Nowadays, ecologists worldwide recognize the use of spatial analysis as essential.
However, because of the fast-growing range of methods available, even an expert might …

Designed to help students understand the multiple levels at which human populations
respond to their surroundings, this essential text offers the most complete discussion of …

O próprio autor teve a chance de descobrir a urgência de uma abordagem mais ampla
quando pesquisava entre 1964 e 1974; nesse período, percebeu a falta de uma …

The presence of positive spatial autocorrelation in ecological data causes parametric
statistical tests to give more apparently significant results than the data justify, which is a …

A finescale model of blowing snow is used to simulate the characteristics of snow cover in a
low-Arctic catchment with moderate topography and partial shrub cover. The influence of …

The lack of a clear understanding of the factors governing the often-great variation of
species numbers over entire landscapes confounds attempts to manage biodiversity. We …

An analysis using an artificial neural network model suggests that the tropical forests of north
Queensland are highly sensitive to climate change within the range that is likely to occur in …

The conservation of Earth's forest ecosystems is one of the great environmental challenges
facing humanity in the 21st century. All of Earth's ecosystems now face the spectre of the …

Soil conservation (SC) plays a vital role in preventing soil erosion and ensuring ecological
security. While current research on SC primarily focuses on historical spatiotemporal …

A feedforward artificial neural network, coupled with a regional GIS (geographic information
system), is described that is being used to assess the potential impacts of climate change on …