Software

The Python-based Subaerial Barrier Sediment Partitioning (pySBSP) model is a framework to simulate the morphological development of an idealized barrier coast in the cross-shore domain. It is based off the original framework of the same name, which is coded in in MATLAB. pySBSP consists of two scripts; one includes a basic graphical user interface (GUI) to simplify parameter input, while the other

The Everglades Forecasting application (EverForecast) is a hydrologic and multi-species management tool. Designed to support natural resource managers, the tool simulates near future water levels across the Florida Everglades and models the likely impacts on the habitats and populations of numerous species. EverForecast is part of the Joint Ecosystem Modeling (JEM) suite of tools. The scripts in t

Bats play crucial ecological roles, and provide valuable ecosystem services, yet many populations face serious threats from various ecological disturbances. The North American Bat Monitoring Program (NABat) aims to assess status and trends of bat populations, while developing innovative and community-driven conservation solutions using its unique data and technology infrastructure. To support scal

This repository contains code to fit Spatially-Explicit Capture Recapture (SECR) Models to trapping data for Peromyscus sonoriensis (deer mice) at Point Reyes National Seashore and reproduce analyses in the following manuscript: Rose, J.P., Parsons, L.S., Kleeman, P.M., and Halstead, B.J. 2024. Effect of invasive plant removal on the density of Peromyscus sonoriensis (western deer mice) in Point

The Mississippi Alluvial Plain (MAP) is one of the most productive agricultural regions in the US and extracts more than 11 km3/year for irrigation activities. The heavy drivers of groundwater use are aquaculture and crops, which include rice, cotton, corn, and soybeans (Wilson, 2021). Consequently, groundwater-level declines in the MAP region (Clark and others, 2011) pose a substantial challenge

The inldata package is a collection of analysis-ready datasets for the U.S. Geological Survey - Idaho National Laboratory (USGS-INL) groundwater and surface-water monitoring networks, administered by the USGS-INL Project Office in cooperation with the U.S. Department of Energy. The data collected from wells and surface-water stations at the Idaho National Laboratory and surrounding areas have been

This code release contains R and JAGS code for estimating average eelgrass biomass at two lagoons (Izembek and Kinzarof) within the Izembek National Wildlife Refuge, Alaska, using data from point count surveys conducted by National Wildlife Refuge and U.S. Geological Survey (USGS) personnel. Biomass is estimated using a gamma hurdle model which models the probability of occurrence and eelgrass abu

This code repo contains three scripts used in the associated manuscript to run the analyses (01_model_prob_flight.r; 02_model_altitude_selection.r) and the simulation used to make predictions (03_simulate_prob_fly_per_altitude.r). The analysis serves to evaluate conditions that affect 1) whether geese are in flight vs. resting on the water, 2) what altitude is selected by flying geese, and 3) what

BMRGSU is software developed by the U.S. Geological Survey for Bayesian mapping of regionally-grouped, sparse, univariate, Earth-science data. This software implements an algorithm that smooths the estimated property across regions so that the deleterious effects of sparse data are mitigated. The algorithm can account for measurements that are censored, it can process multiple datasets with differ

This is scientific code released to support the paper Low Flow Period Seasonality Trend And Climate Linkages Across The United States.