江湖源地区草地放牧压力分布图（2001-2020）

该数据集精确量化了2001年至2020年期间江湖源地区所承受的放牧压力。通过将气候、地形、植被、人类活动、水源以及道路等多源因素作为机器学习模型的输入变量，成功地将适宜放牧区域的乡镇级牲畜密度精细分解至545×545m的网格尺度。模型的平均绝对误差仅为0.068 SU/km²，决定系数高达0.98，这充分证明了该数据集在当前同类研究中具有最高的精度和最优的质量。深入分析该数据集所揭示的放牧压力时空变化特征，能够为江湖源地区的牧业可持续发展以及生态环境的有效治理提供坚实的科学依据。This dataset accurately quantifies the grazing pressure endured by the Jianghuyuan region from 2001 to 2020. By utilizing multi-source factors including climate, topography, vegetation, human activities, water sources and roads as input variables for machine learning models, it successfully downscales the township-level livestock density in suitable grazing areas to a grid scale of 545×545m. The model achieves a mean absolute error of only 0.068 SU/km² and a coefficient of determination as high as 0.98, which fully demonstrates that this dataset boasts the highest accuracy and optimal quality among existing comparable studies. In-depth analysis of the spatiotemporal variation characteristics of grazing pressure revealed by this dataset can provide solid scientific basis for the sustainable development of animal husbandry and the effective ecological environment management in the Jianghuyuan region.

搜集汇总

背景与挑战

背景概述

该数据集提供了2001-2020年江湖源地区草地放牧压力的高精度分布图，空间分辨率为100m - 1km，通过机器学习模型整合多源数据，平均绝对误差仅为0.068 SU/km²，决定系数高达0.98，为牧业可持续发展和生态环境治理提供科学依据。