Jeanine Rhemtulla

Associate Professor

Research Classification

Research Interests

Ecology and Quality of the Environment
Ecological Trends
Landscape and Restoration
Environment Management and Protection
Biodiversity and Biocomplexity
Conservation & Poverty Alleviation
Ecosystem services
Landscape ecology & spatial analysis
socio-ecological systems
Temperate & tropical forest & agroforestry systems

Relevant Thesis-Based Degree Programs

Affiliations to Research Centres, Institutes & Clusters


Research Methodology

GIS & spatial analysis
Historical ecology (mapping landscape change using census data, satellite imagery, archival materials, oral history)


Master's students
Doctoral students
Postdoctoral Fellows

Forest restoration in tropical systems

I support public scholarship, e.g. through the Public Scholars Initiative, and am available to supervise students and Postdocs interested in collaborating with external partners as part of their research.
I support experiential learning experiences, such as internships and work placements, for my graduate students and Postdocs.

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Graduate Student Supervision

Master's Student Supervision

Theses completed in 2010 or later are listed below. Please note that there is a 6-12 month delay to add the latest theses.

A predictive modeling and ecocultural study of pine mushrooms (Tricholoma murrillianum) with the Lil'wat Nation in British Columbia, Canada (2021)

Although recognized by the United Nations Declaration on the Rights of Indigenous Peoples (UNDRIP), Indigenous rights to traditionally held and managed forestlands and forest resources are only beginning to gain visibility in forest research and management in Canada. This presents challenges to First Nations whose cultural and economic priorities for forest use conflict with those of private and public entities, particularly when evidence is required to support traditional use claims. Knowledge of traditional use is customarily maintained as oral history and is rarely available in formats recognized by Canadian legal and governance institutions. Such is the case with the Líl̓wat First Nation, in British Columbia, Canada, and Tricholoma murrillianum (pine mushroom), an elusive, ectomycorrhizal mushroom species whose value to Líl̓wat people is put at risk by competing timber interests. Rich Líl̓wat Indigenous knowledge (IK) of pine mushrooms signals their importance and is encoded in temporally long and detailed records of their presence on the landscape. I elicit Líl̓wat IK to generate a map of pine mushroom habitat in their traditional territory and demonstrate the multifaceted value of pine mushrooms to Líl̓wat people. I utilize the species distribution modeling (SDM) software Maxent to compare two methods for incorporating Líl̓wat IK to produce pine mushroom occurrence data, yielding two models of suitable habitat. I demonstrate that Líl̓wat IK generates species distribution models with high area under the curve values (0.920, 0.923) and low omission error rates (0.054, 0.062). This study also demonstrates the novel application of IK to fungi SDM. Drawing from semi-structured interviews, document analysis and discourse analysis, I show that harvesting pine mushrooms is an expression of Líl̓wat cultural revitalization and consequently, colonial resistance. Documented traditional Líl̓wat practices show that pine mushrooms have long been managed in relation to other species, such as deer, and as part of broader sociocultural systems founded in reciprocity. Where Western scientists are increasingly interested in working with Indigenous communities and IK, I highlight respectful and reciprocal ways in which ecological and ethnoecological research can be undertaken.

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Biodiversity, agricultural productivity, and landscape context in organic vs conventional rice paddy wetlands in Kerala, India (2018)

Agriculture is the most extensive global land use and a leading cause of biodiversity loss. Organic farming is often promoted as a means of reducing agricultural impacts on biodiversity by reducing or avoiding chemical fertilizers and pesticides, and can result in a 30 percent increase in biodiversity for some species in some systems. A potential trade-off is that organic agriculture can lower crop yields, thereby requiring a greater land area to meet crop production goals. In this study, I examined whether forest cover surrounding rice wetlands can reduce the trade-off between biodiversity and productivity via comparison of paired organic and conventional farms. I compared abundance, Simpson diversity, and rarefied richness of amphibians, and abundance of arthropods in organic and conventional rice wetlands in four districts in Kerala, southern India, from July to October of 2016. I selected 31 organic rice fields and paired each with a nearby conventional field. Pairs were located to maximize the variation in forest cover in the landscape surrounding the fields. Farmers provided data on mean rice yields of each farm.Amphibians were significantly more abundant and diverse in organic fields, and species composition differed from those of conventional fields. Arthropods were more abundant in organic fields. While mean yield (tons of rice/hectare) of organic farms was significantly lower than in conventional farms, landscape context ameliorated the trade-off between productivity and biodiversity. In organic fields surrounded by more forest patches, rice yields did not decrease as much compared to the landscapes with less forest, while the increase in biodiversity (as compared to nearby conventional agriculture) was not as large. My results suggest that forested landscapes reduce the trade-off between biodiversity and productivity in rice fields in Kerala. These results could aid in designing agricultural ecosystems that maximize biodiversity benefits. For example, promoting more diversified tree-based agroecosystems, and protecting remaining uncultivated areas in the landscape could improve farmland biodiversity while minimizing the impacts to the agricultural productivity of the landscape. Furthermore, in intensively managed landscapes comprised of cropland and urban land cover, organic farming may have a larger effect on biodiversity than in landscapes with more forest cover.

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Forest dependence and forest degradation in southern Malawi (2018)

Rural small-holder farmers in the tropics rely on forests for multiple ecosystem services, such as provisioning services for fuelwood, timber, wild foods and medicinal plants. Yet many of these forests are undergoing degradation and loss, thus jeopardizing long-term ecosystem functioning and services. Measuring levels of forest dependence in agricultural communities is key to understanding livelihood sustainability and potential approaches to forest-based poverty alleviation. Understanding the ecological changes in forests where communities collect forest products, particularly fuelwood, is important for identifying approaches to forest conservation. To address these issues, I conducted social and ecological research in southern Malawi. I conducted household surveys (n=157) in agricultural communities to assess levels of forest dependence. I developed a new index to measure forest dependence that incorporates: the diversity of forest products collected to meet household needs, the effort involved in collection, relative wealth, and alternative livelihood strategies. I compared the index values for the study area to relative forest income values, the proportion of total income comprised by forest-derived income, which is the commonly used measurement of forest dependence. I showed that the relative forest income approach may underestimate levels of forest dependence, and that my new index provides insights into additional livelihood aspects of household forest dependence. I investigated tree species richness, abundance, diversity, composition and aboveground carbon (AGC) in forest plots (n=86) in the miombo woodlands where the farming communities harvest fuelwood, and compared them to reference sites in relatively undisturbed forests. I investigated whether proxies for harvesting access (elevation and distance to the main road) and harvesting pressure (number of settlements within a 3 km buffer) were correlated with the vegetation characteristics in the fuelwood harvesting sites. Tree species richness, abundance, diversity and AGC were lower in fuelwood harvesting sites than reference sites, species composition was significantly different, and the proxies for harvesting pressure and access were correlated with species abundance and AGC. The findings suggest that long-term sustainability of forest collection may be hindered due to forest degradation, which is problematic given the high forest dependence in the area. Interventions to increase sustainability of the social-ecological system could be explored.

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