Enhance Climate Change Research Articles

A Nature-based Solutions Framework for Embedding Climate Change Mitigation and Adaptation into Urban Land Use Plans through Strategic Environmental Assessment (SEA).

Climate change impacts comprise a particular challenge for authorities when reconciling the implications of land use planning decisions. Whilst Strategic Environmental Assessment (SEA) is typically applied to the development of urban land use plans, the selection of mitigation and adaptation strategies for climate change impacts can have knock-on effects on nature. However, Nature-based Solutions (NbSs) could provide an innovative means of addressing climate change mitigation and adaptation without these knock-on effects. The main aim of this research is therefore to propose a conceptual framework for embedding NbSs into the main stages of the SEA process to potentially enhance climate change mitigation and adaptation in urban land use planning. This is achieved through a systematic literature review of academic and grey literature sources, with subsequent content analysis. This study demonstrates the value of matching these manifold NbS approaches to climate change impacts potentially addressed in SEA process stages and suggests how this might be achieved in practice focusing on urban land use plans.

Monitoring Coastal Evolution and Geomorphological Processes Using Time-Series Remote Sensing and Geospatial Analysis: Application Between Cape Serrat and Kef Abbed, Northern Tunisia

The monitoring of coastal evolution (coastline and associated geomorphological features) caused by episodic and persistent processes associated with climatic and anthropic activities is required for coastal management decisions. The availability of open access, remotely sensed data with increasing spatial, temporal, and spectral resolutions, is promising in this context. The coastline of Northern Tunisia is currently showing geomorphic process, such as increasing erosion associated with lateral sedimentation. This study aims to investigate the potential of time-series optical data, namely Landsat (from 1985–2019) and Google Earth® satellite imagery (from 2007 to 2023), to analyze shoreline changes and morphosedimentary and geomorphological processes between Cape Serrat and Kef Abbed, Northern Tunisia. The Digital Shoreline Analysis System (DSAS) was used to quantify the multitemporal rates of shoreline using two metrics: the net shoreline movement (NSM) and the end-point rate (EPR). Erosion was observed around the tombolo and near river mouths, exacerbated by the presence of surrounding dams, where the NSM is up to −8.31 m/year. Despite a total NSM of −15 m, seasonal dynamics revealed a maximum erosion in winter (71% negative NSM) and accretion in spring (57% positive NSM). The effects of currents, winds, and dams on dune dynamics were studied using historical images of Google Earth®. In the period from 1994 to 2023, the area is marked by dune face retreat and removal in more than 40% of the site, showing the increasing erosion. At finer spatial resolution and according to the synergy of field observations and photointerpretation, four key geomorphic processes shaping the coastline were identified: wave/tide action, wind transport, pedogenesis, and deposition. Given the frequent changes in coastal areas, this method facilitates the maintenance and updating of coastline databases, which are essential for analyzing the impacts of the sea level rise in the southern Mediterranean region. Furthermore, the developed approach could be implemented with a range of forecast scenarios to simulate the impacts of a higher future sea-level enhanced climate change.

Enhanced climate change resilience on wheat anther morphology using optimized deep learning techniques.

Wheat commands attention due to its significant impact on culture, nutrition, the economy, and the guarantee of food security. The anticipated rise in temperatures resulting from climate change is a key factor contributing to food insecurity, as it markedly reduces wheat harvests. Terminal heat stress mostly affects spike fertility in wheat, specifically influencing pollen fertility and anther morphology. This research especially focuses on the shape of anthers and examines the effects of heat stress. The DinoLite Microscope's high-resolution images are used to measure the length and width of wheat anthers. By using object identification techniques, the research accurately measures the length and width of each anther in images, offering valuable insights into the differences between various wheat varieties. Furthermore, Deep Learning (DL) methodologies are utilized to enhance agriculture, specifically employing record categorization to advance plant breeding management. Given the ongoing challenges in agriculture, there is a belief that incorporating the latest technologies is crucial. The primary objective of this study is to explore how Deep Learning algorithms can be beneficial in categorizing agricultural records, particularly in monitoring and identifying variations in spring wheat germplasm. Various Deep Learning algorithms, including Convolution Neural Network (CNN), LeNet, and Inception-V3 are implemented to classify the records and extract various patterns. LeNet demonstrates optimized accuracy in classifying the records, outperforming CNN by 52% and Inception-V3 by 70%. Moreover, Precision, Recall, and F1 Measure are utilized to ascertain accuracy levels. The investigation also enhances our comprehension of the distinct roles played by various genes in abiotic stress tolerance among diverse wheat varieties. The outcomes of the research hold the potential to transform agricultural practices by introducing a more effective, data-driven approach to plant breeding management.

Impact of climate change on Chinese college students’ consumption behavior: A case study of Jilin University

This study investigates the impact of climate change on the consumption behavior of Chinese college students, especially their daily expenses. Using a survey method, data were collected and analyzed to understand the correlation between climate change awareness and consumption choices among students at Jilin University. The findings indicate that over 70% of respondents believe climate change significantly affects their daily lives and consumption habits. Particularly, changes in transportation choices were most prominent, with 68% of students opting for greener travel options. However, less willingness was observed in reducing online shopping or paying carbon taxes. These insights highlight the need for tailored educational interventions to enhance climate change awareness and promote sustainable consumption practices among college students.

Millets and sorghum as promising alternatives to maize for enhancing climate change adaptation strategies in the Mediterranean Basin

ContextClimate change is increasingly requiring the adoption of both climate-resilient alternative crops and sustainable management practices. Millets and sorghum are increasingly recommended as alternatives to maize in addressing these issues, yet there are no studies comparing the environmental impacts of food-crop millets and sorghum with maize, under sustainable management in Mediterranean area. ObjectiveThe present study examined for the first time the environmental and economic impacts, as well as agronomic performances, of rainfed cultivated proso millet, sorghum and maize over a three-year period under challenging climatic conditions in Emilia-Romagna region, Italy. MethodsDifferent kinds of trials were realized during three years of experimentation in one location in Ravenna province. The first trial aimed to compare proso millet, sorghum and maize agronomical performances and water use efficiency in a low-input system. The second trial aimed to compare soil fertility and biodiversity impacts of two different agronomical management systems (low-input and high input) for the summer crops previously described. Soil basic fertility parameters were monitored and ground dwelling arthropods were collected and analyzed using pitfall traps. The last trial of this study intended to evaluate the environmental and economic performances of the previous cereal crops cultivated in the low-input and high-input systems, applying the Life Cycle Assessment (LCA) and the Life Cycle Costing (LCC) methodologies. ResultsBoth organic sorghum and millet showed high potential as viable summer-crop alternatives, not only to organic maize, based on yield, water use efficiency, disease tolerance and weed competition, but also to conventional maize, based on reduced environmental and economic impacts. Positive land impacts including improved beneficial arthropod abundances and preserved soil fertility were evident under organic management. In fact, the comparative LCA and LCC, carried out with primary data from conventionally cultivated maize and sorghum within central-north Italy and the organic experimental field under investigation, showed that the Global Warming and Eutrophication Potential, were comparable between the organically cultivated crops and significantly lower than conventional maize and sorghum. ConclusionsThe results highlighted the potential of sorghum and millet cultivation as rainfed summer-crop alternative to maize in climate-change context, especially in low-input agronomical systems. In particular, under rainfed, organic management over three years, proso millet yielded consistently. ImplicationsUnder the sustainable practices of the present study, proso millet outperformed maize for yield and WUE stability, as well as potential costs saved, related to the production amount per unit area and potential revenue.

Understanding climate change awareness and adaptation measures in urban settings: A study in Surakarta, Indonesia

Backgorund: The effects of climate change in the atmosphere are starting to manifest, impacting not only the natural world but also human cultures. In Indonesia, these impacts are expected to intensify over the coming decades, with rising temperatures, declining rainfall, and sea-level rise affecting coastal areas. Extreme weather events, such as flooding and droughts, are becoming more common, posing significant challenges to human existence, economic growth, and the natural environment. This research aims to provide a comprehensive understanding of climate change awareness and adaptation measures among adolescents and local people in Surakarta, Indonesia. The study seeks to assess how the local population perceives and responds to climate change, as well as to identify factors that make communities vulnerable to severe weather events. By exploring these factors, the study aims to shed light on the underlying causes of vulnerability and inform the development of effective adaptation and mitigation strategies. Method: The research methodology involves the use of structured questionnaires and surveys to collect data from 100 respondents in Surakarta. Statistical analysis, including regression analysis, is employed to assess the relationship between various demographic factors and climate change awareness. Demographic factors such as age, education level, and income are evaluated to understand their impact on climate change perception and responsiveness. Findings: The findings of the study highlight the importance of enhancing climate change knowledge among adolescents and local residents and underscore the need for targeted adaptation measures to address the unique challenges faced by urban communities in Surakarta. Conclusion: Overall, this study contributes to the broader understanding of climate change adaptation and resilience-building efforts in urban settings and provides valuable insights for policymakers, researchers, and community stakeholders working in the field of climate change mitigation and adaptation. Novelty/Originality of this article: Using a structured survey, this study assessed climate change awareness and adaptation measures among adolescents and residents. The findings highlight the importance of improving knowledge about climate change and developing appropriate adaptation strategies for urban communities.

Aggravation Of the Climate Change Crisis in The Gulf Coast of The United States: A Review of Anthropogenic Factors

The Gulf Coast of the United States is increasingly at risk from the impacts of climate change, exacerbated by various human-induced factors. This review paper examined how human activities have worsened the effects of climate change in this region from 2005 to 2024, which is already vulnerable to hurricanes, sea-level rise, and coastal erosion. Influential factors include intensive industrial operations, such as oil and gas production, which release significant amounts of greenhouse gases and disrupt the natural landscape, leading to land subsidence and weakening coastal defenses. Urbanization and population growth have resulted in the loss of valuable wetlands and other natural buffers that mitigate flooding and storm surges. Alterations to river systems for flood control and navigation have reduced sediment deposition, affecting the preservation of coastal landforms. Agricultural practices in the region also play a role; fertilizer and pesticide runoff contaminate waterways and create hypoxic zones, impacting fisheries and marine habitats. The paper then emphasizes the need for impactful policy interventions and sustainable behaviors to address these human-induced pressures. In addition, the paper advocates for a comprehensive mitigation strategy that includes stricter emission controls, financial support for renewable energy sources, habitat restoration, and improved urban planning to enhance climate change resilience. After conducting a thorough review, we have discovered that the Gulf Coast region has experienced over fifteen deadly hurricanes over the past twenty years, poised to confront increasingly complex environmental and socioeconomic challenges if viable solutions are not implemented. These issues can potentially jeopardize the livelihoods of the region's inhabitants and the health of its diverse ecosystems.

Enhancing Operations for Sustainability in Indonesian SMEs through Climate Change Awareness and Business Orientation

This study aims to identify the level of climate change awareness among small-medium scale entrepreneurs (SMEs) and to investigate its impact on future business orientation, with individual self-perception acting as a mediating variable. Addressing a significant gap in the literature, this research explores the reciprocal influence between SMEs and climate change—an area previously underexplored. Conducted in West Sumatra, Indonesia, this study employs a quantitative causal analysis approach using Structural Equation Modelling-Partial Least Squares (SEM-PLS) for robust analysis. The findings indicate that while awareness and self-perception of climate change among SMEs are low, they significantly influence potential changes in business orientation. The study reveals that although many SMEs possess a high level of educational attainment, this does not necessarily translate into heightened awareness or self-perception regarding climate change. This disconnect underscores the critical role of tailored educational initiatives and support systems to bridge the gap between knowledge and action. Additionally, the study finds that SMEs often prioritize immediate financial stability over long-term environmental sustainability, driven by the necessity to meet daily operational demands. These results underscore the urgent need for pre-emptive government policies to guide SMEs toward sustainable practices. Effective interventions should include financial incentives, technical assistance, and educational programs designed to enhance climate change awareness and capabilities among SMEs. Furthermore, this study contributes to the field of industrial engineering by identifying opportunities to optimize SME operations. By integrating environmental sustainability into business strategies, SMEs can enhance their resilience and competitiveness while contributing to broader environmental goals. This research advances the understanding of the dynamic interplay between SMEs and climate change, providing a foundation for future studies aimed at promoting sustainable industrial practices.

Enhancing Climate Change Resilience: Assessing Adaptation Needs, and Significance of Monitoring and Evaluation Systems

Losses and damages from climate change related extreme weather events and disasters require the development of adaptation measures to increase resilience to the adverse impacts of climate change. In line with the United Nations Framework Convention on Climate Change (UNFCCC) and the Paris Agreement's Global Goal on Adaptation, Parties have developed strategies that include adaptation actions, but there are significant gaps in identification of adaptation needs and the monitoring and evaluation (M&E) of actions to address them. Adaptation M&E systems are critical for measuring the success of adaptation actions, providing feedback from the implementation process, and identifying new actions. There is no global methodology for adaptation M&E. At international climate change negotiations in 2023, it was agreed that countries should operationalize their national adaptation M&E systems by 2030. The aim of this study is to evaluate adaptation M&E methodologies developed by countries at different development levels and to present future policy recommendations for the adaptation M&E system planned to be established in Turkey. The study reveals the necessity of up-to-date socio-economic data as well as climate data in determining adaptation needs and adaptation M&E systems. In Turkey, which is vulnerable to the impacts of climate change, for the success of adaptation actions, besides the rapid operationalization of adaptation M&E system, establishment of the system with an approach that includes all stakeholders in the process and considers adaptation actions as integrated with disaster risk management actions is an important requirement in the context of Turkey's international commitments, national security, and development.

The Role of Artificial Intelligence in Advancing Climate Change Research

Abstract: Climate change is one of the most pressing challenges of the 21st century. The complexity and scale of climate systems require advanced tools for effective analysis and prediction. Artificial Intelligence (AI), with its ability to process vast amounts of data and identify patterns, holds significant potential to enhance climate change research. This paper explores the various applications of AI in climate science, evaluates the current capabilities, and discusses future prospects and challenges. The integration of AI into climate research can lead to improved climate models, better predictions of extreme weather events, and more effective climate mitigation and adaptation strategies.

Small‐ and medium‐sized enterprises' carbon footprint reduction initiatives as a catalyst for green jobs: A systematic review and comprehensive business strategy agenda

AbstractMotivated by the growing attention on climate change, this study provides an up‐to‐date and comprehensive systematic literature review (SLR) on small‐ and medium‐sized enterprises (SMEs) carbon footprint reduction initiatives and green jobs. Based on datasets from databases that include Web of Science, Scopus, ProQuest and Google Scholar, we conducted a SLR of 70 published articles spanning 2012 to 2022. Using VOSviewer and InfraNodus, bibliographic cluster analysis revealed the existence of three clusters namely; the role of green job initiatives and green human resource management in SMEs (cluster 1); green innovation, green Initiatives, green strategy and circular economy in SMEs (cluster 2); carbon footprint reduction initiatives, carbon performance, carbon management and carbon emission in SMEs (cluster 3). We found that SMEs adopt green supply chain, employing energy‐saving strategies, eco‐friendly waste reductions and recycling, circular economy, and green office practices. The study results indicate that these carbon footprint initiatives can lead to green job creation since green competences are required to implement green initiatives. However, value propositions relating to carbon reduction initiatives within SMEs need to be integrated with employee engagement. Additionally, the SLR identifies future research areas that include exploring the association among SMEs carbon footprint, green innovation and green jobs, and strategies to enhance climate change initiatives. Consequently, we call for future research to focus on the design of green jobs tracking and carbon footprint reduction reporting framework to support SMEs' green initiatives. The findings have key policy implications for SME owners, policymakers, practitioners and future researchers.

Exploring the drivers behind women’s intentions towards climate change mitigation through urban forest conservation

Public participation in urban forest conservation has significant potential for climate change mitigation. However, there is limited research specifically addressing women's behavioral intentions towards participating in urban forest conservation for this purpose, despite the increasing recognition of the importance of gender-specific perspectives in climate change mitigation. Understanding women's intentions towards engaging in urban forest conservation is crucial for developing effective strategies to mitigate climate change. This study aims to explore the influencing factors that shape women's intentions towards urban forest conservation as a measure to mitigate climate change. The extended theory of planned behavior serves as the theoretical framework, incorporating climate change awareness and perceived benefits of urban forests for climate change mitigation. A sample of 391 women participated in the study, and data were collected through a structured questionnaire. The results revealed that the original model accounted for 48 % of the variance in women's intentions towards urban forest conservation. By incorporating additional constructs into the extended model, the explanatory power increased to 66 %. Furthermore, the data analysis demonstrated that all variables in both the original and extended models significantly influenced women's intentions for urban forest conservation. In developed model the climate change awareness (ƛ= 0.366), perceived behavioral control (ƛ= 0.256), perceived benefits of urban forests (ƛ= 0.240), subjective norms (ƛ= 0.182), and attitude (ƛ= 0.145), had the most impact, respectively. These findings emphasize the importance of considering psychological factors in promoting women's active involvement in urban forest conservation for effective climate change mitigation. The study has important policy implications, as policymakers and practitioners should prioritize efforts to enhance climate change awareness among women and emphasize the perceived benefits of urban forests in addressing climate change. Further research is warranted to explore behavioral patterns and actual conservation practices among women in diverse cultural and social contexts.

Cultural Perspectives on Climate Change Adaptation in Agriculture an Ethnoecological Study

In an era where climate change is becoming increasingly apparent, adaptation in the agricultural sector is becoming more crucial. This research adopts a literature study approach to explore the cultural perspective on climate change adaptation in agriculture through the lens of ethnoecology. Through searching and analyzing relevant literature, the main findings indicate that local culture plays a significant role in shaping farmers' adaptation practices. These practices include the utilization of traditional knowledge, cultural values, and local knowledge systems to respond to the challenges of climate change. It is found that local wisdom is not merely an additional resource but an integral aspect in strengthening the resilience of farming communities. However, challenges such as limited access to resources and economic uncertainty remain barriers to adaptation efforts. Therefore, the integration of local knowledge into policy planning and the development of local capacity are relevant recommendations to enhance climate change adaptation in agriculture. This research provides insights into the complexity of the relationship between culture and climate change adaptation in agriculture, highlighting the importance of strengthening the involvement of local communities in mitigation and adaptation efforts.

Towards enhanced climate change adaptation: using traditional ecological knowledge to understand the environmental effects of urban growth in Abuja, Nigeria

Towards enhanced climate change adaptation: using traditional ecological knowledge to understand the environmental effects of urban growth in Abuja, Nigeria

Seagrass Community Structure and Ecosystem Carbon Stocks Along the Shoreline of Semujur Island, Bangka Belitung Province, Indonesia

Seagrass meadows serve as vital blue carbon ecosystems, sequestering significant amounts of CO2 and playing a crucial role in climate change mitigation. Semujur Island, located in the Bangka Belitung Province, exemplifies numerous small Indonesian islands boasting extensive seagrass meadows lining their shores. This research seeks to (1) describe the community structure of seagrass on Semujur Island, (2) assess the carbon storage within the seagrass ecosystem, and (3) analyze the relationship between seagrass community structure and carbon reserves across three distinct sites. According to the results of this study, there are eight species of seagrass on Semujur Island, i.e., Cymodocea rotundata, Enhalus acoroides, Halodule uninervis, Halophila ovalis, Oceana serrulata, Syringodium isoetifolium, Thalassia hemprichii, and Thalassodendron ciliatum. Diversity indices varied among sites, ranging from 1.48 to 1.72. Species evenness indices varied between 0.83 and 0.92, while dominance indices varied between 0.20 and 0.28. The highest estimated carbon stock was obtained at the site dominated by the species H. uninervis (75.11 MgC/ha); followed by the site dominated by T. hemprichii (50.55 MgC/ha). The correlation between seagrass community structure, including density and coverage, and carbon stocks demonstrated a moderate positive correlation, with coefficients of 0.430 and 0.528, respectively (p<0.05). This research highlights the significance of integrating ecological dynamics into the management of seagrass ecosystems to enhance climate change mitigation efforts. Additionally, it offers valuable data as a reference for the restoration and conservation of seagrass ecosystems.

Analysis of Students’ Climate Change Learning Using the Affective Domain of Learning

Objective: To assess the influence of affective actions on senior high school students' perceptions and behaviors regarding climate change, including mitigation, adaptation, and policy support; and provide insights for educators, administrators, and policymakers on integrating affective learning strategies into climate change education to promote long-term engagement and action. Theoretical framework: This study is anchored on the Affective Domain of Learning by Krathwohl, Bloom, and Masia (1964). Method: This study utilizes a descriptive design using a survey instrument that was implemented to the selected Senior High School students in Region 11 and 12, Philippines. Results and conclusion: The gathered data suggest that senior high school students have a strong grasp of climate change, particularly emphasizing the affective aspect of learning. Implications of the research: The implication of this research is that senior high school students possess a strong understanding of climate change's affective aspects, suggesting the effectiveness of educational efforts in engaging students on this topic. Addressing the identified weak correlation between valuing and characterization could enhance climate change education by providing clearer guidance on integrating personal values with the development of individual philosophies, ultimately fostering comprehensive awareness and action among students.

Analyzing the relationship between natural resource management, environmental protection, and agricultural economics for sustainable development in China

Sustainable development is crucial for achieving a balance between economic growth, social well-being, and environmental preservation. This study aims to evaluate the dimensions of natural resource management, environmental protection, and agricultural economics for promoting sustainable development in China. In this regard, the fuzzy Analytical Hierarchy Process (AHP) and fuzzy VIekriterijumsko KOmpromisno Rangiranje (VIKOR) approaches are used for the analysis. The hybrid approach combines the benefits of fuzzy logic and multi-criteria decision-making (MCDM) techniques, allowing for the consideration of uncertainties and imprecise data in decision-making. The study incorporates six criteria, twenty-four sub-criteria, and five strategies in a comprehensive evaluation framework. According to the results obtained using the fuzzy AHP method, it is evident that the primary criteria influencing sustainable development in China are economic viability, policy and governance, and environmental impact. Within these criteria, specific sub-criteria such as cost-effectiveness, policy alignment, air quality, and social inclusion emerge as key areas of focus. Furthermore, the results of the fuzzy VIKOR method show that investing in research and innovation, strengthening environmental regulations, and strengthening climate change adaptation are the most suited strategies to guide sustainable development efforts. To ensure sustainable development in China, policymakers need to give importance to implementing strategies stressing research and innovation, strengthened environmental regulations, and enhanced climate change adaptation.

Grassroots Solutions for Global Challenges: The Role of Self-Help Groups in Building Sustainable Livelihoods and Resilience to Climate Change in Nyakach, Kenya

The impact of climate change in developing countries such as prolonged droughts, flooding and erratic rainfall, among other effects are increasingly driving agricultural-dependent households into deeper poverty each year. Addressing these challenges requires comprehensive adaptation and mitigation strategies, involving both local and global efforts. Self-help groups (SHGs) are recognized as powerful instruments for the empowerment of vulnerable groups, particularly women, by providing access to credit and health information. They also play a crucial role in climate change adaptation and mitigation, which in turn enhances sustainable livelihoods for their members. However, this aspect has received limited attention in academic research. This study explores the nexus between SHGs, climate change mitigation, and sustainable livelihoods in Nyakach Sub County, a region where persistent poverty is exacerbated by recurrent climate shocks. A descriptive research design was employed, involving a sample of 384 respondents selected from members of 630 self-help groups (SHGs) in Nyakach Sub County, Kenya. The study's findings show that SHG members benefit from SHGs facilitated capital assets some of which that have not only led to reduced reliance on firewood, thus mitigating deforestation, but also facilitated a transition to alternative energy sources. This shift has enhanced their adaptive capacity to challenges posed by climate change. Furthermore, a significant correlation (rs=0.659, p=0.014) was observed between SHG-associated resources and competencies in climate change mitigation, as well as household sustainability. Additionally, collective action, such as participation in tree planting and trenching/water channelling to combat flood effects, showed a strong correlation with SHG-associated resources. Overall, the study concludes that SHG-linked assets and competencies play a vital role in enhancing climate change adaptation and the sustainable livelihoods of members. The study recommends increased emphasis on strengthening social capital within SHGs.
 

Enhancing climate change planning and adaptive management in marine protected areas through targets, thresholds, and social-ecological objectives

Marine Protected Areas (MPAs) are being deployed globally to protect the Earth’s biodiversity in rapidly changing oceans. Nesting climate change considerations within adaptive MPA management and monitoring is becoming a more common approach, and while climate change is increasingly addressed in MPA planning, implementation gaps remain. This study applied the climate robustness index (CRI) to MPA monitoring plans to assess how climate change is outlined within site- and regional-level plans. Previously developed to assess MPA management plans, the CRI scores plans based on their degree of incorporation of climate change adaptation principles, including core elements of adaptive management. We supplemented our CRI findings for monitoring plans by associating index scores of MPAs in the United States with selected MPA traits, as well as by examining specific physical, ecological, and sociological climate change impacts that were being considered within the monitoring scope of a subset of monitoring plans. We found considerable gaps in actionable targets and thresholds in MPA monitoring plans, consistent with a previous study evaluating MPA management plans, demonstrating that the adaptive management cycle is incomplete in many cases. We consider the importance of completing the adaptive management cycle as a core climate adaptation strategy, and explore the roles of social-ecological objectives and local partnerships as avenues to continue to improve MPA outcomes in a changing world.

Street trees provide an opportunity to mitigate urban heat and reduce risk of high heat exposure

Climate change is exacerbating the need for urban greening and the associated environmental and human well-being benefits. Trees can help mitigate urban heat, but more detailed understanding of cooling effects of green infrastructure are needed to guide management decisions and deploy trees as effective and equitable climate adaptation infrastructure. We investigated how urban trees affect summer air temperature along sidewalks within a neighborhood of Tacoma, Washington, USA, and to what extent urban trees reduce risks of high summer temperatures (i.e., the levels regulated by state outdoor heat exposure rules intended to reduce heat-related illnesses). Air temperature varied by 2.57 °C, on average, across our study area, and the probability of daytime temperatures exceeding regulated high temperature thresholds was up to five times greater in locations with no canopy cover within 10 m compared to those with 100% cover. Air temperatures decreased linearly with increasing cover within 10 m, suggesting that every unit of added tree cover can help cool the air. Our findings highlight the value of trees in mitigating urban heat, especially given expected warming with climate change. Protecting existing urban trees and increasing tree cover (e.g., by planting street trees), are important actions to enhance climate change resilience of urban areas.