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Trends in Global Vegetation Activity and Climatic Drivers Indicate a Decoupled Response to Climate Change

机译:全球植被活动和气候驱动因素的趋势表明对气候变化的反应是脱钩的

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摘要

Detailed understanding of a possible decoupling between climatic drivers of plant productivity and the response of ecosystems vegetation is required. We compared trends in six NDVI metrics (1982–2010) derived from the GIMMS3g dataset with modelled biomass productivity and assessed uncertainty in trend estimates. Annual total biomass weight (TBW) was calculated with the LINPAC model. Trends were determined using a simple linear regression, a Thiel-Sen medium slope and a piecewise regression (PWR) with two segments. Values of NDVI metrics were related to Net Primary Production (MODIS-NPP) and TBW per biome and land-use type. The simple linear and Thiel-Sen trends did not differ much whereas PWR increased the fraction of explained variation, depending on the NDVI metric considered. A positive trend in TBW indicating more favorable climatic conditions was found for 24% of pixels on land, and for 5% a negative trend. A decoupled trend, indicating positive TBW trends and monotonic negative or segmented and negative NDVI trends, was observed for 17–36% of all productive areas depending on the NDVI metric used. For only 1–2% of all pixels in productive areas, a diverging and greening trend was found despite a strong negative trend in TBW. The choice of NDVI metric used strongly affected outcomes on regional scales and differences in the fraction of explained variation in MODIS-NPP between biomes were large, and a combination of NDVI metrics is recommended for global studies. We have found an increasing difference between trends in climatic drivers and observed NDVI for large parts of the globe. Our findings suggest that future scenarios must consider impacts of constraints on plant growth such as extremes in weather and nutrient availability to predict changes in NPP and CO2 sequestration capacity.
机译:需要详细了解植物生产力的气候驱动因素与生态系统植被响应之间可能存在的脱钩。我们将来自GIMMS3g数据集的六个NDVI指标(1982-2010年)的趋势与模拟的生物量生产率进行了比较,并评估了趋势估计中的不确定性。用LINPAC模型计算年生物质总重量(TBW)。使用简单的线性回归,Thiel-Sen介质斜率和两部分的分段回归(PWR)确定趋势。 NDVI指标的值与每个生物群落和土地利用类型的净初级生产(MODIS-NPP)和TBW相关。简单的线性趋势和Thiel-Sen趋势相差不大,而PWR增加了所解释的变化的比例,具体取决于所考虑的NDVI指标。发现陆地上24%的像素的TBW呈正趋势,表明气候条件更为有利,而5%则呈负趋势。根据所使用的NDVI度量标准,在所有生产区域中有17–36%观察到去耦趋势,表明TBW为正,单调为负或分段NDVI为负。尽管TBW呈现强烈的负向趋势,但在生产区域中只有1-2%的像素发现发散和绿化趋势。选择NDVI度量标准会严重影响区域范围内的结果,而且生物群落之间MODIS-NPP解释差异的比例差异也很大,因此建议将NDVI度量标准组合用于全球研究。我们发现全球大部分地区的气候驱动趋势与观测到的NDVI之间的差异越来越大。我们的发现表明,未来的情景必须考虑限制因素对植物生长的影响,例如极端天气和养分供应量,以预测NPP和CO2固存能力的变化。

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