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DOI10.1016/j.ecolmodel.2019.03.001
Development of generic crop models for simulation of multi-species plant communities in mown grasslands
Movedi, Ermes1; Bellocchi, Gianni2; Argenti, Giovanni3; Paleari, Livia1; Vesely, Fosco1; Stagliano, Nicolina3; Dibari, Camilla3; Confalonieri, Roberto1
发表日期2019
ISSN0304-3800
EISSN1872-7026
卷号401页码:111-128
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.


WOS研究方向Environmental Sciences & Ecology
来源期刊ECOLOGICAL MODELLING
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/98736
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
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GB/T 7714
Movedi, Ermes,Bellocchi, Gianni,Argenti, Giovanni,et al. Development of generic crop models for simulation of multi-species plant communities in mown grasslands[J],2019,401:111-128.
APA Movedi, Ermes.,Bellocchi, Gianni.,Argenti, Giovanni.,Paleari, Livia.,Vesely, Fosco.,...&Confalonieri, Roberto.(2019).Development of generic crop models for simulation of multi-species plant communities in mown grasslands.ECOLOGICAL MODELLING,401,111-128.
MLA Movedi, Ermes,et al."Development of generic crop models for simulation of multi-species plant communities in mown grasslands".ECOLOGICAL MODELLING 401(2019):111-128.
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