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Whitenack, L. E.

Publications and source records attributed to Whitenack, L. E..

2 recordsLinked to original sources

Drought to deluge: Differential impacts of snow on mountain chickadee reproduction across the Sierra Nevada mountains

Changing climates are reshaping animal populations, but our understanding of how demographic trends are shaped by individual responses to local environmental conditions has historically been limited to long-term studies with restricted spatial scales. Participatory science (i.e. citizen science) programs have improved our ability to identify geographic variation in population-level trends, but these programs often lack insight into the individual-level processes that underly such variation. Here we present a new research framework that uses long-term data to validate participatory science observations as measurements of reproductive success, then explores reproductive responses to environmental variation across large geographic scales. We use this approach to investigate how reproduction in a montane songbird, the mountain chickadee (Poecile gambeli), varies in response to extreme scarcity and extreme accumulation of snow throughout the Sierra Nevada Mountains in North America. Reproductive responses to snowfall extremes varied considerably across elevations and latitudes. In the northern Sierra Nevada, mountain chickadee reproductive performance was negatively affected by snow deluge conditions at high elevations, whereas snow drought conditions reduced reproductive output at low elevations. In the central Sierras, drought conditions negatively impacted both elevations, but deluge conditions improved reproductive performance at both low and high elevations. Reproduction in the southern Sierra Nevada was nearly unaffected by spring snow levels. These variable responses to extreme snow accumulation across environments corroborate increasing evidence that biological responses to environmental variation are often nonstationary across spatial scales. Our results show that long-term studies can be used to inform and interpret participatory science data to provide a framework that strengthens our understanding of how individual behaviors underly differential responses to environmental variation across geographic scales.

ecology↗

Comparing multiscale, presence-only habitat suitability models created with structured survey data and community science data for a rare warbler species at the southern range margin

Golden-winged Warblers (Vermivora chrysoptera, Parulidae) are declining migrant songbirds that breed in the Great Lakes and Appalachian regions of North America. Within their breeding range, Golden-winged Warblers are found in early successional habitats adjacent to mature hardwood forest, and previous work has found that Golden-winged Warbler habitat preferences are scale-dependent. Golden-winged Warbler Working Group management recommendations were written to apply to large regions of the breeding range, but there may be localized differences in both habitat availability and preferences. Rapid declines at the southernmost extent of their breeding range in Western North Carolina and Georgia necessitate investigation into landscape characteristics governing distribution in this subregion. We describe patterns of Golden-winged Warbler presence in Western North Carolina by examining habitat variables at multiple spatial scales using data from standardized Audubon North Carolina (NC) surveys and unstructured community scientist checklists submitted to eBird. We compared model performance and predictions between Audubon NC and eBird models and found that Golden-winged Warbler presence is associated with sites which, at a local scale (150m), have more young forest, less mature forest, and more road cover, and at a landscape scale (2.5km), have less road cover. eBird and Audubon models had similar parameter estimates for all of the land cover variables and similar overall performance. Based on parameter estimates, road density at the landscape scale (2.5km) is the primary variable driving the difference between Golden-winged Warbler breeding sites and random background sites in Western North Carolina. Our results show that eBird data can produce species distribution modeling results that are similar to results obtained from more standardized survey methods.

ecology↗