title: The importance of team functioning to natural resource planning outcomes.
abstract: In its recent history, the U.S. Forest Service is among many federal land management agencies struggling with questions concerning why its planning procedures are sometimes inefficient, perform poorly in the eyes of the public, and fail to deliver outputs that advance agency mission. By examining a representative sample of National Environmental Policy Act (NEPA) processes conducted by the agency between 2007 and 2009, we provide new insights into what drives outcomes in these planning processes. We examined team leaders' perceptions of the following outcomes: achievement of agency goals and NEPA mandates, process efficiency, public relations, and team outcomes. The most consistently important predictors of positive outcomes were team harmony and a clearly empowered team leader. Other factors, such as perceptions of the use of best science, a clear and unambiguous purpose and need, team turnover (personnel changes during the process), extra-agency engagement, and intra-agency relations, were also important, but played a less consistent role. The findings suggest the importance of empowering team leaders and team members through enhancing elements of discretion, responsibility, clear role definition, collaborative interdisciplinary deliberation, and perceived self-efficacy. The results also suggest the importance of genuine concern and respect for participating publics and effective inter-agency coordination.
authors.affiliation: Department of Forest Resources and Environmental Conservation (0324), Virginia Tech, 304 Cheatham Hall (0324), Blacksburg, VA 24061, USA. mjstern@vt.edu
authors.forename: Marc J
authors.initials: MJ
authors.lastname: Stern
authors.forename: S Andrew
authors.initials: SA
authors.lastname: Predmore
mesh_terms: D001290:Attitude; D003247:Conservation of Natural Resources; D058735:Environmental Policy; D016468:Forestry; D006077:Government Agencies; D006126:Group Processes; D006801:Humans; D007857:Leadership; D008962:Models, Theoretical; D012044:Regression Analysis; D014481:United States