Effect of drought on demography of Pileated Finch (Coryphospingus pileatus: Thraupidae) in northeastern Brazil

Tavares-Damasceno, João Paulo; Silveira, João Lucas Gomes de Souza; Câmara, Thanyria Pollyneide França; Stedile, Priscila de Castro; Macario, Phoeve; Toledo-Lima, Guilherme S.; Pichorim, Mauro

doi:10.1016/j.jaridenv.2017.09.006

Cited by 16 publications

(10 citation statements)

References 40 publications

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“…The SD experimental site's geographic coordinates are 6 • 34 42 S, 37 • 15 05 W, and 203 m altitude. Its area is characterised by dry xerophilous forest with deciduous plant species and the predominance of small, widely dispersed trees and shrubs up to 10 metres high, which develop and grow only in the rainy season between January and May [41]. The average annual precipitation varies between 400 and 700 mm, and the average yearly temperature ranges from 28 to 30 • C. The dominant soil is Neosol Litolic, shallow (about 40 cm), stony, and low fertility [42].…”

Section: Study Areasmentioning

confidence: 99%

Remote Sensing Phenology of the Brazilian Caatinga and Its Environmental Drivers

et al. 2022

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The Caatinga is the largest nucleus of Seasonally Dry Tropical Forests (SDTF) in the Neotropics. The leafing patterns of SDTF vegetation are adapted to the current environmental and climate variability, but the impacts of climate change tend to alter plants’ phenology. Thus, it is necessary to characterise phenological parameters and evaluate the relationship between vegetation and environmental drivers. From this information, it is possible to identify the dominant forces in the environment that trigger the phenological dynamics of the Caatinga. In this way, remote sensing represents an essential tool to investigate the phenology of vegetation, particularly as it has a long series of vegetation monitoring and allows relationships with different environmental drivers. This study has two objectives: (i) estimate phenological parameters using an Enhanced Vegetation Index (EVI) time-series over 20 years, and (ii) characterise the relationship between phenologic dynamics and environmental drivers. TIMESAT software was used to determine four phenological parameters: Start Of Season (SOS), End Of Season (EOS), Length Of Season (LOS), and Amplitude (AMPL). Boxplots, Pearson’s, and partial correlation coefficients defined relationships between phenologic dynamics and environmental drivers. The non-parametric test of Fligner–Killeen was used to test the interannual variability in SOS and EOS. Our results show that the seasonality of vegetation growth in the Caatinga was different in the three experimental sites. The SOS was the parameter that presented the greatest variability in the days of the year (DOY), reaching a variation of 117 days. The sites with the highest SOS variability are the same ones that showed the lowest EOS variation. In addition, the values of LOS and AMPL are directly linked to the annual distribution of rainfall, and the longer the rainy season, the greater their values are. The variability of the natural cycles of the environmental drivers that regulate the ecosystem’s phenology and the influence on the Caatinga’s natural dynamics indicated a greater sensitivity of the phenologic dynamics to water availability, with precipitation being the limiting factor of the phenologic dynamics. Highlights: The EVI time series was efficient in estimating phenological parameters. The high variability of the start of season (SOS) occurred in sites with low variability of end of the season (EOS) and vice versa. The precipitation and water deficit presented a higher correlation coefficient with phenological dynamics. Length of Season (LOS) and amplitude (AMPL) are directly linked to the annual distribution of rainfall.

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Section: Study Areasmentioning

confidence: 99%

Remote Sensing Phenology of the Brazilian Caatinga and Its Environmental Drivers

et al. 2022

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“…The third experimental site called preserved Caatinga (CPres) -a preserved fragment of a dry tropical forest (6°34'42" S, 37°15'05" W), is located at the Seridó Ecological Station (ESEC-Seridó), municipality of Serra Negra do Norte, in the state of Rio Grande do Norte (Figure 1). ESEC-Seridó comprises an area of 1163 ha of Caatinga remnant, characterized by dry xerophilous forest and deciduous plant species and the predominance of small, widely dispersed trees and shrubs less than 7 m tall and patches of grass, which develop and grow only during the rainy season (Tavares-Damasceno et al 2017). The climate of the region is semiarid, the low longitude and altitude of the Köppen Bsh (Alvares et al 2014), with the rainy season occurring between January and May, average annual precipitation of 700 mm, average annual temperature of 25 °C and average annual air humidity around 60% (average of 30 years).…”

Section: Datamentioning

confidence: 99%

Net Radiation in the Semiarid Region of the States of Paraíba and Rio Grande do Norte Using the MODIS Sensor

Silva

Oliveira

Santos

et al. 2022

Anu. Inst. Geociênc.

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This study aimed to estimate the surface net radiation (Rn) for the States of Paraíba and Rio Grande do Norte and validate the results with data measured in validate the results with measurements in experimental recovering (CRec), degraded (CDeg), and preserved (CPres) areas of Caatinga. Seventeen images of the MODIS sensor on board the Terra satellite were selected for CRec and CDeg in the State of Paraíba and twenty-eight images for CPres in the state of Rio Grande do Norte, corresponding to the period of January to December 2014. The MODIS-Terra MOD09A1 and MOD11A2 products were used. Parametric (Shapiro-Wilk) and non-parametric (Kolmogorov-Smirnov and Wilcoxon-Mann-Whitney) tests were applied to understand the patterns. Statistical error indices were applied to verify the accuracy of the estimates in relation to the observed values. Only the measured albedo (α_meas) met the assumption of normality. According to mean absolute percentage error statistics, the model used to estimate the albedo was classified as inappropriate for CPres and CRec ( 25%), while it was satisfactory for CDeg (15-25%). Significant differences between observed and estimated values were absent only for the variable Rn in the three observation sites. The good performance of Rn estimates confirms the efficiency of the application of the method in semiarid regions.

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“…The study was conducted in a preserved fragment of a seasonally dry tropical forest, the Caatinga biome, in the semiarid lands of the Northeast Brazil (6 • 34 42 S, 37 • 15 05 W, 205 m above sea level). The vegetation is composed by deciduous and semi-deciduous species with a shrub-tree structure, with approximately 8 m of height, predominantly sparsely distributed small trees and shrubs besides herb patches which thrive only during the wet season [36]. The region has a mean air temperature of 25 • C with little variability throughout the year.…”

Section: Description Of the Experimental Areamentioning

confidence: 99%

Assessment of SITE for CO2 and Energy Fluxes Simulations in a Seasonally Dry Tropical Forest (Caatinga Ecosystem)

Mendes

Campos

Mutti

et al. 2021

Forests

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Although seasonally dry tropical forests are considered invaluable to a greater understanding of global carbon fluxes, they remain as one of the ecosystems with the fewest observations. In this context, ecological and ecosystem models can be used as alternative methods to answer questions related to the interactions between the biosphere and the atmosphere in dry forests. The objective of this study was to calibrate the simple tropical ecosystem model (SITE) and evaluate its performance in characterizing the annual and seasonal behavior of the energy and carbon fluxes in a preserved fragment of the Caatinga biome. The SITE model exhibited reasonable applicability to simulate variations in CO2 and energy fluxes (r > 0.7). Results showed that the calibrated set of vegetation parameters adequately simulated gross primary productivity (GPP) and net ecosystem CO2 exchange (NEE). The SITE model was also able to accurately retrieve the time at which daily GPP and NEE peaked. The model was able to simulate the partition of the available energy into sensible and latent heat fluxes and soil heat flux when the calibrated parameters were used. Therefore, changes in the dynamics of dry forests should be taken into consideration in the modeling of ecosystem carbon balances.

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Effect of drought on demography of Pileated Finch (Coryphospingus pileatus: Thraupidae) in northeastern Brazil

Cited by 16 publications

References 40 publications

Remote Sensing Phenology of the Brazilian Caatinga and Its Environmental Drivers

Remote Sensing Phenology of the Brazilian Caatinga and Its Environmental Drivers

Net Radiation in the Semiarid Region of the States of Paraíba and Rio Grande do Norte Using the MODIS Sensor

Assessment of SITE for CO2 and Energy Fluxes Simulations in a Seasonally Dry Tropical Forest (Caatinga Ecosystem)

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