NARA Discovery
Article Details
← Back to Search Results
Journal Article

Abundance patterns of mammals across Russia explained by remotely sensed vegetation productivity and snow indices

Elena Razenkova; Maxim Dubinin; Anna M. Pidgeon; Martina L. Hobi; Likai Zhu; Eugenia V. Bragina; Andrew M. Allen; Murray K. Clayton; Leonid M. Baskin; Nicholas C. Coops; Volker C. Radeloff
Journal of Biogeography · Vol. 50, Issue 5 · pp. 932-946 · 2023

Abstract

Aim Predicting biodiversity responses to global changes requires good models of species' distributions. Both environmental conditions and human activities determine population density patterns. However, quantifying the relationship between wildlife population densities and their underlying environmental conditions across large geographical scales has remained challenging. Our goal was to explain the abundances of mammal species based on their response to several remotely sensed indices including the Dynamic Habitat Indices (DHIs) and the novel Winter Habitat Indices (WHIs). Location Russia, the majority of regions. Taxon Eight mammal species. Methods We estimated average population densities for each species across Russia from 1981 to 2010 from winter track counts. The DHIs measure vegetative productivity, a proxy for food availability. Our WHIs included the duration of snow‐free ground, duration of snow‐covered ground and the start, end and length of frozen season. In models, we included elevation, climate conditions, human footprint index. We parameterized multiple linear regression and applied best‐subset model selection to determine the main factors influencing population density. Results The DHIs were included in some of the top‐twelve models of every species, and in the top model for moose, wild boar, red fox and wolf, so they were important for species at all trophic levels. The WHIs were included in top models for all species except roe deer, demonstrating the importance of winter conditions. The duration of frozen ground without snow and the end of frozen season were particularly important. Our top models performed well for all the species ( R 2 adj 0.43–0.87). Main Conclusions The combination of the DHIs and the WHIs with climate and human‐related variables resulted in high explanatory power. We show that vegetation productivity and winter conditions are key drivers of variation in population density of eight species across Russia.

Bibliographic Information

JournalJournal of Biogeography
PublisherWiley
Publication Date2023-05-01
Publication Year2023
Volume50
Issue5
Pages932-946
Document TypeJournal Article
Print ISSN0305-0270
eISSN1365-2699
DOI10.1111/jbi.14588
SubjectEcology & Organismal Biology

Access Information

NARA Access Coverage1997-01-01~Current
Journal Homepagehttps://onlinelibrary.wiley.com/loi/13652699
Publisher PageOpen Publisher Page
Full-text access depends on NARA's subscribed coverage and institutional access.