Models for Planning Wildlife Conservation in Large Landscapes, 2009
Page 26. CHAPTER 1 General Principles for Developing Landscape Models for Wildlife Conservation J... more Page 26. CHAPTER 1 General Principles for Developing Landscape Models for Wildlife Conservation Joshua J. Millspaugh, Robert A. Gitzen, David R. Larsen, Michael A. Larson, and Frank R. Thompson, III Models are abstract ...
Optimization and simulation modeling can be used to account for demographic and economic factors ... more Optimization and simulation modeling can be used to account for demographic and economic factors simultaneously in a comprehensive analysis of endangered-species population recovery. This is a powerful approach that is broadly applicable but under-utilized in conservation biology. We applied the approach to a population recovery analysis of threatened and endangered piping plovers (Charadrius melodus) in the Great Plains of North America. Predator exclusion increases the reproductive success of piping plovers, but the most cost-efficient strategy of applying predator exclusion and the number of protected breeding pairs necessary to prevent further population declines were unknown. We developed a linear programming model to define strategies that would either maximize fledging rates or minimize financial costs by allocating plover pairs to 1 of 6 types of protection. We evaluated the optimal strategies using a stochastic population simulation model. The minimum cost to achieve a 20% ...
Models for Planning Wildlife Conservation in Large Landscapes, 2009
... on discrete categories of index values and those based on ambiguous, or fuzzy, categories (Hi... more ... on discrete categories of index values and those based on ambiguous, or fuzzy, categories (Hill ... species in an area are less complex and require less data than an HQI model ... site but not when tested with independent data from another site; logistic regression and Mahalanobis ...
ABSTRACT Effective management of Ruffed Grouse (Bonasa umbellus) populations requires a full unde... more ABSTRACT Effective management of Ruffed Grouse (Bonasa umbellus) populations requires a full understanding of chick production. Previous reports of nest survival for Ruffed Grouse are biased because they did not account for successful nests being more likely to be found, and the role of habitat quality in determining nest survival is unknown. We determined survival rates of Ruffed Grouse nests in northern lower Michigan using the less biased Mayfield estimator, defined differences between first and second nests, and compared the local habitat characteristics of successful and unsuccessful nests. Median hatching dates were 10 June for first nests (n = 34) and 1 July for second nests (n = 6). First nests had a lower survival rate (0.442, 95% CI = 0.270–0.716), a higher mean clutch size (12.7 +/- 0.3 SE), and higher egg hatching rate (0.960, 95% CI = 0.900–0.997) than did second nests [nest survival = 0.788 (95% CI = 0.491–1.00), clutch size = 7.3 +/- 0.3 eggs, and hatching rate = 0.826 (95% CI = 0.718–0.925)]. Nest survival, annual production (3.4 hatchling females/adult female, 95% CI = 2.3–5.0), and fall recruitment (1.0 juvenile female/adult female, 95% CI = 0.3–2.4) were less than previously reported estimates. Habitat characteristics at nest sites varied widely and did not differ appreciably between successful and unsuccessful nests.
Page 1. SURVIVAL OF RUFFED GROUSE CHICKS IN NORTHERN MICHIGAN MICHAEL A. LARSON,1,2 Department of... more Page 1. SURVIVAL OF RUFFED GROUSE CHICKS IN NORTHERN MICHIGAN MICHAEL A. LARSON,1,2 Department of Fisheries and Wildlife, Michigan State University, East Lansing, MI 48824, USA MARGARET E. CLARK ...
Page 1. POPULATION VIABILITY OF PIPING PLOVERS: EFFECTS OF PREDATOR EXCLUSION MICHAEL A. LARSON,&... more Page 1. POPULATION VIABILITY OF PIPING PLOVERS: EFFECTS OF PREDATOR EXCLUSION MICHAEL A. LARSON,' Department of Fisheries and Wildlife Sciences, University of Missouri, Columbia, MO 65211, USA MARK ...
... Michael A. Larson, Mark R. Ryan, Brian G. Root 1. ... They, S. Beckerman, M. Combs, R. DeForr... more ... Michael A. Larson, Mark R. Ryan, Brian G. Root 1. ... They, S. Beckerman, M. Combs, R. DeForrest, A. Drewes, D. Helmers, M. Slavinski, C. Struckoff, S. Taswell, J. Vogel, L. Weber, and R. Witthaus assisted with ... Burnham, KP, DR Anderson, GC White, C. Brownie, and KH Pollock. ...
Page 1. Techniques and Technology Note Landscape Habitat Suitability Index Software WILLIAM D. DI... more Page 1. Techniques and Technology Note Landscape Habitat Suitability Index Software WILLIAM D. DIJAK,1 United States Department of Agriculture Forest Service, Northern Research Station, 202 Anheuser-Busch Natural ...
Models for Planning Wildlife Conservation in Large Landscapes, 2009
Page 26. CHAPTER 1 General Principles for Developing Landscape Models for Wildlife Conservation J... more Page 26. CHAPTER 1 General Principles for Developing Landscape Models for Wildlife Conservation Joshua J. Millspaugh, Robert A. Gitzen, David R. Larsen, Michael A. Larson, and Frank R. Thompson, III Models are abstract ...
Optimization and simulation modeling can be used to account for demographic and economic factors ... more Optimization and simulation modeling can be used to account for demographic and economic factors simultaneously in a comprehensive analysis of endangered-species population recovery. This is a powerful approach that is broadly applicable but under-utilized in conservation biology. We applied the approach to a population recovery analysis of threatened and endangered piping plovers (Charadrius melodus) in the Great Plains of North America. Predator exclusion increases the reproductive success of piping plovers, but the most cost-efficient strategy of applying predator exclusion and the number of protected breeding pairs necessary to prevent further population declines were unknown. We developed a linear programming model to define strategies that would either maximize fledging rates or minimize financial costs by allocating plover pairs to 1 of 6 types of protection. We evaluated the optimal strategies using a stochastic population simulation model. The minimum cost to achieve a 20% ...
Models for Planning Wildlife Conservation in Large Landscapes, 2009
... on discrete categories of index values and those based on ambiguous, or fuzzy, categories (Hi... more ... on discrete categories of index values and those based on ambiguous, or fuzzy, categories (Hill ... species in an area are less complex and require less data than an HQI model ... site but not when tested with independent data from another site; logistic regression and Mahalanobis ...
ABSTRACT Effective management of Ruffed Grouse (Bonasa umbellus) populations requires a full unde... more ABSTRACT Effective management of Ruffed Grouse (Bonasa umbellus) populations requires a full understanding of chick production. Previous reports of nest survival for Ruffed Grouse are biased because they did not account for successful nests being more likely to be found, and the role of habitat quality in determining nest survival is unknown. We determined survival rates of Ruffed Grouse nests in northern lower Michigan using the less biased Mayfield estimator, defined differences between first and second nests, and compared the local habitat characteristics of successful and unsuccessful nests. Median hatching dates were 10 June for first nests (n = 34) and 1 July for second nests (n = 6). First nests had a lower survival rate (0.442, 95% CI = 0.270–0.716), a higher mean clutch size (12.7 +/- 0.3 SE), and higher egg hatching rate (0.960, 95% CI = 0.900–0.997) than did second nests [nest survival = 0.788 (95% CI = 0.491–1.00), clutch size = 7.3 +/- 0.3 eggs, and hatching rate = 0.826 (95% CI = 0.718–0.925)]. Nest survival, annual production (3.4 hatchling females/adult female, 95% CI = 2.3–5.0), and fall recruitment (1.0 juvenile female/adult female, 95% CI = 0.3–2.4) were less than previously reported estimates. Habitat characteristics at nest sites varied widely and did not differ appreciably between successful and unsuccessful nests.
Page 1. SURVIVAL OF RUFFED GROUSE CHICKS IN NORTHERN MICHIGAN MICHAEL A. LARSON,1,2 Department of... more Page 1. SURVIVAL OF RUFFED GROUSE CHICKS IN NORTHERN MICHIGAN MICHAEL A. LARSON,1,2 Department of Fisheries and Wildlife, Michigan State University, East Lansing, MI 48824, USA MARGARET E. CLARK ...
Page 1. POPULATION VIABILITY OF PIPING PLOVERS: EFFECTS OF PREDATOR EXCLUSION MICHAEL A. LARSON,&... more Page 1. POPULATION VIABILITY OF PIPING PLOVERS: EFFECTS OF PREDATOR EXCLUSION MICHAEL A. LARSON,' Department of Fisheries and Wildlife Sciences, University of Missouri, Columbia, MO 65211, USA MARK ...
... Michael A. Larson, Mark R. Ryan, Brian G. Root 1. ... They, S. Beckerman, M. Combs, R. DeForr... more ... Michael A. Larson, Mark R. Ryan, Brian G. Root 1. ... They, S. Beckerman, M. Combs, R. DeForrest, A. Drewes, D. Helmers, M. Slavinski, C. Struckoff, S. Taswell, J. Vogel, L. Weber, and R. Witthaus assisted with ... Burnham, KP, DR Anderson, GC White, C. Brownie, and KH Pollock. ...
Page 1. Techniques and Technology Note Landscape Habitat Suitability Index Software WILLIAM D. DI... more Page 1. Techniques and Technology Note Landscape Habitat Suitability Index Software WILLIAM D. DIJAK,1 United States Department of Agriculture Forest Service, Northern Research Station, 202 Anheuser-Busch Natural ...
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