Results 161 to 170 of about 6,222 (215)

Zooarchaeology of Houses and Middens: Investigating Patterns of Assemblage Composition at Early Inuit Sites Across the North American Arctic

open access: yesInternational Journal of Osteoarchaeology, EarlyView.
ABSTRACT This study examines faunal assemblages from paired semisubterranean houses and middens at 10 Early Inuit sites spanning the North American Arctic (ca. 1200–1500 ce) to evaluate whether local resource bases or other factors primarily structure zooarchaeological variability.
Lauren E. Y. Norman   +2 more
wiley   +1 more source

Feast or famine: How food deserts, wealth and greenspace correlate with coyote diets in Seattle, Washington

open access: yesPeople and Nature, EarlyView.
Abstract Urban environments create unique challenges for wildlife, where dietary habits may reflect both ecological heterogeneity and societal disparities. In this study, we explored how social factors such as household income and human population density, and ecological factors such as tree canopy correlate with coyote (Canis latrans) diets in Seattle,
Samantha Erin Sophia Kreling   +7 more
wiley   +1 more source

Relational values, motivations, and benefits drive community commitment to urban predator control for ecological restoration

open access: yesPeople and Nature, EarlyView.
Abstract Volunteers play a crucial role in urban ecological restoration, and in the Aotearoa New Zealand context, volunteer effort is a central tool used to drive landscape‐scale conservation outcomes. Here, we identify the motivations and benefits that drive community involvement and commitment to conservation initiatives, drawing on a unique case ...
Julie Whitburn, Danielle Shanahan
wiley   +1 more source

Cohort profile: design and respondent characteristics for the longitudinal Survey of Trauma, Resilience and Opportunity Among Neighbourhoods in the Gulf (STRONG) cohort. [PDF]

open access: yesBMJ Open
Harding AB   +12 more
europepmc   +1 more source

Remote sensing and citizen science for habitat mapping: A machine learning approach to lowland heathland in Surrey, UK

open access: yesPeople and Nature, EarlyView.
Abstract In a time of extensive global biodiversity loss, conservation efforts increasingly rely on high‐resolution, accurate, up‐to‐date habitat maps to guide decision‐making and strategic interventions. Many products have been developed in response, using machine learning (ML) methods to automate habitat classification, often relying on satellite ...
Victoria Webster   +7 more
wiley   +1 more source

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