| 东北地区生态系统服务空间分布及其驱动因子分析 |
| 摘要点击 2585 全文点击 462 投稿时间：2023-11-02 修订日期：2023-12-26 |
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| 中文关键词 生态系统服务（ESs） 地理探测器 InVEST模型 RUSLE模型 RWEQ模型 |
| 英文关键词 ecosystem services（ESs） geographic detector InVEST model RUSLE model RWEQ model |
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| 中文摘要 |
| 东北地区是我国重要的生态屏障,深入了解生态系统服务空间分布格局以及驱动因素,对实现生态系统服务后续的管理与保护至关重要. 基于气象数据、 遥感数据和社会经济数据等,采用InVEST、 RWEQ和RUSLE模型定量评估了东北地区生态系统服务空间分布,利用地理探测器识别了生态系统服务空间分布的驱动因子. 结果表明,东北地区生态系统服务空间分布存在明显的空间异质性,生境质量、 固碳服务和土壤保持服务高值主要分布在内蒙古自治区东四盟北部、 黑龙江省北部、 吉林省东部和辽宁省东部,水源涵养服务和防风固沙服务高值则分别分布在东北地区东部和内蒙古自治区东四盟. 根据地理探测器结果,生态系统服务的空间分布主要受到自然因子的影响,坡度对土壤保持服务的空间分布解释力最强,q值为0.31,土地利用类型对生境质量和固碳服务空间分布的解释力最强,q值分别为0.64和0.52,植被覆盖度和年降水量对防风固沙和水源涵养服务空间分布的解释力最强,q值分别为0.24和0.64,并且各驱动因子之间都存在交互作用. 研究结果可为后续东北地区生态系统服务的管理和提升提供科学依据. |
| 英文摘要 |
| Northeast China is an important ecological barrier in China, and an in-depth understanding of the spatial distribution in ecosystem services （ESs）, and the driving factors is crucial for realizing the subsequent management and protection of ESs. In the study, we quantitatively assessed the characteristics of spatial distribution in ESs in Northeastern China using the InVEST, RWEQ, and RUSLE models and identified the driving factors of ESs spatial distribution in conjunction with the geodetector based on meteorological data, remote sensing data, and socio-economic data. The results showed that the spatial distribution of ESs in Northeast China had obvious spatial heterogeneity. The high values of habitat quality （HQ）, carbon sequestration （CS） services, and soil conservation （SC） services were mainly distributed in the northern part of the four eastern leagues of the Inner Mongolia Autonomous Region, the northern part of Heilongjiang Province, and the eastern part of Northeast China, which were high in fraction vegetation cover, and low values were mainly found in southwestern and eastern Heilongjiang Province, western Jilin Province, and western Liaoning Province. The high values of the water yield （WY） service and wind prevention and sand fixation （WPSF） service were distributed in the east of the Inner Mongolia Autonomous Region and the east of Liaoning Province. The high values of WY services and WPSF services were distributed in the eastern part of Northeast China and the four eastern provinces of the Inner Mongolia Autonomous Region. According to the geodetector results, slope had the strongest explanatory power for the spatial distribution of SC services with a q-value of 0.31, land use/cover change had the strongest explanatory power for the spatial distribution of HQ and CS services with q-values of 0.64 and 0.52, respectively, and fraction vegetation coverage and annual precipitation had the strongest explanatory power for the spatial distribution of WPSF and WY services with q-values of 0.24 and 0.64, respectively, and there were interactions among all the driving factors. The spatial distribution of ESs in Northeast China was mainly influenced by natural factors. The results will provide a scientific basis for subsequent management and enhancement of ESs in Northeast China. |
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