Conservation Program Participation and Adaptive Rangeland Decision-Making |
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| Authors: | M.N. Lubell B.B. Cutts L.M. Roche M. Hamilton J.D. Derner E. Kachergis K.W. Tate |
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| Affiliation: | 1. Professor, Department of Environmental Science and Policy, University of California, Davis, CA, 95616, USA;2. Assistant Professor, Department of Natural Resources and Environmental Sciences, University of Illinois at Urbana-Champaign, Champaign, IL 61820, USA;3. Postdoctoral Scholar, Department of Plant Sciences, University of California, Davis, CA, 95616, USA;4. Doctoral Student, Department of Environmental Science and Policy, University of California, Davis, CA, 95616, USA;5. Supervisory Research Rangeland Management Specialist and Research Leader, USDA-ARS Rangeland Resources Research Unit, Cheyenne, WY 82009, USA;6. Post-Doctoral Scholar, USDA-ARS Rangeland Resources Research Unit, Cheyenne, WY 82009, USA;7. Rangeland Watershed Specialist, Department of Plant Sciences, University of California, Davis, CA, 95616, USA.;1. Assistant Professor, USDA-ARS Jornada Experimental Range, New Mexico State University, Las Cruces, NM 88003, USA;2. Research Ecologist, USDA-ARS Jornada Experimental Range, New Mexico State University, Las Cruces, NM 88003, USA;3. Range Technician, USDA-ARS Jornada Experimental Range, New Mexico State University, Las Cruces, NM 88003, USA;4. Rangeland Management Specialist, Las Cruces District Office, Bureau of Land Management, Las Cruces, NM 88005, USA;5. Conservation Biologist, The Nature Conservancy, Santa Fe, NM 87501, USA;1. Assistant Professor, Department of Forest Resources & Environmental Conservation, Virginia Tech, Blacksburg, VA 24061, USA;2. Professor, Department of Agricultural Economics, Texas A&M University, College Station, TX 77843, USA;3. Professor, Department of Ecosystem Science & Management, Texas A&M University, College Station, TX 77843, USA;4. Director, Institute of Renewable Natural Resources, Texas A&M University, College Station, TX 77843, USA;5. Professor, Department of Wildlife and Fisheries Sciences, Texas Agricultural Experiment Station, Texas Cooperative Extension, Texas A&M University, College Station, TX 77843, USA;1. Quantitative Ecologist, Human Dimensions Research Program, USDA Forest Service Rocky Mountain Research Station, Fort Collins, CO 80526, USA;;2. Professor, Department of Ecosystem Science and Management, Texas A&M University, College Station, TX 77843, USA;;3. Rangeland Management Specialist, USDA-NRCS Jornada Experimental Range, New Mexico State University, Las Cruces, NM 88003, USA;;4. Research Ecologist, USDA-ARS Grassland, Soil and Water Research Laboratory, Temple, TX 76502, USA;;5. Distinguished Professor, Department of Agricultural Economics, Texas A&M University, College Station, TX 77843, USA;;6. Professor, Animal and Range Sciences Department, New Mexico State University, Las Cruces, NM 88003, USA.;1. Graduate Student, Department of Human Dimensions of Natural Resources, Colorado State University, Fort Collins, CO 80523, USA.;2. Assistant Professor, Department of Human Dimensions of Natural Resources, Colorado State University, Fort Collins, CO 80523, USA.;1. Supervisory Research Rangeland Management Specialist and Research Leader, USDA-ARS Rangeland Resources Research Unit, Cheyenne, WY 82009, USA;2. Ecologist, USDA-ARS Rangeland Resources Research Unit, Fort Collins, CO 80526, USA;3. Research Hydraulic Engineer, USDA-ARS Agricultural Systems Research Unit, Fort Collins, CO 80526, USA;4. Research Leader, USDA-ARS Agricultural Systems Research Unit, Fort Collins, CO 80526, USA |
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| Abstract: | ![]()
This paper analyzes rancher participation in conservation programs in the context of a social-ecological framework for adaptive rangeland decision-making. We argue that conservation programs are best understood as one of many strategies of adaptively managing rangelands in ways that sustain livelihoods and ecosystem services. The framework hypothesizes four categories of variables affecting conservation program participation: operation/operator characteristics, time horizon, social network connections, and social values. Based on a mail survey of California ranchers, multinomial logit models are used to estimate the impact of these variables on different levels of rancher involvement in conservation programs. The findings suggest that ranchers with larger amounts of land, an orientation towards the future, and who are opinion leaders with access to conservation information, are more likely to participate in conservation programs. |
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