An indirect method of estimating leaf area index in a tropical deciduous forest of India
An indirect method of estimating leaf area index in a tropical deciduous forest of India
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DOI：
10.1016/j.ecolind.2015.05.038
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发表时间：
2015-11
影响因子：
6.9
通讯作者：
S. Behera;M. D. Behera;R. Tuli
中科院分区：
文献类型：
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作者：
S. Behera;M. D. Behera;R. Tuli
快速、可靠和有意义的叶面积指数（LAI）估算对于包括生物量和初级生产力研究在内的森林生态系统功能表征至关重要。在区域和全球变化模拟研究中，需要对热带落叶林叶面积指数进行准确的估算。热带落叶林具有物种丰富度高、种间联结多、物候期多变、树干密度和底被不规则、林冠结构多层化以及不同的小气候条件等特点，这些特点为研究生态系统中不同功能类型的叶面积指数动态提供了动力。利用LAI-2000植物冠层分析仪，对喜马拉雅山麓典型湿润落叶林的叶面积指数（LAI）进行了间接测定。我们测量了叶面积指数在两个季节（夏季，叶片衰老阶段和季风后，全绿色阶段）在三个（干杂，盐混合和柚木种植园）植物功能类型（PFT）在Katerniaghat野生动物保护区，印度。干杂、盐杂和柚木种植园的叶面积指数在后季风季节分别为2.41 ~ 6.89、1.17 ~ 7.71和1.92 ~ 5.19，在夏季分别为1.36-4.49、0.67-3.1和0.37-1.83。叶面积指数与群落结构参数（乔木密度、地被度和物种丰富度）相关性较强，其中与年凋落物量（R2> 0.8）和地上生物量（AGB）相关性最大（R2> 0.75）。我们提供了方程与AGB，这可以在未来的研究中使用该地区，并可以合理地外推到其他地区与合适的统计外推。然而，叶面积指数和其他参数之间的关系可以进一步改善与优化和季节性采样的数据。我们的间接方法叶面积指数估计凋落物作为代理，提供了重复的潜力，叶面积指数估计在其他PFT与相对的时间和成本效益的方式，从而产生更快和可靠的数据模型运行的区域和全球变化研究。
Rapid, reliable and meaningful estimates of leaf area index (LAI) are essential to functional characterization of forest ecosystems including biomass and primary productivity studies. Accurate LAI estimates of tropical deciduous forest are required in studies of regional and global change modeling. Tropical deciduous forest due to higher species richness, multiple species association, varied phenophases, irregular stem densities and basal cover, multistoried canopy architecture and different micro-climatic conditions offers dynamism to the understanding of the LAI dynamics of different PFTs in an ecosystem. This investigation reports a new indirect method for measurement of leaf area index (LAI) in a topical moist deciduous forest in Himalayan foothills using LAI-2000 Plant Canopy Analyzer. We measured the LAI in two seasons (summer; leaf senescence stage and post-monsoon; full green stage) in three (dry miscellaneous, sal mixed and teak plantations) plant functional types (PFT) in Katerniaghat Wildlife Sanctuary, India. Ground LAI values ranged between 2.41 and 6.89, 1.17 and 7.71, and 1.92 and 5.19 during post-monsoon season and 1.36–4.49, 0.67–3.1 and 0.37–1.83 during summer season in dry miscellaneous, sal mixed and teak plantation, respectively. We observed strong correlation between LAI and community structural parameters (tree density, basal cover and species richness), with maximum with annual litter fall (R2> 0.8) and aboveground biomass (AGB) (R2> 0.75). We provided equations relating LAI with AGB, which can be utilized in future studies for this region and can be reasonably extrapolated to other regions with suitable statistical extrapolations. However, the relations between LAI and other parameters can be further improved with incorporation of data from optimized and seasonal sampling. Our indirect method of LAI estimation using litter fall as a proxy, offers repetitive potential for LAI estimate in other PFTs with relatively time and cost-effective way, thereby generating quicker and reliable data for model run for regional and global change studies.