Advanced

The Latitudinal Diversity Gradient : Novel Understanding through Mechanistic Eco-evolutionary Models

Pontarp, Mikael LU ; Bunnefeld, Lynsey ; Cabral, Juliano Sarmento ; Etienne, Rampal S. ; Fritz, Susanne A. ; Gillespie, Rosemary ; Graham, Catherine H. ; Hagen, Oskar ; Hartig, Florian and Huang, Shan , et al. (2019) In Trends in Ecology and Evolution 34(3). p.211-223
Abstract

The latitudinal diversity gradient (LDG) is one of the most widely studied patterns in ecology, yet no consensus has been reached about its underlying causes. We argue that the reasons for this are the verbal nature of existing hypotheses, the failure to mechanistically link interacting ecological and evolutionary processes to the LDG, and the fact that empirical patterns are often consistent with multiple explanations. To address this issue, we synthesize current LDG hypotheses, uncovering their eco-evolutionary mechanisms, hidden assumptions, and commonalities. Furthermore, we propose mechanistic eco-evolutionary modeling and an inferential approach that makes use of geographic, phylogenetic, and trait-based patterns to assess the... (More)

The latitudinal diversity gradient (LDG) is one of the most widely studied patterns in ecology, yet no consensus has been reached about its underlying causes. We argue that the reasons for this are the verbal nature of existing hypotheses, the failure to mechanistically link interacting ecological and evolutionary processes to the LDG, and the fact that empirical patterns are often consistent with multiple explanations. To address this issue, we synthesize current LDG hypotheses, uncovering their eco-evolutionary mechanisms, hidden assumptions, and commonalities. Furthermore, we propose mechanistic eco-evolutionary modeling and an inferential approach that makes use of geographic, phylogenetic, and trait-based patterns to assess the relative importance of different processes for generating the LDG.

(Less)
Please use this url to cite or link to this publication:
author
, et al. (More)
(Less)
publishing date
type
Contribution to journal
publication status
published
keywords
biogeography, diversity patterns, ecology, evolution, macroecology, mechanistic modeling
in
Trends in Ecology and Evolution
volume
34
issue
3
pages
211 - 223
publisher
Elsevier
external identifiers
  • scopus:85058961693
  • pmid:30591209
ISSN
0169-5347
DOI
10.1016/j.tree.2018.11.009
language
English
LU publication?
no
id
30b54a48-6c23-4505-9302-012d65b8a61c
date added to LUP
2019-04-10 10:24:25
date last changed
2019-11-20 05:41:01
@article{30b54a48-6c23-4505-9302-012d65b8a61c,
  abstract     = {<p>The latitudinal diversity gradient (LDG) is one of the most widely studied patterns in ecology, yet no consensus has been reached about its underlying causes. We argue that the reasons for this are the verbal nature of existing hypotheses, the failure to mechanistically link interacting ecological and evolutionary processes to the LDG, and the fact that empirical patterns are often consistent with multiple explanations. To address this issue, we synthesize current LDG hypotheses, uncovering their eco-evolutionary mechanisms, hidden assumptions, and commonalities. Furthermore, we propose mechanistic eco-evolutionary modeling and an inferential approach that makes use of geographic, phylogenetic, and trait-based patterns to assess the relative importance of different processes for generating the LDG.</p>},
  author       = {Pontarp, Mikael and Bunnefeld, Lynsey and Cabral, Juliano Sarmento and Etienne, Rampal S. and Fritz, Susanne A. and Gillespie, Rosemary and Graham, Catherine H. and Hagen, Oskar and Hartig, Florian and Huang, Shan and Jansson, Roland and Maliet, Odile and Münkemüller, Tamara and Pellissier, Loïc and Rangel, Thiago F. and Storch, David and Wiegand, Thorsten and Hurlbert, Allen H.},
  issn         = {0169-5347},
  language     = {eng},
  month        = {03},
  number       = {3},
  pages        = {211--223},
  publisher    = {Elsevier},
  series       = {Trends in Ecology and Evolution},
  title        = {The Latitudinal Diversity Gradient : Novel Understanding through Mechanistic Eco-evolutionary Models},
  url          = {http://dx.doi.org/10.1016/j.tree.2018.11.009},
  doi          = {10.1016/j.tree.2018.11.009},
  volume       = {34},
  year         = {2019},
}