From partnerships to networks: new approaches for measuring U.S. National Heritage Area effectiveness.
National Heritage Areas (NHAs) are an alternative and increasingly popular form of protected area management in the United States. NHAs seek to integrate environmental objectives with community and economic objectives at regional or landscape scales. NHA designations have increased rapidly in the last 20 years, generating a substantial need for evaluative information about (a) how NHAs work; (b) outcomes associated with the NHA process; and (c) the costs and benefits of investing public moneys into the NHA approach. Qualitative evaluation studies recently conducted at three NHAs have identified the importance of understanding network structure and function in the context of evaluating NHA management effectiveness. This article extends these case studies by examining quantitative network data from each of the sites. The authors analyze these data using both a descriptive approach and a statistically more robust approach known as exponential random graph modeling. Study findings indicate the presence of transitive structures and the absence of three-cycle structures in each of these networks. This suggests that these networks are relatively ''open,'' which may be desirable, given the uncertainty of the environments in which they operate. These findings also suggest, at least at the sites reported here, that the NHA approach may be an effective way to activate and develop networks of intersectoral organizational partners. Finally, this study demonstrates the utility of using quantitative network analysis to better understand the effectiveness of protected area management models that rely on partnership networks to achieve their intended outcomes.
Conservation Study Institute, National Park Service, VT 05405, USA. daniel.krymkowski@uvm.edu
Daniel N
DN
Laven
Daniel H
DH
Krymkowski
Curtis L
CL
Ventriss
Robert E
RE
Manning
Nora J
NJ
Mitchell
D000465:Algorithms; D003247:Conservation of Natural Resources / Q000379:methods* / Q000639:trends; D003299:Cooperative Behavior; D006801:Humans; D008390:Markov Chains; D017146:Models, Organizational; D036301:Qualitative Research; D012944:Social Support; D035502:Trust; D014481:United States