Abstract
This study was conducted between 2001 and 2016 and aimed to evaluate the effect of interactions between meteorological variables, pasture burning, and pasture degradation on milk production in dairy cattle in the micro-region of Itapetinga, located in the Brazilian Atlantic Forest. The results showed that in 2015, with the occurrence of a strong El Niño event, above-average indices of air temperature, evapotranspiration, and heat foci, and below-average levels of rain and air humidity were observed, which impacted 38.97% of the micro-region’s extremely degraded pastures. The Mann–Kendall test showed decreasing trends in milk production (DPL), temperature and humidity index (UTI), food consumption (RCA), and design rate (TC). These decreases were significant in 11 of the 14 municipalities that make up the micro-region. In correlation analysis, UTI, DPL, RCA, and TC presented very strong correlations among themselves for all the municipalities, with the average air temperature being the variable with the best correlation among these indexes. These results indicate that the development of this activity is still dependent on climatic conditions, thereby directly influencing milk production in the micro-region. Evaluating the interactions between climatic conditions and productivity is of great importance for the sustainability of livestock production as the degradation of pastureland necessitates the search for new production areas, thereby directly impacting biodiversity through the suppression of forest remnants, such as those of the Atlantic Forest.
Similar content being viewed by others
Data availability
Manuscript has no associated data.
References
ADAB - AGÊNCIA ESTADUAL DE DEFESA AGROPECUÁRIA DA BAHIA (2016) Relatório Técnico: impacto econômico da seca na microrregião de Itapetinga 2016, 2017. 1:1–45
Adams C, Borges Z, Moretto EM, Futemma C (2020). Governança ambiental no Brasil: acelerando em direção aos objetivos de desenvolvimento sustentável ou olhando pelo retrovisor?. Cad Gest Púb Cidad 25(81):1–13. https://doi.org/10.12660/cgpc.v25n81.81403
Agreement P (2015) Unfccc. I: Proposal by the President (Draft Decision)(United Nations Office, Geneva, Switzerland, 2015). https://ieaghg.org/docs/General_Docs/IEAGHG_Presentations/COP-21_Summary_v5.pdf. Accessed 26 June 2021
Allen RG, Pereira LS, Raes D, Smith M (1998) FAO irrigation and drainage paper No. 56. Rome: FAO56(97):1–333. http://www.climasouth.eu/sites/default/files/FAO%2056.pdf. Accessed 26 June 2021
Alvares CA, Stape JL, Sentelhas PC, Gonçalves JDM, Sparovek G (2013) Köppen’s climate classification map for Brazil. METEOROL Z 22(6):711–728. https://doi.org/10.1127/0941-2948/2013/0507
Andrade RG, Rodrigues CAG, Sanches IDA, Torresan FE, Quartaroli CF (2013) Uso de técnicas de sensoriamento remoto na detecção de processos de degradação de pastagens. R Eng Agric-Rev 21(3):234–243. https://doi.org/10.13083/reveng.v21i3.368
Bahia, G. do E. da. Informação Básica dos Municípios Baianos: Região Sudoeste (1994) Secretaria de Planejamento Ciências e Tecnologia (SEPLANTEC). CEN ESTA INFO (CEI) SALVADOR: 1994
Berry IL, Shanklin MD, Johnson HD (1964) Dairy shelter design based on milk production decline as affected by temperature and humidity. T ASAE 7(3):329–0331. https://doi.org/10.13031/2013.40772
Bono J, Macedo MCM, Euclides VPB (1996) Alterações nas propriedades químicas de um latossolo sob pastagem cultivada, após queima. In 81 Simpósio Sobre Cerradointernational Symposium on Tropical Savanas. Planaltina: EMBRAPA-CPAC
Brasil. Secretaria de Orçamento Federal, Ministério da Economia (2020) Painel do Orçamento Federal. Série Histórica da Execução Orçamentária - Orçamentos Fiscais e da Seguridade. Anos 2019–2020. https://www1.siop.planejamento.gov.br/QvAJAXZfc/opendoc.htm?document=IAS%2FExecucao_Orcamentaria.qvw&host=QVS%40pqlk04&anonymous=true. Accessed 26 Aug 2021
Brito SSB, CunhaAPM CCC, Alvalá RC, Marengo JA, Carvalho MA (2018) Frequency, duration and severity of drought in the Semiarid Northeast Brazil region. Int J Climatol 38(2):517–529. https://doi.org/10.1002/joc.5225
Buffington DE, Collier RJ, Canton GH (1982) Shede management systems to reduce heat stress for dairy cows. St. Joseph: American Society of Agricultural Engineers 1–16. https://doi.org/10.13031/2013.33845
Cattelam J, Vale MM (2013) Estresse térmico em bovinos. R Porta Cien Vet 108(587–588):96–102. http://www.fmv.ulisboa.pt/spcv/PDF/pdf12_2013/96-102.pdf. Accessed 26 Aug 2021
Caúla RH, Oliveira-Júnior JF, Lyra GB, Delgado RC, Heilbron Filho PFL (2015) Overview of fire foci causes and locations in Brazil based on meteorological satellite data from 1998 to 2011. Environ Earth Sci 74(2):1497–1508. https://doi.org/10.1007/s12665-015-4142-z
Clemente SDS, Oliveira Júnior JFD, Passos Louzada MA (2017) Focos de calor na Mata Atlântica do Estado do Rio de Janeiro. Rev Brasi Met 32:669–677. https://doi.org/10.1590/0102-7786324014
Condé TM, Higuchi N, Lima JNA (2019) Illegal selective logging and forest fires in the northern Brazilian Amazon. Forests 10(1):61. https://doi.org/10.3390/f10010061. Accessed 26 Aug 2021
Curtis PG, Slay CM, Harris NL, Tyukavina A, Hansen MC (2018) Classifying drivers of global forest loss. Science 361:1108–1111. https://doi.org/10.1126/science.aau3445
Dias-filho MB, de Andrade CMS (2006) Pastagens no Trópico Úmido. Embrapa Amazônia Oriental-Documentos (INFOTECA-E). https://www.infoteca.cnptia.embrapa.br/bitstream/doc/378317/1/Doc241.pdf. Accessed 26 Aug 2021
Dias-Filho MB (2014) Diagnóstico das pastagens no Brasil. Embrapa Amazônia Oriental-Documentos (INFOTECA-E). https://www.infoteca.cnptia.embrapa.br/bitstream/doc/986147/1/DOC402.pdf. Accessed 21 Oct 2020
EMBRAPA - EMPRESA BRASILEIRA DE PESQUISA AGROPECUÁRIA (2013) Centro Nacional de Pesquisa de Solos. Sistema brasileiro de classificação de solos. 3.ed. Rio de Janeiro. 353p. http://livimagens.sct.embrapa.br/amostras/00053080.pdf. Accessed 01 Oct 2020
EMBRAPA - EMPRESA BRASILEIRA DE PESQUISA AGROPECUÁRIA (2020) Embrapa Agrobiologia. Pastagens. Seropédica, Rio de Janeiro. https://www.embrapa.br/agrobiologia/pesquisa-e-desenvolvimento/pastagens. Accessed 01–10–2020
FAO (2015) Sustainable livestock farming and climate change in Latin America and the Caribbean. http://www.fao.org/americas/prioridades/ganaderia-sostenible/ru/. Accessed 01 Oct 2020
Ferreira GCV, Neto JAF (2018) Usos de geoprocessamento na avaliação de degradação de pastagens no assentamento ilha do coco, Nova Xavantina-Mato Grosso, Brasil. R Eng Agri 26(2):140–148. https://doi.org/10.13083/reveng.v26i2.894
Fillion R, Bernier M, Paniconi C, Chokmani K, Melis M, Soddu A, Lafortune FX (2016) Remote sensing for mapping soil moisture and drainage potential in semi-arid regions: Applications to the Campidano plain of Sardinia, Italy. Sci Total Environ 543:862–876. https://doi.org/10.1016/j.scitotenv.2015.07.068
Galili T, O’Callaghan A, Sidi J, Sievert C (2018) heatmaply: an R package for creating interactive cluster heatmaps for online publishing. Bioinformatics 34:1600–1602. https://doi.org/10.1093/bioinformatics/btx657
Gao Q, Wan Y, Lin E, Xiong W, Jiangcun W, Wang B, Li W (2006) Grassland degradation in Northern Tibet based on remote sensing data. J Geogr Sci 16(2):165–173. https://doi.org/10.1007/s11442-006-0204-1
Golden Gate Weather Services (2020) ENSO years based on Oceanic Niño Index (ONI). http://ggweather.com/enso/oni.htm. Accessed 20 Oct 2020
Guimarães SO, Costa AA, Vasconcelos Júnior FDC, Silva EMD, Sales DC, Araújo Júnior LMD, Souza SGD (2016) Projeções de Mudanças Climáticas sobre o Nordeste Brasileiro dos Modelos do CMIP5 e do CORDEX. R Bra Met 31(3):337–365. https://doi.org/10.1590/0102-778631320150150
Gushchina D, Dewitte B (2019) Decadal Modulation of the Relationship between Intraseasonal Tropical Variability and ENSO. Clim Dynam 52(3–4):2091–2103. https://doi.org/10.1007/s00382-018-4235-y
Gutiérrez APA, Engle NL, De Nys E, Molejón C, Martins ES (2014) Drought preparedness in Brazil. Weat Cli Extr 3:95–106. https://doi.org/10.1016/j.wace.2013.12.001
Hahn GL, Osburn DD (1969) Feasibility of summer environmental control for dairy cattle based on expected production losses. T ASAE 12(4):448–451. https://doi.org/10.13031/2013.38862
Hahn GL (1993) Bioclimatologia e instalações zootécnicas: aspectos teóricos e aplicados. Funep 1:1–28
Huete AR, Justice CO, Van Leeuwen WJD (1999) MODIS Vegetation Index, Algorithm Theoretical Basis Document. http://modarch.gsfc.nasa.gov/MODIS/ATBD/atbd_mod13.pdf. Accessed 01 Oct 2019
IBGE - Instituto Brasileiro de Geografia e Estatística. Censo Demográfico (2010) https://biblioteca.ibge.gov.br/visualizacao/livros/liv63011.pdf. Accessed 01 Oct 2021
IBGE - Instituto Brasileiro de Geografia e Estatística. Manual técnico da vegetação brasileira (2012) https://biblioteca.ibge.gov.br/visualizacao/livros/liv63011.pdf. Accessed 01 Jun 2020
IBGE - Instituto Brasileiro de Geografia e Estatística. Estatística da Produção Pecuária Março de 2017a (2017a) ftp://ftp.ibge.gov.br/Producao_Pecuaria/Fasciculo_Indicadores_IBGE/abate-leite-couro-ovos_201604caderno.pdf. 01 Oct 2020
IBGE - Instituto Brasileiro de Geografia e Estatística. Censo Agropecuário (2017b) https://www.ibge.gov.br/estatisticas/economicas/agricultura-e-pecuaria/21814-2017b-censo-agropecuario.html?=&t=o-que-e. Accessed 01 Jul 2020
IBGE - Instituto Brasileiro de Geografia e Estatística (2020) Pesquisa da Pecuária Municipal. https://sidra.ibge.gov.br/tabela/3939. Accessed 11 Oct 2020
IPCC (2021) Climate change and land: an IPCC special report on climate change, desertification, land degradation, sustainable land management, food security, and greenhouse gas fluxes in terrestrial ecosystems. In press. https://www.ipcc.ch/site/assets/uploads/2019/08/4.SPM_Approved_Microsite_FINAL.pdf. Accessed 10 Oct 2020
Kendall K (1975) Thin-film peeling-the elastic term. Journal of Physics D: Applied Physics. 8, 1449. https://doi.org/10.1088/0022-3727/8/13/005/pdf. Accessed 10 Oct 2020
Kichel AN, Miranda CHB, Zimmer AH (1999) Degradação de pastagens e produção de bovinos de corte com a integração agricultura x pecuária. Simpósio de produção de gado de Corte, 1, 201–234. https://www.fcav.unesp.br/Home/departamentos/zootecnia/anaclaudiaruggieri/1.-degradacao-de-pastagens-e-ilp.pdf. Accessed 20 Oct 2020
Krasoviskii A, Khabarov N, Pirker J, Kraxner F, Yowargana P, Schepaschenko D, Obersteiner M (2018) Modeling burned areas in Indonesia: the FLAM approach. Forests 9(7):437. https://doi.org/10.3390/f9070437
Hage L (2020) ONGs apontam lentidão do governo em lidar com incêndios no Pantanal. Notícias Uol. https://noticias.uol.com.br/meio-ambiente/ultimas-noticias/redacao/2020/10/02/ongs-apontam-lentidao-do-governo-em-lidar-com-incendios-no-pantanal.htm. Accessed 23 Jan 2021
L’Heureux ML, Takahashi K, Watkins AB, Barnston AG, Becker EJ, Di Liberto TE, ..., Wittenberg AT (2017) Observando e Prevendo o El Niño 2015/16. B Soc Met Ame 98(7):1363–1382. https://doi.org/10.1175/bams-d-16–0009.1
Macedo MCM, Kichel AN, Zimmer AH (2000) Degradação e alternativas de recuperação e renovação de pastagens.Embrapa Gado de Corte-Comunicado Técnico (INFOTECA-E). Available at: https://ainfo.cnptia.embrapa.br/digital/bitstream/item/104646/1/Degradacao-e-alternativas.pdf. Accessed 02–05–2020
Mann HB (1945) Nonparametric tests against trend. E J Econom S 245–259. https://doi.org/10.2307/1907187
Mapbiomas (2020) Coleção 5 da Série Anual de Mapas de Cobertura e Uso de Solo do Brasil. http://mapbiomas.org. Accessed 01 Sept 2020
Maisonnave F (2020) Fogos em nove fazendas destruíram 141 mil hectares no Pantanal. Folha de São Paulo. https://www1.folha.uol.com.br/ambiente/2020/09/fogos-em-nove-fazendas-destruiram-141-mil-hectares-no-pantanal.shtml. Accessed 23 Oct 2020
Marengo JA, Cunha AP, Alves LM (2016) A seca de 2012–15 no semiárido do Nordeste do Brasil no contexto histórico. CLIMANÁLISE, 3(1): 1–6. http://climanalise.cptec.inpe.br/~rclimanl/revista/pdf/30anos/marengoetal.pdf. Accessed 23 Oct 2020
Mitchard ET (2018) The tropical forest carbon cycle and climate change. Nature 559(7715):527–534. https://doi.org/10.1038/s41586-018-0300-2
Moura Zanine A, Santos EM, de Jesus Ferreira D (2005) Possíveis causas da degradação de pastagens. REDVET. 6(11): 1–23. https://www.redalyc.org/pdf/636/63617170011.pdf. Accessed 23 Oct 2020
Panisset JS, Libonati R, Gouveia CMP, Machado-Silva F, França DA, França JRA, Peres LF (2018) Contrasting patterns of the extreme drought episodes of 2005, 2010 and 2015 in the Amazon Basin. Int J Climatol 38:1096–1104. https://doi.org/10.1002/joc.5224
Pettitt AN (1979) A non-parametric approach to the change-point problem. J ROY STAT SOC C-APP 28(2):126–135. https://doi.org/10.2307/2346729
Piazza GA, Vibrans AC, Liesenberg V, Oliveira LZD, Moser P (2016) Mapeamento de remanescentes em estágio inicial de sucessão na floresta subtropical atlântica do sul do Brasil. B CIÊN GEO 22(4):774–789. https://doi.org/10.1590/s1982-21702016000400044
Pinto AES (2020) Maioria dos eurodeputados reprova acordo UE-Mercosul. Folha de São Paulo. https://www1.folha.uol.com.br/mercado/2020/10/parlamento-europeu-atribui-a-bolsonaro-rejeicao-de-acordo-ue-mercosul.shtml. Accessed 23 Oct 2020
Pires MFA (1997) Comportamento, parâmetros fisiológicos e reprodutivos de fêmeas da raça Holandesa confinadas em free stall, durante o verão e o inverno. 1997 (Doctoral dissertation, Tese (Doutorado)–Escola de Veterinária, Universidade Federal de Minas Gerais, Belo Horizonte). https://repositorio.ufmg.br/handle/1843/BUOS-9GYJN5. Accessed 23 Oct 2021
Santana RO, Delgado RC, Schiavetti A (2020) The past, present and future of vegetation in the Central Atlantic Forest Corridor, Brazil. Remote Sens App: Soc Env 20:100357. https://doi.org/10.1016/j.rsase.2020.100357
Santana RO, Delgado RC, Schiavetti A (2021) Modeling susceptibility to forest fires in the Central Corridor of the Atlantic Forest using the frequency ratio method. J Environ Manage 296:113343. https://doi.org/10.1016/j.jenvman.2021.113343
SEEG. SEEG 8 (2020) – Análise das emissões brasileiras de Gases Efeito Estufa e suas implicações para as metas de clima do Brasil 1970–2020. https://seegbr.s3.amazonaws.com/Documentos%20Analiticos/SEEG_8/SEEG8_DOC_ANALITICO_SINTESE_1990-2020.pdf. Accessed 23 Dec 2021
Trenberth KE (1998) Atmospheric moisture residence times and cycling: implications for rainfall rates and climate change. Clim Change 39(4):667–694. https://doi.org/10.1023/A:1005319109110
USGS - United State Geological Survey (2020) https://eros.usgs.gov/sites/all/files/external/eros/about-us/fs20153081.pdf. Accessed 01–02–2020
Weinstein JN (2008) A postgenomic visual icon. Science 319:1772–1773. https://doi.org/10.1126/science.1151888
Wilkinson L, Friendly M (2009) The history of the cluster heat map. A Statist 63:179–184. https://doi.org/10.1198/tas.2009.0033
Xavier AC, King CW, Scanlon BR (2016) Daily gridded meteorological variables in Brazil (1980–2013). I Journ C 36:2644–2659. https://doi.org/10.1002/joc.4518
Acknowledgements
The authors would like to thank the Graduate Program in Development and Environment at the State University of Santa Cruz (PRODEMA/UESC) and the Graduate Program in Environmental Sciences at the State University of Southwest Bahia (UESB), the Coordination for the Improvement of Higher Education Personnel-CAPES, for awarding a doctoral grant, CNPq, for the corresponding author’s productivity grant, The National Aeronautics and Space Administration (NASA), and Alexandre Cândido Xavier for the development of the methodology carried out in this work.
Funding
This study did not receive specific funds.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Consent to participate
The authors declare that this research would be used only for scientific research and would not pass on to the third parties.
Consent for publication
The authors authorize the publication of this manuscript.
Conflict of interest
The authors declare no competing interests.
Additional information
Responsible Editor: Biswajeet Pradhan
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
de Santana, R.O., da Silva, D.P., Delgado, R.C. et al. Dairy production in a region of the Brazilian Atlantic Forest: interactions between climate, fire, vegetation, and pasture degradation. Arab J Geosci 16, 141 (2023). https://doi.org/10.1007/s12517-023-11254-y
Received:
Accepted:
Published:
DOI: https://doi.org/10.1007/s12517-023-11254-y