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基于PLUS-InVEST的雪宝顶地区生态敏感性评价及预测OA

Evaluation and prediction of ecological sensitivity of the Xuebaoding region based on PLUS-InVEST

中文摘要英文摘要

生态敏感性是指在不损失或不降低环境质量情况下,环境因子对外界压力或干扰适应能力,其实质反映了区域生态环境问题发生的难易程度与可能性.位于青藏高原东缘的雪宝顶地区,岩溶景观丰富,生态系统类型独特,对气候变化与人类活动高度敏感,是研究生态敏感性演变规律的理想区域.文章以雪宝顶地区为研究对象,基于PLUS-InVEST模型模拟土地利用变化和分析生境质量的动态变化,系统评估2000-2020年环境质量,并对2030年的生境质量进行预测,运用地理探测器量化环境因子,通过质量变化研究生态敏感性.结果表明:(1)2000-2020年土地利用结构变化呈现出"两减四增",即草地、耕地减少,建设用地、林地、水域和未利用地增加.(2)2000-2020年间,生境质量均在85.2%以上,研究区生境质量总体较高,生态结构相对稳定.但建设用地以每年8.4%的速度扩张,引起局部生境下降.(3)2030年生境质量将有所下降,未来流域生态环境面临较大的压力.(4)该流域生态环境质量由自然环境因素(高程、坡度、温度、降水因子)起主导作用,未来更应关注流域气候变化引起的生态环境效应.研究结果揭示了该区域生态系统在土地利用变化背景下的响应机制,对于优化保护区管理策略、推动地区人与自然和谐共生具有重要科学价值与现实意义.

Ecological sensitivity refers to the capacity of environmental factors to adapt to external pressures or disturbances without degrading or compromising environmental quality.In essence,it reflects the likelihood and ease of occurrence of regional ecological and environmental problems.The Xuebaoding region,located on the eastern of the Qinghai-Xizang Plateau,features abundant karst landscapes and unique ecosystem.Highly sensitive to climate change and human activities,it serves as an ideal area for studying the evolution of ecological sensitivity.It is of great scientific value and practical significance to reveal the response mechanism of the regional ecosystem under the background of land use change for optimizing the management strategy of protected areas and promoting the harmonious coexistence between human and nature.This study focuses on the Xuebaoding region,employing the PLUS-InVEST model to simulate land use changes and analyze the dynamic variations in habitat quality.It systematically evaluates environmental quality from 2000 to 2020,predicts habitat quality for 2030,and applies the Geo Detector to quantify environmental factors.Based on these quality changes,the study investigates ecological sensitivity within the study area.The results show that: (1)From 2000 to 2020,the change of land use structure showed the characteristics of"two decreases and four increases",in which the area of grassland and cultivated land continued to decrease,with a net decrease of 294.98 km2 and 32.79 km2,respectively.However,the area of woodland,construction land,water area and unused land all showed an increasing trend.The net transfer of woodland was 227.78 km2,and the construction land increased by 166.98%. (2)From 2000 to 2020,the cultivated land area further decreased with the acceleration of urbanization,and the construction land continued to expand at an average annual rate of 8.35%.The results of habitat quality assessment show that the area of extremely low ecological environment increased by 156.90%in 2020 compared with 2000,and the spatial distribution of expansion area and construction land was highly coincident,indicating that urban expansion was the main reason for the decline of ecological environment quality and the growth of extremely low-grade areas. (3)Despite the changes in land use structure,the overall habitat quality in the study area remained above 85.2%from 2000 to 2020,and the average habitat quality remained relatively stable after it was increased from 85.26%in 2000 to 86.11%in 2010,indicating that the overall ecosystem structure in the basin remained at a high level and the ecological carrying capacity was strong.However,the forecast results in 2030 based on PLUS model show the overall accuracy,and the average value of future habitat quality will drop to 85.9%,which is lower than that in 2020,and the area of extremely low area is expected to increase by 192.47%compared with that in 2000,indicating that the potential pressure on regional ecosystems continues to increase. (4)The results of Geo Detectors show that natural factors,such as elevation,slope,temperature,and precipitation,are still the dominant factors to determine the spatial pattern of ecological environment quality in the study area.Interactive detection shows that the factors are enhanced by two factors,which indicates that human intervention is significantly affecting the evolution direction and range of ecological environment quality.

王力辉;代群威;王佳妮;刘延国;蔡江荣;蒋瑞阳;尹思颉;安德军;唐淑;李琼芳

西南科技大学环境与资源学院,四川绵阳 621010||西南科技大学国家遥感中心绵阳科技城分部,四川绵阳 621010西南科技大学环境与资源学院,四川绵阳 621010西南科技大学环境与资源学院,四川绵阳 621010西南科技大学环境与资源学院,四川绵阳 621010||西南科技大学国家遥感中心绵阳科技城分部,四川绵阳 621010西南科技大学环境与资源学院,四川绵阳 621010西南科技大学环境与资源学院,四川绵阳 621010西南科技大学环境与资源学院,四川绵阳 621010||西南科技大学国家遥感中心绵阳科技城分部,四川绵阳 621010黄龙国家级风景名胜区管理局,四川松潘 623300黄龙国家级风景名胜区管理局,四川松潘 623300西南科技大学生命科学与工程学院,四川绵阳 621010

资源环境

生态敏感性PLUSInVEST土地利用雪宝顶地区

ecological sensitivityPLUSInVESTland useXuebaoding region

《中国岩溶》 2026 (3)

553-567,15

国家自然科学基金项目(42430715,U21A2016)阿坝州科技计划项目(NO.R25YYJSYJ0016)

10.11932/karst20260305

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