Spatial point-pattern analysis as a powerful tool in identifying pattern-process relationships in plant ecology: an updated review
作者机构：Applied Biology and Pathology LaboratoryDepartment of BiologyFaculty of SciencesAbdelmalek Essaadi UniversityTetouanMorocco
出 版 物：《Ecological Processes》 (生态过程（英文）)
年 卷 期：2021年第10卷第1期
页 面：772-794页
核心收录：
学科分类：0710[理学-生物学] 0830[工学-环境科学与工程（可授工学、理学、农学学位）] 07[理学] 0815[工学-水利工程] 0713[理学-生态学]
基 金：Aicha El Baaboua Fadoua Asraoui Farida Berrad
主 题：Spatial analysis Point-pattern Summary statistics Second-order characteristics Spatial structure Species interactions Competition Facilitation Positive association Negative association
摘 要：Background:Ecological processes such as seedling establishment,biotic interactions,and mortality can leave footprints on species spatial structure that can be detectable through spatial point-pattern analysis(SPPA).Being widely used in plant ecology,SPPA is increasingly carried out to describe biotic interactions and interpret patternprocess ***,some aspects are still subjected to a non-negligible debate such as required sample size(in terms of the number of points and plot area),the link between the low number of points and frequently observed random(or independent)patterns,and relating patterns to *** this paper,an overview of SPPA is given based on rich and updated literature providing guidance for ecologists(especially beginners)on summary statistics,uni-/bi-/multivariate analysis,unmarked/marked analysis,types of marks,*** ambiguities in SPPA are also ***:SPPA has a long history in plant ecology and is based on a large set of summary statistics aiming to describe species spatial *** mechanisms known to be responsible for species spatial patterns are actually investigated in different biomes and for different *** processes,plant environmental conditions,and human intervention are interrelated and are key drivers of plant spatial *** spite of being not recommended,small sample sizes are more common in *** some areas,periodic forest inventories and permanent plots are scarce although they are key tools for spatial data availability and plant dynamic ***:The spatial position of plants is an interesting source of information that helps to make hypotheses about processes responsible for plant spatial *** the continuous progress of SPPA,some ambiguities require further clarifications.
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