| 2000~2020年云南省氮磷输出时空变化特征及其多尺度驱动机制分析 |
| 摘要点击 254 全文点击 17 投稿时间：2024-05-05 修订日期：2024-06-26 |
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| 中文关键词 氮磷输出 时空演变 归因分析 地理收敛交叉映射（GCCM） 云南省 |
| 英文关键词 nitrogen and phosphorus output spatiotemporal evolution attribution analysis geographical convergent cross mapping （GCCM） Yunnan Province |
| 作者 | 单位 | E-mail | | 尹圆圆 | 云南师范大学地理学部, 昆明 650500
西部资源环境地理信息技术教育部工程研究中心, 昆明 650500 | 919916926@qq.com | | 彭双云 | 云南师范大学地理学部, 昆明 650500
西部资源环境地理信息技术教育部工程研究中心, 昆明 650500 | frankmei@126.com | | 林之强 | 云南师范大学地理学部, 昆明 650500
西部资源环境地理信息技术教育部工程研究中心, 昆明 650500 | | | 李定铺 | 云南师范大学地理学部, 昆明 650500
西部资源环境地理信息技术教育部工程研究中心, 昆明 650500 | | | 李婷 | 云南师范大学地理学部, 昆明 650500
西部资源环境地理信息技术教育部工程研究中心, 昆明 650500 | | | 朱怡霖 | 云南师范大学地理学部, 昆明 650500
西部资源环境地理信息技术教育部工程研究中心, 昆明 650500 | | | 黄帮梅 | 昆明第十中学, 昆明 650500 | |
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| 中文摘要 |
| 氮磷等营养物质的过量输出引发的富营养化问题已成为全球关注的焦点.云南省作为中国西南生态安全屏障的重要组成部分,其生态环境敏感脆弱,快速城镇化导致土地利用格局剧变,显著影响区域氮磷输出.以云南省为研究区,基于InVEST模型定量评估2000~2020年云南省氮磷输出的时空变化特征,引入地理收敛交叉映射（GCCM）模型,分析自然和人文驱动因素对氮磷输出的影响及其因果关系.结果表明：①云南省氮磷输出存在明显的时空异质性,2000~2020年间,氮磷输出总体呈现先升后降的趋势,空间上以较低值区为主,高值区主要集中在滇中城市群；②氮磷输出的空间分布具有显著的聚类特征,高高聚类区主要位于城镇化水平高、农业条件好的地区,低低聚类区多位于农业活动较少的偏远山区和森林覆盖率较高的区域；③地形、植被覆盖度、降雨、坡度以及耕地、林地、水体等是影响氮磷输出的主要驱动因素；④氮磷输出与不同土地利用类型之间的因果关系具有尺度依赖性,在不同的空间尺度下,耕地、林地和水体对氮磷输出的影响强度和方向表现出明显差异.研究拓展了GCCM模型在氮磷归因分析中的应用,为流域管理和生态保护提供了科学依据. |
| 英文摘要 |
| The issue of eutrophication caused by the excessive discharge of nutrients such as nitrogen and phosphorus has become a global concern. Yunnan Province, an essential part of the ecological security barrier in Southwest China, is ecologically sensitive and vulnerable. Rapid urbanization has drastically altered land use patterns, notably affecting regional nitrogen and phosphorus output. This study focused on Yunnan Province and used the InVEST model to quantitatively assess the spatiotemporal characteristics of nitrogen and phosphorus output from 2000 to 2020. It also incorporated the GCCM model to analyze the impacts and causal relationships of natural and anthropogenic drivers on nitrogen and phosphorus output. The results showed： ① There was notable spatiotemporal heterogeneity in nitrogen and phosphorus output in Yunnan Province, with an overall trend of an initial increase followed by a decrease from 2000 to 2020. Spatially, lower values predominated, with high-value areas mainly concentrated in the central urban agglomeration of Yunnan. ② The spatial distribution of nitrogen and phosphorus output exhibited significant clustering characteristics, with high-high clusters mainly in areas with high urbanization and favorable agricultural conditions and low-low clusters often in remote mountainous areas with less agricultural activity and higher forest coverage. ③ Terrain, vegetation cover, rainfall, slope, and land uses, such as cropland, forest, and water bodies were the main drivers influencing nitrogen and phosphorus output. ④ The causal relationship between nitrogen and phosphorus output and different land use types was scale-dependent, showing significant differences in the intensity and direction of impact by cropland, forest, and water bodies at different spatial scales. The study extends the application of the GCCM model in nitrogen and phosphorus attribution analysis and provides a scientific basis for watershed management and ecological conservation. |
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