Trade‐offs among restored ecosystem functions are context‐dependent in Mediterranean‐type regions

Citation

Fiedler, S., Perring, M.P., Monteiro, J.A., Branquinho, C., Buzhdygan, O., Cavieres, L.A., Cleland, E.E., Cortina-Segarra, J., Grünzweig, J.M., Holm, J.A., Irob, K., Keenan, T.F., Köbel, M., Maestre, F.T., Pagel, J., Rodríguez-Ramírez, N., Ruiz-Benito, P., Schurr, F.M., Sheffer, E., Valencia, E. and Tietjen, B. (2025), Trade-offs among restored ecosystem functions are context-dependent in Mediterranean-type regions. Ecography, 2025: e07609. https://doi.org/10.1002/ecog.07609

Abstract

Global biodiversity hotspots, including Mediterranean-type ecosystems worldwide, are highly threatened by global change that alters biodiversity, ecosystem functions, and services. Some restoration activities enhance ecosystem functions by reintroducing plant species based on known relationships between plant traits and ecosystem processes. Achieving multiple functions across different site conditions, however, requires understanding how abiotic factors like climate and soil, along with plant assemblages, influence ecosystem functions, including their trade-offs and synergies. We used the ModEST ecosystem simulation model, which integrates carbon, water, and nutrient processes with plant traits, to assess the relationships between restored plant assemblages and ecosystem functions in Mediterranean-type climates and soils. We investigated whether maximised carbon increment, water use efficiency, and nitrogen use efficiency, along with their trade-offs and synergies, varied across different abiotic contexts. Further, we asked whether assemblages that maximised functions varied across environments and among these functions. We found that maximised ecosystem carbon increment and nitrogen use efficiency occurred under moist, warm conditions, while water use efficiency peaked under drier conditions. Generally, the assemblage that maximised one function differed from those for other maximised functions. Synergies were rare, except between water and nitrogen use efficiencies in loam soils across most climates. Trade-offs among maximised functions were common, varying in strength with abiotic context and plant assemblages, and were more pronounced in sandy loam soils compared to clay-rich soils. Our findings suggest that due to variation in abiotic conditions within and across Mediterranean-type regions at the global scale, site-specific plant assemblages are required to maximise ecosystem functions. Thus, lessons from a single site cannot be transferred to another site, even where the same plant functional types are available for restoration. Our simulation results offer valuable insights into potential ecosystem performance under specific abiotic conditions following restoration with particular plant functional types, thereby informing local restoration efforts.

Research Projects

Organizational Units

Journal Issue

Description

Funding: This work was supported by the German Research Foundation (DFG project TI 824/3-1), the DAAD and the University Alliance for Sustainability. CB and MK were supported by UIDP/00329/2020 | cE3c (https://doi.org/10.54499/UIDP/00329/2020) and LA/P/0121/2020 | CHANGE (https://doi.org/10.54499/LA/P/0121/2020). MK was additionally supported by Fundação para a Ciência e Tecnologia, with the grant SFRH/BD/130274/2017. LAC acknowledge funding from ANID FB210006, FONDECYT 1211197 and ACT210038. JC-S contribution was supported by Conselleria d'Educació, Cultura, Universitats i Ocupació, Generalitat Valenciana (Project R2D, CIPROM/2021/001). JAH was partially supported as part of the Next Generation Ecosystem Experiments-Tropics Project, funded by the Office of Biological Environmental Research (BER) under Contract No. DE-AC02-05CH11231 with the U.S. Department of Energy Office of Science. TFK acknowledges support from the RUBISCO SFA, which is sponsored by the Regional and Global Model Analysis (RGMA) Program in the Climate and Ecosystem Sciences Division (CESD) of the Office of Biological and Environmental Research (BER) in the U.S. Department of Energy (DOE) Office of Science, and additional support from a DOE Early Career Research Program award #DE-SC0021023. FTM acknowledges support by the King Abdullah University of Science and Technology (KAUST) and the KAUST Climate and Livability Initiative. JP and FMS acknowledge funding from the German Research Foundation (DFG projects SCHU 2259/3-3 and SCHU 2259/5-2). NR-R was supported by Colciencias (Colombia) and the CLIMED project funded by the French funded agency for research (ANR). PR-B was supported by the Community of Madrid Region under the framework of the multi-year Agreement with the University of Alcalá (Stimulus to Excellence for Permanent University Professors, EPU-INV/2020/010) and by the Science and Innovation Ministry (AEI, subproject LARGE, no. PID2021-123675OB-C41). EV acknowledges funding from the Plan Nacional de I+D+i (project PID2022-140398NA-I00).

Keywords

Collections