基于地理加权回归的生境质量对土地利用变化的响应——以河北省张家口市为例
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摘要
基于张家口市2000,2010和2015年3期土地利用数据,用InVEST模型进行生境质量评估,采用地理加权回归模型(GWR)定量分析不同区域耕地、林地、草地和建设用地变化对生境质量演变的影响。研究结果显示,2000—2015年间,张家口市土地利用类型以耕地、林地和草地为主,耕地大量减少,林地和建设用地持续增加,以耕地向林地、草地和建设用地转移以及草地向林地和建设用地转移为主要变化方向。张家口市生境质量整体上处于较高水平并不断提高,东北坝缘山区和东南边缘山地生境质量最高,坝上高原区及桑干河流域河谷盆地次之,洋河河谷盆地生境质量最低。各地类对生境质量的影响具有显著的时空异质性:林地与生境质量变化总体上呈正相关关系且影响程度最大;草地与生境质量变化大致正相关,其回归系数由北向南递减;耕地和建设用地与生境质量在空间上主要表现为负相关,局部地区正相关。究其原因,主要在于不同区域生境质量变化的主导地类不同。坝上高原和坝缘山区的生境质量变化主要受林地和草地变化的影响,桑干河和洋河流域河谷盆地生境质量变化的主导因子则为耕地和建设用地。
Based on land use data of Zhangjiakou in 2000, 2010 and 2015, this paper investigated the spatiotemporal variation of habitat quality pattern of Zhangjiakou City by using InVEST, in order to understand the spatial patterns associated with the change of land use and habitat quality change, further introducing the geographical weighted regression(GWR) model, to quantitativly analyze the influence of cultivated land,woodland, grassland and construction land change on the evolution of habitat quality. The results showed that in the year 2000–2015, cultivated land, forest land and grassland were the main types of land use in Zhangjiakou City,during the reduction of cultivated land, forest land and construction land kept increasing, with farmland to woodland, grassland and construction land, grassland to forest landand construction land as the main transfer directions of change. During 2000–2015, Zhangjiakou City habitat quality was at a higher level overall and kept improving. Habitat quality was highest in northeast mountain area, Bashang plateau and the the Sanggan River valley region was lower, and the lowest level of habitat quality was in Yanghe River watershed. The influence of each land use type on habitat quality had significant spatio-temporal heterogeneity, and the change of forest land was positively correlated with habitat quality overall and most influential. The grassland had a positive correlation with the habitat quality, and its regression coefficient decreased from north to south. The main performance of cultivated land, construction land and habitat quality was negative correlation in space, but some area was positive correlation. The reason for the large heterogeneity of the regression coefficients in different regions lied in the different dominant types of habitat quality changes in different regions. The change of habitat quality in the plateau area and the northeast mountain area was mainly affected by woodland and grassland changes, and in Sanggan River and Yanghe River, the change of habitat quality basin for cultivated land and construction land.
Based on land use data of Zhangjiakou in 2000, 2010 and 2015, this paper investigated the spatiotemporal variation of habitat quality pattern of Zhangjiakou City by using InVEST, in order to understand the spatial patterns associated with the change of land use and habitat quality change, further introducing the geographical weighted regression(GWR) model, to quantitativly analyze the influence of cultivated land,woodland, grassland and construction land change on the evolution of habitat quality. The results showed that in the year 2000–2015, cultivated land, forest land and grassland were the main types of land use in Zhangjiakou City,during the reduction of cultivated land, forest land and construction land kept increasing, with farmland to woodland, grassland and construction land, grassland to forest landand construction land as the main transfer directions of change. During 2000–2015, Zhangjiakou City habitat quality was at a higher level overall and kept improving. Habitat quality was highest in northeast mountain area, Bashang plateau and the the Sanggan River valley region was lower, and the lowest level of habitat quality was in Yanghe River watershed. The influence of each land use type on habitat quality had significant spatio-temporal heterogeneity, and the change of forest land was positively correlated with habitat quality overall and most influential. The grassland had a positive correlation with the habitat quality, and its regression coefficient decreased from north to south. The main performance of cultivated land, construction land and habitat quality was negative correlation in space, but some area was positive correlation. The reason for the large heterogeneity of the regression coefficients in different regions lied in the different dominant types of habitat quality changes in different regions. The change of habitat quality in the plateau area and the northeast mountain area was mainly affected by woodland and grassland changes, and in Sanggan River and Yanghe River, the change of habitat quality basin for cultivated land and construction land.
引文
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[14]徐建宁,孙建国,陈海鹏.基于InVEST模型的生境质量评估--以横断山小江流域为例.安徽农业科学,2016,44(15):105-108
[15]杜世勋,荣月静.基于InVEST模型山西省土地利用变化的生物多样性功能研究.环境与可持续发展,2015,40(6):65-70
[16]宁秀红,郭龙,张海涛.基于空间自回归和地理加权回归模型的不同尺度下土地利用程度研究.华中农业大学学报,2013,32(4):48-54
[17]陈妍,乔飞,江磊.基于InVEST模型的土地利用格局变化对区域尺度生境质量的影响研究--以北京为例.北京大学学报(自然科学版),2016,52(3):553-562
[18]钟莉娜,王军.基于InVEST模型评估土地整治对生境质量的影响.农业工程学报,2017,33(1):250-255
[19]Propastin P.Modifying geographically weighted regression for estimating aboveground biomass in tropical rain-forests by multispectral remote sensing data.Int J Appl Earth Observ Geoinform,2012,18:82-90
[20]Fotheringham A S,Charlton M E,Brunsdon C.Geographically weighted regression:a natural evolution of the expansion method for spatial data analysis.Environment&Planning A,1998,30(11):1905-1927
[21]刘超,许月卿,孙丕苓,等.基于改进三位生态足迹模型的张家口市生态可持续性评价.水土保持通报,2016,36(6):169-176
[22]常上,李珊珊,宋豫秦.张家口市生态服务价值对土地利用变化的响应.北京大学学报(自然科学版),2015,51(6):1149-1156
[23]孙丕苓,许月卿,刘庆果,等.环京津贫困带土地利用多功能性的县域尺度时空分异及影响因素.农业工程学报,2017,33(15):283-292
[24]Liu Chao,Xu Yueqing,Sun Piling,et al.Land use change and its driving forces toward mutual conversion in Zhangjiakou City,a farming-pastoral ecotone in Northern China.Environ Monit Assess,2017,189:505
[25]黄安,许月卿,孙丕苓,等.基于多源数据人口分布空间化研究--以河北省张家口市为例.资源科学,2017,39(11):2186-2196
[2]赵国松,刘纪远,匡文慧,等.1990-2010年中国土地利用变化对生物多样性保护重点区域的扰动.地理学报,2014,69(11):1640-1650
[3]吴健生,曹祺文,石淑芹,等.基于土地利用变化的京津冀生境质量时空演变.应用生态学报,2015,26(11):3457-3466
[4]张景华,封志明,姜鲁光.土地利用/土地覆被分类系统研究进展.资源科学,2011,33(6):1195-1203
[5]欧阳志云,郑华.生态系统服务的生态学机制研究进展.生态学报,2009,29(11):6183-6188
[6]Bagstad K J,Villa F,Johnson G W,et al.ARIES-artificial intelligence for ecosystem services:a guide to models and data,version 1.0[R/OL].Burlington,VT:ARIES,2011[2018-03-09].https://unstats.un.org/unsd/envaccounting/seeaRev/meeting2013/EG13-BG-7.pdf
[7]Sherrouse B C,Semmens D J,Clement J M.An application of social values for ecosystem services(SolVES)to three national forests in Colorado and Wyoming.Ecological Indicators,2014,36:68-79
[8]Tallis H,Ricketts T,Guerry A,et al.InVEST 3.2.0user’s guide:integrated valuation of environmental services and tradeoffs.Stanford:The Natural Capital Project,2015
[9]韩会庆,李松,俞洪燕.贵州省贫困发生率与生境退化程度相关性分析.湖南师范大学自然科学学报,2017,40(3):15-20
[10]刘智方,唐立娜,邱全毅,等.基于土地利用变化的福建省生境质量时空变化研究.生态学报,2017,37(13):1-11
[11]孙传谆,甄霖,王超.基于InVEST模型的鄱阳湖湿地生物多样性情景分析.长江流域资源与环境,2015,24(7):1119-1125
[12]荣月静,张慧,王岩松.基于Logistic-CA-Aarkov与InVEST模型对南京市土地利用与生物多样性功能模拟评价.水土保持研究,2016,23(3):82-89
[13]白健,刘健,余坤勇,等.基于InVEST-Biodiversity模型的闽江流域生境质量变化评价.中国科技论文,2015,10(15):1782-1788
[14]徐建宁,孙建国,陈海鹏.基于InVEST模型的生境质量评估--以横断山小江流域为例.安徽农业科学,2016,44(15):105-108
[15]杜世勋,荣月静.基于InVEST模型山西省土地利用变化的生物多样性功能研究.环境与可持续发展,2015,40(6):65-70
[16]宁秀红,郭龙,张海涛.基于空间自回归和地理加权回归模型的不同尺度下土地利用程度研究.华中农业大学学报,2013,32(4):48-54
[17]陈妍,乔飞,江磊.基于InVEST模型的土地利用格局变化对区域尺度生境质量的影响研究--以北京为例.北京大学学报(自然科学版),2016,52(3):553-562
[18]钟莉娜,王军.基于InVEST模型评估土地整治对生境质量的影响.农业工程学报,2017,33(1):250-255
[19]Propastin P.Modifying geographically weighted regression for estimating aboveground biomass in tropical rain-forests by multispectral remote sensing data.Int J Appl Earth Observ Geoinform,2012,18:82-90
[20]Fotheringham A S,Charlton M E,Brunsdon C.Geographically weighted regression:a natural evolution of the expansion method for spatial data analysis.Environment&Planning A,1998,30(11):1905-1927
[21]刘超,许月卿,孙丕苓,等.基于改进三位生态足迹模型的张家口市生态可持续性评价.水土保持通报,2016,36(6):169-176
[22]常上,李珊珊,宋豫秦.张家口市生态服务价值对土地利用变化的响应.北京大学学报(自然科学版),2015,51(6):1149-1156
[23]孙丕苓,许月卿,刘庆果,等.环京津贫困带土地利用多功能性的县域尺度时空分异及影响因素.农业工程学报,2017,33(15):283-292
[24]Liu Chao,Xu Yueqing,Sun Piling,et al.Land use change and its driving forces toward mutual conversion in Zhangjiakou City,a farming-pastoral ecotone in Northern China.Environ Monit Assess,2017,189:505
[25]黄安,许月卿,孙丕苓,等.基于多源数据人口分布空间化研究--以河北省张家口市为例.资源科学,2017,39(11):2186-2196
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