Overview Communities is part of the Highly Valued Resource or Asset (HVRA) data used in the National Wildfire Risk Assessment for Forest Service Lands (NaWRA, Dillon 2020). Community density classes can be used as Sub-HVRAs within the Map Values, Exposure Analysis and Quantitative Wildfire Risk Assessment functionality within the Interagency Fuel Treatment Decision Support System (IFTDSS, https://iftdss.firenet.gov). Data Details Communities represents population density classes based on Residentially Developed Populated Areas (RDPA, Haas et al. 2013). RDPA was developed using the LandScan USATM population data (Oak Ridge National Laboratory, 2008) with some additional smoothing to conservatively identify pixels that were most likely to have people and residential structures located within them (Haas et al. 2013).
RDPA was summarized into three population density classes for use in IFTDSS. Classification used similar population density ranges to the Federal Register Wildland Urban Interface categorization:

Low density: >0-28 people per square mile

Medium density: >28-250 people per square mile

High density: > 250 people per square mile

Citations Dillon, Gregory K. 2020. Results and application of the National Wildfire Risk Assessment. In: Hood, Sharon M.; Drury, Stacy; Steelman, Toddi; and Steffens, Ron, eds. Proceedings of the Fire Continuum—Preparing for the future of wildland fire; 2018 May 21-24; Missoula, MT. Proceedings RMRS-P-78. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. Pgs 252-257. Haas, Jessica R.; Calkin, David E.; Thompson, Matthew P. 2013. A national approac h for integrating wildfire simulation modeling into Wildland Urban Interface risk assessments within the United States. Landscape and Urban Planning. 119: 44-53. Oak Ridge National Laboratory (2008). LandScan 2008 High Resolution Population Distribution Model. L. UT-Battelle, editor., Oak Ridge, TN

Identifying the specific environmental features and associated density-dependent processes that limit population growth is central to both ecology and conservation. Comparative assessments of sympatric species allow for inference into how ecologically similar species differentially respond to their shared environment, which can be used to inform community-level conservation strategies. Comparative assessments can nevertheless be complicated by interactions and feedback loops among the species in question. We developed an integrated population model based on sixty-one years of ecological data describing the demographic histories of Canvasbacks (Aythya valisineria) and Redheads (Aythya americana), two species of migratory diving ducks that utilize similar breeding habitats and affect each other’s demography through interspecific nest parasitism. We combined this model with a transient life table response experiment to determine the extent that demographic rates, and their contributions to..., DATA COLLECTION We combined a series of long-term data sets into a single integrated population model that provided insights into how variation in seasonal survival (band releases and recoveries) and offspring production (harvest age-ratios) contributed to fluctuations in population growth (breeding survey, harvest estimates) for Canvasbacks and Redheads from 1961–2021. Banding Data – Information regarding the banding and subsequent harvest of ducks was acquired from the GameBirds Database CD (Bird Banding Lab, USGS Patuxent Wildlife Research Center, Laurel MD, USA, version August 2022). Male and female Canvasbacks and Redheads were captured following breeding but prior to the hunting season (Pre-Hunting) as ducklings (Local) or hatch year (HY; fledged juvenile) individuals as well as after hatch year (AHY; adult) individuals or following the hunting season (Post-Hunting) as an undifferentiated mixture of second year (SY) and after second year (ASY) individuals captured and released acr..., , # Manuscript Details:

Journal Name: Ecological Monographs (submitted)

Title: Explaining the divergence of population trajectories for two interacting waterfowl species.

Author(s):

Gibson, D.(1,2a), T.W. Arnold (2), F.E. Buderman (3) D.N. Koons (1),

1 Department of Fisheries, Wildlife, and Conservation Biology, University of Minnesota, St. Paul, MN 55455

2 Department of Ecosystem Science and Management, Pennsylvania State University, University Park, PA 16802

3 Department of Fish, Wildlife, and Conservation Biology & Graduate Degree Program in Ecology, Colorado State University, Fort Collins, Colorado 80523 USA

a Corresponding Author: gibso678@umn.edu

Decomposing the drivers of Canvasback and Redhead population change: Code and data to develop explantory variables, build a population model, and perform a transient life table response experiment

We have provided the raw agricultural (crop.rdata), wetland abundance (**ponds.rdata*...