Distinct Climate Research Articles

Salinity change induces distinct climate feedbacks of nitrogen removal in saline lakes

Current estimations of nitrogen biogeochemical cycling and N2O emissions in global lakes as well as predictions of their future changes are overrepresented by freshwater datasets, while less consideration is given to widespread saline lakes with different salinity (representing salinization or desalinization). Here, we show that N2O production by denitrification is the main process of reactive nitrogen (Nr, the general abbreviations of NH4+-N, NO2−-N and NO3−-N) removal in hypersaline lake sediments (e.g. Lake Chaka). The integration of our field measurements and literature data shows that in response to natural salinity decrease, potential Nr removal increases while N2O production decreases. Furthermore, denitrification-induced N2 production exhibits higher salinity sensitivity than denitrification-induced N2O production, suggesting that the contribution of N2O to Nr removal decreases with decreasing salinity. This field-investigation-based salinity response model of Nr removal indicates that under global climate change, saline lakes in the process of salinization or desalination may have distinct Nr removal and climate feedback effects: salinized lakes tend to generate a positive climate feedback, while desalinated lakes show a negative feedback. Therefore, salinity change should be considered as an important factor in assessing future trend of N2O emissions from lakes under climate change.

Putting into practice a decision-making framework for a thorough performance and location evaluation of solar photovoltaic plants in India from distinctive climate zones

Solar energy utilization has evolved tremendously in many countries to compete with conventional energy sources due to abundant availability, ongoing module price declines, and efficiency gains. Besides these advantages, most solar power plants continue to underperform due to various technical and environmental factors. Some solar projects in India even failed to meet the generation targets. Hence, to achieve sustainable development goals and be future-ready, solar power plants must be sustainably developed for power generation. One should focus on every sustainable aspect before constructing a powerplant, i.e., proper location selection. This study focuses on this problem and considers seven solar photovoltaic plants from different climatic zones in India to compare their performance and location criteria using fuzzy multi-criteria decision-making methods. Fuzzy Stepwise Weight Assessment Ratio Analysis is used to determine the criteria significance, while Fuzzy COmplex PRoportional ASsessment and Fuzzy ELimination Et Choix Traduisant la REalité (ELimination Et Choice Translating REality) are used to rank the seven solar photovoltaic plants. Given solar photovoltaic plants' high initial investment cost, economic criteria precede all other evaluation criteria in assessment, followed by technical, environmental, and connectivity criteria. The social criteria are neglected here because of the minor societal concerns about deploying solar photovoltaic plants. According to the results, the Unchahar solar photovoltaic plant (from the composite climatic zone) outperforms other selected photovoltaic plants and is determined to be the most appropriate plant. This is due to the lowest levelized cost of energy and lowest total cost for the Unchahar solar photovoltaic plant, as these criteria are the most significant per the study. This study's findings will be useful to energy decision-makers and may serve as a reference for constructing and developing future solar plants. Further, this study will make recommendations for future solar photovoltaic plant development. The study also includes sensitivity analysis to determine the data's robustness. This study is very robust, as the normalized alternative is constant for each criterion, and the ranking remains the same.

Performance analysis of a multi-source renewable energy system for temperature control in buildings of varied thermal transmittance and climate zone

The current paper presents a numerical analysis of a multi-source renewable energy system for building air conditioning aiming at decarbonising the building envelope. The thermal management of the building is pursued through a radiant floor fed by a heat pump and integrated with phase change materials for thermal inertia enhancement. A fan coil is foreseen for humidity control. The heat pump can be fed through three parallel circuits involving different thermal sources: air with an ordinary air-to-water heat exchanger, sun through photovoltaic thermal solar collectors, and ground using shallow ground flat-panel heat exchangers. At need, the ground can be exploited for thermal energy storage when the heat pump is idle. A set of dedicated control rules chooses the optimal source or mix of sources to exploit at any time. Simulations of a reference building, namely a large single-room snack bar, are performed for various plant configurations, hypothesising the building as located in distinct climate zones and characterised by different thermal transmittance. The thermal performance of the building is given in terms of primary energy needs per year and compared to that of an analogous single-source plant. Results show that the proposed system can lead to primary energy savings of up to 16% compared to the corresponding state-of-the-art single-source plant, being more effective if the geothermal field is large enough and the building heating and cooling needs are comparable. The relevance of a proper control algorithm for plant performance optimisation is highlighted: a thermal power-based approach is proposed and successfully tested.

Causal role of a promoter polymorphism in natural variation of the Arabidopsis floral repressor gene FLC

Noncoding polymorphism frequently associates with phenotypic variation, but causation and mechanism are rarely established. Noncoding single-nucleotide polymorphisms (SNPs) characterize the major haplotypes of the Arabidopsis thaliana floral repressor gene FLOWERING LOCUS C (FLC). This noncoding polymorphism generates a range of FLC expression levels, determining the requirement for and the response to winter cold. The major adaptive determinant of these FLC haplotypes was shown to be the autumnal levels of FLC expression. Here, we investigate how noncoding SNPs influence FLC transcriptional output. We identify an upstream transcription start site (uTSS) cluster at FLC, whose usage is increased by an A variant at the promoter SNP-230. This variant is present in relatively few Arabidopsis accessions, with the majority containing G at this site. We demonstrate a causal role for the A variant at -230 in reduced FLC transcriptional output. The G variant upregulates FLC expression redundantly with the major transcriptional activator FRIGIDA (FRI). We demonstrate an additive interaction of SNP-230 with an intronic SNP+259, which also differentially influences uTSS usage. Combinatorial interactions between noncoding SNPs and transcriptional activators thus generate quantitative variation in FLC transcription that has facilitated the adaptation of Arabidopsis accessions to distinct climates.

Comparative capacities of residential solar thermal systems versus F-chart model predictions and economic potential in an equatorial-latitude country

One popular simulation tool for predicting solar thermal (ST) performance is the F-chart model, which has not been validated for the conditions in equatorial-climate countries. In this work, the performance of two ST systems (evacuated tube collectors (ETCs) and flat plate collectors (FPCs), widely used for supplying domestic hot water (DHW) was assessed and compared with F-chart simulation results. The energy demands were simulated by scheduling hot water discharges and measuring the backup energy requirements to fulfil DHW needs. Then, the difference between the calculated solar fraction using the F-chart model and the measured solar fraction was obtained. Both the measurements and simulations showed that the ETC systems performed better than the FPC systems in a city located on the Ecuadorian highlands with distinct climate conditions. The results showed that ETC systems are, on average, up to 18.5% more efficient than FPC systems. A comparative economic analysis was carried out considering that domestic water heating systems are backed up with liquified petroleum gas (LPG) or electricity, both with and without state subsidies. However, due to the higher cost of ETC technology compared to FPC technology, and despite ETC’s higher efficiency than FPC’s, only US$0.34 per month can be saved on average because of the impact of energy subsidies. Thus, the FPC technology seems more profitable, under the mentioned conditions, because of its lower capital costs. With backup systems powered by unsubsidized energy, the two technologies are nearly comparable. The ETC technology appears suitable only under the unsubsidized electricity scenario. The novelty of this research is that real ST systems installed under similar conditions are integrated, the operation of ST technologies for DWH is simulated, and the different inclinations and orientations of solar collectors are considered. The results are compared with simulations from the F-chart model, and each system is economically assessed.

Caught Between a Well-Intentioned State and a Hostile Federal System: Local Implementation of Inclusive Immigrant Policies.

In the United States, inclusive state-level policies can advance immigrant health and health care access by extending noncitizens' access to public benefits, workplace rights, and protections from immigration enforcement. Although state policies carry promise as structural population health interventions, there has been little examination of their implementation at the local level. Local jurisdictions play multiple roles in state policy implementation and possess distinct immigration climates. Examining the local implementation of state immigrant policy can address challenges and opportunities to ensure the health benefits of inclusive policies are realized equitably across states' regions. To examine the local implementation of state immigrant policies, we selected a purposive sample of California counties with large immigrant populations and distinct social and political dynamics and conducted and analyzed in-depth interviews with 20 community-based organizations that provided health, safety net, and other services. We found that there were tensions between the inclusionary goals of state immigrant policies and local anti-immigrant climates and federal policy changes. First, there were tensions between state policy goals and resistance from local law enforcement agencies and policymakers (e.g., Board of Supervisors). Second, because of the ongoing threats from federal immigration policies, there was a mismatch between the services and resources provided by state policies and local community needs. Finally, organizations that served immigrants were responsible for contributing to policy implementation but lacked resources to meet community needs while countering local resistance and federal policy threats. This study contributes knowledge regarding the challenges that emerge after state immigrant policies are enacted. The tensions among state immigrant policies, local immigration climates, and federal policy changes indicate that state immigrant policies are not implemented equally across state communities, resulting in challenges and limited benefits from policies for many immigrant communities.

The modelling of tomato crop response to the climate change with different irrigation schemes

The inequality between available water supplies and growing water demand from diverse sectors, as well as the predicted climate changes are putting significant pressures on Egypt’s food security. There is a nation-wide demand for new scientifically proven on-farm practices to boost water productivity of major food crops. The objective of this study was to explore the use of various deficit irrigation schemes to improve water productivity ( WP) of tomato cultivated in Egypt under distinct climate change scenarios, RCP4.5 and RCP8.5, in three time-steps of the reference period (2006– 2016), 2030s, and 2050s. The AquaCrop model was used to simulate the influence of climate change on the tomato crop, as well as two deficit irrigation application schemes for the full growing season and the regulated application for the initial and maturity crop stages. With the same irrigation method, the predicted WP increased in a general pattern across all climate change scenarios. The combination of irrigation schedule with the 80% deficit irrigation can enhance WP near the optimum level (approximately 2.2 kg∙m–3), especially during early and mature stages of the crop, saving up to 16% of water. The results showed that the expected temperature rise by 2050s would reduce the crop growth cycle by 3– 11 days for all irrigation treatments, resulting in a 1–6% decrease in crop evapotranspiration ( ETc) and affecting the dry tomato yield with different patterns of increase and decrease due to climate change.

The Role of Nonlinear Energy Advection in Forming Asymmetric Structure of ENSO Teleconnections Over the North Pacific and North America

AbstractIn boreal winter, the El Niño/Southern Oscillation (ENSO)‐induced Pacific‐North American (PNA) teleconnection pattern is farther westward during La Niña relative to that in El Niño, causing discernible distinct climate implications. However, there has been a lack of consensus regarding the underlying mechanism driving this asymmetric structure. This study highlights the contribution of nonlinear kinetic energy advection (nKA) to this asymmetry. The zonally symmetric responses to ENSO, specifically the anomalies in zonal mean zonal flow, generate opposing nKA patterns by advecting anomalous eddy kinetic energy in the North Pacific, which leads to the shift of the PNA teleconnection pattern. In addition to nKA, transient eddy activities responded to changes of baroclinicity help maintain the asymmetry through a feedback effect. These findings underscore the importance of considering extratropical factors, such as nonlinear energy processes and synoptic‐scale transient eddies, in understanding the mechanism responsible for the asymmetric structure of the PNA teleconnection pattern.

Longleaf pine savannas reveal biases in current understanding of savanna biogeography

AbstractBiased understanding of savanna biogeographyGrasslands and savannas exist across a wide range of climates. Mesic savannas, with highly variable tree densities, are particularly misunderstood and understudied in comparison to arid and semi‐arid savannas. North America contains historically extensive mesic savannas dominated by longleaf pine. Longleaf pine savannas may have once been the largest savanna type on North America, yet these ecosystems have been overlooked in global syntheses. Excluding these “Forgotten Ecosystems” from global syntheses biases our understanding of savanna biogeography and distribution.Evolutionary history and distinct climate of longleaf savannasWe assessed the evolutionary history and biogeography of longleaf pine savannas. We then harmonize plot data from longleaf savannas with plot data from valuable existing global synthesis of savannas on other continents. We show that longleaf pine savannas occur in a strikingly distinct climate space compared to savannas on Africa, Australia, and South America, and are unique in having wide ranging tree basal areas.Future directionsGrass‐dominated ecosystems are increasingly recognized as being ancient and biologically diverse, yet threatened and undervalued. A new synthesis of savanna ecosystems considering their full range of distributions is needed to understand their ecology and conservation status. Interestingly, the closest analogues to North American savannas and their relatives in Mesoamerica and the Caribbean may be Asian savannas, which also contain mesic fire‐driven pine savannas and have been similarly neglected in existing global syntheses.

Climate Equivalence and International Trade

AbstractThis article examines a significant question in navigating trade and climate tension: how to recognize another country as having equivalent climate regulations. Such equivalence forms a core component of many proposed models of so-called climate clubs. Establishing equivalence between distinct national climate regulation regimes poses a unique challenge that draws upon both trade and environmental international cooperation. Drawing on existing proposals, I examine prospects for country-based cooperation through three models: ETS-linking, benchmarking of shared methods and minimum standards, and benchmarking of outcome duties. The analysis concludes that all models necessitate some trade-offs between the goals of rigorous oversight of climate objectives, inclusivity, and WTO compliance. Benchmarking of shared methods and minimum standards seems most feasible, and would provide a deeper level of integration between trade and climate cooperation, but necessitates a shift in how countries, particularly the EU, oversee regulatory compliance.

Potential of thermal, electricity and hydrogen storage systems for achieving sustainable buildings

The current global energy scarcity challenges and the urgent need to enhance building sustainability have emphasized the utilization of energy storage systems as a highly promising approach. This study assesses the energy, economic, and environmental (3E) potential of thermal, electricity and hydrogen storage systems in promoting the sustainability of buildings. To that end, several simulations have been performed for five energy storage systems: photovoltaic (PV) with batteries, PV with hydrogen storage, solar collectors with hot water storage, phase change materials (PCMs) and Trombe wall. The 3E performance of these systems is evaluated in three distinct climates, namely hot desert, Mediterranean and cold climates. The results show that employing batteries for electricity storage is more energy-efficient than using hydrogen in all considered climates. Moreover, combining solar thermal collectors and hot water storage yields excellent energy outcomes, especially in the hot desert climate, while integrating PCMs in exterior walls and roof exhibits higher energy savings (43.06–64.29%) than the Trombe wall technique (4.18–18.09%). Environmentally, all storage systems, except for the Trombe wall, are eco-friendly with carbon payback periods of around 2.21–2.51, 0.40–0.67, 0.55–0.64, and 2.80–4.04 years for PV with batteries, PV with hydrogen storage, solar collectors with hot water storage, and PCM, respectively. In economic terms, the best cost-effectiveness is achieved using PV with batteries, followed by solar collectors with hot water storage and PCMs, with discounted payback period/levelized cost of energy of about 4.98–5.48/0.035–0.039, 6.35–7.52/0.039–0.046 and 9.32–14.43 years/0.046–0.067 $/kWh, sequentially. In contrast, incorporating Trombe wall and PV with hydrogen storage reveals a low economic viability. Overall, these outcomes could help engineers and building owners get informed about the 3E benefits and disadvantages of each storage system, enabling them to select the most suitable ones.

Climate zones in Iran

AbstractClimate classification provides a framework for a better understanding of the dominant weather patterns in different regions of the Earth. This study aims at identifying climate zones in Iran based on the analysis of monthly temperature and precipitation over 139 synoptic stations across Iran during the period 1991–2020. Based on the application of the principal component analysis, we identified six distinct climate zones in Iran: mild and humid, cool and sub‐humid, cold and temperate semi‐arid, warm and semi‐arid, cool and arid, and warm and hyperarid. The highest precipitation occurs in the southern coastal plains of the Caspian Sea, characterized by a mild and humid climate. The climate of western Iran is identified as cool and sub‐humid, while northwestern Iran is characterized by a cold and temperate semi‐arid climate. Southwestern Iran is identified as a region with a warm and semi‐arid climate, while northeastern Iran has a cool and arid climate. Southeastern and central Iran are both characterized by a warm and hyperarid climate. The highest monthly and seasonal precipitation values over Iran occur in March (48.6 mm) and winter (134.2 mm), respectively, while the highest monthly and seasonal mean temperature values occur in July (29.1°C) and summer (28.0°C), respectively. In terms of seasonal variation, the maximum precipitation occurs in the southern coastal plains of the Caspian Sea in autumn, while the minimum occurs in southwestern Iran in summer. Our results have important implications for better understanding and analysing the climatic characteristics across Iran.

An integrated approach for understanding natural -and anthropogenic controls on water quality in arid and semi-arid environments

The objective of this review is to highlight the need for an integrated approach to the understanding of the major processes controlling the hydrochemical composition of water bodies in drylands using multivariate statistics, water quality index and heavy metal pollution index. The integrated approach to the hydrochemical investigation of streams and aquifers in drylands is essential owing to their distinctive climate, notably, low rainfall and high temperature. Studies on water quality in arid and semi-arid areas using multivariate analysis and water quality indices were scrutinized. Results showed that the hydrochemistry of streams and aquifers is controlled by both the natural geogenic processes and anthropogenic activities. However, in-depth understanding of geochemistry and land use types, as well as climatic vagaries, is required, to be able to discriminate these processes, since several ions of rock minerals origin are increasingly being added into the environment through human activities. While the sources of solutes and processes controlling the hydrochemistry of streams and aquifers can be established through application of multivariate analysis, this technique is limited in water quality investigations since it cannot measure the suitability of water for domestic, agriculture and industrial uses. Thus, an integrated approach incorporating water quality indices in conjunction with multivariate analysis is required. This is essential owing to the fact that the suitability of water for various uses is central to any hydrogeochemical investigation in arid and semi-arid environments. Thus, it is expected that future hydrochemical studies would apply this approach.

Assessing historical climate trends in Dhaka City: A multivariate analysis using Mann-Kendall and Sen's slope method

This study presents a comprehensive assessment of the historical climatology of Dhaka city over a period of fifty years (1971-2021), utilizing five distinct climate parameters: Skin Temperature, Air Temperature, Rainfall, Wind Speed, and Humidity. The study employed various statistical methods, such as Linear regression, the Mann-Kendall test model, and Sen’s slope estimator method, to examine the significant patterns in climate data and quantify the degree of fluctuations in the variables. The results of the Mann-Kendall Test provided evidence that each parameter's values displayed a statistically significant trend. The Sen's Slope estimator revealed a declining trend in the monthly mean value of all climate parameters except for wind speed and humidity. The annual average Skin and Air Temperature in Dhaka City increased at a rate of 0.033°C and 0.065°C respectively over the study period; as a result, the average annual Rainfall and Humidity showed an increasing tendency, which was 1.225 mm and 0.086% respectively. The Monsoon period demonstrated the highest rainfall and humidity levels, while the winter season demonstrated the lowest levels of these parameters. The trend of Wind Speed has exhibited a decrease at a rate of 0.032 m/s over the past five decades. A critical analysis evaluates the trends and patterns observed in the data. This research attempts to improve understanding of the components that have influenced the climate of Dhaka City by evaluating historical data.

Multimodal climate change prediction in a monsoon climate

Abstract The uncertainty in the climate projection arising from various climate models is very common, and averaging such results poses a risk of underestimation or sometimes overestimation of impact in magnitude and frequency. Further, the performance of various climate models in monsoon degrades drastically due to the skewed nature. Under these circumstances, the performance of the climate model in the monsoon and non-monsoon periods is critical for accurate assessment. A multimodal approach has been used in the present work to quantify the uncertainty involved in the climate model using reliability ensemble averaging (REA). Based on AR6 of IPCC, the ensemble of 26 global climate models (GCMs) was used to evaluate the model performance and possible change in seasonal precipitation in four cities with distinct climate conditions, namely, Coimbatore, Rajkot, Udaipur, and Siliguri. The results show that non-monsoon and monsoon rainfall are expected to increase in all the regions. Most of the models perform poorly in simulating monsoon climate, especially in the monsoon period and are highly inconsistent spatially. The study also finds that the model performance is largely linked to the ratio of natural variability and mean.

Climate has contributed to population diversification of Daphnia galeata across Eurasia.

Climate is a fundamental abiotic factor that plays a key role in driving the evolution, distribution and population diversification of species. However, there have been few investigations of genomic signatures of adaptation to local climatic conditions in cladocerans. Here, we have provided the first high-quality chromosome-level genome assembly (~143 Mb, scaffold N50 12.6 Mb) of the waterflea, Daphnia galeata, and investigated genomic variation in 22 populations from Central Europe and Eastern China. Our ecological-niche models suggested that the historic distribution of D. galeata in Eurasia was significantly affected by Quaternary climate fluctuations. We detected pronounced genomic and morphometric divergences between European and Chinese D. galeata populations. Such divergences could be partly explained by genomic signatures of thermal adaptation to distinct climate regimes: a set of candidate single-nucleotide polymorphisms (SNPs) potentially associated with climate were detected. These SNPs were in genes significantly enriched in the Gene ontology terms "determination of adult lifespan" and "translation repressor activity", and especially, mthl5 and SOD1 involved in the IIS pathway, and EIF4EBP2 involved in the target of the rapamycin signalling pathway. Our study indicates that certain alleles might be associated with particular temperature regimes, playing a functional role in shaping the population structure of D. galeata at a large geographical scale. These results highlight the potential role of molecular variation in the response to climate variation, in the context of global climate change.

Hop Tropicalization: Chemical Compositions of Varieties Grown under Organic and Conventional Systems in Subtropical Conditions

The interest in the production of hops in Brazil, motivated by the third position in the world ranking of beer producers and the growth of the craft brewery business, justifies the intensification of studies into its adaptation to local growing conditions. Due to the high internal demand, the aim of this study was to evaluate the phytochemical profiles of hop varieties grown in subtropical conditions under different cropping systems. Studies that promote the expansion of cultivation areas in distinct climate conditions and ensure quality are very important. A randomized block design was adopted with a 2 × 5 subdivided plot. The main factor was the cropping system (organic and conventional), and the secondary factor was the hop variety (Columbus, Chinook, Nugget, Cascade and Hallertau Mittelfrüeh), with four blocks and four plants per plot. The quality parameters monitored in this work were the contents of alpha and beta acids, and xanthohumol in the inflorescences of hops, as well as the relative composition of their essential oils. The variations in the chemical profiles of essential oils showed differences between some varieties, and the different compositions and levels resulting from the two cropping systems show that management and cultural practices can influence the aromatic characteristics of hops; in total, 23 compounds were found. The terpene fraction represented 79.67% of the oil in Hallertau and 93.63% in Cascade, with myrcene being the main compound. The levels of bitter acids and xanthohumol did not differ statistically as a function of the treatments. This study contributes the first records of the chemical profiles of hops grown in subtropical conditions in Brazil, in general, the Nugget variety had the highest qualitative potential

Paper Review of External Integrated Systems as Photovoltaic Shading Devices

The building sector contributes to 40% of the total final energy consumption and 36% of CO2 emissions in Europe, and these are set to increase in the coming years. International directives are pushing towards a decarbonisation roadmap to improve the quality of cities and the health of citizens. Buildings have a potentially central role in terms of energy transition as a means to produce and save energy. Photovoltaic shading devices (PVSDs) protect buildings from direct solar radiation and overheating while producing renewable electricity onsite and increasing the users’ thermal comfort. Even though the potential of the PVSD is considerable, the sector is still unexplored, and few studies on the topic are available in the literature. This systematic review aims to present an exhaustive overview of the current literature on state-of-the-art PVSDs by analysing the scientific framework in terms of the status of the research. It presents a performance-based approach focusing on innovative products, PVSD design strategies, and energetic performance in distinct climate conditions and configurations. In particular, 75 articles and about 250 keywords were identified, selected, and analysed. The literature review serves as a basis for further R&D activities led by both the industrial and the academic sectors.

Plant economic strategies in two contrasting forests

BackgroundPredicting relationships between plant functional traits and environmental effects in their habitats is a central issue in terms of classic ecological theories. Yet, only weak correlation with functional trait composition of local plant communities may occur, implying that some essential information might be ignored. In this study, to address this uncertainty, the objective of the study is to test whether and how the consistency of trait relationships occurs by analyzing broad variation in eight traits related to leaf morphological structure, nutrition status and physiological activity, within a large number of plant species in two distinctive but comparable harsh habitats (high-cold alpine fir forest vs. north-cold boreal coniferous forest).ResultsThe contrasting and/or consistent relationships between leaf functional traits in the two distinctive climate regions were observed. Higher specific leaf area, photosynthetic rate, and photosynthetic nitrogen use efficiency (PNUE) with lower N concentration occurred in north-cold boreal forest rather than in high-cold alpine forest, indicating the acquisitive vs. conservative resource utilizing strategies in both habitats. The principal component analysis illuminated the divergent distributions of herb and xylophyta groups at both sites. Herbs tend to have a resource acquisition strategy, particularly in boreal forest. The structural equation modeling revealed that leaf density had an indirect effect on PNUE, primarily mediated by leaf structure and photosynthesis. Most of the traits were strongly correlated with each other, highlighting the coordination and/or trade-offs.ConclusionsWe can conclude that the variations in leaf functional traits in north-cold boreal forest were largely distributed in the resource-acquisitive strategy spectrum, a quick investment-return behavior; while those in the high-cold alpine forest tended to be mainly placed at the resource-conservative strategy end. The habitat specificity for the relationships between key functional traits could be a critical determinant of local plant communities. Therefore, elucidating plant economic spectrum derived from variation in major functional traits can provide a fundamental insight into how plants cope with ecological adaptation and evolutionary strategies under environmental changes, particularly in these specific habitats.

How genuine is your diversity climate? A new typology highlighting the emergence of specious diversity climates

SummaryResearch supports the notion that diversity climate (employees' perceptions of the extent to which fairness and elimination of discrimination are promoted within the work unit) can help the unit attain benefits—rather than detriments—from workforce diversity. However, the diversity climate literature rests substantially on a questionable assumption—that all unit members perceive the environment uniformly—which fails to account for the potential of individuals' distinct experiences in units. We introduce a new typology of diversity climates to address how individual and subgroup perceptions develop and aggregate to reflect an overall climate. This framework calls attention to specious diversity climates, in which a homogeneous population of employees agrees in their perceptions of a supportive diversity climate despite exclusion and/or otherwise unfair treatment of marginalized members. We explore the emergence process of each distinct climate type, explicating how perceptions aggregate to form a unit diversity climate that falls into one of five categories (i.e., genuinely supportive, speciously supportive, moderate/unsupportive, multimodal, or fragmented). We conclude with implications for theory and managerial practice.