2015年期间表现出绿化趋势。然而,在中部和北部的FPEN中也发现了褐变趋势。褐变趋势主要与2000年后观测到的NDVI的变化有关。与观测到的NDVI最佳相关的气候变量的空间统计显示,温度,降水和太阳辐射分别占FPEN的42.45%,31.05%和26.50%,这表明它们相似对空间植被生长的重要性。重要的是,这项研究发现,人为因素主导了观测到的NDVI超过FPEN的趋势。人类活动显着增加了西部和东南部FPEN中的NDVI(p <0.05),但在中部和东北部FPEN中也观察到了NDVI的小幅下降。这项研究的结果表明,人为生态工程的应用和相关的保护措施应适合于生态气候区的特征。

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