Summary Tropical peatlands are critical for climate mitigation due to their dual role as major carbon sinks and methane sources. In rainforests, high and stable rainfall supports peat accumulation in tropical climates. However, groundwater‐fed peatlands in seasonally dry tropical ecosystems remain poorly understood, despite their potential importance ...
Larissa S. Verona +11 more
wiley +1 more source
Multi-scale soil moisture dynamics in arid mined Loess Plateau arise from crack evolution and microstructure collapse. [PDF]
Ma T, Tang F, Zhang F.
europepmc +1 more source
Shallow Eastern Indian Ocean Thermocline Hinders ENSO Teleconnection to Southern Africa
Abstract Rainfall peaks during austral summer in southern Africa, where most countries are vulnerable to hydroclimate extremes induced by El Niño‐Southern Oscillation (ENSO). Climate models have struggled to simulate the ENSO impact pattern, with excessive southwestward contraction of El Niño‐induced dry anomalies alongside wet anomalies extending too ...
Haodong Wang +3 more
wiley +1 more source
Effect of Waste Tire Particle Content on the Compressive Behavior and Pore Structure of Loess Subgrade Materials. [PDF]
Cao X, Liu Y, Wu X, Han M, Liu X.
europepmc +1 more source
Performance Study of Alkali-Activated Coal Gangue Powder-Based Geopolymer Flowable Solidified Soil. [PDF]
Yang Y +6 more
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<i>Coleophora cytisicolella</i> sp. nov., a new species (Lepidoptera, Coleophoridae), from Austria and Hungary bred from <i>Chamaecytisus austriacus</i>. [PDF]
Takács AS +8 more
europepmc +1 more source
K isotopes trace temporal silicate weathering intensity. [PDF]
Gou LF +9 more
europepmc +1 more source
Soil desiccation of different microtopographies on a slope in the loess area of northern Shaanxi, China. [PDF]
Gou Q, Zhu Q, Chen J.
europepmc +1 more source
Comprehensive analysis of the influence of loess structure on strength on the Loess Plateau, China. [PDF]
Cheng H +7 more
europepmc +1 more source
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AbstractLinear least squares regression is among the most well known classical methods. This and other parametric least squares regression models do not perform well when the modeling is too restrictive to capture the nonlinear effect the covariates have on the response.
GIJBELS I, PROSDOCIMI I
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