Data and Code for \"Drought Influences Habitat Associations and Abundances of Birds in California's Central Valley\"

As climate change increases the frequency and severity of droughts in many regions, conservation during drought is becoming a major challenge for ecologists. Droughts are multidimensional climate events whose impacts may be moderated by changes in temperature, water availability, or food availability, or some combination of these. Simultaneously, other stressors such as extensive anthropogenic landscape modification may synergize with drought. Useful observational models for guiding conservation decision-making during drought require multidimensional, dynamic representations to disentangle possible drought impacts, and consequently they will require large, highly resolved data sets. In this paper, we develop a multi-model predictive framework for assessing how drought impacts vary with species, habitats, and climate pathways. We found that while fewer than a quarter (16/66) of species experienced abundance declines during drought, nearly half of all species (27/66) changed their habitat..., We used a multi-model counterfactual analysis combining predictive linear mixed models and N-mixture models to characterize the multidimensional impacts of drought on 66 bird species. We analyzed counts from the eBird participatory science dataset between 2010 and 2019 and produced species, as well as habitat-specific estimates of the impact of drought on relative abundance., As described in the README, all data are available from other publicly available datasets therein attributed. The analyses were run most recently in R version 4.3.1 for Windows. The following packages are required to reproduce results: rgdal, sp, SF, rgeos, raster, tidyverse, prism, lubridate, taxadb, taxalight, nimble, nimbleEcology, gridExtra, viridis, parallel, brms, MCMCvis. Refer to the associated GitHub repository, code and README files for detailed usage notes.
 , # Data and Code for \"Drought influences habitat associations and abundances of birds in California's Central Valley\"

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This project generated data files and conducted analyses reusing publicly available data sources, as attributed below.

For the eBird dataset, we queried all complete checklist observations of birds in California, USA, from 2010 to 2019.

* *eBird. 2021*. Citation: eBird: An online database of bird distribution and abundance [web application]. eBird, Cornell Lab of Ornithology, Ithaca, New York. Available: [http://www.ebird.org](http://www.ebird.org). (Accessed: August 1, 2020).

Additionally, we used several other data inputs from publicly available repositories for the analysis:

* *Functional Vegetation from LANDFIRE*. Citation: LANDFIRE. (2020). LANDFIRE Remap 2016 Existing Vegetation Type (EVT) CONUS. Earth Resources Observation and Science Center (EROS), U.S. Geological Survey. [http://datainventory.doi.gov/id/dataset/2d4c9eb438401e25f0de539924afcae2](http...