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A practical guide to MaxEnt for modeling species’ distributions: what it does, and why inputs and settings matter
We provide a detailed explanation of how MaxEnt works and a prospectus on modeling options to enable users to make informed decisions when preparing data, choosing settings and interpreting output. Expand
Forest models defined by field measurements : Estimation, error analysis and dynamics
A spatial and mechanistic model is developed for the dynamics of transition oak—northern hardwoods forests in northeastern North America. The purpose of the model is to extrapolate from measurable… Expand
A wavelet transform method to merge Landsat TM and SPOT panchromatic data
Abstract To take advantage of the high spectral resolution of Landsat TM images and the high spatial resolution of SPOT panchromatic images (SPOT PAN), we present a wavelet transform method to merge… Expand
Juvenile Tree Survivorship as a Component of Shade Tolerance
With a view toward understanding species-specific differences in juvenile tree mortality and the community-level implications of these differences, we characterized juvenile survivorship of 10… Expand
SEEDLING RECRUITMENT IN FORESTS: CALIBRATING MODELS TO PREDICT PATTERNS OF TREE SEEDLING DISPERSION'
Recruitment, the addition of new individuals into a community, is an im- portant factor that can substantially affect community composition and dynamics. We present a method for calibrating spatial… Expand
Forest models defined by field measurements: I. The design of a northeastern forest simulator
We introduce a new spatially explicit model of forest dynamics. The model is constructed from submodels that predict an individual tree's growth, survival, dispersal, and recruitment, and submodels...
Building statistical models to analyze species distributions.
- A. Latimer, Shan-Huah Wu, A. Gelfand, J. Silander
- Computer Science, Medicine
- Ecological applications : a publication of the…
- 1 February 2006
We show here how to build statistical models that can handle these features of spatial prediction and provide richer, more powerful inference about species niche relations, distributions, and the effects of human disturbance. Expand
Sapling growth as a function of resources in a north temperate forest
Radial and height growth are characterized for saplings of 10 dominant tree species in a transition oak–northern hardwoods forest in southern New England. Growth of saplings in the field is regressed… Expand
The Invasion Ecology of Japanese Barberry (Berberis thunbergii) in the New England Landscape
Japanese barberry (Berberis thunbergii) has been characterized as one of the most widely known and planted exotic shrubs in the United States. It was first introduced to the US in the late 1800s. By… Expand
Hierarchical models facilitate spatial analysis of large data sets: a case study on invasive plant species in the northeastern United States.
- A. Latimer, S. Banerjee, H. Sang, E. S. Mosher, J. Silander
- Computer Science, Medicine
- Ecology letters
- 1 February 2009
We use a novel Bayesian hierarchical statistical approach, 'spatial predictive process' modelling, to predict the distribution of a major invasive plant species, Celastrus orbiculatus, in the northeastern USA in a spatially explicit multivariate model. Expand