Evaluating the ability of community-protected forests in Cambodia to prevent deforestation and degradation using temporal remote sensing data.
Evaluating the ability of community-protected forests in Cambodia to prevent deforestation and degradation using temporal remote sensing data.
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DOI：
10.1002/ece3.4492
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发表时间：
2018-10
影响因子：
2.6
通讯作者：
Sakhoeun S
中科院分区：
文献类型：
--
作者：
Singh M;Evans D;Chevance JB;Tan BS;Wiggins N;Kong L;Sakhoeun S
众所周知，社区森林在保护柬埔寨森林方面发挥着重要作用，柬埔寨近几十年来森林砍伐迅速。对柬埔寨社区保护森林保持森林覆盖和防止退化能力的详细评估将有助于指导未来的保护管理。在这项研究中，遥感数据的组合被用来比较位于柬埔寨金边库伦国家公园（PKNP）的六个不同的社区森林的森林结构的时间变化，并评估这些动态如何在社区保护森林和更广泛的研究区域之间变化。中分辨率Landsat、ALOS PALSAR数据和高分辨率LiDAR数据被用于研究森林退化模式的空间分布及其对地上生物量变化的影响。对不同空间分辨率下获得的遥感数据的分析表明，在2012年至2015年期间，与整个研究区域相比，社区森林具有较高的森林覆盖持续性和较低的森林覆盖损失率。此外，与更广泛的景观相比，他们面临腰果种植园的侵蚀较少。六个社区的森林中有四个表现出冠层间隙分数的恢复，随后，AGB股票的增加。在AGB值增加的森林中，退化程度下降。然而，所有的社区森林经历了增加林下损害的结果，选择性的树木清除，和社区森林林下损害增加最急剧的经历AGB的损失。这是首次使用多时相高分辨率LiDAR数据来分析人类引起的森林退化对森林结构和AGB的影响。这项工作的结果表明，虽然社区保护森林可以在一定程度上改善保护成果，但需要更多的干预措施来遏制非法选择性砍伐珍贵木材的行为。
Community forests are known to play an important role in preserving forests in Cambodia, a country that has seen rapid deforestation in recent decades. The detailed evaluation of the ability of community‐protected forests to retain forest cover and prevent degradation in Cambodia will help to guide future conservation management. In this study, a combination of remotely sensing data was used to compare the temporal variation in forest structure for six different community forests located in the Phnom Kulen National Park (PKNP) in Cambodia and to assess how these dynamics vary between community‐protected forests and a wider study area. Medium‐resolution Landsat, ALOS PALSAR data, and high‐resolution LiDAR data were used to study the spatial distribution of forest degradation patterns and their impacts on above‐ground biomass (AGB) changes. Analysis of the remotely sensing data acquired at different spatial resolutions revealed that between 2012 and 2015, the community forests had higher forest cover persistence and lower rates of forest cover loss compared to the entire study area. Furthermore, they faced lower encroachment from cashew plantations compared to the wider landscape. Four of the six community forests showed a recovery in canopy gap fractions and subsequently, an increase in the AGB stock. The levels of degradation decreased in forests that had an increase in AGB values. However, all community forests experienced an increase in understory damage as a result of selective tree removal, and the community forests with the sharpest increase in understory damage experienced AGB losses. This is the first time multitemporal high‐resolution LiDAR data have been used to analyze the impact of human‐induced forest degradation on forest structure and AGB. The findings of this work indicate that while community‐protected forests can improve conservation outcomes to some extent, more interventions are needed to curb the illegal selective logging of valuable timber trees.
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影响因子：
3.7
作者：
Devaney J;Barrett B;Barrett F;Redmond J;O Halloran J
通讯作者：
O Halloran J
DOI：
10.1073/pnas.1318271110
发表时间：
2013-11-12
影响因子：
11.1
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作者：
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通讯作者：
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影响因子：
3.7
作者：
Ellis, Peter;Griscom, Bronson;Cormier, Tina
通讯作者：
Cormier, Tina