The Late Mangos: Is There Any Doubt Humans Are Inducing Climate Change?

Goulart, Fernando Figueiredo

doi:10.26717/bjstr.2017.01.000612

Cited by 1 publication

(1 citation statement)

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“…Most scientists are in agreement with the fact that greenhouse gas (GHG) emissions from anthropogenic activities are on the rise, accelerating global climate change (Marini et al 2009;Goulart 2017). According to the Intergovernmental Panel on Climate Change, carbon dioxide (CO 2 ) emissions represent 76% of global GHG emissions, with CO 2 levels in the atmosphere increasing from 277 ppm in 1750 to 399 ppm in 2015 (Le Quéré et al 2016).…”

Section: Introductionmentioning

confidence: 87%

Beyond climate villains: Estimating carbon storage in urban parks using high-resolution imagery combined with field sampling

Ribeiro,

Goulart,

Jacobson

et al. 2024

Preprint

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Urban areas are responsible for 80% of GHG emissions, leading scientists and policymakers to act towards city greening. The contribution of these urban green spaces to storing carbon and climate change mitigation is unknown, particularly in the tropics. Here, we present a methodology that combines high-resolution satellite images (3 x 3 m) with biomass sampling in Brasilia, Brazil's capital. The phytosociological parameters of the woody vegetation and the total aerial biomass of the grass layer were calculated. Our model used a CO2 flux index calibrated with field data. The CO2 flux index was produced by the Planet satellite constellation. The woody plant community had 59 individuals (21 species), and the average biomass of the grass layer varied between 8,915.68 and 11,545.12 kg.ha− 1. The CO2 flux reveals areas with higher carbon flow, indicating greater carbon sequestration due to more expressive photosynthetic activity. Linear regression (R2 = 1) was used to estimate total carbon storage in eight urban parks, and cerrado areas exhibit higher values, while degraded or constructed areas show the lowest values. Our simple and low-cost method using field data with remote sense imagery produces precise biomass estimations at regional levels, which greatly apply to tropical landscapes. By enhancing knowledge about the urban positive and negative influence on the carbon cycle, our method could support scientists and policymakers in targeting climate and biodiversity-friendly agendas.

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Section: Introductionmentioning

confidence: 87%