Species Distribution Modeling Active
A requirement for managing a species, be it a common native species, a species of conservation concern, or an invasive species, is having some information on its distribution and potential drivers of distribution. Branch scientists have been tackling the question of where these types of species are and where they might be in the future.
Focus species are as varied as the invasive tamarisk, Russian olive, Africanized honey bee and nutria to the federally threatened Lesser Prairie chicken and others. These and other species are modeled at a variety of spatial scales, from park or wildlife refuge to global levels. Models use various predictor layers that can include current and future climate layers (near- and long-term projections), remote-sensing derivatives (such as MODIS phenology metrics), land cover, topography, and anthropogenic features.
Resource for Advanced Modeling (RAM) - Principal Investigator - Catherine Jarnevich
Branch scientists have developed the Resource for Advanced Modeling (RAM), a modeling facility for collaborative research both within the U.S. Geological Survey (USGS) and with the wider research community. The facility provides a collaborative working environment for up to 20 scientists from within the USGS and the wider research community. There are networked, wireless computing facilities with the ability to run and test various models (e.g., Maxent, Boosted Regression Trees, Logistic Regression, MARS, Random Forest) for a variety of spatial scales (county, state, region, nation, or global). These techniques use predictor layers from MODIS time-series data as well as current and future climate layers (near- and long-term projections). The main purpose of the RAM is to bring together remote sensing and climate forecasting experts, habitat modelers, field ecologists, and land managers in a synergistic environment.
Developing Ecological Forecasting Models for Invasive Species - Principal Investigator - Catherine Jarnevich
Forecasts of where species might be and what impacts they may have are necessary for management of invasive species. Researchers at FORT are using various approaches to provided needed information to resource managers to combat invasive plants, animals, and disease organisms.
Below are other science projects associated with this project.
Below are publications associated with this project.
Improving national-scale invasion maps: Tamarisk in the western United States
Widespread plant species: Natives versus aliens in our changing world
Balancing energy development and conservation: A method utilizing species distribution models
Improving and integrating data on invasive species collected by citizen scientists
From points to forecasts: Predicting invasive species habitat suitability in the near term
Teaching citizen science skills online: Implications for invasive species training programs
Near term climate projections for invasive species distributions
Temporal management of invasive species
- Overview
A requirement for managing a species, be it a common native species, a species of conservation concern, or an invasive species, is having some information on its distribution and potential drivers of distribution. Branch scientists have been tackling the question of where these types of species are and where they might be in the future.
Focus species are as varied as the invasive tamarisk, Russian olive, Africanized honey bee and nutria to the federally threatened Lesser Prairie chicken and others. These and other species are modeled at a variety of spatial scales, from park or wildlife refuge to global levels. Models use various predictor layers that can include current and future climate layers (near- and long-term projections), remote-sensing derivatives (such as MODIS phenology metrics), land cover, topography, and anthropogenic features.
Sources/Usage: Some content may have restrictions. View Media DetailsResource for Advanced Modeling (RAM) - Principal Investigator - Catherine Jarnevich
Branch scientists have developed the Resource for Advanced Modeling (RAM), a modeling facility for collaborative research both within the U.S. Geological Survey (USGS) and with the wider research community. The facility provides a collaborative working environment for up to 20 scientists from within the USGS and the wider research community. There are networked, wireless computing facilities with the ability to run and test various models (e.g., Maxent, Boosted Regression Trees, Logistic Regression, MARS, Random Forest) for a variety of spatial scales (county, state, region, nation, or global). These techniques use predictor layers from MODIS time-series data as well as current and future climate layers (near- and long-term projections). The main purpose of the RAM is to bring together remote sensing and climate forecasting experts, habitat modelers, field ecologists, and land managers in a synergistic environment.
Developing Ecological Forecasting Models for Invasive Species - Principal Investigator - Catherine Jarnevich
Forecasts of where species might be and what impacts they may have are necessary for management of invasive species. Researchers at FORT are using various approaches to provided needed information to resource managers to combat invasive plants, animals, and disease organisms.
- Science
Below are other science projects associated with this project.
- Publications
Below are publications associated with this project.
Filter Total Items: 20Improving national-scale invasion maps: Tamarisk in the western United States
New invasions, better field data, and novel spatial-modeling techniques often drive the need to revisit previous maps and models of invasive species. Such is the case with the at least 10 species of Tamarix, which are invading riparian systems in the western United States and expanding their range throughout North America. In 2006, we developed a National Tamarisk Map by using a compilation of preAuthorsCatherine S. Jarnevich, P. Evangelista, Thomas J. Stohlgren, Jeffrey T. MorisetteWidespread plant species: Natives versus aliens in our changing world
Estimates of the level of invasion for a region are traditionally based on relative numbers of native and alien species. However, alien species differ dramatically in the size of their invasive ranges. Here we present the first study to quantify the level of invasion for several regions of the world in terms of the most widely distributed plant species (natives vs. aliens). Aliens accounted for 51AuthorsT.J. Stohlgren, P. Pysek, J. Kartesz, M. Nishino, A. Pauchard, M. Winter, J. Pino, D.M. Richardson, J.R.U. Wilson, B.R. Murray, M.L. Phillips, L. Ming-yang, L. Celesti-Grapow, X. FontBalancing energy development and conservation: A method utilizing species distribution models
Alternative energy development is increasing, potentially leading to negative impacts on wildlife populations already stressed by other factors. Resource managers require a scientifically based methodology to balance energy development and species conservation, so we investigated modeling habitat suitability using Maximum Entropy to develop maps that could be used with other information to help siAuthorsCatherine S. Jarnevich, M.K. LaubhanImproving and integrating data on invasive species collected by citizen scientists
Limited resources make it difficult to effectively document, monitor, and control invasive species across large areas, resulting in large gaps in our knowledge of current and future invasion patterns. We surveyed 128 citizen science program coordinators and interviewed 15 of them to evaluate their potential role in filling these gaps. Many programs collect data on invasive species and are willingFrom points to forecasts: Predicting invasive species habitat suitability in the near term
We used near-term climate scenarios for the continental United States, to model 12 invasive plants species. We created three potential habitat suitability models for each species using maximum entropy modeling: (1) current; (2) 2020; and (3) 2035. Area under the curve values for the models ranged from 0.92 to 0.70, with 10 of the 12 being above 0.83 suggesting strong and predictable species-enviroAuthorsTracy R. Holcombe, Thomas J. Stohlgren, Catherine S. JarnevichTeaching citizen science skills online: Implications for invasive species training programs
Citizen science programs are emerging as an efficient way to increase data collection and help monitor invasive species. Effective invasive species monitoring requires rigid data quality assurances if expensive control efforts are to be guided by volunteer data. To achieve data quality, effective online training is needed to improve field skills and reach large numbers of remote sentinel volunteerAuthorsG. Newman, A. Crall, M. Laituri, J. Graham, T. Stohlgren, J.C. Moore, K. Kodrich, K.A. HolfelderNear term climate projections for invasive species distributions
Climate change and invasive species pose important conservation issues separately, and should be examined together. We used existing long term climate datasets for the US to project potential climate change into the future at a finer spatial and temporal resolution than the climate change scenarios generally available. These fine scale projections, along with new species distribution modeling techAuthorsC. S. Jarnevich, T.J. StohlgrenTemporal management of invasive species
No abstract available.