RT Journal Article
T1 Assessing the nonlinear decay of community similarity: permutation and site-block resampling significance tests
A1 Martínez Santalla, Sara
A1 Martín Devasa, Ramiro María
A1 Gómez Rodríguez, Carola
A1 Crujeiras Casais, Rosa María
A1 Baselga Fraga, Andrés
K1 Beta diversity
K1 Distance-decay of similarity
K1 Mantel test
K1 Significance test
K1 Site-block resampling
K1 Spatial turnover
AB Modelling how community similarity decays with spatial distance is a key tool for the study of the processes behind community variation (beta diversity). Distance-decay models are computed from pairwise metrics (i.e. community similarity and spatial distance between localities) and hence suffer from pairwise dependence in the data, precluding the use of standard significance tests. Besides, distance-decay patterns are inherently nonlinear because similarity is bounded between 1 and 0. However, the only standard method to assess model significance under pairwise dependency is the Mantel test, which considers a linear model. To allow the use of nonlinear models in the assessment of distance-decay patterns, we introduce here a nonlinear significance test combining a pseudo-R2 statistic with either permutations or block-site resampling with replacement
PB Wiley
YR 2022
FD 2022
LK http://hdl.handle.net/10347/29233
UL http://hdl.handle.net/10347/29233
LA eng
NO Journal of Biogeography. 2022;49:968–978
NO We thank Xavier Picó, Christine Meynard, Simone Fattorini and two anonymous reviewers for insightful comments and suggestions to earlier versions of the manuscript. This research was supported by the Spanish Ministry of Science and Innovation and the European Regional Development Fund (ERDF) through grants CGL2016-76637-P and PID2020-112935GB-I00, PID2020-116587GB-I00 and a FPI scholarship to S.M.-S (BES-2017-081643). R.M.D. was supported by the Spanish Ministry of Education through a FPU scholarship (Ref.: FPU17/03016; Ministry of Education)
DS Minerva
RD 28 abr 2026