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<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/"><rdf:Description rdf:about="https://repozitorij.uni-lj.si/IzpisGradiva.php?id=151737"><dc:title>Towards a better understanding of pathways of multiple cooccurring erosion processes on global farmland</dc:title><dc:creator>Borrelli,	Pasquale	(Avtor)
	</dc:creator><dc:creator>Alewell,	Christine	(Avtor)
	</dc:creator><dc:creator>Yang,	Jae E.	(Avtor)
	</dc:creator><dc:creator>Bezak,	Nejc	(Avtor)
	</dc:creator><dc:creator>Chen,	Yixian	(Avtor)
	</dc:creator><dc:creator>Fenta,	Ayele Almaw	(Avtor)
	</dc:creator><dc:creator>Fendrich,	Arthur Nicolaus	(Avtor)
	</dc:creator><dc:creator>Gupta,	Surya	(Avtor)
	</dc:creator><dc:creator>Matthews,	Francis	(Avtor)
	</dc:creator><dc:creator>Modugno,	Sirio	(Avtor)
	</dc:creator><dc:creator>Haregewey,	Nigussie	(Avtor)
	</dc:creator><dc:creator>Robinson,	David A.	(Avtor)
	</dc:creator><dc:creator>Tan,	Florence	(Avtor)
	</dc:creator><dc:creator>Vanmaercke,	Matthias	(Avtor)
	</dc:creator><dc:creator>Verstraeten,	G.	(Avtor)
	</dc:creator><dc:creator>Vieira,	Diana C.S.	(Avtor)
	</dc:creator><dc:creator>Panagos,	Panos	(Avtor)
	</dc:creator><dc:subject>modelling</dc:subject><dc:subject>multi-model approach</dc:subject><dc:subject>water</dc:subject><dc:subject>wind</dc:subject><dc:subject>gully</dc:subject><dc:subject>tillage</dc:subject><dc:subject>crop harvesting</dc:subject><dc:description>Soil erosion is a complex process involving multiple natural and anthropic agents, causing the soil to deteriorate. Here we report, using a multi-model approach, an estimate of the spatial patterns of farmland susceptibility to wind, water, gully, tillage, and root crops harvesting erosion and where the co-occurrence of these processes is predicted. In addition, we mapped the locations where these multiple concurrent soil erosion processes may be expected to intersect with projected dry/wet climate changes by 2070. Of a modelled 1.48 billion hectares (B ha) of global cropland, our results indicate that 0.56 B ha (~36% of the total area) are highly susceptible (classes 4 and 5) to a single erosion process, 0.27 B ha (~18% of the total area) to two processes and 0.02 B ha (1.4% of the total area) to three or more processes. An estimated 0.82 B ha of farmland are susceptible to possible increases in water (0.68 B ha) and wind (0.14 B ha) erosion. We contend that the presented set of estimates represent a basis for enhancing the basic knowledge on the geography of soil erosion. The generated knowledge on multiple erosion processes is a useful starting point to help the decision-makers dealing with ex-post and ex-ante policy evaluation of the UN Sustainable Development Goal 15 activities. Scientifically, the outcomes serve to support the ongoing stratified monitoring and modelling activities within the UN-Global Soil Erosion mapping project lead by the Food and Agriculture Organization of the United Nations.</dc:description><dc:date>2023</dc:date><dc:date>2023-10-18 10:50:17</dc:date><dc:type>Članek v reviji</dc:type><dc:identifier>151737</dc:identifier><dc:language>sl</dc:language></rdf:Description></rdf:RDF>
