Details
| Original language | English |
|---|---|
| Article number | 222 |
| Journal | Animals |
| Volume | 12 |
| Issue number | 3 |
| Publication status | Published - 18 Jan 2022 |
| Externally published | Yes |
Abstract
European roe deer (Capreolus capreolus L.) are important given their economic, recreational and ecological value. However, uncontrolled roe deer numbers can result in negative impacts on forest regeneration and agricultural crops, disease transmission and occurrences of deer-vehicle collisions. Information on the abundance and distribution is needed for effective management. We combined distance sampling (DS) of roe deer dung pellet groups with multiple variables to develop a density surface model (DSM) in the federal state of Bavaria in south-eastern Germany. We used the estimates of pellet group density as a proxy for roe deer relative abundance. We extrapolated our best DSM, conducted a quantitative evaluation and contrasted relative abundance along climate and land-use gradients. Relative abundance of roe deer was influenced by a combination of habitat type, climate and wildlife management variables, which differed between seasons and which reflected changes in food and shelter availability. At the landscape scale, the highest abundance was observed in agriculture-dominated areas and the lowest in urban areas. Higher abundance was also observed in areas with intermediate temperatures compared to the warmest areas. Our results provide information on possible future changes in the distribution of relative abundance due to changes in climate and land-use.
Keywords
- Climate change, Density surface model, Distance sampling, Dung pellets, Extrapolation, GAM, Land-use, Roe deer, Spatial modelling
ASJC Scopus subject areas
- veterinary(all)
- General Veterinary
- Agricultural and Biological Sciences(all)
- Animal Science and Zoology
Sustainable Development Goals
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In: Animals, Vol. 12, No. 3, 222, 18.01.2022.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Modelling the Relative Abundance of Roe Deer (Capreolus capreolus L.) along a Climate and Land-Use Gradient
AU - Benjamin, Caryl S.
AU - Uphus, Lars
AU - Lüpke, Marvin
AU - Rojas-Botero, Sandra
AU - Dhillon, Maninder Singh
AU - Englmeier, Jana
AU - Fricke, Ute
AU - Ganuza, Cristina
AU - Haensel, Maria
AU - Redlich, Sarah
AU - Riebl, Rebekka
AU - Tobisch, Cynthia
AU - Uhler, Johannes
AU - Zhang, Jie
AU - Menzel, Annette
AU - Peters, Wibke
N1 - Publisher Copyright: © 2022 by the authors. Licensee MDPI, Basel, Switzerland.
PY - 2022/1/18
Y1 - 2022/1/18
N2 - European roe deer (Capreolus capreolus L.) are important given their economic, recreational and ecological value. However, uncontrolled roe deer numbers can result in negative impacts on forest regeneration and agricultural crops, disease transmission and occurrences of deer-vehicle collisions. Information on the abundance and distribution is needed for effective management. We combined distance sampling (DS) of roe deer dung pellet groups with multiple variables to develop a density surface model (DSM) in the federal state of Bavaria in south-eastern Germany. We used the estimates of pellet group density as a proxy for roe deer relative abundance. We extrapolated our best DSM, conducted a quantitative evaluation and contrasted relative abundance along climate and land-use gradients. Relative abundance of roe deer was influenced by a combination of habitat type, climate and wildlife management variables, which differed between seasons and which reflected changes in food and shelter availability. At the landscape scale, the highest abundance was observed in agriculture-dominated areas and the lowest in urban areas. Higher abundance was also observed in areas with intermediate temperatures compared to the warmest areas. Our results provide information on possible future changes in the distribution of relative abundance due to changes in climate and land-use.
AB - European roe deer (Capreolus capreolus L.) are important given their economic, recreational and ecological value. However, uncontrolled roe deer numbers can result in negative impacts on forest regeneration and agricultural crops, disease transmission and occurrences of deer-vehicle collisions. Information on the abundance and distribution is needed for effective management. We combined distance sampling (DS) of roe deer dung pellet groups with multiple variables to develop a density surface model (DSM) in the federal state of Bavaria in south-eastern Germany. We used the estimates of pellet group density as a proxy for roe deer relative abundance. We extrapolated our best DSM, conducted a quantitative evaluation and contrasted relative abundance along climate and land-use gradients. Relative abundance of roe deer was influenced by a combination of habitat type, climate and wildlife management variables, which differed between seasons and which reflected changes in food and shelter availability. At the landscape scale, the highest abundance was observed in agriculture-dominated areas and the lowest in urban areas. Higher abundance was also observed in areas with intermediate temperatures compared to the warmest areas. Our results provide information on possible future changes in the distribution of relative abundance due to changes in climate and land-use.
KW - Climate change
KW - Density surface model
KW - Distance sampling
KW - Dung pellets
KW - Extrapolation
KW - GAM
KW - Land-use
KW - Roe deer
KW - Spatial modelling
UR - http://www.scopus.com/inward/record.url?scp=85122864266&partnerID=8YFLogxK
U2 - 10.3390/ani12030222
DO - 10.3390/ani12030222
M3 - Article
VL - 12
JO - Animals
JF - Animals
IS - 3
M1 - 222
ER -