Influence Of Climate Research Articles

Research on the Causes and Prevention Measures of Urban Waterlogging

Flood disaster is one of the major natural disasters in China, due to the influence of monsoon climate, seasonal distribution of precipitation and unbalanced spatial distribution, urban flood disasters in China are prone to occur frequently, endangering the safety of life and property of urban residents, and also affecting the safe operation and sustainable development of cities. Therefore, the prevention and control of urban waterlogging is not only a major livelihood project, but also a major development project. In view of the repeated failures of urban waterlogging prevention and control in China, this paper analyzes the causes of urban waterlogging from four aspects: climate change, urban expansion, drainage system, and emergency rescue, analyzes the mechanism of urban waterlogging from the perspective of disaster system theory, and finally summarizes the coping strategies of urban waterlogging based on four aspects: stormwater management, institutional mechanism, engineering construction, and emergency management, in order to provide reference and reference for urban waterlogging control.

Hybridizing genetic random forest and self-attention based CNN-LSTM algorithms for landslide susceptibility mapping in Darjiling and Kurseong, India

Landslides are a prevalent natural hazard in West Bengal, India, particularly in Darjeeling and Kurseong, resulting in substantial socio-economic and physical consequences. This study aims to develop a hybrid model, integrating a Genetic-based Random Forest (GA-RF) and a novel Self-Attention based Convolutional Neural Network and Long Short-term Memory (SA-CNN-LSTM), for accurate landslide susceptibility mapping (LSM) and generate landslide vulnerability-building map in these regions. To achieve this, we compiled a database with 1830 historical data points, incorporating a landslide inventory as the dependent variable and 32 geo-environmental parameters from Remote Sensing (RS) and Geographic Information Systems (GIS) layers as independent variables. These parameters include features like topography, climate, hydrology, soil properties, terrain distribution, radar features, and anthropogenic influences. Our hybrid model exhibited superior performance with an AUC of 0.92 and RMSE of 0.28, outperforming standalone SA-CNN-LSTM, GA-RF, RF, MLP, and TreeBagger models. Notably, slope, Global Human Modification (gHM), Combined Polarization Index (CPI), distances to streams and roads, and soil erosion emerged as key layers for LSM in the region. Our findings identified around 30% of the study area as having high to very high landslide susceptibility, 20% as moderate, and 50% as low to very low. The vulnerability-building map for 244,552 building footprints indicated varying landslide risk levels, with a significant proportion (27.74%) at high to very high risk. Our model highlighted high-risk zones along roads in the northeastern and southern areas. These insights can enhance landslide risk management in Darjeeling and Kurseong, guiding sustainable strategies for future damage qualification.

Assessing the influence of climate on the growth of green ash trees from five Plant Hardiness Zones growing in a range-wide provenance test near the species’ northern range limit

Green ash is threatened with extirpation from emerald ash borer (EAB) attack. Because green ash has an extensive range, its restoration could require both breeding for EAB resistance and possible adaptation to a variety of environmental gradients. We assessed the growth and climate sensitivity of green ash from five Plant Hardiness Zones (PHZs) growing in a range-wide provenance test in Vermont. Although there tended to be greater growth among trees from the warmest PHZ (7), differences were rarely statistically distinguishable. For trees from all PHZs, growth was positively correlated with precipitation in the current year and negatively correlated with precipitation the year before (a possible legacy effect). Growth was negatively associated with temperature the year of ring formation but positively associated with temperatures the year before. Growth was often positively correlated with winter snow but was negatively associated with spring or fall snow for the warmest PHZs. Climate correlations for PHZ 3 were unusual in that (1) only positive correlations were detected, (2) no legacy effects were noted, and (3) despite being from the coldest region, no correlations with snow were found. Growth increased over time for the warmest PHZs during a period of simultaneous increases in temperature and precipitation.

Soybean (Glycine max L. Merrill): A Multipurpose Legume Shaping Our World

Soybean (Glycine max L. Merrill), indigenous to East Asia, has assumed a pivotal role as a global substantial crop, substantially contributing to food security, a wide spectrum of product lines and rigorous scientific exploration. This unassuming legume, bearing the scientific nomenclature Glycine max L. Merrill, has transcended its East Asian origins to become a cornerstone in supplying 25% of the world's edible oil and approximately two-thirds of the global livestock protein concentrate. The significance of soybeans extends beyond their utility in direct human consumption; they serve as an indispensable component in crop rotation, thereby fostering soil health and averting erosion. This comprehensive review embarks on a profound exploration of soybeans, encompassing their historical significance, botanical attributes, geographical distribution, climatic influence and reproductive biology. Furthermore, it provides a detailed account of advancements in genetic enhancement and biotechnological applications within soybean breeding, emphasizing the importance of transgenic soybean production. Disease resistance efforts, including the identification of resistance loci, markers and mutations, are thoroughly discussed, with a specific focus on the improvement of Indian soybean varieties.

Faecal Standing Crop with real time correction using scat detection dogs to estimate population density

Abstract Population density is fundamental information for assessing the conservation status of species and support management and conservation actions for in situ populations, but is unknown for many forest species due to their difficulty in detection. The Faecal Standing Crop (FSC) method using detection dogs is an alternative for cryptic or elusive species. An intrinsic difficulty of FSC is the ability to find faecal samples in the field and to estimate the probability of which faeces detection is influenced by degradation due to climatic conditions. Our goal was to propose a concurrent FSC parameter estimation using a scat detection dog under different climatic conditions and apply those parameters in a wild deer population. Ten faecal samples of grey brocket deer (Subulo gouazoubira) were placed weekly in a transect (24 × 1440 m) in both dry and wet seasons (12 weeks each). A scat detection dog was then employed to find experimental faecal samples to determine the FSC parameters that were subsequently used with naturally occurring faecal samples (also dog‐detected) to estimate population density. The oldest dog found samples were 21 (Dry) and seven (Wet) days after placement, resulting in dog efficiency of 22.5% (Dry) and 30% (Wet). Adjusting the model to account for efficiency and scat durability, we estimated similar, seasonal, densities of 4.51 individuals km−2 (SD = 2.21, Dry) and 5.37 individuals km−2 (SD = 3.71, Wet). Synthesis and applications: Our results demonstrate that our concurrent methodology corrected the effects of weather and habitat on FSC parameters thereby allowing for accurate population density estimation. Additionally, this method can provide reasonably precise density estimates with a logistically feasible sample size, as demonstrated by simulation. Following our recommendations, this method allows a reliable estimate of population density because it incorporates any influence of study area, dog ability and climate in faecal sample detection, providing fundamental information for the conservation of many cryptic and elusive species.

Influence of Climate and Plant Phenology (Plant Age and Growth Stage) Influence Rhopalosiphum Padi L. Abundance on Wheat Plants in Luxor Governorate, Egypt

Field experiments were conducted at El-Mattana Agricultural Research Station, Luxor Governorate, during two successive wheat growing seasons (2017/18 and 2018/19). This was to study the seasonal abundance of Rhopalosiphum padi (Hemiptera: Aphididae) on wheat plants (Giza 171 cultivar). We also investigated the effects of climate and plant phenology on the R. padi population density. Results indicated that R. padi infested wheat plants from December 17, 2017, until April 8, 2018, within the first growing season (2017/18), and from Jan. 27th, 2019, up to April 13th, 2019, within the second growing season (2018/19). The cumulative counts of R. padi in growing season one was 9486.17, and in growing season two, 3444.00 individuals. The mean population of R. padi per 10 tillers over the whole first season was 80.12 ± 7.90, and for the second season, 42.36 ± 2.96. The first season, December, January, and February, had the most favorable climate for R. padi population growth (measured during weekly inspections). In contrast, February and March were more favorable in the second season. R. padi was not detected on the wheat during the wheat maturation period within both growing seasons. The combined effects of climate and plant phenology strongly correlate with R. padi population density, with explained variance (EV) of 93.86% in the first season and 99.11% in the second season. Daily mean maximum temperature was the most influential variable explaining changes in total R. padi population, with EV 28.37%in the first season and 28.62% in the second season. The data provided here can assist in the design of Integrated Pest Management (IPM) programs for aphid control on wheat plants.

A Multidimensional Analysis of Food Security, Health and Ecological Situation

Demand for food is progressively becoming challenging for ever increasing population worldwide. Majority of the discussion have focused on growing crop yield which has continuously sustained a vital approach to lessen food insecurity. Nevertheless, in spite of the fact that adequate food is presently produced per capita to nourish the population worldwide but yet a reasonable population suffers from food insecurity especially in under-developed republics. Fulfillment of upcoming food request will be more intricate by harmful variations in climate and other ecological influences, global climate change. This current paper presents true picture of a food systems method to investigate the multifaceted food security arena and highlights numerous substitutes to cop up this situation. These encompass (i) giving a outline for organizing discussions intended at increasing food security and recognizing the variety of interested parties who should be intricate; (ii) participating studies of the complete network of food system doings starting from crop harvesting to consumption of the produced food by those of the food security results i.e. continuous supply chain over yearly, consumption and accessibility rather tan merely focusing on crop production (iii) serving to both evaluate the effects of global ecological conservation on food systems and find responses to the earth system from food system activities; (iv) helping to identify intervention points for enhancing food security and examining interactions and trade-offs between bionetwork facilities and food security, and community welfare results of diverse adaptation paths; and motivation of health-care institution for augmentation of human health services (v) pinpointing where innovative study is desired.

Методы исследования психологических особенностей влияния организационного климата отдела караульной службы на исполнение обязанностей

The article is devoted to the methods of research of psychological peculiarities of the influence of the organizational climate of the guard service department on the performance of duties and the use of methodological tools, which allowed to conduct a qualitative research in this area of activity.

A network approach for multiscale catchment classification using traits

Abstract. The classification of river catchments into groups with similar biophysical characteristics is useful to understand and predict their hydrological behavior. The increasing availability of remote sensing and other large-scale geospatial datasets has enabled the use of advanced data-driven approaches to classify catchments using traits such as topography, geology, climate, land cover, land use, and human influence. Unsupervised clustering algorithms based on the Euclidean distance are commonly used for trait-based classification but are not suitable for highly dimensional data. In this study we present a new network-based method for multi-scale catchment classification, which can be applied to large datasets and used to determine the traits associated with different catchment groups. In this framework, two networks are analyzed in parallel: the first being where the nodes are traits and the second being where the nodes are catchments. In both cases, edges represent pairwise similarity, and a network cluster detection algorithm is used for the classification. The trait network is used to investigate redundancy in the trait data and to condense this information into a small number of interpretable categories. The catchments network is used to classify the catchments into clusters and to identify representative catchments for the different groups using the degree centrality metric. We apply this method to classify 9067 river catchments across the contiguous United States at both regional and continental scales using 274 non-categorical traits. At the continental scale, we identify 25 interpretable trait categories and 34 catchment clusters of sizes greater than 50. We find that catchments with similar trait categories are typically located in the same region, with different spatial patterns emerging among clusters dominated by natural and anthropogenic traits. We also find that the catchment clusters exhibit distinct hydrological behavior based on an analysis of streamflow indices. This network approach provides several advantages over traditional means of classification, including better separation of clusters, the use of alternate similarity metrics that are more suitable for highly dimensional data, and reducing redundancy in the trait information. The paired catchment–trait networks enable analysis of hydrological behavior using the dominant trait categories for each catchment cluster. The approach can be used at multiple spatial scales since the network topologies adjust automatically to reflect the trait patterns at the scale of investigation. Finally, the representative catchments identified as hub nodes in the network can be used to guide transferable observational and modeling strategies. The method is broadly applicable beyond hydrology for classification of other complex systems that utilize different types of trait datasets.

Influence of climate, physical and chemical variables on the taxonomic and functional responses of macroinvertebrate communities in tropical island rivers

Influence of climate, physical and chemical variables on the taxonomic and functional responses of macroinvertebrate communities in tropical island rivers

Bears into the Niche-Space: Phylogeography and Phyloclimatic Model of the Family Ursidae

Assessing niche evolution remains an open question and an actively developing area of study. The family Ursidae consists of eight extant species for which, despite being the most studied family of carnivores, little is known about the influence of climate on their evolutionary history and diversification. We evaluated their evolutionary patterns based on a combined phylogeography and niche modeling approach. We used complete mitogenomes, estimated divergence times, generated ecological niche models and applied a phyloclimatic model to determine the species evolutionary and diversification patterns associated with their respective environmental niches. We inferred the family evolutionary path along the environmental conditions of maximum temperature and minimum precipitation, from around 20 million years ago to the present. Our findings show that the phyloclimatic niches of the bear species occupy most of the environmental space available on the planet, except for the most extreme warm conditions, in accordance with the wide geographic distribution of Ursidae. Moreover, some species exhibit broader environmental niches than others, and in some cases, they explore precipitation axes more extensively than temperature axes or vice versa, suggesting that not all species are equally adaptable to these variables. We were able to elucidate potential patterns of niche conservatism and evolution, as well as niche overlapping, suggesting interspecific competitive exclusion between some of the bear species. We present valuable insights into the ecological and evolutionary processes driving the diversification and distribution of the Ursidae. Our approach also provides essential information for guiding effective conservation strategies, particularly in terms of distribution limits in the face of climate change.

Preventing workplace mistreatment and improving workers’ mental health: a scoping review of the impact of psychosocial safety climate

BackgroundWork environment is rapidly evolving, unfortunately, it is also becoming increasingly hostile for workers due mostly to common psychosocial hazards. This situation is posing significant challenges for organisations to protect the psychological well-being of their workers. Hence, this review aims to map studies to understand the influence of psychosocial safety climate (PSC) on workplace mistreatment and mental health of workers.MethodsThe guidelines outlined by Arksey and O’Malley were adopted for this review. PubMed, Scopus, Web of Science, JSTOR, Google and Google Scholar were searched for relevant papers. Only peer-reviewed studies that measured PSC using PSC-12, PSC-8 or PSC-4 were included in this review.ResultsThirty-eight studies met the inclusion criteria. This review found that PSC has a negative association with workplace mistreatment such as bullying, harassment, violence, discrimination and abuse. Further, PSC has a positive association with psychological well-being, personal resilience and hope. Low level organisational PSC also promotes psychological distress, stress, depression, cognitive weariness and emotional exhaustion. The buffering effect of PSC is well-established. Moreover, PSC mediates the association between health-centric leadership and workers’ psychological health problems. The inverse relationship between PSC and depressive symptoms was stronger for females than males.ConclusionOrganisations should prioritise training and development of supervisors to enhance their supportive skills, encourage respectful behaviour, encourage the use of resources promote open and bottom-up communication and provide guidance on conflict resolution. By promoting a high PSC context, organisations can create a culture that discourages mistreatment, leading to increased employee well-being, job satisfaction, and productivity.

Asymmetric Influences of ENSO Phases on the Predictability of North Pacific Sea Surface Temperature

AbstractThe North Pacific sea surface temperature (SST) has a profound climatic influence. The El Niño‐Southern Oscillation (ENSO) significantly impacts the North Pacific SST; however, the influence of the distinct phases of ENSO on SST predictability remains unclear. To overcome the model limitations, this study assessed SST predictability under diverse ENSO phases using reanalysis. The predictability limit of the North Pacific SST under La Niña (8.4 months) is longer than that under Neutral (5.9 months) and El Niño (5.5 months) conditions, which unveils asymmetry. This asymmetry mirrors contemporary multimodal prediction skills. Error growth dynamics reveal La Niña's robust signal strength with a slow error growth rate, in contrast to El Niño's weaker signal and faster error growth. There exhibits intermediate signal strength and elevated error growth in Neutral condition. Physically, predictability signal strength aligns with SST variability, whereas the error growth rate correlates with atmospheric‐ocean heating anomalies. La Niña, which induces positive heating anomalies, minimizes the impact of atmospheric noise, resulting in lower error growth. The result is beneficial for improving North Pacific SST predictions.

Pengaruh Budaya Dan Iklim Sekolah Terhadap Efektivitas Sekolah

The aim of this research was to determine the influence of culture and school climate, either partially or simultaneously, on the effectiveness of State Elementary Schools in the Sukawangi District, Bekasi Regency. The research was conducted quantitatively with a correlational design. Data collection techniques involved questionnaires administered to a population and sample of 146 teachers. Data analysis included descriptive, linearity, and multicollinearity analyses. Hypothesis testing was conducted using F and t tests. The results of the study indicate that there is a significant influence of school culture on school effectiveness, followed by a significant influence of school climate on school effectiveness, and there is also a significant combined influence of school culture and climate on school performance effectiveness. Conclusion: effective schools are influenced by many aspects, one of which is the culture and climate of the school, which significantly affect school performance effectiveness.

ПЛАНИРОВАНИЕ И РЕАЛИЗАЦИЯ СТРОИТЕЛЬНЫХ РАБОТ ПРИ ТОЧЕЧНОЙ ЗАСТРОЙКЕ ДЛЯ ОПРЕДЕЛЕНИЯ УДЕЛЬНЫХ ПЫЛЕВЫХ ВЫБРОСОВ

Abstract. The construction industry is one of the significant sources of environmental damage. The effects of dust pollution have an impact on all stages of the building's life cycle, from the start of work on the construction site to completion, operation and demolition. Despite the fact that the stage of work implementation does not last long in comparison with other stages of the life cycle of an investment and construction project, the construction stage has a number of significant impacts on the environment. The development of the construction industry requires the comprehensive assessment and investigation of the construction site as a source of pollu-tion, identification and evaluation of all sources of dust pollution on the construction site, the processes of dust pollution propagation in an urban environment. 
 The article offers an analysis of data on field studies of the degree of atmospheric air pollution in the territory of Rostov-on-Don, an analysis of the volume of construction dust emissions from construction works, a method for calculating control over the implementation of construction processes and the spread of dust pollution generated in the atmospheric air, indi-cators of the maximum, average daily emission concentration of fine dust PM2.5 and PM10 formed from construction production and the ability to control the level of pollution on the construction site. There are no fundamental studies on the calculation of dust emission from construction works during spot construction. Based on the field studies conducted earlier using the Handheld 3016 particle counter, data on dust emissions from construction processes under various climatic influences were obtained.
 Subject: analysis of data on field studies of the degree of atmospheric air dustiness in the territory of Rostov-on-Don, the volume of emissions of construction dust from construction work on construction sites in urban conditions.
 Materials and methods: conducting systematic measurements of the degree of dust in Rostov-on-Don using the Lighthouse Handheld 3016 IAQ manual particle counter, taking into account typical climatic, heterogeneous factors of the territory on which the city is located. Systematic monitoring of several construction sites where residential complexes similar in technology and conditions were built in the most dusty area of Rostov-on-Don and the selection of five construction sites for the development of a calendar schedule for construction and installation work, taking into account specific emissions of dust particles and climatic conditions for calculating the dust pollution factor.
 Results: an effective approach that can be usefully applied to the determination of dust emissions on the construction site, to calculate the gross emission of dust released on the site from construction work, daily indicators of the maximum single and average daily concentration, as well as to dust dispersion with the determination of zones exceeding the MPC indicators is the use of network modeling with further calendarization to predict these types of indicators during the design and implementation of construction production.
 Conclusions: based on the data obtained, it can be concluded that with the existing implemented organization and technology of work, the concentration of fine dust particles are within the MPC, but given the background concentrations of atmospheric air in Rostov-on-Don, these indicators in a particular area will exceed the permissible MPC. The process of using existing SMR models taking into account specific dust emissions, the development of a schedule of dust pollution of a specific territory taking into account natural and climatic factors and the determination of zones of excess of MPC indicators in the process of modeling the dispersion of fine dust particles beyond the fence boundaries of the construction site will make it possible to draw up a passport of environmental safety of the nearby urbanized territory during spot development. Daily determination of dust pollution indicators will allow you to adjust the schedule of construction work. Modeling the dispersion of construction dust, taking into account the direction and speed of the wind, will make it possible to monitor the zones of exceeding the MPC of the neighboring territory on a daily basis and adjust measures to extinguish dust emissions at the construction site.

Leaf trait plasticity reveals interactive effects of temporally disjunct grazing and warming on plant communities.

Changes in climate and grazing intensity influence plant-community compositions and their functional structure. Yet, little is known about their possible interactive effects when climate change mainly has consequences during the growing season and grazing occurs off growing season (dormant season grazing). We examined the contribution of trait plasticity to the immediate responses in the functional structure of plant community due to the interplay between these two temporally disjunct drivers. We conducted a field experiment in the northern Mongolian steppe, where climate was manipulated by open-top chambers (OTCs) for two growing seasons, increasing temperature and decreasing soil moisture (i.e., increased aridity), and grazing was excluded for one dormant season between these two growing seasons. We calculated the community-weighted mean (CWM) and the functional diversity (FD) of six leaf traits. Based on a variance partitioning approach, we evaluated how much of the responses in CWM and FD to OTCs and dormant season grazing occur through plasticity. The interactive effect of OTCs and the dormant season grazing were detected only after considering the role of trait plasticity. Overall, OTCs influenced the responses in CWM more than in FD, but the effects of OTCs were much less pronounced where dormant season grazing occurred. Thus, warming (together with decreased soil moisture) and the elimination of dormant season grazing could interact to impact the functional trait structure of plant communities through trait plasticity. Climate change effects should be considered in the context of altered land use, even if temporally disjunct.

Mathematical modeling of the creation process and aging of polymer composite materials

Based on the analysis of the literature on the possibility of using neural networks to create new materials with high functional properties, the article considers a solution to the problem of determining the operational stability of polymeric composite materials by creating physical and chemically sound mathematical prediction models. Epoxy resins of the UP-637 and EA brands with an isophorone diamine hardener were chosen as the matrix of the model composite material, and oligobutadiene rubber of the SKN-10 KTR brand was chosen as the modifier. It justifies directions of work necessary for development of new materials creation methodology with optimal characteristics, building a model for changing the properties of materials at variation of composition and implementation of full-scale mathematical modeling of physical and chemical processes of polymer composite materials aging at changing level and time of climatic factors influence. Verification of the obtained dependence of service characteristics on the composition of the material and the level of influencing climatic factors was carried out on the basis of data from full-scale tests in a temperate climate. The proposed methodology for modelling the properties of polymer composite materials will reduce the development time of new materials and allow creation of polymer composites based on epoxy resin containing fillers of various natures (carbon, mineral and polymer) with high performance parameters.

THE EFFECT OF JOB STRESS AND ORGANIZATIONAL CLIMATE ON TURNOVER INTENTION WITH JOB SATISFACTION AS A MEDIATION VARIABLE

This study explores the influence of work stress and organizational climate on turnover intention by considering the role of job satisfaction as a mediator. Through analysis of 135 respondents from several housing development companies in Pekanbaru City, using the Simple Random Sampling method, we found that work stress has a positive and significant influence on the desire to change jobs. Apart from that, job satisfaction has also been proven to mediate the relationship between job stress and turnover intention. The results also show that organizational climate has a negative and significant influence on turnover intention, however, job satisfaction also mediates the relationship between organizational climate and desire to change jobs. Proposed suggestions include expanding mental wellbeing support programs to deal with work stress, improving communication between management and employees to improve organizational climate, implementing balanced work policies to increase job satisfaction, and conducting interviews to identify key factors that drive turnover intention.

Occurrence, probable causes, and management of forest wildfires in the Northern Highlands of Pakistan

Pakistan is forest-deficient and cannot afford forest losses associated with large-scale wildfire destruction. The Northern Mountainous Range (NMR) in Khyber Pakhtunkhwa province has substantial forest cover, yet complex human-environment interactions have created vast fire-prone areas. This study examines the historical and environmental drivers of wildfires in the NMR and prospective management strategies to reduce their devastating impacts. We reviewed news articles and surveyed local fire management offices to obtain records of fire occurrences to develop a spatial model. We used the maximum entropy (MaxEnt) model to evaluate wildfire probability based on climatic influences and found district Swat and neighboring areas in the NMR region to be a forest fire hotspot due mainly to factors of precipitation. Furthermore, an analysis was conducted on regional environmental governance, encompassing legislative factors that impede fire safety and deficient fire management budgets. In addition, we detailed the recognized causes of forest fires in the area, revealing a significant human contribution. There is a rising consensus that governance regionally, locally, and within communities must comprehensively handle the compounding and complicated concerns surrounding wildfires. This extensive analysis seeks to impact regional management to support fire protection through actions to update the forest policy, encourage participatory planning and governance at the local level, prepare for future forest fires by allocating enough budget for emergency disasters, raise public awareness, and educate the public about forest fire dangers.

Multiple Uplift and Exhumation of the Southeastern Tibetan Plateau: Evidence from Low‐Temperature Thermochronology

AbstractSince the Cenozoic, the Tibetan Plateau has experienced large‐scale uplift and outgrowth due to the India–Asia collision. However, the mechanism and timing of these tectonic processes still remain debated. Here, using apatite fission track dating and inverse thermal modeling, we explore the mechanism of different phases of rapid cooling for different batholiths and intrusions in the southeastern Tibetan Plateau. In contrast to previous views, we find that the coeval granitic batholith exposed in the same tectonic zone experienced differential fast uplift in different sites, indicating that the present Tibetan Plateau was the result of differential uplift rather than the entire lithosphere uplift related to lithospheric collapse during Cenozoic times. In addition, we also suggest that the 5–2 Ma mantle‐related magmatism should be regarded as the critical trigger for the widely coeval cooling event in the southeastern Tibetan Plateau, because it led to the increase in atmospheric CO2 level and a hotter upper crust than before, which are efficient for suddenly fast rock weathering and erosion. Finally, we propose that the current landform of the southeastern Tibetan Plateau was the combined influences of tectonic and climate.