In the period 2015-2017, the Western Cape region has suffered from three consecutive years of below average rainfall-leading to a prolonged drought and acute water shortages, most prominently in the city of Cape Town. After testing that the precipitation deficit is the primary driver behind the reduced surface water availability, we undertake a multi-method attribution analysis for the meteorological drought, defined in terms of a deficit in the 3 years running mean precipitation averaged over the Western Cape area. The exact estimate of the return time of the event is sensitive to the number of stations whose data is incorporated in the analysis but the rarity of the event is unquestionable, with a return time of more than a hundred years. Synthesising the results from five different large model ensembles as well as observed data gives a significant increase by a factor of three (95% confidence interval 1.5-6) of such a drought to occur because of anthropogenic climate change. All the model results further suggest that this trend will continue with future global warming. These results are in line with physical understanding of the effect of climate change at these latitudes and highlights that measures to improve Cape Town's resilience to future droughts are an adaptation priority.

Transdisciplinary research that bridges science and society is needed to address the complex social-ecological sustainability challenges we are facing. However, many transdisciplinary researchers grapple with balancing the competing demands of scientific rigour and excellence, societal impact and engagement, and self-care. This is especially evident in the growing literature by early-career researchers describing the challenges of pursuing a transdisciplinary research career in social-ecological sustainability research. To guide discussion and reflection towards a flourishing transdisciplinary research practice, we synthesized our own and other researchers' experiences of using a transdisciplinary approach and formulated the heuristic of the 'Triple-S': caring for Science, Society and Self. This heuristic adds the frequently overlooked personal aspects of transdisciplinary research. Current dominant academic structures, cultures and metrics of success are not supporting a balanced and flourishing transdisciplinary research practice, but rather creating and exacerbating the tradeoffs between these three aspects. As an example of a solutions-oriented approach, we developed a theory of change to address the changes we see are necessary to enable a transdisciplinary research practice in line with the Triple-S. We hope that this will foster academic environments where transdisciplinary research practice can flourish and the next generation of researchers are not burnt-out, but empowered.

Climate change adds an additional layer of complexity to existing sustainable development and biodiversity conservation challenges. The impacts of global climate change are felt locally, and thus local governance structures will increasingly be responsible for preparedness and local responses. Ecosystem-based adaptation (EbA) options are gaining prominence as relevant climate change solutions. Local government officials seldom have an appropriate understanding of the role of ecosystem functioning in sustainable development goals, or access to relevant climate information. Thus the use of ecosystems in helping people adapt to climate change is limited partially by the lack of information on where ecosystems have the highest potential to do so. To begin overcoming this barrier, Conservation South Africa in partnership with local government developed a socio-ecological approach for identifying spatial EbA priorities at the sub-national level. Using GIS-based multi-criteria analysis and vegetation distribution models, the authors have spatially integrated relevant ecological and social information at a scale appropriate to inform local level political, administrative, and operational decision makers. This is the first systematic approach of which we are aware that highlights spatial priority areas for EbA implementation. Nodes of socio-ecological vulnerability are identified, and the inclusion of areas that provide ecosystem services and ecological resilience to future climate change is innovative. The purpose of this paper is to present and demonstrate a methodology for combining complex information into user-friendly spatial products for local level decision making on EbA. The authors focus on illustrating the kinds of products that can be generated from combining information in the suggested ways, and do not discuss the nuance of climate models nor present specific technical details of the model outputs here. Two representative case studies from rural South Africa demonstrate the replicability of this approach in rural and peri-urban areas of other developing and least developed countries around the world.