https://aquaticbarriers.org/

The Southeast Aquatic Resources Partnership has created and maintained the most complete and value-added inventory of aquatic barriers in the Southeastern U.S. This tool helps users prioritize aquatic barriers for removal and mitigation based on metrics that describe aquatic network connectivity.

Three types of barriers are considered in these analyses:

These natural barriers are considered "hard" barriers that break the aquatic network. These are not assessed for removal but are used to constrain the available aquatic networks used to prioritize artificial barriers.

These large artificial barriers are considered "hard" barriers that break the aquatic network. Aquatic networks, already divided by waterfalls above, are further divided by these dams. The potential gain of removing a dam is determined by ranking the connectivity metrics for each dam compared to other dams. Small barriers are not included in this analysis.

These barriers may or may not break the network, depending on site-specific factors. These include culverts or other small artificial barriers that may impede the flow of aquatic organisms. Aquatic networks, divided by waterfalls and dams above, are further subdivided to assess the network connectivity of each small barrier.

These large and small barriers are analyzed to produce two groups of outputs:

1. network metrics for dams, based on cutting the network for all dams and waterfalls
2. network metrics for small barriers, based on cutting the network for all dams, waterfalls, and small barriers

Data processing steps are detailed in /analysis/README.md. Data are processed heavily before integrating into the tool.

The user interface tier is stored in /ui and consists of a GatsbyJS and React-based application.

The backend is composed of several parts:

• /analysis: data processing scripts
• /api: FastAPI for requesting subsets and downloads
• map tiles are served from /tiles using mbtileserver (tiles are not stored in the code repository)

To develop this application, you need Python 3.8+ and NodeJS 16+.

pipenv and npm are used as the package managers for those languages.

Install mbtileserver according to https://github.com/consbio/mbtileserver. Then from appropriate directory (or if installed via go get and ~/go/bin is on your PATH): mbtilserver -p 8001 -d /<PATH TO REPO>/tiles.

You should now be able to open http://localhost:8001/services to see a listing of available tile services.

See ui/package.json for NodeJS dependencies used by the UI tier.

• cd ui
• run npm install to install all dependencies.

The following environment variables must be sent in /ui/.env.development:

GATSBY_MAPBOX_API_TOKEN = <token>
GATSBY_API_HOST = <root URL of API host, likely http://localhost/:5000 for local fastapi server >
GATSBY_TILE_HOST = <root URL of tile host, likely http://localhost:8001 for local mbtileserver >

See pyproject.toml for Python dependencies. The development dependencies are required for the data processing scripts.

Python dependencies are managed using poetry.

This project depends on some binary packages which do not always install nicely using pip. Provided that you have GEOS, GDAL, and GCC installed on your computer, you can build these from source:

`PIP_NO_BINARY="pygeos shapely fiona pyogrio" pip install pygeos shapely fiona pyogrio

The user interface is built using GatsbyJS.

To start the development server (on port 8000, by default):

• cd ui
• gatsby develop

Within an active Python environment (pipenv shell).

To start the API server (on port 5000, by default), with reloading:

uvicorn api.server:app --reload --reload-dir api --port 5000

The API loads environment variables from .env in the root of this project.

Server configuration and deployment steps are available in deploy/README.md.

The version number and date needs to be set properly for each release in ui/package.json. This generally should follow semantic versioning wherein with X.Y.Z:

• X refers to a major version, and includes major updates to the inventory data, network data, or analysis methods.
• Y refers to a minor version, and includes minor updates to the inventory data (e.g., downloading a new set of data with more barriers) but no substantive change to the overall approach or data used. This should be incremented on every download from the inventory that includes new data.
• Z refers to a bug fix version, and is used when new results are released due to bugs in the analysis code.

This version is displayed to end users as the data version.

The date property needs to be set to the date the data were last downloaded.

This project was made possible in partnership with the Southeast Aquatic Resources Partnership (SARP). Kat Hoenke (SARP Spatial Ecologist and Data Manager) provided all data from SARP used in this project.

It was supported in part by grants from the U.S. Fish and Wildlife Service Fish Passage Program, Gulf Coastal Plains and Ozarks Landscape Conservation Cooperative, and Florida State Wildlife Grants Program.

This project was originally created by Brendan C. Ward at the Conservation Biology Institute. Brendan, now with Astute Spruce, LLC, has continued to enhance this project in partnership with SARP.