globalchange  > 过去全球变化的重建
DOI: 10.1016/j.ecolmodel.2019.03.001
WOS记录号: WOS:000467667200010
论文题名:
Development of generic crop models for simulation of multi-species plant communities in mown grasslands
作者: Movedi, Ermes1; Bellocchi, Gianni2; Argenti, Giovanni3; Paleari, Livia1; Vesely, Fosco1; Stagliano, Nicolina3; Dibari, Camilla3; Confalonieri, Roberto1
通讯作者: Movedi, Ermes ; Confalonieri, Roberto
刊名: ECOLOGICAL MODELLING
ISSN: 0304-3800
EISSN: 1872-7026
出版年: 2019
卷: 401, 页码:111-128
语种: 英语
英文关键词: CoSMo ; Forage production ; Grass-legume mixtures ; Grassland modelling ; Plant diversity ; Relative abundance
WOS关键词: CLIMATE-CHANGE ; LIVESTOCK SYSTEMS ; EUROPE ; IMPACT ; CARBON ; NITROGEN ; YIELD ; WHEAT ; VALIDATION ; MANAGEMENT
WOS学科分类: Ecology
WOS研究方向: Environmental Sciences & Ecology
英文摘要:

Plant diversity supports the high aptitude of grassland covers to provide fodder production for animal feeding and contribute to the storage of carbon, while also granting pollination and aesthetics of landscapes. This ability depends on the management intensity of the grassland system, physical constraints and climatic characteristics. Most of current grassland models simulating the impact of weather conditions, soil fertility and the intensity of use of grassland systems (by grazing and/or mowing) on fodder production and carbon-nitrogen fluxes inherit eco-physiological and biophysical details from crop models without considering explicitly temporal changes in taxonomic and functional composition. The dynamic grassland model CoSMo (COmmunity Simulation MOdel) includes a set of rules to simulate explicitly seasonal changes in species composition of managed grasslands under various soil, climate and management drivers, and it is consistent with the degree of complexity of the most generic crop simulators. The incorporation of CoSMo functionalities into the standalone crop simulators CropSyst and WOFOST is proposed as a way to: (i) reduce the uncertainty in estimations of harvested aboveground biomass (AGB) and (ii) simulate dynamically the relative abundance of species (for respectively the whole community and individual species). Considering three mixtures of grassland species (with increasing complexity from Mix 1 to Mix 3) in a mown hay meadow in central Italy (Massa Marittima, 43 degrees 03' N, 10 degrees 53' E, 380 m a.s.l.), we show that CoSMo overall improved the model ability to reproduce observed AGB in Mix 1 and 2 (e.g. with CropSyst in Mix 2 relative root mean square error [RRMSE] lowered from 35.01 to 25.27%) while the model performance for Mix 3 appeared as not unambiguously linked to considering plant diversity. An assessment of the relative abundance estimates for the whole community indicates 30% < RRMSE < 40% with both CoSMo-coupled CropSyst and WOFOST in Mix 1 and Mix 2, while it increases up to similar to 60% in Mix 3. The consequences of explicitly accounting for plant diversity for simulated grassland outputs depend on the conditions evaluated, which require further studies. However, our results suggest that grassland modelling omitting plant diversity dynamics are likely over- or underestimating harvested biomass of the plant community, thus biasing projections of future fodder production and estimates of animal feed supplies. This work proves for the first time that CoSMo can support the simulation of grassland systems beyond its theoretical framework.


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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/139772
Appears in Collections:过去全球变化的重建

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作者单位: 1.Univ Milan, Cassandra Lab, Via Celoria 2, I-20133 Milan, Italy
2.UCA, INRA, VetAgro Sup, Unite Mixte Rech Ecosyst Prairial UREP, F-63000 Clermont Ferrand, France
3.Univ Florence, DISPAA, Piazzale Cascine 18, I-50144 Florence, Italy

Recommended Citation:
Movedi, Ermes,Bellocchi, Gianni,Argenti, Giovanni,et al. Development of generic crop models for simulation of multi-species plant communities in mown grasslands[J]. ECOLOGICAL MODELLING,2019-01-01,401:111-128
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