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
复制标题
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
复制
发表时间:
2022
影响因子:
7.5
通讯作者:
Beese L
中科院分区:
文献类型:
--
作者:
Beese L
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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DOI:
10.1111/2041-210x.13472
发表时间:
2020-07
期刊:
bioRxiv
影响因子:
--
作者:
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通讯作者:
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影响因子:
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DOI:
--
发表时间:
2014
期刊:
Plant
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--
作者:
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DOI:
--
发表时间:
2020
期刊:
影响因子:
--
作者:
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影响因子:
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