Results 111 to 120 of about 5,737 (222)

The Evolving Decline of Landfast Sea Ice in Northern Alaska and Adjacent Waters: Results from an Updated Climatology

open access: yesJournal of Geophysical Research: Oceans, Volume 131, Issue 1, January 2026.
Abstract We present a new 27‐year record of landfast sea ice extent in northern Alaska and adjacent waters, which uses ice chart data to extend a previous analysis based on synthetic aperture radar (SAR) imagery. This new climatology provides updated information on the decline of landfast ice in a region of the Arctic that has seen extensive losses of ...
Andrew R. Mahoney, Andrew H. Einhorn
wiley   +1 more source

Advancing Mediterranean Biodiversity Monitoring in South Africa Through Machine Learning and Cost‐Effective UAS Imagery

open access: yesJournal of Geophysical Research: Biogeosciences, Volume 131, Issue 1, January 2026.
Abstract The Greater Cape Floristic Region (GCFR) of South Africa is globally recognized for its exceptional plant diversity and endemism, yet faces mounting threats from habitat loss, altered fire regimes, and invasive species. Fire is a key ecological driver in the Fynbos (shrubland) biome of the GCFR, influencing vegetation structure, composition ...
Manisha Das Chaity   +5 more
wiley   +1 more source

Time Variance in Snowmelt Partitioning: A Mechanistic Modeling Approach to Explore the Role of Catchment Structure and Pre‐Snow Rainfall

open access: yesWater Resources Research, Volume 62, Issue 1, January 2026.
Abstract Understanding how snowmelt is partitioned into different hydrologic flowpaths/storages—and how this partitioning varies over time—is essential for predicting water availability and quality under climate variability. In this study, we examine the time‐variance of snowmelt partitioning patterns (SPP) in response to interannual variations in ...
Mahbod Taherian, Ali A. Ameli
wiley   +1 more source

Multi‐Objective Urban Observational Strategies: A Risk‐Based Framework for Expanding Flood Sensor Networks

open access: yesWater Resources Research, Volume 62, Issue 1, January 2026.
Risk is the confluence of Hazard, Exposure, and Vulnerability. Abstract In coupled human and natural systems, developing an observation strategy which maximizes insight into both the natural system and the human system is a challenging multi‐objective optimization problem. In this article, we describe the expansion of a flood risk observation system in
Christa Brelsford   +6 more
wiley   +1 more source

A Voronoi Diagram‐Based Approach for AC Optimal Power Flow

open access: yesIET Generation, Transmission &Distribution, Volume 20, Issue 1, January/December 2026.
This paper presents a new approach for AC optimal power flow. The proposed approach begins by constructing a Voronoi diagram using a set of initial sample points that represent candidate solutions distributed across the search space. It then iteratively adds new sample points, including: (i) a tentative optimal point obtained via the continuous ...
Mohammed N. Khamees, Kai Sun
wiley   +1 more source

Bird Community Composition, Migration, and Environmental Factors Jointly Influence the Global Distribution of Avian Haemosporidian Lineages

open access: yesIntegrative Zoology, Volume 21, Issue 1, Page 60-68, January 2026.
Avian haemosporidians are widely distributed; however, the role of migratory and non‐migratory birds, as well as environmental conditions, is incompletely understood. A histogram of the number of parasite lineages per ecoregion shows the variation in avian haemosporidian richness across space.
Carlos Molinero   +4 more
wiley   +1 more source

Advancing vegetation monitoring with virtual laser scanning of dynamic scenes (VLS‐4D): Opportunities, implementations and future perspectives

open access: yesMethods in Ecology and Evolution, Volume 17, Issue 1, Page 33-51, January 2026.
Abstract Virtual laser scanning (VLS) is an established and valuable research tool in forestry and ecology, widely used to simulate labelled light detection and ranging (LiDAR) point cloud data for sensitivity analysis, model training for machine learning (ML) and method testing.
Hannah Weiser, Bernhard Höfle
wiley   +1 more source

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