dor_id: 4128770
506.#.#.a: Público
590.#.#.d: Los artículos enviados a la revista "Atmósfera", se juzgan por medio de un proceso de revisión por pares
510.0.#.a: Consejo Nacional de Ciencia y Tecnología (CONACyT); Sistema Regional de Información en Línea para Revistas Científicas de América Latina, el Caribe, España y Portugal (Latindex); Scientific Electronic Library Online (SciELO); SCOPUS, Web Of Science (WoS); SCImago Journal Rank (SJR)
561.#.#.u: https://www.atmosfera.unam.mx/
650.#.4.x: Físico Matemáticas y Ciencias de la Tierra
336.#.#.b: article
336.#.#.3: Artículo de Investigación
336.#.#.a: Artículo
351.#.#.6: https://www.revistascca.unam.mx/atm/index.php/atm/index
351.#.#.b: Atmósfera
351.#.#.a: Artículos
harvesting_group: RevistasUNAM
270.1.#.p: Revistas UNAM. Dirección General de Publicaciones y Fomento Editorial, UNAM en revistas@unam.mx
590.#.#.c: Open Journal Systems (OJS)
270.#.#.d: MX
270.1.#.d: México
590.#.#.b: Concentrador
883.#.#.u: https://revistas.unam.mx/catalogo/
883.#.#.a: Revistas UNAM
590.#.#.a: Coordinación de Difusión Cultural
883.#.#.1: https://www.publicaciones.unam.mx/
883.#.#.q: Dirección General de Publicaciones y Fomento Editorial
850.#.#.a: Universidad Nacional Autónoma de México
856.4.0.u: https://www.revistascca.unam.mx/atm/index.php/atm/article/view/53002/46874
100.1.#.a: Mendoza Cariño, Mayra; Bautista Olivas, Ana Laura; Mendoza Cariño, Daniel; Ortíz Solorio, Carlos Alberto; Duarte Tagles, Héctor; Cruz Flores, Gerardo
524.#.#.a: Mendoza Cariño, Mayra, et al. (2023). Agroclimatic zoning of the state of Nayarit, México. Atmósfera; Vol. 36 No. 1, 2023; 123-142. Recuperado de https://repositorio.unam.mx/contenidos/4128770
245.1.0.a: Agroclimatic zoning of the state of Nayarit, México
502.#.#.c: Universidad Nacional Autónoma de México
561.1.#.a: Instituto de Ciencias de la Atmósfera y Cambio Climático, UNAM
264.#.0.c: 2023
264.#.1.c: 2023-04-07
653.#.#.a: agroecological zoning; humidity pattern; Papadakis’ climate classification system
506.1.#.a: La titularidad de los derechos patrimoniales de esta obra pertenece a las instituciones editoras. Su uso se rige por una licencia Creative Commons BY-NC 4.0 Internacional, https://creativecommons.org/licenses/by-nc/4.0/legalcode.es, para un uso diferente consultar al responsable jurídico del repositorio por medio del correo electrónico editora@atmosfera.unam.mx
884.#.#.k: https://www.revistascca.unam.mx/atm/index.php/atm/article/view/53002
001.#.#.#: 022.oai:ojs.pkp.sfu.ca:article/53002
041.#.7.h: eng
520.3.#.a: Agriculture productivity in the state of Nayarit has decreased since 1998. The aim of the 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 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. 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 and 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 Papadakis’ methodology, for each climatic sub-group identified, a set of recommendation management were given to improve yields: crop type, sowing season, irrigation, fertilizing and other agrochemicals application; and to avoid crop damage. Agroclimatic zoning map was generated by using the inverse distance weighted interpolation method. This study may contribute to the successful planning of crops across the region and thus improving the state’s economy.
773.1.#.t: Atmósfera; Vol. 36 No. 1 (2023); 123-142
773.1.#.o: https://www.revistascca.unam.mx/atm/index.php/atm/index
022.#.#.a: ISSN electrónico: 2395-8812; ISSN impreso: 0187-6236
310.#.#.a: Trimestral
300.#.#.a: Páginas: 123-142
264.#.1.b: Instituto de Ciencias de la Atmósfera y Cambio Climático, UNAM
doi: https://doi.org/10.20937/ATM.53002
handle: 3425c426d26add0e
harvesting_date: 2023-06-20 16:00:00.0
856.#.0.q: application/pdf
file_creation_date: 2022-09-26 19:40:08.0
file_modification_date: 2022-09-26 19:40:14.0
file_name: 5fe810bde67df4b614c2a4c0708e8aa40618f51d1950e721ada95f33e1bf7e37.pdf
file_pages_number: 20
file_format_version: application/pdf; version=1.4
file_size: 2142390
last_modified: 2023-06-20 16:00:00
license_url: https://creativecommons.org/licenses/by-nc/4.0/legalcode.es
license_type: by-nc
No entro en nada
No entro en nada 2