Mapping tropical forest functional variation at satellite remote sensing resolutions depends on key traits
Mapping tropical forest functional variation at satellite remote sensing resolutions depends on key traits
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在卫星遥感分辨率下绘制热带森林功能变化取决于关键特征
DOI：
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发表时间：
2022
影响因子：
7.9
通讯作者：
P. Moorcroft
中科院分区：
文献类型：
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作者：
E. Ordway;G. Asner;D. Burslem;S. Lewis;R. Nilus;R. Martin;Michael J. O’Brien;O. Phillips;L. Qie;N. Vaughn;P. Moorcroft
虽然热带森林在形式和功能上有很大的不同，但它们在全球变化模型中往往被描述为单一的生物群落，这阻碍了人们了解不同的热带森林将如何应对环境变化。热带森林生物群落对环境变化的反应受到森林类型的强烈影响。森林类型根据功能特征和森林结构而不同，这些特征和结构很容易从高分辨率航空遥感数据中得出。新出现的卫星高光谱数据的空间分辨率是否足以识别不同的热带森林类型尚不清楚。在这里，我们重新采样航空遥感森林数据在空间分辨率相关的卫星遥感（30米）在马来西亚婆罗洲的两个网站。利用主成分和聚类分析，我们得出和地图的七个森林类型。我们发现生态相关的森林类型的变化，对应的碳储量，增长和死亡率的巨大差异。我们发现单位面积叶重和冠层磷是区分森林类型的关键性状。我们的研究结果突出了这些参数的重要性，准确地映射热带森林类型，使用空间观测。根据对马来西亚婆罗洲航空遥感数据的粗分辨率分析，可以从与卫星观测有关的空间分辨率的遥感森林特征和结构属性确定热带森林的功能变化。
Although tropical forests differ substantially in form and function, they are often represented as a single biome in global change models, hindering understanding of how different tropical forests will respond to environmental change. The response of the tropical forest biome to environmental change is strongly influenced by forest type. Forest types differ based on functional traits and forest structure, which are readily derived from high resolution airborne remotely sensed data. Whether the spatial resolution of emerging satellite-derived hyperspectral data is sufficient to identify different tropical forest types is unclear. Here, we resample airborne remotely sensed forest data at spatial resolutions relevant to satellite remote sensing (30 m) across two sites in Malaysian Borneo. Using principal component and cluster analysis, we derive and map seven forest types. We find ecologically relevant variations in forest type that correspond to substantial differences in carbon stock, growth, and mortality rate. We find leaf mass per area and canopy phosphorus are critical traits for distinguishing forest type. Our findings highlight the importance of these parameters for accurately mapping tropical forest types using space borne observations. Functional variations in tropical forests can be determined from remotely sensed forest trait and structural attributes at spatial resolutions relevant to satellite-based observations, according to a coarse resolution analysis of airborne remotely sensed data in Malaysian Borneo.
影响因子：
5.9
作者：
Asner, Gregory P.;Brodrick, Philip G.;Coomes, David A.
通讯作者：
Coomes, David A.
影响因子：
13.5
作者：
Coomes, David A.;Dalponte, Michele;Qie, Lan
通讯作者：
Qie, Lan