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Variability of Water Use Efficiency Associated with Climate Change in the Extreme West of Bahia

Author

Listed:
  • Dimas de Barros Santiago

    (Postgraduate Program in Meteorology, Academic Unit of Atmospheric Sciences (UACA), Federal University of Campina Grande (UFCG), Campina Grande 58429-140, Brazil)

  • Humberto Alves Barbosa

    (Laboratory of Satellite Image Analysis and Processing (LAPIS), Institute of Atmospheric Sciences, Campus A. C. Simões, Federal University of Alagoas, Maceió 57072-900, Brazil
    Institute of Atmospheric Sciences (ICAT), Federal University of Alagoas (UFAL), Maceió 57072-260, Brazil)

  • Washington Luiz Félix Correia Filho

    (Institute of Mathematics, Statistics and Physics (IMEF), Federal University of Rio Grande (FURG), Rio Grande 96203-900, Brazil)

  • José Francisco de Oliveira-Júnior

    (Institute of Atmospheric Sciences (ICAT), Federal University of Alagoas (UFAL), Maceió 57072-260, Brazil
    Postgraduate Program in Biosystems Engineering (PGEB), Federal Fluminense University (UFF), Niterói 24220-900, Brazil)

  • Franklin Paredes-Trejo

    (Laboratory of Satellite Image Analysis and Processing (LAPIS), Institute of Atmospheric Sciences, Campus A. C. Simões, Federal University of Alagoas, Maceió 57072-900, Brazil
    PCBA Department of Civil Engineering, University of the Western Plains Ezequiel Zamora, San Carlos 2201, Venezuela)

  • Catarina de Oliveira Buriti

    (National Semi-Arid Institute, Ministry of Science, Technology, Innovations and Communications, Campina Grande 58434-700, Brazil)

Abstract

Water has become more important in agricultural implementations over the years, as has the need for water management. Thus, Water Use Efficiency (WUE) has been used as an alternative form of detecting the variability of water management based on the carbon–water cycle. The study aimed to map and quantify the spatio-temporal distribution of WUE based on its interactions with environmental changes. It focused on an agricultural area in the westernmost region of Bahia, Northeast Brazil (NEB). For WUE estimation, data from Collection 6 MODIS Gross Primary Productivity (GPP) and Evapotranspiration (ET) products with a spatial resolution of 0.05° × 0.05° were obtained from the Earth Explorer website. Subsequently, annual WUE anomalies were calculated based on the 2001–2019 period. The results obtained indicated that the highest values of GPP (580 gC/m 2 ), ET (3000 mm), and WUE (3.5 gC/mm·m 2 ) occurred in agricultural areas, associated with cultural treatments and insertion of irrigation, which helped in the higher WUE values and consequently increased agricultural productivity in the study region. In addition, there was a marked influence of the phases of the climate variability mode—El Niño-Southern Oscillation (ENSO)—on the annual variability of the WUE, with a reduction of 96% during the La Niña of 2016 (an increase of 89% during El Niño of 2005). During El Niños, vegetation had greater efficiency resulting from the adaptation of vegetation in maintaining the carbon–water balance, using water more efficiently. However, unlike Las Niñas, with excessive precipitation there is an interference in the WUE, which interferes with the absorption of radiation and nutrients for the biophysical processes of vegetation and agriculture and, consequently, agricultural production. The use of WUE for agriculture is extremely important, especially for Brazil and countries with an economy based on primary production. This information on the way vegetation (native or agricultural) responds to interactions with the environment aids in decision-making about water management, possibly lowering losses or agricultural damage caused by a lack of water.

Suggested Citation

  • Dimas de Barros Santiago & Humberto Alves Barbosa & Washington Luiz Félix Correia Filho & José Francisco de Oliveira-Júnior & Franklin Paredes-Trejo & Catarina de Oliveira Buriti, 2022. "Variability of Water Use Efficiency Associated with Climate Change in the Extreme West of Bahia," Sustainability, MDPI, vol. 14(23), pages 1-13, November.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:23:p:16004-:d:989246
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    References listed on IDEAS

    as
    1. Shannon M. Sterling & Agnès Ducharne & Jan Polcher, 2013. "The impact of global land-cover change on the terrestrial water cycle," Nature Climate Change, Nature, vol. 3(4), pages 385-390, April.
    2. Dimas de Barros Santiago & Humberto Alves Barbosa & Washington Luiz Félix Correia Filho & José Francisco de Oliveira-Júnior, 2022. "Interactions of Environmental Variables and Water Use Efficiency in the Matopiba Region via Multivariate Analysis," Sustainability, MDPI, vol. 14(14), pages 1-13, July.
    3. Zhu, Qiuan & Jiang, Hong & Peng, Changhui & Liu, Jinxun & Wei, Xiaohua & Fang, Xiuqin & Liu, Shirong & Zhou, Guomo & Yu, Shuquan, 2011. "Evaluating the effects of future climate change and elevated CO2 on the water use efficiency in terrestrial ecosystems of China," Ecological Modelling, Elsevier, vol. 222(14), pages 2414-2429.
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    1. Tito, Richard & Cruz, Rudi & Nina, Alex & Limonchi, Fabian & Puma-Vilca, Beisit L. & Salinas, Norma & Cosio, Eric G., 2024. "Evapotranspiration, carbon dynamics and water use efficiency in a drip-irrigated olive orchard in arid coastal western South America," Agricultural Water Management, Elsevier, vol. 297(C).
    2. Franklin Paredes-Trejo & Humberto Alves Barbosa & Gabriel Antunes Daldegan & Ingrid Teich & César Luis García & T. V. Lakshmi Kumar & Catarina de Oliveira Buriti, 2023. "Impact of Drought on Land Productivity and Degradation in the Brazilian Semiarid Region," Land, MDPI, vol. 12(5), pages 1-19, April.

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