Modelling the carbon cycle of Miscanthus plantations: existing models and the potential for their improvement
Modelling the carbon cycle of Miscanthus plantations: existing models and the potential for their improvement
复制标题
芒草种植园的碳循环建模：现有模型及其改进潜力
DOI：
--
复制
发表时间：
2015
期刊：
影响因子：
--
通讯作者：
N. McNamara
中科院分区：
文献类型：
--
作者：
A. Robertson;C. Davies;Pete Smith;M. Dondini;N. McNamara
The lignocellulosic perennial grass Miscanthus has received considerable attention as a potential bioenergy crop over the last 25 years, but few commercial plantations exist globally. This is partly due to the uncertainty associated with claims that land‐use change (LUC) to Miscanthus will result in both commercially viable yields and net increases in carbon (C) storage. To simulate what the effects may be after LUC to Miscanthus, six process‐based models have been parameterized for Miscanthus and here we review how these models operate. This review provides an overview of the key Miscanthus soil organic matter models and then highlights what measurers can do to accelerate model development. Each model (WIMOVAC, BioCro, Agro‐IBIS, DAYCENT, DNDC and ECOSSE) is capable of simulating biomass production and soil C dynamics based on specific site characteristics. Understanding the design of these models is important in model selection as well as being important for field researchers to collect the most relevant data to improve model performance. The rapid increase in models parameterized for Miscanthus is promising, but refinements and improvements are still required to ensure that model predictions are reliable and can be applied to spatial scales relevant for policy. Specific improvements, needed to ensure the models are applicable for a range of environmental conditions, come under two categories: (i) increased data generation and (ii) development of frameworks and databases to allow simulations of ranging scales. Research into nonfood bioenergy crops such as Miscanthus is relatively recent and this review highlights that there are still a number of knowledge gaps regarding Miscanthus specifically. For example, the low input requirements of Miscanthus make it particularly attractive as a bioenergy crop, but it is essential that we increase our understanding of the crop's nutrient remobilization and ability to host N‐fixing organisms to derive the most accurate simulations.
登录
查看更多内容
影响因子：
5.6
作者：
Dondini, Marta;Hastings, Astley;Smith, Pete
通讯作者：
Smith, Pete
影响因子：
3.1
作者：
Bell, M. J.;Jones, E.;Sommer, M.
通讯作者：
Sommer, M.
影响因子：
5.6
作者：
Hillier, Jonathan;Whittaker, Carly;Smith, Peter
通讯作者：
Smith, Peter
DOI：
10.1016/j.envsoft.2011.10.008
发表时间：
2012-03
期刊：
Environ. Model. Softw.
影响因子：
--
作者：
M. Pogson;A. Hastings;Pete Smith
通讯作者：
M. Pogson;A. Hastings;Pete Smith
使用 ECOSSE 估算苏格兰土壤碳储量的变化。
影响因子：
1.1
作者：
Smith J
通讯作者：
Smith J