Paper Harvest Report

Date range: April 22, 2026

4 top-tier papers selected out of 142 total publications

Today’s Highlights

Salt marsh vulnerability to sea-level rise varies dramatically with hydrological setting and salinity regime in the largest U.S. lagoonal estuary, challenging assumptions of universal marsh deterioration trajectories. Atmospheric rivers are strengthening their influence on global snowpack dynamics with implications for water availability, and a global analysis of 69 coastal wetland restoration sites shows over 80% maintained or expanded wetlands through managed realignment.

Today’s Highlights
Top-Tier Journal Papers
Statistics
1. Papers by journal
Filtering Criteria

Top-Tier Journal Papers

Spatial Heterogeneity of Salt Marsh Vulnerability to Sea‐Level Rise: Dual Controls of Hydrological Setting and Salinity Regime

Authors: Dongxiao Yin, Zafer Defne, Neil K. Ganju, John C. Warner, David K. Ralston et al.

Journal: Geophysical Research Letters · DOI: 10.1029/2025gl119461

Matched topics: hydrology, estuary

Salt marsh vulnerability to sea‐level rise (SLR) is typically assessed using point measurements of vertical accretion, neglecting three‐dimensionality of geomorphic evolution and spatial variability. Recent studies suggest links between vertical and horizontal vulnerability, with differences between oligohaline and polyhaline marshes, yet these relationships remain untested in estuary‐marsh systems. Here we combine geospatial analysis with hydrodynamic modeling to evaluate how unvegetated/vegetated marsh ratio (UVVR), a metric of marsh degradation, relates to elevation across hydrological regions and salinity regimes in the Albemarle‐Pamlico Estuarine System, the largest lagoonal estuary in U.S. We show that at given normalized elevation, UVVR decreases across hydrological regions and salinity regimes from offshore to inland. UVVR‐elevation relationship varies systematically with both hydrological setting and salinity regime, with hydrology exerting stronger influence. These findings challenge the assumption of a universal marsh deterioration trajectory and underscore the need to account for spatial heterogeneity when predicting responses to SLR.

Strengthening influence of atmospheric rivers on global snow depth dynamics

Authors: Haili Li, Chang-Qing Ke, Xiaoyi Shen, Suhui Wu, Qinghui Zhu et al.

Journal: Nature Communications · DOI: 10.1038/s41467-026-71969-w

Matched topics: river

Atmospheric rivers (ARs), narrow zones of intense water vapor transport in the Earth’s atmosphere, play a pivotal role in driving heavy precipitation and temperature anomalies. Snowpack dynamics, essential for global water availability, are sensitive to variations in precipitation and temperature. However, the global influence of ARs on snowpack dynamics remains unclear. Here, we assess how ARs affect snow depth worldwide and explore the underlying physical mechanisms. Our results reveal that ARs drive strong intra-seasonal snowpack variability-generally increasing snow depth in winter and spring and decreasing it in summer (with declines exceeding 15% in Temperate regions) and autumn. Active El Niño-Southern Oscillation can amplify this influence. On interannual timescales, more frequent ARs are associated with reduced snow depth in summer but increased snow depth in other seasons. Snowfall emerges as the primary factor explaining interannual snowpack changes related to ARs. This study provides a crucial advancement in understanding the complex climate-snowpack relationship and underscores the need to represent AR-snowpack interactions in Earth system models.

Hydro-geomorphological drivers across scales shape the trajectory of coastal wetland restoration

Authors: Junlin Ren, Sikai Wang, Tingting Zhang, Jun Ma, Ting Zhang et al.

Journal: Nature Communications · DOI: 10.1038/s41467-026-71992-x

Matched topics: river, coastal

Coastal wetlands provide essential ecosystem services but continue to decline globally, driving demand for effective restoration. Managed realignment, which relocates sea defenses landward to reinstate tidal exchange, is a key nature-based solution for creating self-sustaining wetlands. However, unpredictable restoration outcomes highlight the need for a framework to understand the underlying physical drivers and prioritize sites. Using four decades of satellite data from 69 global sites, we show that over 80% of the restoration projects maintained or expanded wetlands. These trajectories are primarily shaped by regional sediment supply, local tide-relative elevation, and internal tidal creek connectivity. Extending this framework globally, we estimate about 920 square kilometres of wetlands lost since the 1990s could be restored under current physical conditions. Recoverable areas in Asia, the Americas, and Europe exceed the 30% target of the Kunming-Montreal Global Biodiversity Framework. By linking outcomes to multi-scale physical contexts, our results provide a framework for prioritizing restoration and advancing global biodiversity and climate goals.

Dating past landscape evolution with volcanic ash layers

Authors: Emily Topness

Journal: Nature Reviews Earth & Environment · DOI: 10.1038/s43017-026-00788-w

Matched topics: landscape evolution

Abstract not available.

Statistics

Metric	Count
Journals searched	11
Total papers fetched	142
Passed deterministic filter	10
After LLM relevance filtering	4
Rejected (not relevant)	6

Papers by journal

Journal	Papers
Geophysical Research Letters	1
Nature Communications	2
Nature Reviews Earth & Environment	1

Filtering Criteria

Topics: hydrology, hydrologic model, river, runoff, streamflow, reservoir, water management, flood, drought, seasonal, land surface model, climate change, hydropower, surface water, irrigation, earth system model, estuary, coastal, freshwater discharge, river plume, ocean biogeochemistry, marine heatwave, paleohydrology, paleoclimate, Quaternary, Holocene, Pleistocene, fluvial geomorphology, river terrace, loess, drainage network, river capture, landscape evolution, luminescence dating

Fields: engineering, environmental science, computer science, geology, geography