SECO: Resolving the current and future carbon dynamics of the dry tropics
Lead Research Organisation:
University of Edinburgh
Department Name: Sch of Geosciences
Abstract
The ecosystems of the dry tropics are in flux: the savannas, woodlands and dry forests that together cover a greater area of the globe than rainforests are both a source of carbon emissions due to deforestation and forest degradation, and also a sink due to the enhanced growth of trees. However, both of these processes are poorly understood, in terms of their magnitude and causes, and the net carbon balance and its future remain unclear. This gap in knowledge arises because we do not have a systematic network of observations of vegetation change in the dry tropics, and thus have not, until now, been able to use observations of how things are changing to understand the processes involved and to test key theories.
Satellite remote sensing, combined with ground measurements, offers the ideal way to overcome these challenges, as it can provide regular, consistent monitoring at relatively low cost. However, most ecosystems in the dry tropics, especially savannas, comprise a mixture of grass and trees, and many optical remote sensing approaches (akin to enhanced versions of the sensors on digital cameras) struggle to distinguish changes between the two. Long wavelength radar remote sensing avoids this problem as it is insensitive to the presence of leaves or grass, and also is not affected by clouds, smoke or the angle of the sun, all of which complicate optical remote sensing. Radar remote sensing is therefore ideal to monitor tree biomass in the dry tropics. We have successfully demonstrated that such data can be used to accurately map woody biomass change for all 5 million sq km of southern Africa.
In SECO we will create a network of over 600 field plots to understand how the vegetation of the dry tropics is changing. and complement this with radar remote sensing to quantify how the carbon cycle of the dry tropics has changed over the last 15 years. This will provide the first estimates of key carbon fluxes across all of the dry tropics, including the amount of carbon being released by forest degradation and deforestation and how much carbon is being taken up by the intact vegetation in the region. By understanding where these processes are happening, we will improve our knowledge of the processes involved.
W will use these new data to improve the way we model the carbon cycle of the dry tropics, and test key theories. The improved understanding, formalised into a model, will be used to examine how the dry tropics will respond to climate change, land use change and the effects of increasing atmospheric CO2. We will then be able to understand whether the vegetation of the dry tropics will mitigate or exacerbate climate change, and we will learn what we need to do to maintain the structure of the dry tropics and preserve its biodiversity.
Overall, SECO will allow us to understand how the vegetation of the dry tropics is changing, and the implications of this for the global carbon cycle, the ecology of savannas and dry forests, and efforts to reduce climate change. The data we create, and the analyses we conduct will be useful to other researchers developing methods to monitor vegetation from satellites, and also to those who model the response of different ecosystems to climate and other changes. Forest managers, ecologists and development practitioners can use the data to understand which parts of the world's savannas and dry forests are changing most, and how these changes might be managed to avoid negative impacts that threaten biodiversity and the livelihoods of the 1 billion, mostly poor, rural people who live in this region.
Satellite remote sensing, combined with ground measurements, offers the ideal way to overcome these challenges, as it can provide regular, consistent monitoring at relatively low cost. However, most ecosystems in the dry tropics, especially savannas, comprise a mixture of grass and trees, and many optical remote sensing approaches (akin to enhanced versions of the sensors on digital cameras) struggle to distinguish changes between the two. Long wavelength radar remote sensing avoids this problem as it is insensitive to the presence of leaves or grass, and also is not affected by clouds, smoke or the angle of the sun, all of which complicate optical remote sensing. Radar remote sensing is therefore ideal to monitor tree biomass in the dry tropics. We have successfully demonstrated that such data can be used to accurately map woody biomass change for all 5 million sq km of southern Africa.
In SECO we will create a network of over 600 field plots to understand how the vegetation of the dry tropics is changing. and complement this with radar remote sensing to quantify how the carbon cycle of the dry tropics has changed over the last 15 years. This will provide the first estimates of key carbon fluxes across all of the dry tropics, including the amount of carbon being released by forest degradation and deforestation and how much carbon is being taken up by the intact vegetation in the region. By understanding where these processes are happening, we will improve our knowledge of the processes involved.
W will use these new data to improve the way we model the carbon cycle of the dry tropics, and test key theories. The improved understanding, formalised into a model, will be used to examine how the dry tropics will respond to climate change, land use change and the effects of increasing atmospheric CO2. We will then be able to understand whether the vegetation of the dry tropics will mitigate or exacerbate climate change, and we will learn what we need to do to maintain the structure of the dry tropics and preserve its biodiversity.
Overall, SECO will allow us to understand how the vegetation of the dry tropics is changing, and the implications of this for the global carbon cycle, the ecology of savannas and dry forests, and efforts to reduce climate change. The data we create, and the analyses we conduct will be useful to other researchers developing methods to monitor vegetation from satellites, and also to those who model the response of different ecosystems to climate and other changes. Forest managers, ecologists and development practitioners can use the data to understand which parts of the world's savannas and dry forests are changing most, and how these changes might be managed to avoid negative impacts that threaten biodiversity and the livelihoods of the 1 billion, mostly poor, rural people who live in this region.
Planned Impact
There are many non-academic beneficiaries from the provision of high quality, high resolution data on woody biomass, biomass change, the occurrence of deforestation, degradation and forest growth, and related carbon fluxes. Many land managers in the dry tropics will be able to utilise the SECO data to inform their work, for example:
* Protected area managers can use these data to assess the effectiveness of their procedures for avoiding timber poaching and encroachment
* Government forest departments can use the data to map the extent of forest resources, and their change over time
* Community-based resource management projects can use these data as a measure of the effectiveness of different types of project interventions and tenure regimes
* National governments will be able to improve the quality of the data they submit to the UN climate processes on land use emissions, to the FAO on forest extent and quality, and also to monitor the sustainable development goals. The use of the SECO data for these purposes will reduce costs and improve data quality, as currently many key processes e.g. forest degradation, are not reported by most of the countries in the dry tropics. This will be the focus of our pathways to impact work.
When aggregated to provincial or national scale, the SECO data are useful for policy makers prioritising investments in forest management or seeking to reduce deforestation and degradation as part of international commitments under the Paris Agreement. Bi-lateral (e.g. UK DfID) and multi-lateral (e.g. the World Bank) development donors also need such information to help prioritise their multi-billion dollar investments in sustainable forestry and land management.
Nearly all national forest / land management agencies report data to the FAO on forest resources and to the UN and related bodies on land use emissions. Particularly in resource-poor, developing, countries, these reports often use outdated or inconsistent data. Our Pathways to Impact work will focus on this issue, supporting six national agencies in southern and central Africa to utilise the SECO data for their needs. This will involve a bespoke programme of training, mentoring and opportunities for collaboration, aimed at utilising the SECO data in their work. This will benefit these agencies by:
1) Reducing the effort needed to gain an accurate estimate of land use change emissions and forest resource changes at national and subnational scales, and
2) Improving the quality of such estimates based on state-of-the-art remote sensing and modelling, tailored to the conditions of the dry tropics.
To achieve these benefits, we will produce new training materials, examples of using the SECO data for common tasks, and make the data accessible in a variety of formats and resolutions. This will be combined with face-to-face meetings and webinars throughout the duration of SECO.
* Protected area managers can use these data to assess the effectiveness of their procedures for avoiding timber poaching and encroachment
* Government forest departments can use the data to map the extent of forest resources, and their change over time
* Community-based resource management projects can use these data as a measure of the effectiveness of different types of project interventions and tenure regimes
* National governments will be able to improve the quality of the data they submit to the UN climate processes on land use emissions, to the FAO on forest extent and quality, and also to monitor the sustainable development goals. The use of the SECO data for these purposes will reduce costs and improve data quality, as currently many key processes e.g. forest degradation, are not reported by most of the countries in the dry tropics. This will be the focus of our pathways to impact work.
When aggregated to provincial or national scale, the SECO data are useful for policy makers prioritising investments in forest management or seeking to reduce deforestation and degradation as part of international commitments under the Paris Agreement. Bi-lateral (e.g. UK DfID) and multi-lateral (e.g. the World Bank) development donors also need such information to help prioritise their multi-billion dollar investments in sustainable forestry and land management.
Nearly all national forest / land management agencies report data to the FAO on forest resources and to the UN and related bodies on land use emissions. Particularly in resource-poor, developing, countries, these reports often use outdated or inconsistent data. Our Pathways to Impact work will focus on this issue, supporting six national agencies in southern and central Africa to utilise the SECO data for their needs. This will involve a bespoke programme of training, mentoring and opportunities for collaboration, aimed at utilising the SECO data in their work. This will benefit these agencies by:
1) Reducing the effort needed to gain an accurate estimate of land use change emissions and forest resource changes at national and subnational scales, and
2) Improving the quality of such estimates based on state-of-the-art remote sensing and modelling, tailored to the conditions of the dry tropics.
To achieve these benefits, we will produce new training materials, examples of using the SECO data for common tasks, and make the data accessible in a variety of formats and resolutions. This will be combined with face-to-face meetings and webinars throughout the duration of SECO.
Organisations
- University of Edinburgh (Lead Research Organisation)
- Kenya Forestry Research Institute (Project Partner)
- Mato Grosso State University (Unemat) (Project Partner)
- ROYAL BOTANIC GARDENS, KEW (Project Partner)
- Dry Ecosystems Foundation of Colombia (Project Partner)
- Universidade Federal da Bahia (Project Partner)
- University of the Witwatersrand (Project Partner)
- State University of Noth Fluminense (Project Partner)
- UNIVERSIDADE ESTADUAL DE MONTES CLAROS (Project Partner)
- University of Minnesota Morris (Project Partner)
- Yucatan Center for Scientific Research (Project Partner)
- University of British Columbia (Project Partner)
- Federal University of Lavras (Project Partner)
- National Centre for Biological Sciences (Project Partner)
- University of Lubumbashi (Project Partner)
- University Gabriel Rene Moreno (Project Partner)
- Higher Institute of Educational Sciences (Project Partner)
- University of Minnesota (Project Partner)
- Instituto Federal (Project Partner)
- Forests, Resources and People (Project Partner)
- James Cook University (Project Partner)
- Pondicherry University (Project Partner)
- Clemson University (Project Partner)
Publications
Amy C. Bennett
(2023)
Sensitivity of South American tropical forests to an extreme climate anomaly
Amy C. Bennett
(2023)
Sensitivity of South American tropical forests to an extreme climate anomaly
Andrews C
(2024)
Resilience, remoteness and war shape the land cover dynamics in one of the world's largest miombo woodlands
in Trees, Forests and People
Benitez LM
(2024)
Fragmentation in patchy ecosystems: a call for a functional approach.
in Trends in ecology & evolution
Bennett A
(2023)
Sensitivity of South American tropical forests to an extreme climate anomaly
in Nature Climate Change
Davies R
(2023)
Precipitation gradients drive high tree species turnover in the woodlands of eastern and southern Africa
in Ecography
De Lima RAF
(2022)
Making forest data fair and open.
in Nature ecology & evolution
Diesse H
(2025)
Quantifying unseen woody biomass and diversity in understorey trees and shrubs at the extremes of water availability in the Miombo ecoregion
in Forest Ecosystems
| Description | Outputs from our work have been used by the Zimbabwe Forestry Commission to improve their land use carbon emissions reporting to the UNFCCC |
| First Year Of Impact | 2024 |
| Sector | Environment |
| Impact Types | Policy & public services |
| Description | A data science community of practice to support locally-led management of African natural resources (DataNRM) |
| Geographic Reach | Africa |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Impact | DataNRM aimed to enhance capabilities in emerging frontiers of data science linked to locally-led natural resource management (NRM). This has led to new data science methods being embedded into ongoing research and teaching across the continent, with the longer term aim of supporting improved governance and management of natural resources. The inclusion of participants from national government departments has also facilitated skills and knowledge transfer within these realms. |
| Description | Field-based training in understorey protocols - Tanzanian workshop |
| Geographic Reach | Africa |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Impact | The researchers from African universities and governmental institutions had understood the overlooked importance of the understorey, both in terms of it's contribution to biodiversity and to carbon dynamics. The groundlayer contains a far larger proportion of species diversity and carbon in arid systems. Furthermore, quantifying grass composition and biomass will aid in quantifying fire dynamics and subsequent GHG emissions. The participants with their newly-acquired skills will be able to share these within their institutions and communities of practice. |
| Description | GEOTrees Participation |
| Geographic Reach | Multiple continents/international |
| Policy Influence Type | Participation in a guidance/advisory committee |
| Impact | Through their successful promotion of the importance of the dry tropics to global carbon dynamics, Kyle Dexter and John Godlee have been key to GEOTrees consideration of long-term monitoring plots in Africa and South America. New monitoring plots were placed in Angola with further discussions on future sites in Tanzania. This improves the quality and representivity of global carbon monitoring. |
| Description | Improving Zimbabwe's National GHG emissions reporting |
| Geographic Reach | National |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Impact | David Milodowski engaged with the Zimbabwe Forestry Commission to explore modelling tools that ZFC could use to input the existing data they collect in the field into practicable reporting formats for national IPCC requirements. These discussions will form the basis for the tool development and roll-out at a subsequent workshop planned Q1 2026 which will improve Zimbabwe's reporting from Tier 1 to Tier 2, or possibly even Tier 3. |
| Description | SEOSAW-KEFRI Workshop: Monitoring carbon in the woodlands |
| Geographic Reach | Africa |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Impact | This workshop brought together national (Kenyan) and international stakeholders in monitoring carbon in Africa. The aim was to share experiences and lessons learned in the carbon sector, with a focus on local and national needs and challenges. Representatives from other countries in Africa were present to exchange knowledge. We explored themes on measuring, monitoring and reporting carbon and the links between biodiversity-livelihoods-climate change with carbon monitoring. The engagement at the workshop challenged existing views on competing objectives for biodiversity-livelihoods-climate change-carbon and evoked constructive discussion about mitigating the trade-offs to maximise environmental and societal benefit. The workshop also served as a (rare) networking event between experts and practitioners within silo-ed institutions in Kenya as well as across national boundaries in Africa. |
| Description | Zimbabwe Forestry Commission Data Analysis Workshop |
| Geographic Reach | National |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Impact | This workshop developed the capacity of the Zimbabwe Forestry Commission to accurate collect, process and analyse the data from their forest inventories to meet national reporting requirements (e.g. UNFCCC, IPCC). Showcasing the data analysis results to the departental director also strengthened the importance of the work our ZFC colleagues are undertaking. |
| Description | NERC-FAPESP PhenoChange: Towards a Dry Tropics Global Phenological Monitoring Network |
| Amount | £83,554 (GBP) |
| Funding ID | NE/X002993/1 |
| Organisation | Natural Environment Research Council |
| Sector | Public |
| Country | United Kingdom |
| Start | 11/2022 |
| End | 10/2024 |
| Description | Pathways of resilience and evasion of tipping in ecosystems |
| Amount | € 10,000,000 (EUR) |
| Organisation | European Research Council (ERC) |
| Sector | Public |
| Country | Belgium |
| Start | 08/2024 |
| End | 09/2029 |
| Description | Resolving the drivers of restoration effectiveness and leakage in wooded savannas |
| Amount | £845,456 (GBP) |
| Funding ID | NE/Z50404X/1 |
| Organisation | Natural Environment Research Council |
| Sector | Public |
| Country | United Kingdom |
| Start | 02/2025 |
| End | 02/2029 |
| Description | Tree2Globe |
| Amount | € 2,500,000 (EUR) |
| Organisation | European Research Council (ERC) |
| Sector | Public |
| Country | Belgium |
| Start | 09/2024 |
| End | 10/2029 |
| Description | A data science community of practice to support locally-led management of African natural resources (DataNRM) |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | DataNRM aimed to enhance capabilities in emerging frontiers of data science linked to locally-led natural resource management (NRM). The format was a 6 month series of workshops and practice-based learning co-led by African and Global North practitioners will develop new knowledge and "train-the-trainers" at 15 African institutions. This has led to new data science methods being embedded into ongoing research and teaching across the continent, with the longer term aim of supporting improved governance and management of natural resources. |
| Year(s) Of Engagement Activity | 2024 |
| Description | Field-based training in understorey protocols - Tanzanian workshop |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The workshop had the following intentions: - Train early career African scientists and foresters in the collection of groundlayer (grasses and other non-woody herbaceous vegetation) data to help fill the critical need for groundlayer data in the region - Network early career African scientists and foresters across national, disciplinary and institutional boundaries - Field test the GGG groundlayer composition and functional attributes protocol in an African woodland system (previously tested in South America and Madagascar) - Field test the SEOSAW herbaceous biomass protocol (in conjunction with the GGG protocol) - Develop a prototype shrub protocol - Field test the integration between the suite of SEOSAW sampling protocols: plot design and tree stem measurements, coarse woody debris methods, small stem (regenerating stems) measurements, shrub measurements, herbaceous biomass measurements, plant functional traits measurements, soil sampling methods, and social-ecological surveys. - Collect groundlayer data with the aim of engaging an early career researcher to lead a publication and contribute to the GGG database - Increase the collaboration between SEOSAW, TAFORI and the GGG - Engage interest in SEOSAW and groundlayer data with graduate students at Sokoine University of Agriculture |
| Year(s) Of Engagement Activity | 2022 |
| Description | Improving Zimbabwe's National GHG emissions reporting |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | A SECO Post-doctoral Researcher (David Milodowski) presented the ways his carbon modelling framework could improve Zimbabwe's National GHG reporting to the IPCC. He engaged with the Zimbabwe Forestry Commission to explore tools that ZFC could use to input the existing data they collect in the field into practicable reporting formats. These discussions will form the basis for the tool development and roll-out at a subsequent workshop planned Q1 2026. |
| Year(s) Of Engagement Activity | 2025 |
| Description | SEOSAW-KEFRI Workshop: Monitoring carbon in the woodlands |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | This workshop brought together national (Kenyan) and international stakeholders in monitoring carbon in Africa. The aim was to share experiences and lessons learned in the carbon sector, with a focus on local and national needs and challenges. Representatives from other countries in Africa were present to exchange knowledge. We explored themes on measuring, monitoring and reporting carbon and the links between biodiversity-livelihoods-climate change with carbon monitoring. |
| Year(s) Of Engagement Activity | 2023 |
| Description | Zimbabwe Forestry Commission Data Analysis Workshop |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Casey Ryan and Lorena Benitez (project officer) traveled to Harare, Zimbabwe to host a workshop with the Zimbabwe Forestry Commission (ZFC). Has permanent sample plots as well as single census data that spans ZImbabwe. For six days, we worked with ZFC to teach them how to clean their data, analyze trends with both single census and multiple census data, and visualize the results using R. A report of the results is in progress, but good progress was made on analyzing plots stretching back as far as the 1990's. Plans have been made for further analyses and collaboration. Seven people from ZFC attended and the director of research came by to hear the results. We also had a professor from University of Zimbabwe drop by occasionally. There was much enthusiasm from the entire group. |
| Year(s) Of Engagement Activity | 2022 |
