Abstract

BackgroundForest management decisions are based on expectations of future developments. For sound decisions it is essential to accurately predict the expected values in future developments and to account for their inherent uncertainty, for example the impact of climate change on forests. Changing climatic conditions affect forest productivity and alter the risk profile of forests and forest enterprises. Intensifying drought stress is seen as one major risk factor threatening forest management in the north German lowlands. Drought stress reduces tree growth and vitality and might even trigger mortality. But so far, it is not possible to quantify effects of a persistent dryer climate on forest productivity at a level suitable for forest management.MethodsWe apply a well-established single-tree forest growth simulator to quantify the effect of persistent dryer climates on future forest productivity. We analyse the growth of Scots pine (Pinus sylvestris L.), European beech (Fagus sylvatica L.) and oak (Quercus robur L. and Quercus petraea (Matt.) Liebl.) in two forest regions in the north German lowlands for a time interval of 60 years until 2070. The growth response under three different climate projections is compared to a baseline scenario.ResultsThe results show clear differences in volume increment to persistent dryer climates between tree species. The findings exhibit regional differences and temporal trends. While mean annual increment at biological rotation age of Scots pine and oak predominantly benefits from the projected climate conditions until 2070, beech might suffer losses of up to 3 m3·ha–1·yr–1 depending on climate scenario and region. However, in the projection period 2051 to 2070 the uncertainty ranges comprise positive as well as negative climatic effects for all species.ConclusionsThe projected changes in forest growth serve as quantitative contributions to provide decision support in the evaluation of, for example, species future site suitability and timber supply assessments. The analysis of productivity changes under persistent dryer climate complements the drought vulnerability assessment which is applied in practical forestry in northwestern Germany today. The projected species’ productivity has strong implications for forest management and the inherent uncertainty needs to be accounted for.

Highlights

  • Forest management decisions are based on expectations of future developments

  • MAI maxix, MAI maxib : mean annual increment at biological rotation age in stand i under climate scenario x and under baseline b [m3·ha–1·yr–1]; x: climate scenario; mx, mb: number of stands under climate scenario x and under baseline b. It is the primary objective of this simulation study to quantify the effect of long-term persistent dryer climates on forest productivity and to derive tangible recommendations for regional forest planning

  • The projected changes in forest growth within a specified uncertainty range serve as quantitative contributions to provide decision support in forest planning, e.g. adapting silvicultural management strategies, evaluating species future site suitability and assessing the impact on timber supply

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Summary

Introduction

Forest management decisions are based on expectations of future developments. For sound decisions it is essential to accurately predict the expected values in future developments and to account for their inherent uncertainty, for example the impact of climate change on forests. A more and more aggravating climate change shakes one of the key features of forest planning, i.e. to assign species for cultivation according to site suitability (Brang et al 2008). Forest planning has to account for dynamic site conditions and management decisions are based on expectations of future site developments. For sound decisions it is essential to accurately predict the expected values in future developments and to account for their inherent uncertainty, for example the impact of different climate change scenarios on forests

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