Literature DB >> 26950650

Biodiversity scenarios neglect future land-use changes.

Nicolas Titeux1,2,3, Klaus Henle4, Jean-Baptiste Mihoub4,5, Adrián Regos1,3, Ilse R Geijzendorffer6, Wolfgang Cramer6, Peter H Verburg7, Lluís Brotons1,3,8.   

Abstract

Efficient management of biodiversity requires a forward-looking approach based on scenarios that explore biodiversity changes under future environmental conditions. A number of ecological models have been proposed over the last decades to develop these biodiversity scenarios. Novel modelling approaches with strong theoretical foundation now offer the possibility to integrate key ecological and evolutionary processes that shape species distribution and community structure. Although biodiversity is affected by multiple threats, most studies addressing the effects of future environmental changes on biodiversity focus on a single threat only. We examined the studies published during the last 25 years that developed scenarios to predict future biodiversity changes based on climate, land-use and land-cover change projections. We found that biodiversity scenarios mostly focus on the future impacts of climate change and largely neglect changes in land use and land cover. The emphasis on climate change impacts has increased over time and has now reached a maximum. Yet, the direct destruction and degradation of habitats through land-use and land-cover changes are among the most significant and immediate threats to biodiversity. We argue that the current state of integration between ecological and land system sciences is leading to biased estimation of actual risks and therefore constrains the implementation of forward-looking policy responses to biodiversity decline. We suggest research directions at the crossroads between ecological and environmental sciences to face the challenge of developing interoperable and plausible projections of future environmental changes and to anticipate the full range of their potential impacts on biodiversity. An intergovernmental platform is needed to stimulate such collaborative research efforts and to emphasize the societal and political relevance of taking up this challenge.
© 2016 John Wiley & Sons Ltd.

Keywords:  biodiversity projections; climate change; ecological forecasting; land system science; land-cover change; predictive models; species distribution models; storylines

Mesh:

Year:  2016        PMID: 26950650     DOI: 10.1111/gcb.13272

Source DB:  PubMed          Journal:  Glob Chang Biol        ISSN: 1354-1013            Impact factor:   10.863


  21 in total

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2.  Maximising the clustering coefficient of networks and the effects on habitat network robustness.

Authors:  Henriette Heer; Lucas Streib; Ralf B Schäfer; Stefan Ruzika
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3.  Differentiating the effects of climate and land use change on European biodiversity: A scenario analysis.

Authors:  Jan E Vermaat; Fritz A Hellmann; Astrid J A van Teeffelen; Jelle van Minnen; Rob Alkemade; Regula Billeter; Carl Beierkuhnlein; Luigi Boitani; Mar Cabeza; Christian K Feld; Brian Huntley; James Paterson; Michiel F WallisDeVries
Journal:  Ambio       Date:  2016-11-01       Impact factor: 5.129

4.  Forecasting the combined effects of future climate and land use change on the suitable habitat of Davidia involucrata Baill.

Authors:  Junfeng Tang; Xuzhe Zhao
Journal:  Ecol Evol       Date:  2022-06-17       Impact factor: 3.167

5.  Addressing risks to biodiversity arising from a changing climate: The need for ecosystem restoration in the Tana River Basin, Kenya.

Authors:  Rhosanna L M Jenkins; Rachel F Warren; Jeff T Price
Journal:  PLoS One       Date:  2021-07-21       Impact factor: 3.240

6.  Standardised arthropod (Arthropoda) inventory across natural and anthropogenic impacted habitats in the Azores archipelago.

Authors:  José Marcelino; Paulo A V Borges; Isabel Borges; Enésima Pereira; Vasco Santos; António Onofre Soares
Journal:  Biodivers Data J       Date:  2021-03-10

7.  Prediction of biodiversity hotspots in the Anthropocene: The case of veteran oaks.

Authors:  Olav Skarpaas; Stefan Blumentrath; Marianne Evju; Anne Sverdrup-Thygeson
Journal:  Ecol Evol       Date:  2017-08-31       Impact factor: 2.912

8.  Climate, soil or both? Which variables are better predictors of the distributions of Australian shrub species?

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Journal:  PeerJ       Date:  2017-06-22       Impact factor: 2.984

9.  Future effects of climate and land-use change on terrestrial vertebrate community diversity under different scenarios.

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Journal:  Proc Biol Sci       Date:  2018-06-27       Impact factor: 5.349

10.  The Influence of Forests on Freshwater Fish in the Tropics: A Systematic Review.

Authors:  Michaela Lo; James Reed; Leandro Castello; E Ashley Steel; Emmanuel A Frimpong; Amy Ickowitz
Journal:  Bioscience       Date:  2020-04-01       Impact factor: 8.589

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