A 40-year dataset of soil salinity dynamics (1985-2024) at 100 m resolution in the Western Songnen Plain, China. [PDF]
Wang B, Li X, Gao Z, Jia Z, Liang Z.
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Intelligent Monitoring and Trend Analysis of Surface Soil Organic Carbon in the Black Soil Region Using Multi-Satellite and Field Sampling: A Case Study from Northeast China. [PDF]
Chen C, Dai H, Liu K, Tang Y.
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Machine learning-based mapping of Acidobacteriota and Planctomycetota using 16 S rRNA gene metabarcoding data across soils in Russia. [PDF]
Ivanova EA +4 more
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Predicting surface soil pH spatial distribution based on three machine learning methods: a case study of Heilongjiang Province. [PDF]
Huang P, Huang Q, Wang J, Shi Y.
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Prediction of spatiotemporal evolution and zoning of ecological sensitivity in the upper reaches of Minjiang river, sichuan, China. [PDF]
Ju L, Liu Y, Liu S, Xiang Q, Hu W, Yu P.
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Comparative Evaluation of Inductively Coupled Plasma Mass Spectrometry (ICP-MS) and X-Ray Fluorescence (XRF) Analysis Techniques for Screening Potentially Toxic Elements in Soil. [PDF]
Guagliardi I, Ricca N, Cicchella D.
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A Vanishing Imprint? Modeling the Present and Future Distribution of the Enigmatic <i>Quercus crenata</i> Lam., a Mediterranean Sporadic Tree Species. [PDF]
Antonelli G +5 more
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The influence of nutrients during natural vegetation restoration (NVR) in complicated landscapes and hydrologic conditions has often been debated. This study aimed to clarify how nitrogen (N) and phosphorus (P) runoff influences plant biomass and biodiversity during early restoration stages in gullies.
, Mingming Guo, Muhammad Aurangzeib
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Distribution of Chernozems and Phaeozems in Central Germany during the Neolithic period
Quaternary International, 2019Abstract A well-based knowledge about the former distribution of Chernozems and Phaeozems is necessary to (i) better understand the factors influencing formation and degradation of these highly fertile soils, and (ii) better explain prehistoric settlement patterns that were also determined by natural factors such as soil fertility.
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