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010 a| 2023053960;

020 a| 9781032698496q| (hbk);

020 a| 9781032711119q| (pbk);

020 z| 9781032711126q| (ebk);

035 a| (WaSeSS)ssj0003199810;

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050 00 a| QE516.C37b| L66 2024;

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245 00 a| Land carbon cycle modelingh| [electronic resource] :b| matrix approach, data assimilation, ecological forecasting, and machine learning /c| edited by Yiqi Luo and Benjamin Smith.;

250 a| Second edition.;

260 a| Boca Raton :b| CRC Press,c| 2024.;

263 a| 2406;

300 a| pages cm;

504 a| Includes bibliographical references and index.;

506 a| Available only to authorized users.;

520 a| "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; combining newly available machine learning techniques with process-based models to improve prediction of land carbon cycle under climate change. This new edition includes 7 new chapters on machine learning and its applications to carbon cycle research (5 chapters). on principles underlying carbon dioxide removal from the atmosphere (1 chapter), a contemporary active research and management issue, and on community infrastructure for ecological forecasting"--c| Provided by publisher.;

538 a| Mode of access: World Wide Web;

650 0 a| Carbon.=| ^A47375;

650 0 a| Carbon cycle (Biogeochemistry)=| ^A108783;

655 0 a| Electronic books.=| ^A491897;

700 1 a| Luo, Yiqi.=| ^A412872;

700 1 a| Smith, Benjamin.=| ^A460986;

856 40 z| Full text available from Taylor & Francis eBooksu| https://go.openathens.net/redirector/ecu.edu?url=https%3A%2F%2Fwww.taylorfrancis.com%2Fbooks%2F9781032711126;

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Land carbon cycle modeling matrix approach, data assimilation, ecological forecasting, and machine learning / edited by Yiqi Luo and Benjamin Smith.

Other author	Luo, Yiqi.
Other author	Smith, Benjamin.
Format	Electronic
Edition	Second edition.
Publication Info	Boca Raton : CRC Press, 2024.
Description	pages cm
Supplemental Content	Full text available from Taylor & Francis eBooks
Subjects	Carbon. Carbon cycle (Biogeochemistry)

Abstract	"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; combining newly available machine learning techniques with process-based models to improve prediction of land carbon cycle under climate change. This new edition includes 7 new chapters on machine learning and its applications to carbon cycle research (5 chapters). on principles underlying carbon dioxide removal from the atmosphere (1 chapter), a contemporary active research and management issue, and on community infrastructure for ecological forecasting"-- Provided by publisher.
Bibliography note	Includes bibliographical references and index.
Access restriction	Available only to authorized users.
Technical details	Mode of access: World Wide Web
Genre/form	Electronic books.
LCCN	2023053960
ISBN	9781032698496 (hbk)
ISBN	9781032711119 (pbk)
ISBN	(ebk)

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Land carbon cycle modeling matrix approach, data assimilation, ecological forecasting, and machine learning / edited by Yiqi Luo and Benjamin Smith.

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