Spatial prediction of caterpillar (Ormiscodes) defoliation in Patagonian Nothofagus forests

In the temperate forests of the southern Andes, southern beech species (Nothofagus), the dominant tree species of the region, experience severe defoliation caused by caterpillars of the Ormiscodes genus (Lepidoptera: Saturniidae). Despite the recent increase in defoliation frequency in some areas, there is no quantitative information on the spatial extent and dynamics of these outbreaks. This study examines the spatial patterns of O. amphimone outbreaks in relation to landscape heterogeneity. We mapped defoliation events caused by O. amphimone in northern (ca. 40–41°S) and southern Patagonian (ca. 49°S) Nothofagus forests from Landsat imagery and analyzed their spatial associations with vegetation cover type, topography (elevation, slope angle, aspect) and mean annual precipitation using overlay analyses. We used these data and relationships to develop a logistic regression model in order to generate maps of predicted susceptibility to defoliation by O. amphimone for each study area. Forests of N. pumilio are typically more susceptible to O. amphimone outbreaks than lower elevation forests of other Nothofagus species (N. dombeyi and N. antarctica). Stands located at intermediate elevations and on gentle slopes (<15°) are also more susceptible to defoliation than higher and lower elevation stands located on high angle slopes. Stands in areas with intermediate to high precipitation, relative to the distribution of Nothofagus along the precipitation gradient, are more susceptible to O. amphimone attack than are drier areas. Our study represents the first mapping and spatial analysis of insect defoliator outbreaks in Nothofagus forests in South America.

[1]  H. Mark,et al.  マイマイガ(Lymantria dispar)によるマツ‐コナラ混交林における林木枯死 , 2007 .

[2]  T. T. Veblen,et al.  LANDSCAPE INFLUENCES ON OCCURRENCE AND SPREAD OF WILDFIRES IN PATAGONIAN FORESTS AND SHRUBLANDS , 2005 .

[3]  Antoine Guisan,et al.  Predictive habitat distribution models in ecology , 2000 .

[4]  E. Chaneton,et al.  Interannual changes in folivory and bird insectivory along a natural productivity gradient in northern Patagonian forests , 2004 .

[5]  Angela Lee,et al.  Perspectives on … Environmental Systems Research Institute, Inc , 1997 .

[6]  Juan Paritsis,et al.  Dendroecological analysis of defoliator outbreaks on Nothofagus pumilio and their relation to climate variability in the Patagonian Andes , 2011 .

[7]  P. Bauerle,et al.  Defoliators of roble (Nothofagus obliqua), raulí (N. alpina), coigüe (N. dombeyi) and lenga (N. pumilio). , 1997 .

[8]  Victor C. Mastro,et al.  Incorporating anthropogenic variables into a species distribution model to map gypsy moth risk , 2008 .

[9]  Richard A. Fleming,et al.  Landscape-scale spatial distribution of spruce budworm defoliation in relation to bioclimatic conditions , 2005 .

[10]  C. Humphries The Ecology and Biogeography of Nothofagus forests , 1997, Biodiversity & Conservation.

[11]  Donald G. Leckie,et al.  Sensor band selection for detecting current defoliation caused by the spruce budworm , 1988 .

[12]  S. T. Im,et al.  Siberian silkmoth outbreak pattern analysis based on SPOT VEGETATION data , 2009 .

[13]  R. C. Ll.,et al.  ZOOFITOFAGOS EN NOTHOFAGUS CHILENOS , 1987 .

[14]  T. Kitzberger,et al.  Assessing dendroecological methods to reconstruct defoliator outbreaks on Nothofagus pumilio in northwestern Patagonia, Argentina , 2009 .

[15]  T. T. Veblen,et al.  Temperature and foliage quality affect performance of the outbreak defoliator Ormiscodes amphimone (F.) (Lepidoptera: Saturniidae) in northwestern Patagonia, Argentina , 2010 .

[16]  Julia A. Jones,et al.  Plant-pest interactions in time and space: A Douglas-fir bark beetle outbreak as a case study , 1999, Landscape Ecology.

[17]  Joel D. McMillin,et al.  Bark beetle-caused mortality in a drought-affected ponderosa pine landscape in Arizona, USA , 2009 .

[18]  John Bell,et al.  A review of methods for the assessment of prediction errors in conservation presence/absence models , 1997, Environmental Conservation.

[19]  D. Watts,et al.  Identifying Gypsy Moth Defoliation in Ohio Using Landsat Data , 2004 .

[20]  D. Kulakowski,et al.  INTERACTIONS BETWEEN FIRE AND SPRUCE BEETLES IN A SUBALPINE ROCKY MOUNTAIN FOREST LANDSCAPE , 2003 .

[21]  Thomas E. Dilts,et al.  A Weights-of-Evidence Model for Mapping the Probability of Fire Occurrence in Lincoln County, Nevada , 2009 .

[22]  S. Menard Applied Logistic Regression Analysis , 1996 .

[23]  S. Stafford,et al.  Multivariate Statistics for Wildlife and Ecology Research , 2000, Springer New York.

[24]  C. Quintero,et al.  New host-plant records for the defoliator Ormiscodes amphimone (Fabricius) (Lepidoptera: Saturniidae). , 2010, Neotropical entomology.

[25]  Robert A. Stine Comment: Classifier Technology and the Illusion of Progress , 2006 .

[26]  T. Whitham,et al.  ASSOCIATIONAL SUSCEPTIBILITY OF COTTONWOOD TO A BOX ELDER HERBIVORE , 2000 .

[27]  James E. Johnson,et al.  Prediction of stand susceptibility and gypsy moth defoliation in Coastal Plain mixed pine-hardwoods , 2001 .

[28]  Emmanuel Lesaffre,et al.  Collinearity in generalized linear regression , 1993 .

[29]  F. Chapin,et al.  Human Impacts on the Fire Regime of Interior Alaska: Interactions among Fuels, Ignition Sources, and Fire Suppression , 2006, Ecosystems.

[30]  David W. Hosmer,et al.  Applied Logistic Regression , 1991 .

[31]  Robert S. Hill,et al.  The ecology and biogeography of Nothofagus forests , 1998 .

[32]  A. Wood,et al.  Towards the systematic simplification of mechanistic models , 2006 .

[33]  Rosemary L. Sherriff,et al.  A Spatially-Explicit Reconstruction of Historical Fire Occurrence in the Ponderosa Pine Zone of the Colorado Front Range , 2007, Ecosystems.

[34]  Thomas Kitzberger,et al.  The historical range of variability of fires in the Andean-Patagonian Nothofagus forest region. , 2008 .

[35]  Steen Magnussen,et al.  Spatial prediction of the onset of spruce budworm defoliation , 2004 .

[36]  D. Hertel,et al.  Above- and below-ground response by Nothofagus pumilio to climatic conditions at the transition from the steppe–forest boundary to the alpine treeline in southern Patagonia, Argentina , 2008 .

[37]  M. Eisenbies,et al.  Tree Mortality in Mixed Pine-Hardwood Stands Defoliated by the European Gypsy Moth (Lymantria dispar L.) , 2007 .

[38]  Christof Bigler,et al.  MULTIPLE DISTURBANCE INTERACTIONS AND DROUGHT INFLUENCE FIRE SEVERITY IN ROCKY MOUNTAIN SUBALPINE FORESTS , 2005 .

[39]  B. Luckman,et al.  Spatio‐temporal rainfall patterns in Southern South America , 2009 .

[40]  David A. Elston,et al.  Empirical models for the spatial distribution of wildlife , 1993 .

[41]  D. Rogers,et al.  The effects of species’ range sizes on the accuracy of distribution models: ecological phenomenon or statistical artefact? , 2004 .