Adaptive Management and Social Learning in Collaborative and Community-Based Monitoring: a Study of Five Community-Based Forestry Organizations in the western USA

Adaptive Management and Social Learning in Collaborative and Community-Based Monitoring: a Study of Five Community-Based Forestry Organizations in the western USA
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协作和社区监测中的适应性管理和社会学习:对美国西部五个社区林业组织的研究

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发表时间:
2008
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通讯作者:
V. Sturtevant
V. Sturtevant
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作者:
M. Fernández;H. Ballard;V. Sturtevant

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协作监测和社区监测越来越频繁,但很少有研究审查这些监测方法的过程和结果。我们研究了18个合作或社区为基础的生态评估或监测项目进行的5个社区为基础的林业组织(CBF),调查的目标,过程和CBF组织的合作生态监测的结果。我们发现,协作监测可以导致不同参与者之间的共享生态理解,建立内部信任和外部信誉,促进社会学习和社区建设,并推进适应性管理。能力建设基金在招募和维持社区参与监测、建设监测所需的技术能力以及将监测结果反馈给更广泛的社区方面遇到了挑战。我们的研究结果表明,在监测过程中的关键点涉及不同的,有时是敌对的利益,可以帮助解决冲突,促进社会学习,同时也加强社会和生态系统之间的联系,通过改善管理的信息基础和提高集体意识的相互依存的人类和自然森林社区。
Collaborative and community-based monitoring are becoming more frequent, yet few studies have examined the process and outcomes of these monitoring approaches. We studied 18 collaborative or community-based ecological assessment or monitoring projects undertaken by five community-based forestry organizations (CBFs), to investigate the objectives, process, and outcomes of collaborative ecological monitoring by CBF organizations. We found that collaborative monitoring can lead to shared ecological understanding among diverse participants, build trust internally and credibility externally, foster social learning and community-building, and advance adaptive management. The CBFs experienced challenges in recruiting and sustaining community participation in monitoring, building needed technical capacity for monitoring, and communicating monitoring results back to the broader community. Our results suggest that involving diverse and sometimes adversarial interests at key points in the monitoring process can help resolve conflicts and advance social learning, while also strengthening the link between social and ecological systems by improving the information base for management and increasing collective awareness of the interdependence of human and natural forest communities.