首页> 外文期刊>Journal of Biogeography >The spatial distribution of vegetation types in the Serengeti ecosystem: the influence of rainfall and topographic relief on vegetation patch characteristics
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The spatial distribution of vegetation types in the Serengeti ecosystem: the influence of rainfall and topographic relief on vegetation patch characteristics

机译:塞伦盖蒂生态系统中植被类型的空间分布:降雨和地形起伏对植被斑块特征的影响

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The aim of this study is to introduce a structural vegetation map of the Serengeti ecosystem and, based on the map, to test the relative influences of landscape factors on the spatial heterogeneity of vegetation in the ecosystem.This study was conducted in the Serengeti-Maasai Mara ecosystem in northern Tanzania and southern Kenya, between 34 degrees and 36 degrees E longitude, and 1 degrees and 2 degrees S latitude.The vegetation map was produced from satellite imagery using data from over 800 ground-truthing points. Spatial characteristics of the vegetation were analysed in the resulting map using the fragstats software package. Average patch area and nearest neighbour distance (NND) were determined for grassland, shrubland and woodland vegetation types. The heterogeneity of vegetation types was estimated with Simpson's diversity index (D). Structural equation modelling (SEM) was used to explore the relationships between the spatial characteristics of vegetation and three predictor variables: annual rainfall, coefficient of variation (CV) in annual rainfall, and topographic moisture index (TMI).A vegetation map is presented along with a detailed summary of the distribution of land-cover classes and spatial heterogeneity in the ecosystem. Significant relationships were found between vegetation diversity (D) and TMI, and also between D and average rainfall. The average area of grassland patches showed significant relationships with average rainfall, with rainfall CV and with TMI. Grassland NND was positively associated with average rainfall. Woodland patch area showed a unimodal response to average rainfall and a negative linear association with TMI. Woodland NND showed a U-shaped association with annual rainfall and a weaker positive linear association with TMI. An acceptable model that explained variation in shrubland patch characteristics could not be identified.The vegetation map and analysis thereof resulted in three significant causal explanatory models that demonstrate that both rainfall and topography are important contributors to the distribution of woodlands and grasslands in the Serengeti. These findings further indicate that changes in patch characteristics have a complex interaction with rainfall and with topography. Our results are concordant with recent studies suggesting that percent woody cover in African savannas receiving less than c. 650 mm year(-1) is bounded by average annual rainfall.
机译:这项研究的目的是介绍塞伦盖蒂生态系统的结构性植被图,并在该图的基础上测试景观因子对生态系统中植被空间异质性的相对影响。东经34度至36度,南纬1度至2度之间的坦桑尼亚北部和肯尼亚南部的Mara生态系统。植被图是使用800多个地面真点的数据从卫星图像生成的。使用fragstats软件包在生成的地图中分析了植被的空间特征。确定了草地,灌木丛和林地植被类型的平均斑块面积和最近邻距离(NND)。植被类型的异质性用辛普森多样性指数(D)估算。使用结构方程模型(SEM)探索植被的空间特征与三个预测变量之间的关系:年降雨量,年降雨量的变异系数(CV)和地形湿度指数(TMI)。详细介绍了生态系统中土地覆盖类别的分布和空间异质性。发现植被多样性(D)与TMI之间以及D与平均降雨量之间存在显着的关系。草地斑块的平均面积与平均降雨量,降雨CV和TMI有显着关系。草地NND与平均降雨量呈正相关。林地斑块面积对平均降雨量表现出单峰响应,与TMI呈负线性关系。林地NND与年降水量呈U型联系,与TMI呈正线性联系。无法确定解释灌木丛斑块特征变化的可接受模型。植被图及其分析得出三个重要的因果解释模型,这些模型表明降雨和地形对塞伦盖蒂林地和草地的分布均起重要作用。这些发现进一步表明,斑块特征的变化与降雨和地形有复杂的相互作用。我们的结果与最近的研究一致,这些研究表明非洲大草原的木本植物覆盖率低于c。 650 mm年(-1)的平均年降雨量为界限。

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