Coffee agroforestry systems in Central America: II. Development of a simple process-based model and preliminary results

Oijen, Marcel van; Dauzat, Jean; Harmand, Jean‐Michel; Lawson, G. J.; Vaast, Philippe

doi:10.1007/s10457-010-9291-1

Cited by 72 publications

(45 citation statements)

References 36 publications

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“…To date, the framework of a conservative LUE (Monteith & Moss 1977;Paul & Foyer 2001) has been widely applied in crop and vegetation epsilon models to infer NPP (Cramer et al 1999;Paul & Foyer 2001), even in agroforestry (Monteith et al 1991;Charbonnier et al 2014). Although several models either adjust the maximum value of LUE as a function of stresses, apply a separate LUE for sunlit and shade leaves (Paul & Foyer 2001;Zhou et al 2015) or derive LUE from Farquhar biochemical model of photosynthesis (Paul & Foyer 2001;van Oijen et al 2004;van Oijen et al 2010), none incorporate such a large intra-plot variability of LUE, as shown in our study in an heterogeneous system. We argue here that models which are able to adjust LUE explicitly with fine resolution in heterogeneous systems have the potential to improve the reliability of GPP predictions dramatically, for plants and for plots.…”

Section: Importance Of Variable Light-use Efficiency For Modellingmentioning

confidence: 96%

Increased light‐use efficiency sustains net primary productivity of shaded coffee plants in agroforestry system

Charbonnier

Roupsard

Maire

et al. 2017

Plant Cell & Environment

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In agroforestry systems, shade trees strongly affect the physiology of the undergrown crop. However, a major paradigm is that the reduction in absorbed photosynthetically active radiation is, to a certain extent, compensated by an increase in light-use efficiency, thereby reducing the difference in net primary productivity between shaded and non-shaded plants. Due to the large spatial heterogeneity in agroforestry systems and the lack of appropriate tools, the combined effects of such variables have seldom been analysed, even though they may help understand physiological processes underlying yield dynamics. In this study, we monitored net primary productivity, during two years, on scales ranging from individual coffee plants to the entire plot. Absorbed radiation was mapped with a 3D model (MAESPA). Light-use efficiency and net assimilation rate were derived for each coffee plant individually. We found that although irradiance was reduced by 60% below crowns of shade trees, coffee light-use efficiency increased by 50%, leaving net primary productivity fairly stable across all shade levels. Variability of aboveground net primary productivity of coffee plants was caused primarily by the age of the plants and by intraspecific competition among them (drivers usually overlooked in the agroforestry literature) rather than by the presence of shade trees.

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Section: Importance Of Variable Light-use Efficiency For Modellingmentioning

confidence: 96%

Increased light‐use efficiency sustains net primary productivity of shaded coffee plants in agroforestry system

Charbonnier

Roupsard

Maire

et al. 2017

Plant Cell & Environment

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“…Weather generator interpolation algorithms must be employed to derive estimates of daily time series (e.g. Van Oijen et al 2010).…”

Section: Weather Datamentioning

confidence: 99%

Coffee agroforestry systems in Central America: I. A review of quantitative information on physiological and ecological processes

et al. 2010

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Coffee is widely grown across Central America at altitudes between 600 and 2500 m, mostly in association with trees that provide shade and other services. Research on coffee agroforestry systems has identified many environmental factors, management strategies and plant characteristics that affect growth, yield and environmental impact of the system. Much of this literature only presents qualitative estimates of the importance of the different growth determining factors, or highly site-specific estimates. Quantitative information is required to allow statistical analysis or the construction of process-based models of the system. Here, we review the available quantitative information for the latter purpose, with emphasis on the data needs for modelling agroforestry systems common in Central America. Process-based models require environmental data-weather, soil-and data on the physiological characteristics of the coffee plants and trees. Our review showed that the current literature is insufficient to allow full parameterisation of a process-based model for any coffee-tree combination. Information on weather, coffee and trees is highly limited, but soil information seems more adequate. A regional network of replicated multi-factorial experiments, focusing on the interactive effects of different environmental factors, may help address the main knowledge gaps. (Résumé d'auteur

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“…Providing empirical evidence on which factors explain the largest proportion of ITV in coffee (and other crops) is critical for refining trait sampling designs (e.g. Carmona et al 2015) and for integrating ITV into crop models (van Oijen et al 2010;Charbonnier et al 2013).…”

Section: Introductionmentioning

confidence: 99%

Intraspecific trait variation across multiple scales: the leaf economics spectrum in coffee

et al. 2016

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Summary Understanding species differences in plant functional traits has been critical in developing a mechanistic understanding of terrestrial ecological processes. Greater attention is now being placed on understanding the extent, causes and consequences of intraspecific trait variation (ITV). ITV is especially important in governing ecological processes in cropping systems, where only a small number of species or genotypes exist in high abundances. However, it remains unclear if key principles of trait‐based ecology – namely the leaf economics spectrum (LES) – also describe intraspecific variation in crop functional biology. There also remains a need to understand whether ITV within crops is random, or structured across environmental, management‐related or biological levels of organization in agroecosystems. We employed a nested design field survey to evaluate ITV in leaf traits in coffee (Coffea arabica), one of the world's most widespread tropical crops. We evaluated ITV in eight physiological, morphological and chemical leaf traits, across five nested categorical levels (sites, management systems, spatial location, plant identity, branch identity). We compared patterns of LES trait covariation in coffee, to interspecific patterns observed across over 700 wild plant species. Patterns of bivariate and multivariate ITV in coffee were broadly consistent with, but considerably weaker than, interspecific patterns associated with the LES, indicating that crops may systematically diverge from global patterns of trait trade‐offs observed in wild plants. Physiological traits varied most widely (coefficient of variation (cv) 42–107%), followed by morphological traits (cv = 15–38%) and chemical traits (cv = 3–11%). Physiological ITV was best explained by the site in which a coffee plant was growing (17–55% explained), while ITV for chemical traits was best explained by management treatments within sites (25–36%); morphological ITV was higher even at the individual tree level or branch level and remained largely unexplained. Our results support the hypothesis that artificial selection and high‐resource agricultural environments lead crops to systematically deviate from patterns of leaf trait covariation observed across wild plants species. Coupled with an understanding of how different traits vary systematically across multiple levels of biological organization, these findings help integrate ITV into future analyses of agroecosystem structure and function. A http://onlinelibrary.wiley.com/doi/10.1111/1365-2435.12790/suppinfo is available for this article.

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Coffee agroforestry systems in Central America: II. Development of a simple process-based model and preliminary results

Cited by 72 publications

References 36 publications

Increased light‐use efficiency sustains net primary productivity of shaded coffee plants in agroforestry system

Increased light‐use efficiency sustains net primary productivity of shaded coffee plants in agroforestry system

Coffee agroforestry systems in Central America: I. A review of quantitative information on physiological and ecological processes

Intraspecific trait variation across multiple scales: the leaf economics spectrum in coffee

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