Role of landscape composition and geographical location on breeding philopatry in grassland passerines : a stable isotope approach
Notice bibliographique
Résumé
Grassland bird populations in North America are in steady decline.Despite declining faster and more consistently than any other group of birds, grassland songbird populations are relatively understudied and little is known about factors driving breeding-site philopatry and dispersal.Landscape and habitat composition may influence fidelity of grassland songbirds to a breeding area.As predicted by the theory of the Ideal Free Distribution, high-quality sites are likely to have a higher percentage of return breeders than low-quality sites because higher quality sites should have more or better-quality resources birds need for improved fitness.Using stable hydrogen isotope (δD) analysis, I approximated minimum fidelity rates of two grassland songbirds to two landscape (grass-vs crop-dominated landscapes) and two habitat (native grass vs planted grass) types.I hypothesized that grassland songbirds would return more readily to higher quality sites.For Sprague's Pipit (Anthus spragueii), a habitat specialist, this would mean returning more readily to native grass habitat in grass dominated landscapes.I expected no difference in return rate of Savannah Sparrow (Passerculus sandwichensis), a habitat generalist, to either habitat or landscape.However, I found that the proportion of non-returning breeders was not influenced by landscape or habitat for either species.Furthermore, I examined attributes (distance from capture point to nearest crop and to the nearest road, as well as the percentage of native grass, planted grass, water and woody vegetation within landscape and territory buffers around the capture point) of the landscape and territory of each individual to determine if specific landscape or territory characteristics influenced their return rate to a breeding area.Neither species showed an affinity or aversion to any of the landscape or territory characteristics considered.At a larger scale, geographical position within the breeding range may influence dispersal rates of migratory songbirds.Given that environmental factors often change in a clinal manner, iii central populations presumably experience the most favorable environmental conditions and peripheral populations the least favorable.Therefore, geographically peripheral locations likely occur in ecologically marginal or stressful conditions, resulting in higher dispersal rates of migratory birds.I examined the differences in dispersal rates of two grassland songbirds at two geographically distinct locations; one centrally located in the Sprague's Pipit breeding range (Last Mountain Lake area, SK, Canada) and one at the periphery (Bowdoin National Wildlife Refuge, MT, USA).As expected, Sprague's Pipits at the Bowdoin National Wildlife Refuge had a significantly larger dispersal rate than at the Last Mountain Lake area.Savannah Sparrow dispersal rates did not differ between locations at the more conservative outlier classification.These results provide some limited evidence that geographical position within the breeding range can influence dispersal rates.Using δD analysis, I found that local amount-weighted growing-season deuterium in precipitation (δD p ) at locations within grassland ecosystems differed from those long-term (45+ year) models described by stable hydrogen isotope ratio basemaps, illustrated in Hobson and Wassenaar (1997), Meehan et al. (2004) and Bowen et al. (2005).Therefore, I describe how δD p values were corrected from the long-term isoscape value predicted by Bowen et al. (2005).This method of determining year-specific local weighted growing-season δD p is an improvement upon the currently used Bowen et al. (2005) isoscape that is based on long-term precipitation patterns.To improve assignment of individuals to origins based on their δD f values, future research should incorporate year-to-year variation by applying year-specific corrections to the Bowen et al. (2005) isoscape.More research is needed to determine the factors affecting the philopatry and dispersal of grassland songbirds in order to conserve them.I thank my committee member
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 | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 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 ».