Dataset

Tidal Marsh Bird Conservation Prioritization

Commons Hosting
Climate Commons Hosting Status: 
Available
Other Online Access: 

The new version of this dataset may be visualized and downloaded at Future San Francisco Bay Tidal Marshes, A Climate Smart Planning Tool

Basic Information

Priority areas for conservation of tidal marsh birds given current and future environmental conditions. Maps were created using Zonation, a spatial conservation planning software tool that can take into account multiple species and scenarios to create a hierarchical prioritization of the landscape.

The current (2010) and future (2030-2110) prioritization is based upon distribution and abundance models for five tidal marsh bird species which utilized avian observation data (2000 - 2009), a marsh accretion model, and physical variables (e.g. salinity, distance to nearest channel, slope, etc). Values represent the rank in which pixels were removed from the landscape using Zonation Conservation Planning software with core area zonation algorithm. Higher values indicate pixels that were removed last and are of the highest conservation value.

This dataset has been updated and is superseded by a newer version. Please see http://data.prbo.org/apps/sfbslr/sfbslrapp for interactive maps and additional details.

Creator: 
Point Blue Conservation Science
Publisher: 
PRBO Conservation Science
Spatial Resolution: 
50m
Temporal Coverage: 
2010 - 2110
Date Issued: 
2012
Parameters / Choices
A dataset often contains many geodata layers representing the same kind of measurement, but for different values of some parameters - time periods, models or scenarios, different species, etc. A value must be chosen for each such parameter in order to select a specific layer or raster which associated a single value with each geographic location (cell). The parameters or choices relevant to selecting layers from this dataset are described here.
Time Units: 
20-year time periods
Multi-year Ranges: 
Present (2010), 2030, 2050, 2070, 2090, 2110
Raster Grids available: 
File Attachments

Data Variables in this Dataset