用间接遥感方法探测大熊猫栖息地竹林分布

竹子是野生大熊猫赖以生存的唯一食物。探测大熊猫栖息地内的竹林分布状况,有助于深入了解大熊猫及其栖息地的空间分布格局与特点,并为评估其栖息地适宜性、破碎化程度和生态承载力提供科学依据。由于大熊猫的主食竹大都生长于林下,直接通过遥感影像解译的方法很难实现对其分布密度的探测。以佛坪自然保护区的两大优势竹种——巴山木竹和秦岭箭竹为例,在运用遥感和GIS方法获取空间连续的环境变量时,引入了林上和林下的光照条件,通过分析不同竹种与各环境要素之间的关系,建立竹子密度的预测模型,最后在GIS空间分析技术的支持下实现了对林下竹子密度的绘制。研究结果显示:该方法能够比较准确地预测出林下竹子的分布状态,对两种竹子的密度预测精度均可达到70%以上。

Detection of understory bamboo in giant panda habitats using an indirect remote sensing approach

The bamboo is the exclusive food of the wild giant pandas.Detection of the bamboo forest in giant panda habitat will help scientists further understand the spatial distribution pattern of giant pandas and their habitats.Moreover,it provides crucial scientific evidence for estimating habitat suitability,the level of habitat fragmentation as well as its ecological carrying capacity for pandas.However,it is a big challenge to map bamboo forests using direct remote sensing approach as most of them grow underneath the forest canopy.In this study,two dominant bamboo species,Bashania fargesii and Fargesia qinlingensis in Foping panda reserve were investigated.While remote sensing and GIS techniques were used to map spatial continuous environmental variables,for the first time,the overstory and understory light climate was introduced as a potential factor for explaining bamboo distribution.The model for predicting undestory bamboo density was developed based on statistical analyses between different bamboo species and its relevant environmental factors.Finally,the bamboo density map was produced with the support of GIS spatial analysis.The results suggest that satisfactory mapping accuracy of understory bamboo detection can be achieved by using an indirect remote sensing approach.The overall accuracy of both bamboo species was 78%.