Using repeat airborne LiDAR to map the growth of individual oil palms in Malaysian Borneo during the 2015-16 El Niño

Using repeat airborne LiDAR to map the growth of individual oil palms in Malaysian Borneo during the 2015-16 El Niño
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使用重复机载激光雷达绘制 2015-16 厄尔尼诺现象期间马来西亚婆罗洲各个油棕的生长情况

DOI:
10.1016/j.jag.2022.103117
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发表时间:
2022
影响因子:
7.5
通讯作者:
Beese L
Beese L
中科院分区:
地球科学1区
文献类型:
--
作者:
Beese L

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尽可能提高油棕农业的效率,对于确保这种经济上重要的作物能够可持续地种植至关重要。为了确定油棕的生长速度在热带景观中的变化,我们使用重复的机载激光雷达数据来绘制马来西亚婆罗洲在2015-16年El Niño干旱期间的两年期间的50万棵油棕的高度增长。尽管天气异常干燥和炎热,但在此期间,油棕榈的平均生长高度为1.6米/年。然而,油棕的生长速度在不同的景观中有所不同,与植物的年龄有关,在靠近森林边缘、远离河流和海拔较高的地方生长的年轻个体往往最快。我们的研究结果强调了油棕即使在干旱时期也能生长的能力,并展示了尖端的遥感技术如何帮助提高油棕农业的效率和可持续性。
Making oil palm agriculture as efficient as possible is essential to ensuring that this economically important crop can be grown sustainably. To determine how oil palm growth rates vary across tropical landscapes, we used repeat airborne LiDAR data to map the height growth of >500,000 oil palms in Malaysian Borneo over a two-year period coinciding with the 2015–16 El Niño drought. Despite uncharacteristically dry and hot weather conditions, oils palms grew an average of 1.6 m yr−1in height over this period. However, oil palm growth rates varied across the landscape and in relation to plant age, tending to be fastest for younger individuals growing closer to forest edges, further from rivers and at higher elevations. Our results highlight the ability of oil palms to grow even during periods of drought and showcase how cutting-edge remote sensing technologies can help improve the efficiency and sustainability of oil palm agriculture.
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