Journal ArticleDOI
Towards a multiscale crop modelling framework for climate change adaptation assessment
Bin Peng,Kaiyu Guan,Jinyun Tang,Elizabeth A. Ainsworth,Senthold Asseng,Carl J. Bernacchi,Mark E. Cooper,Evan H. DeLucia,Joshua Elliott,Frank Ewert,Robert F. Grant,David I. Gustafson,Graeme Hammer,Zhenong Jin,James W. Jones,Hyungsuk Kimm,David M. Lawrence,Yan Li,Danica Lombardozzi,Amy Marshall-Colon,Carlos D. Messina,Donald R. Ort,James C. Schnable,C. Eduardo Vallejos,Alex Wu,Xinyou Yin,Wang Zhou +26 more
TLDR
An advanced multiscale crop modelling framework will enable a gene-to-farm design of resilient and sustainable crop production systems under a changing climate at regional- to-global scales.Abstract:
Predicting the consequences of manipulating genotype (G) and agronomic management (M) on agricultural ecosystem performances under future environmental (E) conditions remains a challenge. Crop modelling has the potential to enable society to assess the efficacy of G × M technologies to mitigate and adapt crop production systems to climate change. Despite recent achievements, dedicated research to develop and improve modelling capabilities from gene to global scales is needed to provide guidance on designing G × M adaptation strategies with full consideration of their impacts on both crop productivity and ecosystem sustainability under varying climatic conditions. Opportunities to advance the multiscale crop modelling framework include representing crop genetic traits, interfacing crop models with large-scale models, improving the representation of physiological responses to climate change and management practices, closing data gaps and harnessing multisource data to improve model predictability and enable identification of emergent relationships. A fundamental challenge in multiscale prediction is the balance between process details required to assess the intervention and predictability of the system at the scales feasible to measure the impact. An advanced multiscale crop modelling framework will enable a gene-to-farm design of resilient and sustainable crop production systems under a changing climate at regional-to-global scales.read more
Citations
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The shared and unique value of optical, flourescence, thermal and microwave satellite data for estimating large-scale crop yields
TL;DR: In this paper, the authors used Partial Least Square Regression (PLSR) to distinguish commonly shared and unique individual information from the various satellite data and other ancillary climate information for crop yield prediction.
Journal ArticleDOI
Assessing the benefit of satellite-based Solar-Induced Chlorophyll Fluorescence in crop yield prediction
Bin Peng,Kaiyu Guan,Wang Zhou,Chongya Jiang,Christian Frankenberg,Ying Sun,Liyin He,Philipp Köhler +7 more
TL;DR: It is found that high-resolution SIF products from OCO-2 and TROPOMI outperformed coarse-resolution GOME-2 SIF product in crop yield prediction, and using NIRv could achieve similar or even better yield prediction performance than using Oco-2 or TROPOspheric Monitoring Instrument Sif products.
Journal ArticleDOI
Lidar sheds new light on plant phenomics for plant breeding and management: Recent advances and future prospects
Shichao Jin,Xiliang Sun,Fangfang Wu,Yanjun Su,Yumei Li,Shiling Song,Kexin Xu,Qin Ma,Frédéric Baret,Frédéric Baret,Dong Jiang,Yanfeng Ding,Qinghua Guo +12 more
TL;DR: Three main challenges in lidar-based phenotypes development are identified: developing low cost, high spatial–temporal, and hyperspectral lidar facilities, moving into multi-dimensional phenotyping with an endeavor to generate new algorithms and models, and embracing open source and big data.
Journal ArticleDOI
Targeting Nitrogen Metabolism and Transport Processes to Improve Plant Nitrogen Use Efficiency.
Rachel Snyder,Mechthild Tegeder +1 more
TL;DR: This review addresses recent discoveries in N metabolism and transport and their relevance for improving N use efficiency under high and low N conditions.
Journal ArticleDOI
Uniting remote sensing, crop modelling and economics for agricultural risk management
E. Benami,Zhenong Jin,Michael R. Carter,Aniruddha Ghosh,Robert J. Hijmans,Andrew Hobbs,Benson Kipkemboi Kenduiywo,David B. Lobell +7 more
TL;DR: In this paper, the authors discuss how approaches to estimate agricultural losses for index insurance have evolved from costly field-sampling-based campaigns towards lower-cost techniques using weather and satellite data, and illustrate how an economic framework can be used to gauge and enhance the value of insurance based on earth-observation data.
References
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Journal ArticleDOI
A review: James H. Meisel, The Fall of the Republic: Military Revolt in France Edward R. Tannenbaum, The Action Française: Diehard Reactionaries in Twentieth-Century France
BookDOI
Managing the risks of extreme events and disasters to advance climate change adaptation. Special report of the Intergovernmental Panel on Climate Change.
TL;DR: In this paper, a special report on Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation (SREX) has been jointly coordinated by Working Groups I (WGI) and II (WGII) of the Intergovernmental Panel on Climate Change (IPCC).
Journal ArticleDOI
FLUXNET: A New Tool to Study the Temporal and Spatial Variability of Ecosystem-Scale Carbon Dioxide, Water Vapor, and Energy Flux Densities
Dennis D. Baldocchi,Eva Falge,Lianhong Gu,Richard J. Olson,David Y. Hollinger,Steven W. Running,P. M. Anthoni,Ch. Bernhofer,Kenneth J. Davis,Robert G. Evans,Jose D. Fuentes,Allen H. Goldstein,Gabriel G. Katul,Beverly E. Law,Xuhui Lee,Yadvinder Malhi,Tilden P. Meyers,William Munger,Walter C. Oechel,Kim Pilegaard,Hans Peter Schmid,Riccardo Valentini,Shashi B. Verma,Timo Vesala,Kell B. Wilson,S. C. Wofsy +25 more
TL;DR: The FLUXNET project as mentioned in this paper is a global network of micrometeorological flux measurement sites that measure the exchanges of carbon dioxide, water vapor, and energy between the biosphere and atmosphere.
Journal ArticleDOI
What have we learned from 15 years of free-air CO2 enrichment (FACE)? A meta-analytic review of the responses of photosynthesis, canopy properties and plant production to rising CO2.
TL;DR: The results from this review may provide the most plausible estimates of how plants in their native environments and field-grown crops will respond to rising atmospheric [CO(2)]; but even with FACE there are limitations, which are discussed.
FLUXNET: A New Tool to Study the Temporal and Spatial Variability of Ecosystem-Scale Carbon Dioxide, Water Vapor, and Energy Flux Densities
Dennis D. Baldocchi,Eva Falge,Lianhong Gu,Richard J. Olson,David Y. Hollinger,Steven W. Running,P. M. Anthoni,Christian Bernhofer,Kenneth J. Davis,Robert G. Evans +9 more
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