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Combined analysis of land cover change and NDVI trends in the Northern Eurasian grain belt

机译:欧亚北部粮食带土地覆盖变化和NDVI趋势的综合分析

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We present an approach to regional environmental monitoring in the Northern Eurasian grain belt combining time series analysis of MODIS normalized difference vegetation index (NDVI) data over the period 2001-2008 and land cover change (LCC) analysis of the 2001 and 2008 MODIS Global Land Cover product (MCD12Q1). NDVI trends were overwhelmingly negative across the grain belt with statistically significant (p⩽0.05) positive trends covering only 1% of the land surface. LCC was dominated by transitions between three classes; cropland, grassland, and a mixed croplandatural vegetation mosaic. Combining our analyses of NDVI trends and LCC, we found a pattern of agricultural abandonment (cropland to grassland) in the southern range of the grain belt coinciding with statistically significant (p⩽0.05) negative NDVI trends and likely driven by regional drought. In the northern range of the grain belt we found an opposite tendency toward agricultural intensification; in this case, represented by LCC from cropland mosaic to pure cropland, and also associated with statistically significant (p⩽0.05) negative NDVI trends. Relatively small clusters of statistically significant (p⩽0.05) positive NDVI trends corresponding with both localized land abandonment and localized agricultural intensification show that land use decision making is not uniform across the region. Land surface change in the Northern Eurasian grain belt is part of a larger pattern of land cover land use change (LCLUC) in Eastern Europe, Russia, and former territories of the Soviet Union following realignment of socialist land tenure and agricultural markets. Here, we show that a combined analysis of LCC and NDVI trends provides a more complete picture of the complexities of LCLUC in the Northern Eurasian grain belt, involving both broader climatic forcing, and narrower anthropogenic impacts, than might be obtained from either analysis alone.
机译:我们结合2001-2008年间MODIS归一化植被指数(NDVI)数据的时间序列分析以及2001年和2008年MODIS全球土地的土地覆被变化(LCC)分析,提出了一种在北亚欧亚粮带进行区域环境监测的方法封面产品(MCD12Q1)。在整个谷物带,NDVI趋势绝大多数呈负向变化,而仅覆盖1%的陆地表面,具有统计学意义(p⩽0.05)的正向变化趋势。 LCC主要由三类之间的过渡组成;农田,草地和混合的农田/自然植被。结合我们对NDVI趋势和LCC的分析,我们发现了粮食带南部范围内的农业废弃模式(从农田到草地),与NDVI的统计显着负相关(p⩽0.05),并且很可能是由区域干旱驱动的。在粮食带的北部,我们发现了农业集约化的相反趋势。在这种情况下,以LCC为代表,从耕地镶嵌到纯耕地,还与NDVI的负统计趋势显着相关(p⩽0.05)。相对较小的具有统计显着性(p⩽0.05)的正NDVI趋势簇,与局部土地废弃和局部农业集约化相对应,表明整个区域的土地利用决策并不统一。随着社会主义土地使用权和农业市场的调整,东欧,俄罗斯和苏联前领土的北部欧亚谷物带土地表面变化是更大的土地覆被变化模式的一部分。在这里,我们显示,LCC和NDVI趋势的组合分析提供了更完整的欧亚大陆北部粮食带LCLUC复杂性的图景,与单独从任一分析得出的结果相比,它涉及更广泛的气候强迫和更小的人为影响。

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