Biodiversity response to forest management depends on taxonomic group : a meta-analysis in Europe
Notice bibliographique
Résumé
Among global changes, intensification of forest management is a major issue at the beginning of the 21st century e.g. for bio-fuel production. Past and present pressures on forest resources have led to a drastic decrease in the surface area of unmanaged forests in Europe: they currently represent less than 1% of the total forest area (vs. 13% on the west coast of the United States and 40-52% in Canada). Modifications in forest structure, composition and dynamics inevitably lead to changes in the biodiversity of forest dwelling species. However, the possible gains and losses in biodiversity due to forest management have never been assessed at a pan-European scale.\nIn the current study, carried out within the framework of ALTER-Net, we hypothesized that biodiversity was higher in unmanaged forests although we expected contrasted responses for different taxa and ecological groups. We also identified the gaps in the knowledge concerning the response of biodiversity to forest management in Europe. We used a meta-analytical approach to do this. Meta-analysis is a quantitative review of the literature that combines the results of several independent studies examining the same question. Meta-analysis output accounts for the fact that all the studies are not equally reliable. In this study, we used species richness as a simple, though imperfect, index of biodiversity. The term "forest management" encompassed any anthropogenic pressures related to direct forest resource use (clearfelling, selective felling, any form of tree retention, grazing, planting or drainage). We analysed 51 published papers containing 122 individual comparisons of species richness between unmanaged and managed forests throughout Europe.\nSpecies richness was slightly higher in unmanaged than in managed forests but the difference was only marginally significant. However, when we divided the studies according to taxonomic and/or ecological groups, we found both contrasted and more significant responses: (i) bryophytes, lichens, fungi and saproxylic beetles, which mainly depend on deadwood and/or large trees, were penalised by forest management; (ii) on the contrary, vascular plants were favoured by forest management; (iii) the response for carabids or birds was unclear and probably depends on other factors not included in our analysis (e.g. landscape patterns). This study also highlighted the need for more research, especially in temperate and Mediterranean regions and/or for some groups such as mammals or soil invertebrates.\nTo our knowledge, this study has been the first to compare biodiversity in managed and unmanaged European forests using meta-analysis. The conclusions of this study support an active conservation policy, creating new unmanaged forest reserves and encouraging management methods that mimic natural forest dynamics and structures. These actions would contribute to achieving the 2010 biodiversity target. Moreover, we suggest the creation of a coordinated European research network to study and monitor biodiversity of different taxa in managed and unmanaged forests.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,016 | 0,018 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,007 | 0,042 |
| Bibliométrie | 0,005 | 0,006 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,003 | 0,001 |
| Science ouverte | 0,002 | 0,002 |
| Intégrité de la recherche | 0,002 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».