Using Functional Traits to Assess the Services Provided by Cover Plants

Damour, Gaëlle; Garnier, Éric; Navas, M. L.; Dorel, Marc; Risède, Jean-Michel

doi:10.1016/bs.agron.2015.06.004

Cited by 27 publications

(23 citation statements)

References 156 publications

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“…Service crops are grown to provide ecosystem services such as weed control, erosion mitigation, or soil fertility improvement (Finney et al 2016, Finney and Kaye 2017, Blesh 2018, Garcia et al 2019), in contrast to traditional marketed crops, or cash crops, that are grown for the production of food, fiber, or fuel (Garcia et al 2018). In vineyards, the trait‐based approach seems hopeful to understand the composition of spontaneous flora (Fried et al 2019), to assess the effect of plant communities (sown or spontaneous species) on the agrosystem functioning (Kazakou et al 2016, Garcia et al 2019), and to identify service crops’ ability to provide services (Damour et al 2014, 2015). Identifying such ideotypes of service crops may help vinegrowers to choose appropriate associated species (sown or spontaneous) to fulfill ecosystem services in vineyards (e.g., weed control, runoff and erosion mitigation, soil fertility improvement) and avoid yield loss due to competition for soil resources (Garcia et al 2018).…”

Section: Introductionmentioning

confidence: 99%

“…The specific leaf area (SLA), leaf dry matter content (LDMC), plant dry matter content (DMC), and plant height were chosen for this study. Indeed, the SLA is related to plant photosynthetic capacity and relative growth rate (Lambers and Poorter 2004, Poorter and Garnier 2007), and may be a relevant indicator of competitive growth against weeds (Damour et al 2015), or potential soil cover speed against erosion (Durán Zuazo and Rodríguez Pleguezuelo 2008). Moreover, the SLA is widely used in trait‐variability studies (Roche et al 2004, Al Haj Khaled et al 2005, Siefert 2015) as one of the fundamental traits of the leaf economic spectrum that summarizes variation in plant ecological strategies worldwide (Westoby and Wright 2006).…”

Section: Introductionmentioning

confidence: 99%

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Seasonal and interannual variations in functional traits of sown and spontaneous species in vineyard inter‐rows

et al. 2020

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The trait‐based approach can address questions in order to understand how the functioning of organisms scales up to that of ecosystems and controls some of the services they deliver to humans, including in agriculture. However, the importance of interspecific vs the intraspecific trait variability (ITV) for classifying species according to their traits in agrosystems on a large diversity of pedoclimatic situations and cropping systems remains still open. Here, we addressed three questions: How do measured traits vary across years and seasons? Are species rankings conserved across years and season? And which traits and species are the more stable and repeatable for sown and spontaneous species? We conducted a two‐year experiment in a vineyard, and we measured four leaf and plant functional traits of 14 sown species and 43 spontaneous species that grew among sown species. Traits were measured at two key phenological stages for grapevine: budburst and flowering during two successive years with contrasted rainfall (2017 and 2018). We studied seasonal and interannual trait variations, rankings between species, and variance partitioning. The species factor explained the greatest part of trait variations across years and seasons. Sown and spontaneous species traits varied in the same way, and traits related to plant dry matter contents were the more stable across periods. Moreover, species rankings were conserved across years and seasons for all traits except plant height. Sown species showed better ranking conservation than spontaneous species overall. The trait‐based approach seems promising for the comparison of various cropping systems involving sown and spontaneous species, and may help identifying service crop species related to specific agroecosystem services. Further research is needed to bring more knowledge on trait variations under a diversity of agrosystems, and to improve theoretical frameworks that would help the design of sustainable agrosystems that provide multiple ecosystem services.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Seasonal and interannual variations in functional traits of sown and spontaneous species in vineyard inter‐rows

et al. 2020

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“…While the roles of crop spatial arrangement (e.g. Ratnadass et al., ) and plant density (from theoretical analysis, Damour et al., ) on important agroecosystem processes have been shown (see hypothesis in the illustration of Box —point 4), knowledge, methods and theory to scale‐up from the individual plant traits to the community level commonly developed for natural ecosystems (Garnier et al., ; Lavorel, ; Lavorel et al., ; Shipley, Vile, & Garnier, ) have not explicitly incorporated information on species‐specific density and spatial arrangement (Damour et al., ). Metrics of community functional structure that account for the effects of density and plant spatial arrangement have to be designed (expressing community functional structure on a soil area basis, integrating plant spatial arrangement, etc.)…”

Section: Specificities Of the Framework Related To Decision Rulesmentioning

confidence: 99%

“…Metrics of community functional structure that account for the effects of density and plant spatial arrangement have to be designed (expressing community functional structure on a soil area basis, integrating plant spatial arrangement, etc.) (Damour et al., ). Recent attempts for linking spatial patterns of functional diversity to assembly processes in ecosystems using spatial autocorrelation analysis have been made (e.g.…”

Section: Specificities Of the Framework Related To Decision Rulesmentioning

confidence: 99%

“…This high ITV could impair our ability to predict ecosystem services from effect trait measurements conducted at a single point in time during the growing season. Beyond the identification of situations in which ITV should be taken into account (Albert, Grassein, Schurr, Vieilledent, & Violle, 2011;Damour et al, 2015;Wood et al, 2015), these studies suggest adapting the protocols for trait measurements e.g. to account for interindividual variability (Violle et al, 2012), to assess "environmental associations"…”

Section: Dealing With Intraspecific Trait Variabilitymentioning

confidence: 99%

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A revised trait‐based framework for agroecosystems including decision rules

Damour

Navas

Garnier

2017

Journal of Applied Ecology

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Abstract1. Designing agroecological cropping systems, which have enhanced biodiversity and that improve agroecosystem services, is recognized as the most likely method of improving the environmental sustainability of agriculture. However, tools and methods for designing such systems are lacking.2. To help to fill this gap, we propose a revised trait-based response/effect framework as applied to agroecosystems, which takes into account farmers' decision rules.3. The framework consists of a "Biophysical module", which describes the biophysical functioning of the agroecosystem on a response/effect traits basis and a "Decision module", which encompasses the farmer's choices that follow decision rules, to account for the high degree of human control of filters and community structure operating in cultivated systems.4. The introduction of the Decision module and its interactions with the Biophysical module opens new research priorities related to trade-offs between services, to species choice and to the relationships between the community composition, functional structure and the functions. Synthesis and applications.We proposed a revised trait-based response/effect framework as applied to agroecosystems, which incorporates farmers' decisions.This framework has great potential to address questions related to the strategic choices associated with multispecies cropping system design, from plant (species choices) to community (optimization of community composition) scales. It also contributes to improving the rationale to manage multifunctional agroecosystems, which extend beyond yield alone, by enabling the exploration of trade-offs between ecosystem services. K E Y W O R D S

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Polyculture Management: A Crucial System for Sustainable Agriculture Development

Adamczewska-Sowińska

Sowiński

2019

Soil Health Restoration and Management

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Using Functional Traits to Assess the Services Provided by Cover Plants

Cited by 27 publications

References 156 publications

Seasonal and interannual variations in functional traits of sown and spontaneous species in vineyard inter‐rows

Seasonal and interannual variations in functional traits of sown and spontaneous species in vineyard inter‐rows

A revised trait‐based framework for agroecosystems including decision rules

Polyculture Management: A Crucial System for Sustainable Agriculture Development

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