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Abstract: Policy makers worldwide face tough choices over how to prioritize public funding for adaptation to climate change. One particularly difficult choice is whether to opt for policies that promote relocation away from flood risks or infrastructure investments that protect against flooding. Local communities commonly prefer protective infrastructure, but it is less obvious that the general public will support this approach due to the growing costs. We study public opinion on these adaptation approaches using a choice experiment with nationally representative samples in the United States and Germany (n = 2400 each). We asked participants to prioritize federal funding between two hypothetical, equally sized communities differing in their adaptation strategy, flood frequency, lives and economic assets at risk, economic vitality, geographic distance, and political orientation. In both countries, we find surprisingly strong support for protective infrastructure over relocation policies among the general public, even under conditions where relocation could be an attractive alternative for addressing the growing costs of protective infrastructure and rebuilding efforts.

In recent years, recognition has grown of the significant role that food systems play in driving climate change, constituting about one-third of global greenhouse gas emissions, while also playing a key role in sequestering carbon and adapting to climate changes. The COP28 climate conference signaled a pivotal shift, spotlighting food and agriculture in discourse. However, despite pledges and declarations, concrete plans and targets to address emissions from food chains remain elusive. Urgent action is imperative to transform food systems and avert surpassing critical warming thresholds. [ABSTRACT FROM AUTHOR]

Recent major investments in infrastructure in the United States and globally present a crucial opportunity to embed equity within the heart of resilient infrastructure decision-making. Yet there is a notable absence of frameworks within the engineering and scientific fields for integrating equity into planning, design, and maintenance of infrastructure. Additionally, whole-of-government approaches to infrastructure, including the Justice40 Initiative, mimic elements of process management that support exploitative rather than exploratory innovation. These and other policies risk creating innovation traps that limit analytical and engineering advances necessary to prioritize equity in decision-making, identification and disruption of mechanisms that cause or contribute to inequities, and remediation of historic harms. Here, we propose a three-tiered framework toward equitable and resilient infrastructure through restorative justice, incremental policy innovation, and exploratory research innovation. This framework aims to ensure equitable access and benefits of infrastructure, minimize risk disparities, and embrace restorative justice to repair historical and systemic inequities. We outline incremental policy innovation and exploratory research action items to address and mitigate risk disparities, emphasizing the need for community-engaged research and the development of equity metrics. Among other action items, we recommend a certification system-referred to as Social, Environmental, and Economic Development (SEED)-to train infrastructure engineers and planners and ensure attentiveness to gaps that exist within and dynamically interact across each tier of the proposed framework. Through the framework and proposed actions, we advocate for a transformative vision for equitable infrastructure that emphasizes the interconnectedness of social, environmental, and technical dimensions in infrastructure planning, design, and maintenance.

Vanuatu is located within the Pacific Ring of Fire, known for its intense tectonic activity. The country is highly vulnerable to natural disasters, affecting about 12% of the population and causing an average loss of 42.8% of GDP. Internal displacement of population is one of the elements of the strategy to adapt to the consequences of climate change and natural disasters. This article, based on government documents and legislative acts, examines the national policy of the Republic of Vanuatu on climate change and natural disasters, analyzing it to highlight relevant aspects for Ukraine that, after critical reflection and thorough study, should be considered when developing appropriate legislation in Ukraine. It was found that the basis of this policy consists of the following documents: «National Sustainable Development Plan for 2016-2030», «Vanuatu Climate Change and Disaster Risk Reduction Policy for 2016-2030», «National Adaptation Program of Action», «Disaster Risk Management Act No. 23 of 2019», «Meteorology, Geological Hazards and Climate Change Act No. 25 of 2016», «Vanuatu's Revised and Enhanced 1ST Nationally Determined Contribution», «National Policy on Climate Change and Disaster-Induced Displacement». From the perspective of legal support for the rights of displaced persons and the regulation of this process, the most important act is the «National Policy on Climate Change and Disaster-Induced Displacement», which ensures the functioning of institutions involved in planning potential emergencies and combating their consequences, in cooperation with the government of Vanuatu to meet the needs of all affected displaced communities and host communities, including different types of displaced persons: controlled displaced, internal migrants, residents of informal settlements, as well as those threatened with displacement. It is noted that displacement occurs in accordance with international law, with mandatory adherence to fundamental human rights. Considering the limited possibilities for population displacement due to the geomorphological structure of the islands of the Republic of Vanuatu, the efforts of the government of the country are concentrated on disaster prevention and climate change control measures. This is the focus of other important foundational documents of national environmental policy, the analysis of which indicates the construction of a successful system of state management of processes, synergy between the public sector and non-governmental organizations involved, and innovative methods of economic reform. The reviewed documents address a wide range of problems caused by climate change, containing solutions that are undoubtedly useful for legislators, politicians, and executive authorities of many countries, including Ukraine. [ABSTRACT FROM AUTHOR]

The article is devoted to the study of legislation in the sphere of adaptation of agricultural production to climate change. It is noted that the implementation of this type of activity is not only related to environmental pollution, but also directly depends on favorable climatic conditions. It is stated that the norms that regulate relations in the sphere of adaptation of agricultural production to climate change in Ukraine are contained in various legal acts, mostly of a strategic or conceptual in nature. Sometimes their norms are inconsistent and contradictory. There is no mechanism for the implementation of the measures established in these documents. So, their implementation becomes optional. In particular, the Recommendations on the adaptation of agriculture to climate change for the period up to 2030, which are provided by the Action Plan for the Implementation of the Realization Concept of State Policy in the Sphere of Climate Change for the Period up to 2030, approved by the Decree of the CMU of December 6, 2017 № 878-p, are unadopted. It is claimed that for solving the problem of adaptation of agriculture to climate change, it is especially important to increase the role of organic production as an activity that contributes to sustainable development of rural areas and solving a number of social problems. Because organic production is one of the most common direction of climate smart agriculture, it is proposed to put Consept of this one on basis of the legislation about adaptation of Ukrainian agricult ure to climate change. Taking into account the significant negative impact of agricultural production to the environment, we propouse to provide agriculture among the main sources of greenhouse gas emissions (industry, energy and transport) into the Ukrainian Law of February 28, 2019 «About the Basic Principles (Strategy) of the Ukrainian State Environmental Policy for the Period up to 2 030» (part I) [ABSTRACT FROM AUTHOR]

Climate change adaptation is critically important for communities in the Global South, especially for those depending on climate-sensitive resources for their livelihoods, such as pastoralist communities. Land is a key asset for the ability of such communities to adapt. However, our understanding of the ways in which pastoral adaptation strategies develop under different land tenure systems – and how such strategies shape local land tenure systems – remains limited. This article conceptualises the relationship between local climate change adaptation strategies and land tenure and examines how adaptation strategies develop under communal and private tenure systems in southern Kenya. The article draws on primary data from a household survey (n = 160) and in-depth qualitative interviews in Kajiado County, Kenya, where Maasai pastoralists are adapting under both communal and private land tenure systems. We find that adaptation strategies vary with the different land tenure systems and we show how the tenure systems shape and are shaped by local adaptation strategies. We further find that wealth and social status influence the ability of households to benefit from and influence land tenure systems. The article contributes to our knowledge on autonomous local climate change adaption by adding insights on the role of land tenure as an important contextual factor. It further highlights the role of pastoralists’ agency as they develop their adaptation strategies and adjust livelihoods beyond livestock and mobility, and how this interacts with communal and private land tenure. [ABSTRACT FROM AUTHOR]

Mesoscale convective systems (MCSs) are pivotal in global energy/water cycles and typically produce extreme weather events. Despite their importance, our understanding of their future change remains limited, largely due to inadequate representation in current climate models. Here, using a global storm‐resolving model that accurately simulates MCSs, we conclude contrasting responses to increased SST in their occurrence, that is, notable decreases over land but increases over ocean. This land‐ocean contrast is attributed to the changes in convective available potential energy (CAPE) and convective inhibition (CIN). Over land, notable rises in CIN alongside moderate increases in CAPE effectively suppress (favor) weak to moderate (intense) MCSs, resulting in an overall reduction in MCS occurrences. In contrast, substantial increases in CAPE with minimal changes in CIN over ocean contribute to a significant rise in MCS occurrences. The divergent response in MCS occurrence has profound impacts on both mean and extreme precipitation. Plain Language Summary: Mesoscale convective systems (MCSs) account for more than half of tropical total rainfall and are the primary drivers of extreme rainfall and flooding events. However, understanding how the frequency of these systems will change in a warming climate remains a challenge. This is due to both the incomplete representation of these disturbances in global climate models and a lack of fundamental theory to explain their dynamics. In this study, we employ a global storm resolving model to shed light on the response of tropical MCS occurrences to climate warming. What emerges is a striking contrast: MCSs over tropical land are projected to decrease in frequency, while their occurrence over tropical oceans is anticipated to rise. This difference is linked to the relative changes in convective available potential energy and convective inhibition. The divergent response in MCS occurrences has significant implications for both average and extreme precipitation patterns. As a result, it presents challenges for developing regional climate adaptation and mitigation strategies in the face of a warming climate. Key Points: A global storm resolving model is employed to study the response of global mesoscale convective systems (MCSs) to a warming climateTropical MCS occurrence exhibits divergent responses to increased SST, declining over land while increasing over the oceanThis land‐ocean contrast is attributed to the changes in convective available potential energy and convective inhibition, on MCSs [ABSTRACT FROM AUTHOR]

Understanding the molecular mechanisms of thermal adaptation is crucial to predict the impacts of global warming. However, there is still a lack of research on the effects of rising temperatures over time and of studies involving different populations from the same species. The present study focuses on these two aspects, which are of great importance in understanding how organisms cope and adapt to ongoing changes in their environment. This study investigates the impact of global warming on the gene expression patterns of Drosophila subobscura populations from two different latitudinal locations after 23 generations of evolution. Our results indicate that evolutionary changes depend on the genetic background of the populations, with different starting points for thermal evolution, and that high‐latitude populations show more pronounced evolutionary changes, with some evidence of convergence towards low‐latitude populations. We found an interplay between plasticity and selection, with the high‐latitude population showing fewer initial plastic genes and lower levels of adaptive plasticity, but a greater magnitude of change in both plastic and selective responses during evolution under warming conditions compared with its low‐latitude counterpart. A substantial proportion of the transcriptome was observed to be evolving, despite the lack of observable response at higher‐order phenotypic traits. The interplay between plasticity and selection may prove to be an essential component in shaping species' evolutionary responses to climate change. Furthermore, the value of conducting studies on multiple populations of the same species is emphasised, given the identification of differences between populations with different backgrounds in several contexts. [ABSTRACT FROM AUTHOR]

• A method is devised to enable the quantitative assessment of precipitation precision among GCMs. • GCP6 demonstrates benefits in simulating precipitation probability, correlation, extreme values, and spatial variability. • Significant variations in the precision of precipitation simulations are evident across models, especially the CP6 models. • The top-ten models are selected for providing suitable rainfall simulations in the Hanjiang River Basin. To effectively compare and analyze daily precipitation modeling capabilities across different CMIP6 datasets, our study introduces a novel method to compare daily precipitation models across CMIP6 datasets in the Hanjiang River Basin (HRB). We quantify indicators such as precipitation distribution, temporal correlation, wet-dry detection, extreme value error, and spatio-temporal variability, enabling a comprehensive rating of precipitation accuracy. It has been found that while both CMIP6(CP6) and NEX-GDDP-CMIP6 (GCP6) models show similar simulation accuracy, GCP6 excels in several aspects like distribution, temporal correlation, extreme value simulation, and spatial variability, yet lags in wet-dry detection and temporal change. Notably, using the comprehensive rating score (CRS) analysis, significant differences in precipitation simulation accuracy exist between models, particularly CP6, with variations of up to 0.22 (51.2%) between the highest and lowest scores. Among the top ten models, GCP6 occupies four positions such as MRI-ESM2-0, GFDL-CM4, MPI-ESM1-2-HR, and TaiESM1, while CP6 holds the remaining six like CanESM5, EC-Earth3-Veg, MPI-ESM1-2-HR, GFDL-CM4, MRI-ESM2-0, and IPSL-CM6A-LR. These findings not only offer a clear understanding of the simulation performance of CMIP6 datasets across various precipitation characteristics, but also quantitatively compare the modeling capabilities of different models for watershed precipitation through CRS. This aids climate adaptation research, hydrological forecasting, and flood management in the basin. [ABSTRACT FROM AUTHOR]

ABSTRACT Climate extreme events are intensifying globally, posing increasing risks across various sectors. Understanding climate extremes' spatiotemporal patterns and responses to climate change is crucial for effective management, especially on a regional scale. This study examines temperature and precipitation extremes, as well as compound dry‐hot events (CDHEs), in the Ishikari River basin (IRB) of Northeastern Japan, an area of significant socioeconomic importance. We focus on spatiotemporal analysis under multiple scenarios of temperature/precipitation extremes and CDHEs based on statistical downscaled datasets from the Coupled Model Intercomparison Project Phase 6. Results indicate that IRB underwent increased trends of extreme hot periods, extreme droughts, and heavy rainfalls during 1985–2014, which are significantly affected by the North Pacific Oscillation and Southern Oscillation Index. Future projections show that warming temperatures and less rainfall shift asymmetrical impacts on temperature and precipitation extremes, expecting increased warm spells and CDHEs but increased wet durations and less heavy rainfalls. Emission scenarios analysis suggests low‐emission scenarios (SSP1‐2.6) could mitigate their exacerbations, especially for CDHEs (decreased by 139%). Moreover, spatial‐pattern analysis reveals regional heterogeneity in temperature and precipitation extremes, with northern mountainous regions more susceptible to thermal extremes and southern plain regions (e.g., Sapporo city) experiencing prolonged drought and CDHEs. This study provides valuable insights into climate risk management and adaptation strategies. [ABSTRACT FROM AUTHOR]

A fundamental goal in ecology and evolution is to explain the factors that shape species' abundance and range limits. Evaluating the performance of early life‐stages across an altitudinal gradient can be valuable for understanding what factors shape range limits and for predicting how plant species may respond to climate change. To experimentally evaluate the presence of local adaptation in a threatened palm (Euterpe edulis) at early life‐stages, we reciprocally sowed seeds at two contrasting elevations. In addition, to evaluate the effect of seed predation on E. edulis seed germination and seedling establishment, seed addition experiments were conducted at three different elevations. Our results showed no evidence of local adaptation in the early life‐stages for the two E. edulis populations. We observed lower germination and seedling performance of both E. edulis populations at the low‐elevation site. The exclusion of seed predation increased seedling establishment across all elevations. Seed predation and dry soil conditions were the main factors that constrained seedling establishment at the upper altitudinal limit and at the lower elevation, respectively. Climate change in the study area will result in warmer and drier environmental conditions. The lack of local adaptation and the lower performance of both E. edulis populations in warm and dry conditions, combined with a higher seed predation at the upper altitudinal limit, might cause an altitudinal range contraction, increasing the vulnerability of this threatened species to climate change. [ABSTRACT FROM AUTHOR]

Sustainable intensification of livestock systems implies greater efficiency in resource utilization resulting in greater output of products and other ecosystem services per unit of resource input. Integrating forage legumes into livestock systems is a viable way to reduce the input of industrial N fertilizer, reducing the use of fossil fuels and helping to mitigate global warming, a major problem during the Anthropocene. Some forage legumes have greater concentrations of secondary compounds, such as condensed tannins, that might reduce the emission of greenhouse gases (GHG) from ruminant eructation and excreta. Furthermore, forage legumes might enhance cattle performance because of greater nutritive value, resulting in greater production per unit of GHG released. Shortening the production cycle and improving cattle reproductive efficiency could have a major impact on reducing the overall carbon footprint of the system. Grazing systems with more diversified plant species are typically more resistant and resilient, adapting to current climate changes during the Anthropocene. Novel technologies might accelerate the development of future grazing systems using forage legumes as a key component. Breeding efforts for the next‐generation legumes must focus on adaptation and potential use for mitigation of negative environmental impacts. There are examples of successful integration of forage legumes into livestock systems in different regions of the world, with a major reduction in off‐farm inputs and maintaining the system productive. These successful examples could be used to increase adoption and improve the efficiency of current livestock systems. [ABSTRACT FROM AUTHOR]

Climate change governance presents challenges and most of the responsibility for it is offloaded to local governments often ill‐equipped to deal with it. In Canada, where climate extremes are on the rise, regional adaptation governance structures have emerged as an avenue for more efficient adaptation. Governance at this scale has the potential to mutualize expertise and means, to involve local population, and favour a vertical integration of the adaptation process. From selected examples of regional collaboration on climate change adaptation, in this short viewpoint paper, we identify some factors favouring such initiatives. The presence of “boundary organizations” such as research centres or non‐governmental organizations that can act as catalysts, is a predictor in all our cases and has been proposed in literature before. Funding opportunities can of course offer a strong incentive for various actors to get together. Other factors such as geographical or cultural particularities can shape communities’ response to the stress of climate change. More research should be led into understanding these factors and translate them into policies favouring the emergence of regional adaptation instances, especially in rural coastal zones, in Canada. [ABSTRACT FROM AUTHOR]

Climate change threatens agricultural sustainability, especially water resource management. This study comprehensively analyses how climate change impacts irrigation water needs in India's vital Girna command area, which lies in a semi-arid region, where a decision support tool with climate scenario analysis was integrated, incorporating five different climate models with region-specific agricultural data to evaluate future irrigation demands under various climate change scenarios. The maximum and minimum temperatures will rise under two representative concentration pathways (RCP) scenarios, with RCP 8.5 projecting a more significant increase than the RCP 4.5 scenario. Reference evapotranspiration (ETo) will also increase compared to the base period, reaching its maximum in May and minimum in December across all climate models. However, crop water requirements should remain stable or slightly decrease, with a maximum occurring in October and a minimum in March across all climate models. Depending on the climate model and RCP scenario, maximum effective precipitation will vary and most likely occur in July. Maximum gross irrigation requirements may decrease under RCP 8.5 for the base period, particularly in November. These findings significantly impact agricultural planning, water management, and climate change adaptation strategies. This study can assist stakeholders in making informed decisions for sustainably managing water resources in the Girna command area and beyond. [ABSTRACT FROM AUTHOR]

Since the mid-twentieth century, warming in mountain regions has outpaced the global rate, with important regional implications for snowpacks and the ski industry. Recent climate litigation by communities in the State of Colorado signals the need to assess how observed changes in climate may have damaged the ski industry. This study presents a novel application of the SkiSim2.0 ski operations model at 226 ski areas across 4 US regional ski markets to assess what the ski industry could have looked like if post-1970s anthropogenic climate change had not occurred. Relative to 1960–1979, modelled average ski seasons (with snowmaking) in the 2000–2019 period have shortened between 5.5 and 7.1 days. National direct economic losses associated with lost skier visits and increased snowmaking costs are estimated at US$252 million annually. For the 2050s, regional ski seasons are projected to shorten between 14–33 days (low emissions) and 27–62 days (high emissions). The associated national direct economic losses range from US$657 to 1352 million annually. Climate change is an evolving business reality for the US ski industry. The economic damage already done is clear and the extent of future damages is dependent on the success of Paris Climate Agreement. [ABSTRACT FROM AUTHOR]

The complex and dynamic interactions between fungi and plants constitute a critical arena in ecological science. In this comprehensive review paper, we explore the multifaceted relationships at the fungi-plant interface, encompassing both mutualistic and antagonistic interactions, and the environmental factors influencing these associations. Mutualistic associations, notably mycorrhizal relationships, play a pivotal role in enhancing plant health and ecological balance. On the contrary, fungal diseases pose a significant threat to plant health, agriculture, and natural ecosystems, such as rusts, smuts, powdery mildews, downy mildews, and wilts, which can cause extensive damage and lead to substantial economic losses. Environmental constraints encompassing abiotic and biotic factors are elucidated to understand their role in shaping the fungi-plant interface. Temperature, moisture, and soil conditions, along with the presence of other microbes, herbivores, and competing plants, significantly influence the outcome of these interactions. The interplay between mutualism and antagonism is emphasised as a key determinant of ecosystem health and stability. The implications of these interactions extend to overall ecosystem productivity, agriculture, and conservation efforts. The potential applications of this knowledge in bioremediation, biotechnology, and biocontrol strategies emphasise the importance of adapting to climate change. However, challenges and future directions in this field include the impacts of climate change, emerging fungal pathogens, genomic insights, and the role of the fungi-plant interface in restoration ecology. Hence, this review paper provides a comprehensive overview of fungi-plant interactions, their environmental influences, and their applications in agriculture, conservation, and ecological restoration. Symbiotic and pathogenic interactions at the fungi-plant interface under environmental constraints (Chang et al., 2018). [ABSTRACT FROM AUTHOR]

Public support is crucial for mitigating and adapting to the effects of climate change. Civil Society Organizations (CSOs) play a significant role in normative governance aimed at influencing attitudes and mobilizing citizens to take action. Civil society organizations (CSOs) use digital media to this purpose. The framing of information presented by CSOs has been shown to shape how people perceive and respond to it. This paper aims to examine how cognitive or topical framing and moral foundational framing interact in predicting public engagement with CSOs’ communication about climate change on Facebook. To this end, several computational methods – including topic modeling, semantic network analysis, and automatic text processing based on a Moral Foundations dictionary – are combined, using data gathered on Facebook. The results of the empirical analysis reveal that CSOs use different topical frames and moral foundations in order to influence policymakers and mobilize citizens. CSOs elicit most engagement on Facebook when they combine a “Climate mobilization” topical frame with the moral foundations of care and fairness pertaining to the ethics of autonomy. [ABSTRACT FROM AUTHOR]

The real estate sector is significantly impacted by climate change, with effects ranging from increasing risks of flooding and wildfires to shifting demand for certain types of property. These impacts influence insurance prices, property maintenance procedures, and the overall desirability of specific homes. While climate risk is acknowledged in the financial industry, its implications for the commercial and residential real estate sector are mostly studied in developed countries, with limited research in developing countries like Nigeria. This study attempts to fill this gap by exploring the potential impacts of climate change on residential properties in Lagos State, Nigeria, using Wemabod properties as a case study. The methodology involved analyzing primary data collected from residents of Wemabod Estate, Ikeja, Lagos, Nigeria, with purposive sampling used to recruit 100 participants due to absence of reliable census data. Data analysis was conducted using mean rank, t-test, and analysis of variance (ANOVA). Findings showed that most respondents demonstrated a good level of awareness about climate change. Analysis revealed that residential characteristics such as age, gender, level of education, and knowledge level of climate risk significantly influenced residents' climate change coping and adaptation strategies, with notable mean differences in knowledge and perception based on these factors. The major perceived effects of climate change included extreme heat and flooding, followed by strong winds and irregular rainfall, leading to property impacts such as peeling paint, wall cracks, roof leakage, foundation shake, and burst pipes. These findings indicate that extreme heat and flooding are the primary climate change manifestations affecting residential properties in Lagos State. Property owners should implement measures to protect against these effects, regularly inspect and maintain their properties, consider climate risk in their insurance and maintenance plans, and stay informed about climate change impacts. This study underscores the need for further research on climate change's impact on real estate in developing countries to better understand and mitigate these risks. [ABSTRACT FROM AUTHOR]

This community case study explores how Kīpuka Kuleana, a Native Hawaiian women-led community-based land trust, revitalizes relationships between people and ʻāina (lands and waters) to perpetuate cultural practices that build climate resilience in Kauaʻi, Hawaiʻi. We demonstrate that ancestral land protection is foundational to climate change mitigation and adaptation efforts on Kauaʻi, an isolated rural island in the Pacific Ocean increasingly vulnerable to flooding and landslides, sea level rise, and other climate-related impacts. Kīpuka Kuleana strives to keep kupa ʻāina ʻohana (long-time families)—the anchors of community who care for, teach from, and maintain balance in their fragile environments—rooted to their homes amidst increasing gentrification, land dispossession, and climate-related disasters. Through our interwoven programs, we return lands to communities and communities to lands, a reciprocal process known as ʻāina hoʻi, to restore access to ʻāina for collective caretaking, place-based education, and spiritual rejuvenation. Our land trust partners with Indigenous and allied groups in Hawaiʻi, Louisiana, California and Borikén (Puerto Rico) to share learnings tied to land protection, disaster resilience, adaptation, and rematriation, or the restoration of relationships between Indigenous people and ancestral lands. We offer some of those lessons to illustrate how Indigenous-led community-based land trusts and stewardship efforts forge new possibilities for adapting in place and cultivating more connected, resilient ecosystems stewarded under Indigenous leadership, in alignment with the "Land Back" movement. [ABSTRACT FROM AUTHOR]

Beef production is a major contributor to greenhouse gas (GHG) emissions and has therefore been placed at the center of global policy and research agendas on climate change mitigation and adaptation. However, detailed quantification of the intensity of beef's contribution to emissions has mostly focused on the farm level. This research uses the calculation of a food miles emissions indicator to analyze the Colombian beef supply network from slaughterhouses to national consumption centers and its emissions between 2019 and 2022, including a network analysis and weighted average source distance (WASD) estimation. The results were compared with emissions from the transport of alternative animal proteins, specifically chicken and pork. The results show that the beef miles emissions indicator in Colombia is equivalent to 0.055330 kg CO2eq/ton of beef/km, which is higher than pork and chicken. These findings highlight the need to develop comprehensive approaches and strategies to reduce emissions from beef production, recognizing the critical role that the beef supply network, transport distances, infrastructure, and technology play in beef-related emissions. [ABSTRACT FROM AUTHOR]

Introduction: Adaptation to climate change (ACC) is imperative to avoid deleterious consequences of climate change in agriculture. However, the uptake of adaptation measures has been slow among farmers because of low adaptive capacity (AC) in developing countries, particularly in Pakistan. Farmers and their supporting institutions have been successful in introducing technological innovations to respond and adapt to environmental challenges. The present study intended to determine the impact of farming technologies, along with human, financial, social, physical, natural, and climate information resources that support AC and hence ACC. Methods: The study collected data from 360 farmers in Punjab through a multi-stage random sampling technique. A binary logit model and odds ratio were used to identify the factors affecting ACC. The study also utilized correlation tests to show the correlation between each pair of variables included in the analysis. Results: The results indicated that physical capital such as ownership of tube wells, transportation, and sowing and harvesting tools by the farmers builds farmers' AC and consequently determines the ACC such as change crop variety (CCV), change crop type (CCT), change planting date (CPD), soil conservation (SC), water conservation (WC), and diversification strategies (DSs). The findings also revealed that human capital (age, education, family size, and labor), financial capital (off-farm employment, access to the marketing of produce, and agricultural credit), social capital (farmers-to-farmers extensions, access to extension services, and the farm association membership), and natural capital (land ownership, tenancy status, and the location of the farm) were importantly related to farm households' ACC strategies. The odds (likelihood) of adaptation were higher for the users of farm technology as compared to non-users. Discussion: The analysis conducted in this study showed that climate information resources amplify the adaptation to climate change: technology allows farming to be much more efficient, while climate change knowledge (CCK) self-motivates farmers to adopt more ACC measures. Our findings provide evidence that suggests the need to provide credits and financial support for farming technologies that speed up the ACC in the long run, while in the short run, climate information should be spread among farming communities. [ABSTRACT FROM AUTHOR]

The article discusses the political context of countering climate change in Southeast Asia, highlighting the region's vulnerability to climate change impacts. Despite acknowledging the importance of climate change mitigation and adaptation measures, Southeast Asian states have been slow to respond effectively due to economic priorities and geopolitical complexities. The article argues that the region's focus on economic development and security concerns has hindered significant progress in addressing climate change, leading to a lack of robust investment in renewable energy resources. Additionally, the voluntary nature of climate targets within ASEAN member states further complicates coordinated efforts to combat climate change in the region. [Extracted from the article]

Wheat (Triticum aestivum L.) is one of the most significant crops and the backbone of food security worldwide. However, low wheat production remains a substantial concern in global agricultural systems. It can be attributed to several factors, including adverse climatic conditions, plant disease and poor soil quality. Recent efforts have explored bioinoculant applications as a promising approach to enhance wheat yield, trying to mitigate constraints essential for future wheat production and global food security. This study tested talc powder, wheat biochar, sugarcane bagasse biochar, and farmyard manure as carriers with two endophytic bacterial strains, Burkholderia phytofirmans PsJN and Bacillus spp. MN54 was applied to three wheat varieties (Ujala-16, Zincol-16, and Fathejang-16). The data was recorded at the seedling and maturity growth stages of plants. A pot experiment revealed significant improvements in plant growth following bioinoculant application compared to controls. Notably, the combination of sugarcane bagasse biochar with Bacillus sp. MN54 exhibited the most pronounced effects, promoting internodal length, spike length, tiller number per plant, grain yield per plant, and spikelets per spike. Additionally, talc powder with Bacillus sp. MN54 increased peduncle length, tiller number per plant, and spike length in Fathejang-16. These findings offer valuable insights into optimizing bioinoculant formulations for improved agricultural practices, adapting to climate change, and contributing to ensuring global food security. [ABSTRACT FROM AUTHOR]

Climate warming is driving changes in species distribution, but habitat characteristics can interact with warming temperatures to affect populations in unexpected ways. We investigated wintering waterbird responses to climate warming depending on habitat characteristics, with a focus on the northern boundary of their non‐breeding distributions where winter climatic conditions are more extreme. At these Nordic latitudes, climate warming is expected to drive positive changes in species occurrence and abundance, with likely differences in species‐specific responses. We analyzed the occurrence and abundance of 18 species of waterbirds monitored over 2,982 surveys at 245 inland wetlands over a 25‐year period in Sweden. We used hierarchical modeling of species communities (HMSC) which enabled us to relate species‐specific changes to both functional traits and phylogenetic relatedness. We investigated occurrence and abundance changes in response to average temperature, temperature anomalies, site area, site protection status (Natura 2000), and land use in agricultural and urban surfaces. Unsurprisingly, both average temperatures and temperature anomalies were the most important variables influencing positively waterbird occurrence and abundance. For 60% of the species, the effect of temperature anomalies was even stronger in large or protected wetlands. Geese and mallard occurred more often at sites surrounded by agricultural and urban surfaces, respectively, but their occurrence in these habitats was not affected by interactive effects with climate warming. Species abundance was greater inside protected areas only for 11% of the species, but occurrence probability was higher inside protected areas for 44% of the species. Overall, we observed that species thermal affinity was a strong predictor for positive species response to temperature anomalies, and that species sharing similar phylogenetic history had similar relationships with environmental variables. Protection of large wetlands and restoration of the surrounding habitats are two targets for climate change adaptation strategies to facilitate future responses of waterbirds to climate warming. [ABSTRACT FROM AUTHOR]

The sub-Saharan Africa region continues to experience food insecurity, a consequence of the less productive agricultural sector that has dragged to adapt to the effects of climate change. As the region's population continues to grow, there is a need to modernize the region's agricultural sector to meet the increasing food demand. Although extreme atmospheric conditions cannot be entirely mitigated, however, the integration of technologies such as the Internet of things (IoT) and machine learning (ML) can increase the quantity and quality of production from the crop fields. These technologies have the potential to empower agricultural management systems to handle both climatic and farm data in an orchestrated manner, and inform the formulation of effective strategies. This study presents the design and development of a system for predicting crop yields that integrates IoT and ML. The system combines historic and current weather and crop yield data to predict seasonal crop yields. The weather parameters including, rainfall, temperature, humidity and soil moisture are collected by IoT sensors and transmitted to the cloud for crop yield forecasting. The system is used to analyze seasonal yields of Irish-Potato and Maize in Musanze District of Rwanda. Using data over different agricultural seasons, the system achieved favorable predictive accuracy with mean absolute percentage error (MAPE) values of 0.339, 0.309, and 0.177 for two seasons of Irish potatoes and one season of maize, respectively. Such predictive yield systems can reduce food insecurity risks and enhance harvest efficiency by enabling early awareness of crop production, fostering effective strategies shared among decision-makers and stakeholders. While maize and Irish potatoes were the initial case studies, expansion to include other crops and more variables is envisioned. [ABSTRACT FROM AUTHOR]

Diffusion has become both an important concept for studying policy spread and a popular governance approach, particularly where direct coercion is unavailable or undesirable. However, the prevailing mechanism‐centered concept is difficult to measure and poorly captures the governance potential of policy diffusion. To address these issues, this article presents a new channel‐centered framework that distinguishes between six soft policy diffusion channels: autonomous, collaborative, exemplary, persuasive, organized, and funded diffusion. The framework is probed by studying local climate change adaptation policy using original survey data collected from the administrations of 190 municipalities located in the central German state of Hessen. The regression results indicate that the local institutionalization of adaptation in Hessen is associated with several interventions by higher levels of government, including the provision of a policy model, a municipal climate network, and grant programs. However, the density of concrete adaptation measures is associated with noninstitutionalized exchanges between municipalities. External grants are also found to be more effective in institutionalizing adaptation in larger municipalities. These results demonstrate the usefulness of the framework for distinguishing and comparing different diffusion channels and suggest that different types of interventions may be required to effectively support adaptation policy development at the local level. [ABSTRACT FROM AUTHOR]

Climate change is increasing mean temperatures, and intensifying heatwaves. Natural populations may respond to stress through shorter-term acclimation via plasticity and/or longer-term inter-generational evolution. However, if the pace and/or extent of thermal change is too great, local extinctions occur; one potential cause in ectotherms is identified to be the heat-liability of male reproductive biology. Recent data from several species, including the beetle Tribolium castaneum , confirmed that male reproductive biology is vulnerable to heatwaves, which may constrain populations. However, such reproductive-damage may be overestimated, if there is potential to adapt to elevated mean temperatures associated with climate change via evolution and/or acclimation. Here, we tested this to evaluate whether pre-exposures could improve heatwave tolerance (adaptation or acclimation), by experimentally evolving Tribolium castaneum populations to divergent thermal regimes (30 °C vs. 38 °C). Findings across assays revealed that relative to 30 °C-regime males, males from the 38 °C regime, maintained constantly at 8 °C warmer for 25 generations, displayed an increase; (i) in post heatwave (42 °C) reproductive fitness by 55%, (ii) survival by 33%, and (iii) 32% larger testes volumes. Unexpectedly, in the acclimation assay, warm-adapted males' post-heatwave survival and reproduction were best if they experienced cool developmental acclimation beforehand, suggesting a cost to adapting to 38 °C. These results help progress knowledge of the potential for survival and reproduction to adapt to climate change; trait specific adaptation to divergent thermal regimes can occur over relatively few generations, but this capacity depended on the interaction of evolutionary and thermal acclimatory processes. [ABSTRACT FROM AUTHOR]

The article "Climate and development: What opportunities, what threats?" from the Development Policy Review discusses the intersection of climate change and development, highlighting both opportunities and threats. It emphasizes the importance of integrating climate change considerations into development agendas, focusing on fairness, justice, and practical matters such as hard budgets and energy transitions. The text also addresses the need for a paradigm shift in climate finance, moving away from traditional mechanisms like concessional lending and ODA towards sustainable investments and regulatory changes to incentivize private sector engagement. The article underscores the interconnectedness of climate and development priorities and the urgency of addressing structural power imbalances within the financial system to effectively combat climate change and promote sustainable development globally. [Extracted from the article]

Tropical cyclones (TC) are dynamic atmospheric phenomena featuring extreme low-pressure systems and powerful winds, known for their devastating impacts on weather and the environment. The main purpose of this paper is to consider the subtle involvement of TCs in the air quality index (AQI), focusing on aspects related to the air quality before, during and after cyclones. This research employs multimodal methods, which include meteorological data and different satellite observations. Deep learning approaches, i.e., ConvLSTM, CNN and Real-ESRGAN models, are combined with a regression model to analyze the temporal variability in the air quality associated with tropical cyclones. Deep learning models are deployed to uncover complex patterns and non-linear interdependencies between cyclones' features and the AQI to give predictive insights into the air quality fluctuations throughout the different stages of tropical cyclones. Furthermore, this study explores the aftermaths of TCs in terms of the air quality with respect to post-cyclone recovery. The findings offer an enhanced view of the role of TCs in the regional or global air quality, which will be useful for policymakers, meteorologists and environmental researchers. Utilizing a CNN for tropical cyclone (TC) classification and the extra trees regressor (ETR) for AQI prediction results in accuracy of 92.02% for the CNN and an R 2 of 83.33% for the ETR. Hence, this work adds to our knowledge and enlightens us on the complex interactions between TCs and the air quality, highlighting wider public health concerns regarding climate adaptation and urban renewal. [ABSTRACT FROM AUTHOR]

The document "Digitalization for Resilient and Sustainable Energy Transitions" discusses the impact of the global energy crisis on the energy sector, particularly due to the COVID-19 pandemic. It highlights challenges such as disruptions in green energy technology supply chains, energy price hikes, and energy security issues in regions like Europe. The document emphasizes the role of digitalization in enabling decentralized and renewable-based energy systems as a key theme for a resilient, sustainable, and equitable energy transition. Additionally, it explores the use of artificial intelligence (AI) for energy security and the importance of decentralized energy systems in advancing renewable energy solutions. [Extracted from the article]

The article discusses the Coastal Flood Hazard Workshop held by the Scripps Institution of Oceanography in San Diego, California, focusing on advancements in predicting and evaluating coastal flood hazards in a changing climate. The workshop aimed to assess state-of-the-art methods, identify knowledge gaps, and determine future research pathways to inform community-level flood risk and adaptation planning. It highlighted advancements in both long-term flood projection models and operational forecast models, emphasizing the need to bridge scales and integrate various sources of data for accurate flood predictions. The article also addresses identified knowledge gaps and future research avenues, emphasizing the importance of sustained observations, satellite monitoring, community engagement, and interdisciplinary collaboration in improving coastal flood forecasting and mitigation efforts. [Extracted from the article]

Integrated solutions to the climate and biodiversity crises—together with other global sustainability challenges—include the identification, design and implementation of nature‐based solutions (NbS). Living organisms mediate biogeochemical cycles and greenhouse gas fluxes from land and sea, and provide NbS to both climate change mitigation and adaptation. Plants, as the primary producers in ecosystems, lie at the heart of NbS.Plant ecology provides the foundation for developing and evaluating NbS based on an understanding of the ecological processes that underlie ecosystem service flow to people. In this Special Feature, we provide a collection of mini‐reviews that presents concise and focused analysis of the plant ecology of NbS. The mini‐reviews highlight key insights, challenges and opportunities for future research.The development of NbS that target specific ecosystem functions (e.g. carbon storage), or aim at increasing ecosystem resilience against perturbations (e.g. those associated with climate change), requires unification of ecological theory from areas such as biodiversity‐ecosystem function, plant–animal interactions, resilience and functional traits of organisms.Synthesis. Plant ecology and nature‐based solutions (NbS) research are complementary. Plant ecology can inform the design and management of effective NbS, and provide insights for the creation of novel ecosystems that provide NbS; while learning from the implementation of NbS can progress theory. To deploy NbS at the speed and scale needed to mitigate and adapt to climate change, we must rapidly integrate ecological concepts into the design of NbS. At the same time, the design and deployment of NbS in different ecological contexts provides an unprecedented opportunity to learn how performances of individual NbS sites can be explained in an integrated way, leading to the development of general concepts. Ultimately, a mechanistic understanding of how plants and their functional traits contribute to ecosystem function and service provision is critical for the design, verification of benefits from and avoidance of adverse effects of NbS. [ABSTRACT FROM AUTHOR]

Mangroves are implemented as nature‐based solutions (NbS) for coastal protection, climate change mitigation (carbon sequestration) and other services. They play a core role in providing benefits for biodiversity, livelihoods and human well‐being.Ecological research has informed the use of mangroves as NbS, but failure of NbS projects has often been due to misconceptions about mangrove ecology and the limited use of the wide range of ecological knowledge available.Enhanced knowledge of the spatial and temporal variation in ecological processes, and differentiation among mangrove tree species and assemblages (including fauna and microbial communities) in the provision of ecosystem functions and services, will support successful use of mangroves as NbS.Knowledge of mangrove responses to the interacting pressures of climate change and human uses of the coastal zone will support resilient NbS projects.Synthesis. The success of mangroves as NbS can be improved with increased incorporation of knowledge of the ecology of mangrove plants, animals and microbes and by sharing and co‐producing knowledge within mangrove societies. [ABSTRACT FROM AUTHOR]

Global interest and investment in nature‐based solutions (NbS) are rapidly increasing because of the potential of this approach to concurrently counter biodiversity loss, provide cost‐effective measures for climate change adaptations, and maintain natural processes that underpin human health and wellbeing.Recognition is growing that grasslands in many regions will protect carbon stores more effectively than forests in the warmer, drier, more fire‐prone conditions of the future while also serving as hotspots for biodiversity. Yet grasslands have received less attention for their NbS potential. Despite the wide‐ranging goals of this approach, many investments in nature‐based solutions also have focused narrowly on using plants to meet climate pledges, often without considering plant interactions with herbivores and the abiotic environment that jointly control ecosystem functioning and underpin the success of nature‐based solutions.Here, we review the roles that large and small vertebrate and invertebrate herbivores play in the ability of the world's grasslands to provide nature‐based solutions, with a focus on wild herbivore impacts on biodiversity and carbon storage.Synthesis. Planning for nature‐based solutions with a holistic, ecologically informed view that includes the role of herbivores and their interaction with plants and the environment will allow NbS investments to more likely achieve successful, sustainable outcomes. [ABSTRACT FROM AUTHOR]

The 13th Nordic Symposium on Building Physics (NSB 2023) was held at Aalborg University in Denmark, attracting participants from around the world to discuss topics such as heat, air, and moisture transport in buildings, energy performance, and indoor environmental quality. The conference featured keynotes, paper presentations, and workshops, with selected papers published in the Journal of Building Physics. Notable research topics included using Nuclear Magnetic Resonance to measure moisture distribution in building materials and investigating air entrapment effects on water transfer in porous materials. [Extracted from the article]

A dual approach is an effective method for formulating climate change adaptation measures. It combines both a top-down approach, whereby plans are formulated based on climate change projections, and a bottom-up approach, in which plans are formulated based on the situation in the target region. I analyse Japan's advanced measures and a development case in Timor-Leste, where some level of adaptation effectiveness is expected. In Timor-Leste, the inadequacy of scientific data makes the top-down approach difficult, but the bottom-up approach based on thorough field surveys can promote climate-resilient development which can be expected to have high adaptation effects in such circumstances. To achieve this, it is necessary to complement scientific data with available data, further strengthen the current system in which each actor thinks independently and works and collaborates with others, and train facilitators who can understand scientific data. [ABSTRACT FROM AUTHOR]

The seasonal timing of life history transitions is often critical to fitness, and many organisms rely upon environmental cues to match life cycle events with favorable conditions. In plants, the timing of seed germination is mediated by seasonal cues such as rainfall and temperature. Variation in cue responses among species can reflect evolutionary processes and adaptation to local climate and can affect vulnerability to changing conditions. Indeed, climate change is altering the timing of precipitation, and germination responses to such change can have consequences for individual fitness, population dynamics, and species distributions. Here, we assessed responses to the seasonal timing of germination‐triggering rains for eleven species spanning the Streptanthus/Caulanthus clade (Brassicaceae). To do so, we experimentally manipulated the onset date of rainfall events, measured effects on germination fraction, and evaluated whether responses were constrained by evolutionary relationships across the phylogeny. We then explored the possible consequences of these responses to contemporary shifts in precipitation timing. Germination fractions decreased with later onset of rains and cooler temperatures for all but three Caulanthus species. Species' germination responses to the timing of rainfall and seasonal temperatures were phylogenetically constrained, with Caulanthus species appearing less responsive. Further, four species are likely already experiencing significant decreases in germination fractions with observed climate change, which has shifted the timing of rainfall towards the cooler, winter months in California. Overall, our findings emphasize the sensitivity of germination to seasonal conditions, underscore the importance of interacting environmental cues, and highlight vulnerability to shifting precipitation patterns with climate change, particularly in more northern, mesic species. [ABSTRACT FROM AUTHOR]

The article discusses the thermal adaptation strategies of desert locusts in the Sahara Desert, focusing on mate-guarding behavior that helps ovipositing females avoid overheating in extremely hot conditions. Male locusts act as parasols for females by mounting them during daytime oviposition, reducing their body temperatures significantly. This mate-guarding behavior may serve as a defensive strategy to cool females and expand their ecological niches. The study suggests that understanding these thermoregulatory strategies could aid in environmentally conscious pest control and help desert locusts adapt to future climate change. [Extracted from the article]

Cities are particularly vulnerable to surface water flooding. It is also well‐known that they influence local rainfall themselves, which has important implications for climate change adaptation planning for cities. At km‐scale resolution, convection‐permitting climate models (CPCMs) better resolve cities and should better represent local urban temperature and rainfall modifications. However, using state‐of‐the‐art pan‐African CPCM simulations with the Met Office Unified Model (CP4), we show that for the city of Johannesburg, South Africa, this is not the case. A significant enhancement of rainfall occurs over the city compared with surrounding rural areas, which is not seen in available observations. We demonstrate this is associated with an overestimated urban heat island effect, which leads to additional triggering of rainfall. Urban signals in future rainfall change are small compared with changes in the wider surroundings, the latter of which we expect to be more reliable than in models with parameterized convection. This suggests that deficiencies in representation of urban processes are of secondary importance in terms of future percentage change in rainfall. We recommend urban planners apply relative changes in CP4 as an uplift to observations, where available, or treat absolute future rainfall as an upper estimate if used directly. [ABSTRACT FROM AUTHOR]

Ecosystem restoration, recognized as a critical strategy for climate change adaptation and mitigation, faces significant challenges in achieving widespread implementation. A particular facet of this challenge lies in the active involvement of rural landowners. Our study aimed to understand rural landowners' perspectives, motivations, and characteristics that influence their participation in restoration projects in the Atlantic Forest of southeastern Brazil. Qualitative content analysis was conducted on 68 semi‐structured interviews with two groups of landowners: 36 who received support and 32 who did not receive project support from a local non‐governmental organization to restore native forests on their landholdings. Approximately three‐quarters of the sample are classified as smallholders (<80 ha). The main difference between the two groups is the dependence on agricultural production as the main source of income, with 22% of farmers in the supported group and 72% in the unsupported group. This socio‐economic characteristic appeared to influence the decision to restore native forest. Farmers' focus tends to be linked to rural production, and the main obstacle to restoration was the loss of productive land. They usually allow natural forest regeneration to establish on slopes. The other type of landowner (lifestylers) mainly restored land through planting of seedlings, with the main barrier being the cost of restoration. Both groups had water conservation as their main motivation for restoration. Our study shows that understanding the perspectives and motivations of the diversity of rural landowners is crucial to effectively engage them and address the socio‐economic feasibility of different restoration approaches. [ABSTRACT FROM AUTHOR]

The restoration of culturally significant landscapes poses formidable challenges given more than 160 years of settler‐colonial land use change and a rapidly changing climate. A novel approach to these challenges braids Indigenous and western scientific knowledge. This case study braids Indigenous plant knowledge, species distribution models (SDMs), and climate models to inform restoration of the Bear River Massacre site in Idaho, now stewarded by the Northwestern Band of the Shoshone Nation. MaxEnt SDMs were used to project the future spatial distribution of culturally significant plant species under medium (SSP2‐4.5) and high (SSP5‐8.5) emissions scenarios. These results support Tribal revegetation priorities and approaches, identified by tradeoffs between each species' current and future suitability. This research contributes to a knowledge‐braiding approach to the analysis of climate risks, vulnerabilities, and restoration possibilities for Indigenous‐led restoration projects by using the Wuda Ogwa ecological restoration site as a case study. [ABSTRACT FROM AUTHOR]

• Exploration of under-utilized Bambara groundnut as a potential source of protein for novel functional products. • Its isolation, characterization and utilization in food matrices also provides complete overview to enhance its functionality. • Future prospects in utilizing potential of BG proteins. Bambara groundnut (BG) is a particularly valuable underutilized crop indigenous to Africa that has gained popularity due to its high adaptation to climate change, drought tolerance and pest and disease resistance. It is chiefly cultivated as a plant-based protein alternative (containing 18–30 % protein) to meat in rural cuisines rather than an oil-producing seed, as commonly seen with other legumes. BG contains all the essential and non-essential amino acids in sufficient quantities to fulfil dietary and functional requirements in diverse food systems. This review delves into the techniques employed for the extraction/ isolation of BG proteins and their characterization. Different methods for the hydroxylation of BG proteins have been comprehensively reviewed and the relation between biological activity of BG peptides and amino acid composition has also been established. Comprehensive insights are given into the diverse techno-functional attributes of legume proteins, covering aspects like solubility, water and oil absorption capacity, emulsification, foaming, and gelling ability. The text also emphasizes the practical applications of these proteins across a range of products, viz. , bakery items, extruded snacks, therapeutic foods and desserts. New developments in BG protein research have been outlined along with recommendations for future research and applications, encouraging its widespread utilization across the food sector and facilitating a successful transition toward more sustainable plant-based diets. [ABSTRACT FROM AUTHOR]

Forestry is an important component of Canada's economy with British Columbia (BC) contributing almost half to the national roundwood production. Yet, the country's timber supply and forest economy are threatened by climate change, with increased frequency and severity of natural disturbances and changes in forest productivity. Mountain pine beetle (Dendroctonus ponderosae) outbreaks are endemic in BC, but the latest climate change-driven outbreak has resulted in a cumulative loss of over half of all merchantable pine, leading to a mid-term timber supply shortage. In this study, we investigate the potential of commercial thinning and alternative planting regimes based on species diversification and assisted species migration to mitigate the anticipated decrease in timber supply in BC. We simulated the long-term effects of these management options in a case study area in interior BC, using a toolbox that combines management- and research-oriented data and models. We found that combining commercial thinning and species diversification has the best potential to mitigate future timber supply shortages in BC. We discuss the limits of this toolbox approach and identify research needs and recommendations for future studies aiming at modelling cumulative effects of management, climate change, and natural disturbances on timber supply. [ABSTRACT FROM AUTHOR]

High-resolution urban climate projections are needed for local decision-making on climate change adaptation. Regional climate models have resolutions that are too coarse to simulate the urban climate at such resolutions. A novel statistical–dynamical downscaling (SDD) approach is used here to downscale the EURO-CORDEX ensemble to a resolution of 1 km while adding the effect of the city of Paris (France) on air temperature. The downscaled atmospheric fields are then used to drive the Town Energy Balance urban canopy model to produce high-resolution temperature maps over the period 1970–2099, while maintaining the city's land cover in its present state. The different steps of the SDD are evaluated for the summer season. The regional climate models simulate minimum (maximum) temperatures (TN/TX) that are too high (low). After correction and downscaling, the urban simulations inherit some of these biases but give satisfactory results for summer urban heat islands (UHIs), with average biases of −0.6 K at night and +0.3 K during the day. Changes in future summer temperatures are then studied for two greenhouse gas emission scenarios, RCP4.5 and RCP8.5. Outside the city, the simulations project average increases of 4.1 and 4.8 K for TN and TX for RCP8.5, respectively. In the city, warming is lower, resulting in a decrease in UHIs of −0.19 K at night (from 2.1 to 1.9 K) and −0.16 K during the day. The changes in UHIs are explained by higher rates of warming in rural temperatures due to lower summer precipitation and soil water content and are partially offset by increased ground heat storage in the city. [ABSTRACT FROM AUTHOR]