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Regional Environmental Change

, Volume 15, Issue 8, pp 1569–1580 | Cite as

Adaptive management and debarking schedule optimization of Quercus suber L. stands under climate change: case study in Chamusca, Portugal

  • João H. N. Palma
  • Joana Amaral Paulo
  • Sónia Pacheco Faias
  • Jordi Garcia-Gonzalo
  • Jose G. Borges
  • Margarida Tomé
Original Article

Abstract

Cork oak stands are one of the major sources of income from Portuguese Mediterranean forests. Future climate is projected to increase temperatures, reduce precipitation and decrease current forests’ productivity and therefore, adapting management, is a key strategy to mitigate impacts of future climate on cork supply. The central objective of this research was to compare conventional and adaptive management regimes under scenarios of climate change. The adaptive management focussed on adopting optimal harvest schedules while considering different management objectives. The study focused on the Chamusca region, one of the most productive areas of cork, and considered four distinct spatial scales for analysis. For each scale, the management objective was defined according to field information and considered the maximization of cork production while targeting different cork harvesting flows: (a) more frequent and regular or (b) less frequent and concentrated. A forest growth model was used to simulate climate change impact on future yield of cork oak stands under different forest management alternatives. A mixed integer programming model was developed to find the most adequate cork debarking cycle calendar for cork oak stands. Our results suggest that (1) business as usual management under climate change scenarios could decrease cork supply and carbon stock in the tree component of the forests by up to 20 and 30 %, respectively, (2) the development of adaptive management strategies, including cork extraction schedule optimization, to address climate change has advantages over traditional practices and (3) may contribute further to increase cork production (up to double productivity in mid-long term) while addressing concerns with the regulation of cork extraction flows through the adaptation of debarking periods. The mixed integer programming allowed the spatial visualization of the debarking cycle delay. Furthermore, results underline the relevance of an approach to develop adaptive management strategies that can consider different management goals, with different constraints to address climate change.

Keywords

Cork oak Optimization Landscape Region Ecosystem services Regulation Adaptive forest management 

Notes

Acknowledgments

This research has received funding from the European Union’s Seventh Programme for research, technological development and demonstration under grant agreements: (1) Nr 226544 MOTIVE (Models for Adaptive Forest Management), (2) Nr PIRSES-GA-2010-269257 (ForEAdapt, Knowledge exchange between Europe and America on forest growth models and optimisation for adaptive forestry) and (3) Nr 613520 AGFORWARD (Agroforestry that Will Advance Agroforestry in Europe). It was also partially supported by Project SADRI (PTDC/AGR-FOR/4526/2012)—Models and Decision Support Systems for Addressing Risk and Uncertainty in Forest Planning. The authors wish to thank the helpful comments of two anonymous reviewers, the helpful comments of Tim Payn, and to the ALTRI Company for providing part of the data used in this study.

Supplementary material

10113_2015_818_MOESM1_ESM.pdf (80 kb)
Supplementary material 1 (PDF 81 kb)
10113_2015_818_MOESM2_ESM.pdf (11 kb)
Supplementary material 2 (PDF 11 kb)
10113_2015_818_MOESM3_ESM.pdf (23 kb)
Supplementary material 3 (PDF 23 kb)
10113_2015_818_MOESM4_ESM.pdf (84 kb)
Supplementary material 4 (PDF 84 kb)
10113_2015_818_MOESM5_ESM.pdf (262 kb)
Supplementary material 5 (PDF 262 kb)

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Copyright information

© Springer-Verlag Berlin Heidelberg 2015

Authors and Affiliations

  1. 1.Centro de Estudos Florestais, Instituto Superior de AgronomiaUniversidade de LisboaLisbonPortugal

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