Western equatorial Pacific climate variability from restricted basins: Century scale changes in Kau Bay to glacial-interglacial changes in the Sulu Sea

The surface ocean in the western equatorial Pacific contains some of the warmest water on the planet in the western Pacific warm pool (WPWP). Changes in the size and scope of the warm pool have a significant impact on global climate. With the concern of changes in the extent of this body of water as a result of anthropomorphic changes in atmospheric composition, it is vital to investigate prior changes to the WPWP, the causes of such changes, and resultant effects. For my dissertation, I used several proxies to analyze sediments from Kau Bay and the Sulu Sea in Indonesia to examine changes within the WPWP over century and glacial-interglacial time scales, respectively. Organic matter proxies (δ15N, δ13C, C/N, relative composition and δ13C of fatty acids and alkanes) were analyzed at century-scale resolution from a core from Kau Bay, Halmahera, that spanned over the last ∼3,500 years. These proxies were used to decipher the flushing history of the basin and its relation to El Niño events and warm pool dynamics. Pteropod shells (Creseis acicula) were analyzed from the same cores from Kau Bay for δ 18O, δ13C, and Sr/Ca in order to test the utility of pteropod shells in paleoclimate studies and to determine possible changes in the hydrological cycle within Kau Bay and its relation to equatorial Pacific climate. The C. acicula data showed that Kau Bay water and, therefore, WPWP surface water, was likely warmer 3,000yrBP than throughout the last 2,200 years. Comparisons of this data to other records from the equatorial Pacific and South China Sea revealed that zonal dynamics and the EAM may have had an effect on WPWP and global climate throughout the late Holocene and that ENSO may affect climate change at this resolution. In the Sulu Sea, the δ18O of thermocline dwelling foraminifera, Pulleniatina obliquiloculata and Neogloboquadrina dutertrei, was analyzed and compared to mixed layer foraminifera to determine that the mixed layer was probably more shallow during interglacial stages than during glacial stages over the last 800kyr, likely in response to changes in sea level and monsoon intensity

Western equatorial Pacific climate variability from restricted basins: Century scale changes in Kau Bay to glacial-interglacial changes in the Sulu Sea

The surface ocean in the western equatorial Pacific contains some of the warmest water on the planet in the western Pacific warm pool (WPWP). Changes in the size and scope of the warm pool have a significant impact on global climate. With the concern of changes in the extent of this body of water as a result of anthropomorphic changes in atmospheric composition, it is vital to investigate prior changes to the WPWP, the causes of such changes, and resultant effects. For my dissertation, I used several proxies to analyze sediments from Kau Bay and the Sulu Sea in Indonesia to examine changes within the WPWP over century and glacial-interglacial time scales, respectively. Organic matter proxies (δ15N, δ13C, C/N, relative composition and δ13C of fatty acids and alkanes) were analyzed at century-scale resolution from a core from Kau Bay, Halmahera, that spanned over the last ∼3,500 years. These proxies were used to decipher the flushing history of the basin and its relation to El Niño events and warm pool dynamics. Pteropod shells (Creseis acicula) were analyzed from the same cores from Kau Bay for δ 18O, δ13C, and Sr/Ca in order to test the utility of pteropod shells in paleoclimate studies and to determine possible changes in the hydrological cycle within Kau Bay and its relation to equatorial Pacific climate. The C. acicula data showed that Kau Bay water and, therefore, WPWP surface water, was likely warmer 3,000yrBP than throughout the last 2,200 years. Comparisons of this data to other records from the equatorial Pacific and South China Sea revealed that zonal dynamics and the EAM may have had an effect on WPWP and global climate throughout the late Holocene and that ENSO may affect climate change at this resolution. In the Sulu Sea, the δ18O of thermocline dwelling foraminifera, Pulleniatina obliquiloculata and Neogloboquadrina dutertrei, was analyzed and compared to mixed layer foraminifera to determine that the mixed layer was probably more shallow during interglacial stages than during glacial stages over the last 800kyr, likely in response to changes in sea level and monsoon intensity

Social Media Advocacy

Our research project’s purpose is to inform the local community on the ethics and effectiveness as well as the exploitive power of using social media to promote international and domestic causes. We will educate the public and professionals on the responsible use of social media in advocacy and the consequences of its misuse. We will achieve this goal by researching social media movements and their lasting effects in academic journals and major news outlets. We will then share these findings in a presentation, educating our audience and providing them with the knowledge necessary for responsible use. The presentation will compare, contrast and analyze four international campaigns conducted over social media, resulting in various outcomes. The campaigns are the ALS Ice Bucket Challenge, Kony 2012, the #FirstWorldProblems Hashtag Killer by Water is Life ,and #bringbackourgirls

The politicisation of science in the Murray-Darling Basin, Australia:discussion of ‘Scientific integrity, public policy and water governance’

Many water scientists aim for their work to inform water policy and management, and in pursuit of this objective, they often work alongside government water agencies to ensure their research is relevant, timely and communicated effectively. A paper in this issue, examining 'Science integrity, public policy and water governance in the Murray-Darling Basin, Australia’, suggests that a large group of scientists, who work on water management in the Murray-Darling Basin (MDB) including the Basin Plan, have been subject to possible ‘administrative capture'. Specifically, it is suggested that they have advocated for policies favoured by government agencies with the objective of gaining personal benefit, such as increased research funding. We examine evidence for this claim and conclude that it is not justified. The efforts of scientists working alongside government water agencies appear to have been misinterpreted as possible administrative capture. Although unsubstantiated, this claim does indicate that the science used in basin water planning is increasingly caught up in the politics of water management. We suggest actions to improve science-policy engagement in basin planning, to promote constructive debate over contested views and avoid the over-politicisation of basin science

A family of process-based models to simulate landscape use by multiple taxa

Context: Land-use change is a key driver of biodiversity loss. Models that accurately predict how biodiversity might be affected by land-use changes are urgently needed, to help avoid further negative impacts and inform landscape-scale restoration projects. To be effective, such models must balance model realism with computational tractability and must represent the different habitat and connectivity requirements of multiple species. Objectives: We explored the extent to which process-based modelling might fulfil this role, examining feasibility for different taxa and potential for informing real-world decision-making. Methods: We developed a family of process-based models (*4pop) that simulate landscape use by birds, bats, reptiles and amphibians, derived from the well-established poll4pop model (designed to simulate bee populations). Given landcover data, the models predict spatially-explicit relative abundance by simulating optimal home-range foraging, reproduction, dispersal of offspring and mortality. The models were co-developed by researchers, conservation NGOs and volunteer surveyors, parameterised using literature data and expert opinion, and validated against observational datasets collected across Great Britain. Results: The models were able to simulate habitat specialists, generalists, and species requiring access to multiple habitats for different types of resources (e.g. breeding vs foraging). We identified model refinements required for some taxa and considerations for modelling further species/groups. Conclusions: We suggest process-based models that integrate multiple forms of knowledge can assist biodiversity-inclusive decision-making by predicting habitat use throughout the year, expanding the range of species that can be modelled, and enabling decision-makers to better account for landscape context and habitat configuration effects on population persistence

A family of process-based models to simulate landscape use by multiple taxa

Acknowledgements: We would like to thank all the volunteer surveyors who contributed data to the BTO/RSPB/JNCC Breeding Bird Survey and those who contributed data to the Field Survey within the BCT’s National Bat Monitoring Programme, without whom validation of the bird and bat models would not have been possible. We would also like to thank all the volunteer surveyors of Surrey Amphibian and Reptile Group, who kindly contributed their common lizard sightings and enabled validation of the reptile model. Finally, we would like to thank the regional ARGs and all the Toad Patrol volunteers, supported by Froglife, who took the time to fill in the toad habitat use questionnaire, so enabling validation of the amphibian model. EG acknowledges funding from a Research Programme Fellowship provided by the Natural Environment Research Council through UK Research and Innovation’s Landscape Decisions Programme (NE/V007831/1).Context: Land-use change is a key driver of biodiversity loss. Models that accurately predict how biodiversity might be affected by land-use changes are urgently needed, to help avoid further negative impacts and inform landscape-scale restoration projects. To be effective, such models must balance model realism with computational tractability and must represent the different habitat and connectivity requirements of multiple species. Objectives: We explored the extent to which process-based modelling might fulfil this role, examining feasibility for different taxa and potential for informing real-world decision-making. Methods: We developed a family of process-based models (*4pop) that simulate landscape use by birds, bats, reptiles and amphibians, derived from the well-established poll4pop model (designed to simulate bee populations). Given landcover data, the models predict spatially-explicit relative abundance by simulating optimal home-range foraging, reproduction, dispersal of offspring and mortality. The models were co-developed by researchers, conservation NGOs and volunteer surveyors, parameterised using literature data and expert opinion, and validated against observational datasets collected across Great Britain. Results: The models were able to simulate habitat specialists, generalists, and species requiring access to multiple habitats for different types of resources (e.g. breeding vs foraging). We identified model refinements required for some taxa and considerations for modelling further species/groups. Conclusions: We suggest process-based models that integrate multiple forms of knowledge can assist biodiversity-inclusive decision-making by predicting habitat use throughout the year, expanding the range of species that can be modelled, and enabling decision-makers to better account for landscape context and habitat configuration effects on population persistence

Principles of Responsible Management Education

Business and management education has received stark criticism over the last decade on a number of grounds including the extent to which it is producing leaders and managers who are effective, efficient, and more importantly, ethical (Ghoshal, 2005). This includes the claim that business and management education is not doing enough to promote the sorts of awareness and capacities for sustainability which transpire into practice (Crawford-Lee and Wall, 2018). Indeed, there is an ongoing view that current forms of business and management education promote dispassionate and detached perspectives in favour of profit, despite the development of social responsibility and triple bottom line paradigms (Wall, 2017; Wall, Tran and Soejatminah, 2017). Empirical work now seemingly supports this with evidence which suggests that business and management students are less ethical and are more corruptible than students from other disciplines (e.g. Haski-Leventhal, 2014), and that the Master of Business Administration (MBA) – the supposed flagship postgraduate programme of business schools – produces graduates which are demonstrably more self-serving than others (Miller and Xu, 2016)

A family of process-based models to simulate landscape use by multiple taxa

Context Land-use change is a key driver of biodiversity loss. Models that accurately predict how biodiversity might be affected by land-use changes are urgently needed, to help avoid further negative impacts and inform landscape-scale restoration projects. To be effective, such models must balance model realism with computational tractability and must represent the different habitat and connectivity requirements of multiple species. Objectives We explored the extent to which process-based modelling might fulfil this role, examining feasibility for different taxa and potential for informing real-world decision-making. Methods We developed a family of process-based models (*4pop) that simulate landscape use by birds, bats, reptiles and amphibians, derived from the well-established poll4pop model (designed to simulate bee populations). Given landcover data, the models predict spatially-explicit relative abundance by simulating optimal home-range foraging, reproduction, dispersal of offspring and mortality. The models were co-developed by researchers, conservation NGOs and volunteer surveyors, parameterised using literature data and expert opinion, and validated against observational datasets collected across Great Britain. Results The models were able to simulate habitat specialists, generalists, and species requiring access to multiple habitats for different types of resources (e.g. breeding vs foraging). We identified model refinements required for some taxa and considerations for modelling further species/groups. Conclusions We suggest process-based models that integrate multiple forms of knowledge can assist biodiversity-inclusive decision-making by predicting habitat use throughout the year, expanding the range of species that can be modelled, and enabling decision-makers to better account for landscape context and habitat configuration effects on population persistence.</p