Disturbance, habitat variability and biodiversity of a boreal carabid (Coleoptera: Carabidae) fauna 15 years after variable retention harvest
Notice bibliographique
Résumé
Species diversity patterns and the processes that drive them are a central focus of modern ecology. Although the spatial effects of habitat variation and disturbance on aggregate metrics like diversity and abundance have received considerable attention at local scales, ecologists have virtually ignored the joint influences of habitat variability and disturbance on the temporal variability in communities. Many such studies have dealt with carabid beetles (ground beetles), which are widely used as bioindicators to evaluate faunal response to disturbance. In this dissertation, I have studied variation of boreal ground beetle assemblages in time, in relation to the joint influences of forest cover type and disturbance as a contribution to interpreting the findings of the EMEND (Ecosystem Management Emulating Natural Disturbance) experiment in NW Alberta, Canada. In chapter 1, I focused on α-diversity and studied how local assemblages respond to combinations of retention harvest prescription across four cover types of mixedwood forest, using a 15-year dataset. The work led to three main conclusions: (1) retention harvests better maintain ground beetle diversity than do traditional clear-cuts; (2) beetle assemblages start recovering toward pre-harvest condition immediately after harvest, instead of diverging from it; and (3) beetle assemblages in high retention treatments recover more quickly than do those in low retention treatments. Chapter 2 identifies the species that are mostly significantly affected by harvest responsible for large post-harvest species turnover (i.e., beta-diversity) among harvested stands and between them and un-harvested controls. My analysis establishes that (1) retention harvests are associated with lower species turnover than are traditional clear-cuts; (2) species turnover decreases with increased retention; and (3) species turnover in response to harvest is driven mostly by forest specialists, but that the extent of turnover will vary with cover-type. I found that seven reasonably abundant species contributed most to species turnover and classified them as ‘key species’ for conservation of these carabids in the context of mixedwood forestry. Chapter 3 links post-harvest variation to abundance of particular ground beetle species, and I model the abundance of key species, common species and rare species based on information about composition of vegetation. This chapter provides species-specific understanding of how harvest disturbance drives faunal turnover in these forests. Again, there are three main results: (1) habitat variation influences the patterns of abundance, and hence, distribution of ground beetle species and thus affects the structure of local assemblages in quite predictable ways; (2) such influences vary among ground beetle species because they have different habitat requirements; and (3) species distribution in stands harvested with retention are left more similar to un-harvested controls and recover toward forest characteristic of the early phases of boreal succession than in clear-cuts. Overall, my dissertation provides the most extensive analysis of forest ground beetle assemblages ever undertaken in relation to anthropogenic disturbance. My dissertation contributes to a habitat-based understanding of α- and beta-diversity for carabid beetles of forest systems, and clearly shows that the conservation-related effects of forestry flow from reductions in beta-diversity. Thus, in the more general view, this work increases ecological understanding about species diversity patterns that contributes to building better approaches for long-term biodiversity conservation in the context of sustainable forest management.
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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 | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 ».