01561nas a2200169   4500008004100000022001400041245011300055210006900168300001600237490000800253520096300261653001401224100001601238700001901254700001801273856010001291       2008                        eng d  a0378-112700aAbiotic factors related to the incidence of the Austrocedrus chilensis disease syndrome at a landscape scale0 aAbiotic factors related to the incidence of the Austrocedrus chi  a1087 - 10950 v2563 aIn this paper, the incidence of the A. chilensis disease syndrome in the "16 de Octubre" Valley (Chubut, Argentinean Patagonia) was related to landscape climatic, topographic and edaphic attributes, using remote sensing, geographic information systems and statistical methods. A strong relationship between the occurrence and incidence of the A. chilensis disease syndrome and site variables related to poor soil drainage was found. Non-allophanized soils with fine textures on flat and wavy soil phases, geomorphologies associated to alluvial processes, and low elevations and gentle slopes were positively related to the incidence of the disease. These relationships at a landscape scale agree with previous studies carried out at the stand level. A logistic predictive model of diseased occurrence was developed for the study area considering aspect, elevation, slope, mean annual precipitation and soil phase (classified according to predominant slopes).10aPatagonia1 aLa Manna, L1 aMatteucci, S D1 aKitzberger, T  uhttp://www.sciencedirect.com/science/article/B6T6X-4T4JDN7-1/2/6ec5c810e304a848ea7deb23b39e897700563nas a2200133   4500008004100000245011900041210006900160300001200229490000700241100001600248700001700264700001200281856013600293       2008                        eng d00aSeedling recruitment of Austrocedrus chilensis in relation to cattle use, microsite environment and forest disease0 aSeedling recruitment of Austrocedrus chilensis in relation to ca  a27–410 v181 aLa Manna, L1 aCollantes, M1 aBava, J  uhttps://forestphytophthora.org/references/seedling-recruitment-austrocedrus-chilensis-relation-cattle-use-microsite-environment-and02112nas a2200157   4500008004100000022001400041245008700055210006900142260003300211300000900244520160200253100001601855700001701871700001801888856004801906       2011                        eng d  a1612-466900aModelling Phytophthora disease risk in Austrocedrus chilensis forests of Patagonia0 aModelling Phytophthora disease risk in Austrocedrus chilensis fo  bSpringer Berlin / Heidelberg  a1-153 a<p><em>Austrocedrus chilensis</em> forests suffer from a disease caused by <em>Phytophthora austrocedrae</em>, which is found often in wet soils. We applied three widely used modelling techniques, with different data requirements, to model disease potential distribution under current environmental conditions: Mahalanobis distance, Maxent and Logistic regression. Each model was built using field data of health condition and landscape layers of environmental conditions (distance to streams, slope, aspect, elevation, mean annual precipitation and soil pH NaF). We compared model predictions by area under the receiver operating characteristic curve and Kappa statistics. A reasonable ability to predict observed disease distribution was found for each of the three modelling techniques. However, Maxent and Logistic regression presented the best predictive performance, with significant differences with respect to the Mahalanobis distance model. Our results suggested that if good absence data are available, Logistic regression should be used in order to better discriminate sites with high risk of disease. On the other hand, if absence data are not available or doubtful, Maxent could be a very good option. The three models predicted that around 50% (49–56%) of the currently asymptomatic forests are located on sites at risk of disease according to abiotic factors. Most of these asymptomatic forests surround the current diseased patches, at distances lower than 100 m from diseased patches. Management considerations and the scope of future studies were discussed in this article.</p>1 aLa Manna, L1 aMatteucci, S1 aKitzberger, T  uhttp://dx.doi.org/10.1007/s10342-011-0503-7