scholarly journals Marae-opoly: supporting localised Māori climate adaptation decisions with serious games in Aotearoa New Zealand

Author(s):  
Paula Blackett ◽  
Stephen FitzHerbert ◽  
Jordan Luttrell ◽  
Tania Hopmans ◽  
Hayley Lawrence ◽  
...  

AbstractFar from being passive and/or static victims of climate change, indigenous peoples are hybridizing knowledge systems, and challenging and negotiating new environmental and social realities to develop their own adaptation options within their own registers of what is place and culture appropriate. Our paper seeks to demonstrate how we, as guests on Māori land, were able to develop a partnership with a Māori community facing difficult adaptation decisions regarding climate change hazards through the pragmatic navigation of multi-disciplinary research and practice. In particular, we co-developed and tested the potential of a serious game (Marae-opoly) approach as a platform which assembles cross-cultural climate change knowledge to learn, safely experiment and inform adaptation decisions. Marae-opoly was developed bespoke to its intended context—to support the creation of mutually agreeable dynamic adaptive policy pathways (DAPP) for localized flood adaptation. Game material was generated by drawing together detailed local knowledge (i.e. hydrology, climate data, mātauranga hapū) and situated adaptation options and accurate contextual data to create a credible gaming experience for the hapū of Tangoio Marae. We argue that the in-situ co-development process used to co-create Marae-opoly was fundamental in its success in achieving outcomes for the hapū. It also provided important lessons for the research team regarding how to enter as respectful guests and work together effectively to provide a resource to support our partners' adaptation decisions. The paper discusses the steps taken to establish research partnerships and develop the serious game and its subsequent playing, albeit we do not evaluate our indigenous research partners' adaptation decisions. Our contribution with this paper is in sharing an approach which cultivated the ground to enter as respectful guests and work together effectively to provide a resource for our partners' adaptation decisions.

2009 ◽  
Vol 95 (1-2) ◽  
pp. 23-45 ◽  
Author(s):  
K. de Bruin ◽  
R. B. Dellink ◽  
A. Ruijs ◽  
L. Bolwidt ◽  
A. van Buuren ◽  
...  

2020 ◽  
Vol 9 (11) ◽  
pp. 644
Author(s):  
Alexei Goudine ◽  
Robert Newell ◽  
Christopher Bone

Climate change has resulted in the need for adaptation tools to provide stakeholders with the ability to respond to a broad range of potential impacts. Geovisualizations serve as powerful engagement tools due to their capacity in communicating complex climate data to various audiences. Studies have also shown a preference towards conveying climate data through geo-visual representations, to quickly present ideas rooted in geographical challenges and solutions. However, a rapid pace of technological advancements has paved the way for an abundance of geovisualization products that have eclipsed the necessary theoretical inquiry and knowledge required to establish effective visualization principles. This study addresses this research gap through a two-step process of (1) conducting a thorough review of the geovisualization for climate change literature, and (2) creating a conceptual framework that classifies existing geovisualization products into themes relating to visualization features, audiences, and the intended outcome or purpose of the visualization medium. The result is the Climate Visualizations for Adaptation Products (CVAP) framework, a tool for researchers and practitioners to use as a decision support system to discern an appropriate type of geovisualization product to implement within a specific use case or audience. Visualizations with more interactivity were favoured among expert user groups, to act as tools for knowledge discovery. This is contrary to the visualizations intended for communicating a known message to a user group, as those products often had a low level of interactivity associated with their use.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Amanda Oliver

Purpose This study aims to identify Canadian archives that are at risk for climate change threats, to present a snapshot of current practices around disaster planning, sustainability and climate adaptation and to provide recommended next steps for records managers and archivists adapting to climate change. Design/methodology/approach These objectives were achieved by analyzing the geographic locations of Canadian archives in relation to projected climate data and by analyzing the results of a survey distributed to staff at Canadian archival repositories. Findings This study found that all Canadian archives will be impacted by projected changes in both annual mean temperatures and precipitation to the year 2080. Themes that emerged surrounding climate adaptation strategies include the investment in the design and efficiency of spaces housing records and the importance of resilient buildings, the need for increased training on climate change, engaging senior leadership and administrators on climate change and developing regional strategies. Preparing for and mitigating the impact of climate change on the facilities and holdings needs to become a priority. Originality/value This research underscores the importance of developing climate adaptation strategies, considering the sustainability of records management and archival professional practice, increasing the resilience of the facilities and records and strengthening the disaster planning and recovery methods.


2021 ◽  
Author(s):  
Hans-Martin Füssel ◽  
Samuel Almond

<p>The Copernicus Climate Change Service’s (C3S) Climate Data Store (CDS) contains a wealth of information about the Earth's recent past, present and future climate. The CDS catalogue contains both general climate datasets, such as climate observations, seasonal forecasts, global and regional reanalyses and global and regional climate projections datasets, and in addition derived Climate Impact Indices<em> </em>(CII). CIIs are processed data which was developed to respond to specific sectoral needs. Most CII datasets were developed as part of the C3S Sectoral Information System (SIS) activities, which develops user-oriented products for various climate-sensitive sectors (e.g., water management, energy, biodiversity, human health and tourism).</p><p>The European Climate Data Explorer (ECDE) is a new web portal providing interactive access to selected climate variables and indices included in the CDS. It is hosted on the European Climate Adaptation Platform (Climate-ADAPT), a publicly accessible web portal managed by the European Environment Agency (EEA) in collaboration with the European Commission. The ECDE aims to facilitate access to a wide range of data on observed and projected climate change in Europe. Such data are relevant, among others, for developing and implementing national and subnational climate adaptation strategies and plans, including sectoral strategies.</p><p>The variables and indices currently included in the ECDE reflect user needs expressed through an EEA-led stakeholder consultation as well as data availability from C3S-led SIS contracts. The interactive access allows users to zoom in on maps in order to focus on regions of interest, show time series for specific countries and subnational regions (to NUTS level 3), and export images and data. The ECDE will be expanded further in response to user needs and increasing data availability in the CDS. This expansion will include additional sectoral indices as well as new data sources (e.g. from CMIP6).</p><p>The ECDE is complemented by the online EEA Report <em>Changing climate hazards in Europe</em> and a Technical Paper. These products provide further information on the underlying indices and datasets. The report also presents past and projected trends for key climate hazards across Europe.</p><p>The ECDE lowers the technical hurdles that limit access to CDS data for a large part of EEA’s target audience. Doing so, the ECDE supports the European Green Deal, including the new EU Strategy on Adaptation to Climate Change, and the EU Mission on Adaptation to climate change including societal transformation.</p>


2021 ◽  
Vol 14 (1) ◽  
pp. 351-363
Author(s):  
David N. Bresch ◽  
Gabriela Aznar-Siguan

Abstract. Climate change is a fact; therefore, adaptation to a changing environment is a necessity. Adaptation is ultimately local, yet similar challenges pose themselves to decision-makers all across the globe and on all levels. The Economics of Climate Adaptation (ECA) methodology has established an economic framework to fully integrate risk and reward perspectives of different stakeholders, underpinned by the CLIMADA (CLIMateADAptation) impact modeling platform. We present an extension of the latter to appraise adaption options in a consistent fashion in order to provide decision-makers from the local to the global level with the necessary facts to identify the most effective instruments to meet the adaptation challenge. We apply the open-source Python implementation to a tropical cyclone impact case study in the Caribbean, using openly available data. This allows us to prioritize a small basket of adaptation options, namely green and gray infrastructure options as well as behavioral measures and risk transfer, and permits inter-island comparisons. In Anguilla, for example, mangroves avert simulated damages more than 4 times the cost estimated for mangrove restoration, whereas the enforcement of building codes is shown to be effective in the Turks and Caicos Islands in a moderate-climate-change scenario. For all islands, cost-effective measures reduce the cost of risk transfer, which covers the damage of high-impact events that cannot be cost-effectively prevented by other measures. This extended version of the CLIMADA platform has been designed to enable risk assessment and options appraisal in a modular form and occasionally bespoke fashion yet with the high reusability of common functionalities to foster the usage of the platform in interdisciplinary studies and international collaboration.


2020 ◽  
Author(s):  
Frida Gyllensvärd ◽  
Christiana Photiadou ◽  
Berit Arheimer ◽  
Lorna Little ◽  
Elin Sjökvist ◽  
...  

<p>The World Meteorological Organization (WMO), the Green Climate Fund (GCF) and the Swedish Meteorological and Hydrological Institute (SMHI) are collaborating on a project providing expert services for enhancing the climate science basis of GCF-funded activities. The goal is to ensure that the causal links between climate and climate impacts, and between climate action and societal benefits, are fully grounded in the best available climate data and science.  Five pilot countries are participating in this phase of the project: St Lucia, Democratic Republic of Congo, Cape Verde, Cambodia, and Paraguay, with an audience of national experts, international stakeholders, and policy and decision makers.</p><p>The scientific framework which we follow here is a compendium of available data, methods and tools for analysing and documenting the past, present and potential future climate conditions which a GCF-funded project or adaptation plan might seek to address. Through the WMO-GCF-SMHI project, the methodology, scientific framework, data, methods and tools to link global to local data are complemented by hands-on support, backed by access to relevant data and tools through a structured access platform.</p><p>In this presentation we elaborate on the lessons learnt from a number of workshops that were designed for the five pilot countries. The main focus of the workshops was a hands-on opportunity of national experts and international stakeholders to work with the WMO methodology in order to develop a GCF proposal for future funding. The participants in each country worked intensively during a five-day workshop on each step of the methodology: Problem definition, Identification of climate science basis, Interpretation of data analysis, selection of best adaptation/mitigation options, and assessment of adaptation/mitigation effectiveness.</p><p>Assessing past and current climate and climate projections is the basis for inferring real and potential climate change and related impacts. For this, SMHI has developed a new interactive online platform/service (https://climateinformation.org/) to facilitate the communication between the GCF and developing countries and provide access to state of the art climate data to be used in impact assessment planning. The new service provides data for robust climate analysis to underpin decision-making when planning measures for climate adaptation or mitigation. Readily available climate indicators will help defining future problems, assess climatic stressors, and analyse current and future risks. This makes a climate case, which is the basis for developing interventions and propose investments. In particular the service provides:</p><ul><li>Easy access to many climate indicators, based on state-of-the-art climate science.</li> <li>Instant summary reports of climate change for any site on the globe.</li> <li>Guidance on how to link global changes to local observations.</li> </ul>


2018 ◽  
Vol 10 (9) ◽  
pp. 3288 ◽  
Author(s):  
Qifei Han ◽  
Geping Luo ◽  
Chaofan Li ◽  
Shoubo Li

The effect of climate change on the spatio-temporal patterns of the terrestrial carbon dynamics in Central Asia have not been adequately quantified despite its potential importance to the global carbon cycle. Therefore, the modified BioGeochemical Cycles (Biome-BGC) model was applied in this study to evaluate the impacts of climatic change on net primary productivity (NPP) and net ecosystem productivity. Four vegetation types were studied during the period 1979 to 2011: cropland, grassland, forest, and shrubland. The results indicated that: (1) The climate data showed that Central Asia experienced a rise in annual mean temperature and a decline in precipitation from 1979 to 2011; (2) the mean NPP for Central Asia in 1979–2011 was 281.79 gC m−2 yr−1, and the cropland had the highest NPP compared with the other vegetation types, with a value of 646.25 gC m−2 yr−1; (3) grassland presented as a carbon source (−0.21 gC m−2 yr−1), whereas the other three types were carbon sinks; (4) the four vegetation types showed similar responses to climate variation during the past 30 years, and grassland is the most sensitive ecosystem in Central Asia. This study explored the possible implications for climate adaptation and mitigation.


2021 ◽  
Author(s):  
Katherine Carbeck ◽  
Tongli Wang ◽  
Jane Reid ◽  
Peter Arcese

Predicting the geographic range of species and their response to variation in climate are entwined goals in conservation and evolutionary ecology. Species distribution models (SDMs) are foundational in this effort and used to visualize the geographic range of species as the spatial representation of its realized niche, or when based only on climate, its climate niche. SDMs can also forecast shifts in species range given climate change, but often lack of empirical support for causal links between climate and demography, yielding uncertain predictions. We addressed such uncertainties whilst also exploring the role of migration and resident life-histories in climate adaptation in mobile animals using 48 years of detailed demographic and climate data for song sparrows (Melospiza melodia), a polytypic species that varies in migratory life history. We developed SDMs representing demographic and climate niches of migratory and resident populations in western North America from California (CA) to Alaska (AK) using data from a focal population in British Columbia (BC) and 1.2 million citizen science observations. Distributions of resident and migrant populations predicted by each model agreed strongly (72.8%) in the region of our focal population, but less well in regions with dissimilar climates. Mismatches were largest in CA, smaller in AK, but in all cases supported the hypothesis that climate influences the evolution of migration and limits year-round residency. Our results imply that migrants predominated in our focal population a century ago, but that climate change has favored range expansions by non-migratory phenotypes and facilitated an upward shift in the elevational range of residents. We suggest long-term studies are crucial to evaluating the predictions of SDMs positing causal links between climatic conditions and species demography. We found such links to be robust regionally and particularly useful to elucidating the potential for migration or residence to facilitate adaptation to climate change.


2019 ◽  
Vol 11 (7) ◽  
pp. 1921 ◽  
Author(s):  
Bate Bate ◽  
Jude Kimengsi ◽  
Sani Amawa

The issue of climate change and its related impacts is now a social reality. The paradigm shift today in climate change issues is focused on mitigation and adaptation. Besides mitigation, adaptation is considered as an essential strategy for reducing the severity and cost of climate change impacts given the fact that additional future climate change is considered as being inevitable. In this paper, we analyze household socio-economic determinants of climate change adaptation and their policy implications. A survey of 130 farmers in four farm communities in Cameroon was conducted to capture the determinants of farmers’ adaptation to climate change. We employed the binary Logistic regression model to assess the determinants of climate adaptation. Results reveal that in the midst of climate change, 78.33% of farmers have adopted rainfall-related adaptation while 63.33% have resorted to temperature-related adaptation. Based on the binary logistic regression, access to road, access to non-farm income source, and membership of farmers’ groups were significant determinants for the adoption of temperature-related adaptation options. Furthermore, access to improved seeds was found to be the lone significant determinant for the adoption of rainfall-related adaptation options. All in all, much is required to strengthen farmers’ adaptive capacity and increase the range of adaptation options undertaken. As such, policies geared towards building farmers’ resilience should effectively capture the following tri-factors: provision of access roads linking farm communities to nearby urban centres, upscaling institutional interventions with regards to providing high quality and resistant seeds to farmers, and incentivizing farmers to create or join social groups in order to facilitate adaptation uptake.


2016 ◽  
Vol 13 ◽  
pp. 97-105 ◽  
Author(s):  
Rafael Posada ◽  
Domingos Nascimento ◽  
Francisco Osvaldo S. Neto ◽  
Jens Riede ◽  
Frank Kaspar

Abstract. The knowledge on climate variability in parts of Southern Africa is limited because of the low availability of historic and present-day ground-based observations (Niang et al., 2014). However, there is an increased need of climate information for research, climate adaptation measures and climate services. To respond to the challenges of climate change and related issues, Angola, Botswana, Germany, Namibia, South Africa and Zambia have initiated the interdisciplinary regional competence centre SASSCAL, the "Southern African Science Service Centre for Climate Change and Adaptive Land Management". As part of the initiative, Germany's national meteorological service (Deutscher Wetterdienst, DWD) cooperates with the meteorological services of Angola, Botswana and Zambia in order to improve the management and availability of historical and present-day climate data in these countries. The first results of the cooperation between the German and the Angolan Meteorological Services are presented here. International assessments have shown that improvements of the data management concepts are needed in several countries. The experience of this cooperation can therefore provide hints for comparable activities in other regions.


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