Standardised methods for collaborative long-term monitoring and management of cetaceans in Wales

Monitoring long terms trends of species abundance is a fundamental requirement for effective conservation. Surveying wildlife creates a baseline to measure changes in the population and to detect and manage specific abiotic and biotic threats. However, long term monitoring is not always effective or achievable because of insufficient finances, resources, planning or limited project focus. Establishing a collaborative network of scientists to bring together similar research may provide the solution as seen with networks on seagrass, aquatic macrophytes and avian populations. Frequently there are many organisations working in isolation using multiple approaches on similar species. This case study specifically investigates the social barriers leading to a lack of collaborative efforts in cetacean monitoring in Wales where there are four organisations independently undertaking systematic long-term monitoring. Here, I produce, trial and analyse a simple low-cost standardised methodology that could be used for long-term monitoring by multiple organisations and review the potential of a collaborative acoustics project to enable simple comparisons of encounter rates for cetaceans Wales-wide. An online questionnaire to stakeholders revealed that primary barriers to collaborative research were personality differences and funding competition; participants indicated that the re-establishment of a marine mammal working group by Natural Resources Wales would enable development of personal relationships and fair access to resources. Similar working groups have been established in terrestrial and aquatic ecology which have attempted to overcome the challenges in effective long-term monitoring. It is anticipated that this research could be duplicated to other species to assess any barriers and solutions to collaborative working and establish more cohesive long-term monitoring strategies in ecology

From faeces to ecology and behaviour: non-invasive microsatellite genotyping as a means to study wild otters (lutra lutra)

The threatened Eurasian otter (Lutra lutra) is of high conservation concern because of its earlier massive decline and range contractions, its important role as a top predator in its ecosystem, and because of its current increase and expansion in Germany that evokes conflicts with humans living on aquaculture. To understand the population dynamic and hence the current spread and to be able to manage it, we require knowledge that is either unavailable, not well understood, or has to be checked whether it also applies to fish pond systems, the main otter habitat in the Upper Lusatia that is the main source population for the recent expansion in Saxony, Germany. For this purpose, I used non-invasive genetic CMR methods to gain information about actual population sizes, population dynamic parameters, marking behaviour, and spatial use of one source population in Eastern Germany. To make this method more efficient, especially for otter scats, I first optimised the required genetic methods to receive high success rates and low genotyping errors rates (Chapter two). Following this, I applied non-invasive genetic CMR to the first sampling year (2006) to demonstrate pitfalls and risks of this method and present a road map in which I offer solutions for the outlined problems (Chapter three). This road map is not only valid for otters, but is written as a general guideline when using non-invasively collected samples with low quality. Finally, I used this road map to obtain reliable estimates and information on population size, sex ratio, and marking behaviour (Chapter four), as well as survival, temporary migration, dispersal, and spatial use (Chapter five) over six sampling years (2006–2012). Chapter six completes the thesis by first giving an overview of the conducted research, followed by a synthesis of the four key findings and a discussion about limitations and methodological constraints. The chapter closes with suggestions for further research and for otter conservation

Using spatial explicit capture-recapture model to investigate the demography and spatial dynamics of lion prides in Pilanesberg National Park

Lions are apex predators that play a vital role in the ecosystem. They regulate prey species through predation and other non-consumptive means. Factors that have influenced the decline of lion populations across Africa in the last half century, are loss of habitat, human wildlife conflict and the depletion of prey species. Extensive reintroductions of lions have been conducted across South Africa in order to restore their numbers in protected areas. The Pilanesberg National Park (PNP) was one of many protected areas that reintroduced lions. Their numbers were well documented by management until 2005 where they lost track of the population numbers. During this unfortunate period, there was an observed decline in prey numbers. The aim of this dissertation was to estimate the abundance, movement, and sex ratio of lions, in PNP. Abundance, movement, and sex ratio were determined by a three-month intensive lion survey. The location of each lion encounter was recorded on a mobile device which had an application installed called Cybertracker (v3). Photographs were taken of each Lion to build identification kits. For the data analysis, I used the Bayesian spatial explicit capture-recapture (SECR) model. This model takes time, space, and the robustness of an individual lion into account. Robustness is the measure of how well a lion maintains their functionality, when various stressors are applied (Harmsen, Foster, & Quigley, 2020). The estimated lion population in PNP was 44 lions (>1 year) with a density of 8.8 lions per 100 km2 . The estimated mean home range size of male lions was 279 km2 with a highest probability density (HPD) range of 179 – 385 km2 . The estimated mean home range of female lions was 191 km2 with a HPD range of 135 – 262 km2 . The larger home range size for male lions and smaller home range size for females is found v throughout the African continent in protected areas. The estimated sex ratio was 0.9♀:1♂, which is unexpected as PNP sex ratios between male and female lions is usually 2♀:1♂. A future sampling design for PNP was produced from the completed lion survey dataset. I drove a total of 7350 km and evaluated the influence of varied sampling efforts (i.e., kms driven) on precision estimates and relative bias for abundance, movement, and sex ratio. I found that a minimum of 4 000 km was needed to adequately estimate the lion abundance, movement, and sex ratio in this small fenced protected area. These findings can be used to help guide management to the most cost-effective sampling method and still obtain accurate estimates for monitoring lions. By showing management what is required for appropriate lion surveys this might help improve future monitoring.Thesis (MSc) -- Faculty of Science, School of Natural Resource Management, 202

Deliverable 1.1 review document on the management of marine areas with particular regard on concepts, objectives, frameworks and tools to implement, monitor, and evaluate spatially managed areas

The main objectives if this document were to review the existing information on spatial management of marine areas, identifying the relevant policy objectives, to identify parameters linked to the success or failure of the various Spatially Managed marine Areas (SMAs) regimes, to report on methods and tools used in monitoring and evaluation of the state of SMAs, and to identify gaps and weaknesses in the existing frameworks in relation to the implementation, monitoring, evaluation and management of SMAs. The document is naturally divided in two sections: Section 1 reviews the concepts, objectives, drivers, policy and management framework, and extraneous factors related to the design, implementation and evaluation of SMAs; Section 2 reviews the tools and methods to monitor and evaluate seabed habitats and marine populations.peer-reviewe

Noninvasive Technologies for Primate Conservation in the 21st Century

Observing and quantifying primate behavior in the wild is challenging. Human presence affects primate behavior and habituation of new, especially terrestrial, individuals is a time-intensive process that carries with it ethical and health concerns, especially during the recent pandemic when primates are at even greater risk than usual. As a result, wildlife researchers, including primatologists, have increasingly turned to new technologies to answer questions and provide important data related to primate conservation. Tools and methods should be chosen carefully to maximize and improve the data that will be used to answer the research questions. We review here the role of four indirect methods—camera traps, acoustic monitoring, drones, and portable field labs—and improvements in machine learning that offer rapid, reliable means of combing through large datasets that these methods generate. We describe key applications and limitations of each tool in primate conservation, and where we anticipate primate conservation technology moving forward in the coming years

Proceedings of the Twenty-Third Annual Software Engineering Workshop

The Twenty-third Annual Software Engineering Workshop (SEW) provided 20 presentations designed to further the goals of the Software Engineering Laboratory (SEL) of the NASA-GSFC. The presentations were selected on their creativity. The sessions which were held on 2-3 of December 1998, centered on the SEL, Experimentation, Inspections, Fault Prediction, Verification and Validation, and Embedded Systems and Safety-Critical Systems