.png){kind=icon}
Return
Analysing changes in spatial point patterns: A proposal using data from a forest thinning experiment
.png){kind=icon}
OA
AI
DOI：10.1016/j.fecs.2022.100081.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Spatial patterns reveal critical features at the individual and community levels. However, how to evaluate changes in spatial characteristics remains largely unexplored. We assess spatial changes in spatial point patterns by augmenting current statistical functions and indices. We fitted functions to describe unmarked and marked (tree size) spatial patterns using data from a large-scale silvicultural experiment in southern Chile. Furthermore, we compute the mingling index to represent spatial tree diversity. We proffer the pair correlation function difference before and after treatment to detect changes in the unmarked-point pattern of trees and the semivariogram-ratio to evaluate changes in the marked-point pattern. Our research provides a quantitative assessment of a critical aspect of forest heterogeneity: changes in spatial unmarked and marked-point patterns. The proposed approach can be a powerful tool for quantifying the impacts of disturbances and silvicultural treatments on spatial patterns in forest ecosystems.
Keywords:
Spatial diversity
Marked-point process
Spatial heterogeneity
Conspeci fic
Variable-density thinning
Nothofagus
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
4.4
Papers:
704
Citations:
2.4K
Organization
Cited Papers
ShareSaveShareSaveBiocomplexity and restoration of biodiversity in temperate coniferous forest: inducing spatial heterogeneity with variable-density thinning.png)
FORESTRYOAAI
FORESTRYIF3.2
OAAIShareSaveFunctional Effect of Polymorphisms in the Promoter of TNFAIP3 (A20) in Acute Pancreatitis in the Han Chinese PopulationPLoS ONEOAAI
PLoS ONEIF0
OAAIShareSaveShareSave
View more