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Spatio-Temporal Response of Vegetation Indices to Rainfall and Temperature in A Semiarid Region

Author

Listed:
  • Edith Olmos-Trujillo

    (Doctorado en Ciencias de la Ingeniería, Universidad Autónoma de Zacatecas, Campus siglo XXI, Zacatecas 98160, Mexico)

  • Julián González-Trinidad

    (Doctorado en Ciencias de la Ingeniería, Universidad Autónoma de Zacatecas, Campus siglo XXI, Zacatecas 98160, Mexico)

  • Hugo Júnez-Ferreira

    (Doctorado en Ciencias de la Ingeniería, Universidad Autónoma de Zacatecas, Campus siglo XXI, Zacatecas 98160, Mexico)

  • Anuard Pacheco-Guerrero

    (Doctorado en Ciencias de la Ingeniería, Universidad Autónoma de Zacatecas, Campus siglo XXI, Zacatecas 98160, Mexico)

  • Carlos Bautista-Capetillo

    (Doctorado en Ciencias de la Ingeniería, Universidad Autónoma de Zacatecas, Campus siglo XXI, Zacatecas 98160, Mexico)

  • Claudia Avila-Sandoval

    (Doctorado en Ciencias de la Ingeniería, Universidad Autónoma de Zacatecas, Campus siglo XXI, Zacatecas 98160, Mexico)

  • Eric Galván-Tejada

    (Doctorado en Ciencias de la Ingeniería, Universidad Autónoma de Zacatecas, Campus siglo XXI, Zacatecas 98160, Mexico)

Abstract

In this research, vegetation indices (VIs) were analyzed as indicators of the spatio-temporal variation of vegetation in a semi-arid region. For a better understanding of this dynamic, interactions between vegetation and climate should be studied more widely. To this end, the following methodology was proposed: (1) acquire the NDVI, EVI, SAVI, MSAVI, and NDMI by classification of vegetation and land cover categories in a monthly period from 2014 to 2018; (2) perform a geostatistical analysis of rainfall and temperature; and (3) assess the application of ordinary and uncertainty least squares linear regression models to experimental data from the response of vegetation indices to climatic variables through the BiDASys (bivariate data analysis system) program. The proposed methodology was tested in a semi-arid region of Zacatecas, Mexico. It was found that besides the high values in the indices that indicate good health, the climatic variables that have an impact on the study area should be considered given the close relationship with the vegetation. A better correlation of the NDMI and EVI with rainfall and temperature was found, and similarly, the relationship between VIs and climatic factors showed a general time lag effect. This methodology can be considered in management and conservation plans of natural ecosystems, in the context of climate change and sustainable development policies.

Suggested Citation

  • Edith Olmos-Trujillo & Julián González-Trinidad & Hugo Júnez-Ferreira & Anuard Pacheco-Guerrero & Carlos Bautista-Capetillo & Claudia Avila-Sandoval & Eric Galván-Tejada, 2020. "Spatio-Temporal Response of Vegetation Indices to Rainfall and Temperature in A Semiarid Region," Sustainability, MDPI, vol. 12(5), pages 1-18, March.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:5:p:1939-:d:328006
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    References listed on IDEAS

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    1. Xia Cui & Cerian Gibbes & Jane Southworth & Peter Waylen, 2013. "Using Remote Sensing to Quantify Vegetation Change and Ecological Resilience in a Semi-Arid System," Land, MDPI, vol. 2(2), pages 1-23, April.
    2. Yuan Qiu & Tong Liu & Chi Zhang & Bin Liu & Borong Pan & Shixin Wu & Xi Chen, 2018. "Mapping Spring Ephemeral Plants in Northern Xinjiang, China," Sustainability, MDPI, vol. 10(3), pages 1-10, March.
    3. Tomislav Malvić & Josip Ivšinović & Josipa Velić & Jasenka Sremac & Uroš Barudžija, 2020. "Increasing Efficiency of Field Water Re-Injection during Water-Flooding in Mature Hydrocarbon Reservoirs: A Case Study from the Sava Depression, Northern Croatia," Sustainability, MDPI, vol. 12(3), pages 1-13, January.
    4. Opeyemi A. Zubair & Wei Ji & Olusola Festus, 2019. "Urban Expansion and the Loss of Prairie and Agricultural Lands: A Satellite Remote-Sensing-Based Analysis at a Sub-Watershed Scale," Sustainability, MDPI, vol. 11(17), pages 1-12, August.
    5. Ge Li & Juanle Wang & Yanjie Wang & Haishuo Wei & Altansukh Ochir & Davaadorj Davaasuren & Sonomdagva Chonokhuu & Elbegjargal Nasanbat, 2019. "Spatial and Temporal Variations in Grassland Production from 2006 to 2015 in Mongolia Along the China–Mongolia Railway," Sustainability, MDPI, vol. 11(7), pages 1-14, April.
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