A morphometric analysis of vegetation patterns in dryland ecosystems.
A morphometric analysis of vegetation patterns in dryland ecosystems.
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DOI：
10.1098/rsos.160443
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发表时间：
2017-02
影响因子：
3.5
通讯作者：
Lenton TM
中科院分区：
文献类型：
--
作者：
Mander L;Dekker SC;Li M;Mio W;Punyasena SW;Lenton TM
旱地生态系统中的植被常常形成显著的空间格局。这些范围从植被与光秃秃的地面交替的规则带，到植被斑点和迷宫，再到在植被连续扩张的光秃秃的地面上的规则缝隙。有人认为，斑点植被模式可能表明即将崩溃为光秃秃的地面状态，因此，空间植被模式的形态代表了旱地生态系统政权转变接近程度的潜在有价值的信息来源。在本文中，我们开发了定量的方法来表征旱地植被的空间格局形态。我们的方法是基于基于纹理图案的花粉粒分类算法技术，并涉及构建特征向量来量化植被图案形成的形状。我们分析了由计算模型和南科尔多凡（南苏丹）的一小组卫星图像生成的图案植被图像，这表明我们的方法既适用于模拟数据，也适用于现实数据。我们的方法提供了一种量化模式的方法，这些模式通常是用定性术语来描述的，可以用来对旱地生态系统的大规模卫星调查中的植被模式进行分类。
Vegetation in dryland ecosystems often forms remarkable spatial patterns. These range from regular bands of vegetation alternating with bare ground, to vegetated spots and labyrinths, to regular gaps of bare ground within an otherwise continuous expanse of vegetation. It has been suggested that spotted vegetation patterns could indicate that collapse into a bare ground state is imminent, and the morphology of spatial vegetation patterns, therefore, represents a potentially valuable source of information on the proximity of regime shifts in dryland ecosystems. In this paper, we have developed quantitative methods to characterize the morphology of spatial patterns in dryland vegetation. Our approach is based on algorithmic techniques that have been used to classify pollen grains on the basis of textural patterning, and involves constructing feature vectors to quantify the shapes formed by vegetation patterns. We have analysed images of patterned vegetation produced by a computational model and a small set of satellite images from South Kordofan (South Sudan), which illustrates that our methods are applicable to both simulated and real-world data. Our approach provides a means of quantifying patterns that are frequently described using qualitative terminology, and could be used to classify vegetation patterns in large-scale satellite surveys of dryland ecosystems.