The influence of local habitat and landscape composition on cavity-nesting birds in a forested mosaic

Warren, Tara L.; Betts, Matthew G.; Diamond, Antony W.; Forbes, Graham J.

doi:10.1016/j.foreco.2005.04.017

Cited by 53 publications

(37 citation statements)

References 70 publications

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“…For example, consider the relationship between the abundance of a species, e.g., a woodpecker, and the amount of a resource, e.g., dead wood, a critical foraging substrate. A breakpoint-based threshold would be expected if woodpecker territory size was related to the amount of available dead wood; then woodpecker density would decline linearly with the density of dead wood available, until dead wood was so rare that the territory size needed to maintain an individual woodpecker or breeding pair exceeded a size where movement costs are lower than energetic gains (Rolstad 1991, Bütler et al 2004a, Warren et al 2005. In contrast, a classification threshold would help managers identify ranges of dead wood amounts corresponding to a high frequency of occurrence of the focal woodpecker species (e.g., Bütler et al 2004b, Roberge et al 2008, Müller et al 2009, Müller and Bütler 2010.…”

Section: Breakpoint-based Thresholds Versus Classification Thresholdsmentioning

confidence: 99%

Threshold detection: matching statistical methodology to ecological questions and conservation planning objectives

Toms¹,

Villard²

2015

ACE

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ABSTRACT. Two types of ecological thresholds are now being widely used to develop conservation targets: breakpoint-based thresholds represent tipping points where system properties change dramatically, whereas classification thresholds identify groups of data points with contrasting properties. Both breakpoint-based and classification thresholds are useful tools in evidence-based conservation. However, it is critical that the type of threshold to be estimated corresponds with the question of interest and that appropriate statistical procedures are used to determine its location. On the basis of their statistical properties, we recommend using piecewise regression methods to identify breakpoint-based thresholds and discriminant analysis or classification and regression trees to identify classification thresholds. Détection des seuils : choix de la méthode statistique en fonction des questions écologiques et des objectifs de planification de la conservationRÉSUMÉ. À l'heure actuelle, deux types de seuils écologiques sont communément utilisés dans l'élaboration d'objectifs de conservation : alors que les seuils correspondant à un point de rupture représentent le point de basculement où les propriétés du système changent radicalement, les seuils de classification, eux, séparent les données en groupes ayant des propriétés divergentes. Tant les seuils fondés sur le point de rupture que ceux fondés sur la classification sont des outils utiles pour la conservation issue d'observations. Toutefois, le type de seuils que nous cherchons à estimer doit impérativement concorder avec la question qui nous préoccupe, tandis que la méthode statistique utilisée pour déterminer la localisation précise du seuil doit être appropriée. En nous fondant sur leurs propriétés statistiques, nous recommandons l'utilisation d'une méthode de régression par segments pour déterminer un seuil correspondant à un point de rupture et d'une analyse discriminante ou d'un arbre de classification ou de régression pour déterminer un seuil de classification.

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Section: Breakpoint-based Thresholds Versus Classification Thresholdsmentioning

confidence: 99%

Threshold detection: matching statistical methodology to ecological questions and conservation planning objectives

Toms¹,

Villard²

2015

ACE

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“…For this reason, and the broader ecological implications of their keystone status in forest ecosystems, we explored their sensitivity to habitat features at different spatial scales. On Fraser Papers land in northwest New Brunswick, Tara Warren (Warren 2003, Warren et al 2005 examined habitat use by cavity-nesters in relation to vegetation characteristics at three spatial scales: "local, " "meso-" and "macro-" landscape (within 100 m, 300 m and 1000 m respectively of sampling points). She found that local features best explained occupancy (presence/absence) of Boreal Chickadee (Poecile hudsonica), Red-breasted Nuthatch (Sitta canadensis) and Hairy Woodpecker (Picoides villosus).…”

Section: "Content" Versus "Context" -Effects Of Habitat At Local and mentioning

confidence: 99%

Bird research in the ACWERN lab at the Faculty of Forestry and Environmental Management, University of New Brunswick

Diamond¹

2008

The Forestry Chronicle

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Research on forest bird ecology in the ACWERN (Atlantic Cooperative Wildlife Ecology Research Network) lab at the University of New Brunswick, Fredericton, since 1995 has focused on assessing the relative contributions of habitat quality at large ("landscape") and small ("local" or "stand") spatial scales. To do so we had to develop methods for assessing key demographic components of fitness (productivity and survival) at large spatial scales. The large extent of forest cover in the Maritimes contrasts with regions where such work has traditionally been carried out, in which forest is clearly fragmented by agriculture or residential development. Our main findings are that spatial effects in highly forested landscapes can often be detected only by using species-specific habitat models, rather than broader categories such as "mature" or "softwood", that Blackburnian Warblers (Dendroica fusca) are effective indicators of mixedwood forest but define it differently than forest managers do, and that cavity nesters (e.g., woodpeckers) may require different habitat components for nesting and feeding and so cannot be managed for solely on the basis of providing snags for nesting. Our focus has shifted recently to intensive studies on a species at risk, Bicknell's Thrush (Catharus bicknelli), which in New Brunswick breeds in man-made regenerating softwood forest stands, and assessing its response both to precommercial thinning of the breeding habitat and to effects carrying over from the winter habitat in the Caribbean.Key words: landscape effects, thresholds, survival, productivity, fitness, carry-over, habitat, fragmentation RÉSUMÉLa recherche sur l' écologie des oiseaux forestiers entreprise au laboratoire de l' ACWERN (Atlantic Cooperative Wildlife Ecology Research Network) de l'Université du Nouveau-Brunswick à Fredericton depuis 1995, s' est concentrée sur l' éval-uation des apports relatifs de la qualité de l'habitat à de grandes échelles (« le paysage ») et à des échelles plus petites ( « locale » ou « du peuplement ». À cette fin, nous avons dû élaborer des méthodes pour évaluer les principales composantes démographiques d'aptitude (productivité et survie) sur de grandes échelles spatiales. La majeure partie du couvert forestier dans les Maritimes contraste avec les régions où de tels travaux ont été effectués, compte tenu que la forêt est clairement morcelée par l'agriculture et le développement résidentiel. Nos principales observations sont que les effets spatiaux dans les paysages principalement boisés peuvent souvent être détectés seulement au moyen de modèles d'habitat spécifiques pour chaque espèce, plutôt que par des catégories plus étendues comme « forêt à maturité » ou « forêt de résineux », que les parulines à gorge orangée (Dendroica fusca) sont de véritables indicateurs de forêt mélangée mais selon une définition différente de celle des aménagistes forestiers et que les oiseaux qui nichent dans une cavité (p.ex. les picsbois) peuvent avoir besoin de composantes différentes pour se nicher et se...

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“…Several vertebrate and invertebrate animal species other than the Aculeata insects use preexisting holes and cavities in wood for nesting and other activities (Koerber & Medler 1958, Krombein 1967, Mccomb & Noble 1982, Thorp et al 1992, Martin & Eadie 1999, Eltz et al 2003, Bate et al 2004, Warren et al 2005. Approximately 400 species of Australian vertebrates use cavities in wood (Gibbons & Lindenmayer 1996).…”

Section: Use Of Cavities In Wood By Other Animalsmentioning

confidence: 99%

An overview of proximate factors affecting the nesting behavior of solitary wasps and bees (Hymenoptera: Aculeata) in preexisting cavities in wood

Morato¹,

Martins²

2006

Neotrop. Entomol.

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Neotropical Entomology 35(3): 285-298 (2006) Revisão sobre a Influência de Fatores Proximais na Nidificação de Vespas e Abelhas Solitárias (Hymenoptera: Aculeata) em Cavidades Pré-Existentes no Lenho PALAVRAS-CHAVE: Vespa solitária, abelha solitária, guilda, cavidade em árvores, ninho-armadilha ABSTRACT -Guilds of Aculeate solitary wasps and bees that nest in preexisting cavities in wood are important components of terrestrial ecosystems because they engage in several ecological interactions (e.g. predation and pollination) with other species of plants and animals. Spatial and temporal variations in richness and abundance of solitary wasps and bees can be related to changes in environmental structure and in the diversity of other groups of organisms. The nesting period of these Aculeata is their most critical life cycle stage. Females of solitary wasp and bee species invest relatively more time constructing and provisioning their nests than do females of social species. Differently from species that nest in the soil or construct exposed nests, the main factors affecting the reproductive success of solitary species nesting in preexisting wood holes are still unknown. Our objective is to provide an overview of the role of proximate causes of nesting failure or success among solitary wasps and bees (Aculeata), for designing effective conservation and management strategies for these Hymenoptera.

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The influence of local habitat and landscape composition on cavity-nesting birds in a forested mosaic

Cited by 53 publications

References 70 publications

Threshold detection: matching statistical methodology to ecological questions and conservation planning objectives

Threshold detection: matching statistical methodology to ecological questions and conservation planning objectives

Bird research in the ACWERN lab at the Faculty of Forestry and Environmental Management, University of New Brunswick

An overview of proximate factors affecting the nesting behavior of solitary wasps and bees (Hymenoptera: Aculeata) in preexisting cavities in wood

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