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Relating MODIS vegetation index time-series with structure, light absorption and stem production of fast-growing Eucalyptus plantations

机译:MODIS植被指数时间序列与速生桉树人工林的结构,光吸收和茎产生的关系

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By allowing the estimation of forest structural and biophysical characteristics at different temporal and spatial scales, remote sensing may contribute to our understanding and monitoring of planted forests. Here, we studied 9-year time-series of the Normalized Difference Vegetation Index (NDVI) from the Moderate Resolution Imaging Spectroradiometer (MODIS) on a network of 16 stands in fast-growing Eucalyptus plantations in ScDo Paulo State, Brazil. We aimed to examine the relationships between NDVI time-series spanning entire rotations and stand structural characteristics (volume, dominant height, mean annual increment) in these simple forest ecosystems. Our second objective was to examine spatial and temporal variations of light use efficiency for wood production, by comparing time-series of Absorbed Photosynthetically Active Radiation (APAR) with inventory data. Relationships were calibrated between the NDVI and the fractions of intercepted diffuse and direct radiation, using hemispherical photographs taken on the studied stands at two seasons. APAR was calculated from the NDVI time-series using these relationships. Stem volume and dominant height were strongly correlated with summed NDVI values between planting date and inventory date. Stand productivity was correlated with mean NDVI values. APAR during the first 2 years of growth was variable between stands and was well correlated with stem wood production (r po =0.78). In contrast, APAR during the following years was less variable and not significantly correlated with stem biomass increments. Production of wood per unit of absorbed light varied with stand age and with site index. In our study, a better site index was accompanied both by increased APAR during the first 2 years of growth and by higher light use efficiency for stem wood production during the whole rotation. Implications for simple process-based modelling are discussed.
机译:通过估计不同时空尺度上的森林结构和生物物理特征,遥感技术可能有助于我们对人工林的理解和监测。在这里,我们研究了巴西ScDo Paulo州快速生长的桉树人工林中16个林分的网络上的中分辨率成像光谱仪(MODIS)的9年时间序列植被归一化植被指数(NDVI)。我们旨在研究这些简单森林生态系统中跨越整个旋转的NDVI时间序列与林分结构特征(体积,优势高度,平均年增量)之间的关系。我们的第二个目标是通过将吸收的光合有效辐射(APAR)的时间序列与库存数据进行比较,来检验木材生产的光利用效率的时空变化。使用两个季节在研究林分上拍摄的半球照片,对NDVI与截获的散射和直接辐射的比例之间的关系进行了校准。使用这些关系从NDVI时间序列计算出APAR。种植日期和库存日期之间,茎的体积和优势高度与NDVI的求和值高度相关。林分生产力与平均NDVI值相关。林木生长的前2年间的APAR是可变的,并且与茎木产量有很好的相关性(r po = 0.78)。相反,在接下来的几年中,APAR变化较小,并且与茎生物量的增加没有显着相关。单位吸收光的木材产量随林分龄和场地指数的变化而变化。在我们的研究中,更好的站点指数伴随着生长的前两年APAR的增加以及整个旋转过程中茎木生产的更高的光利用效率。讨论了基于简单过程的建模的含义。

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