Don't miss our weekly PhD newsletter | Sign up now Don't miss our weekly PhD newsletter | Sign up now

  Does forest structure hold the key to understanding forest carbon uptake?


   School of Geography, Earth and Environmental Sciences

This project is no longer listed on FindAPhD.com and may not be available.

Click here to search FindAPhD.com for PhD studentship opportunities
  Dr T Pugh  No more applications being accepted  Competition Funded PhD Project (European/UK Students Only)

About the Project

Will increased atmospheric CO2 result in increased biomass in forest ecosystems? At the leaf scale, the evidence that elevated CO2 increases photosynthetic rates is overwhelming1. However, evidence of increased biomass is equivocal, particularly in mature stands2 For example, many previous FACE experiments were located in regrowing or disturbed stands. As a result, observed responses may simply have represented accelerated growth, rather than an increase in the long-term carbon store in forest ecosystems.

We know that not all trees benefit to the same extent from additional carbon dioxide2. Where within the forest do the largest growth enhancements due to carbon dioxide occur? Do younger trees benefit more than older ones? What does this mean for the carbon balance across whole ecosystems and even the globe? The work in this project will help to address a big uncertainty regarding the response of mature forest stands to elevated CO2.

This is crucial knowledge, because terrestrial ecosystems currently take up about 30% of all the carbon emitted by human activities each year3, reducing the rate of climate change. In order to understand if this uptake will continue, we have to understand the processes that lead to it.

This PhD project will seek to answer these questions using and developing a state-of-the-art model of terrestrial ecosystems, and combining it with observations from a mature experimental forest in the United Kingdom and other sites worldwide.

The Free Air CO2 Experiments being conducted at the Birmingham Institute of Forest Research is the only research facility of its kind in the world, focusing on how mature temperate forests are affected by human emissions of carbon4. The LPJ-GUESS ecosystem model scales plant growth and function from the leaf, to the forest stand, to the globe. It is widely used in assessments of the role of terrestrial ecosystems in the global carbon cycle5, one of the largest uncertainties in future projections of climate change. Observations from these forests and other sources will be combined with the LPJ-GUESS model to test hypotheses regarding the role of nutrients, plant allocation decisions and competition between trees in enabling or limiting the growth response of forests to elevated CO2examine the sensitivity of carbon uptake to different forest structures. Ultimately the modelling system will be applied globally, assessing the contribution of different forest states to the global carbon cycle.

Funding Notes

In addition to completing an online application form, you will also need to complete and submit the CENTA studentship application form available from www.centa.org.uk.
CENTA studentships are for 3.5 years and are funded by the Natural Environment Research Council (NERC). In addition to the full payment of their tuition fees, successful candidates will received the following financial support.
Annual stipend, set as £14,553 for 2017/18
Research training support grant (RTSG) of £8,000
CENTA students are required to undertake 45 days training throughout their PhD including a 10 day placement.

References

1 Kimball BA, Mauney JR, Nakayama FS, Idso SB (1993) Effects of increasing atmo- spheric CO2 on vegetation. Vegetatio, 104, 65–75.
2 Korner C, Asshoff R, Bignucolo O, H€attenschwiler S, Keel SG, Pel aez-Riedl S, Pepin S, Siegwolf RT, Zotz G. (2005) Carbon flux and growth in mature deciduous forest trees exposed to elevated CO2. Science 309: 1360–1362.
3 Le Quéré, C. et al. (2016) Global Carbon Budget 2016. Earth System Science Data 8, 605-649.
4 Norby, R. J., De Kauwe, M. G. et al. (2016) Model-data synthesis for the next generatio of forest free-air CO2 enrichment (FACE) experiments. New Phytologist 209, 17-28.
5 Smith, B. et al. (2014) Implications of incorporating N cycling and N limitations on primary production in an individual-based dynamic vegetation model. Biogeosciences 11, 2027-2051.

Where will I study?