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An important component in the fields of ecology and conservation biology is understanding the environmental conditions and geographic areas that are suitable for a given species to inhabit. A common tool in determining such areas is species distribution modeling which uses computer algorithms to determine the spatial distribution of organisms. Most commonly the correlative relationships between the organism and environmental variables are the primary consideration. The data requirements for this type of modeling consist of known presence and possibly absence locations of the species as well as the values of environmental or climatic covariates thought to define the species habitat suitability at these locations....
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Blossom is an R package with functions for making statistical comparisons with distance-function based permutation tests developed by P.W. Mielke, Jr. and colleagues at Colorado State University and for testing parameters estimated in linear models with permutation procedures developed by B. S. Cade and colleagues at the Fort Collins Science Center, U.S. Geological Survey. This implementation in R has allowed for numerous improvements not supported by the Cade and Richards Fortran implementation, including use of categorical predictor variables in most routines. Statistical procedures available include: A permutation testing version of ordinary least squares (OLS) regression that parallels the least absolute deviation...
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One of the biggest challenges facing resource managers today is not knowing exactly when, where, and how climate change effects will unfold. While models can be used to predict the types of impacts that climate change might have on a landscape, uncertainty remains surrounding factors such as how quickly changes will occur and how specific resources will respond. In order to plan for this uncertain future, managers have begun to use a tool known as scenario planning. In this approach, a subset of global climate model projections are selected that represent a range of plausible future climate scenarios for a particular area. Through a series of facilitated workshops, managers can then explore different management...
Categories: Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2015,
CASC,
Completed,
Grasslands and Plains,
Grasslands and Plains, All tags...
Landscapes,
Landscapes,
North Central,
North Central CASC,
Plants,
Plants,
Projects by Region,
Science Tools for Managers,
Wildlife and Plants,
Wildlife and Plants,
northern Great Plains,
scenario planning,
simulation modeling, Fewer tags
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The increasing availability of climate projections provides natural resource managers and scientists with a number of scenarios from which to estimate variability in hydrologic response to future climatic conditions. This presents a need for consistent and efficient conversion of climate data into model-ready format, archiving and indexing of model simulation results, and the visualization and summation of model simulation results. Furthermore, decision-makers need this information at specific locations and for specific periods of record to effectively manage their water resources. This final report summarizes a collaborative effort to help address these issues through the construction of the Monthly Water Balance...
Categories: Publication;
Types: Citation;
Tags: Consumptive Use,
Data Visualization & Tools,
Report: Report,
Rivers, Streams and Lakes,
Science Tools For Managers, All tags...
South Central CASC,
South Central CASC,
Water Availability,
Water Balance Model,
Water, Coasts and Ice, Fewer tags
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