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A global database on non-volant small mammal composition in natural and human-modified habitats
Non-volant small mammals, which include small-bodied representatives from several mammal orders, have been used as a model group to test the effects of habitat conversion and edge creation on biodiversity. Small mammals occupy a large variety of habitat types and vegetation strata, and have varied l...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6660613/ https://www.ncbi.nlm.nih.gov/pubmed/31372469 http://dx.doi.org/10.1016/j.dib.2019.103842 |
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author | Luza, André Luís Graham, Catherine Helen Hartz, Sandra Maria |
author_facet | Luza, André Luís Graham, Catherine Helen Hartz, Sandra Maria |
author_sort | Luza, André Luís |
collection | PubMed |
description | Non-volant small mammals, which include small-bodied representatives from several mammal orders, have been used as a model group to test the effects of habitat conversion and edge creation on biodiversity. Small mammals occupy a large variety of habitat types and vegetation strata, and have varied lifestyles and diets. They include species with slow-to fast-life history (the Etruscan shrew Suncus etruscus and European Hare Lepus europaeus, respectively) and with very specialized to very generalist habits and diets (the Atlantic bamboo rat Kannabateomys amblyonyx and house mouse Mus musculus, respectively). There are no databases with global coverage focusing on small mammal composition in natural and human-modified habitats and that include neglected natural habitats (e.g. grasslands and savannas). Here, peer-reviewed articles were searched in the primary literature to synthesize almost half century (1973–2017) of research on small mammal composition in natural forests, grasslands and their natural edges, and in five types of human-modified habitats (human-induced forest edges, human-induced grassland edges, crop fields, clear-cuts and tree plantations). The complete database includes information from 199 peer-reviewed articles. Presence data were obtained for 534 species (including 30 unidentified) in 551 sites distributed in 45 countries, 92 ecoregions, 10 biomes and six realms. Measurements of sampling effort and number of species records (number of individuals, captures) per habitat were also obtained, from which researchers can calculate a measure of abundance standardized by the sampling effort. The database will be useful for researchers interested in local-to broad-scale patterns of alpha- and beta-diversity in natural and human-modified habitats. |
format | Online Article Text |
id | pubmed-6660613 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-66606132019-08-01 A global database on non-volant small mammal composition in natural and human-modified habitats Luza, André Luís Graham, Catherine Helen Hartz, Sandra Maria Data Brief Immunology and Microbiology Non-volant small mammals, which include small-bodied representatives from several mammal orders, have been used as a model group to test the effects of habitat conversion and edge creation on biodiversity. Small mammals occupy a large variety of habitat types and vegetation strata, and have varied lifestyles and diets. They include species with slow-to fast-life history (the Etruscan shrew Suncus etruscus and European Hare Lepus europaeus, respectively) and with very specialized to very generalist habits and diets (the Atlantic bamboo rat Kannabateomys amblyonyx and house mouse Mus musculus, respectively). There are no databases with global coverage focusing on small mammal composition in natural and human-modified habitats and that include neglected natural habitats (e.g. grasslands and savannas). Here, peer-reviewed articles were searched in the primary literature to synthesize almost half century (1973–2017) of research on small mammal composition in natural forests, grasslands and their natural edges, and in five types of human-modified habitats (human-induced forest edges, human-induced grassland edges, crop fields, clear-cuts and tree plantations). The complete database includes information from 199 peer-reviewed articles. Presence data were obtained for 534 species (including 30 unidentified) in 551 sites distributed in 45 countries, 92 ecoregions, 10 biomes and six realms. Measurements of sampling effort and number of species records (number of individuals, captures) per habitat were also obtained, from which researchers can calculate a measure of abundance standardized by the sampling effort. The database will be useful for researchers interested in local-to broad-scale patterns of alpha- and beta-diversity in natural and human-modified habitats. Elsevier 2019-03-19 /pmc/articles/PMC6660613/ /pubmed/31372469 http://dx.doi.org/10.1016/j.dib.2019.103842 Text en © 2019 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Immunology and Microbiology Luza, André Luís Graham, Catherine Helen Hartz, Sandra Maria A global database on non-volant small mammal composition in natural and human-modified habitats |
title | A global database on non-volant small mammal composition in natural and human-modified habitats |
title_full | A global database on non-volant small mammal composition in natural and human-modified habitats |
title_fullStr | A global database on non-volant small mammal composition in natural and human-modified habitats |
title_full_unstemmed | A global database on non-volant small mammal composition in natural and human-modified habitats |
title_short | A global database on non-volant small mammal composition in natural and human-modified habitats |
title_sort | global database on non-volant small mammal composition in natural and human-modified habitats |
topic | Immunology and Microbiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6660613/ https://www.ncbi.nlm.nih.gov/pubmed/31372469 http://dx.doi.org/10.1016/j.dib.2019.103842 |
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