The red gum lerp psyllid, Glycaspis brimblecombei Moore, has been introduced from Australia into several countries, mostly in the Americas and Europe. It was first discovered in Brazil in 2003 and has continued to spread there. Today, the species is a major pest in eucalypt plantations and often requires expensive control measures. Ecological modelling is used here to estimate the potential spread of G. brimblecombeii, worldwide and particularly in Brazil, based on environmental variables from 502 records of G. brimblecombei around the world. Distribution data from Australia were obtained from the literature and recent field surveys. For the first time, G. brimblecombei is recorded from Western Australia. Through the Openmodeller® program interface, 22 bioclimatic variables were used to test the efficacy of the following models: BIOCLIM, Climate Space Model, Envelope Score, Environmental Distance, GARP with best subsets (new Openmodeller implementation), GARP new Openmodeller implementation, GARP best subsets (Desktop GARP implementation), Niche Mosaic and Support Vector Machines. Among these models, Environmental Distance was the best predictor for the potential distribution of G. brimblecombei in new regions. Temperate areas appeared to be more favourable for G. brimblecombei. Regions with highest probability of occurrence in Brazil, in hierarchical order are: the southern part of the Atlantic Forest, Pampa, Caatinga and Cerrado. This modelling procedure provides a useful tool that should be incorporated in future strategies for pest management in eucalypt plantations.

experiment replicated seven times in the Coast and Cascade ranges of western Oregon, USA. This paper focuses on patterns observed 6 years following thinning. Early-seral cover was related to interactions among broad-scale variation in climate, intermediate-scale variation in insolation, and fi ne-scale neighborhood interactions. Late-seral species cover was related primarily to fi ne-scale neighborhood interactions. Furthermore, cross-scale interactions partially explained patterns of spatial correlation among neighboring subplots for early-seral species but not late-seral species. The authors hypothesize that residual patterns of spatial autocorrelation were related to unmeasured environmental variables for early-seral species and historical conditions (i.e., pre-treatment stand composition and structure) for late-seral species. Results suggest responses of understory plants to overstory density management depend on cross-scale interactions among environmental drivers, neighborhood-scale interactions, and species traits. Future demand for ecosystem services from terrestrial ecosystems from global power production scenarios to 2100: the role of forest biomass. Callesen, I.

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