Eastern Ecological Science Center
Software
Decision-Support Tool to Estimate SARS-CoV-2 Human-to-bat Transmission Risk
Decision-Support Tool to Estimate SARS-CoV-2 Human-to-bat Transmission Risk
Utility and Vulnerability Ranking Programs for Terrestrial Vertebrates
To assist decision makers in risk assessments, two sets of indices have been developed to rank terrestrial vertebrates for their utility in biomonitoring and susceptibility.
Bandit Software
Bandit is the latest in a series of desktop applications aimed at helping bird banders manage and submit their data for banded birds. We have tried to make the process of maintaining banding records as simple as possible. Bandit was created by the Bird Banding Laboratory (BBL) at the USGS Patuxent Wildlife Research Center, Laurel, MD.
Contaminant Exposure and Effects-Terrestrial Vertebrates database (CEE-TV)
The Contaminant Exposure and Effects-Terrestrial Vertebrates database (CEE-TV) contains contaminant exposure and effects information for terrestrial vertebrates (birds, mammals, amphibians and reptiles) that reside in estuarine and coastal habitats along the Atlantic, Gulf and Pacific Coasts including Alaska and Hawaii and in the Great Lakes Region.
CEETV FAQs
Frequently Asked Questions for the Contaminant Exposure and Effects-Terrestrial Vertebrates (CEE-TV) Database
Ecosheds.org
LSC Conte Anadrmous Fish Laboratory is currently involved in https://ecosheds.org.
fatalityCMR
Capture-recapture software to correct raw counts of wildlife fatalities using trial experiments for carcass detecition probability and persistence time.
Evolutionary Ecology Software
The programs perform input file formation, distribution visualization, individual-based dynamic population simulation, pedigree accuracy assessment, effective population si
SPECRICH2
Estimates the total number of species from species presence-absence data on multiple sample sites or occasions using model M(h) from program CAPTURE.
RDSURVIV
Computes estimates of survival and capture probability using capture-recapture data with "robust-design" models and recoveries.
CENTROID
Tests the null hypothesis that two samples of recoveries belong to the same bivariate distribution.