Literature DB >> 29463711

Demographic compensation does not rescue populations at a trailing range edge.

Seema Nayan Sheth1,2,3,4, Amy Lauren Angert5,2,6,7.   

Abstract

Species' geographic ranges and climatic niches are likely to be increasingly mismatched due to rapid climate change. If a species' range and niche are out of equilibrium, then population performance should decrease from high-latitude "leading" range edges, where populations are expanding into recently ameliorated habitats, to low-latitude "trailing" range edges, where populations are contracting from newly unsuitable areas. Demographic compensation is a phenomenon whereby declines in some vital rates are offset by increases in others across time or space. In theory, demographic compensation could increase the range of environments over which populations can succeed and forestall range contraction at trailing edges. An outstanding question is whether range limits and range contractions reflect inadequate demographic compensation across environmental gradients, causing population declines at range edges. We collected demographic data from 32 populations of the scarlet monkeyflower (Erythranthe cardinalis) spanning 11° of latitude in western North America and used integral projection models to evaluate population dynamics and assess demographic compensation across the species' range. During the 5-y study period, which included multiple years of severe drought and warming, population growth rates decreased from north to south, consistent with leading-trailing dynamics. Southern populations at the trailing range edge declined due to reduced survival, growth, and recruitment, despite compensatory increases in reproduction and faster life-history characteristics. These results suggest that demographic compensation may only delay population collapse without the return of more favorable conditions or the contribution of other buffering mechanisms such as evolutionary rescue.

Entities:  

Keywords:  integral projection model; latitudinal gradient; life table response experiment; range limit; vital rate

Mesh:

Year:  2018        PMID: 29463711      PMCID: PMC5878003          DOI: 10.1073/pnas.1715899115

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  20 in total

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Authors:  L C COLE
Journal:  Q Rev Biol       Date:  1954-06       Impact factor: 4.875

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Authors:  Daniel F Doak; William F Morris
Journal:  Nature       Date:  2010-10-21       Impact factor: 49.962

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Journal:  Proc Natl Acad Sci U S A       Date:  2015-12-22       Impact factor: 11.205

5.  Experimental studies of adaptation in Clarkia xantiana. II. Fitness variation across a subspecies border.

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Journal:  Evolution       Date:  2005-03       Impact factor: 3.694

6.  Ecology. Extinction risks from climate change.

Authors:  Janneke Hille Ris Lambers
Journal:  Science       Date:  2015-04-30       Impact factor: 47.728

7.  Avoiding unintentional eviction from integral projection models.

Authors:  Jennifer L Williams; Tom E X Miller; Stephen P Ellner
Journal:  Ecology       Date:  2012-09       Impact factor: 5.499

Review 8.  A synthesis of transplant experiments and ecological niche models suggests that range limits are often niche limits.

Authors:  Julie A Lee-Yaw; Heather M Kharouba; Megan Bontrager; Colin Mahony; Anna Mária Csergő; Annika M E Noreen; Qin Li; Richard Schuster; Amy L Angert
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9.  Grow with the flow: a latitudinal cline in physiology is associated with more variable precipitation in Erythranthe cardinalis.

Authors:  C D Muir; A L Angert
Journal:  J Evol Biol       Date:  2017-10-20       Impact factor: 2.411

10.  Building integral projection models: a user's guide.

Authors:  Mark Rees; Dylan Z Childs; Stephen P Ellner
Journal:  J Anim Ecol       Date:  2014-01-20       Impact factor: 5.091

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  14 in total

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Authors:  Diane R Campbell
Journal:  Proc Natl Acad Sci U S A       Date:  2019-06-10       Impact factor: 11.205

2.  Plant adaptation to climate change - Where are we?

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Journal:  J Syst Evol       Date:  2020-06-18       Impact factor: 4.098

3.  Complex hydroperiod induced carryover responses for survival, growth, and endurance of a pond-breeding amphibian.

Authors:  Cassandra M Thompson; Viorel D Popescu
Journal:  Oecologia       Date:  2021-02-26       Impact factor: 3.225

4.  Spatial variation in high temperature-regulated gene expression predicts evolution of plasticity with climate change in the scarlet monkeyflower.

Authors:  Jill C Preston; Rachel Wooliver; Heather Driscoll; Aeran Coughlin; Seema N Sheth
Journal:  Mol Ecol       Date:  2021-12-12       Impact factor: 6.185

5.  A resurrection study reveals limited evolution of phenology in response to recent climate change across the geographic range of the scarlet monkeyflower.

Authors:  Emma E Vtipil; Seema Nayan Sheth
Journal:  Ecol Evol       Date:  2020-11-13       Impact factor: 2.912

6.  Regional differences in rapid evolution during severe drought.

Authors:  Daniel N Anstett; Haley A Branch; Amy L Angert
Journal:  Evol Lett       Date:  2021-02-23

7.  Mosaics of climatic stress across species' ranges: tradeoffs cause adaptive evolution to limits of climatic tolerance.

Authors:  Camille Parmesan; Michael C Singer
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2022-02-21       Impact factor: 6.237

8.  Tracing the footprints of a moving hybrid zone under a demographic history of speciation with gene flow.

Authors:  Mitra Menon; Erin Landguth; Alejandro Leal-Saenz; Justin C Bagley; Anna W Schoettle; Christian Wehenkel; Lluvia Flores-Renteria; Samuel A Cushman; Kristen M Waring; Andrew J Eckert
Journal:  Evol Appl       Date:  2019-04-29       Impact factor: 5.183

9.  Ancient and recent introgression shape the evolutionary history of pollinator adaptation and speciation in a model monkeyflower radiation (Mimulus section Erythranthe).

Authors:  Thomas C Nelson; Angela M Stathos; Daniel D Vanderpool; Findley R Finseth; Yao-Wu Yuan; Lila Fishman
Journal:  PLoS Genet       Date:  2021-02-22       Impact factor: 5.917

10.  Latitudinal gradients in population growth do not reflect demographic responses to climate.

Authors:  Megan L DeMarche; Graham Bailes; Lauren B Hendricks; Laurel Pfeifer-Meister; Paul B Reed; Scott D Bridgham; Bart R Johnson; Robert Shriver; Ellen Waddle; Hannah Wroton; Daniel F Doak; Bitty A Roy; William F Morris
Journal:  Ecol Appl       Date:  2021-01-18       Impact factor: 6.105

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