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Facteurs environnementaux influençant la biodiversité des lichens à différentes échelles dans le nord-ouest du Québec

2020· other· en· W7037773407 sur OpenAlexfundaboutno aff

Notice bibliographique

RevueDepositum (Université du Québec en Abitibi-Témiscamingue) · 2020
Typeother
Langueen
DomaineEconomics, Econometrics and Finance
ThématiqueDiverse Scientific and Economic Studies
Établissements canadiensnon disponible
Organismes subventionnairesNatural Sciences and Engineering Research Council of Canada
Mots-clésVegetation (pathology)OvergrazingPopulationClimax community
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Northwestern Quebec currently has a relatively small human population, few human impacts, and fewer studies on lichen diversity. However, further development in mining, hydroelectric, and tourism is planned for the future. This poses several problems: 1) as we have little information about what lichen species are present and which habitats are important to them, it is difficult for resource managers to mitigate diversity and habitat loss during project development; and 2) it may be difficult to mitigate impacts to habitats without a good understanding of environmental factors, like humidity, that influence lichen diversity. Therefore, this project seeks to study lichen diversity and certain environmental factors that affect that diversity in three different habitats following Leboeuf et al (2012)’s definitions – Uniform Bogs, Spruce Bogs, and Uniform Fens – that cover a large part of the northwestern Quebec region. To do this, we consider lichen diversity on three different scales, here defined as: alpha, changes in lichen diversity between microhabitats; beta, changes in lichen diversity between peatland types; and gamma, differences in lichen diversity between sectors of the study region.
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\nTo meet this aim, three study sectors placed relatively equidistantly along a 600 km transect in the Eeyou Istchee Region were selected. The transect covered both north-south and east-west gradients. The sectors were centered around three mines – Casa Berardi, Whabouchi, and Renard – though we avoided peatlands that likely had impacts from mining, as this was not the aim of our study. Three replicates each of Uniform Bogs, Spruce Bogs, and Uniform Fens were chosen at each site. In each replicate, two 20 meter transects were set up, one running north-south from a central point and the other running from a randomly selected edge point towards the central point. Lichen specimens and a lichen abundance measure were collected on microhabitats within one meter of either side of the transect line. A sensor for relative air humidity and temperature was placed at the center of each transect line, where a canopy opening reading was also taken. To reduce the likelihood of missing species diversity, a one-hour Floristic Habitat Sampling (FHS) protocol was followed. In the FHS method, microhabitats and areas not covered by the transects were targeted and searched for species not yet collected. All lichen samples were identified to species in the laboratory, using chemical spot tests as necessary. Particularly difficult or important specimens will be confirmed with Thin Layer Chromatography (TLC). Mixed linear models and linear regressions on species richness and abundance were run in R software.
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\nSeventy-six lichen species were documented in this study, and trees and saplings were the most lichen rich microhabitats. On the alpha scale, peat and snags, while less lichen diverse individually, were associated with large and unique pools of lichen species. On a beta scale, Unique Fens were less lichen diverse than Uniform Bogs or Spruce Bogs. Since both peat and snags were found less frequently in Uniform Fens, we hypothesize that the lower diversity in Uniform Fens is due in large part to the low availability of these two microhabitats. Microhabitat availability was also key to the significantly higher lichen diversity at the northernmost site. In this case it was rocks, largely absent at all other sites, that were of the greatest importance. Gamma scale lichen diversity also increased from the south to the north with several species only found in the most northern site, a pattern reflected in increasing relative air humidity and lower overall temperatures. We hypothesize that these trends in gamma lichen diversity and environmental factors are linked, though exactly how temperature influences or interacts with other environmental factors is unclear. These results will aid resource managers to mitigate biodiversity loss of lichen species by informing decisions as to which peatland habitats are of higher importance for lichen conservation.

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesCharge utile insuffisante (le modèle a refusé de juger)
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Autre · Signal consensuel: Autre
Score de désaccord entre enseignants0,171
Score d'incertitude au seuil0,999

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,000
Études des sciences et des technologies0,0010,001
Communication savante0,0000,000
Science ouverte0,0010,001
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0110,013

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.

Tête enseignante Opus0,009
Tête enseignante GPT0,154
Écart entre enseignants0,144 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

Devis d'étudeSans objet
Domainenon disponible
GenreAutre

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2020
Routes d'admission2
Résumé présentoui

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