Trends in Plant Science
Volume 23, Issue 11, November 2018, Pages 1006-1015
Journal home page for Trends in Plant Science

Opinion
A Wood Biology Agenda to Support Global Vegetation Modelling

https://doi.org/10.1016/j.tplants.2018.08.003Get rights and content

Highlights

‘Next-generation’ global vegetation models track the performance of individual trees as a function of light, carbon, water, and nutrient availability, explicitly include forest demography, and simulate disturbances. This model development involves a major increase in complexity and in the amount of simulated processes.

The development and quality of next-generation models critically depends on the availability of insights to simulate these additional processes. Yet, knowledge on key processes such as sub-annual tree growth, source- versus sink-limited growth, dynamic biomass allocation, drought effects, and nutrient cycling is currently poorly available.

Wood biology can importantly contribute to filling this knowledge gap by providing knowledge on crucial processes for tree functioning. This field of science is well positioned due to recent progress in concepts, measuring tools, and analyses.

Realistic forecasting of forest responses to climate change critically depends on key advancements in global vegetation modelling. Compared with traditional ‘big-leaf’ models that simulate forest stands, ‘next-generation’ vegetation models aim to track carbon-, light-, water-, and nutrient-limited growth of individual trees. Wood biology can play an important role in delivering the required knowledge at tissue-to-individual levels, at minute-to-century scales and for model parameterization and benchmarking. We propose a wood biology research agenda that contributes to filling six knowledge gaps: sink versus source limitation, drivers of intra-annual growth, drought impacts, functional wood traits, dynamic biomass allocation, and nutrient cycling. Executing this agenda will expedite model development and increase the ability of models to forecast global change impact on forest dynamics.

Section snippets

From One Big Leaf to Many Trees

Forests play a crucial role in the global carbon cycle and climate system [1]. Forest responses to climate change have direct implications for regional climate, carbon uptake, biodiversity, and society. Sound predictions of forest responses to climate change are therefore crucial. Since the 1990s, dynamic global vegetation models (DGVMs) (see Glossary) have been used to forecast forest responses to climate change and forest-climate feedbacks [2]. First-generation DGVMs treated forest canopies

Hungry Models

Next-generation DGVMs aim to accurately simulate carbon, nutrient, and water cycling in forests by scaling from tissue, through tree organ, individual tree, population, stand, and landscape to the grid cell (Box 1, Figure 1). At tissue, organ, and individual tree levels, the availability and fluxes of water, light and thermal energy, nutrients, and carbon co-determine rates of biomass growth and loss. These processes are driven by, and feedback upon, a number of environmental variables, and

How Wood Biology Can Contribute

Wood biology is well positioned to fill major data and knowledge gaps for next-generation models (Box 2, Figure 2). Wood biological studies deliver insights into individual tree performance [18] (the simulation unit of these models) and do so at the high temporal resolution at which trees respond to climatic variation (and extremes) and models simulate processes 19, 20. Wood biological studies are supremely flexible to yield insights for nearly any choice of forest type, location, tree species,

A Wood Biology Research Agenda

Our proposed research agenda is structured according to six interconnected knowledge gaps. To fill these gaps, we propose specific wood biological studies (Figure 2) and explicit collaboration with other disciplines, in particular for gaps 5 and 6.

1. Understand wood formation within the year.

Dendrochronologists have a reasonably good understanding about the climatic drivers of annual stem growth. Climate-growth analyses of tree-ring data have revealed the important roles of rainfall,

Implementing the Agenda: Strategy and Challenges

How can the proposed agenda be implemented? We propose a multipronged strategy that is also cognizant of several challenges.

1. Standardization of wood biological measurements and analyses.

Many of the wood biological methods shown in Figure 2 have a short application history, resulting in unstandardized procedures and measurements. For instance, different types of dendrometers exist (band or point dendrometers), that measure variations in tree diameter or circumference at different temporal

Concluding Remarks

The development of ‘big-leaf’ vegetation models benefited from ground-breaking theoretical and empirical research on leaf physiology and the increased availability of Earth observation data. In a similar fashion, the development of next-generation models could greatly benefit from improved theoretical and empirical understanding of tree water transport and limitation, tissue growth, dynamic biomass allocation, and the roles of source versus sink limitation in tree growth. We have argued that

Acknowledgements

We thank Frank Sterck, Rafael Oliveira, Kathy Steppe, and an anonymous reviewer for commenting on the manuscript and providing valuable comments and suggestions.

Glossary

Benchmarking
a procedure comparing model output with independent empirical observations of processes, structure, or development (of vegetation).
Big-leaf models
a class of DGVMs that simulates carbon, energy, and water fluxes of vegetation canopies based on a characteristic leaf in the top of canopy.
Climate-growth analysis
the study that relates temporal variation in tree growth (from a chronology) to that in climatic variables.
Dendrochemistry
the field that studies chemical composition and chemical

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