Literature DB >> 26991445

Toward quantification of the impact of 21st-century deforestation on the extinction risk of terrestrial vertebrates.

Łukasz Tracewski1,2, Stuart H M Butchart3, Moreno Di Marco4,5, Gentile F Ficetola6,7, Carlo Rondinini8, Andy Symes3, Hannah Wheatley3, Alison E Beresford1, Graeme M Buchanan9.   

Abstract

Conservation actions need to be prioritized, often taking into account species' extinction risk. The International Union for Conservation of Nature (IUCN) Red List provides an accepted, objective framework for the assessment of extinction risk. Assessments based on data collected in the field are the best option, but the field data to base these on are often limited. Information collected through remote sensing can be used in place of field data to inform assessments. Forests are perhaps the best-studied land-cover type for use of remote-sensing data. Using an open-access 30-m resolution map of tree cover and its change between 2000 and 2012, we assessed the extent of forest cover and loss within the distributions of 11,186 forest-dependent amphibians, birds, and mammals worldwide. For 16 species, forest loss resulted in an elevated extinction risk under red-list criterion A, owing to inferred rapid population declines. This number increased to 23 when data-deficient species (i.e., those with insufficient information for evaluation) were included. Under red-list criterion B2, 484 species (855 when data-deficient species were included) were considered at elevated extinction risk, owing to restricted areas of occupancy resulting from little forest cover remaining within their ranges. The proportion of species of conservation concern would increase by 32.8% for amphibians, 15.1% for birds, and 24.7% for mammals if our suggested uplistings are accepted. Central America, the Northern Andes, Madagascar, the Eastern Arc forests in Africa, and the islands of Southeast Asia are hotspots for these species. Our results illustrate the utility of satellite imagery for global extinction-risk assessment and measurement of progress toward international environmental agreement targets.
© 2016 Society for Conservation Biology.

Entities:  

Keywords:  IUCN Red List; Lista Roja UICN; conservación de especies; conservation prioritization; forest loss; habitat loss; priorización de la conservación; pérdida de bosques; pérdida de hábitat; remote sensing; species conservation; teledetección

Mesh:

Year:  2016        PMID: 26991445     DOI: 10.1111/cobi.12715

Source DB:  PubMed          Journal:  Conserv Biol        ISSN: 0888-8892            Impact factor:   6.560


  9 in total

1.  Global forest loss disproportionately erodes biodiversity in intact landscapes.

Authors:  Matthew G Betts; Christopher Wolf; William J Ripple; Ben Phalan; Kimberley A Millers; Adam Duarte; Stuart H M Butchart; Taal Levi
Journal:  Nature       Date:  2017-07-19       Impact factor: 49.962

2.  Quantification of habitat fragmentation reveals extinction risk in terrestrial mammals.

Authors:  Kevin R Crooks; Christopher L Burdett; David M Theobald; Sarah R B King; Moreno Di Marco; Carlo Rondinini; Luigi Boitani
Journal:  Proc Natl Acad Sci U S A       Date:  2017-07-03       Impact factor: 11.205

3.  Reptile research shows new avenues and old challenges for extinction risk modelling.

Authors:  Moreno Di Marco
Journal:  PLoS Biol       Date:  2022-07-11       Impact factor: 9.593

4.  Changes in human footprint drive changes in species extinction risk.

Authors:  Moreno Di Marco; Oscar Venter; Hugh P Possingham; James E M Watson
Journal:  Nat Commun       Date:  2018-11-05       Impact factor: 14.919

5.  Applying habitat and population-density models to land-cover time series to inform IUCN Red List assessments.

Authors:  Luca Santini; Stuart H M Butchart; Carlo Rondinini; Ana Benítez-López; Jelle P Hilbers; Aafke M Schipper; Mirza Cengic; Joseph A Tobias; Mark A J Huijbregts
Journal:  Conserv Biol       Date:  2019-02-25       Impact factor: 6.560

6.  Projecting range-wide sun bear population trends using tree cover and camera-trap bycatch data.

Authors:  Lorraine Scotson; Gabriella Fredriksson; Dusit Ngoprasert; Wai-Ming Wong; John Fieberg
Journal:  PLoS One       Date:  2017-09-29       Impact factor: 3.240

7.  Incorporating explicit geospatial data shows more species at risk of extinction than the current Red List.

Authors:  Natalia Ocampo-Peñuela; Clinton N Jenkins; Varsha Vijay; Binbin V Li; Stuart L Pimm
Journal:  Sci Adv       Date:  2016-11-09       Impact factor: 14.136

8.  Global humid tropics forest structural condition and forest structural integrity maps.

Authors:  Andrew Hansen; Kevin Barnett; Patrick Jantz; Linda Phillips; Scott J Goetz; Matt Hansen; Oscar Venter; James E M Watson; Patrick Burns; Scott Atkinson; Susana Rodríguez-Buritica; Jamison Ervin; Anne Virnig; Christina Supples; Rafael De Camargo
Journal:  Sci Data       Date:  2019-10-25       Impact factor: 6.444

9.  Matrix condition mediates the effects of habitat fragmentation on species extinction risk.

Authors:  Juan Pablo Ramírez-Delgado; Moreno Di Marco; James E M Watson; Chris J Johnson; Carlo Rondinini; Xavier Corredor Llano; Miguel Arias; Oscar Venter
Journal:  Nat Commun       Date:  2022-02-01       Impact factor: 14.919

  9 in total

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