Drivers of Microtus arvalis population dynamics : lessons from a 17 year time series.

International audience Common vole population dynamics appear to be strongly correlated to landscape configuration. In comparing time series of vole populations in various regions of France, Delattre et al. (1992) reported a variety of patterns, ranging from low density populations prone to local ex...

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Main Authors: Giraudoux, Patrick, Villette, Petra, Quéré, Jean-Pierre, Damange, Jean-Pierre, Delattre, Pierre
Other Authors: Laboratoire Chrono-environnement (UMR 6249) (LCE), Centre National de la Recherche Scientifique (CNRS)-Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté COMUE (UBFC)-Université Bourgogne Franche-Comté COMUE (UBFC), Centre de Biologie pour la Gestion des Populations (UMR CBGP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Université de Montpellier (UM)-Institut de Recherche pour le Développement (IRD France-Sud )-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro)
Format: Conference Object
Language:English
Published: HAL CCSD 2018
Subjects:
Online Access:https://hal.science/hal-01861696
https://doi.org/10.5073/jka.2018.459.000
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spelling ftunifranchecom:oai:HAL:hal-01861696v1 2024-02-11T10:02:58+01:00 Drivers of Microtus arvalis population dynamics : lessons from a 17 year time series. Giraudoux, Patrick Villette, Petra Quéré, Jean-Pierre Damange, Jean-Pierre Delattre, Pierre Laboratoire Chrono-environnement (UMR 6249) (LCE) Centre National de la Recherche Scientifique (CNRS)-Université de Franche-Comté (UFC) Université Bourgogne Franche-Comté COMUE (UBFC)-Université Bourgogne Franche-Comté COMUE (UBFC) Centre de Biologie pour la Gestion des Populations (UMR CBGP) Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Université de Montpellier (UM)-Institut de Recherche pour le Développement (IRD France-Sud )-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro) Potsdam, Germany 2018-09-03 https://hal.science/hal-01861696 https://doi.org/10.5073/jka.2018.459.000 en eng HAL CCSD info:eu-repo/semantics/altIdentifier/doi/10.5073/jka.2018.459.000 hal-01861696 https://hal.science/hal-01861696 doi:10.5073/jka.2018.459.000 Rodents 2018: 6th International Conference of Rodent Biology and Management & 16th Rodens et Spatium https://hal.science/hal-01861696 Rodents 2018: 6th International Conference of Rodent Biology and Management & 16th Rodens et Spatium, Sep 2018, Potsdam, Germany. , ⟨10.5073/jka.2018.459.000⟩ https://rodents2018.org/ population dynamics decline phase common vole microtus [SDE.BE]Environmental Sciences/Biodiversity and Ecology [SDV.EE]Life Sciences [q-bio]/Ecology environment info:eu-repo/semantics/conferenceObject Conference poster 2018 ftunifranchecom https://doi.org/10.5073/jka.2018.459.000 2024-01-23T23:33:54Z International audience Common vole population dynamics appear to be strongly correlated to landscape configuration. In comparing time series of vole populations in various regions of France, Delattre et al. (1992) reported a variety of patterns, ranging from low density populations prone to local extinction in intensively tilled homogeneous agricultural landscapes, to multi-annual large-amplitude variations of population densities in permanent grassland landscapes. These observations support the Trophic ROMPA (Ratio of optimal to marginal patch habitat) Integrated Model (TRIM) outlined by Lidicker (2000), which combines the exploitation ecosystems hypothesis (Oksanen and Oksanen 2000) with the effect of spatial arrangements of habitats on vole dispersal and predator communities. In landscape of high productivity and large proportion of optimal habitat Lidicker (2000)'s TRIM and Delattre et al. (1992) conceptual models predict that (1) vole population dynamics will be driven mostly by extrinsic rather than by intrinsic factors. In practice, population dynamic features, except for seasonality (reproduction stop in winter) should not be driven by reproduction variation; (2). population peaks will last longer and at the extreme tend to produce larger amplitude fluctuations with only seasonal variations and no cyclicity.In this presentation, we consider a 17 year (1979-1996) time series of M. arvalis population fluctuations in eastern France, in a landscape where the ratio of permanent grassland in farmland is near 100%. We show that: (1) large multiannual population variations (> 5 years) and long (multi-annual) high density peaks (hundreds ind./ha) can be observed with no delayed density dependence (thus no cyclicity); (2) meteorological conditions have a delayed and direct impact on reproduction parameters but not on population dynamics and (3) population declines in Spring and Summer are not explained by reproduction variations, hence explained by mortality increase. This corroborates Lidicker and Delattre’s ... Conference Object Common vole Microtus arvalis Université de Franche-Comté (UFC): HAL
institution Open Polar
collection Université de Franche-Comté (UFC): HAL
op_collection_id ftunifranchecom
language English
topic population dynamics
decline phase
common vole
microtus
[SDE.BE]Environmental Sciences/Biodiversity and Ecology
[SDV.EE]Life Sciences [q-bio]/Ecology
environment
spellingShingle population dynamics
decline phase
common vole
microtus
[SDE.BE]Environmental Sciences/Biodiversity and Ecology
[SDV.EE]Life Sciences [q-bio]/Ecology
environment
Giraudoux, Patrick
Villette, Petra
Quéré, Jean-Pierre
Damange, Jean-Pierre
Delattre, Pierre
Drivers of Microtus arvalis population dynamics : lessons from a 17 year time series.
topic_facet population dynamics
decline phase
common vole
microtus
[SDE.BE]Environmental Sciences/Biodiversity and Ecology
[SDV.EE]Life Sciences [q-bio]/Ecology
environment
description International audience Common vole population dynamics appear to be strongly correlated to landscape configuration. In comparing time series of vole populations in various regions of France, Delattre et al. (1992) reported a variety of patterns, ranging from low density populations prone to local extinction in intensively tilled homogeneous agricultural landscapes, to multi-annual large-amplitude variations of population densities in permanent grassland landscapes. These observations support the Trophic ROMPA (Ratio of optimal to marginal patch habitat) Integrated Model (TRIM) outlined by Lidicker (2000), which combines the exploitation ecosystems hypothesis (Oksanen and Oksanen 2000) with the effect of spatial arrangements of habitats on vole dispersal and predator communities. In landscape of high productivity and large proportion of optimal habitat Lidicker (2000)'s TRIM and Delattre et al. (1992) conceptual models predict that (1) vole population dynamics will be driven mostly by extrinsic rather than by intrinsic factors. In practice, population dynamic features, except for seasonality (reproduction stop in winter) should not be driven by reproduction variation; (2). population peaks will last longer and at the extreme tend to produce larger amplitude fluctuations with only seasonal variations and no cyclicity.In this presentation, we consider a 17 year (1979-1996) time series of M. arvalis population fluctuations in eastern France, in a landscape where the ratio of permanent grassland in farmland is near 100%. We show that: (1) large multiannual population variations (> 5 years) and long (multi-annual) high density peaks (hundreds ind./ha) can be observed with no delayed density dependence (thus no cyclicity); (2) meteorological conditions have a delayed and direct impact on reproduction parameters but not on population dynamics and (3) population declines in Spring and Summer are not explained by reproduction variations, hence explained by mortality increase. This corroborates Lidicker and Delattre’s ...
author2 Laboratoire Chrono-environnement (UMR 6249) (LCE)
Centre National de la Recherche Scientifique (CNRS)-Université de Franche-Comté (UFC)
Université Bourgogne Franche-Comté COMUE (UBFC)-Université Bourgogne Franche-Comté COMUE (UBFC)
Centre de Biologie pour la Gestion des Populations (UMR CBGP)
Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Université de Montpellier (UM)-Institut de Recherche pour le Développement (IRD France-Sud )-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro)
format Conference Object
author Giraudoux, Patrick
Villette, Petra
Quéré, Jean-Pierre
Damange, Jean-Pierre
Delattre, Pierre
author_facet Giraudoux, Patrick
Villette, Petra
Quéré, Jean-Pierre
Damange, Jean-Pierre
Delattre, Pierre
author_sort Giraudoux, Patrick
title Drivers of Microtus arvalis population dynamics : lessons from a 17 year time series.
title_short Drivers of Microtus arvalis population dynamics : lessons from a 17 year time series.
title_full Drivers of Microtus arvalis population dynamics : lessons from a 17 year time series.
title_fullStr Drivers of Microtus arvalis population dynamics : lessons from a 17 year time series.
title_full_unstemmed Drivers of Microtus arvalis population dynamics : lessons from a 17 year time series.
title_sort drivers of microtus arvalis population dynamics : lessons from a 17 year time series.
publisher HAL CCSD
publishDate 2018
url https://hal.science/hal-01861696
https://doi.org/10.5073/jka.2018.459.000
op_coverage Potsdam, Germany
genre Common vole
Microtus arvalis
genre_facet Common vole
Microtus arvalis
op_source Rodents 2018: 6th International Conference of Rodent Biology and Management & 16th Rodens et Spatium
https://hal.science/hal-01861696
Rodents 2018: 6th International Conference of Rodent Biology and Management & 16th Rodens et Spatium, Sep 2018, Potsdam, Germany. , ⟨10.5073/jka.2018.459.000⟩
https://rodents2018.org/
op_relation info:eu-repo/semantics/altIdentifier/doi/10.5073/jka.2018.459.000
hal-01861696
https://hal.science/hal-01861696
doi:10.5073/jka.2018.459.000
op_doi https://doi.org/10.5073/jka.2018.459.000
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