Skip to content
Natural Environment Research Council
Grants on the Web - Return to homepage Logo

Details of Award

NERC Reference : NE/P008755/1

A Socio-Ecological Observatory for the Southern African Woodlands

Grant Award

Principal Investigator:
Dr CM Ryan, University of Edinburgh, Sch of Geosciences
Co-Investigator:
Dr K G Dexter, University of Edinburgh, Sch of Geosciences
Co-Investigator:
Professor M Williams, University of Edinburgh, Sch of Geosciences
Co-Investigator:
Dr C Lehmann, Royal Botanic Garden Edinburgh, Tropical Biology
Co-Investigator:
Professor ETA Mitchard, University of Edinburgh, Sch of Geosciences
Co-Investigator:
Professor SL Lewis, University of Leeds, Sch of Geography
Science Area:
Terrestrial
Overall Classification:
Unknown
ENRIs:
Biodiversity
Global Change
Natural Resource Management
Science Topics:
Community Ecology
Biogeochemical Cycles
Ecosystem Scale Processes
Abstract:
* Context The Earth's vegetation is changing in response to climate change, increased concentrations of CO2 in the atmosphere, and harvesting for fuel, food and building materials. These changes can accelerate or reduce climate change by altering the carbon cycle, and also affect the livelihoods of those who use natural resources in their day-to-day lives. One of the most important ways to understand vegetation change and its impacts, is to make careful measurements of the same patches of vegetation ("plots") repeatedly. Networks of these plots have produced surprising findings, challenging theory and models of vegetation responses to climate change. E.g. in Latin America, a network of these plots has shown that tropical forests are not soaking up as much carbon as predicted. Networks of these on-the-ground plot measurements are the only way to get a detailed view of how vegetation is currently changing. However at the moment, different researchers do not combine their data to understand regional patterns of change. This project will address this by bringing together researchers collecting plot data in southern African woodlands to share data and answer the big questions about what is happening to the vegetation in the region. The southern African woodlands are the largest savanna in the world (3 million km2), and support the livelihoods of 160M people. Many of these people are poor and depend upon the woodlands for 25% of their income and to support their agriculture. Theory and models suggest that these woodlands will be sensitive to increased atmospheric CO2 and other environmental changes underway: this is because, unlike forests, woodlands maintain a balance in the competition between trees and grasses, allowing both types of plant to co-exist. Small changes that benefit trees (such as more CO2 in the atmosphere) might rapidly change woodlands into a tree-dominated system. This would mean that they store more carbon, but might reduce the diversity of plants on the ground. It is also possible that human use of these woodlands, particularly wood harvesting for fuel, is altering their diversity and reducing the "services" that they provide. Currently we have no way to know if these changes are happening - satellite data and models can help, but need to be validated with plot measurements. * Aims and objectives Understanding the response of southern African woodlands to global change is the long-term goal of SEOSAW. It will do this by creating a regularly re-measured, systematic plot network. The stepping stones to this network are to: 1) develop an online data-sharing platform to exchange existing plot data so that we can look for signs of widespread change 2) combine NERC-funded data from 486 plots with data from 1,783 plots measured by others, to create a network that covers the whole region 3) use this new data set to better understand the processes that allow trees and grasses to co-exist, to allow modellers to make better predictions of future change 4) encourage researchers to make measurements in similar ways in the future, so that we can more easily detect changes 5) create a plan for future plot measurements that covers the whole region, and makes best use of the available time and money. * Who will benefit? SEOSAW will fill a large gap in the network of plots in tropical regions and benefit: - modellers of the Earth's vegetation will be able to test their models against reality in one of the most difficult to model biomes - scientists using satellite data to map vegetation will now be able to calibrate and validate their maps in all types of tropical vegetation - Those modelling the carbon cycle, who need to know how much carbon is being taken up by the woodlands Conservationists will also benefit, as SEOSAW will identify parts of the region that have unique or particularly diverse woodlands, helping to prioritise conservation efforts.
Period of Award:
1 Feb 2017 - 31 Jan 2021
Value:
£253,895
Authorised funds only
NERC Reference:
NE/P008755/1
Grant Stage:
Completed
Scheme:
Directed (Research Programmes)
Grant Status:
Closed
Programme:
IOF

This grant award has a total value of £253,895  

top of page


FDAB - Financial Details (Award breakdown by headings)

DI - Other CostsIndirect - Indirect CostsDA - InvestigatorsDA - Estate CostsDI - T&SDA - Other Directly Allocated
£44,329£31,525£61,442£12,035£89,635£14,928

If you need further help, please read the user guide.