TY - JOUR
T1 - Land use capability classification adaptation in low and intermediate technology farming systems
T2 - A soil erosion indicator
AU - Taveira, Luís R.S.
AU - Weindorf, David C.
AU - De Menezes, Michele D.
AU - de Carvalho, Teotonio Soares
AU - Da Motta, Paulo Emílio F.
AU - Teixeira, Anita Fernanda dos Santos
AU - Curi, Nilton
N1 - Funding Information:
Our thanks to the Instituto Nacional de Colonização e Reforma Agrária (INCRA) for the leave period granted to the first author for intensive study. Thanks are extended to the Soil Science Department (DCS) of Universidade Federal de Lavras (UFLA) for supporting this study. The authors gratefully acknowledge the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES), and Fundação de Amparo à Pesquisa de Minas Gerais (FAPEMIG) for financial support. Gratitude is extended to the team of Cooperativa Agropecuária do Alto Paranaíba (COOPADAP) and to the communities of the settlements Liberdade and Campo Novo for the invaluable collaboration in obtaining field data. The authors gratefully acknowledge the BL Allen Endowment in Pedology at Texas Tech University and the students of DCS/UFLA, Leandro Campos Pinto and Wharley Pereira dos Santos; the latter providing fundamental assistance in collecting field data for this research.
Funding Information:
Our thanks to the Instituto Nacional de Coloniza??o e Reforma Agr?ria (INCRA) for the leave period granted to the first author for intensive study. Thanks are extended to the Soil Science Department (DCS) of Universidade Federal de Lavras (UFLA) for supporting this study. The authors gratefully acknowledge the Conselho Nacional de Desenvolvimento Cient?fico e Tecnol?gico (CNPq), Coordena??o de Aperfei?oamento de Pessoal de N?vel Superior (CAPES), and Funda??o de Amparo ? Pesquisa de Minas Gerais (FAPEMIG) for financial support. Gratitude is extended to the team of Cooperativa Agropecu?ria do Alto Parana?ba (COOPADAP) and to the communities of the settlements Liberdade and Campo Novo for the invaluable collaboration in obtaining field data. The authors gratefully acknowledge the BL Allen Endowment in Pedology at Texas Tech University and the students of DCS/UFLA, Leandro Campos Pinto and Wharley Pereira dos Santos; the latter providing fundamental assistance in collecting field data for this research.
Publisher Copyright:
© 2019 British Society of Soil Science
PY - 2021/1
Y1 - 2021/1
N2 - Land classification assists in identifying optimal crop selection for a given field, and land use capability gives an indication of potential agronomic productivity. However, these approaches are most germane to farming systems managed with high technology. This study sought to adapt land use capability to farming systems managed with low and intermediate levels of technology. Assessment of the classification criteria was conducted using erosion data as a primary indicator. The adapted (and currently in effect) criteria were compared in three regions in Minas Gerais, Brazil, each one representing one of the management levels. Erosion often results from inappropriate practices in land use or management. Therefore, maps of adequacy of land use and management were used to measure how well each one corresponded to the erosion map. The adapted criteria changed the spatial distribution of the classes of land use capability in different ways. Correspondence between the land use/management map and the erosion map increased from 71% to 88.5% when the criteria adapted to an intermediate level of management were used. It also increased from 62.9% to 66.7% when the criteria adapted to a low level of management were considered, better reflecting current erosion. Therefore, adopting adapted classification criteria is recommended for planning land use in locations where farming systems with low and intermediate levels of management are common, requiring re-adaptation and reassessment depending on socio-environmental factors.
AB - Land classification assists in identifying optimal crop selection for a given field, and land use capability gives an indication of potential agronomic productivity. However, these approaches are most germane to farming systems managed with high technology. This study sought to adapt land use capability to farming systems managed with low and intermediate levels of technology. Assessment of the classification criteria was conducted using erosion data as a primary indicator. The adapted (and currently in effect) criteria were compared in three regions in Minas Gerais, Brazil, each one representing one of the management levels. Erosion often results from inappropriate practices in land use or management. Therefore, maps of adequacy of land use and management were used to measure how well each one corresponded to the erosion map. The adapted criteria changed the spatial distribution of the classes of land use capability in different ways. Correspondence between the land use/management map and the erosion map increased from 71% to 88.5% when the criteria adapted to an intermediate level of management were used. It also increased from 62.9% to 66.7% when the criteria adapted to a low level of management were considered, better reflecting current erosion. Therefore, adopting adapted classification criteria is recommended for planning land use in locations where farming systems with low and intermediate levels of management are common, requiring re-adaptation and reassessment depending on socio-environmental factors.
KW - Brazil
KW - erosion
KW - land management
KW - land use capability
UR - http://www.scopus.com/inward/record.url?scp=85078034108&partnerID=8YFLogxK
U2 - 10.1111/sum.12555
DO - 10.1111/sum.12555
M3 - Article
AN - SCOPUS:85078034108
SN - 0266-0032
VL - 37
SP - 164
EP - 180
JO - Soil Use and Management
JF - Soil Use and Management
IS - 1
ER -