| 大别山区生境质量时空特征及自然-人为因素驱动机制 |
| 摘要点击 671 全文点击 90 投稿时间：2023-05-10 修订日期：2023-07-14 |
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| 中文关键词 PLUS-InVEST模型 生境质量 土地利用 地理探测器 时空变化 大别山区 |
| 英文关键词 PLUS-InVEST model habitat quality land use geographical detector spatiotemporal changes Dabie Mountain area |
| 作者 | 单位 | E-mail | | 郑亚平 | 河南大学地理与环境学院, 开封 475004
河南大学黄河中下游数字地理技术教育部重点实验室, 开封 475004 | zypnlfd@163.com | | 张俊华 | 河南大学地理与环境学院, 开封 475004
河南大学黄河中下游数字地理技术教育部重点实验室, 开封 475004
河南大别山森林生态系统国家野外科学观测研究站, 郑州 450046 | oklgd@163.com | | 田惠文 | 河南大学地理与环境学院, 开封 475004
河南大学黄河中下游数字地理技术教育部重点实验室, 开封 475004 | | | 朱航成 | 河南大学地理与环境学院, 开封 475004
河南大学黄河中下游数字地理技术教育部重点实验室, 开封 475004 | | | 刘舒 | 河南大学地理与环境学院, 开封 475004
河南大学黄河中下游数字地理技术教育部重点实验室, 开封 475004 | | | 丁亚鹏 | 河南大学地理与环境学院, 开封 475004
河南大学黄河中下游数字地理技术教育部重点实验室, 开封 475004 | |
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| 中文摘要 |
| 大别山区是中国南北地理生态过渡带东延余脉,山地系统表现出高度的异质性和敏感易变性,识别山地生境质量的空间特征对揭示自然和人为因素的时空驱动机制及差异具有重要指示意义.基于PLUS-InVEST以及地理探测器方法,分析大别山区2000~2020年生境质量的时空动态变化及驱动机制,并对2030年土地利用和生境质量进行多情景模拟预测.2000~2020年,区内土地利用类型以耕地（50%~54%）和林地（42%~45%）为主,荒地（2%~4%）面积占比最低,大别山区耕地变化最大,面积减少2 311.45 km2,林地和建设用地次之,面积分别增加1 431.37 km2和924.52 km2,灌木和荒地的变化较小,面积分别减少7.72 km2和19.10 km2；大别山区的生境质量与海拔高度呈正相关,中东部生境质量较高,北部和南部生境质量较差；2000~2010年生境质量均值从0.594上升到0.608,到2020年下降到0.603,生境质量出现了先上升后下降的趋势.地理探测器结果表明,影响大别山区生境质量的主要驱动因素是地形起伏度、土地利用强度和海拔,NDVI的影响随着时间逐渐增强.2030年生境质量的预测结果显示,4种发展情景下,区域内整体生境质量仍然呈现下降的趋势,并且在生态保护情景下,依旧呈现降低的趋势,只是降低的速率减小.研究结果可为大别山区未来土地利用类型空间规划提供优化策略. |
| 英文摘要 |
| The Dabie Mountain area is an eastern extension of China's south-north ecological transition zone, displaying a high degree of heterogeneity and sensitivity in its mountain system. Identifying the spatial characteristics of mountain habitat quality is of great significance for revealing the spatiotemporal driving mechanisms and differences between natural and human factors. In this study, we used PLUS-InVEST and geographic detector methods to analyze the spatiotemporal dynamic changes and driving mechanisms of habitat quality in the Dabie Mountain area from 2000 to 2020 and conducted multiple scenario simulation predictions of land use and habitat quality for 2030. From 2000 to 2020, the dominant land use types in the area were arable land （50%-54%） and forest land （42%-45%）, with the lowest proportion being that of barren land （2%-4%）. Arable land had the largest change, decreasing by 2 311.45 km2, followed by forest land and construction land, which increased by 1 431.37 km2 and 924.52 km2, respectively. Less variation was shown in the shrub and barren areas, decreasing by 7.72 km2 and 19.10 km2, respectively. Habitat quality in the Dabie Mountain area was positively correlated with altitude, with higher quality in the central and eastern parts and lower quality in the northern and southern parts. From 2000 to 2010, the mean habitat quality increased from 0.594 to 0.608 and then decreased to 0.603 by 2020, exhibiting an increasing-then-decreasing trend. The results of the geographic detector analysis showed that the main driving factors affecting habitat quality in the Dabie Mountain region were terrain undulation, land use intensity, and altitude, and the impact of NDVI gradually increased over time. The predicted results for 2030 showed that under four development scenarios, the overall habitat quality in the area still showed a downward trend. Under the ecological protection scenario, it still showed a decreasing trend, but the rate of decrease was reduced. The research results can provide optimization strategies for the spatial planning of future land use types in the Dabie Mountain area. |
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