<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Serrano, María Socorro</style></author><author><style face="normal" font="default" size="100%">Vita, Paolo</style></author><author><style face="normal" font="default" size="100%">Fernández-Rebollo, Pilar</style></author><author><style face="normal" font="default" size="100%">Sánchez Hernández, María Esperanza</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Calcium fertilizers induce soil suppressiveness to Phytophthora cinnamomi root rot of Quercus ilex</style></title><secondary-title><style face="normal" font="default" size="100%">European Journal of Plant Pathology</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">fertilization</style></keyword><keyword><style  face="normal" font="default" size="100%">limestone</style></keyword><keyword><style  face="normal" font="default" size="100%">Oak decline</style></keyword><keyword><style  face="normal" font="default" size="100%">Rangelands</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2011</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2011///</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.springerlink.com/index/10.1007/s10658-011-9871-6</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">132</style></volume><pages><style face="normal" font="default" size="100%">271 - 279</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">t Based on the observation that the root disease caused by P. cinnamomi on Q. ilex has a low incidence and severity in soils with medium-high Ca 2+ content, we studied the ability of Ca 2+ fertilizers to induce soil suppressiveness to the pathogen. Studies on cultures of P. cinnamomi exposed to different Ca 2+ fertilizers in vitro showed significant inhibition of sporangial, chlamydospore and zoospore production at millimolar concentrations while mycelial growth was mainly unaffected. Experiments performed with artificially infested soil showed that some Ca 2+ fertilizers induce a significant decrease on chlamydospore viability. Additionally, greenhouse experiments using artificially infested soils showed a significant reduction of foliar and root symptom severities in Holm oak seedlings growing in soils amended with Ca 2+ fertilizers. We suggest that limestone amendments in oak rangelands could enhance the suppressiveness of soils to P. cinnamomi, and it is likely that the inhibition of sporangial production was the main mechanism involved.</style></abstract><issue><style face="normal" font="default" size="100%">2</style></issue></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Schnabel, S</style></author><author><style face="normal" font="default" size="100%">Pulido-Fernández, M</style></author><author><style face="normal" font="default" size="100%">Lavado-Contador, J F</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Soil water repellency in rangelands of Extremadura (Spain) and its relationship with land management</style></title><secondary-title><style face="normal" font="default" size="100%">Catena</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Mediterranean type climate</style></keyword><keyword><style  face="normal" font="default" size="100%">Rangelands</style></keyword><keyword><style  face="normal" font="default" size="100%">Soil surface cover</style></keyword><keyword><style  face="normal" font="default" size="100%">water repellency</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2011</style></year></dates><publisher><style face="normal" font="default" size="100%">Elsevier B.V.</style></publisher><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Soil water repellency reduces inﬁltration capacity, enhancing overland ﬂow and even runoff production, and may produce patchiness in water inﬁltration at the hillslope scale. Knowledge about hydrophobicity in rangelands of Mediterranean type climate and its relation with vegetation cover and land management is sparse. The objectives of the present work are to determine the degree and spatial occurrence of soil water repellency and to deﬁne its relationship with site characteristics, such as soil, vegetation and land management in rangelands of SW Spain. Field work was conducted in September 2009 in 22 environmental units belonging to 10 farms, distributed throughout the region of Extremadura. The Molarity of an Ethanol Droplet (MED) method was used for measuring water repellency of the soil surface. A total of 725 points were sampled and the study was combined with a detailed vegetation survey, the determination of soil properties and of land use and management characteristics. More than 70% of the measurement points were hydrophilic, however differences between farm units were found. The highest values of hydrophobicity were observed on soil surfaces below the canopy of holm oaks, as compared to the low values found below shrub canopies (Retama sphaerocarpa) and in open areas. With respect to ground cover, water repellency was highest at sites covered by holm oak litter. At soil surfaces covered by cork oak litter, dry grass and mosses the degree of repellency was lower. Almost all sites with a bare soil surface were hydrophilic, independent of whether these were located below a tree canopy or in open areas. A signiﬁcant positive relationship between livestock density and the degree of bare soil existed, and consequently, areas with high animal numbers were dominantly hydrophilic. No signiﬁcant relationships were encountered between the degree of soil water repellency and soil properties.</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Gómez Gutiérrez, Álvaro</style></author><author><style face="normal" font="default" size="100%">Schnabel, Susanne</style></author><author><style face="normal" font="default" size="100%">Felicísimo, Ángel M</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Modelling the occurrence of gullies in rangelands of southwest Spain</style></title><secondary-title><style face="normal" font="default" size="100%">Earth Surface Processes and Landforms</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Gully erosion</style></keyword><keyword><style  face="normal" font="default" size="100%">MARS</style></keyword><keyword><style  face="normal" font="default" size="100%">predictive modelling</style></keyword><keyword><style  face="normal" font="default" size="100%">Rangelands</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2009</style></year></dates><volume><style face="normal" font="default" size="100%">1902</style></volume><pages><style face="normal" font="default" size="100%">1894-1902</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Gully erosion has been recognized as an important soil degradation process in rangelands of southwest Spain. In this paper, a relatively new data mining technique called Multivariate Adaptive Regression Splines (MARS) was applied to construct a model capable of predicting the location of gullies. A large database was used to support the model composed of a target variable (presence or absence of gullies) and 36 independent variables related to topography, lithology, soils, rainfall, land use and vegetation cover. The performance of the model was evaluated using the Receiver Operating Characteristic (ROC) curve for ﬁ ve external datasets. The model had high predictive power, with values for the area under the ROC curve of the external validation datasets varying from 0·75 to 0·98 (1·0 being perfect prediction). The most important variables explaining the spatial distribution of gullies were lithology and soil type. Finally the model was compiled and implemented into a geographical information system to obtain maps of susceptible areas for gully erosion. These maps show that approximately 7% of the study area presents favourable conditions for the development of gullies. The results demonstrate that MARS constitutes a valuable model in geomorphic research and could also be a useful tool for assessing the impacts of changing climate and land use on gully erosion.</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Gaspar, P</style></author><author><style face="normal" font="default" size="100%">Mesías, F J</style></author><author><style face="normal" font="default" size="100%">Escribano, M</style></author><author><style face="normal" font="default" size="100%">Pulido, F</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Sustainability in Spanish Extensive Farms (Dehesas): An Economic and Management Indicator-Based Evaluation</style></title><secondary-title><style face="normal" font="default" size="100%">Rangeland Ecology &amp; Management</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">livestock production</style></keyword><keyword><style  face="normal" font="default" size="100%">management strategies</style></keyword><keyword><style  face="normal" font="default" size="100%">MESMIS</style></keyword><keyword><style  face="normal" font="default" size="100%">Rangelands</style></keyword><keyword><style  face="normal" font="default" size="100%">Sustainability indicators</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2009</style></year></dates><volume><style face="normal" font="default" size="100%">62</style></volume><pages><style face="normal" font="default" size="100%">153-162</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">The dehesa is defined as an agroforestry system that is characteristic of the southwestern Iberian Peninsula, where grassland is combined with evergreen species of the genus Quercus. Those systems have been gradually transformed from the Mediterranean forest into a unique kind of pastoral woodland by means of an agricultural use. Dehesas occupy more than 6 million ha, and the livestock systems that are based in them are of vital importance for their sustainability. The present work classifies, describes, and evaluates the sustainability of these systems in the Spanish region of Extremadura (southwestern Spain). To this end, we apply a methodological adaptation of the Framework for the Evaluation of Management Systems incorporating Sustainability Index (MESMIS). MESMIS is based on the evaluation of basic attributes of sustainability from indicators that allow one to make a simultaneous and comparative analysis of different types of farms. For the study, 69 farms were selected at random, and were classified using multivariate techniques into four types according to their level of intensification and productive orientation. The results were used to obtain an overall value of sustainability from a technical economic perspective for each farm type present in the dehesa. The mixed systems (beef cattle–sheep–Iberian pigs) have been found to be the most sustainable in general terms. The high–stocking rate sheep dehesas are the least sustainable, although at present, they are the most profitable. The other two groups analyzed, “low–stocking rate sheep farms” and “beef cattle farms,” had intermediate and similar scores. Mixed livestock dehesa farms are the closest to the traditional systems with a highly diverse production, an optimal use of the system's resources, and little dependence on external subsidies. In the present context, with uncertainties about European Union subsidies, this type of farm should be a goal for dehesa farmers.</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Gaspar, P.</style></author><author><style face="normal" font="default" size="100%">Mesías, F. J.</style></author><author><style face="normal" font="default" size="100%">Escribano, M.</style></author><author><style face="normal" font="default" size="100%">Pulido, F.</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Sustainability in Spanish Extensive Farms (Dehesas): An Economic and Management Indicator-Based Evaluation</style></title><secondary-title><style face="normal" font="default" size="100%">Rangeland Ecology &amp; Management</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">livestock production</style></keyword><keyword><style  face="normal" font="default" size="100%">management strategies</style></keyword><keyword><style  face="normal" font="default" size="100%">MESMIS</style></keyword><keyword><style  face="normal" font="default" size="100%">Rangelands</style></keyword><keyword><style  face="normal" font="default" size="100%">Sustainability indicators</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2009</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2009///</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">62</style></volume><pages><style face="normal" font="default" size="100%">153 - 162</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">The dehesa is defined as an agroforestry system that is characteristic of the southwestern Iberian Peninsula, where grassland is combined with evergreen species of the genus Quercus. Those systems have been gradually transformed from the Mediterranean forest into a unique kind of pastoral woodland by means of an agricultural use. Dehesas occupy more than 6 million ha, and the livestock systems that are based in them are of vital importance for their sustainability. The present work classifies, describes, and evaluates the sustainability of these systems in the Spanish region of Extremadura (southwestern Spain). To this end, we apply a methodological adaptation of the Framework for the Evaluation of Management Systems incorporating Sustainability Index (MESMIS). MESMIS is based on the evaluation of basic attributes of sustainability from indicators that allow one to make a simultaneous and comparative analysis of different types of farms. For the study, 69 farms were selected at random, and were classified using multivariate techniques into four types according to their level of intensification and productive orientation. The results were used to obtain an overall value of sustainability from a technical economic perspective for each farm type present in the dehesa. The mixed systems (beef cattle–sheep–Iberian pigs) have been found to be the most sustainable in general terms. The high–stocking rate sheep dehesas are the least sustainable, although at present, they are the most profitable. The other two groups analyzed, “low–stocking rate sheep farms” and “beef cattle farms,” had intermediate and similar scores. Mixed livestock dehesa farms are the closest to the traditional systems with a highly diverse production, an optimal use of the system's resources, and little dependence on external subsidies. In the present context, with uncertainties about European Union subsidies, this type of farm should be a goal for dehesa farmers.</style></abstract><issue><style face="normal" font="default" size="100%">2</style></issue></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Gutiérrez, Álvaro Gómez</style></author><author><style face="normal" font="default" size="100%">Schnabel, Susanne</style></author><author><style face="normal" font="default" size="100%">Lavado Contador, J Francisco</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Using and comparing two nonparametric methods (CART and MARS) to model the potential distribution of gullies</style></title><secondary-title><style face="normal" font="default" size="100%">Ecological Modelling</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">CART</style></keyword><keyword><style  face="normal" font="default" size="100%">Gully erosion</style></keyword><keyword><style  face="normal" font="default" size="100%">MARS</style></keyword><keyword><style  face="normal" font="default" size="100%">Nonparametric modelling</style></keyword><keyword><style  face="normal" font="default" size="100%">Rangelands</style></keyword><keyword><style  face="normal" font="default" size="100%">ROC curve</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2009</style></year></dates><volume><style face="normal" font="default" size="100%">220</style></volume><pages><style face="normal" font="default" size="100%">3630-3637</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Gully erosion represents an important soil degradation process in rangelands. In order to take preventive or control measures and to reduce its environmental damages and economical costs it is useful to localize the points in the landscape where gullying takes place and to determine the importance of the different factors involved. The study is carried out in Extremadura, southwest Spain. The main objectives of this work are: (a) comparing two nonparametric schemes to model the potential distribution of gullies, (b) evaluating the importance of the different factors involved in gullying processes, (c) analyzing the role of prevalence in the success of the model and ﬁnally, (d) implementing and mapping the results with the help of a Geographical Information System (GIS). Two methods were used to model the response of a dependent variable (gullying) from a set of independent variables: Classiﬁcation And Regression Trees (CART) and Multivariate Adaptive Regression Splines (MARS). Three different datasets were used; the ﬁrst one for constructing the model (training dataset) and the others for validating the model (external datasets). These datasets are formed by a target variable (presence or absence of gullies) and a set of independent variables. The dependent variable was obtained by mapping the locations of gullies with the help of a GPS and high resolution aerial ortophotographs. A set of 32 independent variables reﬂecting topography, lithology, soil type, climate, land use and vegetation cover of each area were used. The performance of the models was evaluated using a non-dependent threshold method: the Receiver Operating Characteristic (ROC) curve. The results showed a better performance of MARS for predicting gullying with areas under the ROC curve of 0.98 and 0.97 for the validation datasets, while CART presented values of 0.96 and 0.66.</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Gutiérrez, Álvaro Gómez</style></author><author><style face="normal" font="default" size="100%">Schnabel, Susanne</style></author><author><style face="normal" font="default" size="100%">Lavado Contador, J. Francisco</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Using and comparing two nonparametric methods (CART and MARS) to model the potential distribution of gullies</style></title><secondary-title><style face="normal" font="default" size="100%">Ecological Modelling</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">CART</style></keyword><keyword><style  face="normal" font="default" size="100%">Gully erosion</style></keyword><keyword><style  face="normal" font="default" size="100%">MARS</style></keyword><keyword><style  face="normal" font="default" size="100%">Nonparametric modelling</style></keyword><keyword><style  face="normal" font="default" size="100%">Rangelands</style></keyword><keyword><style  face="normal" font="default" size="100%">ROC curve</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2009</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2009///</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://linkinghub.elsevier.com/retrieve/pii/S0304380009004104</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">220</style></volume><pages><style face="normal" font="default" size="100%">3630 - 3637</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Gully erosion represents an important soil degradation process in rangelands. In order to take preventive or control measures and to reduce its environmental damages and economical costs it is useful to localize the points in the landscape where gullying takes place and to determine the importance of the different factors involved. The study is carried out in Extremadura, southwest Spain. The main objectives of this work are: (a) comparing two nonparametric schemes to model the potential distribution of gullies, (b) evaluating the importance of the different factors involved in gullying processes, (c) analyzing the role of prevalence in the success of the model and ﬁnally, (d) implementing and mapping the results with the help of a Geographical Information System (GIS). Two methods were used to model the response of a dependent variable (gullying) from a set of independent variables: Classiﬁcation And Regression Trees (CART) and Multivariate Adaptive Regression Splines (MARS). Three different datasets were used; the ﬁrst one for constructing the model (training dataset) and the others for validating the model (external datasets). These datasets are formed by a target variable (presence or absence of gullies) and a set of independent variables. The dependent variable was obtained by mapping the locations of gullies with the help of a GPS and high resolution aerial ortophotographs. A set of 32 independent variables reﬂecting topography, lithology, soil type, climate, land use and vegetation cover of each area were used. The performance of the models was evaluated using a non-dependent threshold method: the Receiver Operating Characteristic (ROC) curve. The results showed a better performance of MARS for predicting gullying with areas under the ROC curve of 0.98 and 0.97 for the validation datasets, while CART presented values of 0.96 and 0.66.</style></abstract><issue><style face="normal" font="default" size="100%">24</style></issue></record></records></xml>