Forest Bird Habitat Suitability Models and the Development of General Habitat Models
Author: Beatrice Van Horne
Publisher:
Published: 1991
Total Pages: 40
ISBN-13:
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Author: Beatrice Van Horne
Publisher:
Published: 1991
Total Pages: 40
ISBN-13:
DOWNLOAD EBOOKAuthor: Beatrice Van Horne
Publisher:
Published: 1991
Total Pages: 37
ISBN-13:
DOWNLOAD EBOOKHabitat Suitability Index (HSI) models were developed to assess the sensitivity of wildlife to habitat perturbations. Because most models consider a single species, their generality is limited. We evaluate the feasibility of combining such models for species occupying similar habitats to create more general models of wildlife-habitat relations. We base our evaluation on an analysis of HSI models for 16 forest bird species. Standardization of both measurement and definition of minimum area and life requisites is necessary to permit model aggregation. Validation should focus especially on assumptions about factors limiting population density and productivity and about how SI values are combined in equations to produce overall HSI values. We emphasize the importance of manipulative field experiments and model sensitivity analyses in such validation activities. We compare the 'bottom-up' approach, in which individual models are aggregated to develop more general models, to the 'top-down' approach of beginning with broad statements about a system and adding in detail only as it is needed. Any attempts to model wildlife-habitat interrelations, whether they apply to single species or suites of species, must also consider the importance of the spatial and temporal scales of resolution used and must treat habitat units as part of a larger landscape mosaic.
Author:
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Published: 1991
Total Pages:
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Published: 2007
Total Pages: 54
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Published: 2009
Total Pages: 195
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DOWNLOAD EBOOKEcoregional conservation planning for priority landbirds requires methods that explicitly link populations to habitat conditions at multiple scales. We developed Habitat Suitability Index (HSI) models to assess habitat quality for 40 priority bird species in the Central Hardwoods and West Gulf Coastal Plain/Ouachitas Bird Conservation Regions. The models incorporated both site and landscape environmental variables derived from one of six nationally consistent datasets: ecological subsections from the National Ecological Unit Hierarchy, National Land Cover Dataset, National Elevation Dataset, National Hydrography Dataset, State Soil Geographic Database, and Forest Inventory and Analysis data. We initially defi ned potential habitat for each species from unique landform, landcover, and successional age class combinations. Species-specific environmental variables identifi ed from the literature were used to refi ne initial habitat estimates. We verified models by comparing subsection-level HSI scores and Breeding Bird Survey (BBS) abundance via Spearman rank correlation. To validate models, we developed generalized linear models that predicted BBS abundance as a function of HSI score and Bird Conservation Region. We considered models that included a significant (P [less than or equal to] 0.100) positive coefficient on the BBS predictor to be valid and useful for conservation planning.
Author: U. S. Department U.S. Department of Agriculture
Publisher: CreateSpace
Published: 2015-01-02
Total Pages: 200
ISBN-13: 9781505813975
DOWNLOAD EBOOKEcoregional conservation planning for priority landbirds requires methods that explicitly link populations to habitat conditions at multiple scales. We developed Habitat Suitability Index (HSI) models to assess habitat quality for 40 priority bird species in the Central Hardwoods and West Gulf Coastal Plain/Ouachitas Bird Conservation Regions. The models incorporated both site and landscape environmental variables derived from one of six nationally consistent datasets: ecological subsections from the National Ecological Unit Hierarchy, National Land Cover Dataset, National Elevation Dataset, National Hydrography Dataset, State Soil Geographic Database, and Forest Inventory and Analysis data.
Author: Stephen Joseph Negri
Publisher:
Published: 1995
Total Pages: 236
ISBN-13:
DOWNLOAD EBOOKAuthor: Antoine Guisan
Publisher: Cambridge University Press
Published: 2017-09-14
Total Pages: 513
ISBN-13: 0521765137
DOWNLOAD EBOOKThis book introduces the key stages of niche-based habitat suitability model building, evaluation and prediction required for understanding and predicting future patterns of species and biodiversity. Beginning with the main theory behind ecological niches and species distributions, the book proceeds through all major steps of model building, from conceptualization and model training to model evaluation and spatio-temporal predictions. Extensive examples using R support graduate students and researchers in quantifying ecological niches and predicting species distributions with their own data, and help to address key environmental and conservation problems. Reflecting this highly active field of research, the book incorporates the latest developments from informatics and statistics, as well as using data from remote sources such as satellite imagery. A website at www.unil.ch/hsdm contains the codes and supporting material required to run the examples and teach courses.
Author: John A. Bissonette
Publisher: Springer Science & Business Media
Published: 2012-12-06
Total Pages: 419
ISBN-13: 1461219183
DOWNLOAD EBOOKWhile the research and management of wildlife has traditionally emphasised studies at smaller scales, it is now acknowledged that larger, landscape-level patterns strongly influence demographic processes in wild animal species. This book is the first to provide the conceptual basis for learning how larger scale patterns and processes can influence the biology and management of wildlife species. It is divided into three sections: Underlying Concepts, Landscape Metrics and Applications and Large Scale Management.
Author: Arthur W. Allen
Publisher:
Published: 1982
Total Pages: 16
ISBN-13:
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