Vegetation Effects on Rainfall in West Africa (VERA)

Lead Research Organisation: University of Leeds
Department Name: School of Earth and Environment

Abstract

Rainfall is the climatic parameter of greatest importance to the populations of the tropical continents. The arrival of monsoon rains drives a rapid transformation of the landscape, allowing crops to grow and river networks to refill. Yet predicting where and when rain will fall in the tropics is a notoriously difficult problem. Progress has been made in predicting how remote ocean conditions, such as El Nino, can affect rainfall in different parts of the tropics. However local factors such as vegetation also play a role. For example, when tropical forests are cut down for agriculture, we have evidence that this affects rainfall both locally, and across neighbouring countries. Indeed, climate scientists have to take into account future deforestation rates as well as greenhouse gas emissions when they assess how tropical climate will change in the 21st century.

Vegetation affects rainfall through the process of transpiration. When plants absorb carbon dioxide for photosynthesis, they lose water from their leaves. Trees are able to extract this water from several metres below the surface using their deep roots, allowing them to continue photosynthesising for months without rainfall. Crops and grasses on the other hand start to run out of soil water during dry spells, which reduces transpiration. Instead the solar radiation absorbed by the plant canopy raises the air temperature. Replacing forests with crops and grasslands changes the rates of moistening and heating of the atmosphere, particularly when the shallow-rooted species start to run out of soil water. These changes in turn affect the development of winds, cloud and rain.

The details of how the atmosphere responds to vegetation is an area of significant scientific debate. Firstly, there is evidence that clearing patches of forest may increase rainfall over the cleared area and reduce it over the remaining forest, depending on the particular weather patterns. On the other hand, new results have shown that as air masses cross the continent, they pick up additional moisture from forests, which then leads to more rain several hundred kilometres further downwind. Finally, by controlling the balance between heating and moistening of the atmosphere, the vegetation can affect the winds bringing moist air off the ocean, delaying or extending the rainy seasons which characterise tropical climate.

Although these 3 vegetation effects are each known to affect rainfall, we rely on computer models of the vegetation and atmosphere to understand how they might work in combination. Capturing the essential physical processes within a model is very challenging. In particular, there are large and long-standing uncertainties in the description of cumulonimbus storms (thunderstorms, which dominate the rainfall of many tropical regions) within the models. However through recent advances in computing power, we are now able to run these models for entire seasons with sufficient spatial detail to properly capture storms.

In this project we will use data from satellites and the latest weather and climate models to get to the heart of how vegetation affects rainfall. Focusing on West Africa, one of the most climatically sensitive regions of the world, we will examine cloud and vegetation observations from the last 30 years to detect where deforestation has changed rainfall, and how the rapid greening of the savannah each year affects the monsoon rains. We will perform new computer simulations, incorporating the detailed development of thousands of individual storms, and examine what happens when we artificially deforest a region in the model. These results will allow us to assess the performance of the somewhat cruder models used to forecast climate change globally. By focusing on specific processes in the climate system, our results will help to improve these models, and at the same time provide robust conclusions on deforestation to guide land managers.

Planned Impact

The population of West Africa is forecast to double in the next 40 years, resulting in food security issues and increased pressure on forest resources. Ensuing land-use change will alter patterns of rainfall, further impacting food production across West Africa. Understanding the interactions between land use and precipitation is essential if we are to craft the best land-use decisions for the region, and to ensure that investment in development is robust, in a variable and changing climate.

Specifically for the UK, West Africa offers opportunities in terms of trade and investment (e.g. £4 billion bilateral trade between UK and Nigeria), but also threats through organised crime, extremism and terrorism ( http://www.publications.parliament.uk/pa/cm201314/cmselect/cmfaff/writev/extremism/m12.htm). Poverty is a key driver of these threats which is exacerbated by lack of rainfall across the region. To help address development concerns, the UK makes substantial financial contributions to West Africa (£600 million in 2012/2013). Sound knowledge of the underpinning science is required to better target future investments. With these concerns in mind, we have identified five stakeholder groups for whom our research will be of interest.

The primary group which will benefit from our research is the representatives of private companies, regional and national institutions in West African nations, and policy makers in West African nations, who are responsible for the sustainable development and protection of the environment, and who are concerned about impacts of climate and land use change on African water resources. The population of the region rely on the sustainable production of food and other crops for their livelihoods. Demonstrating how forest cover affects regional precipitation patterns will help raise awareness and should influence regional, national and international policies. Similarly, a reduction in the uncertainty of climate change predictions will support policy makers in their efforts to develop appropriate mitigation and adaptation strategies.

The work will benefit NGOs concerned with nature conservation, and specifically the protection of natural forests. This project will highlight the role that forests play in modulating regional precipitation patterns, and add to the evidence base which NGOs need to support their case for preserving, restoring and protecting forests in the tropics.

DFID is concerned with the impact of climate change on the lives and livelihoods of the people in developing countries. Recently, DFID has become aware that the effective use of its very large development budget for Africa is sensitive to climatic variability and change. The proposed work will directly contribute to one of DFID's aims, which is to improve our knowledge of weather and climate processes over Africa, to the benefit of African people, and so that development decisions (for instance, investment in projects which influence land-use) can be made on the basis of good climate science.

International research communities will benefit, through the assessment of a key process in climate dynamics: the iLEAPS community (integrated Land Ecosystem-Atmosphere Processes Study) directs research supporting the Intergovernmental Panel on Climate Change; and the GEWEX research community (Global Energy and Water cycle EXperiment) is core to the World Climate Research Programme (WCRP). The research in this project will further reduce uncertainty in the current climate change predictions for Africa.

Finally, the project should be beneficial to the scientific understanding of the general public, who are interested in the forests of our planet and the short- and long-term social, economic and climatic issues affecting the ecosystem services provided by forests. In basic terms, the control of rainfall by forest systems can be understood by high-school students, and we aim to clarify the processes involved in this interaction.

Publications

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Garcia-Carreras L (2015) The Impact of Parameterized Convection on the Simulation of Crop Processes in Journal of Applied Meteorology and Climatology

 
Description We have discovered that deforestation in West Africa has had a significant impact on rainfall.

We have made model simulations of the processes to explain local and remote responses of the rainfall to the forest changes.
Exploitation Route In principle the results should be embedded in policy briefs for international actions in regard to deforestation.
Sectors Environment

 
Title Global gridded monthly mean Leaf Area Index (LAI) for five Plant Functional Types (PFTs) derived from the Global LAnd Surface Satellite (GLASS) products for the period 2000-2014 
Description A new monthly long term average (climatology) of Leaf Area Index (LAI) has been developed for use as ancillary data with the Joint UK Land Environment Simulator (JULES) Land Surface Model and the UK Met Office Unified Model. It is derived from an improved version of long time series of LAI from the original Global LAnd Surface Satellite (GLASS) products (http://www.glass.umd.edu/LAI/MODIS/0.05D/). The GLASS data consists of a time series of LAI from Moderate Resolution Imaging Spectroradiometer (MODIS) surface-reflectance data for the period 2000-2014. The MODIS data was provided in a spatial resolution of 1km in a sinusoidal projection and is interpolated into 0.5? on a geographic latitude/longitude projection in this dataset. The total LAI from MODIS is segregated into five different Plant Functional Types (PFTs) using the fractional coverage of each PFT from the Climate Change Initiative (CCI) Land Cover data. For this reason this new LAI climatology should be used in combination with the CCI PFT data, which is also provided here. Two variables are provided with the dataset containing LAI, each covering the same spatial and time extent. The PFT data provided with this dataset covers a time span of only one year, 2010. - Leaf Area Index (LAI) - LAI is an important parameter in land-surface models, influencing the surface roughness, transpiration rate and the soil water content and temperature. Numerous outputs of vegetation models such as net primary productivity (NPP), evapotranspiration (ET), light absorption by plants (FAPAR), nutrient dynamics etc., are influenced by LAI where it is a key variable in energy and water balance calculations. - Vegetation Canopy Height (H) - H plays an important role in the interface between the atmosphere and land surface and it impacts weather and climate at local to global scales by modulating aerodynamic conductance and vegetation dynamics. Therefore, H is fundamentally needed for the calculation of turbulent exchanges of energy and mass between the atmosphere and the terrestrial ecosystem. One variable is provided with the dataset containing CCI PFTs: - Fractional coverage of 5 PFTS or vegetation classes and 4 land use classes - The 5 PFTs are Broad Leaf, Needle Leaf, C3 Grass, C4 Grass and Shrub. The 4 land use classes are Urban area, Inland Water, Bare Soil and Snow/Ice. 
Type Of Material Database/Collection of data 
Year Produced 2021 
Provided To Others? Yes  
URL https://catalogue.ceh.ac.uk/id/6d07d60a-4cb9-44e4-be39-89ea40365236
 
Description CEH-Leeds 
Organisation UK Centre for Ecology & Hydrology
Country United Kingdom 
Sector Public 
PI Contribution My team in Leeds conduct atmospheric studies using observations, models and theoretical ideas. I have also led a number of projects and field experiements in which we have collaborated with CEH.
Collaborator Contribution Expertise in land-surface processes. Expertise in land-atmosphere interactions. Expertise in land-atmosphere climate dynamics. Data analysis, especially remote sensing of rainfall and land surface state. Leadership of projects. Co-supervision of PhD students.
Impact This is a multidisciplinary partnership in the area of land-atmosphere interaction. It has resulted in a large number of high-impact papers, successful jointly-supervised PhD studentships, and successful impacts, especially in Africa.
 
Description Met Office 
Organisation Meteorological Office UK
Country United Kingdom 
Sector Academic/University 
PI Contribution Our research group analyses atmospheric processes in order to better represent them in the Met Office's forecast models. We also use those forecast models in our research, and evaluate their performance in order to identify the best strategies to improve the models.
Collaborator Contribution The Met Office brings its models and its datasets to the partnership, in addition to the considerable expertise of its staff. The Met Office also represent a conduit to the impact of our research for society, through its provision of operational weather and climate forecasts.
Impact Our research has influenced the Met Office strategy for model development, especially in regard to high-resolution models, and the convective parametrisation scheme. We have jointly influenced international strategy for atmospheric research and measurements.
 
Description EGU 2017 - Observations of cloud and rainfall enhancement over irrigated agriculture in an arid environment (Luis Garcia-Carreras et al.) 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Other audiences
Results and Impact Academic conf presentation
Year(s) Of Engagement Activity 2017
 
Description EGU 2017 - The importance of spatial resolution and convective parameterisation in modelling soil moisture - precipitation feedbacks (Luis Garcia-Carreras et al.) 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Other audiences
Results and Impact Academic conf presentation
Year(s) Of Engagement Activity 2017