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Tag: forest modelling

Experiencing an excursion through the eyes of a forest modeler 

For the RESONATE project, my task aims at developing high resolution future forest trajectories and disturbance maps for the European continent. Continental scale modelling always comes along with trade-offs regarding the detailed processes. Taking this into account, we follow a bottom-up approach, where we use detailed information from local process-based forest simulations to train deep neural networks. For this, we collected forest simulations under different climate scenarios from hundreds of locations across Europe, covering large gradients of environmental and climatic conditions. By combining simulations from different regions, we can explore the relationship between forest dynamics and climate signals using deep neural networks. These neural networks learn to represent forest dynamics depending on environmental and climate conditions, allowing us to upscale the forest dynamics to continental scale. We believe that with this approach we will make a step towards better capturing local scale dynamics at the macroscale.  

But guess what, forest modeling means we spend most of the time in front of our screen, working on code and data that eventually allow a glimpse into the future of forest ecosystems. Although I spend a lot of my leisure time hiking, cycling and sometimes ski touring in the mountains, professionally I spend very little time in the field. Therefore, I was really happy to join the excursion as part of a conference we organized in Berchtesgaden some months ago. The occasion to go to the field with colleagues who spend a lot of time there and visit the system that I am currently modelling is very special and of course informative. And for me, coming from a macroecology background, it is also particularly important to see gradients in the mountain landscape and discuss their impact on vegetation processes as well as disturbances.

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How we can better understand our forest ecosystems with laser scanning

by Luiza Tyminska and Jean-Matthieu Monnet

If you want to investigate the influence of management on forest resilience after disturbances, you can of course put your walking shoes on and do field measurements. However, how can you evaluate forest areas of several hundreds of square kilometers? In forest science, we consider Airborne Laser Scanning (ALS) a strong solution for mapping forest characteristics – including forests’ internal structure – at high resolution over wide areas. ALS is a remote sensing technology based on the emission of laser pulses. The laser light can penetrate the tree canopy and reflect on objects located inside the forest, or even by the ground. The Earth’s surface is then modelled as point clouds in three dimensions with geometric information on the height of the vegetation, but also on its internal structure. In the project Innovative forest management strategies for a resilient bioeconomy under climate change and disturbances (I-MAESTRO), we used ALS for two purposes: describing the forests to get an initial state for simulations, and analysing forest dynamics with repeated measurements.

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Expecting the unexpected: how to manage forest landscapes in a highly uncertain future?

In past blog posts we have been discussing how forest landscapes can be seen as interconnected and functional complex networks – and shown how network analysis can be combined with modelling and forest management. But is the so-called functional network approach really an efficient way to optimize forest landscape management and to promote ecological resilience in the face of unexpected global change stresses?

When we go hiking in the mountains, we know that before reaching an appealing and gratifying view we often need to walk up a few hundred meters inside a forest. Sounds natural, it has always been this way. We have cities, crop fields, grasslands, forests, rocky mountain peaks, etc. Forests are intrinsically part of our cultural landscape, and it is normal to think they will always be. Although such landscapes look simple, when we disentangle each single element, we realise that it is a very complex socio-ecological network, with both human and biophysical processes linked across different spatial and temporal scales.

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Investigating potential future climate, disturbance and forest management effects

How can we increase the resilience of our forest to be better prepared for future natural disturbances and climate change, while maintaining a high level of wood production, carbon storage, and habitat quality for biodiversity? The project Innovative forest management strategies for a resilient bioeconomy under climate change and disturbances (I-MAESTRO) aims at improving the scientific basis for developing adequate forest management strategies. In an interview series, we are introducing the different I-MAESTRO partners and their roles in the project – and we are sharing very personal perspectives from different researchers involved. We are now introducing Mats Mahnken, PhD researcher at the Potsdam Institute for Climate Impact Research (PIK).

What is PIK contributing to I-Maestro?

PIK is involved in I-Maestro with tasks regarding forest modelling and simulation of forest dynamics taking into account environmental change effects and forest management. It is using the forest model 4C (‘FORESEE’ – Forest Ecosystems in a Changing Environment) at different spatial scales and will also be involved in work dealing with data for model comparisons and data for calibration. Thus, we are applying the expertise of the working group on Forest and Ecosystem Resilience at PIK from prior projects that focused on modelling shifts in temperature and precipitation and possible adaptive forest management on European forests as well as projects on model comparison and data harmonization.

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“We develop long-term management strategies to maximise ecosystem services against forest disturbances”

How can we increase the resilience of our forest to be better prepared for future natural disturbances and climate change, while maintaining a high level of wood production, carbon storage, and habitat quality for biodiversity? The project Innovative forest management strategies for a resilient bioeconomy under climate change and disturbances (I-MAESTRO) aims at improving the scientific basis for developing adequate forest management strategies. In an interview series, we are introducing the different I-MAESTRO partners and their roles in the project – and we are sharing very personal perspectives from different researchers involved. Our third interviewee is Raphaël Aussenac, Postdoc researcher at the French National Research Institute for Agriculture, Food and the Environment (INRAE).

What is INRAE contributing to I-Maestro?

First of all, INRAE coordinates the project. As part of this responsibility, INRAE ensures that teams working on practical and empirical aspects and those modelling forest dynamics work tuned. We seek to better understand the relationship between the complexity of stand structure and the provision of ecosystem services while integrating the effects of natural disturbances and climate change. In particular, we participate in the modelling of forest dynamics and in the analysis of the simulations. By addressing our research question with several European partners with different approaches we hope to offer more comprehensive answers.

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“Our results contribute to a better understanding of many forest disturbance processes”

How can we increase the resilience of our forest to be better prepared for future natural disturbances and climate change, while maintaining a high level of wood production, carbon storage, and habitat quality for biodiversity? The project Innovative forest management strategies for a resilient bioeconomy under climate change and disturbances (I-MAESTRO) aims at improving the scientific basis for developing adequate forest management strategies. In an interview series, we are introducing the different I-MAESTRO partners and their roles in the project – and we are sharing very personal perspectives from different researchers involved. The series continues with Luiza Tymińska-Czabańska and Ewa Grabska from University of Krakow.

What is University of Krakow (UAK) contributing to I-Maestro?

Luiza&Ewa: Our team at UAK includes researchers with various expertise and skills such as forestry, remote sensing, data science, statistics, and geography. With scientists covering such a complex background, we are able to develop approaches to analyze issues such as modeling of different forest properties, monitoring of disturbances, classification of tree species and their age, site index prediction, or biomass estimation and its changes over time. Furthermore, we collected a comprehensive database on forest characteristics and data about forest disturbances for the whole area of Poland, and additionally, environmental variables – climatic, topographic, geological, and soils. Access to such an exhaustive database enables modeling the impact of various factors on forest processes in temperate zones.

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Bridging the gap between the world(s) of research, practitioners and policy-makers

How can we increase the resilience of our forest to be better prepared for future natural disturbances and climate change, while maintaining a high level of wood production, carbon storage, and habitat quality for biodiversity? The project Innovative forest management strategies for a resilient bioeconomy under climate change and disturbances (I-MAESTRO) aims at improving the scientific basis for developing adequate forest management strategies. In an interview series, we are introducing the different I-MAESTRO partners and their roles in the project – and we are sharing very personal perspectives from different researchers involved. The series starts with Matteo Cerioni from University of Ljubljana.

What is the University of Ljubljana (LU) contributing to I-Maestro?
The main contribution of LU is improving information on disturbances and the knowledge on recovery processes following them. More specifically, we are contributing to the update of a European database on forest disturbances and carrying out empirical studies on regeneration dynamics after large disturbances. This involves both collecting new field data (e.g. Slovenian forests subjected to ice storm and following bark beetle; Bulgarian beech forest reserve subjected to wildfire) and gathering and analyzing existing data from other European research groups interested in collaborating. These empirical studies will also serve the models, testing their ability to reproduce recovery processes. Furthermore, we are involved in developing metrics to assess the forest structural complexity resulting from different model simulations. It is considered a key features of forest resilience and includes tree spatial arrangement, size diversity and biodiversity. Finally, we will be involved in the dissemination of results among interested stakeholders.

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