Abstract
Plant and soil landscapes across bioclimatic belts and drainage basins were studied using georeferenced databases in arid lands of SE Spain, the driest area of Europe. The syntaxonomic system was used to analyze phytocenoses and bioclimatic belts, as well as the concept of potential natural vegetation (PNV), a common approach in many countries of continental Europe. Soil types included in pedological databases were classified using the World Reference Base for Soil Resources international system (FAO 1998). Both bioclimatic belts and drainage basins effectively discriminate soil and plant assemblages in the study area of the Almeria province. The syntaxonomic perspective permits distinguishing between PNV dependent on (i) climate (climatophylous), (ii) climate and lithology, and (iii) soils (edaphophylous). Richness-area relationships of plant and soil assemblages fit well to power law distributions, showing few idiosyncratic differences. PNV, lithological associations, and soil richness are clearly correlated with the area of each climatic beltand watershed. PNV and pedotaxa richness (understood as a number of taxa at a given hierarchical level) increases from the mountain tops to the coastal lands. Around 59% of the PNV units are edaphophylous and 87% of these are edaphohygrophylous that require water supply or tolerate water excess in riverbed ramblas (dry watercourses). Edaphohygrophylous PNV are distributed in small patches within a very arid matrix. They can be considered as plant “biodiversity islands”, a concept different from that of “fertility islands” used by ecologists in arid land studies. The spatial dispersion of these phytocenoses prevents adequate preservation in the frame of conservation biology policies. At landscape level, the extent of plant communities is as follows: PNV climate dependent > PNV climate-lithology dependent > PNV soil dependent. The diversity of plant communities follows an opposite trend: PNV soil dependent > PNV climate-lithology dependent > PNV climate dependent. The PNV most conditioned by soil properties are located along the streambeds of ramblas. These fluvial sediments are not reported as soil materials in soil maps. PNV, soils and lithological associations by drainage basins conform to the predictions of the statistical tool termed nested subsets theory. However, lithological associations by climatic belts depart from this spatial pattern.
Highlights
The province of Almería houses the driest landscapes in Europe, including desert areas (Puigdefábregas and Mendizábal 1998)
The purpose of this study is to analyse the spatial patterns of vegetation, soils, climate, lithology, and the relations among them, implementing quantitative tools used in biodiversity and pedodiversity studies, in such a way that the results obtained can be compared with those detected in other geographical areas and environments (Ibáñez and Effland 2011)
Soil and vegetation layers were analysed by overlaying the georeferenced datasets by (i) drainage basins (DB) and (ii) bioclimatic belts (BB)
Summary
The province of Almería houses the driest landscapes in Europe, including desert areas (Puigdefábregas and Mendizábal 1998). The purpose of this study is to analyse the spatial patterns of vegetation, soils, climate (bioclimatic units), lithology, and the relations among them, implementing quantitative tools used in biodiversity and pedodiversity studies, in such a way that the results obtained can be compared with those detected in other geographical areas and environments (Ibáñez and Effland 2011). This study mainly pays attention to the understanding of soilscapes, considering several of their forming factors including vegetation, lithology, climate, as well as surrogate indicators of landforms and human impacts. This paper does not intend to discuss processes of erosion and desertification, but rather to provide a territorial analysis that may be useful for more specific purposes, such as land planning policy as well as biodiversity and pedodiversity preservation (Magurran 2004; Ibáñez et al 1990, 1995, 2012)
Published Version
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