Computational Forest Ecology
Understanding the degree to which ecological niches structure tropical tree communities requires an understanding of life-history strategies of hundreds of coexisting tree species which differ in functional traits, demography and resource use. We aim at quantifying how the functional traits of the tree species combine to define demographic rates and responses to resource availability, and how between-species variation in life-history strategies drives forest dynamics and species coexistence. To this end, we will link demographic rates of tropical tree species and their sensitivity to light and soil moisture to their functional traits.
In order to evaluate the consequences of between-species variation in demography and resource use for emergent forest properties, this information will be integrated into a structurally-realistic forest simulation model. We will adopt a novel modeling approach that reduces the high-dimensional characterization of demography and resource use of single tree species to few trade-off axes reflecting continuous variation of life-history strategies between the tree species. The validated model will be used to conduct modeling experiments to explore key questions of tropical forest ecology, e.g. How does light availability drive forest succession? Which strategy axis is most efficient in creating coexistence and which niche dimension does it reflect?