Results 201 to 210 of about 2,963,905 (354)

Demographic buffering in natural populations: A multi‐level perspective

open access: yesJournal of Animal Ecology, EarlyView.
We introduce a multi‐level framework that unites stochastic elasticities with nonlinear selection to test demographic buffering. Applying it across mammals reveals a key insight: ecological robustness to variability often decouples from evolutionary constraint, reshaping how we understand resilience under environmental stochasticity.
Gabriel Silva Santos   +4 more
wiley   +1 more source

Eco‐evolutionary dynamics of partially migratory metapopulations in spatially and seasonally varying environments

open access: yesJournal of Animal Ecology, EarlyView.
Partial seasonal migration is rarely considered in a metapopulation context. Here, Haaland et al. use an eco‐evolutionary model revealing how partially migratory metapopulations may arise and be maintained, and how seasonal migrants may cause effects of local extreme climatic events to percolate through metapopulations across diverging temporal and ...
Thomas R. Haaland   +7 more
wiley   +1 more source

Comparative entropy analysis of 2D transition metal tetrahydroxyquinones via machine learning approaches. [PDF]

open access: yesSci Rep
Irfan M   +5 more
europepmc   +1 more source

Population trends and variability within bird communities are amplified by intense land use

open access: yesJournal of Animal Ecology, EarlyView.
We show that bird populations in farmland have stronger long‐term changes and are more variable around these changes than in woodland. Disentangling these two components of population stability helps understand the effects of anthropogenic pressures on wild communities.
Josquin Guerber   +2 more
wiley   +1 more source

Caution Ahead: Numerical Reasoning and Look‐Ahead Bias in AI Models

open access: yesJournal of Accounting Research, EarlyView.
ABSTRACT Recent work within accounting and finance has highlighted that modern AI systems exhibit superhuman performance on a variety of foundational activities within these fields. However, the literature often does not provide economic rationale for why AI models seem to outperform, largely because these models are a black box.
BRADFORD LEVY
wiley   +1 more source

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