Literature DB >> 24951394

Better forecasts of range dynamics using genetic data.

Damien A Fordham1, Barry W Brook2, Craig Moritz3, David Nogués-Bravo4.   

Abstract

The spatiotemporal response of species to past global change must be understood for adaptive management and to make useful predictions. Characteristics of past population dynamics are imprinted in genes, yet these molecular 'log books' are just beginning to be used to improve forecasts of biotic responses to climate change. This is despite there now being robust quantitative frameworks to incorporate such information. A tighter integration of genetic data into models of species range dynamics should lead to more robust and validated predictions of the response of demographic and evolutionary processes to large-scale environmental change. The use of these multidisciplinary methods will help conservation scientists to better connect theory to the on-ground design and implementation of effective measures to protect biodiversity.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Keywords:  ancient DNA; climate change; extinction; metapopulation; phylogeography; quaternary; species distribution model; validation

Mesh:

Year:  2014        PMID: 24951394     DOI: 10.1016/j.tree.2014.05.007

Source DB:  PubMed          Journal:  Trends Ecol Evol        ISSN: 0169-5347            Impact factor:   17.712


  18 in total

1.  Genetic variation during range expansion: effects of habitat novelty and hybridization.

Authors:  Amanda A Pierce; Rafael Gutierrez; Amber M Rice; Karin S Pfennig
Journal:  Proc Biol Sci       Date:  2017-04-12       Impact factor: 5.349

2.  The antique genetic plight of the Mediterranean monk seal (Monachus monachus).

Authors:  Jordi Salmona; Julia Dayon; Emilie Lecompte; Alexandros A Karamanlidis; Alex Aguilar; Pablo Fernandez de Larrinoa; Rosa Pires; Giulia Mo; Aliki Panou; Sabrina Agnesi; Asunción Borrell; Erdem Danyer; Bayram Öztürk; Arda M Tonay; Anastasios K Anestis; Luis M González; Panagiotis Dendrinos; Philippe Gaubert
Journal:  Proc Biol Sci       Date:  2022-08-31       Impact factor: 5.530

3.  Downscaled and debiased climate simulations for North America from 21,000 years ago to 2100AD.

Authors:  David J Lorenz; Diego Nieto-Lugilde; Jessica L Blois; Matthew C Fitzpatrick; John W Williams
Journal:  Sci Data       Date:  2016-07-05       Impact factor: 6.444

Review 4.  Biological invasions, climate change and genomics.

Authors:  Steven L Chown; Kathryn A Hodgins; Philippa C Griffin; John G Oakeshott; Margaret Byrne; Ary A Hoffmann
Journal:  Evol Appl       Date:  2014-12-09       Impact factor: 5.183

5.  Mesocosms Reveal Ecological Surprises from Climate Change.

Authors:  Damien A Fordham
Journal:  PLoS Biol       Date:  2015-12-17       Impact factor: 8.029

6.  Bioclimatic transect networks: Powerful observatories of ecological change.

Authors:  Stefan Caddy-Retalic; Alan N Andersen; Michael J Aspinwall; Martin F Breed; Margaret Byrne; Matthew J Christmas; Ning Dong; Bradley J Evans; Damien A Fordham; Greg R Guerin; Ary A Hoffmann; Alice C Hughes; Stephen J van Leeuwen; Francesca A McInerney; Suzanne M Prober; Maurizio Rossetto; Paul D Rymer; Dorothy A Steane; Glenda M Wardle; Andrew J Lowe
Journal:  Ecol Evol       Date:  2017-05-19       Impact factor: 2.912

7.  The Quaternary evolutionary history, potential distribution dynamics, and conservation implications for a Qinghai-Tibet Plateau endemic herbaceous perennial, Anisodus tanguticus (Solanaceae).

Authors:  Dong-Shi Wan; Jian-Ju Feng; De-Chun Jiang; Kang-Shan Mao; Yuan-Wen Duan; Georg Miehe; Lars Opgenoorth
Journal:  Ecol Evol       Date:  2016-02-24       Impact factor: 2.912

8.  Where to Dig for Fossils: Combining Climate-Envelope, Taphonomy and Discovery Models.

Authors:  Sebastián Block; Frédérik Saltré; Marta Rodríguez-Rey; Damien A Fordham; Ingmar Unkel; Corey J A Bradshaw
Journal:  PLoS One       Date:  2016-03-30       Impact factor: 3.240

Review 9.  Hot topics in biodiversity and climate change research.

Authors:  Barry W Brook; Damien A Fordham
Journal:  F1000Res       Date:  2015-09-30

10.  Tackling intraspecific genetic structure in distribution models better reflects species geographical range.

Authors:  Arnald Marcer; Belén Méndez-Vigo; Carlos Alonso-Blanco; F Xavier Picó
Journal:  Ecol Evol       Date:  2016-02-26       Impact factor: 2.912

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