首页> 外文期刊>Journal of Geophysical Research. Biogeosciences >Estimation of tropical forest height and biomass dynamics using lidar remote sensing at La Selva, Costa Rica
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Estimation of tropical forest height and biomass dynamics using lidar remote sensing at La Selva, Costa Rica

机译:利用哥斯达黎加拉塞尔瓦的激光雷达遥感估算热带森林的高度和生物量动态

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In this paper we present the results of an experiment to measure forest structure and biomass dynamics over the tropical forests of La Selva Biological Station in Costa Rica using a medium resolution lidar. Our main objective was to observe changes in forest canopy height, related height metrics, and biomass, and from these map sources and sinks of carbon across the landscape. The Laser Vegetation Imaging Sensor (LVIS) measured canopy structure over La Selva in 1998 and again in 2005. Changes in waveform metrics were related to field-derived changes in estimated aboveground biomass from a series of old growth and secondary forest plots. Pairwise comparisons of nearly coincident lidar footprints between years showed canopy top height changes that coincided with expected changes based on land cover types. Old growth forests had a net loss in height of −0.33 m, while secondary forests had net gain of 2.08 m. Multiple linear regression was used to relate lidar metrics with biomass changes for combined old growth and secondary forest plots, giving an r2 of 0.65 and an RSE of 10.5 Mg/ha, but both parametric and bootstrapped confidence intervals were wide, suggesting weaker model performance. The plot level relationships were then used to map biomass changes across La Selva using LVIS at a 1 ha scale. The spatial patterns of biomass changes matched expected patterns given the distribution of land cover types at La Selva, with secondary forests showing a gain of 25 Mg/ha and old growth forests showing little change (2 Mg/ha). Prediction intervals were calculated to assess uncertainty for each 1 ha cell to ascertain whether the data and methods used could confidently estimate the sign (source or sink) of the biomass changes. The resulting map showed most of the old growth areas as neutral (no net biomass change), with widely scattered and isolated sources and sinks. Secondary forests in contrast were mostly sinks or neutral, but were never sources. By quantifying both the magnitude of biomass changes and the sensitivity of lidar to detect them, this work will help inform the formulation of future space missions focused on biomass dynamics, such as NASA's Deformation Ecosystem Structure and Dynamics of Ice mission.
机译:在本文中,我们介绍了使用中分辨率激光雷达测量哥斯达黎加La Selva生物站热带森林的森林结构和生物量动态的实验结果。我们的主要目的是观察森林冠层高度,相关高度度量和生物量的变化,并从这些地图来源和整个景观碳汇中观察。激光植被成像传感器(LVIS)于1998年和2005年再次测量了La Selva上的冠层结构。波形度量的变化与田地衍生的一系列老生长和次生林地的估计生物量变化有关。几年之间几乎重合的激光雷达足迹的成对比较显示,冠层顶部的高度变化与基于土地覆盖类型的预期变化相一致。老龄林的净损失为−0.33 m,次生林的净损失为2.08 m。多元线性回归用于将激光雷达指标与生物量变化相关联,以结合旧的生长和次生林地,得出r2为0.65,RSE为10.5 Mg / ha,但是参数和自举置信区间均较宽,表明模型性能较弱。然后,使用LVIS以1公顷的比例,使用地块级关系绘制La Selva上生物量的变化图。考虑到La Selva土地覆盖类型的分布,生物量变化的空间格局符合预期格局,其中次生林的增幅为25 Mg / ha,而老生长林的增幅很小(2 Mg / ha)。计算预测间隔以评估每个1公顷电池的不确定性,以确定所使用的数据和方法是否可以自信地估计生物量变化的迹象(源或汇)。生成的地图将大多数旧的生长区域显示为中性(净生物量未发生变化),其来源和汇广泛分散且孤立。相比之下,次生林则大多为汇或中性,但绝不是来源。通过量化生物量变化的幅度和激光雷达探测到它们的灵敏度,这项工作将有助于为未来着重于生物量动力学的太空任务的制定提供信息,例如NASA的变形生态系统结构和冰任务动力学。

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