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Kachergis, Emily J.; Bureau of Land Management, Denver, Colorado; emily.kachergis@gmail.com; Knapp, Corrine N.; Alaska Center for Climate and Policy; corrieknapp@yahoo.com; Fernandez-Gimenez, Maria E.; Department of Forest and Rangeland Stewardship, Colorado State University; Maria.Fernandez-Gimenez@colostate.edu; Ritten, John P.; Department of Agricultural and Applied Economics, University of Wyoming; John.Ritten@uwyo.edu; Pritchett, James G.; Department of Agricultural and Resource Economics, Colorado State University; James.Pritchett@colostate.edu; Parsons, Jay; Western Center for Integrated Resource Management, Colorado State University; Jay.Parsons@colostate.edu; Hibbs, Willow; Wyoming Game and Fish Department and USDA-NRCS; Willow.Hibbs@wy.usda.gov; Roath, Roy; Department of Forest and Rangeland Stewardship, Colorado State University; Roy.Roath@colostate.edu. |
Building models is an important way of integrating knowledge. Testing and updating models of social-ecological systems can inform management decisions and, ultimately, improve resilience. We report on the outcomes of a six-year, multidisciplinary model development process in the sagebrush steppe, USA. We focused on creating state-and-transition models (STMs), conceptual models of ecosystem change that represent nonlinear dynamics and are being adopted worldwide as tools for managing ecosystems. STM development occurred in four steps with four distinct sets of models: (1) local knowledge elicitation using semistructured interviews; (2) ecological data collection using an observational study; (3) model integration using participatory workshops; and (4)... |
Tipo: Peer-Reviewed Reports |
Palavras-chave: Adaptive management; Ecology; Ecosystem dynamics; Knowledge integration; Participatory research; Rangeland; Sagebrush steppe. |
Ano: 2013 |
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Fleischman, Forrest; Texas A&M University, Department of Ecosystem Science & Management; forrestf@tamu.edu; Briske, David D.; Texas A&M University, Department of Ecosystem Science & Management; dbriske@tamu.edu. |
Successful natural resource management is dependent on effective knowledge exchange and utilization. Local/traditional/indigenous knowledge derived from place-based experience and scientific knowledge generated by systematic inquiry are the most commonly recognized knowledge domains. However, we propose that many natural resource decisions are not based on local or scientific knowledge, but rather on a little recognized domain that we term professional ecological knowledge (PEK). Professional ecological knowledge is founded upon codification of broad ecological principles, but not necessarily scientific evidence, to legitimize agency programs, support operational efficiency, and encourage user compliance. However, in spite of these benefits, PEK may reduce... |
Tipo: Peer-Reviewed Reports |
Palavras-chave: Government agencies; Knowledge domains; Knowledge integration; Local knowledge; Scientific knowledge; Science-policy gap. |
Ano: 2016 |
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