Filters: Tags: northern goshawk (X)
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To investigate whether Northern Goshawk textit(Accipiter gentilis) reproduction is food-limited, we evaluated the reproductive output from 401 goshawk breeding opportunities on the Kaibab Plateau, Arizona during 1999-2002. Concurrently, we estimated densities of 10 goshawk prey species (seven birds, three mammals) using distance sampling. We then assessed the relationship between goshawk productivity (number of fledglings produced) and prey density within and among years by relating the contribution of individual prey species and total prey density to goshawk productivity. We also estimated the proportion of total diet and biomass for each species that contributed ?3% of all prey items. Total prey density was highly...
Categories: Publication;
Types: Citation,
Journal Citation;
Tags: Journal Of Raptor Research,
Predator?prey dynamics,
accipiter gentilis,
diet,
distance sampling,
This dataset presents current and future change agent models and combined future potential for change (PFC) within northern goshawk potentially suitable habitat.The northern goshawk potentially suitable habitat extent was determined using the SWReGAP Vertebrate Habitat Distribution Models for the northern goshawk clipped to the study area for the SLV-TP Landscape Assessment. This dataset presents current and future change agent models and combined future potential for change (PFC). Potential for change (PFC) was determined by calculating the maximum potential for change among all change agents within each 1 km reporting unit. Current and future landscape intactness (LCM_C_FZ and LCM_N_FZ) are based on measures of...
This dataset represents the aggregation of SWReGAP Vertebrate Habitat Distribution Models for the grassland fauna assemblage clipped to the study area for the SLV-TP Landscape Assessment. Mapping of terrestrial vertebrates focuses on linking a spatial representation of species-habitat matrices to geographic distribution. Each model is a combination of distribution from regional and state references in association with contiguous appropriate habitats. Habitats were based on a raster SWReGAP 1 acre MMU land cover data set, with hydrology habitats added in from USGS NHD dataset directly or through modeling. Habitat association information was obtained from various state, regional, and national references with updates...
This dataset presents current and future change agent models and combined future potential for change (PFC) within northern goshawk potentially suitable habitat.The northern goshawk potentially suitable habitat extent was determined using the SWReGAP Vertebrate Habitat Distribution Models for the northern goshawk clipped to the study area for the SLV-TP Landscape Assessment. This dataset presents current and future change agent models and combined future potential for change (PFC). Potential for change (PFC) was determined by calculating the maximum potential for change among all change agents within each 1 km reporting unit. Current and future landscape intactness (LCM_C_FZ and LCM_N_FZ) are based on measures of...
This dataset presents current and future change agent models and combined future potential for change (PFC) within northern goshawk potentially suitable habitat.The northern goshawk potentially suitable habitat extent was determined using the SWReGAP Vertebrate Habitat Distribution Models for the northern goshawk clipped to the study area for the SLV-TP Landscape Assessment. This dataset presents current and future change agent models and combined future potential for change (PFC). Potential for change (PFC) was determined by calculating the maximum potential for change among all change agents within each 1 km reporting unit. Current and future landscape intactness (LCM_C_FZ and LCM_N_FZ) are based on measures of...
This dataset presents current and future change agent models and combined future potential for change (PFC) within northern goshawk potentially suitable habitat.The northern goshawk potentially suitable habitat extent was determined using the SWReGAP Vertebrate Habitat Distribution Models for the northern goshawk clipped to the study area for the SLV-TP Landscape Assessment. This dataset presents current and future change agent models and combined future potential for change (PFC). Potential for change (PFC) was determined by calculating the maximum potential for change among all change agents within each 1 km reporting unit. Current and future landscape intactness (LCM_C_FZ and LCM_N_FZ) are based on measures of...
This dataset presents current and future change agent models and combined future potential for change (PFC) within northern goshawk potentially suitable habitat.The northern goshawk potentially suitable habitat extent was determined using the SWReGAP Vertebrate Habitat Distribution Models for the northern goshawk clipped to the study area for the SLV-TP Landscape Assessment. This dataset presents current and future change agent models and combined future potential for change (PFC). Potential for change (PFC) was determined by calculating the maximum potential for change among all change agents within each 1 km reporting unit. Current and future landscape intactness (LCM_C_FZ and LCM_N_FZ) are based on measures of...
This dataset represents Northern Goshawk Areas compiled for the U.S Bureau of Land Management's Western Oregon Plan Revision.
Adult movement and natal dispersal data demonstrate that Northern Goshawks (Accipiter gentilis) are able to travel over long distances, suggesting a large functional population. However, these data are unable to determine whether these movements contribute to gene flow among adjacent breeding areas. We used eight microsatellite DNA loci and mitochondrial DNA control-region sequence data to assess population structure of Northern Goshawks breeding in Utah. Goshawks had moderate levels of genetic variation at microsatellite loci (observed heterozygosity = 50%), similar to levels found in other medium-sized, highly mobile birds. Overall estimates of interpopulation variance in microsatellite alleles (FST = 0.011) and...
Categories: Publication;
Types: Citation,
Journal Citation;
Tags: Accipiter gentilis,
Cooper Ornithological Society,
Northern Goshawk,
The Condor,
gene flow,
We collected blood for allozyme analysis from Northern Goshawks (Accipiter gentilis atricapillus) on the Kaibab Plateau in northern Arizona during 1991-1993 to quantify frequency of extra-pair fertilizations (EPFs). Northern Goshawks are socially monogamous, territorial, noncolonial, synchronous breeders, and their nests are relatively far apart, characteristics that suggest that EPFs should be low. We sampled 103 adults and 122 nestlings from 64 nests. Both putative parents were sampled at 39 nests, but we were able to capture and sample only one putative parent at 25 other nests (84%, female only: 16%, male only). Of the 39 complete families sampled, only 1 of 77 (1.3%) nestlings (or in 1 of 39 clutches, 2.6%)...
Categories: Publication;
Types: Citation,
Journal Citation;
Tags: Condo,
accipiter gentilis,
allozymes,
birds,
copulation behavior,
This dataset presents current and future change agent models and combined future potential for change (PFC) within northern goshawk potentially suitable habitat.The northern goshawk potentially suitable habitat extent was determined using the SWReGAP Vertebrate Habitat Distribution Models for the northern goshawk clipped to the study area for the SLV-TP Landscape Assessment. This dataset presents current and future change agent models and combined future potential for change (PFC). Potential for change (PFC) was determined by calculating the maximum potential for change among all change agents within each 1 km reporting unit. Current and future landscape intactness (LCM_C_FZ and LCM_N_FZ) are based on measures of...
This dataset represents the aggregation of SWReGAP Vertebrate Habitat Distribution Models for the elk and mule deer clipped to the study area for the SLV-TP Landscape Assessment. Mapping of terrestrial vertebrates focuses on linking a spatial representation of species-habitat matrices to geographic distribution. Each model is a combination of distribution from regional and state references in association with contiguous appropriate habitats. Habitats were based on a raster SWReGAP 1 acre MMU land cover data set, with hydrology habitats added in from USGS NHD dataset directly or through modeling. Habitat association information was obtained from various state, regional, and national references with updates from scientific...
This dataset presents current and future change agent models and combined future potential for change (PFC) within northern goshawk potentially suitable habitat.The northern goshawk potentially suitable habitat extent was determined using the SWReGAP Vertebrate Habitat Distribution Models for the northern goshawk clipped to the study area for the SLV-TP Landscape Assessment. This dataset presents current and future change agent models and combined future potential for change (PFC). Potential for change (PFC) was determined by calculating the maximum potential for change among all change agents within each 1 km reporting unit. Current and future landscape intactness (LCM_C_FZ and LCM_N_FZ) are based on measures of...
This dataset presents current and future change agent models and combined future potential for change (PFC) within northern goshawk potentially suitable habitat.The northern goshawk potentially suitable habitat extent was determined using the SWReGAP Vertebrate Habitat Distribution Models for the northern goshawk clipped to the study area for the SLV-TP Landscape Assessment. This dataset presents current and future change agent models and combined future potential for change (PFC). Potential for change (PFC) was determined by calculating the maximum potential for change among all change agents within each 1 km reporting unit. Current and future landscape intactness (LCM_C_FZ and LCM_N_FZ) are based on measures of...
This dataset presents current and future change agent models and combined future potential for change (PFC) within northern goshawk potentially suitable habitat.The northern goshawk potentially suitable habitat extent was determined using the SWReGAP Vertebrate Habitat Distribution Models for the northern goshawk clipped to the study area for the SLV-TP Landscape Assessment. This dataset presents current and future change agent models and combined future potential for change (PFC). Potential for change (PFC) was determined by calculating the maximum potential for change among all change agents within each 1 km reporting unit. Current and future landscape intactness (LCM_C_FZ and LCM_N_FZ) are based on measures of...
This dataset presents current and future change agent models and combined future potential for change (PFC) within northern goshawk potentially suitable habitat.The northern goshawk potentially suitable habitat extent was determined using the SWReGAP Vertebrate Habitat Distribution Models for the northern goshawk clipped to the study area for the SLV-TP Landscape Assessment. This dataset presents current and future change agent models and combined future potential for change (PFC). Potential for change (PFC) was determined by calculating the maximum potential for change among all change agents within each 1 km reporting unit. Current and future landscape intactness (LCM_C_FZ and LCM_N_FZ) are based on measures of...
Effective wildlife conservation strategies require an understanding of how fluctuating environmental conditions affect sensitive life stages. As part of a long-term study, we examined post-fledging and post-independence survival of 89 radio-marked juvenile Northern Goshawks (Accipiter gentilis) produced from 48 nests in northern Arizona, USA, during 1998-2001. Information-theoretic methods were used to examine within- and among-year variation in survival relative to environmental (prey abundance, weather), territory (hatching date, brood size), and individual (gender, body mass) sources of variation. The results support age- and cohort-specific differences in survival that were best explained by behaviors occurring...
Categories: Publication;
Types: Citation,
Journal Citation;
Tags: Accipiter gentilis,
Arizona,
Ecological Applications,
Northern Goshawk,
dispersal,
This dataset presents current and future change agent models and combined future potential for change (PFC) within northern goshawk potentially suitable habitat.The northern goshawk potentially suitable habitat extent was determined using the SWReGAP Vertebrate Habitat Distribution Models for the northern goshawk clipped to the study area for the SLV-TP Landscape Assessment. This dataset presents current and future change agent models and combined future potential for change (PFC). Potential for change (PFC) was determined by calculating the maximum potential for change among all change agents within each 1 km reporting unit. Current and future landscape intactness (LCM_C_FZ and LCM_N_FZ) are based on measures of...
This dataset presents current and future change agent models and combined future potential for change (PFC) within northern goshawk potentially suitable habitat.The northern goshawk potentially suitable habitat extent was determined using the SWReGAP Vertebrate Habitat Distribution Models for the northern goshawk clipped to the study area for the SLV-TP Landscape Assessment. This dataset presents current and future change agent models and combined future potential for change (PFC). Potential for change (PFC) was determined by calculating the maximum potential for change among all change agents within each 1 km reporting unit. Current and future landscape intactness (LCM_C_FZ and LCM_N_FZ) are based on measures of...
This dataset presents current and future change agent models and combined future potential for change (PFC) within northern goshawk potentially suitable habitat.The northern goshawk potentially suitable habitat extent was determined using the SWReGAP Vertebrate Habitat Distribution Models for the northern goshawk clipped to the study area for the SLV-TP Landscape Assessment. This dataset presents current and future change agent models and combined future potential for change (PFC). Potential for change (PFC) was determined by calculating the maximum potential for change among all change agents within each 1 km reporting unit. Current and future landscape intactness (LCM_C_FZ and LCM_N_FZ) are based on measures of...
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