FN Archimer Export Format
PT J
TI Using a robust multi‐settings inference framework on published datasets still reveals limited support for the abundant centre hypothesis: More testing needed on other datasets
BT 
AF Chevalier, Mathieu
   Broennimann, Olivier
   Guisan, Antoine
   Schrodt, Franziska
AS 1:1,2;2:1,3;3:1,3;4:;
FF 1:PDG-ODE-DYNECO-LEBCO;2:;3:;4:;
C1 Department of Ecology and Evolution ,University of Lausanne Lausanne, Switzerland
   IFREMER, Centre de Bretagne DYNECO Laboratoire d’Ecologie Benthique Cotière (LEBCO) Plouzané ,France
   Institute of Earth Surface Dynamics ,University of Lausanne Lausanne, Switzerland
C2 UNIV LAUSANNE, SWITZERLAND
   IFREMER, FRANCE
   UNIV LAUSANNE, SWITZERLAND
SI BREST
SE PDG-ODE-DYNECO-LEBCO
IN WOS Ifremer UPR
   copubli-int-hors-europe
IF 6.909
TC 5
UR https://archimer.ifremer.fr/doc/00720/83186/88129.pdf
   https://archimer.ifremer.fr/doc/00720/83186/88130.tif
   https://archimer.ifremer.fr/doc/00720/83186/88131.tiff
   https://archimer.ifremer.fr/doc/00720/83186/88132.tiff
   https://archimer.ifremer.fr/doc/00720/83186/88133.tif
   https://archimer.ifremer.fr/doc/00720/83186/88134.tiff
   https://archimer.ifremer.fr/doc/00720/83186/88135.tiff
   https://archimer.ifremer.fr/doc/00720/83186/88136.tiff
   https://archimer.ifremer.fr/doc/00720/83186/88137.tiff
   https://archimer.ifremer.fr/doc/00720/83186/88138.tiff
   https://archimer.ifremer.fr/doc/00720/83186/88139.tiff
   https://archimer.ifremer.fr/doc/00720/83186/88140.tiff
   https://archimer.ifremer.fr/doc/00720/83186/88141.docx
LA English
DT Article
DE ;abundance;Bayesian inference;centroid;convex hull;distance;ellipsoids;kernel density;margins;mixed-effect models;nonlinearity
AB Aim The abundant centre hypothesis (ACH) predicts a negative relationship between species abundance and the distance to the geographical range centre. Since its formulation, empirical tests of the ACH have involved different settings (e.g. the distance to the ecological niche or to the geographical range centre), but studies found contrasting support for this hypothesis. Here, we evaluate whether these discrepancies might stem from differences regarding the context in which the ACH is tested (geographical or environmental), how distances are measured, how species envelopes are delineated, how the relationship is evaluated and which data are used. Location The Americas. Time period 1800–2017. Major taxa studied Mammals, birds, fish, and tree seedlings. Methods Using published abundance data for 801 species, together with species range maps, we tested the ACH using three distance metrics in both environmental and geographical spaces with range and niche envelopes delineated using two different algorithms, totalling 12 different settings. We then evaluated the distance–abundance relationship using correlation coefficients (traditional approach) and mixed-effect models to reduce the effect of sampling noise on parameter estimates. Results Similar to previous studies, correlation coefficients indicated an absence of effect of distance on abundance for all taxonomic groups and settings. In contrast, mixed-effect models highlighted relationships of various strengths and shapes, with a tendency for more theoretically supported settings to provide stronger support for the ACH. The relationships were however not consistent across taxonomic groups and settings, and were sometimes even opposite to ACH expectations. Main conclusions We found mixed and inconclusive results regarding the ACH. These results corroborate recent findings, and suggest either that our ability to predict abundances from the location of populations within geographical or environmental spaces is low, or that the data used here have a poor signal-to-noise-ratio. The latter calls for further testing on other datasets using the same range of settings and methodological framework. 
PY 2021
PD NOV
SO Global Ecology And Biogeography
SN 1466-822X
PU Wiley
VL 30
IS 11
UT 000690893000001
BP 2211
EP 2228
DI 10.1111/geb.13376
ID 83186
ER

EF