Song Sparrow Predicted Presence - Sacramento-San Joaquin Delta - Point Blue [ds3051]

This is one of 9 raster geotiff layers in the larger dataset "Predicted probability of riparian landbird distributions in the Sacramento-San Joaquin Delta". This dataset was developed by Point Blue Conservation Science for a project funded through the Proposition 1 Delta Water Quality and Ecosystem Restoration Program administered by the California Department of Fish and Wildlife titled "Trade-offs and Co-benefits of Landscape Change Scenarios on Bird Communities and Ecosystem Services in the Sacramento-San Joaquin River Delta (Grant Agreement Number Q1996022). These data were used in spatial prioritization analyses for identifying Priority Bird Conservation Areas for riparian landbirds and waterbirds in the Delta (see related datasets: "Spatial prioritization for bird conservation in the Sacramento-San Joaquin Delta" and "Priority Bird Conservation Areas in the Sacramento-San Joaquin Delta"). Each layer in this dataset consists of the predicted probability of presence for an individual species resulting from fitting species distribution models to a recent representation of the land cover and land use in the Delta in 2018 (see related dataset: "Baseline and projected future land use and land cover in the Sacramento-San Joaquin Delta"). Species distribution models were developed from thousands of bird surveys for each of 9 riparian landbird focal species during the peak of breeding season (May-June), including: Ash-throated Flycatcher (ATFL), Black-headed Grosbeak (BHGR), Common Yellowthroat (COYE), Lazuli Bunting (LAZB), Nuttall's Woodpecker (NUWO), Song Sparrow (SOSP), Spotted Towhee (SPTO), Yellow-breasted Chat (YBCH), and Yellow Warbler (YEWA). See Dybala et al. (In review) for additional details on the development, assumptions, and limitations of the underlying species distribution models and the baseline landscape. Note that we assumed and filled in zero probability of presence in areas of open water.

Disclaimer: The State makes no claims, promises, or guarantees about the accuracy, completeness, reliability, or adequacy of these data and expressly disclaims liability for errors and omissions in these data. No warranty of any kind, implied, expressed, or statutory, including but not limited to the warranties of non-infringement of third party rights, title, merchantability, fitness for a particular purpose, and freedom from computer virus, is given with respect to these data.