<?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></contributors><titles><title><style face="normal" font="default" size="100%">An experts survey on sustainability across twenty-seven extensive European systems of grassland management.</style></title><secondary-title><style face="normal" font="default" size="100%">Environmental management</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2008</style></year></dates><volume><style face="normal" font="default" size="100%">42</style></volume><pages><style face="normal" font="default" size="100%">190-199</style></pages><isbn><style face="normal" font="default" size="100%">0026700891342</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">European Large Scale Grazing Systems (LSGS) are at a crossroad with environmental, agronomic, and social factors interacting on their future viability. This research assesses the current environmental and socio-economic status of a wide range of European LSGS according to an agreed subset of sustainability criteria and indicators, which have been recognized by corresponding experts and privileged observers on their respective case-study system. A survey questionnaire was drafted containing five main criteria (pastoral use, environmental, economic, social, and market and development), with four conceptual-scored variables (indicators) within each criterion. Descriptive, analytical and clustering statistical techniques helped to draw a synthesis of the main result and to standardize sustainability variables across different biogeographical regions and management situations. The results show large multicollinearity among the 20 variables proposed. This dependence was revealed by the reduction to six main factor-components, which accounted for about 73% of the total variance in responses. Aggregation of point-score indicators across criteria to obtain a sustainability index can be of less policy relevance than responses to specific criteria or indicators. Affinity between case-study systems, as judged by collaborative-expert responses, was not related to biogeographical location, operating livestock sector, or population density in their areas. The results show larger weaknesses and constraints in the economic and social criteria than in the pastoral and environmental criteria, and the large heterogeneity of responses appears in the social criterion.</style></abstract><accession-num><style face="normal" font="default" size="100%">18491183</style></accession-num></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%">Caballero, Rafael</style></author><author><style face="normal" font="default" size="100%">Gil, Angel</style></author><author><style face="normal" font="default" size="100%">Fernández-Santos, Xavier</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">An experts survey on sustainability across twenty-seven extensive European systems of grassland management.</style></title><secondary-title><style face="normal" font="default" size="100%">Environmental management</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">European agriculture</style></keyword><keyword><style  face="normal" font="default" size="100%">Low-input grazing systems</style></keyword><keyword><style  face="normal" font="default" size="100%">Sustainability indicators</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2008</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2008///</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.ncbi.nlm.nih.gov/pubmed/18491183</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">42</style></volume><pages><style face="normal" font="default" size="100%">190 - 199</style></pages><isbn><style face="normal" font="default" size="100%">0026700891342</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">European Large Scale Grazing Systems (LSGS) are at a crossroad with environmental, agronomic, and social factors interacting on their future viability. This research assesses the current environmental and socio-economic status of a wide range of European LSGS according to an agreed subset of sustainability criteria and indicators, which have been recognized by corresponding experts and privileged observers on their respective case-study system. A survey questionnaire was drafted containing five main criteria (pastoral use, environmental, economic, social, and market and development), with four conceptual-scored variables (indicators) within each criterion. Descriptive, analytical and clustering statistical techniques helped to draw a synthesis of the main result and to standardize sustainability variables across different biogeographical regions and management situations. The results show large multicollinearity among the 20 variables proposed. This dependence was revealed by the reduction to six main factor-components, which accounted for about 73% of the total variance in responses. Aggregation of point-score indicators across criteria to obtain a sustainability index can be of less policy relevance than responses to specific criteria or indicators. Affinity between case-study systems, as judged by collaborative-expert responses, was not related to biogeographical location, operating livestock sector, or population density in their areas. The results show larger weaknesses and constraints in the economic and social criteria than in the pastoral and environmental criteria, and the large heterogeneity of responses appears in the social criterion.</style></abstract><issue><style face="normal" font="default" size="100%">2</style></issue><notes><style face="normal" font="default" size="100%">The following values have no corresponding Zotero field:&lt;br/&gt;accession-num: 18491183</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Caballero, Rafael</style></author><author><style face="normal" font="default" size="100%">Riseth JÅand Labba, Niklas</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Comparative Typology in Six European Lowâ€Intensity Systems of Grassland Management</style></title><secondary-title><style face="normal" font="default" size="100%">Advances in Agronomy</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">economic performance</style></keyword><keyword><style  face="normal" font="default" size="100%">Grazing lands</style></keyword><keyword><style  face="normal" font="default" size="100%">Grazing management</style></keyword><keyword><style  face="normal" font="default" size="100%">grazing systems</style></keyword><keyword><style  face="normal" font="default" size="100%">land use</style></keyword><keyword><style  face="normal" font="default" size="100%">productivity (voyant)</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2007</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2007///</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.sciencedirect.com/science/article/pii/S0065211307960010</style></url></web-urls></urls><publisher><style face="normal" font="default" size="100%">Elsevier Inc.</style></publisher><pages><style face="normal" font="default" size="100%">351 - 420</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">management with varying degrees of arrangements in different European countries and landscapes. These large-scale grazing systems (LSGS) are rein- deer husbandry in Northern Sapmi (Fennoscandia), sheep grazing in the Polish Tatra mountains, cattle grazing in the Swiss and German Alps, cattle, sheep, and pig grazing in Baixo Alentejo, Southern Portugal, and sedentary sheep grazing in Central Spain. These systems showed very heterogeneous organizational patterns in their way of exploiting the pastoral resources. At the same time, these LSGS showed at least some of the following weaknesses such as poor economic performance, social fragility, and structural shortcomings for proper grazing management. Lack of proper mobility of herds/flocks or accession to specific grazing grounds can be a cause of environmental hazards. The sur- veyed LSGS are mostly dependent on public handouts for survival, but succes- sive policy schemes have only showed mixed effects and, in particular study areas, clear inconsistencies in their aim to stop the general declining trend of LSGS. This research assumed that detailed system research may open the way for better-focused policy intervention, but policymakers need to take advantage of this period of support to push ahead for reforms. Recent European Union (EU) guidelines (2007–2013) on Rural Development Policy (RDP) and its operative scale of high nature value (HNV) farmland can easily fit the structure and functions of low-input grazing systems and LSGS.</style></abstract><notes><style face="normal" font="default" size="100%">The following values have no corresponding Zotero field:&lt;br/&gt;periodical: Advances in Agronomy&lt;br/&gt;electronic-resource-num: 10.1016/S0065-2113(07)96001-0</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>7</ref-type><contributors></contributors><titles><title><style face="normal" font="default" size="100%">Comparative Typology in Six European Lowâ€Intensity Systems of Grassland Management</style></title><secondary-title><style face="normal" font="default" size="100%">Advances in Agronomy</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2007</style></year></dates><publisher><style face="normal" font="default" size="100%">Elsevier Inc.</style></publisher><pages><style face="normal" font="default" size="100%">351-420</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">management with varying degrees of arrangements in different European countries and landscapes. These large-scale grazing systems (LSGS) are rein- deer husbandry in Northern Sapmi (Fennoscandia), sheep grazing in the Polish Tatra mountains, cattle grazing in the Swiss and German Alps, cattle, sheep, and pig grazing in Baixo Alentejo, Southern Portugal, and sedentary sheep grazing in Central Spain. These systems showed very heterogeneous organizational patterns in their way of exploiting the pastoral resources. At the same time, these LSGS showed at least some of the following weaknesses such as poor economic performance, social fragility, and structural shortcomings for proper grazing management. Lack of proper mobility of herds/flocks or accession to specific grazing grounds can be a cause of environmental hazards. The sur- veyed LSGS are mostly dependent on public handouts for survival, but succes- sive policy schemes have only showed mixed effects and, in particular study areas, clear inconsistencies in their aim to stop the general declining trend of LSGS. This research assumed that detailed system research may open the way for better-focused policy intervention, but policymakers need to take advantage of this period of support to push ahead for reforms. Recent European Union (EU) guidelines (2007–2013) on Rural Development Policy (RDP) and its operative scale of high nature value (HNV) farmland can easily fit the structure and functions of low-input grazing systems and LSGS.</style></abstract></record></records></xml>