Spatial patterns of alpine phytomass, primary productivity, and related calorific resources
Spatial patterns of alpine phytomass, primary productivity, and related calorific resources
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DOI：
10.1002/ecs2.1347
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发表时间：
2016-06
期刊：
影响因子：
2.7
通讯作者：
Roland Pape;J. Löffler
中科院分区：
文献类型：
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作者：
Roland Pape;J. Löffler
有一个明显的需要更好地了解高山植物群的本地空间异质性的驱动程序。面临的挑战，无论是在生物群落规模或地块规模的数据，我们希望解开背后的植物量，生产力和能量含量的空间格局在高山驯鹿牧场的驱动力。我们的假设是，我们将找到一套环境变量，解释饲料资源的模式，然后促进空间升级的地块为基础的数据的大规模范围的驯鹿牧场。嵌套分层随机设计的基础上，我们使用单变量和多变量统计分析，饲料资源与环境数据沿着细尺度微地形梯度嵌入在广泛的梯度放牧强度和气候条件在挪威。我们发现，资源的空间异质性是不充分的解释，我们全面的一套常用的环境变量。这表明，常见的方法错误地估计了高山景观中驯鹿高能饲料资源的微观空间格局，而且这些微观空间格局背后的功能尚未得到充分理解。因此，我们的研究结果表明，大规模的模型不能解释在高山环境中的功能，强调分辨率，规模和功能的背景是了解驯鹿牧场的大规模资源模式的关键方面。
There is an obvious need for a better understanding of the drivers of local spatial heterogeneity in alpine phytomass. Facing challenges in scaling relations with data available either at biome-scale or at plot-scale we wanted to disentangle the driving forces behind spatial patterns of phytomass, productivity, and energy content in alpine reindeer pastures. Our hypothesis was that we would find a set of environmental variables that explain the patterns of fodder resources, thereafter facilitating a spatial upscaling of plot-based data to the broad-scale range of the reindeer pastures. Based on a nested stratified random design, we used univariate and multivariate statistical analyses to relate fodder resources to environmental data along fine-scaled micro-topographical gradients which were embedded in broad-scaled gradients of grazing intensities and climatic conditions throughout Norway. We found that the spatial heterogeneity of resources was not sufficiently explained by our comprehensive set of commonly available environmental variables. This reveals that micro-spatial patterns of energetic fodder resources for reindeer in alpine landscapes are miscalculated by common approaches and that the functionalities behind these micro-spatial patterns are not yet fully understood. Hence, our results suggest that broad-scale models cannot account for the functionality in alpine environments, highlighting that resolution, scale, and the functional context are crucial aspects in understanding broad-scale resource patterns of reindeer pastures.