Literature DB >> 28348212

Climate change both facilitates and inhibits invasive plant ranges in New England.

Cory Merow1,2, Sarah Treanor Bois3, Jenica M Allen4, Yingying Xie5, John A Silander2.   

Abstract

Forecasting ecological responses to climate change, invasion, and their interaction must rely on understanding underlying mechanisms. However, such forecasts require extrapolation into new locations and environments. We linked demography and environment using experimental biogeography to forecast invasive and native species' potential ranges under present and future climate in New England, United States to overcome issues of extrapolation in novel environments. We studied two potentially nonequilibrium invasive plants' distributions, Alliaria petiolata (garlic mustard) and Berberis thunbergii (Japanese barberry), each paired with their native ecological analogs to better understand demographic drivers of invasions. Our models predict that climate change will considerably reduce establishment of a currently prolific invader (A. petiolata) throughout New England driven by poor demographic performance in warmer climates. In contrast, invasion of B. thunbergii will be facilitated because of higher growth and germination in warmer climates, with higher likelihood to establish farther north and in closed canopy habitats in the south. Invasion success is in high fecundity for both invasive species and demographic compensation for Apetiolata relative to native analogs. For A. petiolata, simulations suggest that eradication efforts would require unrealistic efficiency; hence, management should focus on inhibiting spread into colder, currently unoccupied areas, understanding source-sink dynamics, and understanding community dynamics should A. petiolata (which is allelopathic) decline. Our results-based on considerable differences with correlative occurrence models typically used for such biogeographic forecasts-suggest the urgency of incorporating mechanism into range forecasting and invasion management to understand how climate change may alter current invasion patterns.

Entities:  

Keywords:  Japanese barberry; demography; garlic mustard; integral projection model; species distribution model

Mesh:

Year:  2017        PMID: 28348212      PMCID: PMC5402445          DOI: 10.1073/pnas.1609633114

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


  19 in total

1.  Progress in invasion biology: predicting invaders.

Authors:  C S. Kolar; D M. Lodge
Journal:  Trends Ecol Evol       Date:  2001-04-01       Impact factor: 17.712

2.  Demographic compensation and tipping points in climate-induced range shifts.

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

3.  Combining mesocosm and field experiments to predict invasive plant performance: a hierarchical Bayesian approach.

Authors:  Chris H Wilson; T Trevor Caughlin; David J Civitello; S Luke Flory
Journal:  Ecology       Date:  2015-04       Impact factor: 5.499

4.  Biogeographic effects on early establishment of an invasive alien plant.

Authors:  Yan Sun; Heinz Müller-Schärer; John L Maron; Urs Schaffner
Journal:  Am J Bot       Date:  2015-04-06       Impact factor: 3.844

Review 5.  Mechanistic niche modelling: combining physiological and spatial data to predict species' ranges.

Authors:  Michael Kearney; Warren Porter
Journal:  Ecol Lett       Date:  2009-04       Impact factor: 9.492

6.  Hierarchical models facilitate spatial analysis of large data sets: a case study on invasive plant species in the northeastern United States.

Authors:  A M Latimer; S Banerjee; H Sang; E S Mosher; J A Silander
Journal:  Ecol Lett       Date:  2009-02       Impact factor: 9.492

Review 7.  Predicting plant invasions in an era of global change.

Authors:  Bethany A Bradley; Dana M Blumenthal; David S Wilcove; Lewis H Ziska
Journal:  Trends Ecol Evol       Date:  2010-01-25       Impact factor: 17.712

8.  Ability of matrix models to explain the past and predict the future of plant populations.

Authors:  Elizabeth E Crone; Martha M Ellis; William F Morris; Amanda Stanley; Timothy Bell; Paulette Bierzychudek; Johan Ehrlén; Thomas N Kaye; Tiffany M Knight; Peter Lesica; Gerard Oostermeijer; Pedro F Quintana-Ascencio; Tamara Ticktin; Teresa Valverde; Jennifer L Williams; Daniel F Doak; Rengaian Ganesan; Kathyrn McEachern; Andrea S Thorpe; Eric S Menges
Journal:  Conserv Biol       Date:  2013-04-08       Impact factor: 6.560

9.  Integrated assessment of biological invasions.

Authors:  Ines Ibáñez; Jeffrey M Diez; Luke P Miller; Julian D Olden; Cascade J B Sorte; Dana M Blumenthal; Bethany A Bradley; Carla M D'Antonio; Jeffrey S Dukes; Regan I Early; Edwin D Grosholz; Joshua J Lawler
Journal:  Ecol Appl       Date:  2014-01       Impact factor: 4.657

10.  Does probability of occurrence relate to population dynamics?

Authors:  Wilfried Thuiller; Tamara Münkemüller; Katja H Schiffers; Damien Georges; Stefan Dullinger; Vincent M Eckhart; Thomas C Edwards; Dominique Gravel; Georges Kunstler; Cory Merow; Kara Moore; Christian Piedallu; Steve Vissault; Niklaus E Zimmermann; Damaris Zurell; Frank M Schurr
Journal:  Ecography       Date:  2014-12-01       Impact factor: 5.992

View more
  13 in total

Review 1.  Developmental Plasticity at High Temperature.

Authors:  Lam Dai Vu; Xiangyu Xu; Kris Gevaert; Ive De Smet
Journal:  Plant Physiol       Date:  2019-07-30       Impact factor: 8.340

2.  Tree diversity regulates forest pest invasion.

Authors:  Qinfeng Guo; Songlin Fei; Kevin M Potter; Andrew M Liebhold; Jun Wen
Journal:  Proc Natl Acad Sci U S A       Date:  2019-03-25       Impact factor: 11.205

3.  What processes must we understand to forecast regional-scale population dynamics?

Authors:  Jesse R Lasky; Mevin B Hooten; Peter B Adler
Journal:  Proc Biol Sci       Date:  2020-12-09       Impact factor: 5.349

4.  Predicting invasion winners and losers under climate change.

Authors:  Yvonne M Buckley; Anna M Csergő
Journal:  Proc Natl Acad Sci U S A       Date:  2017-04-04       Impact factor: 11.205

5.  Science-based approach to using growth rate to assess coral performance and restoration outcomes.

Authors:  Peter J Edmunds; Hollie M Putnam
Journal:  Biol Lett       Date:  2020-07-15       Impact factor: 3.703

6.  Where Is Garlic Mustard? Understanding the Ecological Context for Invasions of Alliaria petiolata.

Authors:  Vikki L Rodgers; Sara E Scanga; Mary Beth Kolozsvary; Danielle E Garneau; Jason S Kilgore; Laurel J Anderson; Kristine N Hopfensperger; Anna G Aguilera; Rebecca A Urban; Kevyn J Juneau
Journal:  Bioscience       Date:  2022-03-30       Impact factor: 11.566

7.  Inferring forest fate from demographic data: from vital rates to population dynamic models.

Authors:  Jessica Needham; Cory Merow; Chia-Hao Chang-Yang; Hal Caswell; Sean M McMahon
Journal:  Proc Biol Sci       Date:  2018-03-14       Impact factor: 5.349

8.  Coverage of Native Plants Is Key Factor Influencing the Invasibility of Freshwater Ecosystems by Exotic Plants in China.

Authors:  Haihao Yu; Ligong Wang; Chunhua Liu; Shufeng Fan
Journal:  Front Plant Sci       Date:  2018-02-28       Impact factor: 5.753

9.  Effects of Eutrophication and Different Water Levels on Overwintering of Eichhornia crassipes at the Northern Margin of Its Distribution in China.

Authors:  Haihao Yu; Xianru Dong; Dan Yu; Chunhua Liu; Shufeng Fan
Journal:  Front Plant Sci       Date:  2019-10-04       Impact factor: 5.753

10.  Fundamental niche unfilling and potential invasion risk of the slider turtle Trachemys scripta.

Authors:  Sayra Espindola; Juan L Parra; Ella Vázquez-Domínguez
Journal:  PeerJ       Date:  2019-10-17       Impact factor: 2.984

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.