Assessing the ‘usability’ of climate change research for decision-making: A case study of the Canadian International Polar Year

The creation of ‘usable science’ is widely promoted by many environmental change focused research programs. Few studies however, have examined the relationship between research conducted as part of such programs and the decision-making outcomes that the work is supposed to advance, and is constrained by limited methodological development on how to empirically assess the ‘usability’ of science. Herein, this paper develops a conceptual model and assessment rubric to quantitatively and systematically evaluate the usability of climate change research for informing decision-making. We focus on the process through which data is collected, analyzed and reported and examine the extent to which key principles of usable science are integrated into project design, using grant proposals as our data source. The approach is applied to analyze climate change research conducted as part of the International Polar Year in Canada, with 23 projects identified as having explicit goals to inform decision-making.While the creation of usable science was promoted by funded projects in the International Polar Year, this was not generally reflected in research design: fewer than half determined objectives with input of decision makers, decision context was not widely considered, and knowledge users were not widely reported to be engaged in assessing the quality of data or in resolving conflict in evidence. The importance of science communication was widely emphasized, although only 8/23 projects discussed tailoring specific results for end user needs. Thus while International Polar Year research has made significant advances in understanding the human dimensions of Arctic climate change, key attributes necessary for determining success in linking science to decision-making (pertinence, quality, timeliness) were not captured by many projects. Integrating these attributes into research design from the outset is essential for creating usable science, and needs to be at the forefront of future research programs which aim to advance societal outcomes. The framework for assessing usability here, while developed and tested in an Arctic climate change context, has broader applicability in the general environmental change field.     

适应气候变化政策机制的国际经验与启示

中国高度重视适应气候变化工作,实行减缓与适应并重的应对气候变化原则,已出台适应气候变化相关的战略、规划等一系列政策文件。但总体来看,中国适应气候变化政策与行动尚处于起步阶段,面临着法规制度缺位、监测评估不足、组织协调机制不完善等挑战,适应气候变化政策的类型、数量和力度都明显弱于减缓。为完善中国适应气候变化政策与机制的框架设计,文中梳理了相关研究、《联合国气候变化框架公约》下的适应气候变化国际机制及主要国家经验,提出了一套完整闭环的适应气候变化核心决策流程及关键支撑机制,并重点从开展法制建设、制定适应战略（计划）、建立监测评估机制、构建协调机制和完善资金机制等五方面,归纳了主要国家的经验与启示,最终研究提出完善我国适应气候变化政策与机制框架设计的建议,包括加快建立和完善适应气候变化法制建设、加快构建国家适应气候变化的政策体系、加快完善国家适应气候变化的机制设计、加强适应气候变化支撑能力建设、推动适应气候变化的国际合作等。     

Multi-variable error correction of regional climate models

Climate change impact research needs regional climate scenarios of multiple meteorological variables. Those variables are available from regional climate models (RCMs), but affected by considerable biases. We evaluate the application of an empirical-statistical error correction method, quantile mapping (QM), for a small ensemble of RCMs and six meteorological variables. Annual and monthly biases are reduced to close to zero by QM for all variables in most cases. Exceptions are found, if non-stationarity of the model’s error characteristics occur. Even in the worst cases of non-stationarity, QM clearly improves the biases of raw RCMs. In addition, QM successfully adjusts the distributions of the analysed variables. To approach the question whether time series and inter-variable relationships are still plausible after correction, we evaluate the root-mean-square error (RMSE), autocorrelation and inter-variable correlation. We found improvement or no clear effect in RMSE and autocorrelation, and no clear effect on the correlation between meteorological variables. These results demonstrate that QM retains the quality of the temporal structure in time series and the inter-variable dependencies of RCMs. It has to be emphasised that this cannot be interpreted as an improvement and that deficiencies of the RCMs in those features are retained as well. Our results give some indication for the performance of QM applied to future scenarios, since our evaluation relies on independent calibration and evaluation periods, which are affected by climate variability and change. The effect of non-stationarity, however, can be expected to be larger in far future. We demonstrate the retainment of the RCM’s temporal structure and inter-variable dependencies, and large improvements in biases. This qualifies QM as a valuable, though not perfect, method in the interface between climate models and climate change impact research. Nonetheless, in case of no correlation between re-analysis driven RCM and observation, one should consider that QM does not correct this correlation.     

Perceptions of climate change: Linking local and global perceptions through a cultural knowledge approach

Understanding public perceptions of climate change is fundamental to both climate science and policy because it defines local and global socio-political contexts within which policy makers and scientists operate. To date, most studies addressing climate change perceptions have been place-based. While such research is informative, comparative studies across sites are important for building generalized theory around why and how people understand and interpret climate change and associated risks. This paper presents a cross-sectional study from six different country contexts to illustrate a novel comparative approach to unraveling the complexities of local vs global perceptions around climate change. We extract and compare ‘cultural knowledge’ regarding climate change using the theory of ‘culture as consensus’. To demonstrate the value of this approach, we examine cross-national data to see if people within specific and diverse places share ideas about global climate change. Findings show that although data was collected using ethnographically derived items collected through place-based methods we still find evidence of a shared cultural model of climate change which spans the diverse sites in the six countries. Moreover, there are specific signs of climate change which appear to be recognized cross-culturally. In addition, results show that being female and having a higher education are both likely to have a positive effect on global cultural competency of individuals. We discuss these result in the context of literature on environmental perceptions and propose that people with higher education are more likely to share common perceptions about climate change across cultures and tentatively suggest that we appear to see the emergence of a ‘global’, cross-cultural mental model around climate change and its potential impacts which in itself is linked to higher education.     

A new approach for evaluating climate change communication

Many scholars study when climate change communication increases citizen engagement. Yet, past work has largely used public opinion-based measures of engagement to evaluate alternative frames. In this paper, we argue for a new approach to evaluation, which is premised on research on the policy-making process showing that space on the political agenda and, ultimately, policy change are more likely to arise in response to changes in both public opinion and collective political action. Thus, we argue that alternative frames should be evaluated based on their consequences for both. This is especially critical given that frames can have divergent effects on attitudes and behavior. Using a combination of field and survey experiments, we apply our approach to evaluate two frames related to climate change risks. We find that they heighten people’s concern about climate change yet decrease their rate of political action to express that concern. Our results suggest caution with regard to these frames in particular and that, more generally, frames that might seem advantageous when examining public opinion may not be when political behavior is analyzed.

     

On climate variability and civil war in Asia

Effects of climate change are frequently claimed to be responsible for widespread civil violence. Yet, scientists remain divided on this issue, and recent studies suggest that conflict risk increases with higher rainfall, loss of rainfall, higher temperatures or none of the above. Lack of scientific consensus is driven by differences in data, methods, and samples, but may also reflect a fragile and inconsistent correlation for the habitual spatiotemporal domain, Sub-Saharan Africa post-1980. This study presents a comprehensive, multi-scale empirical evaluation of climate-conflict connections across Asia, the continent with the highest conflict rate per country. We find little evidence that interannual climate variability and anomalies are linked to historical conflict risk in the simple and general manner proposed by some earlier research. Although a significant parameter coefficient can be obtained under certain specifications, the direction and magnitude of the climate effects are inconsistent and sensitive to research design. Instead, Asian civil wars share central features with violent events elsewhere, proving the main correlates of contemporary armed conflict to be economic and socio-political rather than climatological.     

Politics eclipses climate extremes for climate change perceptions

Whether or not actual shifts in climate influence public perceptions of climate change remains an open question, one with important implications for societal response to climate change. We use the most comprehensive public opinion survey data on climate change available for the US to examine effects of annual and seasonal climate variation. Our results show that political orientation has the most important effect in shaping public perceptions about the timing and seriousness of climate change. Objective climatic conditions do not influence Americans’ perceptions of the timing of climate change and only have a negligible effect on perceptions about the seriousness of climate change. These results suggest that further changes in climatic conditions are unlikely to produce noticeable shifts in Americans’ climate change perceptions.     

The integrated socio-perceptual approach: Using ecological mental maps and future imaginaries to understand land use decisions

Rural places are important centers of environmental and social transformation. Landholders are not only affected by socio-environmental changes, but they are influencing futures related to climate change, food security, freshwater, biodiversity, and social and economic development. Much environmental land use work understands individual landholders as rational actors, portrayed through the economic lens of “producer.” These approaches generally focus on present capacities and limitations as the principal factors contributing to land use, and the individual farm as the reference unit for decisions. Our research takes steps to expand conceptualizations of rural landholders as active and knowledgeable in envisioning, managing, and shaping environmental futures. We design and test a new approach using ecological mental maps and future imaginaries to understand land use practices through a case study in the cocoa-producing and Atlantic Forest region of Southern Bahia, Brazil. The integrated socio-perceptual (ISP) approach combines qualitative and quantitative methodologies to honor the depth of landholders’ experiences and perspectives and to allow broader regional relationships and insights to emerge. We demonstrate that the ISP approach—through 49 surveys—has the capacity to capture variation and identify patterns in ecological mental maps and future imaginaries in a population, approximate the relevant spatial scales underlying these factors, and identify relationships between these and land uses. In this context, the types of narratives landholders hold about the region’s future are associated with current forest land use on their properties. We discuss potential applications of the ISP approach for land use study and practice.     

A sensitivity-based approach to evaluating future changes in Colorado River discharge

Projections of a drier, warmer climate in the U.S. Southwest would complicate management of the Colorado River system—yet these projections, often based on coarse resolution global climate models, are quite uncertain. We present an approach to understanding future Colorado River discharge based on land surface characterizations that map the Colorado River basin’s hydrologic sensitivities (e.g., changes in streamflow magnitude) to annual and seasonal temperature and precipitation changes. The approach uses a process-based macroscale land surface model (LSM; in this case, the Variable Infiltration Capacity hydrologic model, although methods are applicable to any LSM) to develop sensitivity maps (equivalent to a simple empirical model), and uses these maps to evaluate long-term annual streamflow responses to future precipitation and temperature change. We show that global climate model projections combined with estimates of hydrologic sensitivities, estimated for different seasons and at different change increments, can provide a basis for approximating cumulative distribution functions of streamflow changes similar to more common, computationally intensive full-simulation approaches that force the hydrologic model with downscaled future climate scenarios. For purposes of assessing risk, we argue that the sensitivity-based approach produces viable first-order estimates that can be easily applied to newly released climate information to assess underlying drivers of change and bound, at least approximately, the range of future streamflow uncertainties for water resource planners.     

On the use of imagery for climate change engagement

This article answers calls from scholars to attend to a research gap concerning the visual representation of climate change. We present results from three Q-methodology workshops held in Melbourne (Australia), Norwich (UK) and Boulder (USA) investigating engagement with climate change imagery drawn from mass media sources. Participants were provided with a concourse of climate change images drawn from a newspaper content analysis carried out across all three countries, and asked to carry out two Q-sorts: first, for salience (‘this image makes me feel climate change is important’) and second, for efficacy (‘this image makes me feel I can do something about climate change’). We found results remarkably consistent both across and within country cohorts. This may indicate the presence of a dominant, mainstream discourse around climate imagery. We found that imagery of climate impacts promotes feelings of salience, but undermines self-efficacy; that imagery of energy futures imagery promotes self-efficacy; and that images of politicians and celebrities strongly undermine saliency, and undermine self-efficacy for the Australian cohort. These results, if widely replicable, have implications for climate change communication and engagement. Our results suggest that imagery plays a role in either increasing the sense of importance of the issue of climate change (saliency), or in promoting feelings of being able to do something about climate change (efficacy) – but few, if any, images seem to do both. Communications strategies should assess the purpose of their messages, considering these findings regarding salience and efficacy in this study, and choose to employ images accordingly.     

Pathways for climate resilient development: Human well-being within a safe and just space in the 21st century

The concept of climate resilient development pathways (CRDPs) introduced in IPCC’s Fifth Assessment Report remains poorly conceptualised. We have attempted to deepen the conceptualisation of climate resilient development (CRD) or climate compatible development, while charting its pathways through fuzzy cognitive maps (FCMs)-based simulations aided by knowledge based on stakeholders’ insights. We conceptualise CRD as a development embracing mitigation, adaptation and inclusive sustainable development to advance planetary health and well-being for all. The FCMs-based simulations demonstrate that appropriate enabling conditions are critical to the achievement of CRD, the most important of them being (i) the ethics, values, and worldviews shaping CRD’s directions by framing appropriate climate narratives and action; (ii) partnerships and commitment to finance and technology by the governments; (iii) interactions between the actors and arenas of engagement facilitating CRD decisions and actions; and (iv) dimensions of governance at multiple levels involving policy, institutions and practice. Citizens’ defence against climate change as a human right, along with planetary health and well-being, demands synergies while implementing mitigation, adaptation and sustainable development. Short-term decisions and actions related to mitigation, adaptation, and sustainable development could have long-term effects on CRDPs. CRD could entail a societal transformation to eudaimonic living for ensuring universal well-being. The findings of this research could have profound implications for multilateral negotiations.     

Exploring the orientations which characterise the likely public acceptance of low emission energy technologies

There is a large body of research and development into the low emission energy technologies that has the potential to assist developed and developing countries transition to more sustainable energy systems. It has long been recognised that public perceptions can have a fundamental effect on the market for technology and this issue raises questions about the role society will play in developing a low emissions energy future. Understanding how the public will respond to the range of low emission energy technologies as part of a climate change mitigation package is therefore critical for researchers, policy makers and industry stakeholders. In the current research, we investigated the Australian public’s likely acceptance of a range of low emission energy technologies by assessing the diverse ‘orientations’ that have emerged in response to low emission energy technologies. In a survey of two Australian states we measured the support for, and knowledge of, a range of low emission energy technologies. Using self-organising maps, a relatively new approach for segmenting response profiles, we identified that at least four distinct ‘orientations’ have emerged toward the issue and are characterising the likely acceptance of these technologies: ‘Disengaged’, ‘Nuclear Oriented’, ‘Renewables Oriented’, and ‘Engaged’. The implications of these multiple public viewpoints are described for climate change mitigation policy and for future research into the social acceptance of alternative energy technologies.     

应对气候变化南南合作物资赠送项目评估研究

应对气候变化南南合作物资赠送项目是中国气候变化南南合作的重要组成部分。该项目自2011年实施以来,进展顺利,影响深远。国家国际发展合作署组建后,对援外项目监管和评估提出了更加具体的要求,但相关理论和方法的研究仍处在起步阶段,尚不足以对实践形成有效支撑。本文立足援外改革要求,结合对历史项目进展及成效的回顾分析,研究提出了适用于处理非结构化项目信息的系统性评估方法,构建了包含战略政策与项目实施两个视角、兼顾项目效果与质量评估两个维度的三级评估指标体系,同时可为项目实施监管、经验反馈、效果提升、传播推广等提供可用工具。研究发现,截至2020年6月,中方已实施完成40次公开招标采购,落实了与29个合作国签署的应对气候变化南南合作物资赠送谅解备忘录,累计提供总价值逾5亿元人民币的应对气候变化物资。该项目在支持国家外交战略与政策实施、彰显国际责任,支持合作国应对气候变化与可持续发展,推动构建人类命运共同体等多方面取得务实成效,提升了中国气候变化南南合作在国际社会的影响力。但具体物资赠送项目的差异化特征突出、基础信息来源渠道复杂、信息化水平不足等因素仍在一定程度上制约了评估工作的可操作性和便捷性,以及评估结果服务项目监管的能力和效率。     

Mapping the shadow of experience of extreme weather events

Climate change will increase the frequency and/or intensity of certain extreme weather events, and perceived experience with extreme weather may influence climate change beliefs, attitudes, and behaviors. However, the aspects of extreme events that influence whether or not people perceive that they have personally experienced them remain unclear. We investigate (1) the correspondence of reported experience of extreme weather events with documented events, and (2) how characteristics of different extreme events shape the geographic area within which people are likely to report they have experienced it—the event’s perceived “shadow of experience.” We overlay geocoded survey responses indicating personal experience with hurricanes, tornadoes, and drought—from a 2012 nationally representative survey (N?=?1,008) of U.S. residents—on maps of recorded event impacts. We find that reported experiences correspond well with recorded event impacts, particularly for hurricanes and tornadoes. Reported experiences were related to event type, proximity, magnitude and duration. The results suggest locations where disaster preparedness efforts and climate change education campaigns could be most effective after an extreme weather event.     

农户生计对气候变化的敏感性研究综述

开展农户生计对气候变化的敏感性研究有利于深入认识气候变化与生计的关系,对增强农户的气候变化适应能力和降低生计脆弱性具有重要意义。在梳理不同领域敏感性概念的基础上,阐述了农户生计对气候变化敏感性的科学内涵和研究框架,重点分析了敏感性表征和综合评价指标体系。农户生计对气候变化的敏感性是指气候变化和极端事件对农户生计的影响程度,敏感性表征主要表现在气候变化对自然资源、人类健康、牲畜、资产和收入等方面的影响,不同地区和人群敏感性表征具有差异性。农户生计对气候变化的敏感性随着发展程度提高而下降,生计多样化、基础设施建设等有助于降低气候变化的影响。生计敏感性多为脆弱性研究的一部分,常以可持续生计分析为框架,运用指标评估法进行综合评价。未来研究需要完善敏感性理论框架和研究方法,加强适应的有效性评估,以及开展跨区域或跨时段的生计敏感性对比研究,重点关注生态脆弱和贫困地区。     

Adapting agriculture to climate change: a review

The agricultural sector is highly vulnerable to future climate changes and climate variability, including increases in the incidence of extreme climate events. Changes in temperature and precipitation will result in changes in land and water regimes that will subsequently affect agricultural productivity. Given the gradual change of climate in the past, historically, farmers have adapted in an autonomous manner. However, with large and discrete climate change anticipated by the end of this century, planned and transformational changes will be needed. In light of these, the focus of this review is on farm-level and farmers responses to the challenges of climate change both spatially and over time. In this review of adapting agriculture to climate change, the nature, extent, and causes of climate change are analyzed and assessed. These provide the context for adapting agriculture to climate change. The review identifies the binding constraints to adaptation at the farm level. Four major priority areas are identified to relax these constraints, where new initiatives would be required, i.e., information generation and dissemination to enhance farm-level awareness, research and development (R&D) in agricultural technology, policy formulation that facilitates appropriate adaptation at the farm level, and strengthening partnerships among the relevant stakeholders. Forging partnerships among R&D providers, policy makers, extension agencies, and farmers would be at the heart of transformational adaptation to climate change at the farm level. In effecting this transformational change, sustained efforts would be needed for the attendant requirements of climate and weather forecasting and innovation, farmer’s training, and further research to improve the quality of information, invention, and application in agriculture. The investment required for these would be highly significant. The review suggests a sequenced approach through grouping research initiatives into short-term, medium-term, and long-term initiatives, with each initiative in one stage contributing to initiatives in a subsequent stage. The learning by doing inherent in such a process-oriented approach is a requirement owing to the many uncertainties associated with climate change.     

The role of boundary organizations in climate change adaptation from the perspective of municipal practitioners

In climate change impact research it is crucial to carefully select the meteorological input for impact models. We present a method for model selection that enables the user to shrink the ensemble to a few representative members, conserving the model spread and accounting for model similarity. This is done in three steps: First, using principal component analysis for a multitude of meteorological parameters, to find common patterns of climate change within the multi-model ensemble. Second, detecting model similarities with regard to these multivariate patterns using cluster analysis. And third, sampling models from each cluster, to generate a subset of representative simulations. We present an application based on the ENSEMBLES regional multi-model ensemble with the aim to provide input for a variety of climate impact studies. We find that the two most dominant patterns of climate change relate to temperature and humidity patterns. The ensemble can be reduced from 25 to 5 simulations while still maintaining its essential characteristics. Having such a representative subset of simulations reduces computational costs for climate impact modeling and enhances the quality of the ensemble at the same time, as it prevents double-counting of dependent simulations that would lead to biased statistics.     

适应气候变化的国际行动和农业措施研究进展

针对气候变暖采取稳健的适应措施已成为国际社会共识。该文综合了当前适应气候变化的国际谈判进展及已有的农业适应气候变化措施,指出适应资金严重不足,技术研发、应用与转让难以实施,以及适应气候变化行动实施能力的不足严重制约着适应气候变化行动的有效实施;关于农业适应气候变化的技术措施仍缺乏系统的理论研究与应用示范。在此基础上,提出了未来中国农业适应气候变化需要重点开展的研究任务,即农业气象灾变过程的新特点及其风险管理, 农业适应气候变化的大数据决策管理系统研发及适应气候变化的农业气候区划与减灾保产技术研究,以切实推进农业适应气候变化,为确保国家粮食安全与农业可持续发展提供支撑。     

Difficulties in accounting for private finance in international climate policy

It is widely acknowledged that private finance has a key role to play in achieving low-carbon development and resilience to climate change. However, while there have been several studies that have closely examined the data on public climate finance, there have been few such studies of the private climate-related finance data. There is a political dimension to accounting for ‘private finance’ given the commitment of industrialized countries – enshrined in the Copenhagen Accord and the Cancun Agreements – to mobilize US$100 billion of public and private finance for developing countries by 2020, on an annual basis. The availability and quality of data for different types of private climate finance flows with climate benefits (investments, carbon market payments, and voluntary funding) are analysed, and these flows are assessed according to various criteria for inclusion in the $100 billion figure. While existing data suggest that private climate finance invested in developing countries and mobilized by industrialized countries might currently be in the range of $27–123 billion per year, this number is a questionable point of reference. Existing data are limited and of very poor quality: definitions of ‘private climate finance’ are missing and data are hardly verified. Therefore, policy makers will first have to clearly define ‘private climate finance’ and develop systems for measuring, reporting, and verifying it, before using private finance numbers in international climate agreements.