Differential effects of functional traits on aboveground biomass in semi-natural grasslands.
By J. Schumacher, C. Roscher. 2009
112 citations recorded by the source corpus.
Subfields: Ecology, Evolution, Behavior and Systematics, Forestry, Nature and Landscape Conservation
View Paper: https://www.semanticscholar.org/paper/36594155bcd50d6dff57d655f5f0ee6a3b990d73
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Ecology, Evolution, Behavior and Systematics
- S. Lavorel
- Francesco de Bello
- K. Grigulis
- Barbara C. Schmid
- M. Moretti
- A. Weigelt
- Alexandra-Maria Klein
- C. Roscher
In Forestry
- S. Lavorel
- Francesco de Bello
- K. Grigulis
- J. Schumacher
- Barbara C. Schmid
- E. Schulze
- G. Conti
- Sandra Díaz
In Nature and Landscape Conservation
- S. Lavorel
- Francesco de Bello
- K. Grigulis
- Sandra Díaz
- Barbara C. Schmid
- M. Moretti
- A. Weigelt
- G. Conti
Citations in the corpus
- Plant functional effects on ecosystem services (2013, background): “However, recent studies have reported not only positive FD effects (Schumacher & Roscher 2009; Mouillot et al. 2011), but also negative ones (Lalibert e & Tylianakis 2012).”
- Functional flower traits and their diversity drive pollinator visitation (2017, background): “Few examples follow this approach and the majority identifies mass-ratio effects as main driver (Díaz et al. 2007, Mokany et al. 2008, Schumacher and Roscher 2009, Laughlin 2011, Lavorel et al. 2011, Mouillot et al. 2011, but see Schuldt et al. 2014).”
- Plant functional diversity and carbon storage – an empirical test in semi‐arid forest ecosystems (2013, background): “Very few other works have empirically tested different components of functional diversity in natural ecosystems (Thompson et al. 2005; Mokany, Ash & Roxburgh 2008; Schumacher & Roscher 2009), and even less work has been performed in woody ecosystems, which in general offer a complex picture.”
- Do plant traits retrieved from a database accurately predict on‐site measurements? (2013, unknown): “…& de Bello 2009; Kattge et al. 2011) has facilitated ecologists in using trait-based approaches on large vegetation data sets (Baker et al. 2004; Wright et al. 2004; Ozinga et al. 2005; ter Steege et al. 2006; Swenson et al. 2007; Schumacher & Roscher 2009; Thompson et al. 2010; Pakeman 2011).”
- Relative contributions of plant traits and soil microbial properties to mountain grassland ecosystem services (2013, result): “Our results are consistent with previous studies which show that leaf and size traits explained 60─80% of variance in ANPP (Garnier et al. 2004; Ansquer et al. 2009; Schumacher & Roscher 2009; Lavorel et al. 2011; Minden & Kleyer 2011; Laliberté & Tylianakis 2012; Lienin & Kleyer 2012).”
- How fundamental plant functional trait relationships scale‐up to trade‐offs and synergies in ecosystem services (2012, background): “…random samples of equal biomass within a community (Lepš et al. 2006), have been harder to demonstrate (Dı́az et al. 2007a; Mokany, Ash & Roxburgh 2008; Laughlin 2011; but see Schumacher & Roscher 2009), and therefore their incorporation is not detailed in this first presentation of the framework.”
- A trait-based experimental approach to understand the mechanisms underlying biodiversity–ecosystem functioning relationships (2014, unknown): “Indeed, many recent 130 studies (Díaz, Lavorel, de Bello, Quétier, Grigulis, et al., 2007; Mokany, Ash, & Roxburgh, 2008; Schumacher & Roscher, 2009; Roscher, Schumacher, Gubsch, Lipowsky, Weigelt, et al., 2012) have shown that both positive selection and complementarity effects explain higher…”
- A functional trait-based approach to understand community assembly and diversity-productivity relationships over 7 years in experimental grasslands (2013, background): “In semi-natural grassland systems, environmental conditions such as fertilization have large effects on community mean traits, which in turn correlate with levels of productivity, but functional trait diversity has additional positive effects on primary productivity (Díaz et al., 2007; Mokany et al.”
- An experimental framework to identify community functional components driving ecosystem processes and services delivery (2013, methodology): “However, Schumacher & Roscher (2009) showed for grasslands that adding FD of plant height, leaf area and life cycle to models relating abiotic factors and CWM to above-ground primary productivity increased the amount of explained variation considerably.”