Data from: A morphometric analysis of vegetation patterns in dryland ecosystems
收藏DataCite Commons2025-04-01 更新2025-04-09 收录
下载链接:
https://datadryad.org/dataset/doi:10.5061/dryad.5d19r
下载链接
链接失效反馈官方服务:
资源简介:
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.
提供机构:
Dryad
创建时间:
2017-01-22



