Results 221 to 230 of about 2,028,175 (309)

A 1-km Dataset of Water Consumption and Irrigation for Major Grain Crops in the Yellow River Basin Based on the Crop Water Production Function. [PDF]

Sci Data
Wang Z, Cheng C, Dai K, Wei Z, Li B.
europepmc   +1 more source

Three‐Stage Fluid‐Assisted Dual‐Mode Janus E‐Skin for Thermally Comfortable Multiplexed SERS Sweat Analysis and Strain Monitoring

Rare Metals, Volume 45, Issue 10, October 2026.
ABSTRACT Wearable sweat sensors face persistent trade‐offs between multiplexed detection, signal stability, and wearing comfort. Here, we present a Janus electronic skin (e‐skin) with dual‐mode functionality, offering both thermal and moisture comfort.
Zhi‐Mei Mu, Fan Yang, Jian Tang, Jian‐An Huang, Guo‐An Liu, Bin‐Bin Zhang, Xing‐Shuang Zhang, Meng Wang, Dong‐Wei Li, Chao Zhang, Xiu Liang, Kai‐Chen Xu, Chang‐Zhou Yuan   +12 more
wiley   +1 more source

A dynamic QCA of new quality productivity driving high quality economic development in the yellow river basin. [PDF]

Sci Rep
Shi Y, Liu X, Zhang J.
europepmc   +1 more source

Paleo‐Hydrological Drought in the South Saskatchewan River Basin: Implications for Water Allocation and Management

JAWRA Journal of the American Water Resources Association, Volume 62, Issue 5, October 2026.
ABSTRACT The South Saskatchewan River Basin (SSRB) in southern Alberta is the only major Canadian watershed where water supplies are effectively fully allocated. This was the first region targeted for land‐use and water‐supply planning under new provincial legislation.
Mohammad Zare, David Sauchyn, David M. Meko   +2 more
wiley   +1 more source

Assessing eco-environmental quality and its drivers in the Shandong section of the Yellow River Basin with an improved remote sensing ecological index. [PDF]

Sci Rep
Wang P, Tseng CP, Fan Y, Wei Q, Qiao M, Li X, An R.   +6 more
europepmc   +1 more source

Dynamic Land Use Change in SWAT+: A Novel Application of Scenario Decision Tables

JAWRA Journal of the American Water Resources Association, Volume 62, Issue 5, October 2026.
ABSTRACT Land use and land cover (LULC) changes significantly impact hydrological processes, yet their dynamic representation in hydrological models remains a challenge. This paper introduces and pioneers the use of the newly implemented capability of SWAT+ to simulate dynamic LULC changes using “land use scenario decision tables”.
Lucas Alcamo, Jeff Arnold, Timo Schaffhauser, Natalja Cerkasova, Markus Disse   +4 more
wiley   +1 more source

Scale-dependent drivers of ecosystem service supply-flow-demand couplings in the Shanxi Yellow River Basin, China. [PDF]

iScience
Wu S, Li R, Yan Y, Du Z, Wu Z, Ma K.
europepmc   +1 more source

A Genomic Tool to Tackle Cryptic Diversity Demonstrates the Potential for Off‐Target Use of GT‐Seq Panels

Molecular Ecology Resources, Volume 26, Issue 7, October 2026.
ABSTRACT A comprehensive understanding of life history is vital to successful species conservation and management. When different life history stages are accompanied by considerable morphological or cryptic variation, such as the egg and larval phases exhibited by most fishes, genomic tools are essential for identifying species so that early‐life ...
Amanda S. Ackiss, Mark R. Vinson, Ann J. Ropp, Kristen M. Gruenthal, Trevor J. Krabbenhoft, Joseph V. Siegel, Wendylee Stott, Daniel L. Yule, Wesley A. Larson   +8 more
wiley   +1 more source

Morphometric and Paleobiological Insights Into Pleistocene Sicilian Wolf Populations

Acta Zoologica, Volume 107, Issue 4, Page 409-431, October 2026.
ABSTRACT The Pleistocene wolves (Canis lupus) from Sicily represent one of the few known insular populations of this species from that time period. Despite their potential relevance for understanding carnivore adaptations in insular contexts, no dedicated study has previously investigated their morphology and evolutionary significance.
Domenico Tancredi, Carolina Di Patti, Sabrina Lo Brutto, Matteo Cammarata   +3 more
wiley   +1 more source

Dominant drivers of spatiotemporal variations in carbon and water use efficiency across the Yellow River Basin revealed by interpretable machine learning. [PDF]

Front Plant Sci
Li G, Hao W, Han L, Feng M, Li Y, Yi Z, Lu Y, Zuo K.   +7 more
europepmc   +1 more source