Results 171 to 180 of about 94,999 (279)

21st‐Century Mangrove Expansion Along the Southeastern United States

open access: yesGlobal Change Biology, Volume 32, Issue 1, January 2026.
Global warming is driving poleward range shifts worldwide, including the northward expansion of tropical mangroves along the Atlantic coast of North America. In this region, warming winters are enabling mangroves to encroach into salt marsh–dominated temperate latitudes, potentially transforming wetland ecosystem function and services. To assess future
Lucia I. A. Enes Gramoso   +5 more
wiley   +1 more source

Autonomy or Accountability? How Meritocracy, Patronage and Gender Balance Affect Perceptions of Legitimacy

open access: yesGovernance, Volume 39, Issue 1, January 2026.
ABSTRACT While research suggests that bureaucratic performance is critically contingent on employee selection procedures, few studies examine the perceived legitimacy of different recruitment regimes in the eyes of citizens. This study investigates how perceived bureaucratic legitimacy is shaped by the principles guiding the selection process (merit ...
Monika Bauhr, Nicholas Charron
wiley   +1 more source

Weakened Random Oracle Models with Target Prefix.

open access: yesWeakened Random Oracle Models with Target Prefix.
identifier:oai:t2r2.star.titech.ac.jp ...
openaire  

Hybrid Projections Improve Prediction of Distributional Shifts of Invasive and Native Seaweeds Under Climate Change

open access: yesJournal of Biogeography, Volume 53, Issue 1, January 2026.
ABSTRACT Aim Using correlative species distribution models (SDMs) to predict species' range shifts may have limited predictive power when extrapolating into climatic conditions outside those used to train the models. The inclusion of physiological responses to add mechanistic knowledge can increase the reliability of predictions, but it is seldom ...
Sandra Hernández   +5 more
wiley   +1 more source

On the Optimal Prediction of Extreme Events in Heavy‐Tailed Time Series With Applications to Solar Flare Forecasting

open access: yesJournal of Time Series Analysis, Volume 47, Issue 1, Page 25-42, January 2026.
ABSTRACT The prediction of extreme events in time series is a fundamental problem arising in many financial, scientific, engineering, and other applications. We begin by establishing a general Neyman–Pearson‐type characterization of optimal extreme event predictors in terms of density ratios.
Victor Verma, Stilian Stoev, Yang Chen
wiley   +1 more source

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