Please use this identifier to cite or link to this item: http://dx.doi.org/10.25673/85775
Title: An ecoregion-based approach to restoring the world's intact large mammal assemblages
Author(s): Vynne, Carly
Gosling, Joe
Maney, Calum
Dinerstein, Eric
Lee, Andy T. L.
Burgess, Neil D.
Fernández, Néstor
Fernando, Sanjiv
Jhala, Harshini
Jhala, Yadvendradev
Noss, Reed F.
Proctor, Michael F.
Schipper, Jan
González-Maya, José F.
Joshi, Anup R.
Olson, David
Ripple, William J.
Svenning, Jens-Christian
Issue Date: 2022
Type: Article
Language: English
Abstract: Assemblages of large mammal species play a disproportionate role in the structure and composition of natural habitats. Loss of these assemblages destabilizes natural systems, while their recovery can restore ecological integrity. Here we take an ecoregion-based approach to identify landscapes that retain their historically present large mammal assemblages, and map ecoregions where reintroduction of 1–3 species could restore intact assemblages. Intact mammal assemblages occur across more than one-third of the 730 terrestrial ecoregions where large mammals were historically present, and 22% of these ecoregions retain complete assemblages across > 20% of the ecoregion area. Twenty species, if reintroduced or allowed to recolonize through improved connectivity, can increase the area of the world containing intact large mammal assemblages by 54% (11 116 000 km2). Each of these species have at least two large, intact habitat areas (> 10 000 km2) in a given ecoregion. Timely integration of recovery efforts for large mammals strengthens area-based targets being considered under the Convention on Biological Diversity.
URI: https://opendata.uni-halle.de//handle/1981185920/87727
http://dx.doi.org/10.25673/85775
Open Access: Open access publication
License: (CC BY 3.0) Creative Commons Attribution 3.0 Unported(CC BY 3.0) Creative Commons Attribution 3.0 Unported
Sponsor/Funder: Publikationsfonds MLU
Journal Title: Ecography
Publisher: Wiley-Blackwell
Publisher Place: Oxford [u.a.]
Volume: 2022
Issue: 4
Original Publication: 10.1111/ecog.06098
Appears in Collections:Open Access Publikationen der MLU