Global evidence for joint effects of multiple natural and anthropogenic drivers on soil nitrogen cycling

Global soil nitrogen (N) cycling remains poorly understood due to its complex driving mechanisms. Here, we present a comprehensive analysis of global soil δ15N, a stable isotopic signature indicative of the N input–output balance, using a machine‐learning approach on 10,676 observations from 2670 si...

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Veröffentlicht in:	Global change biology 2024-05, Vol.30 (5), p.e17309-n/a
Hauptverfasser:	Zhang, Yong, Cheng, Xiaoli, Terrer, Cesar, Choi, Woo‐Jung, Chen, Ji, Luo, Yiqi, Ciais, Philippe
Format:	Artikel
Sprache:	eng
Schlagworte:	Anthropogenic factors Climate Climate models Climatic conditions Continental interfaces, environment Cycles Empirical analysis Latitude Machine Learning Models, Theoretical natural and anthropogenic forcings Nitrogen Nitrogen - analysis Nitrogen - metabolism Nitrogen Cycle nitrogen isotope Nitrogen Isotopes - analysis Ocean, Atmosphere plant traits Rayleigh theory Sciences of the Universe Soil - chemistry Soil properties
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