000			02147cam a2200277zu 4500
001			88864122
003			FRCYB88864122
005			20250107231007.0
006			m o d
007			cr un
008			250108s2018 fr | o|||||0|0|||eng d
020			_a9780128127667
035			_aFRCYB88864122
040			_aFR-PaCSA _ben _c _erda
100	1		_aSingh, Brajesh
245	0	1	_aSoil Carbon Storage _bModulators, Mechanisms and Modeling _c['Singh, Brajesh']
264		1	_bElsevier Science _c2018
300			_a p.
336			_btxt _2rdacontent
337			_bc _2rdamdedia
338			_bc _2rdacarrier
650		0	_a
700	0		_aSingh, Brajesh
856	4	0	_2Cyberlibris _uhttps://international.scholarvox.com/netsen/book/88864122 _qtext/html _a
520			_aSoil Carbon Storage: Modulators, Mechanisms and Modeling takes a novel approach to the issue of soil carbon storage by considering soil C sequestration as a function of the interaction between biotic (e.g. microbes and plants) and abiotic (climate, soil types, management practices) modulators as a key driver of soil C. These modulators are central to C balance through their processing of C from both plant inputs and native soil organic matter. This book considers this concept in the light of state-of-the-art methodologies that elucidate these interactions and increase our understanding of a vitally important, but poorly characterized component of the global C cycle. The book provides soil scientists with a comprehensive, mechanistic, quantitative and predictive understanding of soil carbon storage. It presents a new framework that can be included in predictive models and management practices for better prediction and enhanced C storage in soils.Identifies management practices to enhance storage of soil C under different agro-ecosystems, soil types and climatic conditionsProvides novel conceptual frameworks of biotic (especially microbial) and abiotic data to improve prediction of simulation model at plot to global scaleAdvances the conceptual framework needed to support robust predictive models and sustainable land management practices
999			_c71062 _d71062