Defining Landscape-Scale Collaboration as Used to Restore Forests and Reduce Catastrophic Wildfires

被引:0
|
作者
DuPraw, Marcelle Elise [1 ]
机构
[1] Nova Southeastern Univ, Ft Lauderdale, FL 33314 USA
关键词
Landscape-Scale Collaboration; Forest Resource Management; Wildfire; Collaborative Governance; Grounded Theory;
D O I
暂无
中图分类号
C [社会科学总论];
学科分类号
03 ; 0303 ;
摘要
In this article, I explore the distinctive characteristics of landscape-scale collaboration in the context of forest resource management in the United States. The United States (US) is experiencing a significant increase in acres burned by wildfire in the wildland-urban interface zone, exacting a heavy toll on human life, health, property, and livelihoods. The US Forest Service's Collaborative Forest Landscape Restoration (CFLR) Program demonstrates an effective approach to reducing risk of catastrophic wildfire through collaborative forest restoration work at the landscape scale. This is the first in a series of articles building toward a grounded theory to guide development of the capacities needed to collaborate at this scale. The study is based on thirteen interviews and nine focus groups with CFLR Program participants. This article addresses the research question: What is unique about collaborating at the landscape scale? Findings include five characteristics that together define this form of collaboration and insights on how participants framed their focal landscapes. I explain the catalyst for these collaboratives, scope of the study, and context for my involvement. I review pertinent literature and then describe the methods I employed in this study. Finally, I present and discuss my findings and offer suggestions for further research and management recommendations. Subsequent articles in this series will identify the capacities needed to collaborate in this context, present a theory informing strategies for cultivating these capacities, offer additional management and policy recommendations, and suggest curricular implications.
引用
收藏
页码:2774 / 2816
页数:43
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