Keyword search (3,448 papers available)


Evaluating the correlation between genome-wide diversity and the release of plastic phenotypic variation in experimental translocations to novel natural environments.

Author(s): Yates MC, Fraser DJ

Phenotypic reaction norms are often shaped and constrained by selection and are important for allowing organisms to respond to environmental change. However, selection cannot constrain reaction norms for environmental conditions that populations have not ex...

Article GUID: 33274531

Size reductions and genomic changes within two generations in wild walleye populations: associated with harvest?

Author(s): Bowles E, Marin K, Mogensen S, MacLeod P, Fraser DJ

Evol Appl. 2020 Jul;13(6):1128-1144 Authors: Bowles E, Marin K, Mogensen S, MacLeod P, Fraser DJ

Article GUID: 32684951

The relationship between eDNA particle concentration and organism abundance in nature is strengthened by allometric scaling.

Author(s): Yates MC, Glaser D, Post J, Cristescu ME, Fraser DJ, Derry AM

Mol Ecol. 2020 Jul 07;: Authors: Yates MC, Glaser D, Post J, Cristescu ME, Fraser DJ, Derry AM

Article GUID: 32638451

Small population size and low genomic diversity have no effect on fitness in experimental translocations of a wild fish.

Author(s): Yates MC, Bowles E, Fraser DJ

Proc Biol Sci. 2019 Dec 04;286(1916):20191989 Authors: Yates MC, Bowles E, Fraser DJ

Article GUID: 31771476

Population variation in density-dependent growth, mortality and their trade-off in a stream fish.

Author(s): Matte JM, Fraser DJ, Grant JWA

J Anim Ecol. 2019 Oct 23;: Authors: Matte JM, Fraser DJ, Grant JWA

Article GUID: 31642512

Causes of maladaptation.

Author(s): Brady SP, Bolnick DI, Angert AL, Gonzalez A, Barrett RDH, Crispo E, Derry AM, Eckert CG, Fraser DJ, Fussmann GF, Guichard F, Lamy T, McAdam ...

Evol Appl. 2019 Aug;12(7):1229-1242 Authors: Brady SP, Bolnick DI, Angert AL, Gonzalez A, Barrett RDH, Crispo E, Derry AM, Eckert CG, Fraser DJ, Fussmann GF, Guichard F, Lamy T, McAdam AG, Newman ...

Article GUID: 31417611

Conservation through the lens of (mal)adaptation: Concepts and meta-analysis.

Author(s): Derry AM, Fraser DJ, Brady SP, Astorg L, Lawrence ER, Martin GK, Matte JM, Negrín Dastis JO, Paccard A, Barrett RDH, Chapman LJ, Lane JE, Ba...

Evol Appl. 2019 Aug;12(7):1287-1304 Authors: Derry AM, Fraser DJ, Brady SP, Astorg L, Lawrence ER, Martin GK, Matte JM, Negrín Dastis JO, Paccard A, Barrett RDH, Chapman LJ, Lane JE, Ballas C...

Article GUID: 31417615

A critical assessment of estimating census population size from genetic population size (or vice versa) in three fishes.

Author(s): Yates MC, Bernos TA, Fraser DJ

Evol Appl. 2017 10;10(9):935-945 Authors: Yates MC, Bernos TA, Fraser DJ

Article GUID: 29151884

Genetic diversity of small populations: Not always "doom and gloom"?

Author(s): Fraser DJ

Mol Ecol. 2017 12;26(23):6499-6501 Authors: Fraser DJ

Article GUID: 29243868

Evaluating a 5-year metal contamination remediation and the biomonitoring potential of a freshwater gastropod along the Xiangjiang River, China.

Author(s): Li D, Pi J, Zhang T, Tan X, Fraser DJ

Environ Sci Pollut Res Int. 2018 Jul;25(21):21127-21137 Authors: Li D, Pi J, Zhang T, Tan X, Fraser DJ

Article GUID: 29770938

Geo-referenced population-specific microsatellite data across American continents, the MacroPopGen Database.

Author(s): Lawrence ER, Benavente JN, Matte JM, Marin K, Wells ZRR, Bernos TA, Krasteva N, Habrich A, Nessel GA, Koumrouyan RA, Fraser DJ

Sci Data. 2019 04 03;6(1):14 Authors: Lawrence ER, Benavente JN, Matte JM, Marin K, Wells ZRR, Bernos TA, Krasteva N, Habrich A, Nessel GA, Koumrouyan RA, Fraser DJ

Article GUID: 30944329


Title:Conservation through the lens of (mal)adaptation: Concepts and meta-analysis.
Authors:Derry AMFraser DJBrady SPAstorg LLawrence ERMartin GKMatte JMNegrín Dastis JOPaccard ABarrett RDHChapman LJLane JEBallas CGClose MCrispo E
Link:https://www.ncbi.nlm.nih.gov/pubmed/31417615?dopt=Abstract
DOI:10.1111/eva.12791
Category:Evol Appl
PMID:31417615
Dept Affiliation: BIOLOGY
1 Département des sciences biologiques Université du Québec à Montréal Montreal Quebec Canada.
2 Quebec Center for Biodiversity Science Montreal Quebec Canada.
3 Biology Department Concordia University Montreal Quebec Canada.
4 Biology Department Southern Connecticut State University New Haven Connecticut.
5 Redpath Museum and Department of Biology McGill University Montreal Quebec Canada.
6 Department of Biology University of Saskatchewan Saskatoon Saskatchewan Canada.
7 Department of Biology Pace University New York New York.

Description:

Conservation through the lens of (mal)adaptation: Concepts and meta-analysis.

Evol Appl. 2019 Aug;12(7):1287-1304

Authors: Derry AM, Fraser DJ, Brady SP, Astorg L, Lawrence ER, Martin GK, Matte JM, Negrín Dastis JO, Paccard A, Barrett RDH, Chapman LJ, Lane JE, Ballas CG, Close M, Crispo E

Abstract

Evolutionary approaches are gaining popularity in conservation science, with diverse strategies applied in efforts to support adaptive population outcomes. Yet conservation strategies differ in the type of adaptive outcomes they promote as conservation goals. For instance, strategies based on genetic or demographic rescue implicitly target adaptive population states whereas strategies utilizing transgenerational plasticity or evolutionary rescue implicitly target adaptive processes. These two goals are somewhat polar: adaptive state strategies optimize current population fitness, which should reduce phenotypic and/or genetic variance, reducing adaptability in changing or uncertain environments; adaptive process strategies increase genetic variance, causing maladaptation in the short term, but increase adaptability over the long term. Maladaptation refers to suboptimal population fitness, adaptation refers to optimal population fitness, and (mal)adaptation refers to the continuum of fitness variation from maladaptation to adaptation. Here, we present a conceptual classification for conservation that implicitly considers (mal)adaptation in the short-term and long-term outcomes of conservation strategies. We describe cases of how (mal)adaptation is implicated in traditional conservation strategies, as well as strategies that have potential as a conservation tool but are relatively underutilized. We use a meta-analysis of a small number of available studies to evaluate whether the different conservation strategies employed are better suited toward increasing population fitness across multiple generations. We found weakly increasing adaptation over time for transgenerational plasticity, genetic rescue, and evolutionary rescue. Demographic rescue was generally maladaptive, both immediately after conservation intervention and after several generations. Interspecific hybridization was adaptive only in the F1 generation, but then rapidly leads to maladaptation. Management decisions that are made to support the process of adaptation must adequately account for (mal)adaptation as a potential outcome and even as a tool to bolster adaptive capacity to changing conditions.

PMID: 31417615 [PubMed]