This paper presents innovative ways to relate survey data to GIS maps, thereby making the connection of people and place more accessible for the research community. Based on data from rural areas in the Brazilian Amazon, we describe a successful effort to sample households while linking farm-level data to property boundaries, these boundaries generated from subjects’ interpretations of satellite images on a computer screen. The sampling framework is based on legislation requiring farmers to report to a government agency in a four-week period, and the farmers’ input allows for a more efficient means of identifying property boundaries as compared to GPS.
Net primary productivity and seasonality of temperature and precipitation are predictors of the species richness of the Damselflies in the Amazon
Net primary productivity and seasonality of temperature and precipitation are predictors of the species richness of the Damselflies in the Amazon
Several hypotheses have been proposed to explain the mechanisms that generate temporal and spatial species richness patterns. We tested four common hypotheses (water, energy, climatic heterogeneity and net primary productivity) to evaluate which factors best...