Climate Features Affecting the Management of the Madeira River Sustainable Development Reserve, Brazil
Matheus Gomes Tavares (),
Sin Chan Chou,
Nicole Cristine Laureanti,
Priscila da Silva Tavares,
Jose Antonio Marengo,
Jorge Luís Gomes,
Gustavo Sueiro Medeiros and
Francis Wagner Correia
Additional contact information
Matheus Gomes Tavares: National Institute for Space Research (INPE), Presidente Dutra Rod. (BR-116), km 39, Cachoeira Paulista 12630-000, SP, Brazil
Sin Chan Chou: National Institute for Space Research (INPE), Presidente Dutra Rod. (BR-116), km 39, Cachoeira Paulista 12630-000, SP, Brazil
Nicole Cristine Laureanti: National Institute for Space Research (INPE), Presidente Dutra Rod. (BR-116), km 39, Cachoeira Paulista 12630-000, SP, Brazil
Priscila da Silva Tavares: National Institute for Space Research (INPE), Presidente Dutra Rod. (BR-116), km 39, Cachoeira Paulista 12630-000, SP, Brazil
Jose Antonio Marengo: National Center for Monitoring and Early Warning of Natural Disasters (CEMADEN), Estrada Doutor Altino Bondesan, 500—Distrito de Eugênio de Melo, São José dos Campos 12247-060, SP, Brazil
Jorge Luís Gomes: National Institute for Space Research (INPE), Presidente Dutra Rod. (BR-116), km 39, Cachoeira Paulista 12630-000, SP, Brazil
Gustavo Sueiro Medeiros: National Institute for Space Research (INPE), Presidente Dutra Rod. (BR-116), km 39, Cachoeira Paulista 12630-000, SP, Brazil
Francis Wagner Correia: Department of Meteorology, State University of Amazonas (UEA), Av. Djalma Batista, 3578, Flores, Manaus 69050-010, AM, Brazil
Geographies, 2025, vol. 5, issue 3, 1-13
Abstract:
Sustainable Development Reserves are organized units in the Amazon that are essential for the proper use and sustainable management of the region’s natural resources and for the livelihoods and economy of the local communities. This study aims to provide a climatic characterization of the Madeira River Sustainable Development Reserve (MSDR), offering scientific support to efforts to assess the feasibility of implementing adaptation measures to increase the resilience of isolated Amazon communities in the face of extreme climate events. Significant statistical analyses based on time series of observational and reanalysis climate data were employed to obtain a detailed diagnosis of local climate variability. The results show that monthly mean two-meter temperatures vary from 26.5 °C in February, the coolest month, to 28 °C in August, the warmest month. Monthly precipitation averages approximately 250 mm during the rainy season, from December until May. July and August are the driest months, August and September are the warmest months, and September and October are the months with the lowest river level. Cold spells were identified in July, and warm spells were identified between July and September, making this period critical for public health. Heavy precipitation events detected by the R80, Rx1day, and Rx5days indices show an increasing trend in frequency and intensity in recent years. The analyses indicated that the MSDR has no potential for wind-energy generation; however, photovoltaic energy production is viable throughout the year. Regarding the two major commercial crops and their resilience to thermal stress, the region presents suitable conditions for açaí palm cultivation, but Brazil nut production may be adversely affected by extreme drought and heat events. The results of this study may support research on adaptation strategies that includethe preservation of local traditions and natural resources to ensure sustainable development.
Keywords: climatic characterization; extreme climate events; trends (search for similar items in EconPapers)
JEL-codes: Q1 Q15 Q5 Q53 Q54 Q56 Q57 (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
https://www.mdpi.com/2673-7086/5/3/36/pdf (application/pdf)
https://www.mdpi.com/2673-7086/5/3/36/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jgeogr:v:5:y:2025:i:3:p:36-:d:1708837
Access Statistics for this article
Geographies is currently edited by Ms. Fannie Xu
More articles in Geographies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().