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6 results for “Dehesa”
ipaast-czo case study: Dehesa Boyal de Botija
<p>VV01 (“Cerca del cementerio” sector). Data set description.</p> <p>One single geophysical method was used:</p> <ul> <li>Electromagnetic induction with a EM38Mk2 by Geonics. Although topography obliged to split the survey area in 3 independent data sets, after correction and merging of all the data in one single data set it was observed that, considering the small time lapse between each one and homogeneous weather conditions, no significant discontinuity in measured data was observed.</li> </ul> <p>The interest on testing EMI survey in this dehesa environment within the framework of the IPAAST project was motivated with a triple objective:</p> <ul> <li>The aim of exploring off-site activities around the hillfort of Villasviejas: traces of intensive agriculture, industrial activities, dumping areas, mining etc.</li> <li>The aim of assessing the composition and depth of soils in the area in order to evaluate the representativeness of surface finds and make a regression analysis on the potential distribution of arable lands during the Iron Age in the area.</li> <li>The aim of combining geophysical methods commonly used in precision agriculture and archaeology in order to evaluate their interoperability and the complementary information they can provide.</li> </ul> <p>VV01 sector corresponds to an area of dehesa named “Cerca del cementerio” (“cemetery enclosure”): it is a land plot 70m SW of the hillfort with a surface of 5240 sq. m. Previous knowledge of the area revealed the presence of a high density of archaeological materials, but there was no clear evidence of buried structures. A particular feature of this sector was the great depth of soil deposits within the walled enclosure, in great contrast with the surrounding fields. Data sets:</p> <ul> <li> EMI04. <ul> <li>01 Vector limits of survey area</li> <li>02 Vector file of point data</li> <li>03 Raster interpolation of quad-phase (conductivity) 0,5m</li> <li>04 Raster interpolation of quad-phase (conductivity) 1m</li> <li>05 Raster interpolation of in-phase (magnetic susceptibility) 0,5m</li> <li>06 Raster interpolation of in-phase (magnetic susceptibility) 1m</li> </ul> </li> </ul> <p>VV02 (Mercadillo sector). Data set description.</p> <p>Two main methods were used:</p> <ul> <li>Magnetic survey: a dual-sensor gradiometer system (Grad602 Bartington)</li> <li>Electromagnetic induction with a EM38Mk2 by Geonics. Dense vegetation and topography obliged to split the survey area in 3 independent data sets.</li> </ul> <p>Additionally several areas were surveyed with GPR (Nogging system of Sensor&Software).</p> <p>The interest on testing different survey methods in the framework of the IPAAST project was motivated with a triple objective:</p> <ul> <li>The aim of exploring off-site activities around the hillfort of Villasviejas: traces of intensive agriculture, industrial activities, dumping areas, mining etc.</li> <li>The aim of assessing the composition and depth of soils in the area in order to evaluate the representativeness of surface finds and make a regression analysis on the potential distribution of arable lands during the Iron Age in the area.</li> <li>The aim of combining geophysical methods commonly used in precision agriculture and archaeology in order to evaluate their interoperability and the complementary information they can provide.</li> </ul> <p>VV02 sector corresponds to an area of dehesa named “El Mercadillo (“little market”). It is located 150 m south of the hillfort of Villasviejas and covers a surface of approx. 3500 sq m. In this sector was excavated in the 1980s a funerary area corresponding to the earliest period of the hillfort (IV-II centuries B.C). Analysis of LiDAR data revealed that in the same area there were several topographic features that could be linked with off-site activity during the protohistoric and early roman period. Data sets:</p> <ul> <li> EMI01. <ul> <li>01 Vector limits of survey area</li> <li>02 Vector file of point data</li> <li>03 Raster interpolation of quad-phase (conductivity) 0,5m</li> <li>04 Raster interpolation of quad-phase (conductivity) 1m</li> <li>05 Raster interpolation of in-phase (magnetic susceptibility) 0,5m</li> <li>06 Raster interpolation of in-phase (magnetic susceptibility) 1m</li> </ul> </li> <li> EMI02. <ul> <li>01 Vector limits of survey area</li> <li>02 Vector file of point data</li> <li>03 Raster interpolation of quad-phase (conductivity) 0,5m</li> <li>04 Raster interpolation of quad-phase (conductivity) 1m</li> <li>05 Raster interpolation of in-phase (magnetic susceptibility) 0,5m</li> <li>06 Raster interpolation of in-phase (magnetic susceptibility) 1m</li> </ul> </li> <li>EMI03. <ul> <li>01 Vector limits of survey area</li> <li>02 Vector file of point data</li> <li>03 Raster interpolation of quad-phase (conductivity) 0,5m</li> <li>04 Raster interpolation of quad-phase (conductivity) 1m</li> <li>05 Raster interpolation of in-phase (magnetic susceptibility) 0,5m</li> <li>06 Raster interpolation of in-phase (magnetic susceptibility) 1m</li> </ul> </li> <li>MAG01. <ul> <li>01 Vector limits of survey area.</li> <li>02 Vector point file of vertices of survey area.</li> <li>03 Grid composite.</li> <li>04 Raster interpolation of magnetic data.</li> </ul> </li> </ul> <p> </p>
Biogeochemical cycles in holm oak dehesas
<p><span>In anthropic savannah ecosystems from the Iberian Peninsula (i.e., dehesa), complex interactions between climate change, pathogen outbreaks and human land use are presumed to be behind the observed increase in holm oak decline. These environmental disturbances alter the plant-soil microbial continuum, which can destabilize the ecological balance that sustains tree health. Yet, little is known about the underlying mechanisms, particularly the directions and nature of the causal-effect relations between plants and soil microbial communities. </span></p> <p><span>In this study, we aimed to determine the role of plant-soil feedbacks in climate-induced holm oak decline in the Iberian dehesa. Using a gradient of holm oak health, we reconstructed key soil biogeochemical cycles mediated by soil microbial communities. We used quantitative microbial element cycling (QMEC), a functional gene-array-based high-throughput technique to assess microbial functional potential in carbon (C), nitrogen (N), phosphorous (P), and sulfur (S) cycling. </span></p> <p><span>The onset of holm oak decline was positively related with the increase in relative abundance of soil microbial functional genes associated with denitrification and phosphorous mineralization (i.e., <em>nirS3</em>, <em>ppx</em> and <em>pqqC</em>; parameter value: 0.21, 0.23 and 0.4; p<0.05). The structural equation model (ꭓ<sup>2</sup> = 32.26, p-value = 0.73), moreover, showed a negative association between these functional genes and soil nutrient availability (i.e., mainly mineral nitrogen and phosphate). Particularly, the holm oak crown health was mainly determined by the abundance of phosphate (parameter value=0.27; p-value<0.05) and organic phosphorus (parameter value=-0.37; p-value<0.5). </span></p> <div> <p><span>Hence, we propose a potential tree-soil feedback loop, in which the decline of holm oak promotes changes in the soil environment that trigger changes in key microbial-mediated metabolic pathways related to the net loss of soil N and P mineral forms. The shortage of essential nutrients, in turn, affects the ability of the trees to withstand the environmental stressors to which they are exposed. </span></p> </div>
Biogeochemical cycles in holm oak dehesas
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DOLMEN DEHESA ARROYO DE LA LUZ
Source: Objaverse 1.0 / Sketchfab
Data from: Does functional soil microbial diversity contribute to explain within-site plant β-diversity in an alpine grassland and a dehesa meadow in Spain?
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Fuente de la Dehesa de la Villa (Madrid)
Fotogrametría de la Fuente de la Tomasa, en Dehesa de la Villa, Madrid. Es una fuente del siglo XX. Source: Objaverse 1.0 / Sketchfab
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