Science needs management data for a better prediction of climate change effects on socio-ecosystems

Recent articles show that climate-change science lacks multi-scale ecosystem demographics and dynamics data to test, improve, and validate its models and recommendations. This is a major drawback; one that leads to skepticism from managers, policymakers, and the public. It may be at least partially compensated if the scientific community has access to, and analyzes data from, natural habitat management, particularly forest management.

Data included in forest management records could significantly contribute to fill the gaps left by standard research programs, these days unavoidably restricted in scope, funding, and duration (typically 3 to 5 years). By contrast, forest management in, e.g., Japan, Europe, and North-America have kept track of many of their activities over very long periods of time, up to decades and even back to the nineteenth century in some cases.

Management actions (such as selection of species and seed sources, plantation, and thinning) influence the dynamics of forest ecosystems at multiple scales. Management regularly monitors its actions and their outcomes from the implementation stage onwards, using standardized procedures and protocols. Repeated thousands of times over different climate habitats, these outcomes constitute massive amounts of data that can be statistically analyzed and have far-reaching, general value. For example, how climate affects species adaptation processes could be drawn from the repeated failure or success of particular species, populations or genotypes in reforestation programs across entire continents and distribution areas.

Management data may be owned privately or publicly, and getting access to these long data series is the real challenge. To add insult to injury, management agencies have tended to stop archiving management data when data storage moved from the age of paper to the age of computers. Publicly owned data at least should be available to the scientific community and for public management agencies, making data available should become part of their mandate. This requires strong institutional support, which would be well received in an era of growing public and political interest for open data and open science.

Ground proofing management strategies (such as assisted migration and composite provenancing) would greatly benefit from access to, and the analysis of, forest management data (Figs. 1 and 2, both forest ecosystems are threatened by climate change).

At a time when countries in Europe and worldwide are placing research infrastructures on their new roadmap and requesting that nature-based solutions be applied for sustainable development, demanding that management data should continue to be collected and made openly accessible in the data archives of infrastructures would be more than sensible. Not only this relatively cost-limited engagement would contribute to bridging the gap between research and management, it would also truly benefit building ground-proofed adaptation strategies under climate change.

Fig. 1
figure1

The Boréon Pinus cembra/Larix decidua mixed forest in the southern French Alps

Fig. 2
figure2

Abies alba Punteniellu forest in Corsica, with black pines in the foreground

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Correspondence to Bruno Fady.

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Fady, B., Geburek, T. & Scotti, I. Science needs management data for a better prediction of climate change effects on socio-ecosystems. Annals of Forest Science 76, 12 (2019). https://doi.org/10.1007/s13595-018-0792-9

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Keywords

  • Experimental approach
  • Data availability
  • Forest
  • Climate change
  • Infrastructure