Water

The collaborative design which joins wildlife biologists and hydrologists enables ARMI to ask the kinds of questions it does about the environmental variables that affect amphibians in a truly integrated manner. Understanding how water quality, quantity, or timing affects amphibians is a critical component of ARMI research.

A hydrologist is associated with each ARMI region and works with the ARMI PI to develop and implement research and monitoring projects. These collaborations enable ARMI to ask questions about how water quality (e.g., nutrients, agro-chemicals, acidification), water budgets (e.g., ground and surface water models), storm surge impacts, or other hydrologic conditions can affect amphibian life cycles, disease transport, or habitat quality.

Resources

Hydrologic Investigations
USGS Toxics Substances Hydrology program

Pesticide lab.
K. Jones (USGS) extracting a water sample for pesticide analysis at Pesticide Fate Research Laboratory. Photo by: R. Todd.

Water - ARMI Papers & Reports

Data Release Calculations of BioLake climate data
Authors: Ryan C Burner; Richard E Erickson
Date: 2022-11-01 | Outlet: USGS GitLab
Climate data allow people to examine species distributions and possible distributions. This script takes ERA5-Land climate estimates (https://www.ecmwf.int/en/forecasts/datasets/reanalysis-datasets/era5) for precipitation and lake temperature and processes them to create summary climate layers for use with biological organisms in lakes. This code could be modified to use a different subset of years.

These BioLake raster data provide global estimates (~10.0 x 12.4 km resolution) of twelve bioclimatic variables based on estimated lake temperature. Eleven of these twelve variables (BioLake01 - BioLake11) are estimated for each of three lake strata: lake mix (surface) layer, lake bottom, and total lake water column. These eleven variables correspond to CHELSA (Climatologies at high resolution for the earth's land surface areas) bioclimatic variables BIO1 - BIO11, except that these BioLake variables are based on lake water temperature and CHELSA BIO1 - BIO11 variables are based on air temperature. CHELSA BIO is also calculated a finer spatial resolution (~1 x 1 km). The twelfth variable (BioLake20; months with non-zero ice cover) does not correspond to any CHELSA bioclimatic variable. The data are supplied as a multi-layer raster (.grd) file in the World Mollweide projection, accompanied by a header file (.gri) with layer names.

For BioLake layer download, see https://doi.org/10.5066/P96QLN5Y
Data Release BioLake bioclimatic variables based on ERA5-Land lake temperature estimates 1991-2020
Authors: Ryan C Burner; Richard E Erickson
Date: 2022-01-21 | Outlet: USGS ScienceBase
These BioLake raster data provide global estimates (~10.0 x 12.4 km resolution) of twelve bioclimatic variables based on estimated lake temperature. Eleven of these twelve variables (BioLake01 - BioLake11) are estimated for each of three lake strata: lake mix (surface) layer, lake bottom, and total lake water column. These eleven variables correspond to CHELSA (Climatologies at high resolution for the earth's land surface areas) bioclimatic variables BIO1 - BIO11, except that these BioLake variables are based on lake water temperature and CHELSA BIO1 - BIO11 variables are based on air temperature. CHELSA BIO is also calculated a finer spatial resolution (~1 x 1 km). The twelfth variable (BioLake20; months with non-zero ice cover) does not correspond to any CHELSA bioclimatic variable. The data are supplied as a multi-layer raster (.grd) file in the World Mollweide projection, accompanied by a header file (.gri) with layer names.
Data Release Water level data from select depressional wetlands at Saint Marks National Wildlife Refuge: July 2010 - May 2019 (ver. 2.0, August 2022)
Authors: Jeffrey W Riley
Date: 2022-08-08 | Outlet: ScienceBase
This Data Release represents geospatial and tabular data for a study investigating linkages between local terrain and wetland hydroperiod and was supported by the U.S. Geological Survey (USGS) Amphibian Research and Monitoring Initiative (ARMI). This dataset contains wetland water level data from Saint Marks National Wildlife Refuge (SMNWR). Data include records of water level and water temperature measurements from select wetlands beginning in July 2010 and ending in 2019. Not all wetlands span this entire period as different phases of studies resulted in different time periods of data collection. Instrumentation included a staff gage and a non-vented continuous logging pressure transducer that logged data at 1-hour intervals. The dataset consists of 4 separate items:
1. water level monitoring site Locations (tabular data)
2. wetland perimeters (GIS vector data)
3. water level and water temperature data for 59 select wetlands (tabular data)
4. revision history text file that describes the changes from the original release to version 2.0.
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