Influence Of Climate Change Research Articles

Expression of octopamine/tyramine receptors and immune regulation in Litopenaeus vannamei under acute and chronic thermal stress

This study investigated the impact of hyperthermal (34 °C) and hypothermal (14 °C) stress on the expression of the octopamine/tyramine receptor (LvOA/TA-R) and immune parameters in Litopenaeus vannamei, which is a species critical to the aquaculture industry. Given the sensitivity of aquatic organisms to climate change, understanding the physiological and immune responses of L. vannamei to temperature variations is essential for developing strategies to mitigate adverse effects. This research focuses on the immune response and expression changes of LvOA/TA-R under acute (0.5, 1, and 2 h) and chronic (24, 72, and 168 h) thermal stress conditions. Our findings reveal that thermal stress induces changes in LvOA/TA-R expression and impacts immune responses. Immune parameters such as total haemocyte count, differential haemocyte count, phenoloxidase activity, respiratory bursts, lysozyme activity, clearance efficiency, and phagocytosis exhibited a general trend of significant decline under the stress conditions. LvOA/TA-R had a higher expression in haemocyte under hyperthermal stress. The study elucidated that thermal stress modifies the expression of the LvOA/TA-R and diminishes immune functionality in L. vannamei, underscoring the potential influence of climate change on industry.

Portrayal of Ecological Crisis with Interventions in North East India: An Analytical Study from Nagaland Poetic Perspectives

ABSTRACT Ecological concerns and crises are the priorities in the 21st century throughout the world, Asian countries, and India respectively. This research study investigates the portrayal of environmental and ecological problems and issues in North East India through an analytical lens and perspectives rooted in the poetic descriptions and expressions of the North East Region. By nature, Northeast India is characterized by its unique cultural heritage and rich biodiversity confronting various ecological challenges. Some of the challenges range from habitat loss and deforestation to climate change influences and loss of tribal ecosystems, indigenous knowledge traditional practices, and so on. In this article, the researcher through an analytical examination of poems from North East Indian poets particularly from Nagaland highlights the intricate connections between ecological literature and traditional identity, shedding light on the North Eastern region's ecological concerns and the ways in artistically expressed through poetic discourse. In this study, the following Naga poetic expressions Monalisa Changkija, Temsula Ao, Nini Lungalang, and Easterine Kire are considered. Throughout this paper, the scholar examines how the poets from the Nagaland region try to understand, perceive, interpret, and respond to environmental problems portraying the role of literature in promoting ecological awareness, lobbying, advocacy, and stewardship.

Temperature extremes nip invasive macrophyte Cabomba caroliniana A. Gray in the bud: potential geographic distributions and risk assessment based on future climate change and anthropogenic influences.

Cabomba caroliniana A. Gray, an ornamental submerged plant indigenous to tropical America, has been introduced to numerous countries in Europe, Asia, and Oceania, impacting native aquatic ecosystems. Given this species is a popular aquarium plant and widely traded, there is a high risk of introduction and invasion into other environments. In the current study the potential global geographic distribution of C. caroliniana was predicted under the effects of climate change and human influence in an optimised MaxEnt model. The model used rigorously screened occurrence records of C. caroliniana from hydro informatic datasets and 20 associated influencing factors. The findings indicate that temperature and human-mediated activities significantly influenced the distribution of C. caroliniana. At present, C. caroliniana covers an area of approximately 1531×104 km2 of appropriate habitat, especially in the south-eastern parts of South, central and North America, Southeast Asia, eastern Australia, and most of Europe. The suitable regions are anticipated to expand under future climate scenarios; however, the dynamics of the changes vary between different extents of climate change. For example, C. caroliniana is expected to expand to higher latitudes, following global temperature increases under SSP1-2.6 and SSP2-4.5 scenarios, however, intolerance to temperature extremes may mediate invasion at higher latitudes under future extreme climate scenarios, e.g., SSP5-8.5. Owing to the severe impacts its invasion causes, early warning and stringent border quarantine processes are required to guard against the introduction of C. caroliniana especially in the invasion hotspots such as, Peru, Italy, and South Korea.

Assessing the response of marine fish communities to climate change and fishing.

Globally, marine fish communities are being altered by climate change and human disturbances. We examined data on global marine fish communities to assess changes in community-weighted mean temperature affinity (i.e., mean temperatures within geographic ranges), maximum length, and trophic levels, which, respectively, represent the physiological, morphological, and trophic characteristics of marine fish communities. Then, we explored the influence of climate change and fishing on these characteristics because of their long-term role in shaping fish communities, especially their interactive effects. We employed spatial linear mixed models to investigate their impacts on community-weighted mean trait values and on abundance of different fish lengths and trophic groups. Globally, we observed an initial increasing trend in the temperature affinity of marine fish communities, whereas the weighted mean length and trophic levels of fish communities showed a declining trend. However, these shift trends were not significant, likely due to the large variation in midlatitude communities. Fishing pressure increased fish communities' temperature affinity in regions experiencing climate warming. Furthermore, climate warming was associated with an increase in weighted mean length and trophic levels of fish communities. Low climate baseline temperature appeared to mitigate the effect of climate warming on temperature affinity and trophic levels. The effect of climate warming on the relative abundance of different trophic classes and size classes both exhibited a nonlinear pattern. The small and relatively large fish species may benefit from climate warming, whereas the medium and largest size groups may be disadvantaged. Our results highlight the urgency of establishing stepping-stone marine protected areas to facilitate the migration of fishes to habitats in a warming ocean. Moreover, reducing human disturbance is crucial to mitigate rapid tropicalization, particularly in vulnerable temperate regions.

Assessing the Impact of Climate Changes, Building Characteristics, and HVAC Control on Energy Requirements under a Mediterranean Climate

Assessing the Impact of Climate Changes, Building Characteristics, and HVAC Control on Energy Requirements under a Mediterranean Climate

Attribution analysis and forecast of salinity intrusion in the Modaomen estuary of the Pearl River Delta

Attribution analysis and forecast of salinity intrusion in the Modaomen estuary of the Pearl River Delta

Differences in desiccation tolerance of two Australian freshwater mussel species with different life history characteristics is temperature dependent

Mass die-offs, reduced species richness and local extinctions of freshwater mussels have resulted from river drying events, which often co-occur with high ambient temperatures. These events are predicted to increase in frequency and severity under the influence of climate change. We aimed to identify the desiccation tolerance of two freshwater mussel species (the river mussel Alathyria jacksoni and the floodplain mussel Velesunio ambiguus) across a range of temperatures by simulating river drying events in laboratory conditions. Freshwater mussels were buried in sediment heated to 29, 32, 35, 38 and 41°C. Lethal times and lethal temperatures at which 50% mortality occurred were used to infer species-specific tolerances. The lethal time for 50% of mussels to reach mortality at 29°C was shorter for A. jacksoni (14 days) than V. ambiguus (58 days) but did not differ markedly at higher temperatures. Lethal temperatures were also similar between species over short durations (e.g. 39–40°C at 1 day). Our results suggest that the difference in desiccation tolerance between species diminishes toward their upper thermal limit. Management interventions aimed at reducing sediment temperatures, such as providing shade via riparian vegetation and wetting from environmental flows, could help alleviate the impact of drying events and climate change on both freshwater mussel species.

Quantifying the altitudinal response of water yield capacity to climate change in an alpine basin on the Tibetan Plateau through integrating the WRF-Hydro and Budyko framework

Alpine areas play a substantial role in supplying the world’s water resources. The hydrological cycle in these areas has been experiencing notable alterations owing to climate change. However, the present comprehension of how water yield capacity (WYC) responds to climate change at varying elevations within alpine basins is impeded due to the complex terrain and simplified representation of coupled water-energy processes in traditional hydrological models. Through integrating the Weather Research and Forecasting hydrological modeling system (WRF-Hydro) and Budyko framework, this study quantitatively assessed the influence of climate change on WYC across different elevations in a Tibetan Plateau alpine basin, named Xiying River Basin (XRB). The results indicated the WRF-Hydro adeptly reproduced the streamflow and evapotranspiration (ET) within the XRB. The combination of the WRF-Hydro model allows the Budyko framework, traditionally limited to the watershed scale, to be applicable at the grid scale. We found that the XRB underwent substantial climate change from 1980 to 2015, and there existed an abrupt change in 1997. Climate change caused the WYC reduced by −17.06% during the post-1997 period (1998–2015), compared to the pre-1997 period (1980–1997). Additionally, all elevation bands displayed the WYC reductions, ranging from −3.69% to −24.31%, with diminishing magnitude at higher elevations. This WYC reduction is primarily attributed to an increase of 11.38% in ET. Although ET and precipitation increased with elevation, the former consistently exceeded the latter, resulting in decreasing water deficits and an altitudinal gradient of the WYC reduction. Besides the increasing vapor pressure deficit and decreasing albedo, our findings emphasized the significance of precipitation event timing in influencing WYC. The longer time intervals between precipitation events in the XRB led to more soil moisture loss through ET. These findings shed valuable implications for policymakers, offering guidance for the formulation of sustainable policies for water resource management and ecological conservation.

Can fiscal expenditure for agriculture mitigate the impact of climate change on agricultural production?

The profound impact of climate change on agricultural production, and the government’s fiscal expenditure for agriculture, is considered a crucial means to address this challenge. This study utilizes panel data from all prefecture-level cities in Heilongjiang Province from 2000 to 2020. Drawing upon the Cobb–Douglas production function, an economic climate model is constructed to empirically analyze the impact of climate change on grain yield in Heilongjiang Province. Furthermore, the role of fiscal expenditure for agriculture in mitigating the effects of climate change on grain yield is explored. Feasible Generalized Least Squares (FGLS) estimation is employed to address issues of “heteroscedasticity,” “autocorrelation within groups,” and “cross-sectional contemporaneous correlation” present in the model. The results indicate that climate change has a positive impact on rice and corn yields, while exhibiting a negative impact on wheat yield. The influence of climate change on crop yield is both linear and nonlinear. Specifically, temperature demonstrates a linear relationship with rice and corn yields, whereas precipitation shows a significant inverted U-shaped relationship with rice and corn yields. The impact of climate change on grain production in Heilongjiang Province varies significantly across regions. Fiscal expenditure for agriculture has a significant positive effect on the yield of major grain crops in Heilongjiang Province. In addressing the impact of climate change on grain production, agricultural fiscal expenditure enhances the positive effect of precipitation on rice and corn yields, while diminishing the positive impact of temperature on corn yield.

False springs in the Netherlands: climate change impact assessment with the false spring damage indicator model

Strong night frosts in spring have the potential to cause severe damage to fruit trees, causing up to €3.3 billion of damage in Europe in 2017. If temperatures drop below − 2.2 °C after the growing season starts, this phenomenon is referred to as a false spring. For the Netherlands, the risk of false spring damage increased during the past 70 years, due to the decreasing time between the last strong night frost and the flower budburst. This raises the question of whether this trend will continue under future influences of climate change. To analyse the development of false spring damage risks, we developed the False Spring Damage Indicator (FSDI) model. Applying this model to the Dutch KNMI’14 climate change scenarios for 2050 and 2085 showed a decrease in false spring damage risk. The historical risk for 60% bud damage was reduced to around 40% for the moderate scenario in 2050 and to less than 15% for the severe scenario in 2050 and all scenarios in 2080. False spring damage varied spatially throughout the Netherlands. Currently, more severe damage can be expected in the east, while coastal regions in the north and west are less prone to false spring damage. In the future, this is expected to become more uniform over the Netherlands, as the risk in the east is predicted to decrease strongly, becoming similar to the low damage risk in the coastal regions.

Navigating Insurance Challenges: A Decision Tree Model for Insurance Pricing and Risk Strategy

Amid escalating natural disasters intensified by climate change, accurately assessing risks and determining insurance rates in disaster-prone areas present significant challenges to the insurance industry, impacting the underwriting decisions and strategies correspondingly. This article employs a frequency-loss degree framework to quantify meteorological disaster risk as the Annual Average Loss (AAL), which was classified into three categories (severe, moderate, and mild) further. Utilizing a Poisson Distribution to process extreme event data and integrating it with data from typical years into a comprehensive prediction model, this approach facilitates enhanced risk assessment and premium estimation. A decision tree model was further established to explore insurance institution’s underwriting decisions and risk strategies on the basis of monetary benefits and mental utility respectively, highlighted by case studies in Australia and the Philippines. The findings underscore the necessity for insurers to incorporate advanced decision-making tools taking utility factors into account, to navigate the complexities of risk and pricing in vulnerable areas efficiently. A tendency was observed among insurers to prefer conservative strategies in medium-risk areas, like the Philippines, over aggressive underwriting in high-risk zones, such as Western Australia. This suggests further research into expanding the model's applicability and delving into the evolving influence of climate change on the insurance industry.

Relationship between fine particulate matter concentration and winter monsoon in the tropics under the influence of climate change and topographic effects: A case study of Kaoping area, Taiwan, since 1959

Relationship between fine particulate matter concentration and winter monsoon in the tropics under the influence of climate change and topographic effects: A case study of Kaoping area, Taiwan, since 1959

Dune behavior in the Source Area of the Yellow River under climate changes observed from various remote sensing datasets

Sand dunes are a landscape feature with a quick response time to climate change and human influences (e.g. grazing, greening projects, and fixation structures). Their migration rates and their development can help to gather information about changing environmental conditions over time. The Source Area of the Yellow River (SAYR), located upon the Tibetan Plateau, is highly complex with topographical, hydrological, and climatological influences on active dunes, making it a good study area for these interactions. Based on remote sensing datasets, spanning the last 54 years, 415 dunes were mapped for migration rate calculations. Further, climate data from ERA-5 reanalysis and a local climate station was used to assess their changes within a changing climate. Generally, dune migration rates are rather slow with an average of 3.62 m y-1. In accordance, the averaged resultant drift potential (RDP) values are lower than 10 m3/s−3(−|-). Further, we assessed the density development of the main active barchan dune field in direct premise of the Yellow River. Throughout the past 54 years, we observed the emergence of more than 5 new barchans per square kilometer. This increase is likely attributed to higher sand flux from the Yellow River, which has resulted from increased discharge due to declining snowfall and rising precipitation levels.

Streamflow Variation under Climate Conditions Based on a Soil and Water Assessment Tool Model: A Case Study of the Bailong River Basin

We coupled the global climate models (GCMs) from the sixth phase of the Coupled Model Intercomparison Project (CMIP6) and Future Land Use Simulation model (FLUS) to evaluate land use change in the Bailong River Basin (BRB) under three shared socioeconomic pathway and representative concentration pathway scenarios (SSP1–2.6, SSP2–4.5, SSP5–8.5). Additionally, we used calibrated soil and water assessment tools (SWATs) to evaluate the streamflow in the BRB from 2008 to 2100 under the combined influence of climate and land use changes. The results indicate that (1) under the SSP126-EP scenario, forests have been well preserved, and there has been an increase in the combined area of forests and water bodies. The SSP245-ND scenario has a similar reduction pattern in agricultural land as SSP126-EP, with relatively good grassland preservation and a moderate expansion rate in built-up land. In contrast, the SSP585-EG scenario features a rapid expansion of built-up land, converting a significant amount of farmland and grassland into built-up land. (2) From 2021 to 2100, the annual average flow increases under all three scenarios, and the streamflow change is most significant under SSP5–8.5. (3) Compared to the baseline period, the monthly runoff increases, with the most significant increase occurring during the summer months (June to August). This study offers a thorough assessment of potential future changes in streamflow. Its findings are expected to be applied in the future to improve the management of water resources at a local level.

Emergence and Potential Spread of Rust Disease on Wisteria floribunda and Corydalis incisa Influenced by Climate Change in Korea

Global climate change influences the emergence, spread, and severity of rust diseases that affect crops and forests. In Korea, the rust diseases that affect Wisteria floribunda and its alternate host Corydalis incisa are rapidly spreading northwards. Through morphological, molecular, phylogenetic, and pathogenicity approaches, Neophysopella kraunhiae was identified as the causal agent, alternating between the two host plants to complete its life cycle. Using the maximum entropy model (Maxent) under shared socioeconomic pathways (SSPs), the results of this study suggest that by the 2050s, C. incisa is likely to extend its range into central Korea owing to climate shifts, whereas the distribution of W. floribunda is expected to remain unchanged nationwide. The generalized additive model revealed a significant positive correlation between the presence of C. incisa and the incidence of rust disease, highlighting the role that climate-driven expansion of this alternate host plays in the spread of N. kraunhiae. These findings highlight the profound influence of climate change on both the distribution of a specific plant and the disease a rust fungus causes, raising concerns about the potential emergence and spread of other rust pathogens with similar host dynamics.

Assessment of Association Between Observed Weather and Detrended Weather with the Detrended Rice Crop Yield in the Konkan Region of Maharashtra

Maharashtra’s total rice production (1961-2014) strongly increases. This is due to the increasing cultivated area and the influence of improved technology. Whereas, year-to-year fluctuation in production is mainly because of fluctuations in the climate. Hence, only the rice crop yield is taken for the detailed study of climate and agriculture in the selected districts from 1981 to 2014 period. Correlation analysis indicates the influence of climate change on detrend yield. A heavy shower of rain and hail can cause immense damage to a standing crop, ready for harvest (Crop weather calendar 2003, IMD). Thus, yield is the summation of conditions in all successive weeks of the crop. Correlation analysis was carried out to see the impact of observed weather with detrend yield and detrended weather with detrend yield. The Research Work explores the importance of additional Climatic variables, other than Temperature and Rainfall, and their impact on Rice crop yield. There is a significant relationship between the Observed Weather Parameter and De-trended Weather Parameter with the De-trend Yield, at different Growth Stages of Crop. The study brought about the Relationship between Rice Crop Yield and Weather Parameters, with and without Climate Change.

Micromechanics of multiphase geomaterials based on micro-CT image analysis: unsaturated soil, vegetated soil, and bio-cementation

Under the influence of climate change, extreme weather events such as rainstorms may induce fluctuations in soil water content above the groundwater level, thereby causing geological disasters (e.g., landslides). To mitigate these hazards, green and low-carbon engineering measures such as vegetation reinforcement and bio-cementation are proposed. This study investigates the micromechanical properties of multiphase geomaterials—unsaturated soil, vegetation-reinforced sand, and bio-cemented sand—utilizing high-resolution computed tomography (CT) scanning technology and associated image analysis techniques. The findings are presented as follows: (1) a 4D examination of the macroscopic and microscopic behaviors of unsaturated granular materials under triaxial loading conditions was conducted using self-designed in situ CT scanning equipment. (2) Triaxial loading alters the distribution of phase interfacial surfaces in unsaturated soil, affecting its overall strength. This loading also increases the anisotropy of the solid skeleton and suction stress. (3) The global saturation of the root–soil complex diminishes with root growth, with pore distribution significantly influencing local saturation. (4) In the unsaturated MICP process, low-saturation conditions are preferable for effective cementation, although the saturation levels should be restricted to 20%. After calcification, the particle contact coordination number increases, maintaining the isotropy in the contact between the soil particles.

Characteristics and drivers of vegetation temporal dynamics in Hunan Province of China during 2002-2020

Understanding the influences of climate change and human activities on vegetation change is the foundation for effective ecosystem management. Based on the 250 m MODIS-NDVI data from 2002 to 2020, we employed Theil-Sen Median trend analysis and the Mann-Kendall test to quantify vegetation change in Hunan Province. By combining with meteorological, nighttime light index, land cover and other data, residual analysis and correlation analysis, we examined the impacts of human activities and climate change on vegetation dynamics at both the pixel level and the county level. The results showed that the normalized difference vegetation index (NDVI) in Hunan Province exhibited a spatial pattern of "overall improvement with localized degradation" during 2002-2020. Approximately 64.9% of the study area experienced significant vegetation improvement, mainly occurring in the western and central-southern parts of Hunan Province. 1.4% of the study area experienced significant vegetation degradation, mostly in the newly developed urban areas and the farmland in the Dongting Lake Plain. Human activities and climate change jointly promoted vegetation improvement in 67.9% of the study area. Human activities and climate contributed to 96% and 4% of the NDVI change, respectively. At the county level, human activities contributed to over 80% of the NDVI change in each district or county. The impacts of human activities on vegetation change exhibited significant spatial heterogeneity. Urban expansion led to vegetation degradation in the newly developed areas, while vegetation growth appeared in the old developed urban areas. The ecological restoration projects promoted vegetation restoration in the western part of Hunan Province. This study could help us better understand the spatiotemporal variations of vegetation and their responses to climate change and human activities, which would offer scientific basis for effective ecological restoration policy.

Resilience-Vulnerability Balance and Obstacle Factor Analysis in Urban Flooding: A Case Study in the Qinghai–Tibetan Plateau

Resilience-Vulnerability Balance and Obstacle Factor Analysis in Urban Flooding: A Case Study in the Qinghai–Tibetan Plateau

POWDERY MILDEW OF MANGO: CURRENT STATUS, PERSPECTIVE AND EMERGING TOOLS FOR MANAGEMENT

Mango (Mangifera indica) is an important fruit crop that belongs to the family Anacardiacae. It is considered the most delicious fruit cultivated around the tropical and sub-tropical regions of the world. In Pakistan, mango ranked second in terms of production after citrus. It plays a vital role in enriching the economy of the country. However, its production is hampered by several biotic and abiotic stresses. Fungal pathogens are a major threat to the successful production of mangoes. Powdery mildew, caused by the fungus Pseudoidium anacardii (formerly Oidium mangifera), poses a significant threat to mango crops worldwide, leading to substantial losses in yield. Previous studies confirmed that around 20-25% of yield losses in mango production occur due to powdery mildew disease, with 100% of disease incidence in major mango-growing regions. The most severe losses occur when flowering and growth flushes become infected, especially during cool and dry weather conditions. Optimal disease development typically happens within a temperature range of 11–14 °C minimum and 27–31 °C maximum, coupled with relative humidity levels of 64–72%. Despite the widespread impact, and influence of climate change, losses are increasing day by day. There is a lack of comprehensive research on the symptoms, biology, and control measures. Control is difficult due to the emergence of resistant strains and the varying levels of susceptibility of mango varieties. Therefore, it is crucial to implement integrated management techniques to control powdery mildew. To address this issue, various approaches, such as chemical control, biological control, and Nanotechnology are being employed as management strategies. This review included a brief explanation of different management strategies used against the powdery mildew of mango concerning previous studies.