Sandy Land Research Articles

An evaluation of topsoil carbon storage in Chinese deserts

Deserts are important components of the terrestrial ecosystem, and significantly affect the terrestrial carbon cycle. However, their carbon storage is poorly understood. To evaluate the topsoil carbon storage in Chinese deserts, we systematically collected topsoil samples (to a depth of 10 cm) from 12 deserts in northern China and analyzed their organic carbon storage. We used partial correlation and boosted regression tree (BRT) analysis to analyze the factors influencing the spatial distribution of soil organic carbon density based on climate, vegetation, soil grain-size distribution, and element geochemistry. The total organic carbon pool of Chinese deserts was 4.83 × 108 t, the mean soil organic carbon density was 1.37 ± 0.18 kg C m−2, and the mean turnover time was 16.50 ± 2.66 yr. With the largest area, the Taklimakan Desert had the highest topsoil organic carbon storage (1.77 × 108 t). The organic carbon density was high in the east and low in the west, whereas the turnover time showed the opposite trend. The soil organic carbon density was >2 kg C m−2 in the four sandy lands in the eastern region, and was greater than the values for the eight deserts (0.72 to 1.22 kg C m−2). Grain-size (i.e., the silt and clay contents) had the strongest influence on the organic carbon density in Chinese deserts, followed by element geochemistry. Precipitation was the main climatic factor that affected the distribution of organic carbon density in the deserts. Based on climate and vegetation cover trends during the past 20 years, Chinese deserts have a high potential for future organic carbon sequestration.

<italic>De novo</italic> domestication and preliminary cultivar development of sand rice (<italic>Agriophyllum squarrosum</italic>), a sand dune pioneer species

<p indent="0mm">The comprehensive utilization of desert plants and sandy land resources is of far-reaching significance to the eco-civilization progress and food security in the arid region of northern China. The pioneer species <italic>Agriophyllum squarrosum</italic> is broadly distributed on the mobile sand dunes in the arid and semi-arid areas of northern China. Its seed, also called sand rice, has well-balanced nutritional values and has been consumed for more than <sc>1300 years.</sc> In 2010, our group first initiated the domestication research of sand rice by investigating the various historical literature and food consuming records of sand rice. Genetic modification and breeding are currently dependent on natural populations and artificial mutagenesis. A few modified lines with better agronomic traits have been initially isolated, laying a material foundation for further cultivation evaluation in different areas and cultivar declaration. However, the speed domestication of sand rice still requires systematically analyzing phenotypic variation among different germplasms, the establishment of a genetic transformation system, and isolating elite lines with a synchronous germination rate and strong seedling vigor.

Dynamic and attribution analysis of sandy lands in theBeijing-Tianjin sandstorm source region during 2000&amp;ndash;2018

沙地土地变化信息是京津风沙源治理工程成效评估核心指标之一。为深入调查京津风沙源沙化土地变化状况及驱动因素，本研究首先利用Landsat系列影像，构建了基于面向对象、决策树与变化检测的沙化土地动态监测体系，实现了京津风沙源2000、2010、2015及2018年4期沙化土地分布制图，在此基础上开展了京津风沙源沙化土地时空动态变化及驱动因素分析。结果表明：京津风沙源工程区沙化土地持续减少，2000-2018年间年均减少323.94平方公里，2015年后减少速率明显加快，年均减少893.55平方公里，近总体减少速率的3倍；沙化土地总体向沙化程度降低方向转换，流动沙地减少和沙化耕地增加最为明显，相对变化比例分别为18.52%和47.47%，其中流动沙地变化中有56.89%转换为半固定沙地，固定沙地变化中有27.57%转为沙化耕地，较为突出；人类活动及其与自然因素共同作用是沙化土地变化的主要驱动因素，占比分别为52.49%与29.74%，自然因素主导的变化不到1%，京津风沙源治理工程在沙化土地治理上成效明显；沙化土地明显减少的同时，流动沙地仍有较大面积分布，仍有一定比例的退化发生，也存在大量的沙地开垦现象，未来应予以高度关注。

Assessing Temporal Trade-Offs of Ecosystem Services by Production Possibility Frontiers

Ecosystems provide multiple valuable services that play an essential role in preventing meteorological risks, combating sandy land expansion, and ensuring sustainable development in the West Liao River Basin. The trade-off among ecosystem services (ES) is inevitable because of biophysical constraints and societal preferences. The production possibility frontier (PPF) is increasingly deemed an appropriate tool for representing trade-off relationships among ES. In this study, we developed a feasible approach for estimating PPF, which includes three steps. First, the annual water yield model, the sediment delivery ratio model, the carbon storage and sequestration model, and the habitat quality model of InVEST models were used to quantify temporal changes in four key ES, including water retention, soil conservation, carbon sequestration, and habitat improvement, in five-year periods from 1990 to 2020. Second, after the standardization of ES quantities, the functional forms of PPF curves for six pairs of ES trade-offs were derived by adopting a two-term exponential function of the curve fitting tool in MATLAB. Third, the trade-off intensity for each ES pair was defined and calculated based on the distance from the mean point to the PPF curve. Compared to the existing approaches, our approach has the advantage of fitting functional forms of PPF curves, handling both positive and negative values of ES, and calculating trade-off intensities. This study has three implications. First, showing the trade-offs between ES by PPF is helpful for providing knowledge on the existence of turning points and a complex relationship between certain ES pairs, thus avoiding unintended and large-scale shifts in the provision of ES. Second, PPF curves are a useful tool for visualizing the nature of ES relationships and the changes in trade-off intensity, thus supporting decision-makers to identify optimal solutions and make land use planning that can increase the overall efficiency over multiple ES. Third, socioeconomic components should be integrated into the assessment of ES trade-offs in order to understand the influences of societal choices on and examine stakeholders’ preferences regarding efficient ES combinations.

Impacts of the world’s largest afforestation program (Three-North Afforestation Program) on desertification control in sandy land of China

ABSTRACT In order to control the desertification, large-scale afforestation programs have been attempted worldwide. Among them, China initiated the world’s largest afforestation program, Three-North Afforestation Program (TNAP, 1978–2050), in which the afforestation in sandy land has been questioned during the first 40 years. In fact, the contribution of the TNAP to vegetation establishment and its effectiveness in desertification control still remain unclear, which limited the further construction of the program. To answer the questions, we detected the dynamics of vegetation distribution (forest, shrubland, and grassland) and desertification status (slight, moderate, severe, and extremely severe) during 1978–2017 in the sandy land (45.5 million ha), by visual interpretation of 5-period remote sensing images with validation based on 3,100 sample plots from field surveys and 15,175 sample plots from the National Forest Resource Inventory. Vegetation degradation was identified by analysis combining the trends of net primary productivity and precipitation use efficiency. By Geographical Detector model, the driving forces of vegetation degradation (climate change, human activities, vegetation type, and sandy land type) were ranked and the contributions of the influential factors (climate change, human activities, and vegetation dynamics) to desertification changes were estimated. The results showed that for the 40 years, vegetation coverage increased by 0.5%, with increasing 113.8% and 338.8% of forest and shrubland, but decreasing 9.0% of grassland. Desertification area had little change while the overall intensity decreased. The TNAP contributed to desertification dynamics by 10.3%, which is lower than expected. Vegetation type was the dominant factor of vegetation degradation in general. Forest is less suitable for afforestation in sandy land than shrubland and grassland because of its lower stand establishment rate, higher degradation rate, and less contribution to desertification control. Thus, adjusting vegetation type to match local conditions (e.g., use shrub-land, grassland, and native species) and improving the vegetation resistance (e.g., transform monoculture forests into mixed forests, and make proper proportion for forest, shrubland, and grassland) was suggested. Our study provided specific and feasible strategies for further planning and implementation of TNAP, and references for vegetation restoration of sandy lands worldwide.

Long-term response of runoff and sediment load to spatiotemporally varied rainfall in the Lhasa River basin, Tibetan Plateau

Fluvial runoff and sediment play vital roles in channel evolution, material cycling, water resource utilization and ecological environment. In the context of global climate change, the assessment of runoff and sediment in response to climate change is of great significance for water and soil conservation, especially in alpine regions such as the Tibetan Plateau with limited availability of long-term observed data. In this study, based on the available records for the period 1980–2018, the spatiotemporal variations in rainfall-related parameters (rainfall and rainfall erosivity (RE)), and their impacts on the runoff–sediment load (SL) process were investigated in the Lhasa River Basin (LRB) by cross-coherence analysis. In addition, the individual and combined effects of other regional environmental factors (e.g., temperature, snow water equivalent (SWE) and vegetation) on runoff and SL were quantitatively identified using partial least squares structural equation modeling (PLS-SEM). The results showed that the changes in rainfall-related parameters experienced an upward trend at a rate of 3.59 mm/decade (rainfall amount) and 46.05 MJ·mm·ha−1·h−1/decade (RE), respectively. The regions with the most obvious increase occurred in downstream of LRB. However, runoff displayed an insignificant decreasing trend, together with increasing water inputs from the wetter climate in the middle and lower reaches. The contrasting SL trends were found in the middle (significantly descending: 5.5 × 104 t/decade) and downstream reaches (slightly increasing: 19.27 × 104 t/decade). Rainfall-related parameters generally played a positive role in runoff and SL at all hydrological stations, and their action gradually weakened after 2005 despite still being the dominant factor. Other environmental variables, such as vegetation, did not limit runoff but did reduce the SL with an increase in vegetation coverage in the LRB, where large-area vegetation restoration projects were implemented and mainly distributed on the sandy land and floodplain of the lower reach of the basin. Snow, however, had slightly positive promoting effects on runoff and SL under the scenario of SWE reduction with increasing temperature. All above-mentioned variables jointly explained 73.9–76.7% and 39.2–52.4% of the total variability in runoff and SL, respectively. These findings provide valuable insights into future studies on water and soil conservation planning and ecological restoration in cold and high-altitude regions.

Effects of Leymus Chinensis (Trin.) Tzvelev Grassland Litter Return on Soil Microbial Biomass Carbon of the Songnen Sandy Land in China

Effects of litter return of Leymus chinensis grassland on soil microbial biomass carbon of the Songnen sandy land were investigated. Characteristics of soil microbial biomass carbon (SMBC) from subhumid area of L. chinensis grassland ecosystem at different content of litter returns (0, 200 and 400 g/m2) and soil depths (0-10, 10-20, 20-30 and 30-40 cm) were evaluated. Results showed that the content of SMBC increased with the increase in litter return at the same soil depth. The content was highest (426.17 mg/kg) at 400 g/m2 litter return, which was 1.61 and 1.50 times higher than at 0 and 200 g/m2, respectively at the depth of 0-10 cm, and decreased sharply at 10-40 cm. These results showed that increasing the amount of litter return and suitable management measures can effectively enhance the carbon content of soil microbial biomass and improve soil microbial activity and fertility to ensure the balance of grassland ecosystem. Bangladesh J. Bot. 51(4): 907-912, 2022 (December) Special

Ecological Stoichiometric Characteristics in Organs of Ammopiptanthus mongolicus in Different Habitats.

The essence of plant ecological stoichiometry is to study the relationships between species and their environment, including nutrient absorption, utilization and cycling processes as well as the nutrient limitation of plants. Plants can regulate nutrient elements and adapt to environmental changes. To understand the adaptation mechanism, it is important to take plants as a whole and quantify the correlation between the chemometrics of different organs. Ammopiptanthus mongolicus is within the second-class group of rare−endangered plants in China and is the only evergreen broad-leaved shrub in desert areas. We analyzed the ecological stoichiometric characteristics of leaves, stems, roots, flowers and seeds of A. mongolicus in five habitats, namely fixed sandy land, semi-fixed sandy land, stony−sandy land, alluvial gravel slope and saline−alkali land. We found that (1) the nutrient contents of N, P and K were in the order of seed > flower > leaf > root > stem. The enrichment of the N, P and K in the reproductive organs promoted the transition from vegetative growth to reproductive growth. Additionally, (2) the contents of C, N, P and K and their stoichiometric ratios in different organs varied among different habitat types. The storage capacity of C, N and P was higher in sandy soil (fixed and semi-fixed sandy land), whereas the content of K was higher in gravelly soil (stony−sandy land and alluvial gravel slope), and the C:N, C:P and N:P were significantly higher in gravelly soil than those in sandy soil. A. mongolicus had higher nutrient use efficiency in stony−sandy land and alluvial gravel slope. Furthermore, (3) the C:N and N:P ratios in each organ were relatively stable among different habitats, whereas the K:P ratio varied greatly. The N:P ratios of leaves were all greater than 16 in different habitats, indicating that the growth was mainly limited by P. Moreover, (4) except for the P element, the content of each element and its stoichiometric ratio were affected by the interaction between organs and habitat. Habitat had a greater impact on C content, whereas organs had a greater influence on N, P and K content and C:N, C:P, C:K and N:P.

Application Timing of Premixed Formulation of Atrazine and Mesotrione in No-Tillage Corn Grown in Sandy Land

Application Timing of Premixed Formulation of Atrazine and Mesotrione in No-Tillage Corn Grown in Sandy Land

Vegetation Change and Eco-Environmental Quality Evaluation in the Loess Plateau of China from 2000 to 2020

Vegetation change and ecological quality of the Loess Plateau (LP) are directly related to ecological protection and high-quality development of the Yellow River Basin. Based on LP ecological zoning and multisource remote sensing data, we analyzed vegetation change and its relationship with climate, terrestrial water storage (TWS), and land use/cover change from 2000 to 2020, using the normalized difference vegetation index (NDVI), fraction of vegetation cover (FVC), and net primary productivity (NPP). And ecological environmental quality was evaluated based on the remote sensing ecological index (RSEI). The results showed that the spatial distribution pattern of NDVI, FVC and NPP decreased from southeast to northwest in the LP as a whole. Vegetation in the LP recovered significantly, and NDVI, FVC, and NPP showed significant increases of 35.66%, 34%, and 54.69%, respectively. The average NDVI and FVC in the earth–rocky mountainous region and river valley plain region (Area D) were the highest, but the growth rate was the slowest. The average NDVI, FVC, and growth rates in the loess hilly and gully regions (Area B) were slightly higher than those in the loess sorghum gully region (Area A). The average NDVI, FVC, and NPP in the sandy land and agricultural irrigation regions (Area C) were the lowest but showed significant increase. RSEI in most LP areas changed from poor to medium, increasing by 43.45%. Precipitation is the basic factor affecting vegetation cover pattern, with the increase (40.79 mm/10a) promoting vegetation restoration in the LP. Vegetation restoration lost much TWS (−0.6 mm/month), and Area D had the highest average NDVI, FVC, and NPP but the largest TWS loss. Anthropogenic land use/cover change (LUCC) (decrease in cultivated land and unused land; increase in forest, grassland, and construction land) is the primary factor affecting LP vegetation change. This study provides a scientific reference for further vegetation restoration in the LP.

Study of the spectral characters–chlorophyll inversion model of Sabina vulgaris in the Mu Us Sandy Land

As the dominant shrub community plant in the Mu Us Sandy Land, S. vulgaris is the key factor of ecological environment restoration in the Mu Us Sandy Land, It is of great significance to explore the estimation and inversion of content based on spectrum for ecological environment evaluation and intervention in Mu Us Sandy Land. The SVC HR-1024 portable feature spectrometer and SPAD 502 chlorophyll meter were used to study Mu Us Sandy Land of S. vulgaris. The best band is screened by correlation matrix method, the best vegetation index is screened by Structural Equation Modeling model, and then the best inversion model is established by different mathematical modeling methods. Results revealed that the vegetation indices and chlorophyll content were correlated, combining the six vegetation indices revealed that 610–690nm and 700–940 nm were the bands with the highest correlation. In the selection of optimal vegetation index, NDVI, ratio vegetation index and mNDVI perform best and are suitable for subsequent modeling. Of the four models, the partial least squares model had the best fitting effect (R2 &amp;gt; 0.91). The univariate linear regression model had the simplest processing procedure, but its accuracy was unstable (R2 = 0.1–0.9). multivariate stepwise regression accuracy is also appropriate (R2 &amp;gt; 0.8). The stability of BP neural network modeling is not high. Compare the four methods, PLS and multivariate stepwise regression have their own advantages, and the accuracy is higher, you can make a choice according to the demand as the late modeling method.

Spatio-Temporal Patterns and Driving Forces of Desertification in Otindag Sandy Land, Inner Mongolia, China, in Recent 30 Years

Background: Desertification is one of the main obstacles to global sustainable development. Monitoring, evaluating and mastering its driving factors are very important for the prevention and control of desertification. As one of the largest deserts in China, the development of desertification in Otindag Sandy Land (OSL) resulted in the reduction in land productivity and serious ecological/environmental consequences. Although many ecological restoration projects have been carried out, the vegetation restoration of OSL and the impact mechanism of climate and human activities on desertification remain unclear. Methods: Taking OSL as the research area, this paper constructs the desertification index by using the remote sensing images and meteorological and socio-economic data, between 1986 and 2016, and analyzes the spatio-temporal evolution process and driving factors of desertification by using trend analysis and spearman rank correlation. Results: The results showed that: (1) Desertification in the OSL has fluctuated greatly during the past 30 years. Desertification recovered between 1986 and 1990, expanded and increased between 1990 and 2000, reduced between 2000 and 2004, developed rapidly between 2004 and 2007, and recovered again between 2007 and 2016; (2) The desertification of OSL is dominated by a non-significant change trend, accounting for 73.27%. In the significant change trend, the area of desertification rising trend is 20.32%, which is mainly located in the north and east, and the area of declining trend is 6.41%, which is mainly located in the southwest; (3) Desertification is the result of the superposition of climate and human activities. Climate change is the main influencing factor, followed by human activities, and the superposition effects of the two are spatio-temporal differences. Conclusions: These results shed light on the development of desertification in OSL and the relative importance and complex interrelationship between human activities and climate in regulating the process of desertification. Based on this, we suggest continuing to implement the ecological restoration policy and avoid the destruction of vegetation by large-scale animal husbandry in order to improve the situation of desertification.

Response of the plant–soil system to desertification in the Hulun Buir Sandy Land, China

AbstractIn this study, the vegetation and soils of different desertification landscapes (sandy grassland, and fixed, semi‐fixed, semi‐mobile, and mobile dunes) in the Hulun Buir Sandy Land were examined to quantify the impacts of desertification on plants, soils, and microbes, and the key limiting factors of restoration. Desertification caused soil quality to decline and led to an imbalance of nitrogen (N) and phosphorus (P) supplies (N:P ratios decreased significantly from 3.55–1.8, p &lt; 0.05). Desertification did not change the stoichiometric relationships among plant carbon (C), N, and P at a community level, but promoted redistribution of nutrients from roots to aboveground tissues. The aboveground biomass N and P increased by 9.8% and 39.3%, respectively from grassland to mobile dunes, but these of the underground biomass decreased by 26.1% and 37.7%, respectively. N limitation (plant N:P &lt; 10) occurred at the community level. Desertification led to the change of dominant species from perennial herbs to annual psammophytes, and plant diversity (from 1.15–0.79) and productivity (from 880.6 to 128.6 g m−2) first increased slightly (p &gt; 0.05) and then decreased sharply (p &lt; 0.05) with increasing desertification, but with no significant (p &gt; 0.05) change of the microbial community. Redundancy analysis showed that the main environmental drivers were the soil N:P (with an explanation of 29.6%), followed by pH, electrical conductivity, and the soil's fine particles (with a total explanation of 24.3%). Based on these results, three reference frames were proposed for the restoration of the near‐original vegetation community.

毛乌素沙地杨柴液流变化对气象因子的响应

毛乌素沙地杨柴液流变化对气象因子的响应

宁夏河东沙区刺槐和丝绵木水分利用策略

PDF HTML阅读 XML下载 导出引用 引用提醒 宁夏河东沙区刺槐和丝绵木水分利用策略 DOI: 10.5846/stxb202202100330 作者: 作者单位: 作者简介: 通讯作者: 中图分类号: 基金项目: 国家自然科学基金项目（31760236，42161013）；宁夏自然科学基金项目（2022AAC03094） Water use strategies of Robinia pseudoacacia and Euonymus bungeanus in the east sandy land of the Yellow River in Ningxia, China Author: Affiliation: Fund Project: The National Natural Science Foundation of China (31760236,42161013);The National Natural Science Foundation of Ningxia,China(2022AAC03094) 摘要 | 图/表 | 访问统计 | 参考文献 | 相似文献 | 引证文献 | 资源附件 | 文章评论 摘要:刺槐和丝绵木混交林是宁夏河东沙区防护林建设的主要模式，了解刺槐和丝绵木的水分利用策略，能为区域植被恢复和防护林林分结构调整提供科学依据。以宁夏河东沙区刺槐（Robinia pseudoacacia）和丝绵木（Euonymus bungeanus）混交林为研究对象，通过监测微气象、树干液流和土壤质量含水量，结合大气降水、土壤水、植物木质部水同位素组成，采用Granier及其校正公式，运用贝叶斯混合模型（MixSIAR）和相似性比例指数（PS）研究2个树种的蒸腾耗水、水分来源和水分利用关系。结果表明：刺槐和丝绵木的蒸腾耗水量在生长季中期较高，前期和后期较小，刺槐的蒸腾耗水量是丝绵木的1.55倍；影响刺槐蒸腾耗水的主要环境因子为饱和水汽压差、太阳辐射、0-40 cm土壤质量含水量和40-120 cm土壤质量含水量；影响丝绵木蒸腾耗水的主要环境因子为饱和水汽压差、太阳辐射、平均气温、0-40 cm土壤质量含水量和40-120 cm土壤质量含水量；蒸腾耗水较高时，刺槐主要吸收利用中层土壤水，丝绵木主要吸收利用浅层土壤水，蒸腾耗水较低时，刺槐主要吸收利用浅层土壤水，丝绵木主要吸收利用中层土壤水；在土壤水分含量较小的月份，刺槐和丝绵木主要通过水分利用空间上的差异来应对干旱，维持自身的蒸腾耗水；土壤水分含量较高的月份，刺槐和丝绵木的相似性比例指数最大，存在较强的水分竞争关系；浅层土壤水分含量较高可能反映了沙区植物根系对土壤水分再分配作用下植物在水分和养分需求之间的平衡。 Abstract:The mixed forest of Robinia pseudoacacia and Euonymus bungeanus is the typical shelterbelt construction mode in the east sandy land of the Yellow River in Ningxia, China. Research on the water use strategies of Robinia pseudoacacia and Euonymus bungeanus could provide scientific basis for restoration regional vegetation and stand structure optimization allocation of shelter forest. In this study, the sap flow of Robinia pseudoacacia and Euonymus bungeanus was monitored continuously to clarify the characteristics of water consumption by transpiration which calculated by Granier and its correction formula, as well as simultaneous records of micro-meteorological factors and gravimetric soil water content. Combined with stable hydrogen and oxygen isotope analysis of rainfall, soil water and plant xylem water, the water source and water use relationship among symbiotic trees were quantitatively analyzed by Bayesian mixture model (MixSIAR) and the proportional similarity index (PS). The results showed that the water consumption of Robinia pseudoacacia and Euonymus bungeanus were higher in the middle growing season, but lower in the early and late growing season. The water consumption of Robinia pseudoacacia was 1.55 times larger than Euonymus bungeanus. The main environmental factors affecting water consumption of Robinia pseudoacacia were vapour pressure deficit, solar radiation, 0-40 cm gravimetric soil water content and 40-120 cm gravimetric soil water content. The main environmental factors affecting water consumption of Euonymus bungeanus were vapour pressure deficit, solar radiation, average temperature, 0-40 cm gravimetric soil water content and 40-120 cm gravimetric soil water content. Robinia pseudoacacia mainly used the middle layer soil water and Euonymus bungeanus mainly used the shallow layer soil water in the season with high water consumption. While the shallow layer soil water and the middle layer soil water were ultilized by Robinia pseudoacacia and Euonymus bungeanus separately in the season with lower tree water consumption. In addition, Robinia pseudoacacia and Euonymus bungeanus was able to deal with drought and maintain their own water consumption mainly through the spatial difference of water use strategy under drought seasons. In the seasons when gravimetric soil water content was higher, the proportional similarity index (PS) of Robinia pseudoacacia and Euonymus bungeanus was the highest, and there was a strong water competition relationship. The higher of shallow layer gravimetric soil water content might reflect a trade-off between water and nutrient requirements of plants under the effect of soil water redistribution by plant roots in the sandy land. 参考文献 相似文献 引证文献

内蒙古自治区沙漠化敏感性时空演变格局和趋势分析

PDF HTML阅读 XML下载 导出引用 引用提醒 内蒙古自治区沙漠化敏感性时空演变格局和趋势分析 DOI: 10.5846/stxb202112183592 作者: 作者单位: 作者简介: 通讯作者: 中图分类号: 基金项目: 国家重大专项（04-H30G01-9001-20/22-03）；国家自然科学基金项目（211035210511）；中央高校基本科研业务费专项资金项目；陕西省科技计划项目重点研发项目（211435220242） Analysis of the temporal and spatial evolution pattern and trend of desertification sensitivity in the Inner Mongolia Autonomous Region Author: Affiliation: Fund Project: 摘要 | 图/表 | 访问统计 | 参考文献 | 相似文献 | 引证文献 | 资源附件 | 文章评论 摘要:以内蒙古自治区为研究区，基于压力-状态-响应模型（PSR）分析框架，耦合空间距离指数模型（SDIM）构建土地沙漠化敏感性评价体系（LDSES），结合沙漠化敏感性时空演变图谱，定量探讨内蒙古自治区土地沙漠化敏感性在2000年、2005年、2010年、2015年、2020年期间的时空演变，并引入元胞自动机-马尔科夫（CA-Markov）模型模拟沙漠化敏感性未来演变机制，进而采用地理探测器揭示了前20 a演变进程中主要驱动因子对其演变的影响特征及解释力。结果表明：（1）内蒙古自治区沙漠化敏感性整体上呈现由东北向西南递增的趋势，低敏感区位于大兴安岭和阴山山脉周边林草地覆盖区，高敏感区则位于西南部的巴丹吉林沙漠、腾格里沙漠、乌兰布和沙漠、库布其沙漠、毛乌素沙漠等沙地和戈壁地区；（2）从沙漠化敏感性时空演变上来看，研究期间沙漠化敏感性改善的区域，占总面积的30.65%，沙漠化敏感性恶化的区域，占总面积的4.48%，沙漠化敏感性类型维持稳定不变的区域占总面积的52.72%，整体来看土地沙漠化潜力逐渐降低，土地生态质量逐渐好转；（3）2030年沙漠化敏感性模拟结果显示未来10年沙漠化敏感性以低度敏感为主要类型（26.43%），沙漠化潜力将大幅下降，生态工程措施将取得一个较好的结果；（4）驱动力分析表明，沙漠化敏感性对气候因素的响应尤为敏感，其中降雨量对沙漠化敏感性分异的解释力最大；在社会经济发展因素中，经济发展水平起主要影响，说明经济水平的提高在一定程度上将影响土地沙漠化敏感性，各驱动因子交互对沙漠化敏感性呈现增强作用，表明沙漠化敏感性的分异是由多种因素共同作用的结果。研究可为半干旱区沙漠化防治和策略的制定提供借鉴。 Abstract:Taking the Inner Mongolia Autonomous Region as the study area, based on the Pressure-State-Response (PSR) analysis framework and coupled with the spatial distance index model (SDIM), the Land Desertification Sensitivity Evaluation System (LDSES) is constructed. Then combined with the spatio-temporal evolution map of desertification sensitivity, this paper quantitatively discusses the temporal and spatial evolution of land desertification sensitivity in the Inner Mongolia Autonomous Region in 2000, 2005, 2010, 2015 and 2020. At the same time, CA-Markov model is introduced to simulate the future evolution mechanism of desertification sensitivity, and then the geographic detector is used to reveal the characteristics and explanatory power of the main driving factors in the evolution of the first 20 years. The results showed that:(1) the desertification sensitivity of the Inner Mongolia Autonomous Region showed an increasing trend from the northeast to the southwest. Insensitive areas were located in the forest and grassland areas around Great Khingan and Yin Mountains. Highly sensitive areas were located in sandy land and the Gobi Desert such as the Badain Jaran Desert, Tengger Desert, Urumqi Desert, Rambuh Desert, Kubuqi Desert, and Mu Us Desert in the southwest. (2) From the perspective of the temporal and spatial evolution of desertification sensitivity, the areas with improved desertification sensitivity during the study period accounted for 30.65% of the total area. Areas with deteriorating desertification sensitivity accounted for 4.48% of the total area, and areas where the type of desertification sensitivity remained stable accounted for 52.72% of the total area. On the whole, the potential for land desertification is gradually decreasing and the ecological quality of the land was gradually improving. (3) The simulation results of desertification sensitivity in 2030 showed that in the next 10 years, low sensitivity will be the main type (26.43%), the desertification potential will be greatly reduced, and ecological engineering measures will achieve a good result. (4) The driving force analysis showed that the sensitivity of desertification was particularly sensitive to climatic factors, among them, rainfall had the greatest explanatory power for the differentiation of desertification sensitivity. Among the factors of social and economic development, the level of economic development played a major role, indicating that the improvement of economic level would affect the sensitivity of land desertification to a certain extent. And the interaction of various driving factors enhanced the sensitivity of desertification, indicating that the differentiation of desertification sensitivity was the result of a combination of multiple factors. The research can provide reference for the formulation of desertification control and strategies in semi-arid regions. 参考文献 相似文献 引证文献

Combination of organic soil amendments and weed control to optimize the growth and yield of peanuts in sandy soils in coastal areas

Sandy soils in coastal areas can be managed for peanut cultivation by minimizing the limiting factors. The study aimed to use organic soil amendments combined with weed control methods to optimize peanuts' growth and yield in sandy land. The research was conducted in the coastal area of Bengkulu, Indonesia, from September 2019 to January 2020. Two experimental factors were arranged in a completely randomized block design with three replications. The first was soil amendment consisted of cow manure (CM), the compost of empty fruit bunches of oil palm (EFB), and without soil amendment as a control, and the second was weed control methods consisted of preemergence application of oxyfluorfen, postemergence application of propaquizafop, and hand-weeding. The results found the most effective weed control in the EFB compost was hand-weeding, but in CM application was propaquizafop. The efficacy of propaquizafop was not significantly different from hand-weeding to control the sedges and grassy weeds. Plant growth improved, and the yield of peanuts increased by the CM and compost of EFB. Optimal growth and yield of peanuts were observed in the CM treatment, namely as the stover weight and pods yield of 28.74 g/plant and 5.82 tons/ha, respectively. With hand-weeding control, the peanut stover and pods yield was 28.79 g/plant and 5.78 tons/ha, respectively. The research provided novel information regarding the potential of the coastal land for peanut cultivation using local organic materials as soil amendments.

A dataset of ecosystem fluxes in a shrubland ecosystem of Mau Us Sandy Land in Yanchi, Ningxia, China (2012-2016)

A dataset of ecosystem fluxes in a shrubland ecosystem of Mau Us Sandy Land in Yanchi, Ningxia, China (2012-2016)

Variation of bacterial communities and their driving factors in different types of biological soil crusts in Mu Us sandy land

Variation of bacterial communities and their driving factors in different types of biological soil crusts in Mu Us sandy land

Soil Moisture Dynamics and the Response to Precipitation in Fixed Sand Dunes of Artemisia Ordosica Community in Mu Us Sandy Land

Soil Moisture Dynamics and the Response to Precipitation in Fixed Sand Dunes of Artemisia Ordosica Community in Mu Us Sandy Land