气候变化领域集成服务门户(CCPortal): Representing Grasslands Using Dynamic Prognostic Phenology Based on Biological Growth Stages: 1. Implementation in the Simple Biosphere Model (SiB4)

CCPortal

DOI	10.1029/2018MS001540
	Representing Grasslands Using Dynamic Prognostic Phenology Based on Biological Growth Stages: 1. Implementation in the Simple Biosphere Model (SiB4)
	Haynes K.D.; Baker I.T.; Denning A.S.; Stöckli R.; Schaefer K.; Lokupitiya E.Y.; Haynes J.M.
发表日期	2019
ISSN	19422466
起始页码	4423
结束页码	4439
卷号	11 期号:12
英文摘要	Grasslands grow in a sequence of seasonal growth stages that respond to both climate and weather, and these relationships can be used to establish a strategy for predicting plant phenology. Current plant states (phenophase) can be represented as one of established growth stages that dictate carbon allocation and leaf photosynthetic capacity. Calculating daily phenophases from climate and environmental relationships allows for sequential growth stages (i.e., well-defined seasonal cycles with a single growth period) or dynamic growth stages (i.e., multiple growth periods during a growing season). Senescence results from biomass mortality in response to environmental conditions. This approach uses a single mechanistic framework to represent grassland ecology, removing the dependence on satellite-based vegetation indices and individual site tuning of parameters. Rather than being specified, a variety of properties emerge, from allometric relationships such as root-shoot ratios, to behavior across moisture gradients, to interannual variability in growing season lengths, carbon stores, and land surface fluxes. Using dynamic phenology stages to link biophysical and biogeochemical processes provides a mechanism to predict self-consistent land-atmosphere exchanges of carbon, water, energy, radiation, and momentum, as well as carbon storage in cascading pools of biomass; and describing these processes in a mathematically determinate model makes them clear, testable, and usable for predictions. This paper describes this new phenology method as it is implemented in the Simple Biosphere Model Version 4 (SiB4), and a companion paper evaluates this method at grassland sites worldwide. ©2019. The Authors.
英文关键词	Land Surface Model; Prognostic Phenology; Terrestrial Carbon Cycle
语种	英语
scopus关键词	Biology; Biospherics; Forecasting; Surface measurement; Allometric relationship; Biogeochemical process; Environmental conditions; Interannual variability; Land surface modeling; Photosynthetic capacity; Prognostic Phenology; Terrestrial carbon cycle; Forestry; biogeochemistry; biomass allocation; biophysics; carbon cycle; carbon storage; grassland; growing season; mortality; phenology
来源期刊	Journal of Advances in Modeling Earth Systems
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/156794
作者单位	Department of Atmospheric Science, Colorado State University, Fort Collins, CO, United States; Climate Division, Federal Office of Meteorology and Climatology, MeteoSwiss, Zurich, Switzerland; National Snow and Ice Data Center, University of Colorado Boulder, Boulder, CO, United States; Department of Zoology and Environment Sciences, University of Colombo, Colombo, Sri Lanka; Cooperative Institute for Research in the Atmosphere, Colorado State University, Fort Collins, CO, United States
推荐引用方式 GB/T 7714	Haynes K.D.,Baker I.T.,Denning A.S.,et al. Representing Grasslands Using Dynamic Prognostic Phenology Based on Biological Growth Stages: 1. Implementation in the Simple Biosphere Model (SiB4)[J],2019,11(12).
APA	Haynes K.D..,Baker I.T..,Denning A.S..,Stöckli R..,Schaefer K..,...&Haynes J.M..(2019).Representing Grasslands Using Dynamic Prognostic Phenology Based on Biological Growth Stages: 1. Implementation in the Simple Biosphere Model (SiB4).Journal of Advances in Modeling Earth Systems,11(12).
MLA	Haynes K.D.,et al."Representing Grasslands Using Dynamic Prognostic Phenology Based on Biological Growth Stages: 1. Implementation in the Simple Biosphere Model (SiB4)".Journal of Advances in Modeling Earth Systems 11.12(2019).