Environmental Factors Are Stronger Predictors of Primate Species' Distributions Than Basic Biological Traits
被引:3
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作者:
Williams, Katherine A.
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Univ Southampton, Fac Engn & Phys Sci, Bioengn Res Grp, Southampton, Hants, England
Bournemouth Univ, Landscape Ecol & Primatol LEAP, Poole, Dorset, EnglandUniv Southampton, Fac Engn & Phys Sci, Bioengn Res Grp, Southampton, Hants, England
Williams, Katherine A.
[1
,3
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Slater, Helen D.
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机构:
Bournemouth Univ, Dept Life & Environm Sci, Poole, Dorset, England
Bournemouth Univ, Landscape Ecol & Primatol LEAP, Poole, Dorset, EnglandUniv Southampton, Fac Engn & Phys Sci, Bioengn Res Grp, Southampton, Hants, England
Slater, Helen D.
[2
,3
]
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Gillingham, Phillipa
[2
,3
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Korstjens, Amanda H.
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机构:
Bournemouth Univ, Dept Life & Environm Sci, Poole, Dorset, England
Bournemouth Univ, Landscape Ecol & Primatol LEAP, Poole, Dorset, EnglandUniv Southampton, Fac Engn & Phys Sci, Bioengn Res Grp, Southampton, Hants, England
Korstjens, Amanda H.
[2
,3
]
机构:
[1] Univ Southampton, Fac Engn & Phys Sci, Bioengn Res Grp, Southampton, Hants, England
[2] Bournemouth Univ, Dept Life & Environm Sci, Poole, Dorset, England
[3] Bournemouth Univ, Landscape Ecol & Primatol LEAP, Poole, Dorset, England
Understanding the neutral, biological, and environmental processes driving species distributions is valuable in informing conservation efforts because it will help us predict how species will respond to changes in environmental conditions. Environmental processes affect species differently according to their biological traits, which determine how they interact with their environment. Therefore, functional, trait-based modeling approaches are considered important for predicting distributions and species responses to change but even for data-rich primate communities our understanding of the relationships between traits and environmental conditions is limited. Here we use a large-scale, high-resolution data set of African diurnal primate distributions, biological traits, and environmental conditions to investigate the role of biological traits and environmental trait filtering in primate distributions. We collected data from published sources for 354 sites and 14 genera with 57 species across sub-Saharan Africa. We then combined a three-table ordination method, RLQ, with the fourth-corner approach to test relationships between environmental variables and biological traits and used a mapping approach to visually assess patterning in primate genus and species' distributions. We found no significant relationships between any groups of environmental variables and biological traits, despite a clear role of environmental filtering in driving genus and species' distributions. The most important environmental driver of species distributions was temperature seasonality, followed by rainfall. We conclude that the relative flexibility of many primate genera means that not any one particular set of traits drives their species-environment associations, despite the clear role of such associations in their distribution patterns.
机构:
Univ Rhode Isl, Dept Biol Sci, Kingston, RI 02881 USA
Univ Utah, Sch Med, Dept Biochem, Salt Lake City, UT USAUniv Rhode Isl, Dept Biol Sci, Kingston, RI 02881 USA
Pita-Aquino, Jessica N.
Bock, Dan G.
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Washington Univ, Dept Biol, St Louis, MO USA
Univ British Columbia, Dept Bot, Vancouver, BC, Canada
Univ British Columbia, Biodivers Res Ctr, Vancouver, BC, CanadaUniv Rhode Isl, Dept Biol Sci, Kingston, RI 02881 USA
Bock, Dan G.
Baeckens, Simon
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Harvard Univ, Dept Organism & Evolutionary Biol, Cambridge, MA USA
Univ Ghent, Dept Biol, Ghent, BelgiumUniv Rhode Isl, Dept Biol Sci, Kingston, RI 02881 USA
Baeckens, Simon
Losos, Jonathan B.
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Washington Univ, Dept Biol, St Louis, MO USAUniv Rhode Isl, Dept Biol Sci, Kingston, RI 02881 USA
Losos, Jonathan B.
Kolbe, Jason J.
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机构:
Univ Rhode Isl, Dept Biol Sci, Kingston, RI 02881 USAUniv Rhode Isl, Dept Biol Sci, Kingston, RI 02881 USA
机构:
Chinese Acad Sci, South China Bot Garden, Guangzhou 510650, Peoples R China
Univ Chinese Acad Sci, Beijing 100049, Peoples R ChinaYunnan Univ, Sch Ecol & Environm Sci, Key Lab Soil Ecol & Hlth Univ Yunnan Prov, Kunming 650091, Peoples R China