2010
DOI: 10.1007/s11258-010-9880-0
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Effects of abiotic and anthropogenic factors on the spatial distribution of Quercus faginea in the Spanish Central Pyrenees

Abstract: Abiotic factors often are the most important factors influencing a species' distribution. Nevertheless, when investigating the underlying causes of a species' distribution, it is important to assess both the abiotic and the anthropogenic factors (land-use variables) that might have influenced the species' distribution. That is especially true in the Mediterranean Basin, where natural ecosystems have undergone significant changes in response to anthropogenic pressures in the region. In this study, we examined t… Show more

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Cited by 7 publications
(15 citation statements)
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“…Accordingly, in the Central Pre-Pyrenees, Q. faginea forests have expanded at lowlands with relative to highlands. Currently, almost all of the areas occupied by these forests are located between 450 m and 1,500 m of altitude (Kouba et al 2010). Furthermore, the results revealed a high probability of loss at sites with low slope.…”
Section: Effect Of Land Use Variables On Q Faginea Forests Changesmentioning
confidence: 88%
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“…Accordingly, in the Central Pre-Pyrenees, Q. faginea forests have expanded at lowlands with relative to highlands. Currently, almost all of the areas occupied by these forests are located between 450 m and 1,500 m of altitude (Kouba et al 2010). Furthermore, the results revealed a high probability of loss at sites with low slope.…”
Section: Effect Of Land Use Variables On Q Faginea Forests Changesmentioning
confidence: 88%
“…Maps of the cost distance to the nearest pasture and cropland were measures of transportation costs, i.e., calculate the least accumulative cost for moving from the source pixel (in this case pasture or cropland) to each of other pixels using slope as cost layer. The cost increase with an increasing of slope values up to 35°, beyond this steepness, areas were considered inaccessible to man and livestock (Kouba et al 2010). All maps were subset to identical extents at a spatial resolution of 20 m. Moran's I correlogram (Legendre and Legendre 1998) was used to assess the spatial autocorrelations (SAC) of the dependent variables.…”
Section: Dependent and Independent Variablesmentioning
confidence: 99%
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