Next‐generation restoration for sage‐grouse: a framework for visualizing local conifer cuts within a landscape context

Abstract The expansion of coniferous trees into sagebrush ecosystems is a major driver of habitat loss and fragmentation, resulting in negative impacts to wildlife. Greater sage‐grouse (Centrocercus urophasianus) respond directly to conifer expansion through decreased breeding activity, nesting, and...

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Main Authors: Jason R. Reinhardt, David E. Naugle, Jeremy D. Maestas, Brady Allred, Jeffrey Evans, Michael Falkowski
Format: Article
Language:English
Published: Wiley 2017-07-01
Series:Ecosphere
Subjects:
Online Access:https://doi.org/10.1002/ecs2.1888
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author Jason R. Reinhardt
David E. Naugle
Jeremy D. Maestas
Brady Allred
Jeffrey Evans
Michael Falkowski
author_facet Jason R. Reinhardt
David E. Naugle
Jeremy D. Maestas
Brady Allred
Jeffrey Evans
Michael Falkowski
author_sort Jason R. Reinhardt
collection DOAJ
description Abstract The expansion of coniferous trees into sagebrush ecosystems is a major driver of habitat loss and fragmentation, resulting in negative impacts to wildlife. Greater sage‐grouse (Centrocercus urophasianus) respond directly to conifer expansion through decreased breeding activity, nesting, and overall survival; thus, small amounts of conifer expansion can have significant impacts on sage‐grouse habitat and populations. To this end, conservation partners have collaborated across private and public lands to reduce the threat of conifer expansion through targeted removal of conifer trees. Here, we demonstrate the use of the Marxan framework to incorporate important ecosystem attributes in the prioritization of conifer removal within the Oregon range of sage‐grouse. We prioritized conifer removal relative to three separate goals: (1) enhancement of existing sage‐grouse breeding, nesting, and early brood‐rearing habitats; (2) facilitation of sage‐grouse movement between breeding and brood‐rearing habitats; and (3) improvement of connectivity among sage‐grouse priority areas for conservation (PACs). Optimization models successfully identified areas with low conifer canopy cover, high resilience and resistance to wildfire and annual grass invasion, and high bird abundance to enhance sage‐grouse habitat. The inclusion of mesic resources resulted in further prioritization of areas that were closer to such resources, but also identified potential pathways that connected breeding habitats to the late brood‐rearing habitats associated with mesic areas. Examining areas outside of PACs resulted in the selection of potential corridors to facilitate connectivity; although areas with low conifer cover were selected similarly to the other optimization models, areas with high cover were also chosen to be able to enhance connectivity. Areas identified by optimization models were largely consistent with and overlapped ongoing conifer removal efforts in the Warner Mountains of south‐central Oregon. Land ownership of preferential areas selected by models varied with priority goals and followed general ownership patterns of the region, with public lands managed by the Bureau of Land Management and private lands being selected the most. The increased availability of landscape‐level datasets and assessment tools in sagebrush ecosystems can reduce the time and cost of both planning and implementation of habitat projects involving conifer removal. Most importantly, incorporating these new datasets and tools can supplement expert‐based knowledge to maximize benefits to sagebrush and sage‐grouse conservation.
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spelling doaj.art-56772a4d4ccf4ccbb23ad87b8b989a762023-02-10T07:33:12ZengWileyEcosphere2150-89252017-07-0187n/an/a10.1002/ecs2.1888Next‐generation restoration for sage‐grouse: a framework for visualizing local conifer cuts within a landscape contextJason R. Reinhardt0David E. Naugle1Jeremy D. Maestas2Brady Allred3Jeffrey Evans4Michael Falkowski5Department of Forest Resources University of Minnesota Minneapolis Minnesota 55108 USAWildlife Biology Program University of Montana Missoula Montana 59812 USANatural Resources Conservation Service Redmond Oregon 97756 USACollege of Forestry and Conservation University of Montana Missoula Montana 59812 USAThe Nature Conservancy Laramie Wyoming 82070 USADepartment of Forest Resources University of Minnesota Minneapolis Minnesota 55108 USAAbstract The expansion of coniferous trees into sagebrush ecosystems is a major driver of habitat loss and fragmentation, resulting in negative impacts to wildlife. Greater sage‐grouse (Centrocercus urophasianus) respond directly to conifer expansion through decreased breeding activity, nesting, and overall survival; thus, small amounts of conifer expansion can have significant impacts on sage‐grouse habitat and populations. To this end, conservation partners have collaborated across private and public lands to reduce the threat of conifer expansion through targeted removal of conifer trees. Here, we demonstrate the use of the Marxan framework to incorporate important ecosystem attributes in the prioritization of conifer removal within the Oregon range of sage‐grouse. We prioritized conifer removal relative to three separate goals: (1) enhancement of existing sage‐grouse breeding, nesting, and early brood‐rearing habitats; (2) facilitation of sage‐grouse movement between breeding and brood‐rearing habitats; and (3) improvement of connectivity among sage‐grouse priority areas for conservation (PACs). Optimization models successfully identified areas with low conifer canopy cover, high resilience and resistance to wildfire and annual grass invasion, and high bird abundance to enhance sage‐grouse habitat. The inclusion of mesic resources resulted in further prioritization of areas that were closer to such resources, but also identified potential pathways that connected breeding habitats to the late brood‐rearing habitats associated with mesic areas. Examining areas outside of PACs resulted in the selection of potential corridors to facilitate connectivity; although areas with low conifer cover were selected similarly to the other optimization models, areas with high cover were also chosen to be able to enhance connectivity. Areas identified by optimization models were largely consistent with and overlapped ongoing conifer removal efforts in the Warner Mountains of south‐central Oregon. Land ownership of preferential areas selected by models varied with priority goals and followed general ownership patterns of the region, with public lands managed by the Bureau of Land Management and private lands being selected the most. The increased availability of landscape‐level datasets and assessment tools in sagebrush ecosystems can reduce the time and cost of both planning and implementation of habitat projects involving conifer removal. Most importantly, incorporating these new datasets and tools can supplement expert‐based knowledge to maximize benefits to sagebrush and sage‐grouse conservation.https://doi.org/10.1002/ecs2.1888coniferjuniperlandscapeMarxanoptimizationpinyon
spellingShingle Jason R. Reinhardt
David E. Naugle
Jeremy D. Maestas
Brady Allred
Jeffrey Evans
Michael Falkowski
Next‐generation restoration for sage‐grouse: a framework for visualizing local conifer cuts within a landscape context
Ecosphere
conifer
juniper
landscape
Marxan
optimization
pinyon
title Next‐generation restoration for sage‐grouse: a framework for visualizing local conifer cuts within a landscape context
title_full Next‐generation restoration for sage‐grouse: a framework for visualizing local conifer cuts within a landscape context
title_fullStr Next‐generation restoration for sage‐grouse: a framework for visualizing local conifer cuts within a landscape context
title_full_unstemmed Next‐generation restoration for sage‐grouse: a framework for visualizing local conifer cuts within a landscape context
title_short Next‐generation restoration for sage‐grouse: a framework for visualizing local conifer cuts within a landscape context
title_sort next generation restoration for sage grouse a framework for visualizing local conifer cuts within a landscape context
topic conifer
juniper
landscape
Marxan
optimization
pinyon
url https://doi.org/10.1002/ecs2.1888
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