INFLUENCIA DE LA TEMPERATURA SUPERFICIAL Y DE LA PRECIPITACIÓN SOBRE LA VARIABILIDAD TEMPORAL Y ESPACIAL EN LOS MANGLARES DEL SISTEMA COSTERO CANANEIA-IGUAPE, SP

Autores/as

DOI:

https://doi.org/10.12957/geouerj.2025.87058

Palabras clave:

correlação linear, NDVI, EVI, LAI, mangue, atributos climáticos

Resumen

El objetivo de este estudio es analizar la variación de los índices de vegetación obtenidos en los manglares del Sistema Costero Cananeia-Iguape, y relacionarlos con los atributos climáticos para el período de 2003 a 2022. Para esta investigación se utilizaron datos de índices de vegetación como NDVI, EVI y LAI, datos de temperatura superficial y de precipitación. Los datos se procesaron en la nube, realizándose la correlación temporal en Google Colab y la espacial en Google Earth Engine. Los resultados indican que la correlación temporal anual entre los índices de vegetación y los atributos climáticos no presenta una correlación significativa. Sin embargo, la correlación temporal estacional fue significativa para NDVI y precipitación en julio, agosto y septiembre - JAS (r = - 0,54) y octubre, noviembre y diciembre - OND (r = - 0,47) , EVI y precipitación en OND (r = - 0,50) y LAI y temperatura superficial en JFM (r = 0,72) y JAS (r = 0,45). En correlación espacial, el sector al oeste del Parque Estatal Ilha do Cardoso y en el curso inferior del río Ribeira de Iguape fueron las áreas que tuvieron la correlación más significativa con los atributos climáticos. Estos resultados son prometedores para el análisis de los atributos climáticos en relación con su impacto en los manglares. Sin embargo, se necesita una comprensión más profunda de las respuestas tardías de los índices de vegetación para entender mejor cómo responden los manglares a los cambios en los atributos climáticos.

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Biografía del autor/a

Jakeline Baratto, Universidade de São Paulo

Doutora em Geografia pela Universidade Federal de São Maria

Pós-Doutorado em Geografia no Departamento de Geografia da Universidade de São Paulo

Nádia Gilma Beserra de Lima, Universidade de São Paulo

Doutora em Ciências pelo Programa de Pós-graduação em Geografia Física, da Universidade de São Paulo. Pós-doutorado na Escola de Artes, Ciências e Humanidades, da Universidade de São Paulo (EACH/USP)

Emerson Galvani, Univerisidade de São Paulo

Doutor em Agronomia (Energia na Agricultura) [Botucatu] pela Universidade Estadual Paulista Júlio de Mesquita Filho

Professor do Departamento de Geografia da Universidade de São Paulo

Citas

ALONGI, Daniel.M. The impact of climate change on mangrove forests. Current Climate Change Reports 1:p. 30–39. 2015.

ALONGI, Daniel.M. Present state and future of the world’s mangrove forests. Environ. Conserv. 29, p. 331–49. 2002.

ALONGI, Daniel .M. Climate Change and Mangroves. In Mangroves: Biodiversity, Livelihoods and Conservation; Springer Nature: Singapore, 2022; pp. 175–198, ISBN 9789811905193

ALVARES, Clayton Alcarde; STAPE, José Luiz; SENTELHAS, Paulo Cesar; GONÇALVES, José Leonardo de Moraes; SPAROVEK, Gerd. Köppen's climate classification map for Brazil. Meteorologische Zeitschrift, v. 22, n. 6, p. 711-728. dez. 2013.

ALQASEMI, Abduldaem S. et al. Retrieval of monthly maximum and minimum air temperature using MODIS aqua land surface temperature data over the United Arab Emirates. Geocarto International, v. 37, n. 11, p. 2996-3013, 2022. DOI: 10.1080/10106049.2020.1837261. Disponível em: https://doi.org/10.1080/10106049.2020.1837261. Acesso em: 22 out. 2025.

ASBRIDGE, Emma; LUCAS, Richard; ACCAD, Arnon; DOWLING, Ralph. Mangrove Response to Environmental Changes Predicted Under Varying Climates: case studies from australia. Current Forestry Reports, v. 1, n. 3, p. 178-194.jul. 2015.

BARATTO, Jakeline ; DE BODAS TERASSI, Paulo Miguel ; DE BESERRA DE LIMA, Nádia Gilma ; GALVANI, Emerson. Precipitation Anomalies and Trends Estimated via Satellite Rainfall Products in the Cananeia-Iguape Coastal System, Southeast Region of Brazil. Climate, v. 12, p. 22. 2024.

BECK, Hylke E.; ZIMMERMANN, Niklaus E.; MCVICAR, Tim R.; VERGOPOLAN, Noemi; BERG, Alexis; WOOD, Eric F.. Present and future Köppen-Geiger climate classification maps at 1-km resolution. Scientific Data, v. 5, n. 1, p. 1-12. 30. out. 2018.

BIMRAH, Kanika; DASGUPTA, Rajarshi; HASHIMOTO, Shizuka; SAIZEN, Izuru; DHYANI, Shalini. Ecosystem Services of Mangroves: a systematic review and synthesis of contemporary scientific literature. Sustainability, v. 14, n. 19, p. 12051. set. 2022.

CONTI, Luis Américo; ARAðJO, Carlos Alberto Sampaio de; CUNHA-LIGNON, Marília. Spatial database modeling for mangrove forests mapping; example of two estuarine systems in Brazil. Modeling Earth Systems And Environment, v. 2, n. 2, p. 1-12, 12. abr. 2016.

CHIRPS. Climate Hazards Center. InfraRed Precipitation with station data (CHIRPS). Disponível em: <https://www.chc.ucsb.edu/data>. Acesso em : 17 jan. 2022.

CENIMA. Centro Nacional de Monitoramento e Informações Ambientais. 2021. Disponível em: https://www.gov.br/ibama/pt-br/composicao/quem-e-quem/centros/cenima. Acesso em: 21 maio 2022.

CHEN, Yang; MA, Long; LIU, Tingxi; HUANG, Xing; SUN, Guohua. The Synergistic Effect between Precipitation and Temperature for the NDVI in Northern China from 2000 to 2018. Applied Sciences,v. 13, n. 14, p. 8425. jul. 2023.

CUNHA-LIGNON, M.; KAMPEL, M. ; MENGHINI, R. P. ; CINTRON, G. ; SCHAFFER--NOVELLI, Y. ; DAHDOUH-GUEBAS, F. Mangrove Forests Submitted to Depositional Processes and Salinity Variation Investigated using satellite images and vegetation structure surveys. Journal of Coastal Research, v. I, p. 344-348, 2011.

DIDAN, K.. MYD13Q1 MODIS/Aqua Vegetation Indices 16-Day L3 Global 250m SIN Grid V006. 2015, distributed by NASA EOSDIS Land Processes Distributed Active Archive Center. Acesso em: 25 maio. 2024.

FAZLIOGLU, Fatih; WAN, Justin S. H.; CHEN, Luzhen. Latitudinal shifts in mangrove species worldwide: evidence from historical occurrence records. Hydrobiologia,, v. 847, n. 19, p. 4111-4123.set. 2020.

GALVANI, Emerson.; LIMA, Nádia. Gilma Beserra. de; ALVES, Rogério. Roger. Variabilidade e tendência das precipitações no litoral Sul de São Paulo. Ravista Geonorte, v. 3 nº 8, p. 1163. 2012.

GALVANI, Emerson.; LIMA, Nádia Gilma. Beserra.. de ; CUNHA-LIGNON, Marília. Análise microclimática de manguezais em Unidades de Conservação de Proteção Integral e de Uso Sustentável. In: Perez Filho, A., Reis, R.R.. (Org.). Os Desafios da Geografia Física na Fronteira do Conhecimento. 1ed.Campinas: INSTITUTO DE GEOCIÊNCIAS - UNICAMP, 2017, p. 1457-1468.

GALVANI, Emerson; EMILIANO, Valéria Machado.; BARATTO, Jakeline. Comparação dos principais sistemas de classificação climática aplicado à bacia hidrográfica do rio Ribeira de Iguape. In: NOVAIS, Giuliano Tostes. Climas do Brasil:: classificação climática e aplicações. Porto Alegre: Totalbooks, 2023. p. 266-273.

GARAI, Sanjoy; KHATUN, Masjuda; SINGH, Ronak; SHARMA, Jassi; PRADHAN, Minakshi; RANJAN, Ashish; RAHAMAN, Sk Mujibar; KHAN, Mohammed Latif; TIWARI, Sharad. Assessing correlation between Rainfall, normalized difference Vegetation Index (NDVI) and land surface temperature (LST) in Eastern India. Safety In Extreme Environments, v. 4, n. 2, p. 119-127. jun. 2022.

GESSNER, Ursula; NAEIMI, Vahid; KLEIN, Igor; KUENZER, Claudia; KLEIN, Doris; DECH, Stefan. The relationship between precipitation anomalies and satellite-derived vegetation activity in Central Asia. Global And Planetary Change, v. 110, p. 74-87, nov. 2013.

GETZNER, Michael; ISLAM, Muhammad Shariful. Ecosystem Services of Mangrove Forests: results of a meta-analysis of economic values. International Journal Of Environmental Research And Public Health, [S.L.], v. 17, n. 16, p. 5830. ago. 2020.

GITAU, Peter N.; DUVAIL, Stéphanie; VERSCHUREN, Dirk. Evaluating the combined impacts of hydrological change, coastal dynamics and human activity on mangrove cover and health in the Tana River delta, Kenya. Regional Studies In Marine Science, v. 61, p. 102898, jul. 2023.

GUHA, Subhanil; GOVIL, Himanshu. Land surface temperature and normalized difference vegetation index relationship: a seasonal study on a tropical city. Sn Applied Sciences,, v. 2, n. 10, p. 1-14.set. 2020.

HERZ, R. Manguezais do Brasil. São Paulo: IO/USP /CIMR, 1991. 227p

HUETE, Alfredo R.. Vegetation Indices, Remote Sensing and Forest Monitoring. Geography Compass, v. 6, n. 9, p. 513-532. set. 2012.

KARSCH, Gwendolyn; MUKUL, Sharif A.; SRIVASTAVA, Sanjeev Kumar. Annual Mangrove Vegetation Cover Changes (2014–2020) in Indian Sundarbans National Park Using Landsat 8 and Google Earth Engine. Sustainability, v. 15, n. 6, p. 5592.mar. 2023.

KHAN, Z. ;JAVED, A. Correlation between land surface temperature (LST) and normalized difference vegetation index(NDVI) in Wardha Valley Coalfield, Maharashtra, Central India. Nova Geodesia, 2(3):53. 2022.

HAN, Weijie; CHEN, Donghua; LI, Hu; CHANG, Zhu; CHEN, Jian; YE, Lizao; LIU, Saisai; WANG, Zuo. Spatiotemporal Variation of NDVI in Anhui Province from 2001 to 2019 and Its Response to Climatic Factors. Forests, v. 13, n. 10, p. 1643. out. 2022.

KUMARI, Nikul; SRIVASTAVA, Ankur; DUMKA, Umesh Chandra. A Long-Term Spatiotemporal Analysis of Vegetation Greenness over the Himalayan Region Using Google Earth Engine. Climate,v. 9, n. 7, p. 109. jun. 2021.

LIMA, Nádia.Gilma Beserra. de; GALVANI, Emerson.Análise da temperatura do solo e do ar no manguezal do litoral sul do estado de São Paulo. Ravista Geonorte, v. 3 nº 9, p. 1256-1266.2012.

LIMA, Nádia Gilma Beserra de; GALVANI, Emerson; FALCÃO, Rita Monteiro; CUNHA-LIGNON, Marília. Air temperature and canopy cover of impacted and conserved mangrove ecosystems: a study of a subtropical estuary in brazil. Journal Of Coastal Research, v. 165, p. 1152-1157. jan. 2013.

LIMA, Nádia Gilma Beserra de; GALVANI, Emerson. Interaction of climatic attributes in the mangroves of the south coast of São Paulo and their relation with climatic controls. CONFINS (PARIS), v. 1, p. 1-23. 2018.

LIMA, Nádia Gilma Beserra de.; CUNHA-LIGNON, Marília.; GALVANI, Emerson. Microclimatic analysis of mangroves in two distinct categories of Protected Areas and conserved status. SOCIEDADE & NATUREZA (UFU. ONLINE), v. 33, p. 57483. 2021.

LIMA, Nádia Gilma Beserra de; CUNHA-LIGNON, Marília; MARTINS, Alécio; ARMANI, Gustavo; GALVANI, Emerson. Impacts of Extreme Weather Event in Southeast Brazilian Mangrove Forest. Atmosphere, v. 14, n. 8, p. 1195. jul. 2023.

LIMA, Nádia Gilma Beserra de et al. A interferência de eventos extremos nos manguezais do sistema costeiro cananeia-iguape. In: SIMPÓSIO BRASILEIRO DE GEOGRAFIA FÍSICA APLICADA, 20.; ENCONTRO LUSO-AFRO-AMERICANO DE GEOGRAFIA FÍSICA E AMBIENTE, 4., 2024, Campina Grande. Anais [...]. Campina Grande: Realize Editora, 2024. Disponível em: https://editorarealize.com.br/artigo/visualizar/118134. Acesso em: 22 out. 2025.

LUO, Qin; LI, Zhen; HUANG, Zijian; ABULAITI, Yierxiati; YANG, Qiong; YU, Shixiao. Retrieval of Mangrove leaf area index and its response to typhoon based on WorldView-3 image. Remote Sensing Applications: Society and Environment, v. 30, p. 100931. abr. 2023.

MAHIQUES, Michel Michaelovitch DE; BURONE, Leticia.; FIGUEIRA, Rubens.Cesar.Lopes.; LAVENÉRE-WANDERLEY, Ana Aamélia de.Oliveira.; CAPELLARI, Benjamim.; ROGACHESKI, Carlos.Eduardo.; BARROSO, Cássia Pianca.; DOS SANTOS, Leornardo.Augusto.Samaritano.; CORDERO, Luisa.Mariutti.; CUSSIOLI, Mariana.Coppede. Anthropogenic influences in a lagoonal environment: A multiproxy approach at the valo grande mouth, Cananéia-Iguape system (SE Brazil). Braz. J. Oceanogr. 2009, 57, 325–337.

MYNENI, R., Y. KNYAZIKHIN, T. Park. MODIS/Terra Leaf Area Index/FPAR 8-Day L4 Global 500m SIN Grid V061. 2021, distributed by NASA EOSDIS Land Processes Distributed Active Archive Center. Acesso em: 26 maio 2024.

MUTANGA, Onisimo; KUMAR, Lalit. Google Earth Engine Applications. Remote Sensing, 11(5), 591, 2019.

MONTEIRO, Carlos .Augusto Figueredo. A dinâmica climática e as chuvas no Estado de São Paulo: estudo geográfico sob forma de Atlas. São Paulo: Instituto de Geografia, Universidade de São Paulo, 1973. 130 p.

NOVAIS, Gustavo Tostes; GALVANI, Emerson. Uma tipologia de classificação climática aplicada ao estado de São Paulo. Revista do Departamento de Geografia (USP), v.42, p.2-21, 2022.

NDUNGU, Lilian; OWARE, Maungu; OMONDI, Steve; WAHOME, Anastasia; MUGO, Robinson; ADAMS, Emily. Application of MODIS NDVI for Monitoring Kenyan Rangelands Through a Web Based Decision Support Tool. Frontiers In Environmental Science,, v. 7, p. 1-12. dez. 2019.

NEPITA-VILLANUEVA, Marta Rocío; BERLANGA-ROBLES, César Alejandro; RUIZ-LUNA, Arturo; BARCENAS, J. Héctor Morales. Spatio-temporal mangrove canopy variation (2001–2016) assessed using the MODIS enhanced vegetation index (EVI). Journal Of Coastal Conservation, v. 23, n. 3, p. 589-597. abr. 2019.

OSLAND, Michael J.; DAY, Richard H.; HALL, Courtney T.; BRUMFIELD, Marisa D.; DUGAS, Jason L.; JONES, William R. Mangrove expansion and contraction at a poleward range limit: Climate extremes and land-ocean temperature gradients. Ecological Society of America, p. 125-137. 2016.

OSLAND, Michael J.; FEHER, Laura C.; GRIFFITH, Kereen T.; CAVANAUGH, Kyle C.; ENWRIGHT, Nicholas M.; DAY, Richard H.; STAGG, Camille L.; KRAUSS, Ken W.; HOWARD, Rebecca J.; GRACE, James B.. Climatic controls on the global distribution, abundance, and species richness of mangrove forests. Ecological Monographs, 87, p.341–359. 2016b.

PRADHAN, Biswajeet; YOON, Sungsoo; LEE, Sanghun. Examining the Dynamics of Vegetation in South Korea: an integrated analysis using remote sensing and in situ data. Remote Sensing, [S.L.], v. 16, n. 2, p. 300, 11 jan. 2024. MDPI AG. http://dx.doi.org/10.3390/rs16020300.

PONZONI, Flávio. Jorge.; SHIMABULURO, Yosio.Edemir.; KUPLICH, Tatiana. Mora. Sensoriamento Remoto da Vegetação. 2.ed.atualizada e ampliada. São Paulo: Oficina de Texto, 2012.

RAIHAN, Asif; ALI, Tarig; MORTULA, Md; GAWAI, Rahul. Spatiotemporal Analysis of the Impacts of Climate Change on UAE Mangroves. Journal Of Sustainable Development Of Energy, Water And Environment Systems,v. 11, n. 3, p. 1-19. set. 2023.

REBOITA, Michelle Simões.; KRUSCHE, Nisia; AMBRIZZI, Tércio.; PORFÍRIO DA ROCHA, Rosmeri. Entendendo o Tempo e o Clima na América do Sul. Terra E Didat. 8, 34–50, 2012.

RENDANA, Muhammad; IDRIS, Wan Mohd Razi; RAHIM, Sahibin Abdul; ABDO, Hazem Ghassan; ALMOHAMAD, Hussein; DUGHAIRI, Ahmed Abdullah Al; ALBANAI, Jasem A.. Effects of the built-up index and land surface temperature on the mangrove area change along the southern Sumatra coast. Forest Science And Technology, v. 19, n. 3, p. 179-189. jun. 2023.

RIBEIRO, João. Batista. Miranda.; ROCHA, Edson. José. Paulinho. da.; FERREIRA, Marco. Antonio.Vieira.; OLIVEIRA, Paulo.Jorge de.; MATOS, Arthur. Características do balanço de energia no manguezal de Bragança-PA e alterações no fluxo de calor no solo em função do desmatamento. GEOGRAFIA, Rio Claro, v. 32, n. 3, p. 683-698. 2007.

ROSS, Jurandyr.Luciano.Sanches. The Morphogenesis of the Ribeira Do Iguape Basin and Environmental Systems.. GEOUSP—Espaço E Tempo 2002, 12, 21–46.

RUAN, Linlin; YAN, Min; ZHANG, Li; FAN, Xiangshun; YANG, Haoxiang. Spatial-temporal NDVI pattern of global mangroves: a growing trend during 2000⠳2018. Science Of The Total Environment, v. 844, p. 157075. out. 2022.

SANT'ANNA NETO, João. Lima. Ritmo climático e a gênese das chuvas na Zona Costeira Paulista. In: III Encuentro de Geógrafos de América Latina, Toluca. Memórias. Toluca: UNAM, 1991. v. 2. p. 49-66. 1991.

SANTOS, Luciana Cavalcanti Maia; MATOS, Humberto Reis; SCHAEFFER-NOVELLI, Yara; CUNHA-LIGNON, Marília; BITENCOURT, Marisa Dantas; KOEDAM, Nico; DAHDOUH-GUEBAS, Farid. Anthropogenic activities on mangrove areas (São Francisco River Estuary, Brazil Northeast): a gis-based analysis of cbers and spot images to aid in local management. Ocean & Coastal Management, v. 89, p. 39-50. mar. 2014.

SHARMA, Manish; BANGOTRA, Pargin; GAUTAM, Alok Sagar; GAUTAM, Sneha. Sensitivity of normalized difference vegetation index (NDVI) to land surface temperature, soil moisture and precipitation over district Gautam Buddh Nagar, UP, India. Stochastic Environmental Research And Risk Assessment, v. 36, n. 6, p. 1779-1789. 2021.

TAILLIE, Paul J; ROMAN-CUESTA, Rosa; LAGOMASINO, David; CIFUENTES-JARA, Miguel; FATOYINBO, Temilola; OTT, Lesley e; POULTER, Benjamin. Widespread mangrove damage resulting from the 2017 Atlantic mega hurricane season. Environmental Research Letters, v. 15, n. 6, p. 064010. maio 2020.

TARIFA, J.R. Unidades climáticas dos maciços litorâneos da Juréia-Itatins. In: Estação Ecológica Juréia-Itatins: Ambiente Físico, Flora e Fauna. Org. Otavio A.V. Marques; Wânia Duleba. São Paulo: Holos. 2004. p. 42 a 50.

USGS (United States Geological Survey). Imagens Moderate Resolution Imaging Spectroradiometer (MODIS). Disponível em: <https://lpdaac.usgs.gov/products/myd13q1v061/. >Acesso:10 agosto 2022.

WAN, Z., S. HOOK, G. HULLEY. MYD11A2 MODIS/Aqua Land Surface Temperature/Emissivity 8-Day L3 Global 1km SIN Grid V006. 2015, distributed by NASA EOSDIS Land Processes Distributed Active Archive Center, https://doi.org/10.5067/MODIS/MYD11A2.006. Acesso em: 26 maio 2024.

WANG, J.; RICH, P. M.; PRICE, K. P.. Temporal responses of NDVI to precipitation and temperature in the central Great Plains, USA. International Journal Of Remote Sensing, [S.L.], v. 24, n. 11, p. 2345-2364.jan. 2003.

WARD, R.D.; D.A. FRIESS, R.H. DAY; R.A. MACKENZIE. Impacts of climate change on mangrove ecosystems: a region by region overview. Ecosystem Health and Sustainability 2:e01211, 2016.

WATSON, D. J. Comparative physiological studies on growth of field crops: I. Variation in net assimilation rate and leaf area between species and varieties, and within and between years. Annals of Botany, v. 11, p. 41-76. 1947

YUE, W; XU, J; TAN, W; XU, L. The relationship between land surface temperature and NDVI with remote sensing: application to shanghai landsat 7 etm+ data. International Journal Of Remote Sensing, v. 28, n. 15, p. 3205-3226. jul. 2007.

YU, P. et al. Global spatiotemporally continuous MODIS land surface temperature dataset. Scientific Data, v. 9, p. 1–15, 2022. DOI: 10.1038/s41597-022-01214-8. Disponível em: https://doi.org/10.1038/s41597-022-01214-8. Acesso em: 22 out. 2025.

ZHAO, Demei; ZHEN, Jianing; ZHANG, Yinghui; MIAO, Jing; SHEN, Zhen; JIANG, Xiapeng; WANG, Junjie; JIANG, Jincheng; TANG, Yuzhi; WU, Guofeng. Mapping mangrove leaf area index (LAI) by combining remote sensing images with PROSAIL‐D and XGBoost methods. Remote Sensing In Ecology And Conservation, v. 9, n. 3, p. 370-389. out. 2022.

XUEFEI; Liujie; GUOTAO, Dong; HUAZHU, Xue. Spatial-temporal variation of NDVI and its responses to precipitation in the upper of Heihe from 2000 to 2019. Iop Conference Series: Earth and Environmental Science, v. 783, n. 1, p. 012148. maio 2021.

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2025-12-17

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BARATTO, Jakeline; BESERRA DE LIMA, Nádia Gilma; GALVANI, Emerson. INFLUENCIA DE LA TEMPERATURA SUPERFICIAL Y DE LA PRECIPITACIÓN SOBRE LA VARIABILIDAD TEMPORAL Y ESPACIAL EN LOS MANGLARES DEL SISTEMA COSTERO CANANEIA-IGUAPE, SP. Geo UERJ, Rio de Janeiro, v. 48, 2025. DOI: 10.12957/geouerj.2025.87058. Disponível em: https://www.e-publicacoes.uerj.br/geouerj/article/view/87058. Acesso em: 7 abr. 2026.