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A hydrological modeling framework for lake water level drawdown management A hydrological modeling framework for lake water level drawdown management
This model was written in python3 which can simulate water level fluctuations under different drawdown operation rules. We submitted the manuscript about this model to the Journal of Environmental Management. The model file was saved in directory “models/WDLake”, and you can reproduce the results by running the jupyter notebooks in “notebooks/”.
Grizzly Bear Space Use in the US Northern Rocky Mountains (ver. 3.0, July 2024) Grizzly Bear Space Use in the US Northern Rocky Mountains (ver. 3.0, July 2024)
Over the past two centuries, persecution and habitat loss caused grizzly bears (Ursus arctos) to decline from a population of approximately 50,000 individuals to only 4 fragmented populations within the continental United States. In recent decades, these populations have increased and expanded in size and range due to collaborative conservation efforts and protections under the...
Modeling widespread declines in walleye recruitment following zebra mussel invasion in Minnesota lakes Modeling widespread declines in walleye recruitment following zebra mussel invasion in Minnesota lakes
Invasive zebra mussels (Dreissena polymorpha) alter lake ecosystems and can negatively affect first-year growth of walleye (Sander vitreus), potentially lowering walleye recruitment success. We quantified walleye recruitment responses to zebra mussel invasion in Minnesota lakes using data from 1,438 electrofishing surveys across 348 lakes collected between 1993 and 2019 to measure...
Accounting for spatio-temporal variation in catchability in joint species distribution models Accounting for spatio-temporal variation in catchability in joint species distribution models
1: Estimating relative abundance is critical for informing conservation and management efforts and for making inferences about the effects of environmental change on populations. Freshwater fisheries span large geographic regions, occupy diverse habitats, and consist of varying species assemblages. Monitoring schemes used to sample these diverse populations often result in populations...
Code for: Leveraging local efforts to solve regional-scale ecological questions: using multiple sources of data and a multi-species occupancy model to explore bee-plant interactions Code for: Leveraging local efforts to solve regional-scale ecological questions: using multiple sources of data and a multi-species occupancy model to explore bee-plant interactions
This repository contains all of the scripts to reproduce the analyses, figures, and tables associated with the manuscript Lee et al. in prep. The scripts are organized in the order in which they should be run. Briefly, the files do the following: format the data, fit the model, create the figures, and create the tables.
Brook Stickleback occurrence and environmental data 2020-2021 Brook Stickleback occurrence and environmental data 2020-2021
Brook Stickleback Culaea inconstans is an aquatic invasive species in Wyoming that may pose a risk to native biodiversity. Our aim was to evaluate the current risk Brook Stickleback poses to native fish species in the North Platte River drainage. We updated the current distribution of Brook Stickleback, evaluated for possible range expansion, and determined landscape-level habitat...
Per- and Polyfluoroalkyl Substances (PFAS) in U.S. Tapwater: Comparison of Public-Supply and Underserved Private-Well Exposures and Associated Health Implications Per- and Polyfluoroalkyl Substances (PFAS) in U.S. Tapwater: Comparison of Public-Supply and Underserved Private-Well Exposures and Associated Health Implications
This software involves files to fit the statistical models described in Smalling et al. Specifically, there are R scripts and associated stan model files (when appropriate) for comparing PFAS concentrations among public-supply and private-wells and as a function of geospatial predictor variables. There is also an R script for modeling the number of PFAS chemicals detected among water...
Golden Eagle Survival in the Great Plains, Nestlings, with Territory and Time Random Effects - Supplemental Code Golden Eagle Survival in the Great Plains, Nestlings, with Territory and Time Random Effects - Supplemental Code
R code for modeling survival of nestling and fledgling golden eagles. It is supplemental material for a manuscript submitted to Journal of Raptor Research.
Point locations and species and behavioral identifications of colonial nesting seabirds on Maine's coastal islands interpreted from 2019 plane-based imagery Point locations and species and behavioral identifications of colonial nesting seabirds on Maine's coastal islands interpreted from 2019 plane-based imagery
This dataset includes XY coordinates and species and behavioral observations of birds detected in aerial imagery captured over coastal islands along Maine's coast during 30 May. - 3 June 2019. The Partenavia P.68 Observer plane flew over 268 islands within the Gulf of Maine (GOM). The plane flew at an altitude of 310 m above ground level and was equipped with a PhaseOne iXU-RS1000 (100...
Mid-Atlantic Coast, Lasiurus borealis Movement and Migration Mid-Atlantic Coast, Lasiurus borealis Movement and Migration
The data in the CSV file named RSF is a detailed dataset used to run the models testing relationships between movement behavior and atmospheric conditions. This dataset includes: detection date and rounded hour, status (0 or 1) showing if over-water movement occurring within nine hours was detected, number of hours since sunset, site ID of area weather station, Motus tag ID, wind speed
Workflow to acquire and process large spatial data and build complex models Workflow to acquire and process large spatial data and build complex models
This software involves R scripts to download and process large-scale spatial data defined by an extent input by the user. The code then resamples data to the desired resolution, downloads metadata from a public website on West Nile virus prevalence in mosquito pools, then extracts spatial layer data as covariates for each record. Also, this software involves R script to fit models of...
Distribution Models Predicting Groundwater Influenced Ecosystems in the Northeastern United States Distribution Models Predicting Groundwater Influenced Ecosystems in the Northeastern United States
Globally, groundwater dependent ecosystems (GDEs) are increasingly vulnerable to groundwater extraction and land use practices. Groundwater supports these ecosystems by providing inflow, which can maintain water levels, water temperature, and chemistry necessary to sustain the biodiversity that they support. Many aquatic systems receive groundwater as a portion of base flow, and in some...