Relative contribution of soil, management and traits to co-variations of multiple ecosystem properties in grasslands

Gos, Pierre; Loucougaray, Grégory; Colace, Marie‐Pascale; Arnoldi, Cindy; Gaucherand, Stéphanie; Dumazel, Daphné; Girard, Lucie; Delorme, Sarah

doi:10.1007/s00442-016-3551-3

Cited by 21 publications

(12 citation statements)

References 56 publications

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“…Cole et al () came to similar conclusions for grassland restoration, demonstrating that management practices increasing agricultural yields trade‐off with ecosystem stability. Thus, under current climate change context, a mosaic of permanent extensive and intensive grasslands should be favoured to optimize ecosystem services such as C storage, N retention, forage resilience, biodiversity maintenance and landscape cultural value (Andrieu, Josien, & Duru, ; Duru, Pontes, Schellberg, Theau, & Therond, ; Gos et al, ; Loucougaray et al, ).…”

Section: Discussionmentioning

confidence: 99%

Using proxies of microbial community‐weighted means traits to explain the cascading effect of management intensity, soil and plant traits on ecosystem resilience in mountain grasslands

et al. 2020

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1. Trait-based approaches provide a framework to understand the role of functional biodiversity on ecosystem functioning under global change. While plant traits have been reported as potential drivers of soil microbial community composition and resilience, studies directly assessing microbial traits are scarce, limiting our mechanistic understanding of ecosystem functioning.2. We used microbial biomass and enzyme stoichiometry, and mass-specific enzymes activity as proxies of microbial community-weighted mean (CWM) traits, to infer trade-offs in microbial strategies of resource use with cascading effects on ecosystem resilience. We simulated a drought event on intact plant-soil mesocosms extracted from mountain grasslands along a management intensity gradient.Ecosystem processes and properties related to nitrogen cycling were quantified before, during and after drought to characterize ecosystem resilience.3. Soil microbial CWM traits and ecosystem resilience to drought were strongly influenced by grassland type. Structural equation modelling revealed a cascading effect from management to ecosystem resilience through modifications in soil nutrients, and plant and microbial CWM traits. Overall, our results depict a shift from high investment in extracellular enzymes in nutrient-poor soils (oligotrophic strategy), to a copiotrophic strategy with low microbial biomass N:P and low investment in extracellular enzymes associated with exploitative plant traits in nutrient-rich soils.4. Microbial CWM traits responses to management intensity were highly related to ecosystem resilience. Microbial communities with a copiotrophic strategy had lower resistance but higher recovery to drought, while microbial communities with an oligotrophic strategy showed the opposite responses. The unexpected trade-off between plant and microbial resistance suggested that the lower resistance of copiotrophic microbial communities enabled plant resistance to drought. Synthesis.Grassland management has cascading effects on ecosystem resilience through its combined effects on soil nutrients and plant traits propagating to microbial traits and resilience. We suggest that intensification of permanent grassland management and associated increases in soil nutrient availability decreased | 877 Journal of Ecology PITON eT al. S U PP O RTI N G I N FO R M ATI O N Additional supporting information may be found online in the Supporting Information section. How to cite this article: Piton G, Legay N, Arnoldi C, Lavorel S, Clément J-C, Foulquier A. Using proxies of microbial community-weighted means traits to explain the cascading effect of management intensity, soil and plant traits on ecosystem resilience in mountain grasslands.

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Section: Discussionmentioning

confidence: 99%

Using proxies of microbial community‐weighted means traits to explain the cascading effect of management intensity, soil and plant traits on ecosystem resilience in mountain grasslands

et al. 2020

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“…Among most promising approaches, the scaling up of plant functional traits from field measurements to regional level (Ayanu et al 2012;Homolová et al 2013;Andrew et al 2014;Abelleira Martínez et al 2016;Pettorelli et al 2018) would allow us to extrapolate from previous plot-scale studies (e.g. Gos et al 2016 for grassland ES; Bartholomée et al 2018 for forest and grassland carbon stocks) using direct remotesensing estimations of biomass production, tree allometry, soil and plant nutrient content, soil and plant water content. While processing such data required great amount of expertise and computational infrastructure so far, the recent development of cloud based interfaces such as Google Earth Engine should boost their integration into ES mapping.…”

Section: Avenues For Improvement Of Es Modellingmentioning

confidence: 99%

Mapping ecosystem services bundles in a heterogeneous mountain region

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et al. 2019

Ecosystems and People

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Recent institutional and policy frameworks prescribe the incorporation of ecosystem services (ES) into land use management and planning, favouring co-production of ES assessments by stakeholders, land planners and scientists. Incorporating ES into land management and planning requires models to map and analyze ES. Also, because ES do not vary independently, many operational issues ultimately relate to the mitigation of ES trade-offs, so that multiple ES and their interactions need to be considered. Using a highly accurate LULC database for the Grenoble urban region (French Alps), we mapped twelve ES using a range of models of varied complexity. A specific, fine-grained (less than 1 ha) LULC database at regional scale (4450 km²) added great spatial precision in individual ES models, in spite of limits of the typological resolution for forests and semi-natural areas. We analysed ES bundles within three different socio-ecosystems and associated landscape types (periurban, rural and forest areas). Such type-specific bundles highlighted distinctive ES trade-offs and synergies for each landscape. Advanced approaches combining remote sensing, targeted field data collection and expert knowledge from scientists and stakeholders are expected to provide the significant progress that is now required to support the reduction of trade-offs and enhance synergies between management objectives.

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“…This suggests convergence of leaf traits of coexisting species under similar environmental conditions, despite the great genotypic diversity among these species (Reich et al, 2003). The LES seems to operate largely independent of growth form, plant functional type, or biome (Wright et al, 2004), and has been successfully linked to plant performance (Reich et al, 1998; Poorter and Bongers, 2006), species distribution and interactions (Sterck et al, 2006), and ecosystem processes and services (Reich et al, 1997; Díaz et al, 2004; Grigulis et al, 2013; Weemstra et al, 2016). …”

Section: Introductionmentioning

confidence: 99%

Root Branching Is a Leading Root Trait of the Plant Economics Spectrum in Temperate Trees

2017

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Global vegetation models use conceived relationships between functional traits to simulate ecosystem responses to environmental change. In this context, the concept of the leaf economics spectrum (LES) suggests coordinated leaf trait variation, and separates species which invest resources into short-lived leaves with a high expected energy return rate from species with longer-lived leaves and slower energy return. While it has been assumed that being fast (acquisitive) or slow (conservative) is a general feature for all organ systems, the translation of the LES into a root economics spectrum (RES) for tree species has been hitherto inconclusive. This may be partly due to the assumption that the bulk of tree fine roots have similar uptake functions as leaves, despite the heterogeneity of their environments and resources. In this study we investigated well-established functional leaf and stature traits as well as a high number of fine root traits (14 traits split by different root orders) of 13 dominant or subdominant temperate tree species of Central Europe, representing two phylogenetic groups (gymnosperms and angiosperms) and two mycorrhizal associations (arbuscular and ectomycorrhizal). We found reflected variation in leaf and lower-order root traits in some (surface areas and C:N) but not all (N content and longevity) traits central to the LES. Accordingly, the LES was not mirrored belowground. We identified significant phylogenetic signal in morphological lower-order root traits, i.e., in root tissue density, root diameter, and specific root length. By contrast, root architecture (root branching) was influenced by the mycorrhizal association type which developed independent from phylogeny of the host tree. In structural equation models we show that root branching significantly influences both belowground (direct influence on root C:N) and aboveground (indirect influences on specific leaf area and leaf longevity) traits which relate to resource investment and lifespan. We conclude that branching of lower order roots can be considered a leading root trait of the plant economics spectrum of temperate trees, since it relates to the mycorrhizal association type and belowground resource exploitation; while the dominance of the phylogenetic signal over environmental filtering makes morphological root traits less central for tree economics spectra across different environments.

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Relative contribution of soil, management and traits to co-variations of multiple ecosystem properties in grasslands

Cited by 21 publications

References 56 publications

Using proxies of microbial community‐weighted means traits to explain the cascading effect of management intensity, soil and plant traits on ecosystem resilience in mountain grasslands

Using proxies of microbial community‐weighted means traits to explain the cascading effect of management intensity, soil and plant traits on ecosystem resilience in mountain grasslands

Mapping ecosystem services bundles in a heterogeneous mountain region

Root Branching Is a Leading Root Trait of the Plant Economics Spectrum in Temperate Trees

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