Literature DB >> 22456878

Disentangling effects of uncertainties on population projections: climate change impact on an epixylic bryophyte.

Alejandro Ruete1, Wei Yang, Lars Bärring, Nils Chr Stenseth, Tord Snäll.   

Abstract

Assessment of future ecosystem risks should account for the relevant uncertainty sources. This means accounting for the joint effects of climate variables and using modelling techniques that allow proper treatment of uncertainties. We investigate the influence of three of the IPCC's scenarios of greenhouse gas emissions (special report on emission scenarios (SRES)) on projections of the future abundance of a bryophyte model species. We also compare the relative importance of uncertainty sources on the population projections. The whole chain global climate model (GCM)-regional climate model-population dynamics model is addressed. The uncertainty depends on both natural- and model-related sources, in particular on GCM uncertainty. Ignoring the uncertainties gives an unwarranted impression of confidence in the results. The most likely population development of the bryophyte Buxbaumia viridis towards the end of this century is negative: even with a low-emission scenario, there is more than a 65 per cent risk for the population to be halved. The conclusion of a population decline is valid for all SRES scenarios investigated. Uncertainties are no longer an obstacle, but a mandatory aspect to include in the viability analysis of populations.

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Year:  2012        PMID: 22456878      PMCID: PMC3385486          DOI: 10.1098/rspb.2012.0428

Source DB:  PubMed          Journal:  Proc Biol Sci        ISSN: 0962-8452            Impact factor:   5.349


  6 in total

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Authors:  J S Clark; S R Carpenter; M Barber; S Collins; A Dobson; J A Foley; D M Lodge; M Pascual; R Pielke; W Pizer; C Pringle; W V Reid; K A Rose; O Sala; W H Schlesinger; D H Wall; D Wear
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Review 2.  Ensemble forecasting of species distributions.

Authors:  Miguel B Araújo; Mark New
Journal:  Trends Ecol Evol       Date:  2006-09-29       Impact factor: 17.712

3.  The use of the multi-model ensemble in probabilistic climate projections.

Authors:  Claudia Tebaldi; Reto Knutti
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2007-08-15       Impact factor: 4.226

4.  Longevity can buffer plant and animal populations against changing climatic variability.

Authors:  William F Morris; Catherine A Pfister; Shripad Tuljapurkar; Chirrakal V Haridas; Carol L Boggs; Mark S Boyce; Emilio M Bruna; Don R Church; Tim Coulson; Daniel F Doak; Stacey Forsyth; Jean-Michel Gaillard; Carol C Horvitz; Susan Kalisz; Bruce E Kendall; Tiffany M Knight; Charlotte T Lee; Eric S Menges
Journal:  Ecology       Date:  2008-01       Impact factor: 5.499

5.  Climate change threatens polar bear populations: a stochastic demographic analysis.

Authors:  Christine M Hunter; Hal Caswell; Michael C Runge; Eric V Regehr; Steve C Amstrup; Ian Stirling
Journal:  Ecology       Date:  2010-10       Impact factor: 5.499

Review 6.  Impacts of climate change on the future of biodiversity.

Authors:  Céline Bellard; Cleo Bertelsmeier; Paul Leadley; Wilfried Thuiller; Franck Courchamp
Journal:  Ecol Lett       Date:  2012-01-18       Impact factor: 9.492

  6 in total
  3 in total

1.  Partitioning prediction uncertainty in climate-dependent population models.

Authors:  Gilles Gauthier; Guillaume Péron; Jean-Dominique Lebreton; Patrick Grenier; Louise van Oudenhove
Journal:  Proc Biol Sci       Date:  2016-12-28       Impact factor: 5.349

2.  Biotic interactions in the face of climate change: a comparison of three modelling approaches.

Authors:  Anja Jaeschke; Torsten Bittner; Anke Jentsch; Björn Reineking; Helmut Schlumprecht; Carl Beierkuhnlein
Journal:  PLoS One       Date:  2012-12-06       Impact factor: 3.240

3.  Evaluating multiple historical climate products in ecological models under current and projected temperatures.

Authors:  Giancarlo Sadoti; Stephanie A McAfee; E Fleur Nicklen; Pamela J Sousanes; Carl A Roland
Journal:  Ecol Appl       Date:  2020-11-22       Impact factor: 4.657

  3 in total

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