Singh Minerva, Evans Damian, Chevance Jean-Baptiste, Tan Boun Suy, Wiggins Nicholas, Kong Leaksmy, Sakhoeun Sakada
Imperial College London South Kensington London UK.
École française d'Extrême-Orient Paris France.
Ecol Evol. 2018 Oct 1;8(20):10175-10191. doi: 10.1002/ece3.4492. eCollection 2018 Oct.
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.
众所周知,社区森林在柬埔寨的森林保护中发挥着重要作用,该国在近几十年经历了快速的森林砍伐。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工作。在本研究中,综合利用遥感数据来比较位于柬埔寨贡开国家公园(PKNP)的六个不同社区森林的森林结构随时间的变化,并评估这些动态在社区保护森林和更广泛的研究区域之间如何不同。利用中分辨率的陆地卫星、先进陆地观测卫星(ALOS)相控阵L波段合成孔径雷达(PALSAR)数据和高分辨率的激光雷达数据,研究森林退化模式的空间分布及其对地上生物量(AGB)变化的影响。对不同空间分辨率获取的遥感数据进行分析后发现,在2012年至2015年期间,与整个研究区域相比,社区森林具有更高的森林覆盖持续性和更低的森林覆盖损失率。此外,与更广阔的景观相比,它们面临的腰果种植园侵占较少。六个社区森林中有四个显示林冠间隙率有所恢复,随后地上生物量储量增加。地上生物量值增加的森林中,退化程度降低。然而,由于选择性采伐树木,所有社区森林的林下破坏都有所增加,林下破坏增加最显著的社区森林地上生物量出现了损失。这是首次使用多期高分辨率激光雷达数据来分析人为导致的森林退化对森林结构和地上生物量的影响。这项工作的结果表明,虽然社区保护森林在一定程度上可以改善保护成果,但需要更多干预措施来遏制对珍贵木材的非法选择性采伐。