Spatiotemporal variability of precipitation and surface temperature in the southern mesoregion of amazonas, Brazil, during the occurrence of ENSO

Souza, Sara Angélica Santos de; Querino, Carlos Alexandre Santos; Ferreira, Nilson Clementino; Moura, Marcos Antônio Lima; Biudes, Marcelo Sacardi; Machado, Nadja Gomes; Vogt, Rômulo Henrique Marmentini; Querino, Juliane Kayse Albuquerque da Silva; Rohleder, Luciano Augusto Souza

doi:10.5902/2179460x65690

Cited by 1 publication

(1 citation statement)

References 14 publications

(17 reference statements)

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“…This pattern of variation is also evident when observing the average EVI values in the two types of land use and cover over the years, showing that the AFS areas had more variations, while the forest areas remained more stable, showing more distinct variations. in the years 2010, 2015 and 2018, which can be explained by the occurrence of the El Niño phenomenon in the years in question, which, by in uencing the precipitation regime in the Amazon region, also affects the natural behavior of the vegetation (Andreoli et al, 2017;De Souza et al, 2022). Thus, even though the variability is slightly higher in the AFS areas, the behavior of both types of cover shows linear EVI trends with values > 0, indicating stability and improvements in the health of the vegetation over the analyzed period.…”

Section: Space-time Analysismentioning

confidence: 99%

Evaluating the ability of agroforestry systems to mimic forests with remote sensing data in the Amazon

Fiel

Aviz

Sousa

et al. 2023

Preprint

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Agroforestry systems (AFSs) are a form of land use capable of sequestering and storing carbon in their perennial structure, while ensuring income distribution and food security in biodiversity-friendly landscapes. Given this, such a productive activity has great potential as an adaptive measure in the face of the ongoing climate change. The logic of this activity is supported by the theoretical framework of biomimetics, even if in an intuitive and non-declared way, where there is a deliberate intention that agroecosystems should imitate natural ecosystems in their structure and functioning. Based on this premise, the objective of this study is to evaluate whether the AFS in the municipality of Tomé-Açu, inserted in the Amazon biome, are capable of mimicking primary forests in terms of their structure and functioning over two decades of observation in a spatially explicit. To achieve this objective, we used the Enhanced Vegetation Index (EVI) calculated on the Google Earth Engine (GEE) platform for primary forests and agroecosystems in the municipality of Tomé-Açu between 2000 and 2020 annually. In addition, we used aboveground biomass (AGB) estimates derived from remote sensors to assess whether there were functional differences in carbon storage between the two evaluated treatments. We observed that using the EVI, there is no statistically significant difference between AFS and primary forests, although there are relevant differences in terms of biomass. Our results indicate that AFS can be structurally similar to mature forests, corroborating studies that point to a similarity in the ability to store carbon. From the results of our methodological approach, we conclude that agroforestry systems can represent a relevant opportunity for mitigating the socio-environmental effects of climate change.

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Section: Space-time Analysismentioning

confidence: 99%