黄土丘陵区生态系统服务空间格局及权衡与协同关系——以榆中县为例
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摘要
以甘肃榆中县为例,综合InVEST模型、ArcGIS、R和GeoDa软件,基于村级尺度,利用空间热点分析、相关分析和空间自相关分析,研究了该县2015年生物多样性维持、土壤保持、产水量、碳储量和食物供给5种典型生态系统服务的空间分异特征及权衡与协同关系。结果表明:5种生态系统服务具有明显的空间异质性,生物多样性维持、产水量和碳储量呈现出"南-中-北"逐渐递减的三级梯度特征,土壤保持表现为南部高、北部居中、中部低的态势,食物供给则表现为中部高、南部和北部低的空间格局;热点分析表明,生态系统服务空间一致性较高,高值集聚区(热点)主要位于南部山区,低值集聚区(冷点)多分布于北部黄土丘陵区,而食物供给服务的高值集聚区主要位于中部川区,低值集聚区集中在北部黄土丘陵区;基于相关性分析和双变量Moran I分析结果表明:食物供给与其他4种服务之间是权衡关系,其中与土壤保持和生物多样性维持的权衡关系较强,与碳储量和产水量的权衡关系较弱,而其他4种服务之间主要是强弱不等的协同关系;空间格局上,生态系统服务间的权衡与协同关系异质性较强。
Taking Yuzhong County from Gansu Province as an example,using the InVEST model,ArcGIS,R and GeoDa software,and based on spatial hotspot analysis,correlation analysis and spatial autocorrelation analysis,we examined the spatial heterogeneity and potential tradeoffs and synergies of five typical ecosystem services in 2015 at the village scale,including biodiversity maintenance,soil retention,water yield,carbon storage and food supply. The five ecosystem services showed obvious spatial heterogeneity. The biodiversity maintenance,water yield and carbon storage showed a three-order gradient decrease from south to central to north. The capacity of soil retention was high in the south,moderate in the north,and low in the middle area. The food supply was high in the middle area and low in the south and north. The hotspot analysis showed that the spatial concordance among multiple ecosystem services was relatively high. The high-value clusters( hot spots) of ecosystem services were mainly located in the southern mountainous regions,the low-value clusters( clod spots) were mostly distributed in the northern loess hilly regions,while the high-value clusters of food supply services were mainly located in the central areas,and the low-value clusters were concentrated in the northern loess hilly regions. The results of correlation analysis and bivariate Moran's I analysis showed that there were tradeoffs between food supply and the other four types of ecosystem services. Specifically,the food supply had strong tradeoffs with soil retention and biodiversity maintenance,and weak tradeoffs with carbon storage and water yield. Relationships among the biodiversity maintenance,soil retention,water yield,and carbon storage were mainly characterized by synergies with different degrees. Spatially,there was strong heterogeneity of tradeoffs and synergies among different ecosystem services.
Taking Yuzhong County from Gansu Province as an example,using the InVEST model,ArcGIS,R and GeoDa software,and based on spatial hotspot analysis,correlation analysis and spatial autocorrelation analysis,we examined the spatial heterogeneity and potential tradeoffs and synergies of five typical ecosystem services in 2015 at the village scale,including biodiversity maintenance,soil retention,water yield,carbon storage and food supply. The five ecosystem services showed obvious spatial heterogeneity. The biodiversity maintenance,water yield and carbon storage showed a three-order gradient decrease from south to central to north. The capacity of soil retention was high in the south,moderate in the north,and low in the middle area. The food supply was high in the middle area and low in the south and north. The hotspot analysis showed that the spatial concordance among multiple ecosystem services was relatively high. The high-value clusters( hot spots) of ecosystem services were mainly located in the southern mountainous regions,the low-value clusters( clod spots) were mostly distributed in the northern loess hilly regions,while the high-value clusters of food supply services were mainly located in the central areas,and the low-value clusters were concentrated in the northern loess hilly regions. The results of correlation analysis and bivariate Moran's I analysis showed that there were tradeoffs between food supply and the other four types of ecosystem services. Specifically,the food supply had strong tradeoffs with soil retention and biodiversity maintenance,and weak tradeoffs with carbon storage and water yield. Relationships among the biodiversity maintenance,soil retention,water yield,and carbon storage were mainly characterized by synergies with different degrees. Spatially,there was strong heterogeneity of tradeoffs and synergies among different ecosystem services.
引文
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戴尔阜,王晓莉,朱建佳,等.2016.生态系统服务权衡:方法、模型与研究框架.地理研究,35(6):1005-1016.
范新生,应龙根.2005.中国SARS疫情的探索性空间数据分析.地球科学进展,20(3):282-291.
傅伯杰,于丹丹.2016.生态系统服务权衡与集成方法.资源科学,38(1):1-9.
郝梦雅,任志远,孙艺杰,等.2017.关中盆地生态系统服务的权衡与协同关系动态分析.地理研究,36(3):592-602.
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刘文辉,李春亮,吴永强.2012.甘肃省兰州-白银地区土壤有机碳库储量估算与空间分布特征.物探与化探,36(3):367-371.
潘竟虎,李真.2017.干旱内陆河流域生态系统服务空间权衡与协同作用分析.农业工程学报,33(17):280-289.
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钱彩云,巩杰,张金茜,等.2018.甘肃白龙江流域生态系统服务变化及权衡与协同关系.地理学报,73(5):1-12.
孙泽祥,刘志锋,何春阳,等.2016.中国快速城市化干燥地区的生态系统服务权衡关系多尺度分析---以呼包鄂榆地区为例.生态学报,36(15):4881-4891.
王蓓,赵军,胡秀芳.2016.基于In VEST模型的黑河流域生态系统服务空间格局分析.生态学杂志,35(10):2783-2792.
王雅,蒙吉军,齐杨,等.2015.基于In VEST模型的生态系统管理综述.生态学杂志,34(12):3526-3532.
徐佩,王玉宽,杨金凤,等.2013.汶川地震灾区生物多样性热点地区分析.生态学报,33(3):718-725.
杨勤科,郭伟玲,张宏鸣,等.2010.基于DEM的流域坡度坡长因子计算方法研究初报.水土保持通报,30(2):203-206.
张彪,李文华,谢高地,等.2009.森林生态系统的水源涵养功能及其计量方法.生态学杂志,28(3):529-534.
Bennett EM,Peterson GD,Gordon LJ.2009.Understanding relationships among multiple ecosystem services.Ecology Letters,12:1394-1404.
Costanza R,d’Arge R,De Groot R,et al.1997.The value of the world’s ecosystem services and natural capital.Nature,387:253-260.
Fu BJ,Liu Y,LüYH,et al.2011.Assessing the soil erosion control service of ecosystems change in the Loess Plateau of China.Ecological Complexity,8:284-293.
Getis A,Ord JK.1992.The analysis of spatial association by use of distance statistics.Geographical Analysis,24:189-206.
Jopke C,Kreyling J,Maes J,et al.2015.Interactions among ecosystem services across Europe:Bagplots and cumulative correlation coefficients reveal synergies,trade-offs,and regional patterns.Ecological Indicators,49:46-52.
Li BY,Wang W.2018.Trade-offs and synergies in ecosystem services for the Yinchuan Basin in China.Ecological Indicators,84:837-846.
Su CH,Fu BJ.2014.Evolution of ecosystem services in the Chinese Loess Plateau under climatic and land use changes.Global&Planetary Change,101:119-128.
Turner KG,Odgaard MV,B?cher PK,et al.2014.Bundling ecosystem services in Denmark:Trade-offs and synergies in a cultural landscape.Landscape&Urban Planning,125:89-104.
Williams JR,Arnold JG.1997.A system of erosion:Sediment yield models.Soil Technology,11:43-55.
Wischmeier WH,Smith DD.1958.Rainfall energy and its relationship to soil loss.Transactions American Geophysical Union,39:285-291.
曹祺文,卫晓梅,吴健生.2016.生态系统服务权衡与协同研究进展.生态学杂志,35(11):3102-3111.
程积民,程杰,杨晓梅.2011.黄土高原草地植被与土壤固碳量研究.自然资源学报,26(3):401-411.
戴尔阜,王晓莉,朱建佳,等.2016.生态系统服务权衡:方法、模型与研究框架.地理研究,35(6):1005-1016.
范新生,应龙根.2005.中国SARS疫情的探索性空间数据分析.地球科学进展,20(3):282-291.
傅伯杰,于丹丹.2016.生态系统服务权衡与集成方法.资源科学,38(1):1-9.
郝梦雅,任志远,孙艺杰,等.2017.关中盆地生态系统服务的权衡与协同关系动态分析.地理研究,36(3):592-602.
李晶,李红艳,张良.2016.关中-天水经济区生态系统服务权衡与协同关系.生态学报,36(10):3053-3062.
刘春芳,刘宥延,王川.2017.黄土丘陵区贫困农户生计资本空间特征及影响因素---以甘肃省榆中县为例.经济地理,37(12):153-162.
刘春芳,王川,刘立程.2018.三大自然区过渡带生境质量时空差异及形成机制---以榆中县为例.地理研究,37(2):419-432.
刘文辉,李春亮,吴永强.2012.甘肃省兰州-白银地区土壤有机碳库储量估算与空间分布特征.物探与化探,36(3):367-371.
潘竟虎,李真.2017.干旱内陆河流域生态系统服务空间权衡与协同作用分析.农业工程学报,33(17):280-289.
彭建,胡晓旭,赵明月,等.2017.生态系统服务权衡研究进展:从认知到决策.地理学报,72(6):960-973.
钱彩云,巩杰,张金茜,等.2018.甘肃白龙江流域生态系统服务变化及权衡与协同关系.地理学报,73(5):1-12.
孙泽祥,刘志锋,何春阳,等.2016.中国快速城市化干燥地区的生态系统服务权衡关系多尺度分析---以呼包鄂榆地区为例.生态学报,36(15):4881-4891.
王蓓,赵军,胡秀芳.2016.基于In VEST模型的黑河流域生态系统服务空间格局分析.生态学杂志,35(10):2783-2792.
王雅,蒙吉军,齐杨,等.2015.基于In VEST模型的生态系统管理综述.生态学杂志,34(12):3526-3532.
徐佩,王玉宽,杨金凤,等.2013.汶川地震灾区生物多样性热点地区分析.生态学报,33(3):718-725.
杨勤科,郭伟玲,张宏鸣,等.2010.基于DEM的流域坡度坡长因子计算方法研究初报.水土保持通报,30(2):203-206.
张彪,李文华,谢高地,等.2009.森林生态系统的水源涵养功能及其计量方法.生态学杂志,28(3):529-534.
Bennett EM,Peterson GD,Gordon LJ.2009.Understanding relationships among multiple ecosystem services.Ecology Letters,12:1394-1404.
Costanza R,d’Arge R,De Groot R,et al.1997.The value of the world’s ecosystem services and natural capital.Nature,387:253-260.
Fu BJ,Liu Y,LüYH,et al.2011.Assessing the soil erosion control service of ecosystems change in the Loess Plateau of China.Ecological Complexity,8:284-293.
Getis A,Ord JK.1992.The analysis of spatial association by use of distance statistics.Geographical Analysis,24:189-206.
Jopke C,Kreyling J,Maes J,et al.2015.Interactions among ecosystem services across Europe:Bagplots and cumulative correlation coefficients reveal synergies,trade-offs,and regional patterns.Ecological Indicators,49:46-52.
Li BY,Wang W.2018.Trade-offs and synergies in ecosystem services for the Yinchuan Basin in China.Ecological Indicators,84:837-846.
Su CH,Fu BJ.2014.Evolution of ecosystem services in the Chinese Loess Plateau under climatic and land use changes.Global&Planetary Change,101:119-128.
Turner KG,Odgaard MV,B?cher PK,et al.2014.Bundling ecosystem services in Denmark:Trade-offs and synergies in a cultural landscape.Landscape&Urban Planning,125:89-104.
Williams JR,Arnold JG.1997.A system of erosion:Sediment yield models.Soil Technology,11:43-55.
Wischmeier WH,Smith DD.1958.Rainfall energy and its relationship to soil loss.Transactions American Geophysical Union,39:285-291.