Modelling the Relative Abundance of Roe Deer (Capreolus capreolus L.) along a Climate and Land-Use Gradient

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Autoren

  • Caryl S. Benjamin
  • Lars Uphus
  • Marvin Lüpke
  • Sandra Rojas-Botero
  • Maninder Singh Dhillon
  • Jana Englmeier
  • Ute Fricke
  • Cristina Ganuza
  • Maria Haensel
  • Sarah Redlich
  • Rebekka Riebl
  • Cynthia Tobisch
  • Johannes Uhler
  • Jie Zhang
  • Annette Menzel
  • Wibke Peters

Externe Organisationen

  • Julius-Maximilians-Universität Würzburg
Forschungs-netzwerk anzeigen

Details

OriginalspracheEnglisch
Aufsatznummer222
FachzeitschriftAnimals
Jahrgang12
Ausgabenummer3
PublikationsstatusVeröffentlicht - 18 Jan. 2022
Extern publiziertJa

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.

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Ziele für nachhaltige Entwicklung

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Modelling the Relative Abundance of Roe Deer (Capreolus capreolus L.) along a Climate and Land-Use Gradient. / Benjamin, Caryl S.; Uphus, Lars; Lüpke, Marvin et al.
in: Animals, Jahrgang 12, Nr. 3, 222, 18.01.2022.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Benjamin, CS, Uphus, L, Lüpke, M, Rojas-Botero, S, Dhillon, MS, Englmeier, J, Fricke, U, Ganuza, C, Haensel, M, Redlich, S, Riebl, R, Tobisch, C, Uhler, J, Zhang, J, Menzel, A & Peters, W 2022, 'Modelling the Relative Abundance of Roe Deer (Capreolus capreolus L.) along a Climate and Land-Use Gradient', Animals, Jg. 12, Nr. 3, 222. https://doi.org/10.3390/ani12030222
Benjamin, C. S., Uphus, L., Lüpke, M., Rojas-Botero, S., Dhillon, M. S., Englmeier, J., Fricke, U., Ganuza, C., Haensel, M., Redlich, S., Riebl, R., Tobisch, C., Uhler, J., Zhang, J., Menzel, A., & Peters, W. (2022). Modelling the Relative Abundance of Roe Deer (Capreolus capreolus L.) along a Climate and Land-Use Gradient. Animals, 12(3), Artikel 222. https://doi.org/10.3390/ani12030222
Benjamin CS, Uphus L, Lüpke M, Rojas-Botero S, Dhillon MS, Englmeier J et al. Modelling the Relative Abundance of Roe Deer (Capreolus capreolus L.) along a Climate and Land-Use Gradient. Animals. 2022 Jan 18;12(3):222. doi: 10.3390/ani12030222
Benjamin, Caryl S. ; Uphus, Lars ; Lüpke, Marvin et al. / Modelling the Relative Abundance of Roe Deer (Capreolus capreolus L.) along a Climate and Land-Use Gradient. in: Animals. 2022 ; Jahrgang 12, Nr. 3.
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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.",
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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.

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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

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DO - 10.3390/ani12030222

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VL - 12

JO - Animals

JF - Animals

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