Mapping community change in modified landscapes

We convert point observations of more than 28,000 beetles from 851 species into a continuous biodiversity surface representing the similarity of ecological communities relative to that of pristine forest, effectively integrating on-the-ground biodiversity data with remotely sensed landcover data to predict the magnitude of community change in a modified landscape. Ewers, R.M.; Kapos, V.; Coomes,…

Impacts of introduced deer and extinct moa on New Zealand ecosystems

An attempt to describe and compare the impacts of the invasive red deer in New Zealand with the extinct species of Moa, large flightless birds, which appeared to occupy significantly overlapping habitat niches to present day deer. Forsyth, D.M.; Wilmshurst, J.M.; Allen, R.B.; Coomes, D.A. 2009 PDF

Testing the Metabolic Scaling Theory of tree growth

Metabolic Scaling Theory (MST) predicts a ‘universal scaling law’ of tree growth. Proponents claim that MST has strong empirical support: the size-dependent growth curves of 40 out of 45 species in a Costa Rican forest have scaling exponents indistinguishable from the MST prediction. This paper shows the Costa Rican data has been misinterpreted. Using Standardized…

A greater range of shade-tolerance niches in nutrient-rich forests: an explanation for positive richness–productivity relationships?

Investigating if a wider range of growth rates and shade tolerances are found on nutrient-rich soils, because such soils not only support fast-growing species with high metabolic rates, but also species capable of tolerating the very deep shade cast by forest canopies growing where nutrients are plentiful. Coomes, D.A.; Kunstler, G.; Canham, C.D.; Wright, E….

Spatially explicit models to analyze forest loss and fragmentation between 1976 and 2020 in southern Chile

Identification of the geophysical variables (“pattern drivers”) that explain the spatial patterns of forest loss and fragmentation between 1976 and 1999 using both a GIS-based land-use change model (GEOMOD) and spatially explicit logistic regression. Includes projections where and how much forest fragmentation will occur in the future by extrapolation of the current rate of deforestation…