TY - JOUR
T1 - An integrated framework for science-based arid land management
AU - Herrick, J. E.
AU - Bestelmeyer, B. T.
AU - Archer, S.
AU - Tugel, A. J.
AU - Brown, J. R.
N1 - Funding Information:
This work was supported in part by the NSF Jornada LTER (DEB 0080412) and Ecosystems programs, the NASA Land Cover Land Use Change program, the Department of Defense Legacy program, the BLM, and the NRCS. We also gratefully acknowledge Dr. Ken Spaeth for his contributions to the NRI analyses, and to the staff of the New Mexico Nature Conservancy for their willingness to test parts of this framework. Laura Burkett and Justin Van Zee were responsible for the collection of much of the field data used to test the monitoring protocols. George Peacock, Rick Estell, Keirith Snyder, Sherm Karl, and Kara Hempy-Mayer provided helpful reviews of earlier drafts.
PY - 2006/4
Y1 - 2006/4
N2 - Science is frequently touted as the solution to dryland management problems, yet most management decisions are, by necessity, based primarily on expert knowledge and experience. This paper describes an integrated framework for organizing, synthesizing, and applying our growing understanding of aridland ecosystems using a flexible, multi-objective assessment, monitoring, and management approach. The framework is dual-purpose: (1) to coordinate the use of existing tools, resources, and diffuse knowledge, and (2) to facilitate the integration and application of new knowledge as it is developed. In particular, this framework must facilitate the integration of new knowledge about linkages among landscape units across scales. The framework includes five elements: (1) an ecological site-based approach for categorizing land based on soils and climate, (2) a repository for organizing existing data and knowledge about each ecological site, (3) conceptual models that organize information on the impacts of management and climate variability, and protocols for (4) assessing and (5) monitoring key ecosystem attributes fundamental to a variety of management objectives. Within this framework, basic and applied research are explicitly linked to management of arid and semi-arid ecosystems to more effectively articulate research questions and set research priorities.
AB - Science is frequently touted as the solution to dryland management problems, yet most management decisions are, by necessity, based primarily on expert knowledge and experience. This paper describes an integrated framework for organizing, synthesizing, and applying our growing understanding of aridland ecosystems using a flexible, multi-objective assessment, monitoring, and management approach. The framework is dual-purpose: (1) to coordinate the use of existing tools, resources, and diffuse knowledge, and (2) to facilitate the integration and application of new knowledge as it is developed. In particular, this framework must facilitate the integration of new knowledge about linkages among landscape units across scales. The framework includes five elements: (1) an ecological site-based approach for categorizing land based on soils and climate, (2) a repository for organizing existing data and knowledge about each ecological site, (3) conceptual models that organize information on the impacts of management and climate variability, and protocols for (4) assessing and (5) monitoring key ecosystem attributes fundamental to a variety of management objectives. Within this framework, basic and applied research are explicitly linked to management of arid and semi-arid ecosystems to more effectively articulate research questions and set research priorities.
KW - Adaptive management
KW - Ecological site descriptions
KW - Natural resource management
KW - Rangelands
KW - Thresholds
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U2 - 10.1016/j.jaridenv.2005.09.003
DO - 10.1016/j.jaridenv.2005.09.003
M3 - Article
AN - SCOPUS:31344442799
SN - 0140-1963
VL - 65
SP - 319
EP - 335
JO - Journal of Arid Environments
JF - Journal of Arid Environments
IS - 2
ER -