Evaluation of evapotranspiration variations as a function of relief and terrain exposure through multivariate statistical analysis

Bosquilia, Raoni Wainer Duarte; Neale, Christopher M. U.; Duarte, Sérgio Nascimento; Longhi, Solon Jonas; Ferraz, Sílvio; Muller‐Karger, Frank E.; McCarthy, Matthew J.

doi:10.1016/j.ecohyd.2018.11.001

Cited by 5 publications

(3 citation statements)

References 21 publications

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“…Annual evapotranspiration of areas with rare periods of water deficit in tropical forests, specifically in Brazil, can reach 70% of the incident rainfall (Bruijnzeel 1990). The various evapotranspiration rates of Brazilian forests (Dias et al 2015, Bosquilia et al 2018, Mello et al 2019 provide material to understand water outflows to the atmosphere in watersheds with forest cover, as well as their impact on the volume of water that leaves the corresponding watercourses.…”

Section: Iforest -Biogeosciences and Forestrymentioning

confidence: 99%

Method for the analysis of the relationship between forest cover and streamflow in watersheds

Ferraz¹,

Zanetti²,

Cecílio³

et al. 2021

iForest

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Biogeosciences and Forestry Biogeosciences and ForestryMethod for the analysis of the relationship between forest cover and streamflow in watersheds Fabrina Teixeira Ferraz (1) , Sidney Sara Zanetti (2) , Roberto Avelino Cecílio (2) , Dulcinéia de Carvalho (1) , Francielle Rodrigues de Oliveira (2) The relationship between forest cover and streamflow of watersheds is complex and still controversial in the scientific literature. To investigate such relationship we propose an alternative method which requires the following information for each watershed: percentage of forest cover, annual rainfall, average specific streamflow (qave), and minimum mean specific streamflow in seven consecutive days (q7). As a case study, we analyzed a dataset composed by 25 watersheds located in the Espírito Santo State (ESS), Brazil. We conducted simple and multiple linear regression analyses as well as partial correlation analysis between the above parameters. To reduce the effect of heterogeneity of environmental factors, watersheds with similar characteristics in term of rainfall, drainage area, and both rainfall and drainage area were grouped by cluster analysis, and the above regression and correlation analysis was repeated on each group. Our results using the whole dataset showed that forest cover has a negative relationship with watershed streamflow. The analysis of homogeneous groups of watersheds showed that the average minimum streamflow during seven days (q7) was more sensitive to the presence of forest cover, showing a negative relationship, especially in watersheds with low annual rainfall, while in areas with high precipitation, the annual rainfall showed a strong influence on the hydrological responses of watersheds, masking the effect of forest cover. The proposed method may be easily extended to other areas, and allows the inclusion of other relevant environmental variables according to specific cases.

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Section: Iforest -Biogeosciences and Forestrymentioning

confidence: 99%

Method for the analysis of the relationship between forest cover and streamflow in watersheds

Ferraz¹,

Zanetti²,

Cecílio³

et al. 2021

iForest

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“…The widespread application of remote sensing for ET estimation has yielded diverse research across various spatial scales. Studies have been conducted at global [21,22] and continental levels [23,24], within specific biomes [25][26][27], individual states [28,29], river basins of varying sizes [30][31][32], small experimental units [33,34], and even focusing on specific Landsat scenes [35,36]. This heterogeneity in scale and modeling approaches has prompted numerous comparisons of ET estimation methods, both with each other and against in situ data [7,[37][38][39], seeking to identify the most accurate and effective techniques.…”

Section: Introductionmentioning

confidence: 99%

Evapotranspiration Assessment by Remote Sensing in Brazil with Focus on Amazon Biome: Scientometric Analysis and Perspectives for Applications in Agro-Environmental Studies

Castagna,

Barbosa,

Martim

et al. 2024

Hydrology

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The Amazon biome plays a crucial role in the hydrological cycle, supplying water vapor for the atmosphere and contributing to evapotranspiration (ET) that influences regional humidity across Brazil and South America. Remote sensing (RS) has emerged as a valuable tool for measuring and estimating ET, particularly in the data-scarce Amazon region. A scientometric analysis was conducted to identify the most used RS-based ET product or model in Brazil and its potential application in the Amazon. Scientometrics allows for the quantitative analysis of scientific output; this study identified the most widely used RS product in the Amazon biome. Articles published in Web of Science, Scielo, and Scopus databases up to 2022 were searched using the keywords “Evapotranspiration”, “Remote Sensing”, and “Brazil”. After initial screening, 140 relevant articles were subjected to scientometric analysis using the Bibliometrix library in RStudio 2023.06.1+524. These articles, published between 2001 and 2022, reveal a collaborative research landscape involving 600 authors and co-authors from 245 institutions, with most studies originating from Brazil’s Southeast and North (Amazon) regions. Notably, within the 12 studies focusing on ET by RS in the Amazon biome, applications were diverse, encompassing river basins, climate change, El Niño, and deforestation, with the MOD16 product being the most frequently employed.

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“…Heterogeneous vegetation, terrain, soils, and moisture availability make two critical components (surface energy and aerodynamic processes) of ET highly changeable and poorly understood (Allen, Pereira, Howell, & Jensen, ; Bosquilia, Neale, Duarte, Longhi, & Ferraz, S. F. d. B., Muller‐Karger, F. E.,, & McCarthy, M. J., ). Climate change and human activities are two major factors affecting the global hydrological cycle (i.e., ET, streamflow, and soil moisture) in humid (Wang, Tetzlaff, & Soulsby, ), arid (Dinpashoh, Jhajharia, Fakheri‐Fard, Singh, & Kahya, ), and semiarid (Doody & Benyon, ; Legesse, Vallet‐Coulomb, & Gasse, ) regions.…”

Section: Introductionmentioning

confidence: 99%

Impacts of climate variability and landscape pattern change on evapotranspiration in a grassland landscape mosaic

Cao

et al. 2019

Hydrological Processes

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Evaluation of evapotranspiration variations as a function of relief and terrain exposure through multivariate statistical analysis

Cited by 5 publications

References 21 publications

Method for the analysis of the relationship between forest cover and streamflow in watersheds

Method for the analysis of the relationship between forest cover and streamflow in watersheds

Evapotranspiration Assessment by Remote Sensing in Brazil with Focus on Amazon Biome: Scientometric Analysis and Perspectives for Applications in Agro-Environmental Studies

Impacts of climate variability and landscape pattern change on evapotranspiration in a grassland landscape mosaic

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