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Studying the Influence of Nitrogen Deposition, Precipitation, Temperature, and Sunshine in Remotely Sensed Gross Primary Production Response in Switzerland

机译:研究氮沉降,降水,温度和阳光对瑞士遥感的初级总生产响应的影响

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Climate, soil type, and management practices have been reported as primary limiting factors of gross primary production (GPP). However, the extent to which these factors predict GPP response varies according to scales and land cover classes. Nitrogen (N) deposition has been highlighted as an important driver of primary production in N-limited ecosystems that also have an impact on biodiversity in alpine grasslands. However, the effect of N deposition on GPP response in alpine grasslands hasn’t been studied much at a large scale. These remote areas are characterized by complex topography and extensive management practices with high species richness. Remotely sensed GPP products, weather datasets, and available N deposition maps bring along the opportunity of analyzing how those factors predict GPP in alpine grasslands and compare these results with those obtained in other land cover classes with intensive and mixed management practices. This study aims at (i) analyzing the impact of N deposition and climatic variables (precipitation, sunshine, and temperature) on carbon (C) fixation response in alpine grasslands and (ii) comparing the results obtained in alpine grasslands with those from other land cover classes with different management practices. We stratified the analysis using three land cover classes: Grasslands, croplands, and croplandsatural vegetation mosaic and built multiple linear regression models. In addition, we analyzed the soil characteristics, such as aptitude for croplands, stone content, and water and nutrient storage capacity for each class to interpret the results. In alpine grasslands, explanatory variables explained up to 80% of the GPP response. However, the explanatory performance of the covariates decreased to maximums of 47% in croplands and 19% in croplandsatural vegetation mosaic. Further information will improve our understanding of how N deposition affects GPP response in ecosystems with high and mixed intensity of use management practices, and high species richness. Nevertheless, this study helps to characterize large patterns of GPP response in regions affected by local climatic conditions and different land management patterns. Finally, we highlight the importance of including N deposition in C budget models, while accounting for N dynamics.
机译:气候,土壤类型和管理实践已被报告为初级生产总值(GPP)的主要限制因素。但是,这些因素预测GPP响应的程度因规模和土地覆盖类别而异。氮沉积已被强调为氮有限的生态系统中初级生产的重要驱动力,这也对高山草原的生物多样性产生了影响。但是,尚未大量研究氮沉积对高寒草原GPP响应的影响。这些偏远地区的特点是地形复杂,管理实践丰富,物种丰富。遥感GPP产品,天气数据集和可用的N沉积图带来了分析这些因素如何预测高山草原GPP的机会,并将这些结果与采用集约化和混合管理实践的其他土地覆被类别中获得的结果进行比较。这项研究的目的是(i)分析氮沉降和气候变量(降水,阳光和温度)对高寒草原固碳反应的影响(c)以及(ii)比较高寒草原与其他草原获得的结果涵盖具有不同管理实践的课程。我们使用三种土地覆被类别对分析进行了分层:草地,农田和农田/天然植被马赛克,并建立了多个线性回归模型。此外,我们分析了土壤特征,例如农田的适应性,石块含量以及每个类别的水和养分储量,以解释结果。在高山草原上,解释变量最多解释了GPP响应的80%。但是,在农田中,协变量的解释性能下降到最大值,最大值为47%,在农田/自然植被镶嵌图中,最大值为19%。进一步的信息将提高我们对氮沉积如何影响具有高强度混合使用管理实践和高物种丰富度的生态系统中的GPP响应的理解。然而,这项研究有助于表征受当地气候条件和不同土地管理模式影响的地区的GPP响应的大模式。最后,我们强调了在C预算模型中包括N沉积的重要性,同时还要考虑N的动力学。

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