Emilie Beauchamp

Dr. Emilie Beauchamp


Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 March 2019 in Global Environmental Change
Verified
Journal Article
Open access
SWStephen Whitfield
Stephen Whitfield
EBEmilie Beauchamp
Emilie Beauchamp
Doreen BoydDoreen Boyd
Doreen Boyd
DBDavid Burslem
David Burslem
ABAnja Byg
Anja Byg
PWPiran C.L. White
Piran C.L. White

21 August 2020 in Environmental Research Letters
Verified
Journal Article
Open access
PDF file
EBEmilie Beauchamp
Emilie Beauchamp
MHMark Hirons
Mark Hirons
KBKatrina Brown
Katrina Brown
EME J Milner-Gulland
E J Milner-Gulland
Faced with the global climate crisis and the inevitability of future climate shocks, enhancing social-ecological resilience has become an urgent area for research and policy internationally. Research to better understand the impacts of, and response to, climate shocks is critical to improve the resilience and well-being of affected people and places. This paper builds on the findings of a focus collection on this topic to provide a concluding and forward-looking perspective on the future of social-ecological research on climate resilience. Drawing on an expert workshop to identify research gaps, we distinguish 20 priorities for future research on climate resilience. These span four key themes: Systems and Scales, Governance and Knowledge, Climate Resilience and Development, and Sectoral Concerns. Given the need and urgency for evidence-based policies to address the climate crisis, the analysis considers the importance of understanding how findings on social-ecological resilience is used in policy, rather than solely focusing on how it is generated. Many of the priorities emphasise the governance systems within which climate research is produced, understood and used. We further reflect on the state of current evidence generation processes, emphasising that the involvement of a wider range of voices in the design, implementation and dissemination of climate resilience research is critical to developing the efficient and fair interventions it is meant to support.

11 August 2021 in Sustainability
Verified
Journal Article
Open access
PDF file
EBEmilie Beauchamp
Emilie Beauchamp
NSNigel C. Sainsbury
Nigel C. Sainsbury
SGSam Greene
Sam Greene
TCTomas Chaigneau
Tomas Chaigneau
Interventions to address climate adaptation have been on the rise over the past decade. Intervention programmes aim to build the resilience of local communities to climate shocks, and ultimately their wellbeing by helping them to better prepare, adapt and recover. Resilience, similar to human wellbeing, is a multidimensional construct grounded in local realities and lived experiences. Yet current evaluation frameworks used in resilience programming rarely consider what resilience means in local contexts prior to implementation. This means policy designs risk failing to improve resilience of communities and creating unintended negative consequences for communities’ wellbeing. Better processes and indicators for assessing resilience are needed. This paper explores the interplay between local predictors of resilience and wellbeing to assess the validity of self-assessed indicators as part of frameworks to measure resilience. We draw from research on the Devolved Climate Finance (DCF) mechanism implemented between 2014 and 2018 in Tanzania. We find that different factors explain resilience when compared to wellbeing; while resilience is primarily influenced by relationships, wellbeing is correlated with livelihoods. This shows that incentives to improve resilience differ from those of wellbeing. Climate and development practitioners must adopt locally grounded framings for resilience and wellbeing to ensure interventions track appropriate indicators, towards positive outcomes.

20 November 2019 in Environmental Research Letters
Verified
Journal Article
Open access
PDF file
EBEmilie Beauchamp
Emilie Beauchamp
AMAnnalyse Dawn Moskeland
Annalyse Dawn Moskeland
EME J Milner-Gulland
E J Milner-Gulland
MHMark Hirons
Mark Hirons
BRBen Ruli
Ben Ruli
RMRebecca J. Morris
Rebecca J. Morris
Climate shocks are predicted to increase in magnitude and frequency as the climate changes, notably impacting poor and vulnerable communities across the Tropics. The urgency to better understand and improve communities’ resilience is reflected in international agreements such as the Paris Agreement and the multiplication of adaptation research and action programs. In turn, the need for collecting and communicating evidence on the climate resilience of communities has increasingly drawn questions concerning how to assess resilience. While empirical case studies are often used to delve into the context-specific nature of resilience, synthesizing results is essential to produce generalizable findings at the scale at which policies are designed. Yet datasets, methods and modalities that enable cross-case analyses that draw from individual local studies are still rare in climate resilience literature. We use empirical case studies on the impacts of El Niño on smallholder households from five countries to test the application of quantitative data aggregation for policy recommendation. We standardized data into an aggregated dataset to explore how key demographic factors affected the impact of climate shocks, modeled as crop loss. We find that while cross-study results partially align with the findings from the individual projects and with theory, several challenges associated with quantitative aggregation remain when examining complex, contextual and multi-dimensional concepts such as resilience. We conclude that future exercises synthesizing cross-site empirical evidence in climate resilience could accelerate research to policy impact by using mixed methods, focusing on specific landscapes or regional scales, and facilitating research through the use of shared frameworks and learning exercises.

23 October 2019 in Sustainability
Verified
Journal Article
Open access
PDF file
EBEmilie Beauchamp
Emilie Beauchamp
TCTom Clements
Tom Clements
EME. J. Milner-Gulland
E. J. Milner-Gulland
Land governance highly affects rural communities’ well-being in landscapes where land and its access are contested. This includes sites with high land pressures from development, but also from conservation interventions. In fact, local people’s motivations for sustainably managing their resources is highly tied to their perceptions of security, trust and participation in land management regimes. Understanding these perceptions is essential to ensure the internal legitimacy and sustainability of conservation interventions, especially in areas where development changes are fast paced. This paper presents an analysis of household perceptions of land issues in 20 villages across different conservation and development contexts in Northern Cambodia. We assess whether conservation and development interventions, as economic land concessions, influence perceptions of land issues in control and treatment sites by modelling five key perception indicators. We find that household characteristics rather than village contexts are the main factors influencing the perceptions of land issues. Interventions also affect perceptions, especially with regards to the negative effect of development pressures and population growth. While large-scale protected areas do not calm insecurity about land issues, some village-based payment for environmental services projects do. Ultimately, evidence from perception studies can help address current concerns and shape future conservation activities sustainably.

1 September 2024 in Environmental Research Communications
Verified
Journal Article
Open access
MBMarco Billi
Marco Billi
Roxana BorquezRoxana Borquez
Roxana Borquez
JVJuan Carlos Varela
Juan Carlos Varela
PAPaulina Aldunce
Paulina Aldunce
NANicolle Aspee
Nicolle Aspee
MRMaisa Rojas
Maisa Rojas
This paper illustrates a methodology to measure the impact of resilience-building actions on the increased resilience of people and natural systems to face climate change, developed and field-tested around the Race to Resilience Campaign. Despite increasing acknowledgment of the need for robust methodologies and indicators to monitor and evaluate efforts across adaptation planning and implementation, and provide credibility, accountability and transparency to such actions, there is still a lack of sufficiently standardized and agreed upon metrics able to capture the effect of resilience-building actions. The proposal illustrated in this manuscript offers a pioneering approach for high-level tracking, monitoring and evaluation of resilience-building efforts of non-state actors, based on two complementing sets of metrics: depth metrics measure the degree to which an action is generating a change to fundamental conditions which can demonstrably be related to increasing resilience; while magnitude metrics offer a quantification of the beneficiaries that are affected by these changes. Underlying both stand the Resilience Attributes: properties which can be soundly associated with triggering resilience across different systems, and which can then be used to assess increased resilience ‘by proxy’: that is, by seeing how an action sets forth changes in properties commonly associated with resilience. These Attributes were identified based on updated scientific literature and co-construction exercises with global experts. The integration of Depth and Magnitude indices, adjusted by a Confidence Index evaluating data reliability, allows to estimate the overall contribution of a set of actions on increasing resilience against climate challenges. Based on the above, a possible Monitoring & Evaluation cycle is proposed, and an illustration is offered on two case studies from the Race to Resilience campaign. Key strengths, lessons learned and insights are summarized to stimulate the global discussion, in the context of the Global Stocktake and Global Goal on Adaptation.