Qinba Mountains Region Research Articles

A Study on Residents' Willingness for Tourism Ecological Compensation and Its Influencing Factors: A Case Study of Zhujiawan Village in the Qinba Mountain Region

Ecological compensation plays a crucial role in balancing stakeholder interests, aligning with the principles of ecological civilization and sustainable development. However, research on tourism ecological compensation, especially concerning community residents' perspectives, remains limited. This study addresses this gap by examining the case of Zhujiawan Village in China's Qinba Mountain region. Through surveys and analysis, the study investigates community residents' perceptions, preferences, and factors influencing their willingness to accept tourism ecological compensation. The findings reveal that while residents acknowledge the positive economic impacts of rural tourism development, they also express concerns about environmental pollution, particularly waste and noise. They largely attribute responsibility for ecological compensation to the government and tourism developers. Cash compensation emerges as the preferred method, with employment opportunities also valued. Additionally, residents expect an annual compensation standard of 1,033 RMB, influenced by their satisfaction with the local ecological environment and awareness of ecological compensation policies. The study highlights the importance of balancing economic development with environmental protection in rural tourism destinations. It underscores the need for diversified compensation mechanisms and emphasizes the significance of community involvement in decision-making processes for sustainable tourism development.

Water Quality Estimation Using Gaofen-2 Images Based on UAV Multispectral Data Modeling in Qinba Rugged Terrain Area

This study presents an innovative method for large-scale surface water quality assessment in rugged terrain areas, specifically tailored for regions like the Qinba Mountains. The approach combines the use of high-resolution (10 cm) multispectral data acquired by unmanned aerial vehicles (UAVs) with synchronized ground sampling and 1 m resolution multispectral imagery from China’s Gaofen-2 satellite. By integrating these technologies, the study aims to capitalize on the convenience and synchronized observation capabilities of UAV remote sensing, while leveraging the broad coverage of satellite remote sensing to overcome the limitations of each individual technique. Initially, a multispectral estimation model is developed for key water quality parameters, including chemical oxygen demand (COD), total nitrogen (TN), and total phosphorus (TP), utilizing data from UAVs and coordinated ground samples. Subsequently, a comparison is made between the spectral band ratios (R/G and NIR/G) obtained from the UAV data and those from the Gaofen-2 satellite data, revealing a substantial similarity. Ultimately, this integrated methodology is successfully employed in monitoring water quality across a vast area, particularly along the midstream of the Hanjiang River in the Qinba Mountain region. The results underscore the feasibility, advantages, improved efficiency, and enhanced accuracy of this approach, making it particularly suitable for large-scale water quality monitoring in mountainous terrain. Furthermore, this method reduces the burden associated with traditional ground-based spectral acquisitions, paving the way for a more practical and cost-effective solution in monitoring vast water bodies.

Spatial-Temporal Evolution, Trade-Offs and Synergies of Ecosystem Services in the Qinba Mountains

A scientific understanding of the trade-offs and synergies of ecosystem services is the prerequisite for maintaining the structure, function and health of forest ecosystems, which is conducive to promoting the “win-win” goal of economic development and ecological protection. As an important ecological function area in China, the Qinba Mountain region is responsible for important ecological services such as biodiversity conservation and water conservation, and exploring the trade-offs and synergistic relationships of ecosystem services is important for ecological conservation and high-quality development in this region. This paper analyzes the spatial and temporal characteristics of water conservation, soil conservation, carbon sequestration, and habitat quality services and their synergistic/balancing relationships in the Qinba Mountain region from 1990 to 2020 using tools such as the InVEST model, ArcGIS, and Matlab. The results showed that (1) the overall trend of water connotation, soil conservation and carbon sequestration in the Qinba Mountains is increasing, while the trend of habitat quality is fluctuating and decreasing. The spatial distribution pattern of water conservation and soil conservation services was “high in the southwest and low in the northeast”, while the spatial pattern of habitat quality services was the opposite; the spatial distribution pattern of carbon sequestration services was “low in the middle and high around”. (2) Habitat quality in the Qinba Mountains has a trade-off relationship with water connotation and soil conservation, as water connotation–soil conservation is a synergistic relationship, while carbon sequestration is unrelated to water connotation–soil conservation and habitat quality. (3) The area of habitat quality–water conservation showed a decreasing trend; the area of habitat quality–soil conservation showed an increasing trend; the area of habitat quality-water conservation showed a decreasing trend; the area of habitat quality-soil conservation showed an increasing trend; the area of water conservation-soil conservation service synergistic relationship showed a decreasing and then increasing trend; while the area of carbon sequestration service and In most of the regions, carbon sequestration, soil conservation and habitat quality services are not related to each other.

Analysis of Farm Household Livelihood Sustainability Based on Improved IPAT Equation: A Case Study of 24 Counties in 3 Cities in the Qin-Ba Mountain Region of Southern Shaanxi

Sustainable livelihoods are those that are able to cope with and recover from stress and shocks, and that maintain or strengthen livelihood capacity and livelihood capital, without damaging the foundations of the natural environment. In this paper, the IPHACT framework was constructed by improving the classic IPAT equation, and the key factors affecting production output and livelihood sustainability, as well as the factor differences among different livelihood strategy groups, were analyzed. We took 24 counties and districts of Ankang, Shangluo and Hanzhong in the Qin-Ba Mountain area of southern Shaanxi Province as examples, using a survey of farmers’ livelihood status and livelihood capital accounting. The results show that the amplification effect of population size on the environmental impact of livelihood output is widespread and generally significant. Both livelihood sustainability and livelihood benefit passed the significance test in the multi-model analysis, and the negative effect of livelihood sustainability proved the negative correlation between the environmental impact of livelihood output and livelihood sustainability, that is, the higher the livelihood output dependent on natural capital, the greater the environmental impact. The livelihood transformation of Hanzhong City is developing in the direction of reducing the environmental impact of livelihood output, and farmers have successfully practiced green livelihood transformation by changing their livelihood strategies. On the road to common prosperity, livelihood demand will inevitably increase. Reducing the dependence on natural capital is the key to effectively enhancing the sustainability of livelihoods.

Response of net primary productivity of vegetation to drought: A case study of Qinba Mountainous area, China (2001–2018)

Drought can significantly affect the carbon cycle of ecosystems. The Qinba Mountains region has a high potential for developing carbon sink forestry due to its strong carbon fixation capacity. This study applied the Carnegie-Ames-Stanford approach (CASA) model calculate monthly net primary productivity (NPP) in the region from 2001 to 2018. The standardized precipitation evapotranspiration indices (SPEI1-12) at various time scales were also analyzed by the Thornthwaite method, along with the test of significance and sustainability (Sen-MK-Hurst) model, to examine the persistent characteristics of dry and wet changes in the Qinba Mountains. The results of the correlation analysis between NPP and SPEI at multiple time scales showed that regional vegetation NPP is significantly impacted by drought, with the most sensitive months being July and October. On average, there is a four-month cumulative effect of drought on NPP. About 45.49% and 19.99% of NPP in the Qinba Mountains region are extremely or heavily sensitive to drought, with grasses being the most sensitive, followed by cultivated plants, deciduous broadleaved forests, mixed forests, sparse forests, and shrublands. The study also found that 40.99% of the region is expected to become wetter and 14.9% is expected to become drier in the future. Understanding the response of NPP to drought in this region can help with the management of regional climate change for environmental regulation.

Parental Discipline and Early Childhood Development in Rural China

Children who are under the age of five in underdeveloped and developing countries, including China, exhibit developmental delays due to their exposure to risks such as impoverishment, deprived health conditions, parental punishment, neglect, and poor psychosocial stimulation. Adverse experiences during the formative years of life, such as harsh parental discipline, may put them at risk for poor physical and mental well-being. The aim of this research is to explore the pervasiveness and developmental outcomes of different forms of discipline practices in the underdeveloped rural areas of China. To do this, we used cross-sectional data on child–caregiver dyads from a large survey held in 22 poor counties in the QinBa Mountain Region. The sample included 1622 children aged 12–36 months. Partakers were requested to respond to a general survey on parenting which included basic demographic questions, the Ages and Stages Questionnaire: Social-Emotional (ASQ-SE), the Bayley Scales of Infant and Toddler Development (BSID-III), and questions on exposure of children to different discipline practices. Our findings from OLS estimates reveal that aversive discipline methods adversely affect cognitive, language, and socio-emotional development, whereas, non-aversive discipline practices have constructive effects on cognitive, language, and motor development of children.

Analysis of the Effect of Rural Tourism in Promoting Farmers’ Income and Its Influencing Factors–Based on Survey Data from Hanzhong in Southern Shaanxi

Five years after the implementation of the tourism precision poverty alleviation strategy, how effective it has been in alleviating poverty remains to be tested. This study, through a study of 241 farm households in 10 national tourism poverty alleviation key villages in the Qinba Mountain region of Hanzhong, southern Shaanxi, finds that rural tourism has contributed to a general increase in farm household income, but the effect of income increase varies significantly between households that have escaped poverty and non-poor households, and there is no significant difference in income between those who participate in tourism and those who do not. The study concludes that the poverty-reducing effects of tourism are conditional, with the poor quality of human capital being the main obstacle to farm households’ income growth, the institutional mechanism for tourism participation is inadequate, effective farm household tourism participation is significantly low, and non-farm work constitutes a substitute for farm households’ tourism livelihood options. The primary stage tourism scenic spots have a limited role in driving the income of farming households, and the geographical location limits the effective participation of farming households. Accordingly, the following countermeasures are proposed: (1) in terms of strategic decision-making options, establish a screening mechanism for tourism participation in poverty alleviation and implement diversified poverty governance; (2) in terms of tourism development strategies, encourage the integration of multiple industries and synergistic development, realize the two-way interaction of “+ tourism” and “tourism +”; (3) in terms of development methods, adhere to the participatory development path, improve the institutional mechanism for tourism participation, stimulate the endogenous motivation of farmers, and explore the dynamic participation path of “bottom-up”. (4) In the development of endogenous power, strengthen skills training, improve the comprehensive quality of farmers and their participation level and ability; (5) In the coordination and protection, play the coordinating and leading role of grass-roots party building, and continuously cultivate and strengthen tourism cooperative organizations.

Landslide susceptibility assessment using the Weight of Evidence method: A case study in Xunyang area, China.

The aim of this study is to provide a landslide susceptibility map of the Xunyang District of a mountainous terrain, at the southern part of the Qin-Ba Mountain Region, which has been highly exposed to widely distributed shallow landslides over the past few decades. The Weight of Evidence (WoE) method was adopted in this research considering both the presence of a certain landslide causative factor class and the absence of remaining classes, which was used for determining a clearly spatial correlation between a landslide occurrence and the causative factors. Intrinsic factors, including geomorphological factors, geological factors, and river flow networks, and external factors of anthropogenic engineering activities in terms of density of road network were all considered and involved in the Geological Information System (GIS) environment for reconstructing the thematic layers of factor dataset. Significant assumptions prior to the analysis were emphasized to ensure conditional independence between each pair of factors for this bivariate statistical approach. In addition, a detailed landslide inventory map was constructed through field investigation and a remote sensing interpretation process at a scale of 1:50000. The thematic layers and landslide map were overlapped to obtain a spatial statistical relationship by using the frequency ratio method. At last, the validation process for the derived susceptibility map was conducted by applying the ROC curve, indicating that more than 90% of the landslides were in categories of high and moderate susceptibility zones. The causative factor classes, including the slope angles ranging from 20 to 40°, strong weathered and fractured strata, and road network density were identified to considerably influence the landslide distribution in the study area. The results have proven to be significantly meaningful for landslide hazard risk mitigation and land use management for the local authorities responsible for these fields.

Associations between Maternal and Infant Illness and the Risk of Postpartum Depression in Rural China: A Cross-Sectional Observational Study.

This study explored how maternal and infant illness correlated with the risk of postpartum depression in the Chinese Qinba Mountains region. In total, 131 villages comprising 435 families with infants (≤6 months old) were randomly sampled. We collected data on maternal and infant illnesses and maternal health knowledge level. The Depression, Anxiety, and Stress Scale-21 was used to measure the risk of postpartum depression. We used descriptive statistics and multivariate logistic regression for the analysis. Infant overall health status was a risk factor for postpartum depression (odds ratio (OR) = 1.90, 95% Confidence Interval (95% CI) = 1.10~3.28), whereas maternal overall health status was not correlated with postpartum depression (OR = 1.36, 95% CI = 0.55~3.39). For specific illnesses, infants experiencing over two common illnesses in the past two weeks (OR = 1.98, 95% CI = 1.13~3.45) and mothers experiencing over two common pains within two weeks after delivery (OR = 1.77, 95% CI = 1.02~3.08) were risk factors for postpartum depression, whereas infants with mild and severe stunted growth, maternal C-section, and postpartum body mass index (normal or overweight) were not correlated with it (all p > 0.050). Maternal health knowledge was an important moderator of maternal and infant illnesses on the risk of postpartum depression. In conclusion, maternal and infant illness were essential factors for the risk of postpartum depression in a poor rural region in western China, which may be mainly affected by the feeling of uncertainty of illness. Improved maternal and infant health and enhanced maternal health knowledge might alleviate the risk of postpartum depression.

Stable carbon and oxygen isotopic composition of modern land snails along a precipitation gradient in the mid-latitude East Asian monsoon region of China

The stable oxygen and carbon isotope composition (δ18Oshell and δ13Cshell) of land snail shells preserved in Chinese eolian loess deposits have the potential to reconstruct past changes in the East Asian Summer Monsoon (EASM) since the late Oligocene. To assess the potential of δ18Oshell and δ13Cshell for the semi-quantitative reconstruction of past variations of the EASM, we studied modern snails and the corresponding vegetation composition of three distinct ecosystems (woodland, grassland and mountains), spanning a large rainfall gradient (178–1403 mm) in the mid-latitude East Asian monsoon region. The results show that different snail species in the three ecosystems have significantly different values of δ18Oshell and δ13Cshell. The snails in woodland from the eastern plain area have significantly lower δ18Oshell and δ13Cshell values than those of snails in grassland from the Chinese Loess Plateau, and the snails from the Qinba Mountains region have values intermediate between the two. Systematic variations of the δ13C of snail shells, body tissues and local plants are evident along the rainfall gradient, indicating that δ13Cshell is mainly influenced by the δ13C of ingested plants, which is controlled by the EASM. We confirm that δ13Cshell is a reliable precipitation proxy and we obtained a new empirical equation (δ13Cshell = −0.0030(±0.0003) MAP − 8.80(±0.32), r = −0.76, n = 74, p < 0.001) for the relationship between δ13Cshell and mean annual precipitation, which is based on the results of the present study, together with those of Bao et al. (2018). We infer that δ18Oshell is influenced by precipitation δ18O, and that here is a significant relationship between δ18Oshell and mean annual precipitation (δ18Oshell = −0.0028(±0.0008) MAP − 1.32(±0.58), r = −0.65, p < 0.05, n = 21), possibly because of the rainfall amount effect in the study region. In addition, temperature and evaporation associated with relative humidity play non-negligible roles in determining δ18Oshell, and their effects should be considered before using the δ18O of fossil snail shells to reconstruct precipitation δ18O and/or rainfall amount.

Investigation and application of Dendrobium resources in Qinba Mountains with a discussion on industrial poverty alleviation model

The Dendrobium species are rare and endangered medicinal plants, and it is difficult to investigate their wild resources with conventional methods because of typical epiphytic herbaceous. We explored Dendrobium resources(include culture resource) of Qinba Mountains and the boundary Mountain area in Hubei, Chongqing using the methods of literatures and field investigation, and found that the cultural base of Dendrobium were profound in Qinba Mountains region. Furthermore, its germplasm resources of Dendrobium were established for the first time in Wanzhou Luotian town. In case the advantages of local rock resources and poverty alleviation demand, we have actively carried out the cultivating mode of Dendrobium which grow on rock, and the poverty alleviation model of local characteristic Dendrobium industry were established preliminarily. Our application case can provide reference for the mining and transformation of traditional Chinese medicine resources census results.

Partitioning of Terrain Features Based on Roughness

Surface roughness is a key parameter that reflects topographic characteristics and influences surface processes, and characterization of surface roughness is a fundamental problem in geoscience. In recent years, although there have been basic studies on roughness, few studies have compared the concept and quantification of roughness, and there have been few studies that have evaluated the ability of partition terrain features. Based on 1″ resolution Shuttle Radar Topography Mission (SRTM) data and previous studies, we selected the Qinba Mountain region of China and its adjacent areas as our study area, and used 13 different roughness algorithms to extract roughness in this study. Using spatial patterns and statistical distributions, the results were analyzed, and the best algorithm suited to partitioning terrain features was selected. We then evaluated the ability of the algorithm to distinguish the terrain morphology. The results showed the following: (1) The 13 algorithms were able to be classified into four types, that is, gradient (SLOPE), relief (root mean squared height, RMSH), local vector (directional cosine eigenvalue, DCE) and power-spectral (two-dimensional continuous wavelet transform, 2D CWT). (2) The SLOPE and RMSH algorithms were better able to express and distinguish terrain, as they were able to macroscopically distinguish between four types of terrain in the study areas. Based on power-spectral methods, 2D CWT had the same discrimination ability as the first two methods following a normalization transform, whereas the DCE method had a general effect and could only distinguish two types of terrain. (3) Different roughness algorithms had their own applicability for different terrain areas and application directions.

Landslide susceptibility assessment using the certainty factor and analytic hierarchy process

A new approach combining the certainty factor (CF) and analytic hierarchy process (AHP) methods was proposed to assess landslide susceptibility in the Ziyang district, which is situated in the Qin-Ba Mountain region, China. Landslide inventory data were collected based on field investigations and remote sensing interpretations. A total of 791 landslides were identified. A total of 633 landslides were randomly selected from this data set as the training set, and the remaining landslides were used for validation as the test set. Nine factors, including the slope angle, slope aspect, slope curvature, lithology, distance to faults, distance to streams, precipitation, road network intensity degree and land use were chosen as the landslide causal factors for further susceptibility assessment. The weight of each factor and its subclass were calculated by AHP and CF methods. Landslide susceptibility was compared between the bivariate statistical method and the proposed CF-AHP method. The results indicate that the distance to streams, distance to faults and lithology are the most dominant causal factors associated with landslides. The susceptibility zonation was categorized into five classes of landslide susceptibility, i.e., very high, high, moderate, low and very low level. Lastly, the relative operating characteristics (ROC) curve was used to validate the accuracy of the new approach, and the result showed a satisfactory prediction rate of 78.3%, compared to 69.2% obtained with the landslide susceptibility index method. The results indicate that the CF-AHP combined method is more appropriate for assessing the landslide susceptibility in this area.

A New Role for LOC101928437 in Non-Syndromic Intellectual Disability: Findings from a Family-Based Association Test.

Non-syndromic intellectual disability (NSID) is mental retardation in persons of normal physical appearance who have no recognisable features apart from obvious deficits in intellectual functioning and adaptive ability; however, its genetic etiology of most patients has remained unknown. The main purpose of this study was to fine map and identify specific causal gene(s) by genotyping a NSID family cohort using a panel of markers encompassing a target region reported in a previous work. A total of 139 families including probands, parents and relatives were included in the household survey, clinical examinations and intelligence tests, recruited from the Qinba mountain region of Shannxi province, western China. A collection of 34 tagged single nucleotide polymorphisms (tSNPs) spanning five microsatellite marker (STR) loci were genotyped using an iPLEX Gold assay. The association between tSNPs and patients was analyzed by family-based association testing (FBAT) and haplotype analysis (HBAT). Four markers (rs5974392, rs12164331, rs5929554 and rs3116911) in a block that showed strong linkage disequilibrium within the first three introns of the LOC 101928437 locus were found to be significantly associated with NSID (all P<0.01) by the FBAT method for a single marker in additive, dominant and recessive models. The results of haplotype tests of this block also revealed a significant association with NSID (all P<0.05) using 2-window and larger HBAT analyses. These results suggest that LOC 101928437 is a novel candidate gene for NSID in Han Chinese individuals of the Qinba region of China. Although the biological function of the gene has not been well studied, knowledge about this gene will provide insights that will increase our understanding of NSID development.

A family-based association study of PRSS12 and mental retardation in the Qinba mountain region of China

A family-based association study of PRSS12 and mental retardation in the Qinba mountain region of China

Polymorphisms in the DLG3 gene is not associated with non-syndromic mental retardation in the Chinese Han population of Qin-Ba mountain.

Discs-large-related 3 (DLG3), a member of the membrane-associated guanylate kinases (MAGUKs) protein family, playing an important role in regulating NMDA signal pathway and contributing to synaptic plasticity, may have an influence on the susceptibility of non-syndromic mental retardation (NSMR). To investigate the possible genetic contribution of DLG3 gene to the NSMR of Chinese Han population, we performed an association study of 556 subjects (118 NSMR, 116 borderline NSMR, and 322 controls in 275 males and 281 females) from Qin-Ba mountain region of Shaanxi province in the northwest of China by five common SNPs in the gene. The results showed that there was no positive association between the genetic variations of DLG3 and NSMR. In conclusion, the results of this study indicated that DLG3 did not associate with NSMR in Chinese Han population; however, further studies are needed.

Positive association of neuroligin-4 gene with nonspecific mental retardation in the Qinba Mountains Region of China

Neuroligin-4 is essential for proper brain function. Some studies indicate a close relationship between neuroligin-4 and several human psychiatric conditions. The case-control method was used to study the association between nonspecific mental retardation (NSMR) and genetic variants of neuroligin-4 gene (NLGN4). Five single nucleotide polymorphisms (SNPs: rs5916271, rs7049300, rs6638575, rs3810686, and rs1882260) were genotyped by PCR-RFLP/SSCP method in the NLGN4. Individual SNP analysis shows significant differences at SNPs rs3810686 and rs1882260 for allele frequency when NSMR cases and controls [odds ratio (OR)=1.589, 95% confidence interval (CI)=1.035-2.438, chi2=4.53, df=1, P=0.033; OR=2.050, 95% CI=1.211-3.470, chi2=7.38, df=1, P=0.007, respectively] were compared. Further haplotype analysis indicates that there are two haplotype sets, rs3810686-rs1882260 and rs6638575-rs3810686-rs1882260, which show statistical differences between NSMR cases and controls (chi2=6.79, df=2, global P=0.034; chi2=9.29, df=2, global P=0.0096, respectively). The results suggest a positive association between the genetic variants of the NLGN4 and NSMR in the Chinese children from Qinba Mountains Region.

Anassociation study between &lt;I&gt;OPHN1&lt;/I&gt; gene rs492933 poly-morphism and mental retardation in children of the Qinba Moun-tain region

The OPHN1 gene encodes a Rho-GTPase activating protein (RhoGAP), and mutations in OPHN1 are responsible for non-specific X-linked mental retardation (NSMR). A SNP located in the 5'-untranslated region (UTRs) of OPHN1 (rs492933) was examined by PCR-RFLP to assess its contribution to cognitive ability in 234 unrelated healthy and MR children in the Qinba Mountain region in Shaanxi. The allelic frequencies of rs492933 were 0.826 for the C allele and 0.174 for the T allele. Genotype frequencies and allelic frequencies were not significantly different between the MR and the controls, or between the borderline group and the controls. In conclusion, there is no association between the OPHN1 gene polymorphism and NSMR in the Qinba Mountain region children.

No association between polymorphisms in the FACL4 (fatty acid-CoA ligase 4) gene and nonspecific mental retardation in Qin-Ba mountain region of China

Mental retardation (MR) is a common form of cognitive impairment among children. The underlying causes of mental retardation are extremely heterogeneous and include significant genetic factors. Long chain fatty acid-CoA ligase 4 is the first gene shown to be involved in mental retardation and fatty-acid metabolism. FACL4 gene mutations in three Italian MR pedigrees have been reported as causing non-specific mental retardation. To investigate the possible genetic contribution of the FACL4 gene to non-specific mental retardation children of the Qin-Ba mountain region in China we performed an association study of 556 subjects (118 NSMR, 116 borderline NSMR, and 322 controls) from the Han children of northwestern China using five common SNPs (rs5943427, rs12856122, rs5943418, rs7886473, and rs10126612) in the gene. No significant differences of genotypes and alleles frequencies from each single SNP between NSMR and controls were observed. Pairwise linkage disequilibrium analysis showed that four SNPs rs5943427, rs12856122, rs5943418, and rs7886473 were in strong linkage disequilibrium; therefore, a haplotype analysis was performed. However, there were no any significant differences in haplotype distributions between cases and controls. In conclusion, we have found no evidence for the FACL4 gene conferring susceptibility on non-specific mental retardation children of the Qin-Ba mountain region in China.

Relationship between the polymorphisms of &lt;I&gt;GDI1&lt;/I&gt;, chil-dren NSMR and their intelligence in Qinba region

The subjects of this study were recruited from Zha Shui and An Kang counties in the Qinba mountain region located in Middle-west China. The present study discussed the relationship between the variations of GDI1 with the children NSMR and their intelligence levels. The case-control association analysis method was used to analyze the association between the polymorphisms of two functional SNPs (rs2276462 and rs11549300) located in splicing site of the seventh exon and the eighth exon respectively, with NSMR and their different intelligence levels. It does not find out the polymorphism of rs2276462, because of its conservation. The results of case-control analysis indicated that, no association between the rs11549300 polymorphisms and children NSMR (P >0.05), but its polymorphisms may be related to intelligence levels of children in Qinba region (P =0.03). And a further work should be done to verify the conclusion of this study using the more genetic markers of GDI1 in a larger sample.