Land Carbon Cycle Modeling
Carbon moves through the atmosphere, through the oceans, onto land, and into ecosystems. This cycling has a large effect on climate – changing geographic patterns of rainfall and the frequency of extreme weather – and is altered as the use of fossil fuels adds carbon to the cycle. The dynamics of th...
Uloženo v:
| Médium: | Online |
|---|---|
| Jazyk: | angličtina |
| Vydáno: |
Taylor & Francis
2025
|
| Témata: | |
| On-line přístup: | ONIX_20250512_9781040026298_5 |
| Tagy: |
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
|
| _version_ | 1869526580885192704 |
|---|---|
| collection | Directory of Open Access Books |
| description | Carbon moves through the atmosphere, through the oceans, onto land, and into ecosystems. This cycling has a large effect on climate – changing geographic patterns of rainfall and the frequency of extreme weather – and is altered as the use of fossil fuels adds carbon to the cycle. The dynamics of this global carbon cycling are largely predicted over broad spatial scales and long periods of time by Earth system models. This book addresses the crucial question of how to assess, evaluate, and estimate the potential impact of the additional carbon to the land carbon cycle. The contributors describe a set of new approaches to land carbon cycle modeling for better exploring ecological questions regarding changes in carbon cycling; employing data assimilation techniques for model improvement; doing real- or near-time ecological forecasting for decision support; and combining newly available machine learning techniques with process-based models to improve prediction of the land carbon cycle under climate change. This new edition includes seven new chapters: machine learning and its applications to carbon cycle research (five chapters); principles underlying carbon dioxide removal from the atmosphere, contemporary active research and management issues (one chapter); and community infrastructure for ecological forecasting (one chapter). Key Features Helps readers understand, implement, and criticize land carbon cycle models Offers a new theoretical framework to understand transient dynamics of the land carbon cycle Describes a suite of modeling skills – matrix approach to represent land carbon, nitrogen, and phosphorus cycles; data assimilation and machine learning to improve parameterization; and workflow systems to facilitate ecological forecasting Introduces a new set of techniques, such as semi-analytic spin-up (SASU), unified diagnostic system with a 1-3-5 scheme, traceability analysis, and benchmark analysis, and PROcess-guided machine learning and DAta-driven modeling (PRODA) for model evaluation and improvement Reorganized from the first edition with seven new chapters added Strives to balance theoretical considerations, technical details, and applications of ecosystem modeling for research, assessment, and crucial decision-making |
| format | Online |
| id | doab-20.500.12854ir-159279 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | Taylor & Francis |
| publisherStr | Taylor & Francis |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1592792025-05-16T06:02:39Z Land Carbon Cycle Modeling Luo, Yiqi Smith, Benjamin Ecosystem Modeling Data Assimilation in Modeling Assessing Models Types of Models thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TQ Environmental science, engineering and technology thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RB Earth sciences::RBG Geology, geomorphology and the lithosphere::RBGK Geochemistry thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RB Earth sciences::RBG Geology, geomorphology and the lithosphere::RBGB Sedimentology and pedology thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PST Botany and plant sciences thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSV Zoology and animal sciences thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSP Hydrobiology::PSPF Freshwater biology thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RN The environment::RNC Applied ecology::RNCB Biodiversity thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TV Agriculture and farming::TVB Agricultural science Carbon moves through the atmosphere, through the oceans, onto land, and into ecosystems. This cycling has a large effect on climate – changing geographic patterns of rainfall and the frequency of extreme weather – and is altered as the use of fossil fuels adds carbon to the cycle. The dynamics of this global carbon cycling are largely predicted over broad spatial scales and long periods of time by Earth system models. This book addresses the crucial question of how to assess, evaluate, and estimate the potential impact of the additional carbon to the land carbon cycle. The contributors describe a set of new approaches to land carbon cycle modeling for better exploring ecological questions regarding changes in carbon cycling; employing data assimilation techniques for model improvement; doing real- or near-time ecological forecasting for decision support; and combining newly available machine learning techniques with process-based models to improve prediction of the land carbon cycle under climate change. This new edition includes seven new chapters: machine learning and its applications to carbon cycle research (five chapters); principles underlying carbon dioxide removal from the atmosphere, contemporary active research and management issues (one chapter); and community infrastructure for ecological forecasting (one chapter). Key Features Helps readers understand, implement, and criticize land carbon cycle models Offers a new theoretical framework to understand transient dynamics of the land carbon cycle Describes a suite of modeling skills – matrix approach to represent land carbon, nitrogen, and phosphorus cycles; data assimilation and machine learning to improve parameterization; and workflow systems to facilitate ecological forecasting Introduces a new set of techniques, such as semi-analytic spin-up (SASU), unified diagnostic system with a 1-3-5 scheme, traceability analysis, and benchmark analysis, and PROcess-guided machine learning and DAta-driven modeling (PRODA) for model evaluation and improvement Reorganized from the first edition with seven new chapters added Strives to balance theoretical considerations, technical details, and applications of ecosystem modeling for research, assessment, and crucial decision-making 2025-05-13T04:20:53Z 2025-05-13T04:20:53Z 2025-05-12T09:31:42Z 2024 book ONIX_20250512_9781040026298_5 https://library.oapen.org/handle/20.500.12657/101463 9781040026298 9781032711126 9781032698496 9781040026311 9781498737029 https://directory.doabooks.org/handle/20.500.12854/159279 eng open access image/jpeg Attribution-NonCommercial-NoDerivatives 4.0 International https://library.oapen.org/bitstream/20.500.12657/101463/1/9781040026298.pdf Taylor & Francis CRC Press 10.1201/9781032711126 10.1201/9781032711126 fa69b019-f4ee-4979-8d42-c6b6c476b5f0 Cornell University 3f65dd8e-2449-4415-b815-cca4962b637f 9781040026298 9781032711126 9781032698496 9781040026311 9781498737029 CRC Press 312 [...] open access |
| spellingShingle | Ecosystem Modeling Data Assimilation in Modeling Assessing Models Types of Models thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TQ Environmental science, engineering and technology thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RB Earth sciences::RBG Geology, geomorphology and the lithosphere::RBGK Geochemistry thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RB Earth sciences::RBG Geology, geomorphology and the lithosphere::RBGB Sedimentology and pedology thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PST Botany and plant sciences thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSV Zoology and animal sciences thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSP Hydrobiology::PSPF Freshwater biology thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RN The environment::RNC Applied ecology::RNCB Biodiversity thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TV Agriculture and farming::TVB Agricultural science Land Carbon Cycle Modeling |
| title | Land Carbon Cycle Modeling |
| title_full | Land Carbon Cycle Modeling |
| title_fullStr | Land Carbon Cycle Modeling |
| title_full_unstemmed | Land Carbon Cycle Modeling |
| title_short | Land Carbon Cycle Modeling |
| title_sort | land carbon cycle modeling |
| topic | Ecosystem Modeling Data Assimilation in Modeling Assessing Models Types of Models thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TQ Environmental science, engineering and technology thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RB Earth sciences::RBG Geology, geomorphology and the lithosphere::RBGK Geochemistry thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RB Earth sciences::RBG Geology, geomorphology and the lithosphere::RBGB Sedimentology and pedology thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PST Botany and plant sciences thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSV Zoology and animal sciences thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSP Hydrobiology::PSPF Freshwater biology thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RN The environment::RNC Applied ecology::RNCB Biodiversity thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TV Agriculture and farming::TVB Agricultural science |
| topic_facet | Ecosystem Modeling Data Assimilation in Modeling Assessing Models Types of Models thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TQ Environmental science, engineering and technology thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RB Earth sciences::RBG Geology, geomorphology and the lithosphere::RBGK Geochemistry thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RB Earth sciences::RBG Geology, geomorphology and the lithosphere::RBGB Sedimentology and pedology thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PST Botany and plant sciences thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSV Zoology and animal sciences thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSP Hydrobiology::PSPF Freshwater biology thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RN The environment::RNC Applied ecology::RNCB Biodiversity thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TV Agriculture and farming::TVB Agricultural science |
| url | ONIX_20250512_9781040026298_5 |