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Ecological intensification increases soil C stocks via changes in crop residue traits Pablo García-Palacios, Andreas Gattinger & the Eco-Serve consortium Universidad Rey Juan Carlos; FIBL Research Institute of Organic Agriculture; University of Coimbra; University of Wageningen; University of Lund; University of Grenoble Ecological intensification (EI) practices such as organic farming (OF) enhance soil C stocks. However, increased C inputs typical of OF are not enough to explain why OF outweighs the C sequestration capacity of conventional farming (CF). Higher soil C stocks are also found in organic farms with low manure rates, and C inputs via plant residues from crop production are likely lower under OF. Thus, altered soil C losses (e.g. decomposition rates of residues) between farming systems might play a role. Here we assess whether changes in crop residue traits that are key for decomposition, and thus influence soil C loss, drive soil C sequestration responses to OF. Specifically, we tested the hypotheses that (1) crop residue traits are as important as fertilization inputs and climate to determine soil C storage responses to organic farming; and (2) that EI enhances soil C storage by reducing crop residue quality for decomposers (low N concentration). Using a global meta-analysis on case studies reporting OF vs CF paired farms, we found support for OF increasing SOC (Fig 2). Also, we found that the positive OF effect on soil C sequestration was dependent on the leaf nitrogen (N) concentration of each crop species. The positive OF effect on soil C sequestration at global scales was dependent on the crop leaf N concentration (Fig 3). Crop residue changes with management were further investigated across six European sites comparing ecological (e.g. organic) vs. conventional intensification (Fig 1). Increased crop residue lability (e.g. high leaf N) promoted higher and lower SOC stocks, respectively, in conventional and in ecological intensification (Fig 4). Thus, intraspecific changes towards crop residue lability in conventional intensification were related with a higher response of SOC stocks to OF. We have shown that the phenotypic traits of crops and their residues modulate the response of SOC to agricultural practices. Therefore, a trait- based framework of crop residues is fundamental when evaluating the ecosystem services delivered by ecological intensification practices such as organic farming. Fig. 2: Effects of organic compared with conventional farming (OF-effects) on soil C and respiration in global meta-analyses. Data are standardized mean differences (Cohen’s d) in soil respiration, SOC stocks and SOC sequestration (seq) between OF and CF across farms worldwide. The bars around the means are bias-corrected 95%-bootstrap confidence intervals. If they do not overlap with zero, the means are significantly different from zero. Analyses were conducted separately for all case studies (black circles) and for comparisons where organic farms applied low manure rates (LMR, grey circles). Number of study cases are shown in brackets. Fig 4: Members of the Eco-Serve consortium at Frick (Switzerland). 17 th January 2017 Fig. 3: Structural equation models testing the importance of crop resource economics traits on the effects of organic farming (OF-effects) on SOC stocks (a) and sequestration rates (b) in global meta-analyses. The Cohen’s d (standardized mean difference between OF and CF) is computed as the response variable (in brown). The model also includes the influence of fertilization intensity (annual C and N inputs, in grey), mean annual temperature (MAT, in red), and crop R:S ratio (in dark green). Continuous and dashed arrows are positive and negative relationships, respectively. The widths of the arrows are proportional to the strength of the path coefficients. Non-significant (P > 0.05) path coefficients are softened. Goodness-of-fit metrics for each model are: SOC stocks (Bootstrap P = 0.251; RMSEA = 0.035, P = 0.476; GFI = 0.997) and SOC sequestration (Bootstrap P = 0.472; RMSEA = 0.042, P = 0.426; GFI = 0.496). R 2 SOCstocks = 0.23, R 2 SOCseq = 0.24 Fig. 1: Conventional vs Ecological Intensification trials and experimental fields in five different types of agroecosystems across Europe Fig. 4: Changes in crop residue traits account for the effect of ecological intensification (EI) on SOC stocks across six European sites. Relationships between the effect sizes of EI (lnRR, the ratio of ecological intensive to conventional farming) on SOC stocks and on crop leaf litter N concentration. The predicted- relationship (dashed line) and the 95 % confidence intervals are shown (dotted lines). P < 0.01, n = 31. Montados under ecological or conventional intensification, Portugal Arable lands with different rotation practices, Sweden Long-term DOK experiment, Switzerland Extensive and intensive grasslands, France Organic vs convential farming trials in The Netherlands INTRODUCTION OBJECTIVES MAIN RESULTS CONCLUSION

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Page 1: Ecological intensification increases soil C stocks via ... · Continuous and dashed arrows are positive and negative relationships, respectively. The widths of the arrows are proportional

Ecological intensification increases soil C stocks via changes in crop residue traits

Pablo García-Palacios, Andreas Gattinger & the Eco-Serve consortiumUniversidad Rey Juan Carlos; FIBL Research Institute of Organic

Agriculture; University of Coimbra; University of Wageningen; University of Lund; University of Grenoble

Ecological intensification (EI)practices such as organic farming(OF) enhance soil C stocks.However, increased C inputstypical of OF are not enough toexplain why OF outweighs the Csequestration capacity ofconventional farming (CF). Highersoil C stocks are also found inorganic farms with low manurerates, and C inputs via plantresidues from crop production arelikely lower under OF. Thus,altered soil C losses

(e.g. decomposition rates ofresidues) between farming systemsmight play a role.

Here we assess whether changesin crop residue traits that are keyfor decomposition, and thusinfluence soil C loss, drive soil Csequestration responses to OF.Specifically, we tested thehypotheses that (1) crop residuetraits are as important asfertilization inputs and climate todetermine soil C storageresponses to organic farming; and(2) that EI enhances soil C

storage by reducing crop residuequality for decomposers (low Nconcentration).

Using a global meta-analysis oncase studies reporting OF vs CFpaired farms, we found supportfor OF increasing SOC (Fig 2).Also, we found that the positiveOF effect on soil C sequestrationwas dependent on the leafnitrogen (N) concentration ofeach crop species. The positiveOF effect on soil C sequestrationat global scales was dependent onthe crop leaf N concentration (Fig3). Crop residue changes withmanagement were furtherinvestigated across six Europeansites comparing ecological (e.g.organic) vs. conventionalintensification (Fig 1). Increasedcrop residue lability (e.g. high leafN) promoted higher and lowerSOC stocks, respectively, inconventional and in ecologicalintensification (Fig 4). Thus,intraspecific changes towardscrop residue lability inconventional intensification wererelated with a higher response ofSOC stocks to OF.

We have shown that thephenotypic traits of crops andtheir residues modulate theresponse of SOC to agriculturalpractices. Therefore, a trait-based framework of cropresidues is fundamental whenevaluating the ecosystemservices delivered by ecologicalintensification practices such asorganic farming.

Fig. 2: Effects of organic compared withconventional farming (OF-effects) on soil Cand respiration in global meta-analyses. Dataare standardized mean differences (Cohen’s d)in soil respiration, SOC stocks and SOCsequestration (seq) between OF and CF acrossfarms worldwide. The bars around the meansare bias-corrected 95%-bootstrap confidenceintervals. If they do not overlap with zero, themeans are significantly different from zero.Analyses were conducted separately for allcase studies (black circles) and forcomparisons where organic farms applied lowmanure rates (LMR, grey circles). Number ofstudy cases are shown in brackets.

Fig 4: Members of the Eco-Serveconsortium at Frick (Switzerland). 17th

January 2017

Fig. 3: Structural equation models testing the importance of crop resource economics traits on the effects of organic farming (OF-effects)on SOC stocks (a) and sequestration rates (b) in global meta-analyses. The Cohen’s d (standardized mean difference between OF and CF) iscomputed as the response variable (in brown). The model also includes the influence of fertilization intensity (annual C and N inputs, ingrey), mean annual temperature (MAT, in red), and crop R:S ratio (in dark green). Continuous and dashed arrows are positive and negativerelationships, respectively. The widths of the arrows are proportional to the strength of the path coefficients. Non-significant (P > 0.05) pathcoefficients are softened. Goodness-of-fit metrics for each model are: SOC stocks (Bootstrap P = 0.251; RMSEA = 0.035, P = 0.476; GFI =0.997) and SOC sequestration (Bootstrap P = 0.472; RMSEA = 0.042, P = 0.426; GFI = 0.496). R2SOCstocks = 0.23, R2SOCseq = 0.24

Fig. 1: Conventional vs Ecological Intensification trials and experimental fields in fivedifferent types of agroecosystems across Europe

Fig. 4: Changes in crop residue traitsaccount for the effect of ecologicalintensification (EI) on SOC stocks acrosssix European sites. Relationships betweenthe effect sizes of EI (lnRR, the ratio ofecological intensive to conventionalfarming) on SOC stocks and on crop leaflitter N concentration. The predicted-relationship (dashed line) and the 95 %confidence intervals are shown (dottedlines). P < 0.01, n = 31.

Montados under ecological or conventional intensification, Portugal

Arable lands with different rotation practices, Sweden

Long-term DOK experiment, Switzerland

Extensive and intensive grasslands, France

Organic vs convential farming trials in The Netherlands

INTRODUCTION OBJECTIVES MAIN RESULTS

CONCLUSION