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Carbon loss from forest degradation exceeds that from deforestation in the Brazilian Amazon [PDF]
Spatial–temporal dynamics of aboveground biomass (AGB) and forest area affect the carbon cycle, climate and biodiversity in the Brazilian Amazon. Here we investigate interannual changes in AGB and forest area by analysing satellite-based annual AGB and ...
Yuanwei Qin +2 more
exaly +2 more sources
The drivers and impacts of Amazon forest degradation
Approximately 2.5 × 106 square kilometers of the Amazon forest are currently degraded by fire, edge effects, timber extraction, and/or extreme drought, representing 38% of all remaining forests in the region.
David M Lapola, , Jos Barlow
exaly +2 more sources
Critical transitions in the Amazon forest system
The possibility that the Amazon forest system could soon reach a tipping point, inducing large-scale collapse, has raised global concern1–3. For 65 million years, Amazonian forests remained relatively resilient to climatic variability. Now, the region is
Bernardo M Flores +2 more
exaly +2 more sources
Reducing adverse impacts of Amazon hydropower expansion
Proposed hydropower dams at more than 350 sites throughout the Amazon require strategic evaluation of trade-offs between the numerous ecosystem services provided by Earth’s largest and most biodiverse river basin.
Alexander S Flecker +2 more
exaly +2 more sources
21st Century drought-related fires counteract the decline of Amazon deforestation carbon emissions
Tropical carbon emissions are largely derived from direct forest clearing processes. Yet, emissions from drought-induced forest fires are, usually, not included in national-level carbon emission inventories.
Luiz E O C Aragão +2 more
exaly +2 more sources
Direct evidence for phosphorus limitation on Amazon forest productivity
+2 more
exaly +2 more sources
Evaluating the Code Quality of AI-Assisted Code Generation Tools: An Empirical Study on GitHub Copilot, Amazon CodeWhisperer, and ChatGPT [PDF]
Context: AI-assisted code generation tools have become increasingly prevalent in software engineering, offering the ability to generate code from natural language prompts or partial code inputs.
Burak Yetistiren +3 more
semanticscholar +1 more source
Density-Aware Differentially Private Textual Perturbations Using Truncated Gumbel Noise
Deep Neural Networks, despite their success in diverse domains, are provably sensitive to small perturbations which cause the models to return erroneous predictions to minor transformations.
Nan Xu +4 more
doaj +1 more source
Research Challenges in Designing Differentially Private Text Generation Mechanisms
Accurately learning from user data while ensuring quantifiable privacy guarantees provides an opportunity to build better ML models while maintaining user trust.
Oluwaseyi Feyisetan +3 more
doaj +1 more source
Waist-to-hip circumference ratio (WHR) is now recognized as among the strongest shape biometrics linked with health outcomes, although use of this phenotypic marker remains limited due to the inaccuracies in and inconvenient nature of flexible tape ...
Siddharth Choudhary +6 more
doaj +1 more source

