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1. Engaging Youth Environmental Alliance in Higher Education to Achieve the Sustainable Development Goals

   Whipple, S. (September 2021, Scholarship and practice of undergraduate research)

   null (Ed.)

   The authors present a new approach to show how interdisciplinary collaborations among a group of institutions can provide a unique opportunity for students to engage across the science-policy nexus using the framework of the Sustainable Development Goals and the United Nations Framework Convention on Climate Change. Through collaboration across seven higher education institutions in the United States and Australia, virtual student research teams worked together across disciplines such as economics, ecology, and other earth and social sciences to address research questions centered on sustainable development goals. The teams presented their findings in person to diplomats and delegates at the 2019 United Nations Conference of the Parties meeting in Madrid, which also had strong qualitative impacts on their perceptions of international science-policy interfaces. 

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2. Scikit-downscale: an open source Python package for scalable climate downscaling

   https://doi.org/10.1002/essoar.10507604.1  

   Hamman, Joseph; Kent, Julia (June 2020, 2020 EarthCube Annual Meeting)

   null (Ed.)

   Climate data from Earth System Models are increasingly being used to study the impacts of climate change on a broad range of biogeophysical (forest fires, fisheries, etc.) and human systems (reservoir operations, urban heat waves, etc.). Before this data can be used to study many of these systems, post-processing steps commonly referred to as bias correction and statistical downscaling must be performed. “Bias correction” is used to correct persistent biases in climate model output and “statistical downscaling” is used to increase the spatiotemporal resolution of the model output (i.e. 1 deg to 1/16th deg grid boxes). For our purposes, we’ll refer to both parts as “downscaling”. In the past few decades, the applications community has developed a plethora of downscaling methods. Many of these methods are ad-hoc collections of post processing routines while others target very specific applications. The proliferation of downscaling methods has left the climate applications community with an overwhelming body of research to sort through without much in the form of synthesis guiding method selection or applicability. Motivated by the pressing socio-environmental challenges of climate change – and with the learnings from previous downscaling efforts in mind – we have begun working on a community-centered open framework for climate downscaling: scikit-downscale. We believe that the community will benefit from the presence of a well-designed open source downscaling toolbox with standard interfaces alongside a repository of benchmark data to test and evaluate new and existing downscaling methods. In this notebook, we provide an overview of the scikit-downscale project, detailing how it can be used to downscale a range of surface climate variables such as air temperature and precipitation. We also highlight how scikit-downscale framework is being used to compare existing methods and how it can be extended to support the development of new downscaling methods. 

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3. A transformative shift in urban ecology toward a more active and relevant future for the field and for cities

   https://doi.org/10.1007/s13280-024-01992-y  

   Frantzeskaki, Niki; Childers, Daniel L; Pickett, Steward; Hoover, Fushcia-Ann; Anderson, Pippin; Barau, Aliyu; Ginsberg, Joshua; Grove, Morgan; Lodder, Marleen; Lugo, Ariel E; et al (June 2024, Ambio)

   This paper builds on the expansion of urban ecology from a biologically based discipline—ecologyinthe city—to an increasingly interdisciplinary field—ecologyofthe city—to a transdisciplinary, knowledge to action endeavor—an ecologyforandwiththe city. We build on this “prepositional journey” by proposing a transformative shift in urban ecology, and we present a framework for how the field may continue this shift. We conceptualize that urban ecology is in a state of flux, and that this shift is needed to transform urban ecology into a more engaged and action based field, and one that includes a diversity of actors willing to participate in the future of their cities. In this transformative shift, these actors will engage, collaborate, and participate in a continuous spiral of knowledge → action → knowledge spiral and back to knowledge loop, with the goal of co producing sustainable and resilient solutions to myriad urban challenges. Our framework for this transformative shift includes three pathways: (1) a repeating knowledge → action → knowledge spiral of ideas, information, and solutions produced by a diverse community of agents of urban change working together in an “urban sandbox”; (2) incorporation of a social–ecological–technological systems framework in this spiral and expanding the spiral temporally to include the “deep future,” where future scenarios are based on a visioning of seemingly unimaginable or plausible future states of cities that are sustainable and resilient; and (3) the expansion of the spiral in space, to include rural areas and places that are not yet cities. The three interrelated pathways that define the transformative shift demonstrate the power of an urban ecology that has moved beyond urban systems science and into a realm where collaborations among diverse knowledges and voices are working together to understand cities and what is urban while producing sustainable solutions to contemporary challenges and envisioning futures of socially, ecologically, and technologically resilient cities. We present case study examples of each of the three pathways that make up this transformative shift in urban ecology and discuss both limitations and opportunities for future research and action with this transdisciplinary broadening of the field. 

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4. Loss and damage from climate change and implicit assumptions of sustainable development

   https://doi.org/10.1007/s10584-021-02970-z  

   Boda, Chad S.; Faran, Turaj; Scown, Murray; Dorkenoo, Kelly; Chaffin, Brian C.; Nastar, Maryam; Boyd, Emily (January 2021, Climatic Change)

   null (Ed.)

   Abstract Loss and damage from climate change, recognized as a unique research and policy domain through the Warsaw International Mechanism (WIM) in 2013, has drawn increasing attention among climate scientists and policy makers. Labelled by some as the “third pillar” of the international climate regime—along with mitigation and adaptation—it has been suggested that loss and damage has the potential to catalyze important synergies with other international agendas, particularly sustainable development. However, the specific approaches to sustainable development that inform loss and damage research and how these approaches influence research outcomes and policy recommendations remain largely unexplored. We offer a systematic analysis of the assumptions of sustainable development that underpins loss and damage scholarship through a comprehensive review of peer-reviewed research on loss and damage. We demonstrate that the use of specific metrics, decision criteria, and policy prescriptions by loss and damage researchers and practitioners implies an unwitting adherence to different underlying theories of sustainable development, which in turn impact how loss and damage is conceptualized and applied. In addition to research and policy implications, our review suggests that assumptions about the aims of sustainable development determine how loss and damage is conceptualized, measured, and governed, and the human development approach currently represents the most advanced perspective on sustainable development and thus loss and damage. This review supports sustainable development as a coherent, comprehensive, and integrative framework for guiding further conceptual and empirical development of loss and damage scholarship. 

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5. Reimagining Earth in the Earth System

   https://doi.org/10.1029/2023MS004017  

   Bonan, Gordon B; Lucier, Oliver; Coen, Deborah R; Foster, Adrianna C; Shuman, Jacquelyn K; Laguë, Marysa M; Swann, Abigail_L S; Lombardozzi, Danica L; Wieder, William R; Dahlin, Kyla M; et al (August 2024, Journal of Advances in Modeling Earth Systems)

   Abstract Terrestrial, aquatic, and marine ecosystems regulate climate at local to global scales through exchanges of energy and matter with the atmosphere and assist with climate change mitigation through nature‐based climate solutions. Climate science is no longer a study of the physics of the atmosphere and oceans, but also the ecology of the biosphere. This is the promise of Earth system science: to transcend academic disciplines to enable study of the interacting physics, chemistry, and biology of the planet. However, long‐standing tension in protecting, restoring, and managing forest ecosystems to purposely improve climate evidences the difficulties of interdisciplinary science. For four centuries, forest management for climate betterment was argued, legislated, and ultimately dismissed, when nineteenth century atmospheric scientists narrowly defined climate science to the exclusion of ecology. Today's Earth system science, with its roots in global models of climate, unfolds in similar ways to the past. With Earth system models, geoscientists are again defining the ecology of the Earth system. Here we reframe Earth system science so that the biosphere and its ecology are equally integrated with the fluid Earth to enable Earth system prediction for planetary stewardship. Central to this is the need to overcome an intellectual heritage to the models that elevates geoscience and marginalizes ecology and local land knowledge. The call for kilometer‐scale atmospheric and ocean models, without concomitant scientific and computational investment in the land and biosphere, perpetuates the geophysical view of Earth and will not fully provide the comprehensive actionable information needed for a changing climate. 

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