Contribution Rate Research Articles

Carbon dynamics of organic layer in three forest stands dominated by different tree species

ABSTRACT The organic (O) layer on top of forest soil is important in forest carbon (C) cycling, but not many studies have investigated integrated C dynamics, including dissolved organic C (DOC) fluxes. To clarify the DOC contribution and C dynamics in the O layer, this study quantified the C stock of the O layer, C input (litter fall (LF) and throughfall DOC (TF-DOC)), and C output (CO2 emission and litter leachate DOC (LL-DOC)) over the course of a year for three forest stands in the same region (middle slopes of Mt. Asama, Nagano, Japan) dominated separately by Quercus serrata (Q), Larix kaempferi (L), and Pinus densiflora (P). The TF-DOC contribution to C input was high in the rainy season. Additionally, TF-DOC was greater in the L forest than in the Q and P forests because of relatively small LF production in the L forest. The contribution of LL-DOC to C output also tended to be high in the rainy season, but the contribution increased in winter owing to the small emission of CO2 at low temperatures. Annual contribution of LL-DOC was much higher in the P forest than in the Q and L forests, reflecting differences in litter quality. The DOC contribution rate to C flux was generally < 20%, suggesting that DOC flux is a minor but non-negligible process in C cycling in the O layer depending on season and forest type. Our comprehensive C flux data provide better understanding of C cycling in the O layer of temperate forests.

Spatiotemporal Evolution and Impact Mechanisms of Gross Primary Productivity in Tropics

Gross primary productivity (GPP), representing organic carbon fixation through photosynthesis, is crucial for developing science-based strategies for sustainable development. Given that the tropical region harbors nearly half of all species, it plays a pivotal role in safeguarding the global environment against climate change and preserving global biodiversity. Thus, investigating changes in vegetation productivity within this region holds substantial practical importance for estimating global vegetation productivity. In this study, we employed an enhanced P model to estimate vegetation GPP in the tropical region from 2001 to 2020, based on which we quantified the spatiotemporal changes and associated mechanisms. The results reveal that the annual mean GPP in the tropical region ranged from 2603.9 to 2757.1 g·cm−2 a−1, demonstrating an overall apparent increasing trend. Inland areas were mainly influenced by precipitation, while coastal areas were primarily influenced by temperature. Land cover changes, especially conversion to cropland, significantly influence GPP, with deciduous—evergreen forest transitions causing notable decreases. Climate change emerges as the dominant factor affecting GPP, as indicated by the contribution rate analysis. This research interprets the spatiotemporal pattern and mechanisms of GPP in the tropics, offering valuable insights for sustainable ecosystem management.

CORRELATION AND REGRESSION ANALYSIS FOR YIELD &amp; RELATED ATTRIBUTES IN F2 POPULATION OF BREAD WHEAT (Triticum aestivum L.) GENOTYPES

This research was carried out to study correlation &amp; regression analysis in bread wheat at Southern Wheat and Barley Research Institute, Tandojam in RCBD with three replications. The results showed that most of the traits were significantly different at (P≤0.01) among the genotypes. Correlation analysis showed that spikelets per spike had a positive and highly significant association with biological yield per plan (r = 0.82**). Among the F2 crosses, days to 75% heading was significantly and positively associated with the grain yield (r = 0.80**). The trait tillers per plant had a positive association of significance with grain yield per plant (r = 0.86**) and biological yield per plant (g) (r = 0.84**). Regression analysis showed that the contribution rate of plant height to the change of grain yield was 0.47%; although the contribution to the variation of grain yield per plant was 08.21%. Spike length and spikelets per spike contributed 51.99% and 57.02% to the variation of grain yield per spike. The same character, grain yield was also contributed by grains per spike and seed index with the change of 58.99% and 78.36%. Above mentioned studies have shown that seed index, tillers per plant and spike length can be used to increase the grain yield of wheat genotypes to develop wheat varieties.

Restoration Strategies in the Heidaigou Open-Pit Mine Dump Based on Water Sources and Plant Water Utilization

In this study, three typical plants capable of restoring in the Heidaigou open-pit mine dump, namely, Pinus sylvestris var. mongolica, Caragana korshinskii, and Medicago sativa, were taken as the research objects. The δ2H and δ18O values of atmospheric precipitation, soil water, stem water, and leaf water were measured using the stable isotope technique, and the distribution characteristics of the δ2H and δ18O values of different water sources were identified. The IsoSource model (version1.3.1) was used to calculate the contribution rate of different water sources to the plants, and the differences and dynamic changes in the water sources for P. sylvestris var. mongolica, C. korshinskii, and M. sativa during the rainy season were examined. Results showed that the water source of the three plants was found to be mainly soil water, and the utilization of each potential water source varied in different periods of the rainy season. In June, when SWC was sufficient, P. sylvestris var. mongolica and M. sativa primarily absorbed and utilized shallow and middle soil water, with relative utilization ratios of 55.5% and 59%, respectively, while C. korshinskii has a more balanced utilization ratio of soil water in each layer, with shallow soil water utilization at 33.7%, middle soil water at 34.2%, and deep soil water at 32.2%. In August, when SWC decreased, P. sylvestris var. mongolica, C. korshinskii, and M. sativa were all transferred to deep soil water, with utilization ratios of 75.8%, 78.8%, and 71.1%, respectively. The values showed that these three typical plants are capable of restoring can respond to external water changes through the plastic transformation of water absorption sources. Among them, C. korshinskii can flexibly use soil water in each layer, has stronger survival competitiveness in drought, and can better adapt to the fragile ecological environment of a mining dump.

Multi-objective optimisation research of ship form in waves based on Kernel principal component analysis

ABSTRACT In the process of multi-objective optimisation design of ship forms, subjective weighting methods rely on experts’ experience and have a certain impact on the scientificity of results. The objective weighting method can effectively solve this drawback and reduce the interference of human factors. Therefore, this paper proposes a multi-objective optimisation design programme for ship forms based on KPCA method, and constructs a multi-objective optimisation design framework. In this paper, the KPCA method is used to calculate the contribution rate of each indicator for objective weighting, give the comprehensive evaluation score of the optimal solution set and make decisions, solve the technical drawbacks of subjective weighting, and obtain a satisfactory optimal hull form. The results show that the automatic multi-objective optimisation design method proposed in this paper has certain engineering application value, and can provide theoretical basis and technical support for green design and manufacturing of ships.

Strong-wind events control barchan dune migration

Wind is the most important external force in shaping aeolian landforms. Yet, it remains unclear what role the strong-wind events will play in the development of aeolian landforms compared with the effect of regular winds. A fundamental question is, what are the contributions of different wind speed levels to the deformation of aeolian landforms. Here, through in situ measurements of high-sampling-rate wind data and high-resolution topographic data, we analyzed short-term strong-wind events at different levels and monitored the rapid migration of barchan dunes, enabling us to provide a first report on the contribution rate of short-term strong winds to dune migration. Leveraging the linear relationship between sand flux and the migration distance of barchans, we found that the ratio of sand flux generated by short-term strong winds to the total sand flux is equal to the ratio of barchan migration distance caused by strong winds to the total migration distance in the same period. Moreover, a global analysis of three typical barchan fields confirmed the relationship. This study suggests that the development of aeolian landforms is dominantly controlled by the short-term strong-wind events rather than the previously reported time-averaging wind.

A Standardized Treatment Model for Head Loss of Farmland Filters Based on Interaction Factors

A head loss model for pressureless mesh filters used in farmland irrigation was developed by integrating the four basic test factors: irrigation flow, filter cartridge speed, self-cleaning flow, and initial sand content. The model’s coefficient of determination was found to be 98.61%. Among the basic factors, the total irrigation flow accounted for only 17.20% of the relatively small self-cleaning flow. The contribution of initial sand content was found to be the smallest, with a coefficient of only 0.0166. Furthermore, the contribution rate of the flow term was significantly higher than that of the initial sand content, with a value of 159.73%. In terms of quadratic interaction, the difference between the interaction term of flushing flow and filter cartridge speed, and the interaction term of filter cartridge speed and self-cleaning flow was 38.42%. On the other hand, the difference within this level for the interaction term between initial sand content and filter cartridge speed, as well as the interaction term between irrigation flow and self-cleaning flow, was 2.82%. Finally, through joint optimization of the response surface and model, the optimal values for the irrigation flow rate, filter cartridge speed, self-cleaning flow rate, and initial sand content were determined to be 121.687 m3·h−1, 1.331 r·min−1, 19.980 m3·h−1, and 0.261 g·L−1; the measured minimum head loss was found to be 21.671 kPa. These research findings can serve as a reference for enhancing the design of farmland filters and optimizing irrigation systems.

The Effects of Assisted Freezing with Different Ultrasound Power Rates on the Quality and Flavor of Braised Beef.

This study investigated the effects of ultrasound-assisted immersion freezing (UIF) at different power rates (0, 200, 400, and 600 W) on the changes in beef quality and flavor after braising. The results demonstrated that UIF treatment at 400 W significantly reduced the juice loss (cooking loss decreased from 49.04% to 39.74%) and fat oxidation (TBARS value decreased from 0.32 mg/kg to 0.20 mg/kg) of braised beef. In addition, the tenderness (hardness value decreased from 5601.50 g to 2849.46 g) and color stability of braised beef were improved after UIF treatment. The flavor characteristics of braised beef were characterized using an electronic nose and an electronic tongue. The PCA analysis data showed that the cumulative contribution rates of the first and second principal components were 85% and 93.2%, respectively, with the first principal component accounting for a higher proportion. The UIF-400 W group had the highest concentration for the first principal component, and the differentiation was not significant compared to the control group. The total amino acid values of different power UIF treatment groups were improved compared to the AF treatment group, indicating that UIF can effectively reduce the losses caused by freezing. The results demonstrate that ultrasound-assisted freezing treatment is beneficial in enhancing the tenderness and flavor attributes of beef after braising, providing new insights into the processing of meat products with desirable quality characteristics.

한국 청소년의 아침 식사 유형에 따른 영양소 섭취 상태 및 아침식사의 질 평가

Objectives This study is to evaluate the quality of breakfast and compare the nutritional intake by breakfast type of Korean adolescents. Methods This study analyzed data from 3,779 adolescents aged 12 to 18 who participated in the National Health and Nutrition Survey conducted from 2016 to 2019. Breakfast was classified as ‘rice’, ‘bread’, ‘noodles’, ‘cereal’, and ‘others’ based on the main food consumed. Differences in general characteristics by breakfast type were ana-lyzed, and nutrient intake and nutrient intake ratio relative to daily nutrient intake standards were used for the analysis. Additionally, the study derived the contribution rate and nutrient density of daily nutrient intake from breakfast. Results Regarding the type of breakfast consumed by adolescents, rice ranked first at about 45%, followed by bread, cereal, and noodles. The breakfast skipping rate was higher among female adolescents at 43.03% com-pared to males at 35.57%. Rice and bread tended to account for most of the energy and protein intake, and cereals accounted for the highest daily intake of vitamins and minerals. The contribution rate of breakfast to daily energy intake was about 23-24% for rice and noodles, about 18% for bread, and about 14% for cereal. Conclusions The results of this study suggest that rice is an excellent breakfast diet for Korean adolescents. However, the high rate of breakfast skipping among adolescents suggests the need for efficient and continuous nutritional education about regular breakfast.

Remote sensing estimation of δ15NPN in the Zhanjiang Bay using Sentinel-3 OLCI data based on machine learning algorithm

Remote sensing estimation of δ15NPN in the Zhanjiang Bay using Sentinel-3 OLCI data based on machine learning algorithm

Effect of Nano-TiO2 and Polypropylene Fiber on Mechanical Properties and Durability of Recycled Aggregate Concrete

In order to promote the engineering application of recycled concrete, the effects of PPF and nano-TiO2 dioxide on the mechanical properties and durability of recycled concrete were studied.Polypropylene fiber recycled concrete(PRAC) and nano-TiO2 recycled concrete(TRAC) were prepared by adding different volume contents of PPF and nano-TiO2. The experimental findings demonstrated that the PPF and nano-TiO2 improved the splitting tensile strength of RAC better than the compressive strength. When the volume content of nano-TiO2. and PPF is 0.8% and 1.0%, respectively, the corresponding splitting tensile strength of concrete reaches the maximum value(3.4 and 3.7 MPa). The contribution rates of nano-TiO2 and PPF with different volume contents to the mechanical properties of RAC have optimal values, which are 0.4 and 1.0%, respectively. The incorporation of nano-TiO2 and PPF can effectively inhibit the loss of RAC mass and the generation of pores under freeze–thaw conditions, and slow down the decrease of dynamic elastic modulus. When the volume content of PPF is 1.0% and the volume content of nano-TiO2 is 0.4%, the protection effect on the internal structure of RAC is better, and its carbon resistance is better. The results of RSM model analysis and prediction show that both PPF and nano-TiO2 can be used as admixture materials to improve the mechanical properties and durability of RAC, and the comprehensive improvement effect of PPF on RAC performance is better than that of nano-TiO2.

Investigation of core symptoms and symptom clusters in maintenance hemodialysis patients: A network analysis.

To construct a symptom network of maintenance hemodialysis patients and identify the core symptoms and core symptom clusters. Finally, this study provides a reference for accurate symptom management. A correlational cross-sectional design. A total of 368 patients who underwent maintenance hemodialysis were enrolled from two hemodialysis centers in Chengdu, Sichuan Province, China. A symptom network was constructed with the R coding language to analyze the centrality index. Symptom clusters were extracted by exploratory factor analysis, and core symptom clusters were preliminarily determined according to the centrality index of the symptom network. The most common symptoms in maintenance hemodialysis patients were fatigue, dry skin, and pruritus. In the symptom network, headache had the highest mediation centrality (rB = 2.789) and closeness centrality (rC = 2.218) and the greatest intensity of numbness or tingling in the feet (rS = 1.952). A total of six symptom clusters were extracted, including pain and discomfort symptom clusters, emotional symptom clusters, gastrointestinal symptom clusters, sleep disorder symptom clusters, dry symptom clusters, and sexual dysfunction symptom clusters. The cumulative variance contribution rate was 69.269%. Fatigue, dry skin, and pruritus are the sentinel symptoms of maintenance hemodialysis patients, headache is the core symptom and bridge symptom, and pain symptom clusters are the core symptom clusters of MHD patients. Nurses can develop interventions based on core symptoms and symptom clusters to improve the effectiveness of symptom management in maintenance hemodialysis patients. Understanding the core symptoms and symptom groups that plague maintenance hemodialysis patients is critical to providing accurate symptom management. To ensure that maintenance hemodialysis patients receive effective support during treatment, reduce the adverse effects of symptoms, and improve the quality of life of patients.

Effects of urea topdressing time on yield, nitrogen utilization, and quality of mechanical direct-seeding hybrid indica rice under slow-mixed fertilizer base application.

The use of controlled-release nitrogen (N) fertilizers has been shown to improve yield and N-use efficiency (NUE) in mechanical transplanted rice. However, the fertilizer requirements for mechanical direct-seeding rice differ from those for mechanical transplanted rice. The effects of controlled-release fertilizers on yield, NUE, and quality in mechanical direct-seeding rice are still unknown. Hybrid indica rice varieties Yixiangyou 2115 and Fyou 498 were used as test materials, and slow-mixed N fertilizer (120kg hm-2) as a base (N1), N1+urea-N (30kg hm-2) once as a base (N2), N1+urea-N (30kg hm-2) topdressing at the tillering stage (N3), N1+urea-N (30kg hm-2) topdressing at the booting stage (N4) four N fertilizer management to study their impact on the yield, NUE and quality of mechanical direct-seeding rice. Compared with Yixiangyou 2115, Fyou 498 significantly increased photosynthetic potential, population growth rate, root vigor, and N transport rate by 3.34-23.88%. This increase further resulted in a significant improvement in the yield and NUE of urea-N topdressing by 1.73-5.95 kg kg-1. However, Fyou 498 showed a significant decrease in the head rice rate and taste value by 3.34-7.67%. All varieties were treated with N4 that significantly increase photosynthetic potential and population growth rate by 15.41-62.72%, reduce the decay rate of root vigor by 5.01-21.39%, promote the N transport amount in stem-sheaths (leaves) by 13.54-59.96%, and then significantly increase the yields by 4.45-20.98% and NUE of urea-N topdressing by 5.20-45.56 kg kg-1. Moreover, the rice processing and taste values were optimized using this model. Correlation analysis revealed to achieve synergistic enhancement of high-yield, high-quality, and high-NUE in rice, it is crucial to focus on increasing photosynthetic potential, population growth rate, and promoting leaf N transport. Specifically, increasing the contribution rate of N transport in stem-sheaths is the most important. These findings offer an effective N management strategy for 4R nutrient stewardship (right source, right method, right rate and right timing) of mechanical direct-seeding hybrid indica rice.

Linking Land Use and Land Cover Changes and Ecosystem Services’ Potential in Natura 2000 Site “Nordul Gorjului de Vest” (Southwest Romania)

Considering that land use and land cover (LULC) change is one of the most important challenges to biodiversity today, we used Copernicus products to analyze LULC changes at the level of the “Nordul Gorjului de Vest” Natura 2000 site (Romania) from 1990 to 2018. The interpretation of the impact of these changes on areas with very high potential for three regulating ecosystem services (ESs) (local climate regulation, regulation of waste, and water purification) was performed. Forest habitats are the major LULC class category in the “Nordul Gorjului de Vest” Natura 2000 site, with broad-leaved forest as the dominant forest class. In terms of areas lost or gained by the different LULC classes for each analyzed time interval, most transformations took place in the period 2000–2006, changes which were also reflected in the overall study period (1990–2018). During this time frame, the conversion of transitional forest shrubs into broad-leaved forest, which is the second largest transition in terms of absolute area changed, led, in terms of contribution rates, to an increase in the areas with very high potential for two of the three analyzed ESs. The conversion of transitional woodland shrub into broad-leaved forest was conductive only to synergy for all the pairwise interactions between the three ESs.

Spatial variability and source analysis of soil heavy metals: A case study of the key planting area of special agricultural products in Cangxi County, China.

Heavy metal pollution in farmland soil represents a considerable risk to ecosystems and human health, constituting a global concern. Focusing on a key area for the cultivation of special agricultural products in Cangxi County, we collected 228 surface soil samples. We analyzed the concentration, spatial distribution, and pollution levels of six heavy metals (Cr, Cu, Pb, Ni, Zn, and Hg) in the soil. Moreover, we investigated the sources and contribution rates of these heavy metals using Principal Component Analysis/Absolute Principal Component Scores (PCA/APCS) and Positive Matrix Factorization (PMF) models. Our findings indicate that none of the six metals exceeded the pollution thresholds for farmland soils. However, the mean concentrations of Cr and Ni surpassed the background levels of Sichuan Province. A moderate spatial correlation existed between Pb and Ni, attributable to both natural and anthropogenic factors, whereas Zn, Cu, Hg, and Cr displayed a strong spatial correlation, mainly due to natural factors. The spatial patterns of Cr, Cu, Zn, Pb, and Ni were similar, with higher concentrations in the northern and eastern regions and lower concentrations centrally. Hg's spatial distribution differed, exhibiting a broader range of lower values. The single pollution index evaluation showed that Cr and Ni were low pollution, and the other elements were no pollution. The average value of comprehensive pollution index is 0.994, and the degree of pollution is close to light pollution. Predominantly, higher pollution levels in the northern and eastern regions, lower around reservoirs. The PCA/APCS model identified two main pollution sources: agricultural traffic mixed source (65.2%) and natural parent source (17.2%). The PMF model delineated three sources: agricultural activities (32.59%), transportation (30.64%), and natural parent sources (36.77%). Comparatively, the PMF model proved more accurate and reliable, yielding findings more aligned with the study area's actual conditions.

Evaluating net primary productivity dynamics and their response to land-use change in the loess plateau after the 'Grain for Green' program

Assessing net primary productivity (NPP) dynamics and the contribution of land-use change (LUC) to NPP can help guide scientific policy to better restore and control the ecological environment. Since 1999, the “Green for Grain” Program (GGP) has strongly affected the spatial and temporal pattern of NPP on the Loess Plateau (LP); however, the multifaceted impact of phased vegetation engineering measures on NPP dynamics remains unclear. In this study, the Carnegie-Ames-Stanford Approach (CASA) model was used to simulate NPP dynamics and quantify the relative contributions of LUC and climate change (CC) to NPP under two different scenarios. The results showed that the average NPP on the LP increased from 240.7 gC·m−2 to 422.5 gC·m−2 from 2001 to 2020, with 67.43% of the areas showing a significant increasing trend. LUC was the main contributor to NPP increases during the study period, and precipitation was the most important climatic factor affecting NPP dynamics. The cumulative amount of NPP change caused by LUC (ΔNPPLUC) showed a fluctuating growth trend (from 46.23 gC·m−2 to 127.25 gC·m−2), with a higher growth rate in period ΙΙ (2010–2020) than in period Ι (2001–2010), which may be related to the accumulation of vegetation biomass and the delayed effect of the GGP on NPP. The contribution rate of LUC to increased NPP in periods Ι and ΙΙ was 101.2% and 51.2%, respectively. Regarding the transformation mode, the transformation of grassland to forest had the greatest influence on ΔNPPLUC. Regarding land-use type, the increased efficiency of NPP was improved in cropland, grassland, and forest. This study provides a scientific basis for the scientific management and development of vegetation engineering measures and regional sustainable development.

Study on the Impact of Delayed Retirement on the Sustainability of the Basic Pension Insurance Fund for Urban Employees in China

With the aging of China’s population, the problem of pension security has become more and more prominent, and whether delayed retirement can effectively alleviate the pension fund gap and ensure the sustainability of the pension fund has become the focus of social concern. This study predicts the income and expenditure of urban workers’ basic pension insurance fund from 2021 to 2050 by constructing an actuarial model of pension insurance fund income and expenditure, and simulates the effect of delayed retirement policy. The prediction results show that under the existing system, the basic pension insurance fund for urban workers will have a shortfall for the first time in 2027, and the shortfall will expand year by year. Compared with the non-implementation of delayed retirement policy, the simulation of the implementation of a delayed retirement program delayed the emergence of the fund gap until 2029, and the forecast period of the pension fund gap significantly narrowed, indicating that delayed retirement policy has a certain positive impact on alleviating the pressure of pension payments, but delayed retirement cannot completely eliminate the pension fund gap. In view of this, this paper suggests that a progressive and flexible delayed retirement policy should be introduced as soon as possible to better adapt to the needs of different groups. At the same time, differentiated policies should be formulated for different groups of people and a pension incentive mechanism for delayed retirement should be set up to improve public acceptance of delayed retirement policy. In addition, delayed retirement policy should be combined with other measures, such as lowering the corporate contribution rate and enhancing the value-added capacity of the pension fund, so as to ensure the sustainability of the pension fund.

Spatio-temporal Variation in NEP in Ecological Zoning on the Loess Plateau and Its Driving Factors from 2000 to 2021

Net ecosystem productivity (NEP) is an important index for the quantitative evaluation of carbon sources and sinks in terrestrial ecosystems. Based on MOD17A3 and meteorological data, the vegetation NEP was estimated from 2000 to 2021 in the Loess Plateau (LP) and its six ecological subregions of the LP (loess sorghum gully subregions:A1, A2; loess hilly and gully subregions:B1, B2; sandy land and agricultural irrigation subregion:C; and earth-rock mountain and river valley plain subregion:D). Combined with the terrain, remote sensing, and human activity data, Theil-Sen Median trend analysis, correlation analysis, multiple regression residual analysis, and geographic detector were used, respectively, to explore the spatio-temporal characteristics of NEP and its response mechanism to climate, terrain, and human activity. The results showed that:① On the temporal scale, from 2000 to 2021 the annual mean NEP of the LP region (in terms of C) was 104.62 g·(m2·a)-1. The annual mean NEP for both the whole LP and each of the ecological subregions showed a significant increase trend, and the NEP of the LP increased by 6.10 g·(m2·a)-1 during the study period. The highest growth rate of the NEP was 9.04 g·(m2·a)-1, occurring in the A2 subregion of the loess sorghum gully subregions. The subregion C had the lowest growth rate of 2.74 g·(m2·a)-1. Except for the C subregion, all other ecological subregions (A1, A2, B1, B2, and D) were carbon sinks. ② On the spatial scale, the spatial distribution of annual NEP on the LP was significantly different, with the higher NEP distribution in the southeast of the LP and the lower in the northwest of the LP. The high carbon sink area was mainly distributed in the southern part of the loess sorghum gully subregions, and the carbon source area was mainly distributed in the northern part of the loess sorghum gully subregions and most of the C subregion. The high growth rate was mainly distributed in the central and the southern part of the A2 subregion and the southwest part of the B2 subregion. ③ Human activities had the greatest influence on the temporal variation in NEP in the LP and all the ecological subregions, with the correlation coefficient between human activity data and NEP being above 0.80, and the relative contribution rates of human factors was greater than 50%. The spatial distribution was greatly affected by meteorological factors, among which the precipitation and solar radiation were the main factors affecting the spatial changes in the NEP of the LP. The temporal and spatial variations in the NEP in the LP were influenced by natural and human social factors. To some extent, these results can provide a reference for the terrestrial ecosystem in the LP to reduce emissions and increase sinks and to achieve the goal of double carbon.

Land use transition and its effect on ecosystem service value with introducing "three wastes" factor in the industrial county, China.

Land use transition and its impact on ecosystem service value (ESV) are the foundation for optimizing the layout of territorial space and ecological civilization construction. With the acceleration of industrialization and urbanization, the area of construction land expands in China. To accurately estimate the ESV in industrial counties, the impact of construction land on the ecological environment should be fully considered. This paper took Gangcheng District, Jinan City, a steel base in the Shandong Province of China as an example, then the value coefficients of "three wastes" factors (waste gas, wastewater, and waste) were introduced, and an improved calculation method of ESV was put forward for industrial counties in combination with remote sensing and land use data. Finally, the land use transition and its ESV effect in typical industrial counties were analyzed using geo-informatic Tupu and grid method. The results showed that the most important land use transitions were from grassland and forestland to cultivated land, from cultivated land and forestland to construction land in 1990-2010, and from cultivated land transformed to forestland in 2010-2021. The types of land use transition were mainly repetitive and continuous. The ESV first decreased and then increased, with a slight overall decline for more than 30years, showing a spatial distribution characteristic of "low in the south-central and high around." Land use transition had the impact on ESV with the negative contribution rate of 68.28% in 1990-2000 and 73.16% in 2000-2010, mainly caused by the transition from forestland and grassland to cultivated land and construction land, and the positive contribution rate of 81.72% in 2010-2021, mainly caused by the transition from cultivated land to forestland. Compared with the ESV calculation method without introducing the "three wastes" factor and Xie Gaodi's method, the improved method in this paper considered the inevitable impact of construction land on ESV in industrial counties and made the ESV calculated more accurate according to the regional nature. This paper cannot only enrich the theories and technical methods of land use transition and its effects, and provide a case reference for similar industrial counties, but also provide data and decision-making support for the spatial layout and ecological protection in the study area.

Reliability and validity of the short version of the childhood abuse self report scale in Chinese college students

BackgroundThe reliability and validity of the current scale for measuring childhood abuse in China are worrying. The development of the Short Version of the Childhood Abuse Self Report Scale (CASRS-12) helps to change this situation, but the effectiveness of the tool has not yet been tested in Chinese participants. This study aims to test the reliability and validity of the CASRS‑12 in Chinese college students.MethodsA total of 932 college students were investigated, of whom 418 were investigated for the first time, and only the CASRS‑12 was filled out. In the second survey, 514 participants filled out the CASRS‑12, Depression Scale, Self-esteem Scale and Subjective Well-being Scale in turn. After 4 weeks, 109 participants were selected for retest.ResultsEach item of the CASRS‑12 had good discrimination. Exploratory factor analysis and confirmatory factor analysis (χ2/df = 4. 18, RMSEA = 0. 079, CFI = 0. 95, TLI = 0. 94, IFI = 0. 95, NFI = 0. 94) all supported the four-factor structure of the scale, and the cumulative contribution rate of variance was 76.05%. Cronbach’s α coefficient and retest reliability were 0.86 and 0.65, respectively. Childhood abuse was positively correlated with depression (r = 0. 42, p < 0.01), and negatively correlated with self-esteem (r=-0. 33, p < 0.01) and subjective well-being (r=-0. 32, p < 0.01).ConclusionThe Chinese version of CASRS‑12 meets the measurement standard and could be used to measure the level of childhood abuse of Chinese college students.