Changes In Area Research Articles

Editorial: Climate change, human-wildlife interactions and sustainable tourism nexus in protected areas

Editorial: Climate change, human-wildlife interactions and sustainable tourism nexus in protected areas

Correlating Ultrastructural Changes in the Invasion Area of Colorectal Cancer with CT and MRI Imaging.

The cancer invasion of the large intestine, a destructive process that begins within the mucous membrane, causes cancer cells to gradually erode specific layers of the intestinal wall. The normal tissues of the intestine are progressively replaced by a tumour mass, leading to the impairment of the large intestine's proper morphology and function. At the ultrastructural level, the disintegration of the extracellular matrix (ECM) by cancer cells triggers the activation of inflammatory cells (macrophages) and connective tissue cells (myofibroblasts) in this area. This accumulation and the functional interactions between these cells form the tumour microenvironment (TM). The constant modulation of cancer cells and cancer-associated fibroblasts (CAFs) creates a specific milieu akin to non-healing wounds, which induces colon cancer cell proliferation and promotes their survival. This review focuses on the processes occurring at the "front of cancer invasion", with a particular focus on the role of the desmoplastic reaction in neoplasm development. It then correlates the findings from the microscopic observation of the cancer's ultrastructure with the potential of modern radiological imaging, such as computer tomography (CT) and magnetic resonance imaging (MRI), which visualizes the tumour, its boundaries, and the tissue reactions in the large intestine.

The experience of mood change over time for people diagnosed with bipolar disorder: a longitudinal interpretative phenomenological analysis

ABSTRACT Living with episodes of mania and depression is recognised to instil profound instability in people diagnosed with bipolar disorder, but little is known about how these mood changes arise through a person’s trajectory over time. This longitudinal study aimed to investigate the experience of mood change within and between bipolar disorder episodes. Semi-structured interviews were conducted with three women at two time points and were analysed using longitudinal interpretative phenomenological analysis to form idiographic trajectories. Three longitudinal themes illustrated the changing experiences of participants during periods of depression, euthymia (stability) and mania: (i) Extreme changes in activity and agency, (ii) Changes in feelings and connectivity, (iii) Shifting sense of the future disrupts momentum. The findings highlighted trajectories of change in key areas of the participants’ lives including activity levels, routine and agency, intensity of feelings and connectivity, and their sense of the future and progression. Changes experienced during episodes were cumulative, impacting participants’ ability to reconnect, take control and move forward during euthymia. The clinical value of mapping a client’s sense of change across BD phases is indicated, along with the need to build agency, progression and connectivity during euthymic periods. Suggestions for research and practice are discussed.

Prediction and investigation of water repeated absorption and release properties of superabsorbent polymers during the dry-wet cycles in different solutions

Superabsorbent polymers (SAP) with a three-dimensional cross-linked network structure are used in the concrete field due to their good water absorption and water retention properties. The changes of its repeated water absorption and release properties have an important impact on crack healing, but there is still a lack of relevant research. This study mainly uses the tea-bag method to explore the repeated water absorption and release behavior of sodium polyacrylate and polyacrylic acid-acrylamide copolymers in deionized water, cement filtrate, and saturated calcium hydroxide solution. The quantitative analysis of the change in the peak area of the water-absorbing functional group was performed by fourier transform infrared spectroscopy. The morphology and elements of SAP under different dry-wet cycles were analyzed by scanning electron microscope-energy spectrum analysis. The repeated swelling behavior of SAP was predicted using the classical models. The results showed that the repeated water absorption performance of SAP gradually decreased with the increase of the number of wet-dry cycles. The slope of the curve for the second-order equation gradually increases, and the peak area corresponding to the carboxyl functional group also gradually increases. And the rate and amount of water release gradually increase. For sodium polyacrylate, with the increase in the number of wet-dry- cycles, the increase in the content of calcium, magnesium, and aluminum elements is accompanied by a significant decrease in the content of sodium elements. In contrast, the calcium content on the surface of polyacrylic acid-acrylamide copolymer increased, but the sodium content only slightly decreased.

Interannual variation of summer southwest monsoon rainfall over the monsoon core regions of the eastern Bay of Bengal and its relationship with oceans

The study looked at how summer monsoon rainfall in the eastern Bay of Bengal area changes from year to year due to Indian Ocean Dipole (IOD) and El Niño Southern Oscillation (ENSO). Study used rainfall data and sea surface temperature data to see these variations. It's found that during ENSO positive phase, rainfall decreased in the eastern coastal region of the Bay of Bengal but increased in the northern Indo-Myanmar region. The opposite happened during ENSO negative phase. The study used a special analysis method called EOF and Morlet wavelet power-spectrum analysis to look for important patterns in the rainfall data and did correlation analysis to understand what causes abnormal rainfall in these regions. The study also found that the local convection and water vapor flux during ENSO positive phase are related to the anomalous rainfall in the Monsoon Core region. Rainfall is made stronger by the unusual anticyclone circulation in the upper troposphere. A strong/weak Mainland Indochina southwest monsoon (MSwM) in the positive or negative phase of ENSO can bring excess/less moisture to wet/dry the local southwest summer rainfall. In northern Indo-Myanmar, the anomalous rainfall is not only relied on the intensity of the MSwM but also the frequency of western disturbances also influences the regional rainfall, and further study need to develop.

Physician retention and migration in rural clinics designated for areas without physicians in Japan: descriptive epidemiological study using the national physicians’ survey

BackgroundIn Japan, local governments have rural clinics designated for areas without physicians (RCDA) to secure physicians for rural medical care. Moreover, a medical policy of dispatching physicians between the RCDA and core hospitals for rural areas (CHRA) exists. This study aimed to assess the actual situation of physician migration from RCDAs and those who migrated, and examine the factors associated with their migration.MethodsThis retrospective cohort study used biennial national physicians’ survey data from 2012 to 2018. It targeted physicians who worked at RCDAs in 2012 and participated in all four surveys (n = 510). The physicians were divided into two groups. One group consisted of physicians who worked continuously at the RCDA over the four study periods (retained physicians, n = 278), and the other included physicians who migrated to other institutions midway through the study period (migrated physicians, n = 232). We tracked the types of facilities where RCDA physicians worked from 2012 to 2018, also examined the factors associated with their migration.ResultsAmong physicians from RCDAs who migrated to other institutions (n = 151) between 2012 and 2014, many migrated to hospitals (n = 87/151, 57.6%), and some migrated to CHRA (n = 35/87, 40.2%). Physicians in their 40s (Hazard ratio 0.32 [95% CI 0.19–0.55]), 50s (0.20 [0.11–0.35]), and over 60 years (0.33 [0.20–0.56]) were more likely to remain at RCDAs. Changes in their area of practice (1.82 [1.34–2.45]) and an increase in the number of board certifications held by physicians between 2012 and 2018 (1.50 [1.09–2.06]) were associated with migration.ConclusionsMany migrating physicians choose to work at hospitals after migrating from RCDAs. It was seemed that the physician dispatch system between RCDA and CHRA has been a measure to secure physicians in rural areas. Young age, obtaining board certification, and changes in areas of practice were associated with physician migration from RCDAs.

Spatiotemporal evolution and driving mechanism of Dongting Lake based on 2005–2020 multi-source remote sensing data

As one of the largest inland lakes in China, Dongting Lake has attracted widespread attention owing to its rich natural resources, unique geographical landscape, and important ecological functions. Recently, Dongting Lake has experienced phenomena such as an early dry season and backflow during the flood season. Multi-source remote sensing data and the normalised difference water index (NDWI) threshold method were used to systematically analyse the water area of the lake from 2005 to 2020. Additionally, it employed a centre of gravity migration model and a geographic detector model to investigate the lake's evolution patterns and driving mechanisms. The research identified notable fluctuations in Dongting Lake's water area during this period, with a particularly sharp decline in 2006—from 1509.74 km2 to 815 km2, marking a decrease of 694.74 km2 and a shrinkage rate of 46.01 %. Spatial analysis indicated that the centre of gravity of these water areas changed primarily between Nandashan Town, the Dongting Lake Management Committee, Wanzihu Township, and Qingtan Township, underscoring their significant influence on lake dynamics, including runoff, surface water availability, sediment deposition, and precipitation, all of which displayed strong positive correlations (Pearson coefficients of 0.57, 0.68, and 0.63, respectively), whereas population density showed a negative correlation (Pearson coefficient of −0.56). Furthermore, the study highlighted the substantial impact of the Digital Elevation Model (DEM) and its interaction with slope and aspect on Dongting Lake's evolution, with Q values of 0.537 and 0.543, respectively, emphasising their critical roles in shaping lake area changes and providing a crucial scientific basis for enhancing the understanding and effective management of water resources in the Dongting Lake Basin through comprehensive analysis of its spatiotemporal evolution and driving mechanisms.

Research on controlled mining of end slope fire-burned area in open-pit mine

To solve the problem of controlling mining in the open-pit mine end slope fire-burned area, applying multivariate function fitting to the roof and floor modeling of multi-coal seam open pit mines, introducing the factor of coal quality changes in the fire-burned area, determining coal quality information at each location through proximate analysis of coal, to establish the net profit model of the mining area, it is determined the net profit of each mining position by numerical integration, the final mining position was determined without failure by calculating the slope stability based on the numerical simulation of strength reduction. Taking the Dananhu No. 2 open-pit mine in Hami, Xinjiang, China as the engineering background, the fire-burned area III within the southern end slope boundary of the first mining area is 240 m. It was finally determined that the optimal mining position is when the advancement degree is 182 m, the ultimate pit slope angle is 25°, the three-dimensional slope stability is 1.305, the profit is 671.96 million yuan, The deep boundary of the southern end slope fire-burned area of the slope is reduced by 58 m. This paper solves the problem of end slope mining in Dananhu No. 2 mine, and maximizes its net profit under the condition of ensuring safe production.

Multitemporal Analysis of Land Cover Changes in Areas with Contrasted Forest Management and Conservation Policies in Northern Mexico

This study evaluates and contrasts changes in vegetation cover over three decades in two forest areas in the State of Chihuahua in northern Mexico with different management statuses: one with sustainable forest management and the other protected as a Flora and Fauna Protection Area. The hypothesis proposed that both areas would have maintained or increased their vegetation cover since 1995. Satellite images from the periods 1995–2008, 2008–2014, 2014–2022, and 1995–2022 were analyzed. The results showed that Ejido El Largo y Anexos significantly increased forest areas and reduced grasslands due to sustainable management practices, with a notable expansion of pine–oak and pine forests. In contrast, the Tutuaca Flora and Fauna Protection Area experienced a notable loss of oak and oak–pine forests, suggesting ineffectiveness in its conservation policies. However, there was less loss in Douglas Fir forests, indicating some effective protection efforts. The comparison reveals opposing dynamics: while Ejido El Largo y Anexos demonstrates success in sustainable management, the Tutuaca Flora and Fauna Protection Area faces conservation challenges. In conclusion, this study highlights the need for active management approaches to maintain ecosystem cover and functionality.

Social‐ecological systems modeling for drought‐food security nexus

AbstractDroughts pose severe threats to social systems, particularly to food security which is one of the priority targets in the UN's sustainable development goals (SDG 2). The drought‐food insecurity nexus entails the complex social‐ecological systems (SES) relationships (e.g., feedback) that underpin food insecurity, leading to disastrous consequence to society. To advance the knowledge on capturing the SES relationships of the drought‐food insecurity nexus, an SES model was employed (first attempt) to simulate these relationships to inform policies on food security in the context of climate change in Bangladesh. Different “what if” scenarios were examined determining the possible future trajectories of the system under socio‐economic and climate scenarios. Findings revealed that (i) with business‐as‐usual scenario, crop production and food security continue to increase at the expense of declining water resources over the simulation period; (ii) temperature changes (3.5–5.7°C) and surface water reduction due to dam and sustained groundwater decline may reduce food security (~55%); (iii) tipping risk increases due to severe reduction of food security when increasing temperature (>3.5°C) is combined with upstream water withdrawal (30%–50%), subsidy reduction (50%–100%), population growth and political instability. These indicate the need for an SES system perspective for increasing crop production and food security, simultaneously ensuring sustainable water resources and climate change adaptation. The model and findings are useful to achieve food security, and other related SDGs (1&6) in the context of climate change in Bangladesh and similar areas (e.g., Kenya), informed by the consequences of plausible alternative futures.

Vibroscope method for determination of cross-sectional area of glass and carbon fibres – Theory and further development

Accurate determination of cross-sectional area of glass and carbon fibres by the vibroscope method is examined. Complete derivations of the central frequency solutions are presented, to make these derivations accessible in modern scientific literature. The effect of non-zero bending stiffness is included. The influence of shape of fibre cross-sectional area is analysed. Only small deviations in cross-sectional areas are found due to fibre shape, allowing for the use of the vibroscope method for fibres with non-circular cross-sectional areas. Two correction factors are introduced for the effect of volume change and area change of a tensioned fibre, allowing determination of the cross-sectional area of the non-tensioned fibre. A model plot of the vibroscope equation is presented, showing the numerical effect of the corrections on the fibre cross-sectional area depending on the applied tension force. The relations shown by the model plot have implications for the experimental settings of the vibroscope method.

Identify the Usage of Google Classroom Among Rural Primary School Teachers in Kedah State

The development of today's challenging education in line with technological development resulted in significant changes in areas including education. The current learning is more so as to use technology such as LMS through the Google Classroom app with a lot of help in the improvement and success of the students. The preparation of teachers in this change is also necessary to identify the level of their ability, especially in terms of acceptance and use of technology and facilitate learning process (PdPc). The Ministry of Education has launched the PAK21 programme and TS25 as a preparation to elevate the national education system. To realise this implementation, teachers play an important role in successfull of the plan. A study was conducted on the 100 teachers elected from several schools and districts to identify their use. This study is made by using quantitative method by means of information collection based on survey questions. The questionnaire was built based on a Model guide for tekonology (TAM) To view the relationship between the EU, its use facility (PEOU), Behavior (BI) and actual use (AU). Data analysis is processed using SmartPLS software to obtain results of findings. Results of the study found that there was a relationship between PEOU and BI and also between BI and AU. This shows the positive acceptance but the level of use remains low among rural primary school teachers. Therefore to ensure the use of Google Classroom certain parties should take serious attention to this matter.

Multi-factor coupled forest fire model based on cellular automata

The risk of forest fires is substantial due to uneven precipitation distributions and abnormal climate change. This study employs cellular automata principles to analyze forest fire behavior, taking into account meteorological elements, combustible material types, and terrain slopes. The Wang Zhengfei model is utilized to compute fire spread speed, and a multifactor coupled forest fire model is developed. Comparisons with experimental data show a mean calculated fire spread speed of 0.69 m/min, which is consistent with the experimental results. Using the forest fire in Anning city, Yunnan Province, as a case study with a mean burned area of 2281 ha, the burned area, rate of change in burned area, and burning area demonstrated an increasing trend, with fluctuating states in the rate of change of the burning area. Employing the controlled variable method to examine forest fire spreading patterns under varying factors such as wind speed, vegetation type, and maximum slope reveals that under wind influence, the fire site adopts an elliptical shape with the downwind direction as the major axis. Quantitatively, when the wind speed increases from 2 m/s to 10 m/s, the burned area expands by a factor of 1.37. The ratio of the combustible material configuration coefficient to the burned area remains consistent across the different vegetation types, and the burned area increases by a factor of 1.92 when the maximum slope increases from 5° to 25°.

Temporal Dynamics of Global Barren Areas between 2001 and 2022 Derived from MODIS Land Cover Products

Long-term monitoring studies on the transition of different land cover units to barren areas are crucial to gain a better understanding of the potential challenges and threats that land surface ecosystems face. This study utilized the Moderate Resolution Imaging Spectroradiometer (MODIS) land cover products (MCD12C1) to conduct geospatial analysis based on the maximum extent (MaxE) concept, to assess the spatiotemporal changes in barren areas from 2001 to 2022, at global and continental scales. The MaxE area includes all the pixels across the entire period of observations where the barren land cover class was at least once present. The relative expansion or reduction of the barren areas can be directly assessed with MaxE, as any annual change observed in the barren distribution is comparable over the entire dataset. The global barren areas without any land change (UA) during this period were equivalent to 12.8% (18,875,284 km2) of the global land surface area. Interannual land cover changes to barren areas occurred in an additional area of 3,438,959 km2 (2.3% of the global area). Globally, barren areas show a gradual reduction from 2001 (91.1% of MaxE) to 2012 (86.8%), followed by annual fluctuations until 2022 (88.1%). These areas were mainly interchanging between open shrublands and grasslands. A relatively high transition between barren areas and permanent snow and ice is found in Europe and North America. The results show a 3.7% decrease in global barren areas from 2001 to 2022. Areas that are predominantly not barren account for 30.6% of the transitional areas (TAs), meaning that these areas experienced short-term or very recent transitions from other land cover classes to barren. Emerging barren areas hotspots were mainly found in the Mangystau region (Kazakhstan), Tibetan plateau, northern Greenland, and the Atlas Mountains (Morocco, Tunisia).

Radiocarbon dating of the natural groundwater in the Ob-Zaisan folded region (Russia)

Groundwater in the Ob-Zaisan folded region (Russia) has significant differences in the stable isotope composition of oxygen and hydrogen, which cannot be explained by the geographical and relief features of the region. A probable reason for these differences could be climatic changes in the study area over the past tens of thousands of years. The method of the radiocarbon dating can be perfectly suited in order to determine such small geological ages. The dating of waters using 14C data gives an understanding of their residence time. It will make it possible to differentiate periods of recharge and accumulation of water in aquifers and track the changes of the water stable isotope composition over time. The estimated water age ranges from 650 to 19,000 years. The enrichment of δD and δ18O values with the decreasing of the water age indicates a gradual warming of the Novosibirsk region climate. These results logically complement the meteorological observations over the last century and may be useful for paleoclimate reconstructions of the region.

Elevation‐dependent warming and possible‐driving mechanisms over global highlands

AbstractElevation‐dependent warming (EDW) has been a topic of intense debate due to limited observed data in global highland areas. This study aims to fill this gap by utilizing CRU and ERA5 datasets from 1981 to 2021 to explore the trends of climate change and its elevation dependency. The anomalies of temperature indicators (Tmean, Tmax, and Tmin) in both ERA5 and CRU showed significant warming trends over global highlands. Moreover, the response of temperature indicators to elevation across global highlands is not spatially uniform. The linear regression model based on the elevation showed significant warming signals for the temperature indicators at various elevations over the global highlands. On a regional scale, Tmean and Tmax predominantly showed linear EDW over EU highlands, while Tmean in Asian highlands exhibited EDW signals at 4–5 km. Tmin showed EDW at 2.5–5.5 km with ERA5 and 3–5 km with CRU. In the Andes, EDW was prominent at 2.5–4 km. Overall, EDW signals are evident in all studied regions but vary across them. While assessing the driving factors, the results of this study indicate that total column water vapour (TCWV), snow depth (SD), snow albedo, and normalized difference vegetation index (NDVI) correlated positively with the temperature indicators. These findings emphasize the significance of elevation‐specific interactions between environmental factors and temperature in forecasting temperature changes in mountainous areas. Additionally, temperature exhibited coherence with teleconnection indices from the Atlantic and Pacific Oceans. Asian and European (EU) highlands exhibited interzonal coherence with the Pacific and Atlantic Oceans, while North American (NA) highlands showed coherence, followed by South American (SA) highlands. These findings provide a comprehensive understanding of EDW and its implications for highland regions globally, including the potential for more severe depletion of snow/ice resources in a warmer future.

Oral donor site evaluation in the early and late postoperative periods for augmentation and replacement urethroplasty

Introduction. The use of oral mucosa in augmentation and replacement urethroplasty is the gold standard for several reasons. Most commonly, the mucous membrane of the cheek, the underside of the tongue or lip is employed. Assessing postoperative complications in the donor area is crucial as it impacts patients' quality of life.Objective. To evaluate early and late postoperative changes in the donor area after oral graft extraction for urethroplastyMaterials & methods. A retrospective analysis of the results of surgical treatment using oral mucosa from 2017 to 2022 was carried out. The study included 65 patients. The intensity of pain syndrome in the graft sampling area was assessed by patients on a visual analog scale (VAS). The donor area was sutured only in the case of tongue and lip mucosa sampling.Results. The mucous membrane of the oral cavity was harvested from different sites in 65 patients. Specifically, it was taken from the inside of the cheek in 49 patients (75.38%), from both inner sides of the cheeks in 13 (20.0%), the lower lip in two (3.07%) and the lower surface of the tongue in one (1.54%) patient, respectively. On the first day after surgery, the median pain level according to VAS was 4 points (range: 2 – 7), at the time of discharge — 3 points (1 – 6). After 120 days, a follow-up examination showed a regression of pain symptoms: the median was 0 points (0–1). In the late postoperative period, incomplete opening of the mouth was recorded in two patients (3.07%), cosmetic defect in the donor area in two (3.07%), discomfort during meals in six (9.23%), impaired sensitivity in the donor area in two (3.07%), exacerbation of chronic stomatitis and hypersalivation in two (3.07%) patients, respectively.Conclusion. The incidence of complications in the donor area is low, but for some patients this can result in a reduced quality of life. Using proper technique when extracting oral mucosa grafts reduces pain and the likelihood of early- and late-stage postoperative complications in this area.

Label-free characterization of pathological changes in the portal area of liver fibrosis tissue using multiphoton imaging and quantitative image analysis

Abstract Liver fibrosis plays a crucial role in the progression of liver diseases and serves as a pivotal stage leading to the development of liver cirrhosis and cancer. It typically initiates from portal area with various pathological characteristics. In this article, we employed multiphoton microscopy (MPM) to characterize the pathological changes in the portal areas of liver fibrosis tissues, and subsequently, we used our developed image analysis method to extract eight collagen morphological features from MPM images and also combined a deep learning method with a cell nuclear feature extraction algorithm to perform automatic nuclei segmentation and quantitative analysis in the H&E-stained histopathology images of portal areas. Our results demonstrate that MPM can effectively identify various pathological features in portal areas, and there are significant differences in four collagen features (collagen proportionate area, number, length and width) between normal and abnormal portal areas and in four nuclear features (mean axes distance ratio, disorder of distance to 3, 5 and 7 nearest neighbors) between normal portal area, bile duct hyperplasia and periductal fibrosis. Therefore, a combination of MPM and image-based quantitative analysis may be considered as a rapid and effective means to monitor histopathological changes in portal area and offer new insights into liver fibrosis.

Quantification of muscle recovery in post-ICU patients admitted for acute pancreatitis: a longitudinal single-center study

ObjectivesCritically ill patients with severe pancreatitis exhibit substantial muscle wasting, which limits in-hospital and post-hospital outcomes. Survivors of critical illness undergo extensive recovery processes. Previous studies have explored pancreatic function, quality of life, and costs post-hospitalization for AP patients, but none have comprehensively quantified muscle loss and recovery post-discharge. By applying an AI-based automated segmentation tool, we aimed to quantify muscle mass recovery in ICU patients after discharge.MaterialsMuscle segmentation was performed on 22 patients, with a minimum of three measurements taken during hospitalization and one clinically indicated examination after hospital discharge. Changes in psoas muscle area (PMA) between admission, discharge and follow up were calculated. T-Test was performed to identify significant differences between patients able and not able to recover their muscle mass.ResultsMonitoring PMA shows muscle loss during and gain after hospitalization: The mean PMA at the first scan before or at ICU admission (TP1) was 17.08 cm², at the last scan before discharge (TP2), mean PMA was 9.61 cm². The percentage change in PMA between TP1 and TP2 ranged from − 85.42% to -2.89%, with a mean change of -40.18%. The maximum muscle decay observed during the stay was − 50.61%. After a mean follow-up period of 438.73 days most patients (81%) were able to increase their muscle mass. Compared to muscle status at TP1, only 27% of patients exhibited full recovery, with the majority still presenting a deficit of 31.96%.ConclusionMuscle recovery in ICU patients suffering from severe AP is highly variable, with only about one third of patients recovering to their initial physical status. Opportunistic screening of post-ICU patient recovery using clinically indicated imaging and AI-based segmentation tools enables precise quantification of patients’ muscle status and can be employed to identify individuals who fail to recover and would benefit from secondary rehabilitation. Understanding the dynamics of muscle atrophy may improve prognosis and support personalized patient care.

Distribution patterns and potential suitable habitat prediction of Ceracris kiangsu (Orthoptera: Arcypteridae) under climate change- a case study of China and Southeast Asia

Ceracris kiangsu (Orthoptera: Arcypteridae), is greatly affected by climatic factors and exhibits strong adaptability, posing a serious threat to the ecological environment. Therefore, predicting its potential suitable habitat distribution provides a proactive theoretical basis for pest control. This study using the Biomod2 package of R simulated and predicted the current and future potential distribution, area changes, changes in the center points of suitable habitats, and niche shifts of C. kiangsu under two different greenhouse gas emission scenarios, SSP1-26 and SSP5-85. The results show that: (1) Currently, the high suitability areas for C. kiangsu are mainly distributed in Yunnan, Jiangxi, Hunan provinces in southern China and phongsaly province in northern Laos. In the future, the center of the suitable habitat distribution pattern of C. kiangsu will remain unchanged, primarily expanding outward from medium and high suitability areas. Additionally, significant suitable habitats for C. kiangsu were discovered in Southeast Asian countries without previous pest records. (2) Compared to the present, the overall suitable habitat area for C. kiangsu is expected to expand, particularly under the SSP5-85 climate change scenario. (3) In the SSP1-26 and SSP5-85 climate scenarios, the geometric center of the suitable habitat generally shows a trend of gradually shifting northeast. (4) Under different climate scenarios, the suitable habitat of C. kiangsu has highly overlapping, indicating that the suitable habitat of C. kiangsu in the invaded areas is broader than in its native regions. In conclusion, the research findings represent a breakthrough in identifying the potential distribution areas of C. kiangsu, which is of great practical significance for the monitoring and control of C. kiangsu pest infestation in China and Southeast Asian countries.