Biodiversity for multifunctional grasslands: Equal productivity in high-diversity low-input and low-diversity high-input systems

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Abstract

Modern grassland management seeks to provide many ecosystem services and experimental studies in resource-poor grasslands have shown a positive relationship between plant species richness and a variety of ecosystem functions. Thus, increasing species richness might help to enhance multifunctionality in managed grasslands if the relationship between species richness and ecosystem functioning is equally valid in high-input grassland systems. We tested the relative effects of low-input to high-input management intensities and low to high plant species richness. Using a combination of mowing frequencies (1, 2 or 4 cuts per season) and fertilisation levels (0, 100 and 200 kgNha-1 a-1), we studied the productivity of 78 exper imental grassland communities of increasing plant species richness (1, 2, 4, 8 or 16 species with 1 to 4 functional groups) in two successive years. Our results showed that in both years higher diversity was more effective in increasing productivity than higher management intensity: the 16-species mixtures had a surplus of 449 gm-2 y-1 in 2006 and 492 gm-2 y-1 in 2007 over the monoculture yields whereas the high-input management resulted in only 315 gm-2 y-1 higher productivity in 2006 and 440 gm-2 y-1 in 2007 than the low-input management. In addition, high-diversity low-input grassland communities had similar productivity as low-diversity high-input commu nities. The slopes of the biodiversity - productivity relationships signi?cantly increased with increasing levels of management intensity in both years. We conclude that the biological mechanisms leading to enhanced biomass production in diverse grassland communities are as effective for productivity as a combination of several agricultural measures. Our results demonstrate that high-diversity low-input grassland communities provide not only a high diversity of plants and other organisms, but also ensure high forage yields, thus granting the basis for multifunctional managed grasslands. © Author(s) 2009.

Figures

  • Table 1. The management intensity gradient. Treatments are established on subplots within larger experimental plots except the M2 F0 which represents the management intensity of the whole experimental field. Mowing frequency (M) is given in cuts per year, all fertilisation values (F) are given in kg ha−1 a−1. Nitrogen is applied as NO3-N and NH4-N in equal proportions, phosphorus as P2O5-P and potassium as K2O-K. The last column gives the gradient of increasing management intensity used for linear fit in model 1 (see Table 3).
  • Table 2. Split-plot analysis of variance of aboveground biomass production per year. The table gives the order in which terms were entered into the model. Numbered terms (first column) were additionally fit as contrasts in three separate models. These models are given in Tables 3–5. P-values in bold represent significant factors in the models.
  • Table 3. Split-plot analysis of variance of aboveground biomass production per year using the same fitting sequence as in Table 2 except for the terms numbered in the first column. These 6 terms were decomposed into linear contrasts and deviations between linear and categorical effects. The linear management gradient was defined as given in Table 1. Some terms were subsumed to minimise overlap between Table 2 and 3. P-values in bold represent significant factors in the models.
  • Table 4. Split-plot analysis of variance of aboveground biomass production per year using the same fitting sequence as in Table 2 except for the terms numbered in the first column. These 4 terms were decomposed into categorical contrasts of mowing and fertilisation to explain the underlying effects of mowing frequency and fertiliser application. Mowing was fitted first in this table and fertilisation in Table 5. Some terms were subsumed to minimise overlap between Tables 2 and 4. P-values in bold represent significant factors in the models.
  • Table 5. Split-plot analysis of variance of aboveground biomass production per year using the same fitting sequence as in Table 2 except for the terms numbered in the first column. These 4 terms were decomposed into categorical contrasts of mowing and fertilisation to explain the underlying effects of mowing frequency and fertiliser application. Fertilisation was fitted first in this table and mowing in Table 4. Some terms were subsumed to minimise overlap between Tables 2 and 5. P-values in bold represent significant factors in the models.
  • Fig. 1. Aboveground biomass in 2006 (upper panels) and 2007 (lower panels). Means (±SE) for species richness and functional group richness are given for all five treatments (abbreviations as given in Table 1). The 60 species mixtures (60) and the reference plots (R) were not included in the linear regressions which were all significant (p<0.05). The reference plots represent aboveground biomass in 2006 for conventional permanent grassland (white circle) and grass-clover mixtures (white square) for comparable sites in Thuringia.
  • Fig. 2. Aboveground biomass of plots without legumes (white bars) and with legumes (grey bars) in 2006 (open bars) and 2007 (hatched bars). Means over all plots are given for the management intensity gradient. The dashed line separates the non-fertilised (left) from the fertilised (right) plots.

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CITATION STYLE

APA

Weigelt, A., Weisser, W. W., Buchmann, N., & Scherer-Lorenzen, M. (2009). Biodiversity for multifunctional grasslands: Equal productivity in high-diversity low-input and low-diversity high-input systems. Biogeosciences, 6(8), 1695–1706. https://doi.org/10.5194/bg-6-1695-2009

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