Christine Dumoulin, PhD (Former Employee)
Science and Products
When are environmental DNA early detections of invasive species actionable? When are environmental DNA early detections of invasive species actionable?
Environmental DNA (eDNA) sampling provides sensitive early detection capabilities for recently introduced taxa. However, natural resource managers struggle with how to integrate eDNA results into an early detection rapid response program because positive eDNA detections are not always indicative of an eventual infestation. We used a structured decision making (SDM) framework to evaluate
Authors
Adam Sepulveda, Christine E. Dumoulin, Denise L. Blanchette, John Mcphedran, Colin Holme, Nathan Whalen, Margaret Hunter, Christopher M. Merkes, Catherine A. Richter, Matthew Neilson, Wesley M. Daniel, Devin Nicole Jones-Slobodian, David R. Smith
Using structured decision making to evaluate potential management responses to detection of dreissenid mussel (Dreissena spp.) environmental DNA Using structured decision making to evaluate potential management responses to detection of dreissenid mussel (Dreissena spp.) environmental DNA
Environmental (e)DNA tools are sensitive and cost-effective for early detection of invasive species. However, the uncertainty associated with the interpretation of positive eDNA detections makes it challenging to determine appropriate natural resource management responses. Multiple sources of error can give rise to positive detections of eDNA in a sample when individuals of that species...
Authors
Adam Sepulveda, David R. Smith, Katherine M. O'Donnell, Nathan Owens, Brittany White, Cathy A. Richter, Christopher M. Merkes, Skylar Wolf, Mike Rau, Matthew Neilson, Wesley M. Daniel, Christine E. Dumoulin, Margaret Hunter
Non-USGS Publications**
Dumoulin, C. E., & Armsworth, P. R. (2022). Environmental stochasticity increases extinction risk to a greater degree in pollination specialists than in generalists. Oikos, 2022(11), e09214.
Dumoulin, C. E., Macmillan, T., Stoneman, R., & Armsworth, P. R. (2014). Locating human resources to reduce the cost of managing networks of protected areas. Conservation Letters, 7(6), 553-560.
**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.
EESC Makes an Impact: Reducing Management Costs and Increasing Efficiency
Decision analysis is widely used in business applications to improve cost saving and increase efficiency under uncertainty. Scientists at the U.S. Geological Survey Eastern Ecological Science Center (EESC) include world-renowned experts who use data, mathematics, statistics, and computer science to help frame and solve decision problems to support U.S. national security, public health, wildlife...
Rio Grande chub and sucker habitat suitability in the United States and Mexico, 2012-2099 Rio Grande chub and sucker habitat suitability in the United States and Mexico, 2012-2099
Scripts and data that make up the habitat suitability analysis used in the Rio Grande Chub and Sucker Species Status Assessment (SSA). The scripts fall into two categories (as reflected in the src subdirectories): 1. Data processing to create Maxent inputs 2. Analysis and visualization of Maxent outputs Datasets include: 1. Data used to create habitat suitability predictors, in the...
Predicted consequences of detecting Najas minor environmental DNA in Sebago Lake Maine, 2022 Predicted consequences of detecting Najas minor environmental DNA in Sebago Lake Maine, 2022
U.S. Geological Survey decision analysts and technical experts worked with managers and stakeholders to predict the consequences of alternative actions following environmental DNA detections of invasive Najas minor eDNA in Sebago Lake, Maine, USA. This dataset provides the consequence and model inputs for each of the alternative actions under different levels of uncertainty.
ezMCDA: An Interactive Dashboard for Multi-Criteria Decision Analysis ezMCDA: An Interactive Dashboard for Multi-Criteria Decision Analysis
ezMCDA is a user-friendly software to conduct Multicriteria Decision Analysis (MCDA) while considering uncertainty and nonlinear utility functions.
Science and Products
When are environmental DNA early detections of invasive species actionable? When are environmental DNA early detections of invasive species actionable?
Environmental DNA (eDNA) sampling provides sensitive early detection capabilities for recently introduced taxa. However, natural resource managers struggle with how to integrate eDNA results into an early detection rapid response program because positive eDNA detections are not always indicative of an eventual infestation. We used a structured decision making (SDM) framework to evaluate
Authors
Adam Sepulveda, Christine E. Dumoulin, Denise L. Blanchette, John Mcphedran, Colin Holme, Nathan Whalen, Margaret Hunter, Christopher M. Merkes, Catherine A. Richter, Matthew Neilson, Wesley M. Daniel, Devin Nicole Jones-Slobodian, David R. Smith
Using structured decision making to evaluate potential management responses to detection of dreissenid mussel (Dreissena spp.) environmental DNA Using structured decision making to evaluate potential management responses to detection of dreissenid mussel (Dreissena spp.) environmental DNA
Environmental (e)DNA tools are sensitive and cost-effective for early detection of invasive species. However, the uncertainty associated with the interpretation of positive eDNA detections makes it challenging to determine appropriate natural resource management responses. Multiple sources of error can give rise to positive detections of eDNA in a sample when individuals of that species...
Authors
Adam Sepulveda, David R. Smith, Katherine M. O'Donnell, Nathan Owens, Brittany White, Cathy A. Richter, Christopher M. Merkes, Skylar Wolf, Mike Rau, Matthew Neilson, Wesley M. Daniel, Christine E. Dumoulin, Margaret Hunter
Non-USGS Publications**
Dumoulin, C. E., & Armsworth, P. R. (2022). Environmental stochasticity increases extinction risk to a greater degree in pollination specialists than in generalists. Oikos, 2022(11), e09214.
Dumoulin, C. E., Macmillan, T., Stoneman, R., & Armsworth, P. R. (2014). Locating human resources to reduce the cost of managing networks of protected areas. Conservation Letters, 7(6), 553-560.
**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.
EESC Makes an Impact: Reducing Management Costs and Increasing Efficiency
Decision analysis is widely used in business applications to improve cost saving and increase efficiency under uncertainty. Scientists at the U.S. Geological Survey Eastern Ecological Science Center (EESC) include world-renowned experts who use data, mathematics, statistics, and computer science to help frame and solve decision problems to support U.S. national security, public health, wildlife...
Rio Grande chub and sucker habitat suitability in the United States and Mexico, 2012-2099 Rio Grande chub and sucker habitat suitability in the United States and Mexico, 2012-2099
Scripts and data that make up the habitat suitability analysis used in the Rio Grande Chub and Sucker Species Status Assessment (SSA). The scripts fall into two categories (as reflected in the src subdirectories): 1. Data processing to create Maxent inputs 2. Analysis and visualization of Maxent outputs Datasets include: 1. Data used to create habitat suitability predictors, in the...
Predicted consequences of detecting Najas minor environmental DNA in Sebago Lake Maine, 2022 Predicted consequences of detecting Najas minor environmental DNA in Sebago Lake Maine, 2022
U.S. Geological Survey decision analysts and technical experts worked with managers and stakeholders to predict the consequences of alternative actions following environmental DNA detections of invasive Najas minor eDNA in Sebago Lake, Maine, USA. This dataset provides the consequence and model inputs for each of the alternative actions under different levels of uncertainty.
ezMCDA: An Interactive Dashboard for Multi-Criteria Decision Analysis ezMCDA: An Interactive Dashboard for Multi-Criteria Decision Analysis
ezMCDA is a user-friendly software to conduct Multicriteria Decision Analysis (MCDA) while considering uncertainty and nonlinear utility functions.