Lifemapper

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Lifemapper is building a species diversity map of the world. It is similar to the SETI@Home client, in that it uses a volunteer computing client running primarily on home user's computers to correlate georeferenced biological samples with environmental models of the Earth. It is an experimental GIS, or Geographic Information System, that uses a special genetic algorithm to see if predicted rules about where a species lives match up with the species' observed natural settings. It is hoped that this technique will be able to both represent a current "map" of all organisms habitats on Earth as well as predict where organisms may possibly thrive or face extinction due to climate change and other ecological transformations.

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Bioaccumulation is the gradual accumulation of substances, such as pesticides or other chemicals, in an organism. Bioaccumulation occurs when an organism absorbs a substance at a rate faster than that at which the substance is lost or eliminated by catabolism and excretion. Thus, the longer the biological half-life of a toxic substance, the greater the risk of chronic poisoning, even if environmental levels of the toxin are not very high. Bioaccumulation, for example in fish, can be predicted by models. Hypothesis for molecular size cutoff criteria for use as bioaccumulation potential indicators are not supported by data. Biotransformation can strongly modify bioaccumulation of chemicals in an organism.

<span class="mw-page-title-main">Environmental science</span> The integrated, quantitative, and interdisciplinary approach to the study of environmental systems.

Environmental science is an interdisciplinary academic field that integrates physics, biology, and geography to the study of the environment, and the solution of environmental problems. Environmental science emerged from the fields of natural history and medicine during the Enlightenment. Today it provides an integrated, quantitative, and interdisciplinary approach to the study of environmental systems.

<span class="mw-page-title-main">Biogeography</span> Study of the distribution of species and ecosystems in geographic space and through geological time

Biogeography is the study of the distribution of species and ecosystems in geographic space and through geological time. Organisms and biological communities often vary in a regular fashion along geographic gradients of latitude, elevation, isolation and habitat area. Phytogeography is the branch of biogeography that studies the distribution of plants. Zoogeography is the branch that studies distribution of animals. Mycogeography is the branch that studies distribution of fungi, such as mushrooms.

This glossary of ecology is a list of definitions of terms and concepts in ecology and related fields. For more specific definitions from other glossaries related to ecology, see Glossary of biology, Glossary of evolutionary biology, and Glossary of environmental science.

<span class="mw-page-title-main">Folding@home</span> Distributed computing project simulating protein folding

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Americans For Medical Advancement (AFMA) is a not-for-profit, science-based, patient advocacy organization dedicated to improving healthcare through biomedical research. It was founded by Ray Greek, MD and his wife, Jean Greek, DVM.

Orbit@home was a BOINC-based volunteer computing project of the Planetary Science Institute. It uses the "Orbit Reconstruction, Simulation and Analysis" framework to optimize the search strategies that are used to find near-Earth objects.

<span class="mw-page-title-main">Rosetta@home</span> BOINC based volunteer computing project researching protein folding

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Similarity Matrix of Proteins (SIMAP) is a database of protein similarities created using volunteer computing. It is freely accessible for scientific purposes. SIMAP uses the FASTA algorithm to precalculate protein similarity, while another application uses hidden Markov models to search for protein domains. SIMAP is a joint project of the Technical University of Munich, the Helmholtz Zentrum München, and the University of Vienna.

<span class="mw-page-title-main">Evolution@Home</span> 2001 volunteer computing project

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The following outline is provided as an overview of and topical guide to ecology:

<span class="mw-page-title-main">Volunteer computing</span> System where users donate computer resources to contribute to research

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Ecological forecasting uses knowledge of physics, ecology and physiology to predict how ecological populations, communities, or ecosystems will change in the future in response to environmental factors such as climate change. The goal of the approach is to provide natural resource managers with information to anticipate and respond to short and long-term climate conditions.

<span class="mw-page-title-main">Environmental Molecular Sciences Laboratory</span>

The Environmental Molecular Sciences Laboratory is a Department of Energy, Office of Science facility at Pacific Northwest National Laboratory in Richland, Washington, United States.

<span class="mw-page-title-main">GIS and aquatic science</span>

Geographic Information Systems (GIS) has become an integral part of aquatic science and limnology. Water by its very nature is dynamic. Features associated with water are thus ever-changing. To be able to keep up with these changes, technological advancements have given scientists methods to enhance all aspects of scientific investigation, from satellite tracking of wildlife to computer mapping of habitats. Agencies like the US Geological Survey, US Fish and Wildlife Service as well as other federal and state agencies are utilizing GIS to aid in their conservation efforts.

<span class="mw-page-title-main">Species distribution modelling</span> Algorithmic prediction of the distribution of a species across geographic space

Species distribution modelling (SDM), also known as environmental(or ecological) niche modelling (ENM), habitat modelling, predictive habitat distribution modelling, and range mapping uses computer algorithms to predict the distribution of a species across geographic space and time using environmental data. The environmental data are most often climate data, but can include other variables such as soil type, water depth, and land cover. SDMs are used in several research areas in conservation biology, ecology and evolution. These models can be used to understand how environmental conditions influence the occurrence or abundance of a species, and for predictive purposes. Predictions from an SDM may be of a species’ future distribution under climate change, a species’ past distribution in order to assess evolutionary relationships, or the potential future distribution of an invasive species. Predictions of current and/or future habitat suitability can be useful for management applications.

<span class="mw-page-title-main">AquaMaps</span>

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The following outline is provided as an overview of and topical guide to natural science:

Pedometric mapping, or statistical soil mapping, is data-driven generation of soil property and class maps that is based on use of statistical methods. Its main objectives are to predict values of some soil variable at unobserved locations, and to access the uncertainty of that estimate using statistical inference i.e. statistically optimal approaches. From the application point of view, its main objective is to accurately predict response of a soil-plant ecosystem to various soil management strategies—that is, to generate maps of soil properties and soil classes that can be used for other environmental models and decision-making. It is largely based on applying geostatistics in soil science, and other statistical methods used in pedometrics.