<?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%">Ortega, M.</style></author><author><style face="normal" font="default" size="100%">Saura, S.</style></author><author><style face="normal" font="default" size="100%">González-Avila, S.</style></author><author><style face="normal" font="default" size="100%">Gómez-Sanz, V.</style></author><author><style face="normal" font="default" size="100%">Elena-Rosselló, R.</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Landscape vulnerability to wildfires at the forest-agriculture interface: half-century patterns in Spain assessed through the SISPARES monitoring framework</style></title><secondary-title><style face="normal" font="default" size="100%">Agroforestry Systems</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">agroforestry mosaics</style></keyword><keyword><style  face="normal" font="default" size="100%">landscape dynamics</style></keyword><keyword><style  face="normal" font="default" size="100%">spatial pattern vulnerability</style></keyword><keyword><style  face="normal" font="default" size="100%">structural fire risk</style></keyword><keyword><style  face="normal" font="default" size="100%">wildfire occurrence</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/s10457-011-9423-2</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">85</style></volume><pages><style face="normal" font="default" size="100%">331 - 349</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Large-scale socioeconomic changes in recent decades have driven shifts in the structure of Spanish rural landscapes, particularly in those located at the forest-agriculture interface (FAI), as well as in their wildﬁre regime. Using data from more than 200 16 km 2 landscape plots in Spain surveyed between 1956 and 2008 through the SISPARES monitoring framework, we assessed the FAI vulnerability to wildﬁres and identiﬁed the main landscape structural factors related to an increased number of wildﬁre events. We found that the most vulnerable landscapes were those with high road density, high diversity of land uses and, most importantly, with ﬁne-grained forest-agriculture mixtures. Ignition frequency was lower in those landscapes where crops and woodlands coexisted but distributed in large and well-separated patches, and much lower where both land uses were combined within an integrated production and management system (‘‘dehesas’’). We discuss the geographical distribution patterns and temporal trends of the different FAI types during recent decades. We conclude that such approach is useful to forecast the mutual interactions between land use pattern changes and wildﬁre regime in the Mediterranean agroforestry mosaics. This would also provide an ecological base for developing a complementary, cost-effective and durable passive strategy of wildﬁre management targeted to modify the inherent FAI susceptibility to ignition events.</style></abstract><issue><style face="normal" font="default" size="100%">3</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%">Ortega, M.</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Estimation of plant diversity at landscape level: a methodological approach applied to three Spanish rural areas</style></title><secondary-title><style face="normal" font="default" size="100%">Environmental Monitoring and Assessment</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">landscape</style></keyword><keyword><style  face="normal" font="default" size="100%">Mediterranean vegetation</style></keyword><keyword><style  face="normal" font="default" size="100%">metrics</style></keyword><keyword><style  face="normal" font="default" size="100%">plant diversity</style></keyword><keyword><style  face="normal" font="default" size="100%">Remote sensing</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2004</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2004///</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.springerlink.com/index/G4606QX0065034M3.pdf</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">95</style></volume><pages><style face="normal" font="default" size="100%">97 - 116</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Approaches linking biodiversity assessment with landscape structure are necessary in the framework of sustainable rural development. The present paper describes a methodology to estimate plant diversity involving landscape structure as a proportional weight associated with different plant communities found in the landscape mosaic. The area occupied by a plant community, its patch number or its spatial distribution of patches are variables that could be expressed in gamma plant diversity of a territory. The methodology applies (1) remote sensing information, to identify land cover and land use types; (2) aspect, to discriminate composition of plant communities in each land cover type; (3) multi-scale ﬁeld techniques, to asses plant diversity; (4) afﬁnity analysis of plant community composition, to validate the stratiﬁed random sampling design and (5) the additive model that partitions gamma diversity into its alpha and beta components. The method was applied to three Spanish rural areas and was able to record 150–260 species per ha. Species richness, Shannon information index and Simpson concentration index were used to measure diversity in each area. The estimation using Shannon diversity index and the product of patch number and patch interspersion as weighting of plant community diversity was found to be the most appropriate method of measuring plant diversity at the landscape level.</style></abstract></record></records></xml>