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Trajectory analysis in community
ecology
De Cáceres, Miquel ; Coll, Lluís ; Legendre, Pierre ; Allen, Robert B. ; Wiser, Susan K. ; Fortin, Marie-Josée ; Condit, Richard ; Hubbell, Stephen
Ecological monographs, 2019-05, Vol.89 (2), p.1-20
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題名:
Trajectory analysis in community
ecology
著者:
De Cáceres, Miquel
;
Coll, Lluís
;
Legendre, Pierre
;
Allen, Robert B.
;
Wiser, Susan K.
;
Fortin, Marie-Josée
;
Condit, Richard
;
Hubbell, Stephen
主題:
beta diversity
;
Communities
;
community dynamics
;
dissimilarity
;
distance matrices
;
Dynamics
;
Ecological monitoring
;
forest dynamics
;
Particle size distribution
;
Size distribution
;
Spatial analysis
;
Species composition
;
stand size structure
;
Trajectory analysis
;
trajectory data mining
所屬期刊:
Ecological monographs, 2019-05, Vol.89 (2), p.1-20
描述:
Ecologists have long been interested in how communities change over time. Addressing questions about community dynamics requires ways of representing and comparing the variety of dynamics observed across space. Until now, most analytical frameworks have been based on the comparison of synchronous observations across sites and between repeated surveys. An alternative perspective considers community dynamics as trajectories in a chosen space of community resemblance and utilizes trajectories as objects to be analyzed and compared using their geometry. While methods that take this second perspective exist, for example to test for particular trajectory shapes, there is a need for formal analytical frameworks that fully develop the potential of this approach. By adapting
concepts
and procedures used for the analysis of spatial trajectories, we present a framework for describing and comparing community trajectories. A key element of our contribution is the means to assess the geometric resemblance between trajectories, which allows users to describe, quantify, and analyze variation in community dynamics. We illustrate the behavior of our framework using simulated data and two spatiotemporal community data sets differing in the community properties of interest (species composition vs. size distribution of individuals). We conclude by evaluating the advantages and limitations of our community trajectory analysis framework, highlighting its broad domain of application and anticipating potential extensions.
出版者:
Durham: John Wiley and Sons, Inc
語言:
英文
識別號:
ISSN: 0012-9615
EISSN: 1557-7015
DOI: 10.1002/ecm.1350
資源來源:
Wiley Online Library All Journals
Wiley Online Library Full Collection 2020
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