Investigating how diverse forest and tree-based systems influence local climate and community resilience in rural Tanzania

Investigating how diverse forest and tree-based systems influence local climate and community resilience in rural Tanzania

Quick Decision

Strong but verify fit. This is a distinctive October 2027 doctoral project for someone who wants to join forest-climate measurement with social research on rural livelihoods and adaptation. The work would compare natural, regenerating and agroforestry/tree-cover systems in Tanzania, combining in-situ monitoring and satellite data with interviews, livelihood diaries and community visioning. The named team spans rural livelihoods, forest-climate science and Tanzanian forest conservation, and the project builds on work with the Tanzania Forest Conservation Group (TFCG) in Lindi Region. (official project overview, TFCG LONG FALLOWS project)

The main condition is methodological fit: the project expects comfort with advanced quantitative and qualitative environmental/social evidence and collaborative fieldwork. Previous work in Tanzania or a comparable rural tropical setting is advantageous, not stated as mandatory. Funding is advertised at the network level as a full studentship, but the individual award letter, 2027/28 stipend, research budget and registration period are not published here. (official project overview, network funding FAQ)

Application dates need confirmation before relying on the portal. The supplied project advert lists 11 January 2027 deadline, while official application pages list 12 January 2027 at 13:00 GMT. Official opening dates also conflict: the YES-DTN “Join us” page says 2 November 2026 at 10:00, while the detailed application guide says 12 November 2026 at 10:00 GMT; the guide says forms will not be available before then. As checked on 5 November, these pages leave actual form availability unclear. Confirm the live forms and request written confirmation of both dates; if applying, aim to submit by the earlier closing date. (Join us page, official application guide)

Research Problem and Doctoral Work

What Is Unsolved and Why It Matters

Tropical forests affect surface temperature, rainfall and water cycling, but the evidence base for local climate effects is uneven. A 2026 review found only four Africa-scoped records among 69 studies of local forest-climate impacts; South America and Asia dominated. The review also found demand from conservation practitioners for evidence that is local and useful for planning. This project responds by focusing on Tanzania and by distinguishing several landscape components—mature natural forest, regenerating fallows, agroforestry/tree systems and surrounding agricultural land—rather than treating tree cover as a single category. (Doggart et al., 2026 review, official project overview)

The issue matters because changes in temperature, rainfall and water availability can shape agricultural decisions and household responses to climatic uncertainty. Recent climate research supports broad forest-rainfall relationships, but evidence from the tropics or Amazon cannot establish the size or direction of effects in Lindi. A central research challenge will be separating land-cover effects from weather variability, topography, land-use history and local agricultural patterns. (Smith, Baker & Spracklen, 2023, Baker et al., 2026)

Work, Methods, and Potential Outputs

The stated aim is to examine how diverse forest and tree-cover types influence local climate and community resilience in rural Tanzania. The project objectives are to compare forest/tree-cover effects on local and regional climate; document local perceptions of forests, environmental change and climate variability; and analyse how climate-regulating services relate to adaptation strategies, land-use decisions, aspirations and expected futures. The advert says the work builds on collaborative research with communities and TFCG in Lindi Region. (official project overview)

The advertised methods are complementary:

• Environmental monitoring: in-situ observations to characterize local conditions, with the exact variables and sensor plan still to be specified.
• Remote sensing and spatial analysis: land-cover and climate datasets to distinguish forest types and interactions with surrounding agriculture.
• Quantitative analysis: compare climate and land-cover patterns across the forest mosaic while accounting for natural climate variability and other confounders.
• Qualitative and participatory research: life-history interviews, livelihood diaries and community visioning exercises to understand lived experience, adaptation and future plans.

Potential outputs could include an evidence-based comparison of forest types and local climate, a better account of how communities perceive climate variability and forest services, and findings on how those perceptions relate to livelihoods and land decisions. These are prospective research outcomes, not promised results. The advert does not yet provide the sampling frame, final sites, seasonal coverage, equipment, language plan or data-ownership arrangements; those details matter for judging feasibility within the funded period. (official project overview, Doggart et al., 2023)

School, Programme and Field Context

The project lists the University of Leeds School of Earth, Environment and Sustainability as its institutional home. Leeds is in the United Kingdom; Tanzania is the project geography and field location. The project page names TFCG as a partner, but does not state that TFCG awards the degree or that this is a joint degree. The central application guide requires selecting “NERC YES DTN Yorkshire Environmental Sciences” as the programme of study. (project overview, University of Leeds contact details, application guide)

For dated context, Leeds reports top 40 worldwide for Environmental Sciences in the QS World University Rankings by Subject 2026, and 77th overall in the QS World University Rankings 2027. The School also reports that 96% of its Earth Systems and Environmental Sciences REF 2021 research activity was rated world-leading or internationally excellent. These measures cover a university or broad academic unit, not this project or an individual supervisor. (School reputation and rankings)

The research environment has a strong fit with the proposed combination of physical and social science. The School's research map includes the Institute for Climate and Atmospheric Science and the Sustainability Research Institute (SRI). SRI reports more than 100 academic and research staff and emphasizes participatory, action-oriented research with government, NGOs and local communities. The YES-DTN describes cohort-based transferable-skills development and tailored technical training; those are network-level features, not a guarantee of a specific placement. (Leeds research groups, SRI, YES-DTN training)

The School describes a typical full-time PhD as three years, while the YES-DTN FAQ advertises 3.5 years of funding. The project-specific registration and award end dates are not stated. Ask how registration, funded time, fieldwork, any placement and writing-up time align before accepting an offer. (School research degrees, funding FAQ)

Supervisor and Lab Assessment

Supervisor Research Directions

The primary supervisor, Dr Susannah Sallu, is an Associate Professor in Environment and Development whose research covers rural livelihoods, social-ecological systems, resilience, climate and development, and Tanzania. Her profile describes participatory work with communities and partners across East and Southern Africa and extensive experience in Tanzania. (Sallu's Leeds profile)

Co-supervisor Dr Jess Baker specializes in forest-climate interactions, including tropical forest-atmosphere feedbacks, forest regrowth, rainfall and water cycles. Her profile describes satellite and ground-based measurements and climate-model evaluation. Dr Nike Doggart works on Tanzanian forest regeneration, swidden agriculture and forest-climate links; she previously worked with TFCG and leads the LONG FALLOWS project. (Baker's profile, Doggart's profile)

Recent Important Publications

• Doggart et al. (2026), “The impact of tropical forests on local climate.” A review of 69 publications paired with conservation-practitioner evidence, showing that Africa-specific local forest-climate work is limited. It is a direct statement of the project's research gap, not a measurement of Lindi's climate. (article)
• Durrant et al. (2025), “Understanding farmers’ attitudes and aspirations for tree-cover restoration in the Kilombero Valley, Tanzania.” Uses participatory future-farm scenarios and sentiment analysis. This is relevant social-method precedent, though the location and research question differ. (White Rose record)
• Doggart et al. (2023), “Agricultural fallows are the main driver of natural forest regeneration in Tanzania.” Combines remote sensing, field plots and structured interviews across Tanzanian village land, supporting the need to distinguish fallows from other tree-cover types. It studies regeneration, not climate effects. (White Rose record)
• Baker et al. (2026), “Quantifying tropical forest rainfall generation.” Synthesizes satellite observations and climate models to constrain rainfall generation. Its pantropical estimates establish a frontier; Amazon-specific values should not be transferred to Tanzania. (article)

Additional relevant work includes a 2023 Nature paper by Baker and co-authors on observed rainfall responses to tropical deforestation. (Smith, Baker & Spracklen, 2023)

Lab, Resources, and Collaboration Environment

The advertised team spans the environmental and social sides of the work, and the project is explicitly collaborative with TFCG. TFCG's LONG FALLOWS work in Lindi focuses on forest regeneration, swidden/fallow systems, agroforestry, community governance and livelihoods. This is a credible foundation for partnership, but the public project page does not detail field staff, monitoring equipment, existing data, local approvals, language support or the share of field supervision provided by TFCG. Clarify these operational commitments and how community findings will be returned to participants. (official project page, TFCG LONG FALLOWS)

Funding, Application, and Living Cost

The YES-DTN FAQ describes a full PhD studentship: a stipend at UKRI rates for 3.5 years (or 3.75 years with an eligible three-month industry placement), university fees, and generous support for research costs, fieldwork, training and conference travel. Up to 30% of full scholarships may be awarded to international applicants; the FAQ says the fee differential is covered. These are network-level rules. The project page does not state the award's individual stipend amount, precise research budget or any enhancement, so the offer letter remains decisive. (YES-DTN funding FAQ)

UKRI's published minimum stipend for 2026/27 is £21,805; the rate for the 2027/28 entry year is not confirmed on the pages reviewed. Leeds estimates an average student budget of £320 per week (£16,640 for 52 weeks) for 2026/27, including typical rent and living costs but excluding tuition, travel and one-off setup. The simple difference between the present stipend reference and average living-cost estimate is about £5,165 per year before those excluded costs and individual variation. Leeds lists 2027/28 international PGR fees of £33,000 per year for the School group, which should be covered if the full network award is made. (UKRI stipend guidance, Leeds living-cost estimate, Leeds research fees)

International candidates need English-language evidence. The School's generic minimum is a relevant 2:1 or equivalent (or a good Master's performance); it says a first-class degree is usually competitive for scholarship funding, and a Master's is valuable. The network says international candidates may be taxed in their home country, and that visa, health surcharge, relocation and travel-to-UK costs are not covered. The current UK Student visa fee is £558 and the current Student Immigration Health Surcharge is £776 per year; these rates and exact totals may change before 2027 entry. (School entry requirements, network FAQ, Student visa fee, IHS rate)

The central application guide says the window opens 12 November 2026 at 10:00 GMT and closes 12 January 2027 at 13:00 GMT, and requires both a Leeds Online Application and a YES-DTN JISC form. A separate official “Join us” page instead says applications open 2 November and close at 13:00 on 12 January. The detailed guide says the forms will not be available before 12 November, so actual portal availability was not established as of 5 November. (Join us page, official application guide)

Both closing-date sources require attention: the supplied project advert says 11 January 2027, while official programme pages say 12 January 2027 at 13:00 GMT. Obtain written confirmation and, if applying, aim to submit by 11 January. The Leeds form generates the student ID needed on the YES-DTN form and can take up to 48 hours; the guide advises submitting it several days before the deadline and says late applications will not be accepted. Applicants must submit certificates/transcripts (with certified English translations where needed), academic qualifications, work history if relevant, and a structured personal statement covering motivation, project interest and reasons for applying to the network. A second-choice project is optional but must be in the same school. (official application guide)

Applicant Fit and Preparation

Required Background and Skills

The project explicitly welcomes geography, environmental science, forestry, meteorology, climate science and related disciplines. The ideal candidate should be interested in interdisciplinary research, be comfortable working at an advanced level with both quantitative and qualitative environmental/social data, and be committed to collaborative field-based research with communities and partner organizations. The School's general minimum is a relevant 2:1 or equivalent, or good performance in a relevant Master's course. Confirm the specific award's equivalence assessment and English documentation requirements. (project overview, School entry requirements)

Preferred Experience and Suggested Preparation

Prior research experience in Tanzania or a comparable rural tropical context is advantageous, not a stated prerequisite. Useful preparation includes GIS/remote sensing or climate-data analysis; field measurement, environmental statistics or hydrology; interview/participatory methods; ethics and community engagement; and a clear account of how physical climate indicators and household adaptation evidence could be interpreted together. Candidates with depth in one methods domain should show a credible learning plan for the other. The application should avoid treating Tanzania experience or a Master's degree as a mandatory condition unless the programme confirms otherwise.

Next Actions and Questions to Verify

Before Applying

• Email the programme/project contact and ask for written confirmation of the binding deadline, since the supplied advert says 11 January while the central guide says 12 January at 13:00 GMT.
• After applications open on 12 November, complete both forms; submit the Leeds application early enough to receive the required student ID before completing the YES-DTN form.
• Confirm academic equivalence, English requirements and international-award eligibility for this project. Ask whether documents need certified translation and which credentials should be uploaded with the Leeds form.
• Contact the supervisor before applying, as the guide recommends. Ask about methodological fit and project scoping rather than sending application documents directly.

At Interview

• Which Lindi communities, forest-cover classes and seasons are in scope, and what in-situ variables, sensors and satellite/climate datasets are planned?
• How will the project distinguish forest effects from weather, topographic and land-use confounders?
• How are the three supervisors' roles divided across climate analysis, remote sensing, social science and field implementation?
• What are TFCG's day-to-day responsibilities, and what local partner, ethics, permit and language arrangements are already in place?
• How will community visioning, diaries and interviews complement the climate measurements and provide findings useful to participating communities?

Before Accepting an Offer

• What is the exact registration period and how does it relate to the 3.5-year stipend period and any writing-up year?
• What stipend rate will apply in 2027/28, and is the award enhanced or conditional on fee status?
• What project-specific fieldwork, equipment, travel, training and conference budget is available, and are bench or other additional study fees covered?
• What personal costs—visa, health surcharge, relocation, housing and travel—must an international student budget separately?

Evidence and Sources

Project, application and funding

• Official project overview: YES-27-A-23
• Official 2027 application guide
• YES-DTN Join us page
• YES-DTN funding and international-eligibility FAQ
• UKRI studentship guidance and current minimum stipend
• Leeds postgraduate research fees
• Leeds living-cost estimates
• University of Leeds contact details
• UK Student visa overview
• UK Immigration Health Surcharge rates

Institution, supervisors and partner

• Leeds School reputation and ranking scopes
• Leeds research-degree structure and environment
• Leeds School entry requirements
• Leeds research groups and themes
• Sustainability Research Institute
• Susannah Sallu profile
• Jess Baker profile
• Nike Doggart profile
• TFCG LONG FALLOWS in Lindi Region
• YES-DTN research training

Publications, field outlook and career context

• Doggart et al. (2026), local forest-climate evidence and NGO priorities
• Durrant et al. (2025), farmers' tree-cover restoration aspirations in Tanzania
• Doggart et al. (2023), fallows and forest regeneration in Tanzania
• Smith, Baker & Spracklen (2023), tropical deforestation and precipitation
• Baker et al. (2026), tropical forest rainfall generation
• YES-DTN environmental-research career pathways
• UK geospatial sector market report 2024
• JNCC Earth Observation Specialist role example