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10.1371/journal.pone.0145192 http://scihub22266oqcxt.onion/10.1371/journal.pone.0145192 C4679339!4679339!26660502     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=26660502&cmd=llinks): Failed to open stream: HTTP request failed! 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Multiple Scales of Control on the Structure and Spatial Distribution of Woody Vegetation in African Savanna Watersheds |pdf=|usr=}}{{26660502}} gab.com Text Multiple Scales of Control on the Structure and Spatial Distribution of Woody Vegetation in African Savanna Watersheds JO: PLoS One http://www.kidney.de/pget.php?&tw=1&pmid=26660502 #FOAvip Factors controlling savanna woody vegetation structure vary at multiple spatial and temporal scales, and as a consequence, unraveling their combined effects has proven to be a classic challenge in savanna ecology. We used airborne LiDAR (light detection and ranging) to map three-dimensional woody vegetation structure throughout four savanna watersheds, each contrasting in geologic substrate and climate, in Kruger National Park, South Africa. By comparison of the four watersheds, we found that geologic substrate had a stronger effect than climate in determining watershed-scale differences in vegetation structural properties, including cover, height and crown density. Generalized Linear Models were used to assess the spatial distribution of woody vegetation structural properties, including cover, height and crown density, in relation to mapped hydrologic, topographic and fire history traits. For each substrate and climate combination, models incorporating topography, hydrology and fire history explained up to 30% of the remaining variation in woody canopy structure, but inclusion of a spatial autocovariate term further improved model performance. Both crown density and the cover of shorter woody canopies were determined more by unknown factors likely to be changing on smaller spatial scales, such as soil texture, herbivore abundance or fire behavior, than by our mapped regional-scale changes in topography and hydrology. We also detected patterns in spatial covariance at distances up to 50?450 m, depending on watershed and structural metric. Our results suggest that large-scale environmental factors play a smaller role than is often attributed to them in determining woody vegetation structure in southern African savannas. This highlights the need for more spatially-explicit, wide-area analyses using high resolution remote sensing techniques. Twit Text FOAVip Multiple Scales of Control on the Structure and Spatial Distribution of Woody Vegetation in African Savanna Watersheds ????PLoS One http://www.kidney.de/pget.php?&tw=1&pmid=26660502 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26660502 #FOAvip English Wikipedia <ref>{{Cite pmid|26660502}}</ref> Multiple Scales of Control on the Structure and Spatial Distribution of Woody Vegetation in African Savanna Watersheds #MMPMID26660502 Vaughn NR; Asner GP; Smit IPJ; Riddel ES PLoS One 2015[]; 10 (12): ä PMID26660502show ga Factors controlling savanna woody vegetation structure vary at multiple spatial and temporal scales, and as a consequence, unraveling their combined effects has proven to be a classic challenge in savanna ecology. We used airborne LiDAR (light detection and ranging) to map three-dimensional woody vegetation structure throughout four savanna watersheds, each contrasting in geologic substrate and climate, in Kruger National Park, South Africa. By comparison of the four watersheds, we found that geologic substrate had a stronger effect than climate in determining watershed-scale differences in vegetation structural properties, including cover, height and crown density. Generalized Linear Models were used to assess the spatial distribution of woody vegetation structural properties, including cover, height and crown density, in relation to mapped hydrologic, topographic and fire history traits. For each substrate and climate combination, models incorporating topography, hydrology and fire history explained up to 30% of the remaining variation in woody canopy structure, but inclusion of a spatial autocovariate term further improved model performance. Both crown density and the cover of shorter woody canopies were determined more by unknown factors likely to be changing on smaller spatial scales, such as soil texture, herbivore abundance or fire behavior, than by our mapped regional-scale changes in topography and hydrology. We also detected patterns in spatial covariance at distances up to 50?450 m, depending on watershed and structural metric. Our results suggest that large-scale environmental factors play a smaller role than is often attributed to them in determining woody vegetation structure in southern African savannas. This highlights the need for more spatially-explicit, wide-area analyses using high resolution remote sensing techniques. äMultiple Scales of Control on the Structure and Spatial Distribution o(epmc).pdf DeepDyve Pubget Overpricing