平坦低地农业区人类活动影响下地形对森林分布的影响（英文）

编号 zgly0001584915

文献类型 期刊论文

文献题名 平坦低地农业区人类活动影响下地形对森林分布的影响（英文）

作者 MetteV.ODGAARD  PederK.BФCHER  TommyDALGAARD  JesperE.MOESLUND  Jens-ChristianSVENNING 

作者单位 DepartmentofAgroecology  AarhusUniversity  Ecoinformatics&BiodiversityGroup  DepartmentofBioscience  AarhusUniversity  DepartmentofComputerScience  AarhusUniversity 

母体文献 Journal of Geographical Sciences 

年卷期 2014年01期

年份 2014 

分类号 S718.5 

关键词 Europe  forestcover  geographicallyweightedregression  humanimpact  landscapedevelopment  topography  vegetationdistribution. 

文摘内容 Complex topography buffers forests against deforestation in mountainous regions.However,it is unknown if terrain also shapes forest distribution in lowlands where human impacts are likely to be less constrained by terrain.In such regions,if important at all,topographic effects will depend on cultural-historical factors and thus be human-driven(anthropogenic) rather than natural,except in regions where the general climate or extreme soils limit the occurrence of forests.We used spatial regression modeling to assess the extent to which topographic factors explain forest distribution(presence-absence at a 48×48 m resolution) in a lowland agricultural region(Denmark,43,075 km2) at regional and landscape scales(whole study area and 10×10 km grid cells,respectively),how landscape-scale forest-topography relationships vary geographically,and which potential drivers(topographic heterogeneity,forest cover,clay content,coastal/inland location) determine this geographic heterogeneity.Given a moist temperate climate and non-extreme soils all landscapes in Denmark would naturally be largely forest covered,and any topographic relationships will be totally or primarily human-driven.At regional scale,topographic predictors explained only 5% of the distribution of forest.In contrast,the explanatory power of topography varied from 0%–61% at landscape scale,with clear geographic patterning.Explanatory power of topography at landscape scale was moderately dependent on the potential drivers,with topographic control being strongest in areas with high topographic heterogeneity and little forest cover.However,these conditioning effects were themselves geographically variable.Our findings show that topography by shaping human land-use can affect forest distribution even in flat,lowland regions,but especially via localized,geographically variable effects.