Publication
Title
A framework to bridge scales in distribution modeling of soil microbiota
Author
Abstract
Creating accurate habitat suitability and distribution models (HSDMs) for soil microbiota is far more challenging than for aboveground organism groups. In this perspective paper, we propose a conceptual framework that addresses several of the critical issues holding back further applications. Most importantly, we tackle the mismatch between the broadscale, long-term averages of environmental variables traditionally used, and the environment as experienced by soil microbiota themselves. We suggest using nested sampling designs across environmental gradients and objectively integrating spatially hierarchic heterogeneity as covariates in HSDMs. Second, to incorporate the crucial role of taxa co-occurrence as driver of soil microbial distributions, we promote the use of joint species distribution models, a class of models that jointly analyze multiple species’ distributions, quantifying both species-specific environmental responses (i.e. the environmental niche) and covariance among species (i.e. biotic interactions). Our approach allows incorporating the environmental niche and its associated distribution across multiple spatial scales. The proposed framework facilitates the inclusion of the true relationships between soil organisms and their abiotic and biotic environments in distribution models, which is crucial to improve predictions of soil microbial redistributions as a result of global change.
Language
English
Source (journal)
FEMS microbiology: ecology / Federation of European Microbiological Societies. - Amsterdam
Publication
Amsterdam : 2020
ISSN
0168-6496 [print]
1574-6941 [online]
DOI
10.1093/FEMSEC/FIAA051
Volume/pages
96 :5 (2020) , 9 p.
Article Reference
fiaa051
ISI
000537387400010
Pubmed ID
32196067
Medium
E-only publicatie
Full text (Publisher's DOI)
Full text (open access)
Full text (publisher's version - intranet only)
UAntwerpen
Faculty/Department
Research group
Project info
Advancing predictions of Species Distribution Models by incorporating local-scale abiotic and biotic drivers.
Global Ecosystem Functioning and Interactions with Global Change.
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identifier
Creation 30.04.2020
Last edited 02.01.2025
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