TY - JOUR
T1 - Agroclimatic zoning of the state of Nayarit, Mexico
AU - Mendoza-Cariño, Mayra
AU - Bautista-Olivas, Ana Laura
AU - Mendoza-Cariño, Daniel
AU - Ortiz-Solorio, Carlos Alberto
AU - Duarte-Tagles, Héctor
AU - Cruz-Flores, Gerardo
N1 - Publisher Copyright:
© 2023 Universidad Nacional Autónoma de México, Instituto de Ciencias de la Atmósfera y Cambio Climático
PY - 2023
Y1 - 2023
N2 - Agriculture productivity in the state of Nayarit has decreased since 1998. The aim of this study was to undertake the agroclimatic zoning across the state in order to determine the type of crops more convenient to render the highest yields, based on the Papadakis climate classification system. Hydric and thermal characteristics pertaining to the geographic distribution of crops were used, as well as indexes derived from meteorological data provided by 25 climate stations. There were three climatic groups identified: tropical, subtropical and cold land, having four, three and two subgroups each, respectively. The first two climatic groups support winter cereals such as oat (Avena sativa L.), barley (Hordeum vulgare L.), rye (Secale cereale L.) and wheat (Triticum aestivum L.); and summer cereals such as corn (Zea mays L.), millet (Panicum italicum L.), rice (Oryza sativa L.) and sorghum (Sorghum bicolor [L.] Moench), in addition to banana (Musa paradisiaca L.), citrus, potato (Solanum tuberosum L.) and sugar cane (Saccharum officinarum L.). On the other hand, corn and potato were found in the cold land climatic group. Based on the methodology of Papadakis, for each climatic sub-group identified, a set of recommendation managements were given to improve yields (crop type, sowing season, irrigation, fertilizing and other agrochemicals application) and to avoid crop damage. An agroclimatic-zoning map was generated by using the inverse distance weighted interpolation method.
AB - Agriculture productivity in the state of Nayarit has decreased since 1998. The aim of this study was to undertake the agroclimatic zoning across the state in order to determine the type of crops more convenient to render the highest yields, based on the Papadakis climate classification system. Hydric and thermal characteristics pertaining to the geographic distribution of crops were used, as well as indexes derived from meteorological data provided by 25 climate stations. There were three climatic groups identified: tropical, subtropical and cold land, having four, three and two subgroups each, respectively. The first two climatic groups support winter cereals such as oat (Avena sativa L.), barley (Hordeum vulgare L.), rye (Secale cereale L.) and wheat (Triticum aestivum L.); and summer cereals such as corn (Zea mays L.), millet (Panicum italicum L.), rice (Oryza sativa L.) and sorghum (Sorghum bicolor [L.] Moench), in addition to banana (Musa paradisiaca L.), citrus, potato (Solanum tuberosum L.) and sugar cane (Saccharum officinarum L.). On the other hand, corn and potato were found in the cold land climatic group. Based on the methodology of Papadakis, for each climatic sub-group identified, a set of recommendation managements were given to improve yields (crop type, sowing season, irrigation, fertilizing and other agrochemicals application) and to avoid crop damage. An agroclimatic-zoning map was generated by using the inverse distance weighted interpolation method.
KW - Agroecological zoning
KW - Humidity pattern
KW - Papadakis’ climate classification system
UR - http://www.scopus.com/inward/record.url?scp=85139300055&partnerID=8YFLogxK
U2 - 10.20937/ATM.53002
DO - 10.20937/ATM.53002
M3 - Artículo
AN - SCOPUS:85139300055
SN - 0187-6236
VL - 36
SP - 123
EP - 142
JO - Atmosfera
JF - Atmosfera
IS - 1
ER -