CLIMATE, HABITAT QUALITY, AND FITNESS IN NORTHERN SPOTTED OWL POPULATIONS IN NORTHWESTERN CALIFORNIA

By A. Franklin, David R. Anderson, Ralph J. Gutierrez, K. Burnham. 2000

586 citations recorded by the source corpus.

Subfields: Ecology

View Paper: https://www.semanticscholar.org/paper/fd25e550f3802227d8c44a2603597c55ec2c17de

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In Ecology

Citations in the corpus

A nine-year study of successful breeding in a Bonelli’s eagle population in southeast Spain: a basis for conservation (2004, methodology): “We used the Akaike s Information Criterion, AIC, which is usually applied to ranked alternative models (smaller AIC values corresponded with better model; Franklin et al., 2000).”
Effects of habitat fragmentation on avian nesting success: a review of the evidence at multiple spatial scales (2004, background): “Additionally, spatially and temporally replicated studies will be necessary to accomplish the important task of partitioning variance into process and sampling components (White, 2000; Franklin et al., 2000).”
Demographic response of northern spotted owls to barred owl removal (2016, background): “The underlying ecological premise behind these habitat studies was that northern spotted owl populations were limited by the amount and distribution of habitat (Franklin et al. 2000, Olson et al. 2004, Dugger et al. 2005).”
The role of habitat selection behavior in population dynamics: source -sink systems and ecological traps (2003, background): “It is possible to evaluate the expected growth rate of a population within small areas, preferably the least indivisible unit such as the breeding territory (Franklin et al. 2000).”
The Invasion of Barred Owls and its Potential Effect on the Spotted Owl: a Conservation Conundrum (2007, background): “For example, Franklin et al. (2000) predicted, based on past weather data, that there could be long periods of decline in a spotted owl population due solely to weather effects.”
The effects of habitat, climate, and Barred Owls on long-term demography of Northern Spotted Owls (2016, methodology): “…CORE would have positive effects on Spotted Owl vital rates, and that EDGE would have a variable effect, depending on the amount of nesting and roosting habitat remaining (EDGE and HAB interaction) and differences in the dominant types of prey available in each study area (Franklin et al. 2000).”
Habitat Use and Selection by California Spotted Owls in a Postfire Landscape (2009, background): “Franklin et al. (2000) hypothesized that fire could enhance prey abundance and access to prey by creating patchy openings within otherwise closed forest canopy and by increasing habitat edges.”
Hierarchical patterns of symbiotic orchid germination linked to adult proximity and environmental gradients (2007, background): “An important step for converting the growing understanding of species’ basic biology into a predictive capacity of population dynamics is to design studies that link important demographic stages to underlying driving variables while explicitly quantifying the uncertainties of predictions ( Franklin ”
APPROXIMATING VARIANCE OF DEMOGRAPHIC PARAMETERS USING THE DELTA METHOD: A REFERENCE FOR AVIAN BIOLOGISTS (2007, background): “White et al. (1982) and Franklin et al. (2000) provide valuable overviews of the difference between sampling and process variation.”
A habitat-based framework for grizzly bear conservation in Alberta (2006, unknown): “Applications of such models include climate-change assessments (Tellez-Valdes and Davila-Aranda, 2003), restoration or range expansion (Mladenoff et al., 1995; Boyce and Waller, 2003), ecological risk assessment (McDonald and McDonald, 2002), and conservation gaps or reserve design ( Flather et al.,”
Application of random effects to the study of resource selection by animals. (2006, background): “Although we focused on marginal effects (population-level) here, mixed-effect models provide a powerful approach for examining evolutionary processes and questions related to the fitness consequences of individual-level variation in studies of resource selection (Franklin et al. 2000).”
IDENTIFYING BREEDING HABITAT FOR THE IBERIAN LYNX: INFERENCES FROM A FINE‐SCALE SPATIAL ANALYSIS (2003, background): “…like number of breeding females per area unit, number of offspring per female, etc. Spatial variation in quality of breeding habitats is of primary contemporary concern for our understanding of population dynamics and persistence in landscapes (Murphy et al. 1990, Franklin et al. 2000).”
MEASURING HABITAT QUALITY: A REVIEW (2007, background): “For example, Holmes et al. (1996) discovered that high shrub density was associated with high bird density, high per capita fledging success, and low mortality (or emigration) for Black-throated Blue Warblers in New Hampshire; Franklin et al. (2000) confirmed that the highest reproductive and surviv”
NEST DENSITIES OF CAVITY-NESTING BIRDS IN RELATION TO POSTFIRE SALVAGE LOGGING AND TIME SINCE WILDFIRE (2007, background): “We identified three possible trajectories for trends in nest densities: 1) linear (numbers increase over the study period); 2) pseudothreshold (numbers reach a carrying capacity; Franklin et al. 2000); and 3) peaked (numbers peak at four to five years postfire).”