Weekly carbon dioxide exchange trend predictions in deciduous broadleaf forests from site-specific influencing variables

Wood, David A.

doi:10.1016/j.ecoinf.2023.101996

Cited by 4 publications

(1 citation statement)

References 60 publications

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“…Data-driven approaches based on machine learning can extract new knowledge from data, which can provide a new understanding of new mechanisms. Research has also proven that machine learning methods are more successful in predicting ecosystem carbon sinks compared to traditional statistical methods (Wood, 2023). A carbon sink estimation method that uses machine learning as a bridge to combine remote sensing products and ground observation data is an effective solution to reduce estimation uncertainty.…”

Section: Introductionmentioning

confidence: 99%

New Approaches to Determining Carbon Capture Potential

Güler,

Turgut,

Ayan

2023

3rd International Congress on Engineering and Life Science Proceedings Book

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Climate change and global warming are among the most important environmental issues and require sufficient and urgent global action to protect the Earth for future generations. One of the main approaches used to reduce CO2 emissions and mitigate the worst impacts of climate change is carbon capture technology. Carbon capture technologies have the potential to capture carbon from the atmosphere and convert it into fuels that can be used in environmentally friendly energy production. Innovative technologies can increase the potential for carbon capture, which can play an important role in combating climate change. A better understanding of the mechanisms that extract, store and release carbon from the atmosphere will allow us to make more accurate predictions for assessing carbon capture potentials. There have been many efforts by scientists, industry sectors and policy makers in the search for new technologies to reduce greenhouse gas emissions and achieve net zero emissions targets. Research and development work to create new technology involves complex processes and requires a digital system to optimize big data forecasting as well as reduce production time. A mathematical and statistical approach such as machine learning plays an important role in solving research problems, providing fast results and cost-effective tools for predicting big data. Effective policies and international cooperation for carbon capture can increase the potential for carbon capture. New policies and cooperation models can incentivize investment in carbon capture projects, which can increase potential. These new approaches can be used to better understand the potential for carbon capture and develop effective solutions to tackle climate change. However, work in this area is still ongoing and more research and development is needed in the future.

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Section: Introductionmentioning

confidence: 99%

New Approaches to Determining Carbon Capture Potential

Güler,

Turgut,

Ayan

2023

3rd International Congress on Engineering and Life Science Proceedings Book

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Evaluate the differences in carbon sink contribution of different ecological engineering projects

Zeng,

Zhou,

Tan

et al. 2024

Carbon Res.

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China has implemented a series of ecological engineering projects to help achieve the 2060 carbon neutrality target. However, the lack of quantitative research on ecological engineering and the contribution of climate change to terrestrial carbon sinks limits this goal. This study uses robust statistical models combined with multiple terrestrial biosphere models to quantify the impact of China's ecological engineering on terrestrial ecosystem carbon sink trends and their differences according to the difference between reality and nonpractice assumptions. The main conclusions include the following: (1) since 1901, 84% of terrestrial ecosystem carbon sinks in China have shown an increasing trend, and approximately 45% of regional carbon sinks have increased by more than 0.1 g C/m2 every 10 years. (2) Considering the impact of human activities and the implementation of ecological engineering in China, approximately 56% of carbon sinks have improved, and approximately 10% of the regions whose carbon sink growth exceeds 50 g C m−2 yr−1 are mainly in the southeast coastal of China. (3) The carbon sequestration potential and effect of the Sanjiangyuan ecological protection and construction project are better than others, at 1.26 g C m−2 yr−1 and 14.13%, respectively. The Beijing–Tianjin sandstorm source comprehensive control project helps alleviate the reduction in carbon sinks, while the southwest karst rocky desertification comprehensive control project may aggravate the reduction in carbon sinks. This study clarifies the potential of China's different ecological engineering to increase carbon sink potential, and distinguishes and quantifies the contribution of climate and human activity factors to it, which is of great significance to the system management optimization scheme of terrestrial ecosystems and can effectively serve the national carbon neutral strategy. Graphical Abstract

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