PEATmod · PEATland modelling for global carbon cycle and climate models
„Хоризонт 2020“ — Действия „Мария Склодовска-Кюри“
- Период
- 2016-03-01 → 2019-07-05
- Финансиране от ЕС
- 195 455 €
- Участници
- 1
- Схема
- MSCA-IF-EF-RI
Линиите свързват координатора с партньорите.
Накратко на български
Торфенища и техните взаимодействия с атмосферата и водите се анализират чрез математически модели, за да се проследи обменът на въглерод. Това помага да се разбере дали тези екосистеми ще продължат да съхраняват въглерод или ще започнат да отделят повече CO2 в атмосферата.
Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.
Резултати накратко
PEATland modelling for global carbon cycle and climate models
Peatlands are present in humid regions. In these ecosystems, water remains close to the surface and stagnates or flows very slowly. In peatlands, vegetation stores carbon through photosynthesis while the waterlogged conditions prevent this carbon to naturally decompose. This results in an accumulation of carbon and thus in peat growth. However, peatlands are also emit carbon, in form of methane and CO2 from respiration (Figure 1). Since their development, the imbalance between carbon storage and release has allowed these ecosystems to accumulate large amounts of carbon. It is estimated that they contain 530-694 Gt of carbon, i.e. almost as much as the total amount of carbon in the atmosphere. Changes in climate and atmospheric CO2 concentration affect photosynthesis, respiration and methane production in different ways and at different magnitudes. The effect of these changes in peatlands remains debated and there is a risk that peatlands could turn into net carbon sources, thus increasing the CO2 concentration of the atmosphere. Considering the amount of carbon that they store, it is important to assess whether large carbon quantities will be released or if carbon storage will be enhanced in the future. A better insight into this question can be gained from studying the feedback processes between peatlands, the atmosphere and hydrology. Current knowledge on peatlands dynamics allows to adequately represent carbon exchanges in peatlands, especially for peatlands at high latitudes. This knowledge has been used to develop peatland modules in some of the existing global vegetation models in order to assess the role of peatlands at global scale. Although some models already include carbon functions and mechanisms in peatlands, the feedbacks between hydrology, vegetation and carbon are missing from most models, and this limits the accurate representation of the impact of peatlands on the atmosphere and the global carbon cycle. The aim of the project was to take the firsts steps to include the necessary feedback mechanisms into the peatland modules in global vegetation models. We chose to focus on low-latitude peatlands, in order to integrate these important ecosystems into models. Although peatlands are present at all latitudes, their properties change depending on the local topographical, climatic and geological conditions. To be able to represent peatlands in global models, the processes driving their functioning and resilience need to be identified. The approach followed during the project included a wide range of peatland experts from different regions of the world. The results showed that low-latitude peatlands should be considered separately from high-latitude peatlands for modelling purposes. Key areas where research is needed were identified. The first steps toward the inclusion of low-latitude peatlands in global vegetation models were performed. In conclusion, the project brought expertise in peatland modelling back to Europe and enabled to strengthen the links between the peatland science communities in North America, South America, Asia and Europe.
Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз
Цел на проекта
Prediction of future climate change can only be achieved through models of the global climate system and its interactions with earth system processes. The reliability of the predictions depends on building the best understanding of these processes. Changes in the global carbon cycle are a source of major uncertainty in models and terrestrial carbon stored in peatlands is a critical element of this. The action proposed here will bring state-of-the-art process modelling into global vegetation models that are used in projections of future climate change. An improved understanding of peatland dynamics and functions will also have implications for management and climate mitigation strategies for wetlands, agriculture, land-use, and energy. I have worked extensively in North America on one of the most sophisticated peatland process models. I will work with Dan Charman and Angela Gallego-Sala at Exeter to build this model in to one of the most widely used dynamic global vegetation models so that peatlands and their carbon balance are better represented within global climate models. The work will thus allow quantification of the impact of peatlands on the global carbon cycle in the past and in the future. The action will bring top level expertise in peatland modelling back to Europe and build a bridge between the North American peatland modelling community and those in Europe. It will expose me to training and development in the necessary skills, people and laboratories to take this work forward independently in a European institution in the future. The supervisors at Exeter will develop their already strong record in carbon cycle and climate modelling and further develop links with other European workers and key groups in North America. Overall the action will provide a secure launch pad for my career, bring cutting edge skills to Europe and build stronger and long lasting linkages between European and North American science.
Оригинален текст от CORDIS (на английски).
Участници
- THE UNIVERSITY OF EXETER · ExeterКоординаторОбединеното кралство
Връзки
- Виж в CORDIS
- DOI: 10.3030/658041
- https://arquivo.pt/wayback/20211014225330/https://www.researchgate.net/project/PEATland-modelling-for-global-carbon-cycle-and-climate-models
Данни: CORDIS, © Европейски съюз
