A Proposed Research Emphasis to Overcome the Limits of Wildlife-Habitat Relationship Studies
By Michael L. Morrison. 2001
150 citations recorded by the source corpus.
Subfields: Ecological Modeling, Ecology, Nature and Landscape Conservation
View Paper: https://www.semanticscholar.org/paper/b9ce9d818606ea2b3057ecf9bddddd298e17eb1d
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Ecological Modeling
- M. Boyce
- Scott E. Nielsen
- Mark Hebblewhite
- Gordon B. Stenhouse
- Wilfried Thuiller
- Clément Calenge
- C. B. Meyer
- J. Kie
In Ecology
- M. Boyce
- Scott E. Nielsen
- J. Kie
- Mark Hebblewhite
- Ryan A. Long
- Gordon B. Stenhouse
- R. Terry Bowyer
- C. Anderson
In Nature and Landscape Conservation
- M. Boyce
- Mark Hebblewhite
- Ryan A. Long
- Wilfried Thuiller
- Scott E. Nielsen
- J. Kie
- Jacqui Frair
- C. B. Meyer
Citations in the corpus
- Application of random effects to the study of resource selection by animals. (2006, background): “Studies of resource selection of social animals in such settings have suffered from an inability to accommodate multiple levels of nesting (Garshelis 2000; Morrison 2001 ).”
- Interseasonal Movements of Greater Sage-Grouse, Migratory Behavior, and an Assessment of the Core Regions Concept in Wyoming (2012, unknown): “Defining and understanding animal-habitat relationships is a fundamental concept in ecology, and the implementation of conservation practices (Boyce and McDonald 1999, Morrison 2001, Brotons et al. 2004).”
- Grizzly bears and forestry II. Distribution of grizzly bear foods in clearcuts of west-central Alberta, Canada (2004, background): “Moreover, specific assessments of food resource availability allow for fine-level interpretations of selection and inferences of mechanism (Morrison, 2001).”
- MEASURING HABITAT QUALITY: A REVIEW (2007, methodology): “This descriptive approach to examining wildlife-habitat relationships is of limited use (Morrison 2001), and experimental work is underutilized to test hypotheses relating habitat quality to features of the landscape humans can potentially influence, such as vegetation cover, forest stand…”
- Habitat Restoration—Do We Know What We’re Doing? (2007, background): “Two distinct usages of the term habitat have emerged in recent decades, one that is organism specific and another that is land based (Corsi et al. 2000; Miller 2000; Morrison 2001b).”
- K-select analysis: a new method to analyse habitat selection in radio-tracking studies (2005, background): “Focusing on only one variable in habitat selection studies has therefore been criticized by many authors (Erickson et al., 1998; Morrison, 2001).”
- EFFECTS OF SUMMER‐AUTUMN NUTRITION AND PARTURITION DATE ON REPRODUCTION AND SURVIVAL OF ELK (2004, background): “Referring to wildlifehabitat studies, Morrison (2001) observed that “We seem to be stuck in a revolving framework of endless site- and time-specific studies,” and as a result, “our understanding of the causes of distribution, abundance, and performance are not advancing.””
- Habitat selection by mule deer during migration: effects of landscape structure and natural-gas development (2012, background): “Effective conservation and planning must account for the inherent dynamics of ecological processes and effects of anthropogenic disturbance on habitat use and availability (Morrison 2001, Pressey et al. 2007).”
- Development and testing of phenologically driven grizzly bear habitat models (2003, background): “Furthermore, there is no reason to believe that GIS and remote-sensing data are at the appropriate scale (spatial or temporal) at which animals select resources or even that such data are relevant (perceived) to the species (Lennon, 1999; Morrison, 2001).”
- Accuracy of resource selection functions across spatial scales (2006, background): “Unfortunately, factors rarely measured sometimes reduce effectiveness of the RSF for prediction, including resource availability, interactions with other species, historical biogeography, demographic stochasticity, detectability, and rarity of the species (O’Neil & Carey, 1986; Van Horne, 1986; Gars”
- QUANTILE REGRESSION REVEALS HIDDEN BIAS AND UNCERTAINTY IN HABITAT MODELS (2005, background): “Garshelis (2000) and Morrison (2001) both have argued for improving our knowledge of animal habitat relations by focusing modeling efforts on more specifically defined resources and relating them to demographic parameters such as survival and reproductive rates that ultimately contribute to…”