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Simple assessment of temperate grassland suitability as habitat for three insect taxa

Dumont Bertrand, Rossignol Nicolas, Huguenin-Elie Olivier, Jeanneret Philippe, Jerrentrup Jana Sabrina, Lüscher Gisela, Taugourdeau Simon, Villerd Jean, Plantureux Sylvain. 2022. Simple assessment of temperate grassland suitability as habitat for three insect taxa. Frontiers in Sustainable Food Systems, 6:881410, 13 p.

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Url - jeu de données - Entrepôt autre : https://doi.org/10.15454/A7KNLK

Résumé : We propose a set of indicators to evaluate how grazing by livestock and grassland management can help preserve biodiversity in the insect communities of grassland ecosystems. These indicators can be calculated for any grassland for which management and botanical composition are known, and they do not require advanced knowledge on conservation biology and entomology. Based on the scientific literature and expert interviews, each indicator combines pressure (i.e., 16 management classes) and state variables (i.e., sward botanical composition and several of the plant functional characteristics) to assess the effects on butterfly, bumblebee, and grasshopper abundance and species richness. Each indicator was based on a multicriteria decision tree with fuzzy partitioning to account for uncertainty in the threshold values between different alternatives. The output validation of indicators was performed by comparing decision tree output with standardized measurements from 10 surveys across France, Germany, Switzerland, Wales, and Italy. The prediction of grassland suitability for butterflies was more accurate for butterfly species richness (P < 0.05) than for butterfly abundance (P = 0.10), as even under standardized transect counts, recorders will observe disproportionately more individuals when it is sunny and warm. The sensitivity of the butterfly species richness indicator was then tested using an independent dataset of 395 French grasslands. There were significant differences in predicted species richness (χ215 = 121.16; P < 0.05) among the 16 management classes, and they were ranked consistently in spite of very parsimonious assumptions in the decision tree. The prediction of grassland suitability was good for bumblebee abundance (P < 0.05) and species richness (P < 0.01). This prediction was also successful for grasshopper abundance (P < 0.05) and species richness (P = 0.05), all outliers coming from a highly diverse grassland community located on shallow soil in the Italian survey. This set of indicators can thus provide a cost-effective evaluation of temperate grassland suitability as habitat for three insect taxa. These indicators have more relevance than general insect species richness, and their application does not require any entomological skill. The indicators can help stakeholders to make adequate decisions for insect conservation in grassland ecosystems, but do not have direct applicability to higher conservation value taxa or species.

Mots-clés Agrovoc : pâturage, conduite des herbages, prairie, conservation de la diversité biologique, climat tempéré, indicateur, enquête, indicateur écologique, entomologie, écosystème, habitat, Lepidoptera, Caelifera, Bombus

Mots-clés géographiques Agrovoc : France, Allemagne, Suisse, Pays de Galles, Italie

Mots-clés libres : Insect, Grassland, Indicators, Biodiversity, Bumblebee, Butterfly, Fuzzy logic, Grasshopper, Grazing management, Multicriteria modeling

Classification Agris : P01 - Conservation de la nature et ressources foncières
L20 - Écologie animale

Champ stratégique Cirad : CTS 1 (2019-) - Biodiversité

Agences de financement européennes : European Commission

Programme de financement européen : FP7

Projets sur financement : (EU) Multi species swards and multi scale strategies for multifunctional grassland based ruminant production systems

Auteurs et affiliations

  • Dumont Bertrand, INRAE (FRA) - auteur correspondant
  • Rossignol Nicolas, INRAE (FRA)
  • Huguenin-Elie Olivier, Agroscope Reckenholz-Tänikon Research Station (CHE)
  • Jeanneret Philippe, Agroscope Research Institute (CHE)
  • Jerrentrup Jana Sabrina, Georg-August University of Göttingen (DEU)
  • Lüscher Gisela, Agroscope Research Institute (CHE)
  • Taugourdeau Simon, CIRAD-ES-UMR SELMET (SEN) ORCID: 0000-0001-6561-3228
  • Villerd Jean, Université de Lorraine (FRA)
  • Plantureux Sylvain, Université de Lorraine (FRA)

Source : Cirad-Agritrop (https://agritrop.cirad.fr/600836/)

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