Spatio-temporal variation of human activity intensity and its driving factors on the Qinghai-Tibet Plateau

PDF HTML阅读 XML下载 导出引用 引用提醒 青藏高原人类活动强度时空变化与影响因素 DOI: 10.5846/stxb202211183332 作者: 作者单位: 作者简介: 通讯作者: 中图分类号: 基金项目: 第二次青藏高原综合科学考察研究（2019QZKK0406） Spatio-temporal variation of human activity intensity and its driving factors on the Qinghai-Tibet Plateau Author: Affiliation: Fund Project: The Second Tibetan Scientific Expedition Research, No.2019QZKK0406 摘要 | 图/表 访问统计 参考文献 相似文献 引证文献 资源附件 文章评论 摘要:科学评估人类活动强度对于统筹协调青藏高原生态保护与人类活动具有重要意义。基于多期土地利用现状调查数据和陆地表层人类活动强度算法，测算和分析了青藏高原1984年、1997年、2008年和2018年的人类活动强度及其时空变化特征，使用地理探测器定量解析了影响青藏高原人类活动强度空间分异的驱动因素。结果表明：（1）1984-2018年青藏高原人类活动强度总体处于低水平阶段，大致以2008年为节点，前期缓慢下降，后期快速上升，1984年的人类活动强度为1.44%，2018年上升到1.70%；（2）西藏"一江两河"地区（雅鲁藏布江、拉萨河和年楚河）和青海河湟谷地的人类活动强度最高，沿日喀则-拉萨-那曲-玉树-果洛-西宁形成条带状的相对高值分布区，川藏高山峡谷区、藏北-青南高原区和帕米尔山区的人类活动强度最低；（3）人类活动强度空间分异的主要因素为人口密度、道路密度、经济规模、地表起伏度、城镇化水平、第一产业占比和区域发展导向，且各因子间的交互作用解释力显著高于单因子，表现为非线性增强和双因子增强。 Abstract:The is a comprehensive indicator that objectively reflects impact different activities terrestrial surface extent effects. scientific assessment for has pivotal role in coordinating regional ecological protection with Plateau. However, scale patterns are not yet clear. Therefore, there an urgent need quantitative study intensity. Based multi-period land use survey data algorithm surface, this measured analyzed spatio-temporal characteristics 1984, 1997, 2008, 2018. Subsequently, affecting spatial were detected using Geographical detector model. This article obtains three conclusions:(1) overall was generally at low level from 1984 to experienced slight decline 1.44% 1.37% while sharply rose high point peaked 1.70% (2) regions highest included Three River Basin Tibet (Yarlung Zangbo River, Lhasa Nyanchu River) Yellow River-Huangshui Valley region Qinghai, strip-like distribution area relatively being formed along Rikaze-Lhasa-Nagqu-Yushu-Guoluo-Xining, these lowest Alpine-gorge Sichuan Tibet, Northern Tibetan-Southern Qinghai Plateau, Pamir Mountains. (3) geographical detection results showed main influencing differentiation population density, road economic scales, relief degree urbanization rate, proportion primary industries, development orientation, factors' explanatory after interaction significantly higher than single, showing types nonlinear-enhance bi-variable enhance. conclusions can provide support basic reference material government decisions construction security barrier governance territorial space