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三江源国家公园生态系统服务价值的时空演变

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三江源国家公园是我国生态系统最为敏感及脆弱的地区之一,对其生态系统服务价值(ESV)的评估和模拟可以为生态保护与修复提供重要的科学依据.采用经济修正的当量因子法,基于土地利用数据构建三江源国家公园ESV评估模型,探究2005-2020年研究区ESV的时空格局演变,同时运用PLUS模型预测三江源国家公园2035年自然演变、水域保护、林草植被保护和生态保护4种情景下的ESV特征.结果表明:2005-2020年三江源国家公园的ESV呈微弱递增趋势,由2005年3.77×1011元增加到2020年3.93×1011元;影响三江源国家公园ESV的主要地类为水体、草地、雪/冰和荒地,其中水体面积变化对ESV变化的影响最为显著,其平均贡献率高达67.8%;PLUS模拟2035年4种情景下的ESV均高于2020年,其中生态保护情景下的ESV最高,为4.21×1011元,相比2020年的ESV增幅达到了7.2%.总体而言,在三江源国家公园的资源保护规划中,应注重对林草植被和水域的全面性生态保护,从而促进ESV的提高.
Spatial-temporal variations of ecosystem service value in Sanjiangyuan National Park
Sanjiangyuan National Park is one of the most sensitive and fragile ecosystems in China.Assessing and simulating ecosystem service value(ESV)can fill the knowledge gap for ecological protection and restoration.We constructed an ESV assessment model based on economically modified equivalent factor method and land use data to explore the spatial-temporal variations of ESV in Sanjiangyuan National Park from 2005 to 2020.The Patch-genera-ting Land Use Simulation(PLUS)model was used to predict the characteristics of ESV under four scenarios(i.e.,natural evolution,water protection,forest and grassland vegetation protection,and ecological protection)in 2035.The ESV of Sanjiangyuan National Park showed an increasing trend from 3.77×1011 yuan in 2005 to 3.93×1011 yuan in 2020.The ESV was affected by water,grassland,snow/ice and barren land.The change of water area had a sig-nificant impact on the change of ESV(with an average contribution rate of 67.8%).Under the four scenarios simu-lated by PLUS model,the ESV values in 2035 were higher than that of 2020.The ecological protection scenario had the highest ESV,reaching 4.21×1011 yuan,an increase of 7.2%compared to 2020.Our findings suggest that the comprehensive ecological protection of forests,grasslands,and water areas should be emphasized in the resource protection planning of Sanjiangyuan National Park to promote the improvement of ESV.

ecosystem service valuespatial-temporal evolutionscenario simulationSanjiangyuan National Park

许海英、杨超、李清泉

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自然资源部大湾区地理环境监测重点实验室、广东省城市空间信息工程重点实验室,广东深圳 518060

深圳大学建筑与城市规划学院,广东深圳 518060

成都理工大学地球科学学院,成都 610059

生态系统服务价值 时空演变 情景模拟 三江源国家公园

国家自然科学基金

42201319

2024

生态学杂志
中国生态学学会

生态学杂志

CSTPCD北大核心
影响因子:1.439
ISSN:1000-4890
年,卷(期):2024.43(6)
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