Meta-analysis of ANPP and rain-use efficiency confirms indicative value for degradation and supports non-linear response along precipitation gradients in drylands
Article first published online: 17 MAY 2012
© 2012 International Association for Vegetation Science
Journal of Vegetation Science
Volume 23, Issue 6, pages 1035–1050, December 2012
How to Cite
Ruppert, J. C., Holm, A., Miehe, S., Muldavin, E., Snyman, H. A., Wesche, K., Linstädter, A. (2012), Meta-analysis of ANPP and rain-use efficiency confirms indicative value for degradation and supports non-linear response along precipitation gradients in drylands. Journal of Vegetation Science, 23: 1035–1050. doi: 10.1111/j.1654-1103.2012.01420.x
- Issue published online: 7 NOV 2012
- Article first published online: 17 MAY 2012
- Manuscript Accepted: 3 APR 2012
- Manuscript Received: 31 MAY 2011
- ANPP max ;
- Degradation indicator;
- Ecosystem functions;
- Land use;
- Linear piece-wise quantile regression;
- Rangeland indicators;
- RUE max ;
- Water-use efficiency
In drylands above-ground net primary production (ANPP) and rain-use efficiency (RUE) are common ecological indicators for assessing ecosystem state, including degradation and supply of key ecosystem services. However, both indicators have been criticized as ‘lumped’ parameters, since they aggregate complex information. Their value as ecological parameters in decision-making and their use in ecological modelling therefore have been challenged and their explanatory power remains unclear. Furthermore, there is no consensus about the response of ANPP and RUE along precipitation gradients.
Taking advantage of several long-term studies in (semi-)arid environments where ANPP and RUE were recorded, we compiled a data set of 923 yr. We used meta-analysis to disentangle the effects of different ecological layers (climate, soil and land use) on ANPP and RUE. Linear piece-wise quantile regression (LPQR) was used to analyse the response of maximum and median ANPP and RUE as functions of precipitation. We assumed that looking at maximum response (instead of ‘average’ response) stratified for land-use intensity was an ecologically more plausible way to understand ANPP constrained by precipitation and land use.
We separated the impact of different environmental factors into distinct, quantitative effect sizes with the aid of meta-analyses. ANPP was affected by recent and previous precipitation, land use, soil and biome. LPQR revealed that both parameters displayed several sequential linear intersects, which together formed a unimodal trend, peaking around precipitation of 200 mm yr−1. Unimodal response was more pronounced for maximum values (ANPPmax, RUEmax) than for median values. Peak ANPPmax and RUEmax, as well as post-peak decline (>200 mm yr−1) were affected by land use: higher land-use intensity decreased intercepts and increases post-peak decline.
Our results have important consequences for the use of RUE as an ecosystem indicator and a tool in ecosystem monitoring and decision-making. Most importantly, grasslands, shrublands and savannas significantly differ in their primary production, with a biome-specific importance of precipitation, land use and previous year's precipitation. We thus propose to establish biome-specific reference values of maximum and average RUE. Our study also contributes to reconcile contradictory findings for ANPP and RUE response along precipitation gradients of varying length.