Effect of fires on biophysical parameters, energy balance and evapotranspiration in a protected area in the Brazilian Cerrado

Ivo, Israel Oliveira; Biudes, Marcelo Sacardi; Vourlitis, George L.; Machado, Nadja Gomes; Martim, Charles Campoe

doi:10.1016/j.rsase.2020.100342

Cited by 15 publications

(6 citation statements)

References 34 publications

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“…The conversion of native vegetation into pastures or agricultural lands directly influences river seasonality, potentially modifying the hydroclimatology of the Xingu river basin. Several studies indicate that the replacement of native vegetation by other land covers increases water production in the basins, positively impacting the hydrological cycle (Dias et al, 2015;Panday et al, 2015;Ivo et al, 2020;Cabral Júnior et al, 2022).…”

Section: Resultsmentioning

confidence: 99%

“…However, although forests typically present, due to their native characteristics, higher average ET rates, carried out in the Cerrado, during the longest period of the rainy season, described in the months of December to May in the biome, soybean cultivation areas -significant in the Xingu basin -can return higher ET values than native vegetation due to the type of crop maintenance and the distinct seasonal characteristics of the biome, resulting in higher ET rates for agricultural lands compared to forests (Spera et al, 2016;Ivo et al, 2020).…”

Section: Resultsmentioning

confidence: 99%

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Effects of changes in use and soil cover on real evapotranspiration from the creation of a remote sensing product in the Xingu basin

Antunes,

Ribeiro,

Lima

et al. 2024

Rev. Bras. Ciênc. Ambient.

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Several studies have shown that changes in land cover within a given watershed significantly affect the hydrological cycle and its variables. In the Xingu basin, many areas had their vegetation replaced by agricultural crops and pastures, while deforestation has been particularly prevalent in the region known as the Arch of Deforestation. Using remote sensing techniques enable the estimation of biophysical variable ETr for extensive areas, as exemplified in the study basin. Evapotranspiration data used in this work were obtained by creating a product that returns the combined median of the MOD16A2, PML_V2, Terra Climate, GLEAM_v3.3a, FLUXCOM, SSEBop, FLDAS, and ERA5-Land models, with subsequent application of the data provided by Collection 6 of the MapBiomas network, allowing the integration of land use and land cover information with real evapotranspiration estimates for the transition ranges: Forest to Pasture; Forest to Agricultural Land; Cerrado to Pasture; Cerrado to Agricultural Land. The interval defined for the study corresponds to the years 1985 to 2020, according to the historical series available on MapBiomas. After applying programming languages to filter the data, the results underwent statistical analysis to elucidate the effects of soil changes on evapotranspiration. Over the total data period (1985-2020), there was a decrease in forest areas (-16.23%), with conversion to pasture areas, in the order of +12.51%, and agricultural areas, reaching +5.5%. In the same timeframe, evapotranspiration in conversion bands underwent minimal changes, notably from 2009 to 2020, where a decreasing trend was reported of 0.095 mm/month for the “forest to pasture” substitution, and 0.090 mm/month in “Cerrado for pasture”.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Effects of changes in use and soil cover on real evapotranspiration from the creation of a remote sensing product in the Xingu basin

Antunes,

Ribeiro,

Lima

et al. 2024

Rev. Bras. Ciênc. Ambient.

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“…Therefore, there was an increase in the thermal amplitude (DTR), which can be related to different climatic factors, such as topography, vegetation, and atmospheric systems [7]. The replacement of natural cover by deforestation or vegetation burning modifies the pattern of energy and water exchange [41] as the natural cover regulates surface temperature and humidity [42]. The reduction in natural biomass also implies an increase in sensible heat with which to heat the surface and a decrease in the latent heat of surface evapotranspiration [43,44].…”

Section: Precipitation and Temperature Extremes Trendsmentioning

confidence: 99%

Trends in Precipitation and Air Temperature Extremes and Their Relationship with Sea Surface Temperature in the Brazilian Midwest

Santos

Machado²,

Biudes

et al. 2023

Atmosphere

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The Brazilian Midwest has significant spatiotemporal variability in terms of precipitation and air temperature, making it more vulnerable to the occurrence of extreme weather events. The objective of this study is to characterize the trend of extreme climatic events regarding precipitation and air temperature in the Brazilian Midwest, and to analyze their relationship with Pacific and Atlantic Sea Surface Temperature anomalies (SSTAs). We used daily precipitation and air temperature data measured at 24 conventional weather stations. Pacific and Atlantic SSTA data were obtained from the Climate Prediction Center. The frequency of hot extremes had increased, while that of cold extremes had decreased significantly, thus highlighting the consistent warming across the Brazilian Midwest. The precipitation extremes had greater variability than the temperature extremes. Precipitation intensity increased in Amazonia, with no change in annual precipitation volume. The precipitation extremes in the Brazilian Savanna, Pantanal, and the Atlantic Forest did not have a well-defined pattern but indicated a trend towards a decrease in days with intense precipitation events. In general, the Equatorial Pacific and Atlantic Ocean (TNAI and TSAI) SSTAs were negatively correlated with precipitation extreme indices and positively correlated with air temperature extreme indices in the Amazon. However, the North Atlantic SSTAs were positively correlated with precipitation and air temperature extreme indices in the Brazilian Savanna and Pantanal. In addition, the Pacific SSTAs were positively correlated with precipitation intensity in the Atlantic Forest. Thus, the variability of the trends of precipitation and air temperature extreme indices in the Brazilian Midwest was observed, and it was surmised that this measure was significantly related to Pacific and Atlantic SSTAs.

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“…Fire incidence has the potential to consume and modify large areas of vegetation [1], decrease the surface-to-atmosphere water transfer, increase surface warming [2] and release aerosol and gases that contribute to global climate change [3,4]. In Brazil, fires are also an important source of air pollution with harmful health consequences [5].…”

Section: Introductionmentioning

confidence: 99%

Near Real-Time Fire Detection and Monitoring in the MATOPIBA Region, Brazil

Pletsch

Körting

Morita³

et al. 2022

Remote Sensing

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MATOPIBA is an agricultural frontier, where fires are essential for its biodiversity maintenance. However, the increase in its recurrence and intensity, as well as accidental fires can lead to socioeconomic and environmental losses. Due to this dual relationship with fire, near real-time (NRT) fire management is required throughout the region. In this context, we developed, to the best of our knowledge, the first Machine Learning (ML) algorithm based on the GOES-16 ABI sensor able to detect and monitor Active Fires (AF) in NRT in MATOPIBA. To do so, we analyzed the best combination of three ML algorithms and how long it takes to consider a historical time series able to support accurate AF predictions. We used the most accurate combination for the final model (FM) development. The results show that the FM ensures an overall accuracy rate of approximately 80%. The FM potential is remarkable not only for single detections but also for a consecutive sequence of positive predictions. Roughly, the FM achieves an accuracy rate peak after around 20 h of consecutive AF detections, but there is an important trade-off between the accuracy and the time required to assemble more fire indications, which can be decisive for firefighters in real life.

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Effect of fires on biophysical parameters, energy balance and evapotranspiration in a protected area in the Brazilian Cerrado

Cited by 15 publications

References 34 publications

Effects of changes in use and soil cover on real evapotranspiration from the creation of a remote sensing product in the Xingu basin

Effects of changes in use and soil cover on real evapotranspiration from the creation of a remote sensing product in the Xingu basin

Trends in Precipitation and Air Temperature Extremes and Their Relationship with Sea Surface Temperature in the Brazilian Midwest

Near Real-Time Fire Detection and Monitoring in the MATOPIBA Region, Brazil

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