Effects Of Climate Change Research Articles

WMO Global Energy Resilience Atlas—Climate Risk Indices for Hydropower

The importance of energy transition was underlined at COP28 in Dubai, where governments committed to tripling renewables capacities and doubling the rate of energy efficiency by 2030. However, the power generated by climate-dependent energy sources exhibits greater vulnerability to potential climate changes in the long term. Therefore, climate models play a pivotal role in estimating the effects of climate change on renewables in the context of strategic planning for the development and operation of new renewable power plants. In this context, the World Meteorological Organization (WMO) developed a Global Energy Resilience Atlas aimed at providing insights into the climate change risks for the hydropower sector, the largest renewable electricity source for most countries, generating over 4300 TWh globally. This study focuses on defining four Hydro Climate Risk indices (HCRIs) using historical and climate projection precipitation data for three climate scenarios. The final product is a freely available and interactive tool. The developed methodology and tool address how climate changes have historically affected hydropower generation and how they will impact the future at national scales. The final product also addresses the needs of policymakers at national, regional, and global levels in crafting long-term planning for a more secure energy sector, accelerating the energy transition to more sustainable and reliable energies.

Development of an 8K SNP chip to assess adaptive diversity and hybridization in polar bears

AbstractThe polar bear (Ursus maritimus) is a species particularly vulnerable to the effects of climate change. As the climate warms, polar bears will be forced to move to more suitable habitats which are likely to shrink, adapt to the new conditions, or decline in population size. However, the genomic diversity within and among all 19 subpopulations of polar bears, and therefore their adaptive potential, is currently unknown. In addition, warmer climates are likely to result in more frequent contact between polar bears and grizzly bears (U. arctos), with which they can hybridize. Here we describe the development, quality control, and application of the Ursus maritimus V2 SNP chip. This 8 K SNP chip contains loci explicitly selected to assess both RAD-derived and transcriptome-derived loci, as well as SNPs to detect hybridization between species. A total of 7,239 loci (90.3% of those printed) were successfully genotyped, with over 99% genotype concordance for individuals typed in duplicate on this chip, and between individuals typed here and on the Ursus maritimus V1 SNP chip. Using simulations, we demonstrate that the markers have high accuracy and efficiency to detect hybridization and backcrosses between polar bears and grizzly bears. However, empirical analysis of 371 polar bears, 440 grizzly bears, and 8 known hybrids found no novel instances of recent hybridization. The Ursus maritimus V2 SNP chip provides a powerful tool for monitoring the adaptive potential of this species along with assessing population structure, quantitative genomics, and hybridization in polar bears.

Impacts of vegetation greening and climate change on trend and interannual variability in vegetation productivity in the Wuyi Mountain region

ABSTRACT The Gross Primary Productivity (GPP) is an important component in regional and global carbon budgets. Southeastern China has experienced vegetation greening and climate change. Yet, it remains unclear how these changes have impacted GPP in this region. As one of six special national parks in China with complex topography, high biodiversity, and little destructive human activities to the ecosystems, the Wuyi Mountain region is selected to study these impacts. In this study, we use a hydroecological model (BEPS-TerrainLab V2.0) to simulate the spatial and temporal variations of GPP in the Wuyi Mountain region over 2001–2018. We quantitatively separate the effects of vegetation greening and climate change on the trend and interannual variation in GPP through sensitivity experiments. The results show a significant increasing trend in Leaf Area Index (LAI) in the region over 2001–2018 (0.06 m2 m−2 yr−1, p < 0.01). For climate, a significant warming trend (0.03°C yr−1, p = 0.06) and an insignificant wetting trend are found, companied with large interannual variations. The sensitivity experiments suggest that the combined effect of vegetation greening and climate change makes the annual GPP increase significantly over 2001–2018 (14.41 g C m−2 yr−2, p < 0.01). Vegetation greening plays a dominant role in the GPP increasing trend with a positive contribution of 15.76 g C m−2 yr−2. Climate change only makes an insignificant negative contribution (−0.43 g C m−2 yr−2), mainly due to warming. However, the climate modulates the interannual variation of GPP dominantly, with temperature being the most influential climate factor. Our results underscore the critical impact of vegetation greening on the GPP trend and the impact of climate on the GPP interannual variation in this subtropical forest region over east coast of China.

Understanding the role of hope in climate change risk perception: a cross-sectional study

Italy is experiencing the negative effects of climate change, which is causing considerable damage. Evidence of the damage is increasing citizens’ concern about climate change. According to many researchers, investigating the factors that drive and shape risk perception of climate change is of paramount importance to predicting public willingness to help combat it. Recently, the Climate Change Risk Perception model (CCRPM) was validated, showing its efficacy. However, the CCRPM does not consider some psychological variables related to people’s confidence that climate change can be mitigated. The purpose of the present study is to replicate CCRPM in the Italian context and to shed light on whether the addition of the Climate Change Hope variable can improve the explanatory power of this model. Results indicate that the CCRPM explains 49% of the variance of climate change risk perception and the addition of Climate Change Hope improves the model. Knowledge of impacts of climate change, social norms, value orientations, affect, and personal experience with extreme weather events were all identified as significant predictors. Affective and social norms factors explained significantly more variance in risk perception than other variables. These results suggest that climate change risk perception is a complex and multidimensional construct and that risk communicators should take an integrative approach by stimulating citizens’ affective and experiential processing mechanisms.

Predicting the potential risk of Caragana shrub encroachment in the Eurasian steppe under anthropogenic climate change

Climate change and human activities drive widespread shrub encroachment in global grassland ecosystems, particularly in the Eurasian steppe. Caragana shrubs, the primary contributors to shrub encroachment in this region, play a crucial role in shaping the ecosystem's structure and function. Future changes in the suitable distribution range of Caragana species will directly affect the ecological security and sustainable socio-economic development of the Eurasian steppe ecosystem. We used an ensemble modeling approach to predict Caragana shrub-dominated plant communities' current and future distribution in three major steppe subregions: the Black Sea-Kazakhstan steppe, the Tibetan Plateau steppe, and the Central Asian steppe. We assessed the potential risk of Caragana shrub encroachment by predicting changes in the suitable distribution area of 19 Caragana shrub species under future climate changes. Our research findings suggest that the expansion of Caragana species in different subregions of the Eurasian steppe is influenced by the effects of climate change in various ways. The distribution of Caragana species is primarily influenced by precipitation and temperature, and the global human modification (ghm) has a significant impact on the Central Asian and Tibetan Plateau subregions. Minimal changes are expected in the Black Sea-Kazakhstan subregion, a slight increase on the Tibetan Plateau, and a substantial rise in the Central Asian subregion, which suggests a higher potential risk of Caragana species shrub encroachment in that area. Our research provides valuable insights into the response of Caragana shrub encroachment to changing climates and human activities. It also has implications for the sustainable management of different areas of the vast Eurasian steppe ecosystem.

Current and Future Effects of Climate Change on Airborne Allergens.

Delineation of the impact of elevated carbon dioxide and concomitant global warming on airborne allergens is performed. European tree pollen trends in general showed earlier start and end dates and increased total pollen release, with some differences both in locale and among species. Earlier flowering was also seen with grasses and weeds. In the case of some boreal trees, flowering was delayed due to a pre-seasonal requirement for necessary accumulated chilling temperature to achieve bud-set. Anthropogenic climate change induced rise in temperature and CO2 levels has resulted in demonstrable increases in aeroallergens. This has been most dramatic in tree pollen annual load, but also seen with grasses and weeds. Collected data is greatest for the Northern Hemisphere, especially the European continent, with supporting data from North America and Australia.

Impact of Climate Change on Animal Health and Mitigation Strategies: A Review

Climate change, a global phenomenon of present time, has emerged as the greatest challenge of the world in the twenty-first century. The impact of climate change is multifaceted and affects various aspects of the ecosystems as human, animals and environment. Climate change is one among the major threat for the sustainability of livestock systems. The direct effects of climate change on animal health are mainly due to changes in environmental conditions such as air temperature, relative humility, precipitation, drought, and flood and reflect mainly in the form of heat stress and reproductive problems. Indirect effects lead to infectious, vector borne and parasitic diseases occurrence. The mitigation strategies should focus upon climate resilient breeding and shelter management practices along with sustainable disease surveillance, conservation of natural habitats and society awareness and education.

Determining factors and barriers to the uptake of climate change adaptation strategies of agriculture and aquaculture farm households in Myanmar

PurposeClimate change is an undeniable reality that threatens people’s livelihoods. Flooding and saltwater intrusion, along with the rising sea levels, are affecting agricultural and aquaculture livelihoods in Myanmar’s coastal areas. Although climate change adaptation is gaining popularity as a resilience strategy to cope with the negative effects of climate change, both agriculture- and aquaculture-farmers are more often deterred from implementing climate change adaptation strategies due to practical availability and socioeconomic barriers to adaptation. This study aims to evaluate the barriers and factors that influence farm household’ choice of climate change adaptation measures.Design/methodology/approachThis study was conducted with 599 farm households (484 rice-farmers and 115 fish farmers) based in the coastal areas of Myanmar during 2021–2022 to explore the farmer’s choice of climate change adaptation measures and the determining factors. The multinomial logit regression (MLR) model was used to examine the factors influencing the farmers’ choice of climate change adaptation strategies.FindingsThe study found out that farm households use a variety of adaptation methods at the farm level, with building embankment strategy (23.4%) in agriculture and net-fencing measure (33.9%) in fish farming being the most popular adaptation strategies. Farmers’ decisions to adopt climate change adaptation strategies are influenced by factors such as distance to market, education level of the household head, remittance income and the availability of early warning information, among others. The study also discovered that COVID-19 has had an impact on the employment opportunities of household members and the income from farming as well had a consequential effect on the adoption of climate change adaptation measures. Furthermore, lack of credit (42.4%), labor shortage (52.8%), pest and disease infestation (58.9%), high input costs (81%) and lower agricultural product prices (73%) were identified as major barriers to the adoption of climate change adaptation measures by both agriculture and aquaculture farm households.Originality/valueThis study demonstrates that the COVID-19 pandemic and farm-level barriers are the major factors influencing farm households’ choice of climate change adaptation measures, and that removing practical farm-level barriers and encouraging the adoption of adaptation techniques as potential COVID-19 recovery actions are required. This study also highlighted that the adaptive capacity of agriculture and aquaculture farm households should be strengthened through formal and informal training programs, awareness raising, the exchange of early warning information and the development of proper credit scheme programs.

Effects of climate warming on soil nitrogen cycles and bamboo growth in core giant panda habitat

Climate change can pose a significant threat to terrestrial ecosystems by disrupting the circulation of soil nitrogen. However, experimental analyses on the effect of climate change on soil nitrogen cycles and the implications for the conservation of key wildlife species (i.e., the giant panda, Ailuropoda melanoleuca) remain understudied. We investigated the effects of a 1.5 °C, 3 °C, and 4.5 °C temperature increase on nitrogen distribution in different soil layers of bamboo forest via an in-situ experiment and assessed the implications for the growth and survival of arrow bamboo (Bashania faberi), a critical food resource for giant pandas. Our results showed that warming treatments generally increased soil N content, while effects differed between surface soil and subsurface soil and at different warming treatments. Particularly an increase of 1.5 °C raised the subsurface soil NO3-N content, as well as the content of N in bamboo leaves. We found a significant positive correlation between the subsurface soil NO3-N content and the N content of arrow bamboo. An increase of 3–4.5 °C raised the content of total N and NO3-N in the surface soil and led to a reduction in the total aboveground biomass and survival rate of arrow bamboo. Limited warming (e.g., the increase of 0–1.5 °C) may promote the soil N cycle, raise the N-acetylglucosaminidase (NAG) enzyme activity, increase NO3-N in subsurface soil, increase the N content of bamboo, and boost the biomass of bamboo – all of which could be beneficial to giant panda survival. However, higher warming (e.g., an increase of 3–4.5 °C) resulted in mass death of bamboo and a large reduction in aboveground biomass. Our findings provide a cautiously optimistic scenario for bamboo forest ecosystems under low levels of warming over a short period of time, but risks from higher levels of warming may be serious, especially considering the unpredictability of global climatic change.

Climate‐resilient water infrastructure: A call to action

AbstractThe effects of climate change have put tremendous stress on our existing water infrastructure and necessitate rethinking of how we govern and manage these systems. This commentary is a call to action for placing a holistic understanding of climate resilience at the center of water governance, understanding and approaching the issues as contextual and interdisciplinary in nature. Drawing from experiences from the Netherlands and the United States, this commentary outlines climate adaptation as policy dilemma and the role and characteristics of engineering, nature‐based, and community‐focused approaches. It concludes with some thoughts on pathways forward and an invitation for future research and dialog.

Climate Change Curricula in Family Medicine Residency Programs: Program Directors' Perspectives From a CERA Survey.

Climate change is a major threat to the health of people worldwide. The health care system deals with the immediate health-related effects of climate change and, at the same time, is a major emitter of greenhouse gas. This study aimed to investigate (a) the awareness and perception of climate change among family medicine residency program directors, and (b) the state of climate change education in family medicine residency programs. The Council of Academic Family Medicine Educational Research Alliance (CERA) conducted a cross-sectional survey of family medicine program directors in the United States in April 2023. We analyzed anonymous data using descriptive and bivariate statistics. We analyzed responses from 284 family medicine residency program directors (response rate 41.1%). Of these, 56.8% indicated not having any lectures/seminars dedicated to climate change and no plans to introduce such curricula, with considerably higher rates in East South Central United States (92.8%). A majority considered principles of climate change, carbon emissions emitted by the health care system, and discussion of climate change with patients of lesser importance for residency program education. While climate change is an emerging topic affecting health and the provision of health care worldwide, our study suggests that many family medicine residency programs do not teach about it. Family medicine trainees may not always receive sufficient education about the risks posed to their patients by climate change, which could lead to them having limited knowledge and skills when discussing this topic with their patients in the future.

Contemporary Farming and Associated Consequences of Climate Change

Aim: This review aims to synthesize current understanding of the multifaceted impacts of climate change on agriculture, examine adaptive strategies to maintain food security, and offer insights into sustainable farming practices. Objectives: The objectives are to: (1) identify the potential causes of climate change, (2) assess its effects on agriculture, and (3) discuss mitigation strategies and sustainable farming practice. Methodology: A systematic review of the literature has been performed. We conducted an in-depth study of previous research, reports, and related literature. Sources were selected based on relevance and credibility to provide a thorough examination of the impacts of climate change on agriculture. Analysis: The analysis focused on categorizing the direct and indirect effects of climate change on agricultural systems, understanding changes in crop yield, plant physiology and metabolism, and evaluating the effectiveness of various mitigation strategies. Result Findings: The findings indicate that the greenhouse effect, driven by gases such as CO2, CH4, and H2O, leads to global temperature increases. The concentration of these gases is rising, with the global average temperature expected to increase by 2°C by 2100, causing significant economic losses. While this increase has boosted plant growth and productivity through enhanced photosynthesis, the associated rise in temperature counteracts these benefits. Therefore, mitigation strategies such as nutrient management, drip and sprinkler irrigation, and sustainable agricultural practices are essential. Natural farming is a sustainable agricultural practice that offers chemical-free, healthy food while promising to increase farmers' income, improve environmental health, restore soil fertility, and reduce greenhouse gas emissions. Conclusion: Climate change poses a significant threat to global food and nutritional security by altering agricultural productivity and sustainability. Understanding these impacts and developing effective mitigation strategies is crucial. This review provides valuable insights for policymakers, researchers, and practitioners to address these challenges and ensure resilient agricultural systems capable of sustaining future food security.

Smart Farming Technologies for Sustainable Agriculture: A Review of the Promotion and Adoption Strategies by Smallholders in Sub-Saharan Africa

Small-scale farmers in sub-Saharan Africa (SSA) need to adopt and consistently practice sustainable agriculture to ensure sustainable livelihoods and food security. However, the adverse effects of climate change are threatening the achievement of this goal. Therefore, farmers within the sub-region need to embrace climate-smart agriculture (CSA) as a means for climate change adaptation and mitigation. This study was conducted to understand, on the one hand, how smart farming technologies are being promoted in sub-Saharan Africa, and on the other hand, how farmers are adopting the prevailing technologies. The Preferred Reporting Items for Systematic Reviews (PRISMA) procedures were followed to identify 48 scientific papers in sub-Saharan Africa. It was found that promoters of smart farming technologies in sub-Saharan Africa include CGSpace, FAO, National Research Institutions, individual researchers, local institutions, and private institutions. The approach to the smart farming technology discourse in sub-Saharan Africa starts by building on efforts to sustain CSA practices with a gradual shift towards the fourth agriculture revolution innovations. Even where there are efforts to push beyond conventional CSA practices by the private sector, farmers’ responses are still low. It is recommended that any intervention to promote modern smart farming technologies to smallholders should build on conventional CSA practices.

The Groundwater Management in the Mexico Megacity Peri-Urban Interface

Megacities boost peri-urban socioeconomic development but fulfill their high natural resource demands by overexploitation, yielding irreversible environmental damage in surroundings that turn into sacrifice zones. This study reports the effects on the Cuautitlán-Pachuca Valley, the Mexico City main expansion zone at the northeast of the metropolitan area on the Central Mexico plateau, the trend scenarios from 2020 to 2050, and the actions to mitigate the growing water demand that will worsen its aquifer overexploitation. We designed a conceptual archetype to apply the Water Evaluation and Planning System (W.E.A.P.) mathematical model calibrated with 2013–2014 data to calculate groundwater volume demand in future scenarios. The demand output for the international airport and agriculture was less than 5%. The local climate change effect up to 2050 will slightly reduce the infiltration. The most crucial water demand increase (195% in 2050) is due to the population and industrial growth of the Mexico City northern municipalities (89% of the total groundwater extraction volume), and the aquifer will have a notable −2192.3 hm3 accumulated deficit in 2050, while urban sprawl will decrease water infiltration by 2.3%. Mitigation scenarios such as rainwater harvesting may reduce the urban water supply only by 9%, and a leak cutback will do so by 24%, which is still insufficient to achieve sustainable water management in the future. These outcomes emphasize the need to consider other actions, such as importing water from near aquifers and treating wastewater reuse to meet the future water demand.

American College of Rheumatology White Paper: The Effects of Climate Change on Rheumatic Conditions-An Evolving Landscape and a Path Forward.

Increases in global temperatures and extreme weather events associated with climate change have complex yet poorly understood detrimental impacts on human health. We reviewed the current published literature on climate change-related effects and rheumatic conditions. To summarize our current understanding of the likely effects of climate change, including increased air pollution, on rheumatic disease, we searched the published, peer-reviewed English-language literature from January 2000 to December 2022. Articles were reviewed by a team of rheumatologists and clinical and translational science researchers. Systematic review articles were not included but informed additional literature searches. After extensive examination and adjudication, 88 articles met inclusion criteria and were selected for review. Much of the epidemiologic investigations assessed associations between air pollution and increased risk of development of rheumatoid arthritis, anti-citrullinated protein antibodies, flares of gout, and hospitalizations for systemic lupus erythematosus. Increased heat vulnerability was associated with higher odds of recurrent hospitalizations across rheumatic conditions. Mechanisms for observed associations are poorly understood but could include the effects of epigenetic changes, oxidative stress, and inflammatory cytokines. Studies had limitations, including restricted geography and populations studied without focus on historically marginalized communities at highest risk for adverse effects from pollution and climate change, the relative lack of mechanistic evaluations, and most with only indirect links to climate change. To date, the published literature lacks studies that directly examine effects of climate change on rheumatic diseases. Collaborative translational and epidemiologic research is needed to enhance our understanding and awareness in this area.

Temporal changes in geographic range and population size of the Santa Cruz Black Salamander

Abstract The Santa Cruz Black Salamander Aneides niger is a priority 3 California species of special concern with a restricted geographic range confined to the Santa Cruz Mountains. Anecdotal observations suggest that the species was relatively abundant in the early 1900’s, but it has become more difficult to find in the past few decades. To better understand if the species has undergone population size fluctuations, we analyzed mitochondrial and nuclear sequence data to examine levels of genetic variation, phylogeographic structure, and test for signatures of population size change. We then reconstructed the climatic suitability for the species to A) determine if past climate fluctuations could have influenced range size and genetic diversity, and B) to estimate the effects of future climate change on geographic range suitability as a proxy for possible future population size change. Genetic analyses detected low levels of genetic variation and a general lack of genetic structuring, suggesting a recent genetic bottleneck. While neutrality tests of individual loci were non-significant, skyline plot and isolation-with-migration analyses detected a relatively recent reduction in population size. These genetic results should be interpreted with consideration of the limited number of localities and individuals that have been sampled for this species. Climatic suitability for Santa Cruz Black Salamanders was much lower during the last glacial maximum, which could be the cause of the detected historical change in population size. Future projections of climatic suitability under a high emission scenario suggest a dramatic geographic range restriction to coastal areas. These projections highlight the need for the protection of coastal habitat patches to preserve existing coastal populations, and to maintain connectivity between coastal and inland habitats to allow the westward movement of populations and genes in response to climate change.

Legumes in Cropping System for Soil Ecosystem Improvement: A Review

Legumes are versatile crops with great potential to produce protein-rich grains, naturally fix nitrogen, and enhance beneficial microbes in the soil. In the current context of climate change and global warming, incorporating legumes into crop rotation can help mitigate the negative effects of climate change and improve soil health. Researchers at the Division of Agronomy, FoA, SKUAST-J conducted a systematic and integrative review of published studies on the effects of legumes in cropping systems for soil ecology improvement. The review included research work from different parts of the world, particularly India. The literature search was conducted between August 2023 and November 2023 and around 150 review and research papers were screened from various databases such as ARCC journals, Google Scholar, Research Gate and Scopus. Out of these, 120 papers were used to write this comprehensive review article. The article provides a detailed documentation of the significant impact of legumes in cropping systems on soil ecology improvement. It emphasizes the potential effectiveness of legumes as a strategy for maintaining soil health.

Global warming&amp;rsquo;s grip on agriculture: Strategies for sustainable production amidst climate change using regression based prediction

The intersection of climate change and food production is emerging as a critical area of research, focusing on both the potential benefits and the significant challenges posed by changing climate conditions. Elevated levels of carbon dioxide alongside rising global temperatures could theoretically boost crop yields, benefiting both human and animal consumption. This study examines the impact of various climate variables&amp;mdash;temperature, humidity, precipitation, and soil moisture&amp;mdash;on the primary production of essential foods such as rice, wheat, livestock, milk, eggs, vegetables, and fruits. Utilizing data from different countries spanning from 2000 to 2020, drawn from world development indicators, this research employs econometric analysis coupled with deep learning-based cluster analysis. Additionally, it projects future production trends up to 2100 using the moving average time series forecasting method. The findings reveal a direct correlation between climate variables and the production levels of vegetables and other food items, highlighting the immediate effects of climatic changes on agriculture. The study also points out the uneven distribution of these climate impacts, with developing countries facing more severe challenges due to their limited resources and adaptive capacities. This uneven impact contributes to increased uncertainty in food supply and affects market stability. Furthermore, concerns about food safety are intensifying under the influence of climate change, although some regions have implemented effective food conservation and control measures to mitigate these risks. This research underscores a complex landscape where the risks and benefits of climate change on food production are not uniformly distributed, but rather are influenced by a myriad of factors including geographic location, economic conditions, and the level of technological advancement in food safety practices. The nuanced understanding of these dynamics is crucial for developing targeted strategies to enhance food security in the face of a changing climate.

Responsible Artificial Intelligence for Climate Action: A Theoretical Framework for Sustainable Development

Climate change poses an urgent and significant challenge, with far-reaching impacts already affecting our planet, and projections indicating worsening conditions in the future. The concept of sustainable development aims to meet present needs while safeguarding the ability of future generations to meet their own requirements. However, climate change's effects on sustainable development are of paramount concern, as they amplify issues like poverty, food insecurity, and environmental degradation, affecting economic growth, social progress, and environmental protection. Taking immediate action to mitigate climate change and implement sustainable practices is crucial to ensuring a habitable planet for future generations. In this context, Responsible Artificial Intelligence (RAI) emerges as a promising direction, striving for ethical and responsible technology use in diverse sustainable development tasks. RAI proves to be a robust candidate for empowering climate change mitigation and adaptation efforts. This study introduces a theoretical RAI framework designed to support climate action by responsibly enabling more accurate predictions and analysis of climate data, enhancing energy efficiency, and reducing greenhouse gas emissions. The framework emphasizes the need for interdisciplinary collaboration among policymakers, scientists, and technicians to develop RAI solutions that advance sustainable development and alleviate the adverse impacts of climate change. Unlike previous works, this research presents a novel perspective on the principles of RAI that explicitly consider climate-related aspects. By laying the foundations of AI research to bolster our fight against climate change, this article establishes essential pillars that encourage further advancements in this critical endeavor.

Acceleration of the hydrological cycle and its impact on water availability over land: an adverse effect of climate change

Acceleration of the hydrological cycle and its impact on water availability over land: an adverse effect of climate change