Environmental Research Institute - Masters by Research Theses

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The influence of community-defined land use plans and de facto land use practices on the relative abundance and distribution of large wild mammals in a community-based Wildlife Management Area in southern Tanzania
(University College Cork, 2023) Duggan, Lily; Killeen, Gerry; Butler, Fidelma; Mombo, Felister; AXA Research Fund
This study investigates the relationship between community-defined land use plans and de facto land use practices, and the influence of the latter on the relative abundance and distribution of large wild mammals in a community-based Wildlife Management Area (WMA) adjacent to Nyerere National Park (NNP) in southern Tanzania. The WMA model represents a relatively new approach to community-based conservation in Tanzania, in which local villages set aside part of their land for wildlife conservation and manage that resource collectively, so that their stakeholder communities can leverage economic and social benefits from income-generating activities like tourism. The Ifakara-Lupiro-Mangula (ILUMA) WMA acts as a key buffer zone between the fully domesticated habitats of the villages to the north and west, and Nyerere National Park to the east. All observed signs of wildlife and human activity were recorded across 32 locations inside ILUMA and in the permanent settlements and national park that border it to the west and east, respectively. For the great majority of wild mammal species, surveys around water bodies within a 2km radius of suitable camping locations proved more sensitive than those along transects between them. The latter transect surveys were only more sensitive for Sable and Spotted Hyena, which are known to routinely commute considerable distances across their home ranges, and for Greater Kudu that seldom drink surface water. Across much of ILUMA WMA, in areas where agreed land use plans were not adhered to, rampant cattle herding and land clearing for cultivation of rice and other tillage crops were associated with reductions in wildlife richness and biodiversity, as well as overall ecosystem integrity. Many unauthorised human activities were recorded inside ILUMA, such as livestock herding, charcoal burning and agriculture, and, where they occur at a high density, wildlife populations are negatively affected. Although all these activities impact wildlife to some degree, cattle herding had the most severe negative effect on wildlife (Species Richness, P=0.002, Simpson’s Index of Diversity, P=0.0022) and ecosystem integrity (P <<0.0001). Nevertheless, several well-managed authorised human settlements within the WMA, where fishing is the primary authorised livelihood, support thriving wildlife populations and pristine land cover, so human settlement per se was not found to be associated with reductions of any of these composite indices (P≥0.4532), except for the novel subjective natural ecosystem integrity index (P=0.0256). Correspondingly, the best conserved parts of the WMA were those closest to the national park to the east and the fishing villages to the north, where compliance with agreed land use plans is highest. Overall, this study illustrates how well-managed WMAs can host resident local communities undertaking selective and appropriately regulated natural resource extraction activities, while maintaining a rich and diverse local wildlife population and acting as an effective buffer zone between fully domesticated areas of human habitation and pristine environments such as national parks. Furthermore, this study also developed and evaluated a novel method for synthesizing consensus subjective impressions of the investigators and intuitively expressing them in semi-quantitative format as a readily interpreted subjective natural ecosystem integrity index that accounts for all aspects of land use, wildlife and human activities. Crucially, however, this alternative to statistical syntheses of extensive, formally collected survey data is intuitively accessible to all manner of stakeholders, including relevant communities, and should be far better suited to routine programmatic monitoring through participatory approaches.
Blood host preferences and competitive inter-species dynamics within an African malaria vector species complex inferred from signs of animal activity around aquatic larval habitats distributed across a gradient of fully domesticated to fully pristine ecosystems in southern Tanzania
(University College Cork, 2023) Walsh, Katrina; Killeen, Gerard; Butler, Fidelma; Kaindoa, Emmanuel; AXA Research Fund; University College Cork
The effectiveness of current first-choice vector control interventions on the semi-zoophagic vector Anopheles arabiensis are limited, among other things, by insecticide resistance and their ability to acquire non-human bloodmeals. Across much of southern Tanzania, in areas where humans and cattle are readily available, it is the predominant member sibling species of the Anopheles gambiae complex. However, little is known about its population dynamics or blood utilization behaviours in pristine natural ecosystems, where these known preferred hosts are scarce or completely absent. This study investigated larval habitat occupancy and species composition of the An. gambiae complex, together with the availability of various potential mammalian blood host species, across a gradient of fully domesticated to fully pristine ecosystems in southern Tanzania. Potential aquatic habitats were surveyed at 40 locations encompassing permanent human settlements, a community-owned Wildlife Management Area with varying degrees of human activity, and Nyerere National Park (NNP), which had very little. To investigate the effects of potential host availability on the species composition of the complex, all direct observations, tracks and signs of humans, livestock and wild animals observed around the surveyed larval habitats were recorded in parallel. The resulting data were analysed by logistic regression using generalized linear mixed models. Odds of habitat occupancy by An. gambiae complex larvae decreased by 62% (P<0.0001) across the full range of natural ecosystem integrities observed, from fully domesticated to completely pristine areas, suggesting that the availability of suitable blood hosts had a modest effect on overall habitat utilization by this taxon. However, while only An. arabiensis, a key vector of residual malaria transmission, was found in fully domesticated ecosystems, its non-vector sibling species An. quadriannulatus also occurred in conserved areas and dominated the most pristine natural ecosystems. The proportion of An. arabiensis versus An. quadriannulatus was positively associated with the number of times humans and/or cattle (P=0.0007) were detected at a location and negatively associated with distance inside NNP and away from human settlements (P<0.0001). Nevertheless, An. arabiensis was found even in absolute pristine environments that were >40km away from any signs of human or livestock, suggesting this species can survive on blood from one or more wild animal species. High proportions of An. quadriannulatus inside NNP were positively associated with the number of times impala were detected (P<0.0001), suggesting they may be a preferred blood source for this non-vector, giving it a competitive advantage over An. arabiensis where this antelope is abundant. Despite being detected less frequently, bushpig were also positively associated with high proportions of An. quadriannulatus, suggesting they provide a second preferred blood source, particularly in the miombo woodlands of the buffer zone where impala were scarce. Overall, it seems that the availability of preferred hosts influences the competitive balance between these sibling species and that refugia populations of An. arabiensis can persist in wild areas, thus presenting both challenges and opportunities for control interventions: While such refuge populations deep inside pristine conservation area may confound attempts to repeat historical successes with eliminating this species from areas outside its natural range, it may also constitute a reservoir of diverse, unselected genomes with original wild-type insecticide susceptibility traits that could repopulate areas around human settlements that had otherwise been considered lost from the natural gene pool.
Urban trees and biodiversity in Cork city
(University College Cork, 2022) Marron, Caoimhe; Lettice, Eoin; Doyle Prestwich, Barbara
Biodiversity is poorly quantified in urban landscapes and is not effectively incorporated into urban planning and policymaking. Land-use change (e.g., urbanisation) is one of the key drivers of biodiversity loss. Furthermore, urbanisation is expected to increase from 50 to 70% by 2050. The CSO reported a 0.6% decrease of residents living in highly rural areas of Ireland (2011-2016), including a 5.5% increase in residents living in independent urban towns. Urban trees have a broad range of ecosystem services; it is likely that many of these services will become increasingly important due to climate change pressures (e.g., changing climatic conditions, extreme natural occurrences). This thesis examines the role of urban trees/green spaces in supporting the biodiversity of other taxa (lichens, invertebrates, birds, and ground vegetation) in Cork city. There was a total of 102 individual trees studied across 6 Cork city sites, including the UCC arboretum (n=26); Cork city Marina (n=12); the Atlantic Pond (n=17); Kennedy Park (n=11); The Lee Fields (n=18); Fitzgerald’s Park (n=18). A full survey of all 4 taxa was conducted per tree, including the use of sticky traps for invertebrates; quadrat sampling for both vegetation and lichens; and observational point-counts for birds. There were no significant differences/associations between the species richness of the various taxa and the species of tree. This could be due to a limited number of replicate trees, which can be expected with an observational-based approach. However, community-level analyses have shown significant variations in the taxa communities among the 6 sites (p<0.001 for all taxa). These data suggest that the type of urban site is significantly associated with biotic community composition. Additionally, the research investigates the relationship that microclimate (light intensity and temperature) and canopy openness have with urban tree species. Microclimate data loggers were deployed at the base of all trees for each experiment and hemispherical canopy images were taken to determine canopy openness in Fitzgerald’s Park. In general, there were no, or little associations found between microclimate data, canopy openness and biodiversity. Thus, the assessment of the hypothesis that microclimate conditions impact taxa communities was inconclusive. Overall, the study supported the hypothesis that urban trees and green spaces support a large variety of individuals from other taxa and provides a baseline for biodiversity in Cork city, specifically regarding future studies and urban planning.
Primary and secondary emissions from upland fires in Ireland
(University College Cork, 2023-04-26) Felberbauer, Clara; Hellebust, Stig; Venables, Dean; Environmental Protection Agency; Horizon 2020
Emissions from wildfires have detrimental effects on air quality, climate change and human health. Despite frequent occurrence of wildfires and prescribed agricultural burns in upland areas, data on wildfire emissions in Ireland is scarce. This work was conducted as part of FLARES (Fire, Land and Atmospheric Remote Sensing of EmissionS), a project funded by the Irish Environmental Protection Agency (EPA) to improve the understanding of Irish upland fire emissions. Emission factors (EF) of typical Irish wildfire fuels (heather, gorse, purple moor grass) were measured for the first time. Emission factors were measured for a set of gases (carbon monoxide CO, carbon dioxide CO2, methane CH4, sulphur dioxide SO2 and nitric oxides NOx as NO), particulates and particulate fractions (fine particulate matter PM2.5, total particulate matter TPM, black carbon BC, organic carbon OC, elemental carbon EC and total carbon TC) and molecular biomarkers (levoglucosan, mannosan, galactosan, 4-Nitrocatechol 4-NC, 4-Nitrophenol 4-NP and 4-Nitroguaiacol 4-NG). Emission factors of measured gases were as follows: CO: 42 g/kg (heather), 27 g/kg (moor grass) and 80 g/kg (gorse); CO2 1167 g/kg (heather), 1558 g/kg (moor grass) and 1442 g/kg (gorse); SO2: 1.38 g/kg (heather), 1.08 g/kg (moor grass) and 1.68 g/kg g/kg (gorse); NOx as NO: 4.46 g/kg (heather), 5.51 g/kg (moor grass), and 6.85 g/kg (moor grass); CH4: 0.21 g/kg (moor grass) and 0.38 g/kg (gorse). Particulate EFs resulted in EF of 4.71 g/kg (heather), 2.42 g/kg (moor grass) and 10.46 g/kg (gorse) for PM2.5; 3.95 g/kg (heather), 4.26 g/kg (moor grass) and 14.33 g/kg (gorse) for TPM; 0.26 g/kg (heather), 0.21 g/kg (moor grass) and 0.50 g/kg (gorse) for BC; 1.28 g/kg (heather), 1.26 g/kg (moor grass) and 5.43 g/kg (gorse) for OC; 0.80 g/kg (heather), 0.81 g/kg (moor grass) and 2.23 g/kg (gorse) for EC; 2.09 g/kg (heather), 2.07 g/kg (moor grass) and 7.65 g/kg g/kg (gorse) for TC. EFs for biomarkers were 0.09 g/kg (heather), 0.18 g/kg (moor grass) and 0.19 g/kg (gorse) for levoglucosan; 0.01 g/kg (heather), 0.01 g/kg (moor grass) and 0.01 g/kg (gorse) for mannosan and 0.01 g/kg (heather), 0.01 g/kg (moor grass) and 0.02 g/kg (gorse) for galactosan; 0.78 mg/kg (heather), 0.42 mg/kg (moor grass) and 1.36 mg/kg (gorse) for 4-NC; 0.05 mg/kg (heather), 0.04 mg/kg (moor grass) and 0.07 mg/kg (gorse) for 4-NP and 0.25 mg/kg (heather), 0.15 mg/kg (moor grass) and 0.34 mg/kg (gorse) for 4-NG. Combustion took place under flaming combustion conditions, reflected in high modified combustion efficiencies (MCE) of 0.95 to 0.98. Emissions for species like CO, PM2.5 and volatile organic compounds (VOCs) would be expected to be higher under real-world conditions where MCE is lower. Secondary organic aerosol (SOA) formation from combustion emissions of the three fuels was studied under simulated day-time (UV lights and UV+OH precursor addition) and night-time conditions (dark + O3 addition) in an atmospheric simulation chamber. SOA mass increased by 2-11% and was dependent on fuel type and oxidising conditions. Field and laboratory samples were analysed at the Leibniz Institute for Tropospheric Research (TROPOS) in Leipzig, Germany. Filter samples were analysed for the biomarkers levoglucosan, mannosan, galactosan, 4-nitrocatechol, 4-nitrophenol, and 4-nitroguiacol. Laboratory experiments were complemented by field studies. Ambient levels of PM2.5 and BC were measured during an 8-week field study in Glencree, rural Co. Wicklow, Ireland. Source appointment of BC and analysis of biomarkers found no unambiguous signals that could be associated with wildfires. However, this dataset represents a valuable glance at air quality in a rural setting in Ireland. Despite the remote location and low population density in Glencree Valley, anthropogenic influences on air quality were significant, most notably from residential solid fuel burning. Monthly PM2.5 concentrations in Glencree (4.6 μg m–3) were lower than in nearby urban Tallaght (7.0 μg m–3), but less than expected based on the difference in population and local pollution sources. Other field observations included opportunistic sampling of the plume of a major wildfire at Killarney National Park, Co. Kerry, in April 2022. Findings presented in this thesis contribute to the understanding of wildfire emissions in Ireland and highlight the influence of anthropogenic air pollution from solid fuel burning on rural locations.
A drifter-based self-powered piezoelectric sensor for ocean wave measurements
(University College Cork, 2022-07-01) Kargar, Seyyed Masoud; Hao, Guangbo; Kavanagh, Richard; European Regional Development Fund
In the present research, a drifter-based piezoelectric sensor is proposed to measure ocean waves’ height and period. To analyze the motion principle and the working performance of the proposed drifter-based piezoelectric sensor, a dynamic model is developed. The developed dynamic model investigates the system’s response to an input of ocean waves and provides design insights into the geometrical and material parameters. Next, finite element analysis (FEA) simulations using the commercial software COMSOL-Multiphysics have been carried out with the help of a coupled physics analysis of Solid Mechanics and Electrostatics Modules to achieve the output voltages. An experimental prototype has been fabricated and tested to validate the results of the dynamic model and the FEA simulation. A slider-crank mechanism is used to mimic ocean waves throughout the experiment, and the results show a close match between the proposed dynamic modeling, FEA simulations, and experimental testing. In the end, a short discussion is devoted to interpreting the output results; comparing the results of the simulations and the experimental testing; the sensor’s resolution; and the self-powering functionality of the proposed drifter-based piezoelectric sensor.

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