Using functional traits to predict grassland ecosystem change: a mathematical test of the response‐and‐effect trait approach

By Katja Klumpp, Jean-François Soussana. 2009

99 citations recorded by the source corpus.

Subfields: Global and Planetary Change, Nature and Landscape Conservation, Soil Science

View Paper: https://www.semanticscholar.org/paper/8cff109687eb1a8c5fa73e31d7e65ddf838b240a

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In Global and Planetary Change

In Nature and Landscape Conservation

In Soil Science

Citations in the corpus

Single‐trait functional indices outperform multi‐trait indices in linking environmental gradients and ecosystem services in a complex landscape (2013, background): “…that seek to link the processes that drive functional composition and its effects on ecosystem function and ESs tend to utilize functional metrics based on individual traits (Díaz et al. 2007; Gross et al. 2008; Klumpp & Soussana 2009; Lavorel et al. 2011; but see Bernhardt-Roemermann et al. 2011).”
Patterns and thresholds of grazing‐induced changes in community structure and ecosystem functioning: species‐level responses and the critical role of species traits (2017, background): “Thirdly, many models and field studies have demonstrated that plant traits have direct correlations with ecosystem processes (Lavorel & Garnier 2002; Klumpp & Soussana 2009).”
GEMINI: a Grassland Model Simulating the Role of Plant Traits for Community Dynamics and Ecosystem F (2012, background): “6 Website of the GEMINI project: https://www1.clermont.inra.fr/urep/modeles/ gemini.htm. and by the structure of plant populations and communities (Suding et al., 2008; Klumpp and Soussana, 2009).”
Trait selection and community weighting are key to understanding ecosystem responses to changing precipitation regimes (2018, background): “Experimental tests of the response–effect trait framework have generally been conducted over short time- scales (i.e. 1–2 years; Klumpp & Soussana, 2009); however, climate change is expected to cause long- term chronic alterations in plant- available water (Smith et al., 2009).”
The distribution of below‐ground traits is explained by intrinsic species differences and intraspecific plasticity in response to root neighbours (2013, background): “…are a common measurement in ecosystem studies related to belowground processes such as root mortality, carbon allocation and soil carbon turnover (Litton, Raich & Ryan 2007; Klumpp & Soussana 2009), more detailed studies of interspecific interactions and intraspecific plasticity may be necessary.”
How fundamental plant functional trait relationships scale‐up to trade‐offs and synergies in ecosystem services (2012, background): “Few studies have provided direct evidence for this model so far (Gross et al. 2008; Suding & Goldstein 2008; Fortunel et al. 2009; Klumpp & Soussana 2009; Pakeman 2011), and to our knowledge, only one study used a SEM formulation for a formal test of sequential effects from environmental parameters…”
Relative contributions of plant traits and soil microbial properties to mountain grassland ecosystem services (2013, background): “However, this idea has not yet been tested due to the paucity of trait-based studies which have addressed specific belowground properties relevant to C and nutrient cycling (Garnier et al. 2004; Klumpp & Soussana 2009; Lavorel et al. 2011; Laliberté & Tylianakis 2012; Lienin & Kleyer 2012).”
Plant functional traits shape multiple ecosystem services, their trade‐offs and synergies in grasslands (2020, background): “Furthermore, root traits are thought to determine particular soil services (Faucon, Houben, & Lambers, 2017), but for root nitrogen content neither an effect on soil fertility (Klumpp & Soussana, 2009; Soussana & Lemaire, 2014) nor on biomass production (Schroeder-Georgi et al., 2016) was observed.”