Software

This ArcGIS Pro project template is being provided to support scientists who wish to upload data to the Conservation Efforts Database (CED). This software release contains all of the source code and instructions to use the project template, including the tools that come with it, to upload large quantities of data to the CED.

The Google Earth Engine (GEE) code was written in JavaScript which can derive water area and water level time series data of multiple lakes for specified date range. Data derived from GEE code were used in classifying winter drawdown lakes and to derive winter drawdown metrics (using python code in Jupyter Notebook) in our submitted manuscript to the Journal of Environmental Management...

This is version 1.1.0 of the Hydrologic Toolbox software.

This version of ModelMuse adds support for MODFLOW-OWHM version 2, SUTRA version 4, and additional packages in MODFLOW 6.

This repository contains the data, code for modeling and analysis, and publication markdown documents for a comparison of various methods for fitting multi-state models, including maximum likelihood and Bayesian approaches via R.

Species Distribution Models (JSDMs) allow for accounting for both environmental predictors and species dependencies within a single statistical modeling frameworks. However, it is unclear under what conditions incorporating residual species dependencies (conditional predictions) might outperform predictions made using only environmental information (marginal predictions). Here, we...

This software contains the data processing for nationwide landslide research described in Mirus et al. 2024, Parsimonious landslide-susceptibility modeling at continental scales: Application for the conterminous United States, Hawaii, Alaska, and Puerto Rico. To perform geospatial processing over the large geographic area, each 1/3 arc-second (10-meter) Digital Elevation Model (DEM) is...

The purpose of this document is to demonstrate how data collected by the Pacific Northwest Bat Hub, a member of the North American Bat Monitoring Program (NABat), may be used to make inferences about species occurrence. As motivation, we consider occurrence data collected on Silver-haired bats (Lasionycteris noctivagans, LANO) in Oregon and Washington in 2019. In particular, we are...

This ArcGIS Pro project template is being provided to the public in support of scientists who wish to upload data to the Conservation Efforts Database (CED).

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 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...

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...