Climate Risk Management最新文献

The extent and severity of disaster displacement in small island developing states (SIDS) often go unreported or underreported in global assessments due to the total number of affected people falling below established thresholds. Additionally, post-disaster assessments prepared by various international relief agencies often present conflicting evidence, and largely do not offer substantial insights into national and subnational spatial and temporal patterns of displacement, particularly with respect to the disproportionate risk that certain localities, communities and populations face over time. This article is a case study of hurricane induced displacement in a Caribbean SIDS – The Bahamas. It triangulates data from a publicly-available global disaster database, weather and post-disaster reports from national government departments and agencies, and newspaper articles. Its qualitative-dominant synthesis represents the best available evidence of hurricane risk across the archipelago between 2004 and 2019, organized according to hazard (winds, storm surge, flooding), exposure (people, livelihoods, assets etc. adversely affected), and vulnerability (the propensity or predisposition for adverse impacts). It finds that 11 hurricanes across three periods caused displacement in one or more of the 17 major islands. In identifying the emerging spatial and temporal patterns, it proposes two alternative core-periphery models for The Bahamas. These models not only provide a more accurate account of the islands’ exposure and sensitivity to hurricanes, but also highlight the geographical factors that should be considered as the basis for future plans, actions, strategies or policies that seek to build equitable resilience to these and other climate-amplified hydrometeorological events in SIDS.

Prioritizing climate adaptation actions is often made difficult by stakeholders and decision-makers having multiple objectives, some of which may be competing. Transparent, transferable, and objective methods are needed to assess and weight different objectives for complex decisions with multiple interests. In this study, the Analytic Hierarchy Process (AHP) was used to examine priorities in managing cultural resources in the face of climate change at Cape Lookout National Seashore on the Atlantic coast of the southeastern United States. In this process, we conducted facilitated discussion sessions with the selected stakeholder representatives to elicit a comprehensive list of management objectives. Objectives were then merged into three categories: 1) Maximize retention of historic character and condition (HCC); 2) Foster heritage awareness (HA); and 3) Maximize financial benefits (FB). We facilitated two AHP exercise sessions, both individually and in groups, to seek consensus on the relative importance of the objectives. The AHP process created a space for stakeholders (government agencies and local citizens) to consider and present arguments that we used to contextualize their trade-offs between the objectives. The stakeholders' top priority was to maximize the HCC. This objective was prioritized more than HA and FB in the individual trade-off choices, while HA was given nearly equal priority to FB. The consensus priority vectors of two management objectives (HCC and HA) differ significantly from FB, but the difference between HCC and HA is slight and not statistically different. FB and HA had larger changes in consensus priority vectors among the three objectives relative to individual priority vectors. For HCC, the difference between individual and consensus priority vectors was the smallest and nearly equal. Moreover, very high levels of consistency were found in consensus priority trade-off discussions and AHP application. Our research highlights the advantage of using a two-step AHP process in climate adaptation planning of vulnerable resources to enhance robustness in decision making. Coupling this approach with future efforts to develop management priorities would help estimate indices to determine the order in which adaptation treatments are applied to vulnerable cultural resources.

Arid areas are sensitive and vulnerable to climate change and may face more climate risks in the future under the background of global warming. The adaptability of society to future climate change impacts relies heavily on the awareness and perception of local populations. This study focuses on the middle and lower reaches of the Heihe River, which is the second-largest inland river in China, and examine the temperature and precipitation changes from 1981 to 2020, employing the Sen + Mann-Kendall trend analysis method. The local farmers and herdsmen were interviewed, and their variations in awareness and perception regarding climate change were assessed. The results show that local residents are highly sensitive to climate warming but not to precipitation increases, indicating that the communities faces substantial constraints imposed by limited water resources. Residents of the downstream desert area feel a wetter climate than those of the mountain and oasis areas in the middle reach, suggesting a greater water scarcity pressure in the latter. The increased allocation of ecological water to the downstream portion of the Heihe river, as implemented by the “97″ water distribution plan in 2000, may be a contributing factor to this phenomenon. The disparities in the fact and residents’ awareness and perception of climate change are different among the mountainous, oasis, and desert regions, which are influenced by regional differences in climate change, agricultural production conditions, and water policies. The government should consider these factors when formulating water policies to ensure successful and balanced development.

The growing focus on enhancing resilience in international humanitarian communities and vulnerable regions underscores the need for advancing theoretical and empirical tools. This research introduces a balance scorecard co-developed with users to monitor justice in disaster risk reduction and resilience (DR3) with a specific emphasis on floods, droughts and heatwaves. The goal is facilitating the integration of risk reduction, climate adaptation, and sustainability into development planning across various locations. The participatory design of the balance scorecard engages 71 stakeholders in vulnerable emerging market economies in the Global South. We take a nexus approach towards critically linked resources (water, energy, land, food, materials), global agendas (Climate Change Adaptation, Sustainable Development Goals and Sendai Framework), vulnerability factors (hazard, exposure and capabilities) and environmental justice dimensions (distribution, participation, capabilities and recognition). Stakeholders confirm the findings from literature that disaster risk governance tends to be more responsive than preventive. The research contributes by introducing temporal dimensions into the balance scorecard, covering anticipation, assessment, prevention, preparedness, response and recovery. This enhances the granularity of pre-emergency phases in risk management, enabling a dynamic analysis of justice considerations given the unique challenges faced by different communities at each stage of the risk management cycle.

To what extent can outdoor heat adaptation measures in urban districts help to reduce high indoor temperatures in buildings and thus enhance indoor thermal conditions? To answer this question microscale meteorological simulation (MMS) and building performance simulation (BPS) are combined in a model chain approach. Two existing residential German districts with different urban designs are modelled in the MMS tool ENVI-met. For both districts, a representative residential building (one from the Wilhelminian period and one large panel construction type) is modelled using the BPS tool IDA-ICE. Different scenarios of heat adaptation measures are applied to analyse how changes in urban and building design (e.g. white (cool) roofs (high albedo), white traffic areas (high albedo), intensive green roofs, urban trees, facade insulation or facade greening) affect outdoor and indoor temperatures. The MMS results highlight that the district from the Wilhelminian period is less heat resilient and that the efficacy of heat adaptation measures on heat reduction in open space depends on the urban design and the daytime. Regarding the efficacy of heat adaptation measures on indoor thermal conditions, our findings indicate that the larger share of the indoor cooling effect is not caused by the outdoor air temperature reduction by the outdoor heat adaptation measures but by the change of the building physics in the BPS model (e.g. changing the surface reflectance of the white roofs). White roofs and intensive green roofs show the largest cooling effect by reducing the operative room temperature by more than 1 Kelvin. Our findings also demonstrate that facade insulation can act as both, climate adaptation and mitigation measures.

As sea-level rise (SLR) inundation maps proliferate, it is important to study their politics – both how they are created and how they act upon and shape various lives and places. This paper uses the example of King Salmon, CA – a rural, low-income residential area projected to be one of the most at risk to SLR on the US West Coast – to examine how a community responds to external projections showing SLR risk to their homes and businesses. Through interviews with 17 King Salmon community members and observation of a county-hosted ‘communities at risk’ workshop, we examined the community’s social context, their past experiences with flooding, and their reaction to SLR projection maps including what next steps they would like to see taken. Residents expressed a strong connection to the place, noting that it is one of the few affordable places to live on the coast in California. We found that residents already live with regular flooding during larger tides of the year and have taken steps to adapt. We observed a strong generational component in responses to projection maps with many older respondents believing or hoping that the worst effects from SLR would not come until after they passed away. Residents expressed a lack of faith in government to address flooding concerns both at present and into the future, noting that general maintenance issues have gone unaddressed for decades. Many residents interviewed and observed seemed open or at least resigned to the possibility of relocation at a future undetermined time. This work reveals the power dynamics inherent in climate projections like SLR maps, which, due to their technical nature and mobility, can leave communities out of conversations related to potential futures. Findings also have implications related to climate and SLR work – highlighting the importance of understanding community context; contributing to equity considerations about how wealth and other demographic factors shape how communities interact with SLR planning; and spotlighting the need for sustained learning, engagement, and co-production with communities in the ‘blue zones’ of SLR inundation maps.

Future climate change, especially rising temperature and varying precipitation will have significant impacts on potato production. Revealing the optimum planting date, irrigation schedule and fertilizer amount under future climate scenarios is critical for promoting sustainable potato production in the Agro-Pastoral Ecotone (APE). In this study, two representative stations of Wuchuan (WC) and Zhangbei (ZB) in APE were selected, firstly, we used well validated APSIM-Potato model to optimize the planting date of potato in future climate scenarios. Then the impacts of different combination of N fertilizer and irrigation on potato yield, N loss, water use efficiency (WUE), nitrogen use efficiency (NUE) and economic income were analyzed under optimal planting date. The future climate projection was provided by 13 Global Climate Models (GCMs) from the Coupled Model Inter-comparison Project phase 6 (CMIP6) under two emission scenarios of future societal development pathway (SSP) 245 and SSP585. Compared with baseline period (1981–2010), the planting windows during 2040 s (2031–2060) and 2080 s (2071–2100) were wider, and the optimal planting dates (OPDs) for rainfed potato should be arranged later under SSP245, but it should be earlier under SSP585. However, the OPDs for irrigated potato should advance under SSP245 and SSP585. Then, we analyzed the coupling effects of irrigation and nitrogen fertilizer on potato production under OPDs in future climate scenarios. Irrigation was carried out based on the soil water deficit within 1 m depth (IR, ranged from 10 mm (IR₁₀) to 100 mm (IR₁) with the interval of 10 mm) and fertilizer was set with 8 treatments (N, ranged from 0 kg ha⁻¹ (N₀) to 210 kg ha⁻¹ (N₇) with the interval of 30 kg ha⁻¹). To achieve highest yield, maximum amount of N (N₇, 210 kg ha⁻¹) coupled with IR₁₀ (irrigation applied if soil water deficit beyond 10 mm) should be applied for both WC and ZB station. However, these combinations would accumulatively decrease groundwater table (GDT) by 70.8–76.5 m (39.1–44.8 m) and 78.7–80.2 m (38.6–47.4 m) during 2040 s and 2080 s, and induce annual N loss by 21.6–27.3 kg ha⁻¹ (24.7–25.3 kg ha⁻¹) and 17.7–21.9 kg ha⁻¹ (18.3–21.2 kg ha⁻¹) at WC (ZB), respectively. Net income of potato under different combinations of irrigation and N fertilizer ranged from −10700 to 25,500 Yuan ha⁻¹ and from −4100 to 26,600 Yuan ha⁻¹ at Wuchuan and Zhangbei. To maximize the income of farmers, N₄ (120 kg ha⁻¹) coupled with IR₉ (irrigation applied if soil water deficit beyond 20 mm) should be applied at the two study sites. Our results would be helpful in developing adaptable strategies for potato production to cope with future climate change in the APE.

Climate risk is a major threat to the sustainable food production of many farmers who depend on rainfed agricultural systems. In response to this threat, climate-smart agricultural innovations, such as drought-tolerant and early mature crop varieties, have been developed and promoted. It is well-known that adopting innovations and improved technologies positively impact adopters' well-being. Therefore, this study sought to determine the factors influencing the adoption of climate risk adaptation strategies and subsequently estimate how food security is affected by the adoption using questionnaire survey data from 1,080 farming households across six agro-ecological zones. The data were analysed using different matching techniques and Endogenous Switching Regression (ESR). The model results reveal that access to extension, crop-related and weather information, access to credit and climate change awareness of farmers increase the adoption likelihood of the climate risk adaptation strategies. Adoption of climate risk adaptation strategies positively impacts the food security of farming households as it increases their dietary diversity score and reduces the food security coping strategy index. Enhancing the accessibility of the drought-tolerant and early mature varieties, promoting crop-related and weather information through extension services, and empowering farmers through credit accessibility would strengthen the adoption of climate risk adaptation strategies to increase food security.

Smallholder farmers’ livelihoods follow predictable and cyclical patterns related to annual cycles of weather, crop and animal production and market fluctuations. Understanding seasonality forms an essential part of unravelling farming systems behaviour and performance, especially in contexts with strong seasonality, such as southern Mali. Farmers make strategic, tactical and operational decisions related to different time horizons to support their agricultural activities. The diverse resource endowments of farming households influence their decisions, and adaptive capacity. This study aimed to understand farmers’ management decisions to cope with weather variability and related consequences. We used a case study approach to analyse temporal interactions between farming system components using data collected over three consecutive years (2017–2019). We focused on three research questions. First, how do farmers navigate the regular patterns of seasonal variations in rainfall, prices, food and fodder availability, and income? Second, how does seasonality influence complementarity between farm components, and trade-offs and synergies among farming objectives that result from the allocation of scarce resources? Finally, how do farming households of different resource endowments respond to unexpected changes and how does this affect the above-mentioned synergies and trade-offs? The data collection methods included (1) focus group discussions, (2) household surveys, and (3) detailed farm monitoring. Farmers undertook diverse production activities, which helped to mitigate negative consequences of crop failure. While providing opportunities for increased adaptive capacity, this diversity also creates interdependencies among farming system components, leading to reinforced positive outcomes in good years and negative outcomes in bad years. This double-edged sword challenges the simple assumption that diversification increases the stability of a farming system. All farm types faced seasonal resource constraints to adapt to unexpected changes. However, the magnitudes of changes in synergies and trade-offs among objectives were less pronounced for medium resource endowed farmers because of their more balanced people- and herd-to-land ratio compared to high resource endowed farmers. Our findings suggest that a better understanding of farm management decisions and the influence of seasonality is key to support farm productivity and to expand the adaptive capacity of smallholders. We suggest that policies aiming to support farm productivity should pay attention to the specific impediments faced by farms with different resource endowments to adapt to changes. Especially, access to credit helps poorer farmers not only to navigate the seasonal food and cash constraints but also to escape poverty traps.