健康的森林,健康的人:遥感和监测支持泰国社区林业的实施

Eric T. Kaiser, K. Roberts, Jamlong Pawkham, Bunsak Thongdi, R. Morikawa, Doug Satre
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引用次数: 5

摘要

泰国是世界上森林破坏率最高的国家之一,一直面临着制定政策以减少森林栖息地丧失的压力。政府的回应是将森林指定为保护区,限制森林居民社区的进入和使用,并保持驱逐的威胁。这些边缘化社区经常被指责为森林退化的罪魁祸首,尽管经验数据表明,森林社区往往是解决方案的一部分,而不是问题的一部分。社区林业(CF)为村庄提供了一个机会,可以同时可持续地管理林地,并提高其生活水平。我们表明,卫星和陆基测绘和监测工具可以显著提高CF计划的有效性。海陆琅村从20世纪70年代末开始实施CF计划,以保护其林地并满足居民的需求。2006年,两个非政府组织“高地整体发展项目”和“有目的的植物”被邀请到该村,以加强、评估和记录该项目,希望获得正式的土地所有权。从2007年开始,基于社区的测绘工作利用全球定位系统(GPS)数据收集和地理信息系统(GIS)技术,根据当地的理解记录了森林边界。项目的社区发展和技术改进仍在继续,最终于2011年对森林管理的有效性和对居民生计的影响进行了评估。作为评估的一部分,对归一化植被指数(NDVI)数据进行分析,以反映CF方案对森林植被的总体影响。我们报告森林保持健康,社区生活水平显著提高。我们建议进一步发展遥感和监测方法,以衡量长期趋势并确定需要进一步改进的领域。本文提供的证据从经验上证明,地方森林资源提供了有效、可持续的森林治理和潜在的可扩展森林管理解决方案,可转移到其他森林居住社区。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Healthy Forest, Healthy People: Remote Sensing and Monitoring Support Implementation of Community Forestry in Thailand
Thailand, with one of the world's highest rates of forest destruction, has been under pressure to enact policies to reduce the loss of forest habitat. The government has responded by designating forests as protected areas, restricting access and use for the forest-dwelling communities and maintaining a threat of eviction. These marginalized communities frequently receive the blame for forest degradation, regardless of empirical data that indicates forest communities are more often part of the solution than part of the problem. Community Forestry (CF) presents an opportunity for a village to simultaneously manage forest land sustainably, and improve its standard of living. We show that satellite and land-based mapping and monitoring tools can significantly improve the effectiveness of a CF program. Haui Lu Luang village began implementing its CF program in the late 1970's to preserve its forest land and meet the needs of its residents. Two non-governmental organizations, Upland Holistic Development Project and Plant With Purpose, were invited to the village in 2006 to enhance, evaluate and document the program with the hope of gaining formalized land tenure rights. Starting in 2007, community-based mapping efforts, using Global Positioning System (GPS) data collection and Geographic Information System (GIS) technology, documented forest boundaries according to local understanding. Community development and technical improvements to the program continued, culminating in a 2011 assessment of the effectiveness of the forest management and the effects on the livelihoods of the residents. As a part of the assessment Normalized Difference Vegetation Index (NDVI) data were analyzed to indicate the overall effect of the CF program on the forest vegetation. We report sustained forest health and significant improvements in community standard of living. We recommend the further development of remote sensing and monitoring methods to measure long-term trends and identify areas for further improvement. Evidence presented here demonstrates empirically that local CF provides effective, sustainable forest governance and a potentially scalable forest management solution, transferable to other forest-dwelling communities.
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