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Biodiversity and Anthropogenic Change in Fungal Communities of the Santa Rita Mountains (Arizona, USA)

2025· other· en· W7079203705 sur OpenAlexaboutno aff

Notice bibliographique

RevueUA Campus Repository (The University of Arizona) · 2025
Typeother
Langueen
DomaineComputer Science
ThématiqueGeochemistry and Geologic Mapping
Établissements canadiensnon disponible
Organismes subventionnairesGraduate and Professional Student Council, University of ArizonaUniversity of OregonUniversity of ArizonaNational Science Foundation
Mots-clésBiodiversityWoodlandMicrofungiHerbariumPlant communityVegetation (pathology)Biodiversity hotspotEcological successionEcosystem
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Represented by extensive functional and phylogenetic diversity and encompassing mycorrhizae, saprotrophs, pathogens, lichens, animal associates, and endophytes, the fungal kingdom is an important component of global ecosystems. Macrofungi – the subset of fungi distinguished by having macroscopic sporocarps – play diverse ecological roles in wild ecosystems, including substrate decomposition, enhancement of soil fertility, and facilitation of rhizosphere dynamics as root symbionts. Recent observations facilitated by current sequencing methods reveal that some macrofungi may occur in an endophytic phase within plant tissues. Endophytes are those fungi that inhabit plant tissues asymptomatically, often exhibiting commensal and mutualistic lifestyles that influence phenotypes and functional traits of plant hosts. Thus, to characterize macrofungal diversity it is beneficial to combine traditional methods such as collections of sporocarps and reviews of fungal herbarium specimens with evaluation of plant tissues for evidence of endophytic macrofungi. This thesis explores macrofungal diversity in a biodiversity hotspot in southern Arizona: the Santa Rita Mountains and the adjacent grasslands and oak woodlands that comprise parts of the Santa Rita Experimental Range. This area in southern Arizona has a well recorded fire history and stark ecological and vegetation gradients traversing desert scrub typical of the Sonoran Desert to coniferous forests resembling those of Canada in only a few kilometers. The area has been subject to intensive study via the Santa Rita Experimental Range for many years, with extensive knowledge of grazing history and plant community and vegetation dynamics. The goal of my work was to provide a first inventory of macrofungi in the Santa Rita region. In this work I combine several data streams. First, I and my collaborators conducted field collections of macrofungal sporocarps in grasslands, oak forests in woodlands, and coniferous forests over three years. Second, I evaluated over 100 years of historical collections from the Santa Ritas, drawing from specimens housed at the University of Arizona’s Robert L. Gilbertson Mycological Herbarium and made publicly visible through the fungal biodiversity portal, MyCoPortal. Third, I reviewed a compendium of records from community scientists and enthusiasts in a collaborative iNaturalist project for the area. Finally, I used DNA sequencing to characterize culturable fungal endophytes from plant tissues at our selected sites, each having distinctive plant communities, abiotic conditions, and fire histories, to understand the contributions of endophytes to macrofungal biodiversity in this area. Records of sporocarp collection from over a century, coupled with new collections, new iNaturalist observations, and molecular analyses of endophyte communities, revealed at least 300 species of macrofungi in the Santa Rita Mountains and Santa Rita Experimental Range. New collections during the 2024 monsoon season coupled with iNaturalist records added over 40 species to the known records (>10%). We detected macrofungi as cryptic endophytes in both burned and unburned grasslands, oak woodlands and conifer forests, but the contribution to the macrofungal inventory of the region was limited relative to the inputs of community scientists/observers and Herbarium collections. My work contributed new accessions in the Gilbertson Herbarium, new digital records on MyCoPortal and iNaturalist, and new DNA sequences to be archived publicly in GenBank in the future. I also supported the training of an undergraduate student in curatorial activity, with all aspects of my work advancing the understanding of the fungal biodiversity of iconic landscapes of southern Arizona. To complement my research as a Master’s student, I gained a broad perspective on changing ecosystems and the -omics-based tools used to study them in a collaborative manner. My experiences included training through two programs funded by the National Science Foundation: EMERGE-BII (EMergent Ecosystem Response to ChanGE Biology Integration Institute) and the BRIDGES NRT (Building Resources for InterDisciplinary training in Genomic and Ecosystem Sciences). As a trainee in both programs and as a Fellow in the latter, I learned to contextualize my research within a comparative and convergent framework of scientific inquiry and multiple scales of biology. This approach facilitates the discovery of interactions among fungal biology, diversity, and genetics within dynamic ecosystems, spanning molecular to community scales. With these programs, my fundamental graduate training, and my research, my Masters work has begun to elucidate the relationships between the phenology, ecology, systematics, and taxonomy of fungi within Arizona and beyond.

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 candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Autre · Signal consensuel: aucune
Score de désaccord entre enseignants0,667
Score d'incertitude au seuil0,986

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,001
Communication savante0,0000,000
Science ouverte0,0020,002
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,012
Tête enseignante GPT0,194
Écart entre enseignants0,183 · 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; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
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

Citations0
Publié2025
Routes d'admission1
Résumé présentoui

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