KFU. Card publication. Variation of Soil Erosion Estimates Based on Different Maps of Cropland in Belgorod Oblast, Russia

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VARIATION OF SOIL EROSION ESTIMATES BASED ON DIFFERENT MAPS OF CROPLAND IN BELGOROD OBLAST, RUSSIA

Form of presentation

Articles in international journals and collections

Year of publication

2024

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Authors, employees of KFU

Malcev Kirill Aleksandrovich, author

Bibliographic description in the original language

Zhidkin A.P, Rukhovich D.I, Maltsev K.A, Variation of Soil Erosion Estimates Based on Different Maps of Cropland in Belgorod Oblast, Russia//Eurasian Soil Science. - 2024. - Vol.57, Is.4. - P.666-676.

Annotation

Current medium- and small-scale estimates of soil erosion in Russia are very few. At the same time, a favorable situation has now developed for assessing the rates and volumes of soil erosion losses. Ero- sion models adapted to available digital elevation models, various farmland maps, and climate databases are now available to researchers. We have estimated the rates and volumes of soil erosion with the use of different maps of cropland: world cover from the European Space Agency (ESA WC), global land cover and land use from the University of Maryland (GLCLU), the official unified federal information system of agricultural land (UFIS AL) from the Ministry of Agriculture of the Russian Federation, and the original conventionally reference land cover map of Alekseevskii district of Belgorod oblast. It has been found that the UFIS AL map gives cropland areas close to the average from first three maps. Public access maps (ESA WC and GLCLU) give maximum and minimum estimates of cropland, respectively. A comparison with the conventionally reference large-scale map shows that the accuracy of the UFIS AL does not exceed 90%; the accuracy of ESA WC and GLCLU maps is 84 and 83%, respectively. The total area of cropland in Belgorod oblast varies slightly (from 1445 to 1586 thousand hectares), which is favorable for erosion modeling. Deviations from the average rates of soil erosion calculated using different maps of cropland in the region as a whole are up to 7%; for some districts, they reach 27%. Thus, current estimates of soil erosion at the regional level can be carried out with an error of at least 10–15% only as a result of the uncertainty in mapping the boundaries of cropland. For Rus- sia as a whole, data on the area of cropland vary significantly: from 80 to 132 million hectares. Consequently, the use of existing maps of cropland can lead to significant uncertainties in soil erosion estimates averaged at the level of the subjects of the Russian Federation and large regions.

Keywords

WaTEM/SEDEM, UFIS AL, ESA World Cover, Global Land Cover and Land Use, retrospective monitoring of soil and land cover, chernozem, soil degradation

The name of the journal

EURASIAN SOIL SCIENCE

URL

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190518068&doi=10.1134%2fS1064229323603293&partnerID=40&md5=90968b900d0b6606842983082edc44e1

Please use this ID to quote from or refer to the card

https://repository.kpfu.ru/eng/?p_id=299320&p_lang=2

Full metadata record

Field DC	Value	Language
dc.contributor.author	Malcev Kirill Aleksandrovich	ru_RU
dc.date.accessioned	2024-01-01T00:00:00Z	ru_RU
dc.date.available	2024-01-01T00:00:00Z	ru_RU
dc.date.issued	2024	ru_RU
dc.identifier.citation	Zhidkin A.P, Rukhovich D.I, Maltsev K.A, Variation of Soil Erosion Estimates Based on Different Maps of Cropland in Belgorod Oblast, Russia//Eurasian Soil Science. - 2024. - Vol.57, Is.4. - P.666-676.	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/eng/?p_id=299320&p_lang=2	ru_RU
dc.description.abstract	EURASIAN SOIL SCIENCE	ru_RU
dc.description.abstract	Current medium- and small-scale estimates of soil erosion in Russia are very few. At the same time, a favorable situation has now developed for assessing the rates and volumes of soil erosion losses. Ero- sion models adapted to available digital elevation models, various farmland maps, and climate databases are now available to researchers. We have estimated the rates and volumes of soil erosion with the use of different maps of cropland: world cover from the European Space Agency (ESA WC), global land cover and land use from the University of Maryland (GLCLU), the official unified federal information system of agricultural land (UFIS AL) from the Ministry of Agriculture of the Russian Federation, and the original conventionally reference land cover map of Alekseevskii district of Belgorod oblast. It has been found that the UFIS AL map gives cropland areas close to the average from first three maps. Public access maps (ESA WC and GLCLU) give maximum and minimum estimates of cropland, respectively. A comparison with the conventionally reference large-scale map shows that the accuracy of the UFIS AL does not exceed 90%; the accuracy of ESA WC and GLCLU maps is 84 and 83%, respectively. The total area of cropland in Belgorod oblast varies slightly (from 1445 to 1586 thousand hectares), which is favorable for erosion modeling. Deviations from the average rates of soil erosion calculated using different maps of cropland in the region as a whole are up to 7%; for some districts, they reach 27%. Thus, current estimates of soil erosion at the regional level can be carried out with an error of at least 10–15% only as a result of the uncertainty in mapping the boundaries of cropland. For Rus- sia as a whole, data on the area of cropland vary significantly: from 80 to 132 million hectares. Consequently, the use of existing maps of cropland can lead to significant uncertainties in soil erosion estimates averaged at the level of the subjects of the Russian Federation and large regions.	ru_RU
dc.language.iso	ru	ru_RU
dc.subject	WaTEM/SEDEM	ru_RU
dc.subject	UFIS AL	ru_RU
dc.subject	ESA World Cover	ru_RU
dc.subject	Global Land Cover and Land Use	ru_RU
dc.subject	retrospective monitoring of soil and land cover	ru_RU
dc.subject	chernozem	ru_RU
dc.subject	soil degradation	ru_RU
dc.title	Variation of Soil Erosion Estimates Based on Different Maps of Cropland in Belgorod Oblast, Russia	ru_RU
dc.type	Articles in international journals and collections	ru_RU