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作 者:吴溪 史文娇[1,3] 陶福禄 Wu X.;Shi W.J.;Tao F.L.(Key Laboratory of Land Surface Pattern and Simulation,State Key Laboratory of Resources and Environmental Information System,Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing 100101,China;Jiangsu Province Surveying&Mapping Engineering Institute,Nanjing 210013,China;College of Resources and Environment,University of Chinese Academy of Sciences,Beijing 100049,China)
机构地区:[1]中国科学院地理科学与资源研究所,中国科学院陆地表层格局与模拟院重点实验室,北京100101 [2]江苏省测绘工程院,南京210013 [3]中国科学院大学资源与环境学院,北京100049
出 处:《全球变化数据学报(中英文)》2023年第1期8-18,V0008-V0018,共22页Journal of Global Change Data & Discovery
基 金:国家自然科学基金(41930647);资源与环境信息系统国家重点实验室开放基金。
摘 要:森林水源涵养服务是存储和调控水资源的重要过程,基于Meta分析的中国森林水源涵养空间分布数据集以收集的1,045个关于全国森林水源涵养的相关参数及其影响因素的观测点数据为基础,通过综合蓄水能力法计算了点尺度观测的林冠截留、枯落物持水和土壤蓄水,然后利用随机森林模型预测了森林及其各蓄水层水源涵养空间分布。研究结果表明,基于观测数据利用随机森林模型在预测中国森林水源涵养空间分布上有较好的成效。中国森林水源涵养能力总体呈南高北低的趋势,四川、西藏、云南的森林水源涵养总量较高。该数据集包括了以10 km×10 km网格为基础的分植被类型的森林水源涵养数据,及1,045个森林水源涵养观测点数据。数据集存储为.shp和.xlsx格式,由9个数据文件组成,数据量为118 MB。Water retention of forest ecosystem plays important roles in interception,storage and redistribution of precipitation.The spatial pattern dataset of forest water retention is based on the 1,045 observation sites with the parameters and its influencing factors across China.We used empirical model to estimate canopy interception capacity,litter maximum water-holding capacity,and soil water storage capacity.Then,we applied the random forest model to predict the spatial pattern of forest water retention.The results show that the random forest model based on observation sites has credible results in predicting the spatial pattern of forest water retention of China.Our results revealed that the forest water retention capacity in China increased from north to south.The total forest water retention amount in Sichuan,Tibet and Yunnan are relatively high.The dataset includes forest water retention capacity divided by forest types based on a 10 km x 10 km grid,and data of 1,045 observation sites of forest water retention.The dataset is archived in.xlsx and.shp data formats,and consists of 9 data files with data size of 118 MB.
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