Resilience in the rural Andes: critical dynamics, constraints and emerging opportunities

Sietz, Diana; Feola, Giuseppe

doi:10.1007/s10113-016-1053-9

Cited by 34 publications

(6 citation statements)

References 44 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Based on the mental model approach (MMA) (Morgan et al 2002), Binder and Schöll (2010) developed the structured mental model approach (SMMA). The SMMA combines the so-called sustainable livelihood framework (SLF) (Scoones 1998)-a framework that shows how sustainable livelihoods are achieved through access to resources of livelihood capitals with the MMA (Morgan et al 2002). The SMMA can help to understand how farmers perceive and balance livelihood risks for their agricultural practices (Schoell and Binder 2009;Binder and Schöll 2010).…”

Section: Introductionmentioning

confidence: 99%

Risk perception and decision-making: do farmers consider risks from climate change?

Eitzinger

Binder

Meyer³

2018

Climatic Change

View full text Add to dashboard Cite

Small-scale farmers are highly threatened by climate change. Experts often base their interventions to support farmers to adapt to climate change on their own perception of farmers' livelihood risks. However, if differences in risk perception between farmers and experts exist, these interventions might fail. Thus, for effective design and implementation of adaptation strategies for farmers, it is necessary to understand farmers' perception and how it influences their decision-making. We analyze farmers' and experts' systemic view on climate change threats in relation to other agricultural livelihood risks and assess the differences between their perceptions. For Cauca, Colombia, we found that experts and farmers perceived climate-related and other livelihood risks differently. While farmers' perceived risks were a failure in crop production and lack of access to health and educational services, experts, in contrast, perceived insecurity and the unreliable weather to be the highest risks for farmers. On barriers that prevent farmers from taking action against risks, experts perceived both external factors such as the national policy and internal factors such as the adaptive capacity of farmers to be the main barriers. Farmers ranked the lack of information, especially about weather and climate, as their main barrier to adapt. Effective policies aiming at climate change adaptation need to relate climate change risks to other production risks as farmers often perceive climate change in the context of other risks. Policymakers in climate change need to consider differences in risk perception.

show abstract

Section: Introductionmentioning

confidence: 99%

Risk perception and decision-making: do farmers consider risks from climate change?

Eitzinger

Binder

Meyer³

2018

Climatic Change

View full text Add to dashboard Cite

show abstract

“…It is also an example of a dryland system with a wide spectrum of bio-physical and socio-economic conditions as well as complex agricultural problems. While the properties of drylands around the world can widely vary [32,33], lessons learned from the drought assessment of such a complex system can be useful in other catchments in terms of methodology and providing detailed insights on key elements required for assessing different aspects of drought. The standardized and holistic drought hazard assessment implemented in this study can be conducted in other basins to identify regions exposed to drought.…”

Section: Introductionmentioning

confidence: 99%

Multilevel Drought Hazard Assessment under Climate Change Scenarios in Semi-Arid Regions—A Case Study of the Karkheh River Basin in Iran

Kamali

Kouchi

Yang

et al. 2017

Water

View full text Add to dashboard Cite

Studies using Drought Hazard Indices (DHIs) have been performed at various scales, but few studies associated DHIs of different drought types with climate change scenarios. To highlight the regional differences in droughts at meteorological, hydrological, and agricultural levels, we utilized historic and future DHIs derived from the Standardized Precipitation Index (SPI), Standardized Runoff Index (SRI), and Standardized Soil Water Index (SSWI), respectively. To calculate SPI, SRI, and SSWI, we used a calibrated Soil and Water Assessment Tool (SWAT) for the Karkheh River Basin (KRB) in Iran. Five bias-corrected Global Circulation Models (GCMs) under two Intergovernmental Panel on Climate Change (IPCC) scenarios projected future climate. For each drought type, we aggregated drought severity and occurrence probability rate of each index into a unique DHI. Five historic droughts were identified with different characteristics in each type. Future projections indicated a higher probability of severe and extreme drought intensities for all three types. The duration and frequency of droughts were predicted to decrease in precipitation-based SPI. However, due to the impact of rising temperature, the duration and frequency of SRI and SSWI were predicted to intensify. The DHI maps of KRB illustrated the highest agricultural drought exposures. Our analyses provide a comprehensive way to monitor multilevel droughts complementing the existing approaches.

show abstract

“…A part of the literature reads it in terms of "bouncing back"-paralleling the etymological root of the term-stressing that resilience implies the maintenance or recovering of some sort of equilibrium upon a disturbance (Alexander, 2013). Other interpretations, however, link resilience to the existence of multiple equilibria or "basins of attraction" and to the propensity of a system to shift from one to the other when faced with a disturbance large enough to overcome its critical thresholds (Chapin et al, 2009;Folke, 2016;Scheffer et al, 2002;Sietz & Feola, 2016). Since the second understanding was first made popular within the ecological literature, it is sometimes dubbed as "ecological" resilience, in opposition to "engineering" resilience (Holling, 1996), or "persistence" versus "adaptability" (Walker et al, 2004), or "adaptability" and "agility" versus "robustness" and "resistance" (Galaitsi et al, 2020).…”

Section: Timeframes Of Resilience: Persistence Versus Evolutionmentioning

confidence: 99%

An Integrated Framework to Streamline Resilience in the Context of Urban Climate Risk Assessment

Urquiza

Amigo

Billi³

et al. 2021

Earth's Future

View full text Add to dashboard Cite

show abstract

Resilience in the rural Andes: critical dynamics, constraints and emerging opportunities

Cited by 34 publications

References 44 publications

Risk perception and decision-making: do farmers consider risks from climate change?

Risk perception and decision-making: do farmers consider risks from climate change?

Multilevel Drought Hazard Assessment under Climate Change Scenarios in Semi-Arid Regions—A Case Study of the Karkheh River Basin in Iran

An Integrated Framework to Streamline Resilience in the Context of Urban Climate Risk Assessment

Contact Info

Product

Resources

About