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    15 February 2024, Volume 41 Issue 2 Previous Issue    Next Issue
    Weather and Climate
    Change in atmospheric and surface water resource in Xinjiang
    YAO Junqiang
    2024, 41 (2):  181-190.  doi: 10.13866/j.azr.2024.02.01
    Abstract ( 115 )   HTML ( 27 )   PDF (5791KB) ( 179 )  

    The scarcity of water resources is the most critical natural factor impeding high-quality economic and social development and ecological security in Xinjiang. This paper systematically analyzes trends in precipitation, atmospheric water resources, and surface water resources in Xinjiang. It also establishes the conversion relationship between different water resources in Xinjiang. The findings reveal that annual precipitation water resources amount to 2717.12×108 m3, with water vapor input reaching 21115×108 m3, resulting in a net water vapor income of 347.5×108 m3. Between 1961 and 2022, Xinjiang experienced a 12.5% increase in precipitation conversion. The annual total water resources in Xinjiang is 912.3×108 m3, where surface water resources constituted 864.1×108 m3 from 2001 to 2020, resulting in a water yield coefficient of 0.32. The observed trends show a significant increase in annual precipitation in Xinjiang, a slight decrease in total water vapor input, a marginal increase in net water vapor income, and a significant increase in precipitation conversion between 1961 and 2022. Although surface water resources in Xinjiang are abundant, the water yield coefficient exhibited a weak fluctuating decreasing trend from 2001 to 2020. Nevertheless, prominent issues persist in water resources research in Xinjiang, including insufficient studies on precipitation water resource volumes, understanding of cloud water resource characteristics, and continuous monitoring of the physical process of cloud precipitation. To address these challenges, it is imperative to conduct comprehensive scientific field experiments on cloud precipitation physics, including strengthening research on the physical processes of cloud precipitation, refining cloud water resource assessments, and examining precipitation efficiency and water increase effects within typical cloud systems. These studies will aid in developing cloud water resources and air-groundwater resources joint control technology for arid areas.

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    Spatialtemporal variation characteristics of drought in the Fenhe River Basin based on CWSI
    ZHOU Yi, SUO Wenjiao
    2024, 41 (2):  191-199.  doi: 10.13866/j.azr.2024.02.02
    Abstract ( 75 )   HTML ( 15 )   PDF (8308KB) ( 86 )  

    Based on MOD16 global evapotranspiration data, the Crop Water Stress Index (CWSI) was computed. This was combined with the meteorological station precipitation, temperature, and vegetation index data in the Fenhe River Basin, along with land use data. Employing the difference method, linear trend method, and correlation analysis, the temporal and spatial characteristics of drought in the Fenhe River Basin from 2000 to 2021 were analyzed. The results showed that: (1) CWSI effectively monitored drought in the Fenhe River Basin, displaying a notably negative correlation between CWSI and 10 cm soil relative moisture. (2) The spatial distribution of CWSI in the Fenhe River Basin exhibited significant disparities, illustrating wet conditions in the south and dry conditions in the north. (3) While interannual CWSI variations in the Fenhe River Basin remained relatively stable, monthly fluctuations were substantial, peaking in May annually. (4) Drought conditions varied distinctly during different growing periods in the Fenhe River Basin: significant drought occurred in the early growing season (April to May), encompassing 48.55% of the Fenhe River Basin area. No drought occurred in the mid-growing season (June to August). By the end of the growing season (September to October), only 11.17% of the area experienced drought. (5) Drought occurrences differed among various land use types, ranked by CWSI from smallest to largest: forest land (0.686) < grassland (0.749) < cultivated land (0.751) < unused land (0.758) < urban land (0.765). These study outcomes offer critical scientific data support for drought monitoring and decision-making regarding drought resistance in the Fenhe River Basin.

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    Observational analysis of a hailstorm event in Northeast Qinghai
    WANG Qihua, LIN Chunying, LIU Xiao, ZHANG Liyan, ZHAO Zhanxiu, ZHANG Boyue, GONG Jing
    2024, 41 (2):  200-210.  doi: 10.13866/j.azr.2024.02.03
    Abstract ( 52 )   HTML ( 13 )   PDF (17215KB) ( 58 )  

    The Northeast of Qinghai Province is the key area for crop production and but is highly susceptible to hail. Hail forecasting, early warning, and artificial anti-hail operations are crucial strategies for reducing hail disasters. Understanding the features of hail monitoring data is fundamental to improving hail forecasting capabilities and initiating timely performing hail suppression measures. The hailstorm occurrence on June 29, 2021, Northeast of Qinghai, was analyzed using Doppler radar data, raindrop spectrum data, and high and ground data. The results revealed extreme unstable atmosphere stratification due to cold advection transportation at the upper levels, coupled with obvious temperature increases on the ground in this region, which is the weather background of this hailstorm process. During the hailstorm, the average raindrop spectrum and velocity spectrum at Pingan Station exhibited multipeak distribution. Differences between the maximum diameter of the Pingan hailstorm observed artificially and the raindrop spectrometer were insignificant, indicating the raindrop spectrometer’s efficacy in observing hail particles and determining the time of maximum hail occurrence. The developmental stages of the hail cloud were identified, encompassing occurrence, jump, hail formation, and extinction. There was an obvious “V” shaped inflow gap in the low-level radar reflectivity factor before the hail. In the mature stage, the hail cloud displayed a noticeable bounded weak echo area, with obvious southerly inflow in the middle and lower layers. The radial velocity map depicted a discernible “0 line” in the hail cloud, pointing vertically upward through the overhanging echo and bounded weak echo region, indicating the top of the hail cloud. The research results have important guiding significance for hail forecasting Northeast of Qinghai. Moreover, the characteristics of various elements preceding hail occurrence serve as important criteria for scientifically identifying sites and conducting timely and appropriate artificial hail suppression operations.

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    Analysis of moisture feeding in the Ulugh Muztagh area of the East Kunlun Mountains
    WU Jiakang, CHEN Lihua, CHE Yanjun, ZHANG Mingjun, CAO Yun, GU Lailei
    2024, 41 (2):  211-219.  doi: 10.13866/j.azr.2024.02.04
    Abstract ( 51 )   HTML ( 13 )   PDF (13097KB) ( 40 )  

    Precipitation acts as a crucial supply for mountain glaciers, and its water vapor source closely correlates to the amount of precipitation. This study focuses on the modern glacier distribution area of Ulugh Muztagh in the eastern Kunlun Mountains, analyzing water vapor sources in the region from 2005 to 2022 using the Hybrid Single Particle Lagrangian Integrated Trajectory (HYSPLIT) model and the Global Data Assimilation System (GDAS). Employing backward trajectory analysis, we reveal the source and regularity of water vapor in the Ulugh Muztagh region and discuss its seasonal changes. The results show that the water vapor source in the Ulugh Muztagh area mainly extends to the Eurasian interior along the midlatitude westerly belt and is divided into three routes entering the Qinghai-Tibet Plateau from the Tianshan Mountains, the Pamir Plateau, and over the high-altitude stratosphere. On the Qinghai-Tibet Plateau, water vapor from the Indian Ocean either moves northward over the Himalayas or turns northwestward to merge with the westerly circulation into the plateau’s hinterland. Land-source water vapor, entering from the Pamir Plateau and Tianshan Mountains, accounts for 62.52% of the total water vapor in the Ulugh Muztagh area. Meanwhile, sea source water vapor, comprising high-altitude water vapor from the westerly belt (Atlantic water vapor) and the Indian Ocean, accounts for 37.48% of the total water vapor. Notably, we find that the proportion of water vapor from the sea source has increased steadily over recent decades. Analyzing multiyear seasonal averages for water vapor, we find a notably high proportion of locally recycled water vapor in the summer, comprising 22.64% of the total. This study’s outcomes offer valuable insights into the water cycle dynamics of the Ulugh Muztagh area in the East Kunlun Mountains.

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    Spatial distribution and factor analysis of avalanche in the Aerxiangou section of the Duku expressway
    CHENG Qiulian, LIU Jie, YANG Zhiwei, ZHANG Tianyi, WANG Bin
    2024, 41 (2):  220-229.  doi: 10.13866/j.azr.2024.02.05
    Abstract ( 48 )   HTML ( 13 )   PDF (11725KB) ( 45 )  

    The proposed Aerxiangou section of the Duku expressway, characterized by high mountainous terrain and canyons, faces frequent avalanches due to heavy snowfall and climate change. In this study, a collaborative investigation using UAV remote sensing interpretation and field research identified 92 avalanche points. In addition, elevation, slope, surface cutting degree, ground roughness, maximum snow depth, maximum wind speed, average temperature, and average snowfall were selected as driving factors. A geographical detector was used to examine the relationship between terrain factors, different resolutions, and avalanche stability. The results of this study revealed strong avalanche activity with generally poor stability in the study area. However, it was reassuring to note that most avalanche release and activity areas are located on mountain slopes. The accumulation area lies on the valley floor, a considerable distance away from the planned road route, thus minimizing its impact. Results from the geographical detector analysis suggest positive correlations between interpretations of slope and ground roughness with snow avalanche stability across varying resolutions. The interactive detection results are both double-factor enhancement and nonlinear enhancement, with the latter being more significant than the former. The combination of slope and other factors is crucial for determining the impact of avalanche stability. This study offers reliable data support for assessing avalanche vulnerability and risks, thereby establishing a solid scientific basis for constructing and operating the Duku expressway.

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    Land and Water Resources
    Distribution pattern and causes of glaciers in the Tibetan Plateau based on terrain gradient
    XU Ning, LI Zhiguo, LIANG Xueyue, ZHOU Xiaoying
    2024, 41 (2):  230-239.  doi: 10.13866/j.azr.2024.02.06
    Abstract ( 53 )   HTML ( 8 )   PDF (8777KB) ( 49 )  

    The formation and development of glaciers depend on a combination of topographic conditions and climatic factors, such as precipitation and temperature. However, the mechanisms underlying glacier distribution and variation remain uncertain. Our study aims to explore the relationship between glacier distribution patterns and topographical factors and uncover the driving forces behind them. To accomplish this, we utilized the Randolph Glacier Inventory version 6 and NASADEM for our analysis. Initially, we derived four key topographical factors based on NASADEM: relief degree of land surface (RDLS), altitude, slope, and aspect. Because the calculation of RDLS has scale dependence, the key is to determine the optimal analysis window using the average change-point analysis approach. The identified optimal analysis window size for RDLS evaluation in the study area was a rectangular neighborhood of 36 × 36 pixels, corresponding to an area of approximately 1.17 km2. Subsequently, we examined glacier distribution patterns across various terrains in the Tibetan Plateau using the distribution index. This index elucidates the disparities between actual and standard glacier distributions across various mountain chains, excluding area disturbances. Finally, we employed the geodetector method to quantitatively assess the spatial interplay between glacier distribution patterns and topographical elements. This innovative statistical approach identifies spatially stratified heterogeneity, pinpoints explanatory factors, and evaluates interactive relationships between variables. The results show that: (1) Glacier distribution in the Tibetan Plateau shows strong selectivity for RDLS and altitude, with wide suitability for aspect and slope. The predominant distribution involves large RDLS and high altitudes. (2) Topography significantly influences glacier development, with varied effects of topographic factors on the spatial distribution of glaciers. Altitude and RDLS emerged as dominant factors controlling the distribution of glaciers, followed by slope and aspect. The interactive detection revealed that the combined effect of altitude and RDLS had a dominant impact on spatially stratified glacier heterogeneity. (3) Among altitude and RDLS gradients, the Himalayas Mountains had the most extensive glacier distribution, followed by the Karakoram Mountains. The other ten mountain ranges demonstrated diverse glacier distributions, though they mostly adhered to a normal pattern. This study will serve as a theoretical reference and provide data support for regional hydrology research. It offers vital guidance for appropriate water resource management in arid lands.

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    Analysis of the hydrogeochemical characteristics of the groundwater system in Dunhuang Crescent Lake
    LI Pingping, GAI Nan, WANG Xiaodan, YANG Juncang
    2024, 41 (2):  240-249.  doi: 10.13866/j.azr.2024.02.07
    Abstract ( 40 )   HTML ( 5 )   PDF (6482KB) ( 42 )  

    This study focuses on the Crescent Spring Area at the western end of the Hexi Corridor. Through sample collection experiments, the research systematically analyzed hydrochemical characteristics, environmental isotopes, and hydrogeochemical processes within the study area. The results indicate that mountain water, originating from atmospheric rainfall and glacial meltwater, is the primary source replenishing the diving pool in the area, with a close causal link between the two. Additionally, the local area is affected by the fault structure or cross-flow and receives lateral replenishment from the deep underground runoff in front of the Qilian Mountains. The evaporation effect of groundwater in the Danghe irrigation area is weak, primarily discharging through artificial mining. Other groundwater burial areas mainly discharge through evaporation and transpiration. The chemical composition of groundwater is influenced by the karst filtration involving carbonate and silicate. Key factors controlling groundwater salinity include the dissolution of rock salt, gypsum, and partite rocks, as well as the precipitation of calcite and dolomite, along with evaporation. Various degrees of mixing occur during the water cycle in the basin. Overall, these research findings provide a scientific basis for the ecological protection and restoration of Crescent Lake.

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    Hydrochemical characteristics and control factors of surface water in the Yigong Lake Basin, Tibet
    SHAO Jie, YANG Xinjie, CHEN Xiqing, TENG Chao, YI Jinjun, DONG Meiling, ZHANG Zechen, CAO Jun, ZHU Ning, XIAO Deng, SUN Siyuan, LYU Fei
    2024, 41 (2):  250-260.  doi: 10.13866/j.azr.2024.02.08
    Abstract ( 34 )   HTML ( 3 )   PDF (6067KB) ( 47 )  

    This study examines the hydrochemical characteristics and controlling factors of surface water in the Yigong Lake Basin, southeast Tibet, through the collection of 26 groups of surface water samples. Linear trend diagrams, Gibbs diagrams, and Piper diagrams of the main ions in the water sample points were drawn. Moreover, correlation analysis, linear trend analysis, mathematical statistics, and ion ratio were used to analyze the surface water’s main ion characteristics and controlling factors in the study area, unveiling its material sources. The results show that the predominant cations in the Yigong Lake Basin surface area were Ca2+ and Mg2+, while K+ and Na+ levels were relatively low. The hierarchy of cation content was Ca2+ > Mg2+ > Na+ > K+. Among anions, H C O 3 - , S O 4 2 - ,and Cl- dominated, with relatively low levels of N O 3 - and F-. The hierarchy of anion content was H C O 3 -> S O 4 2 ->Cl- > N O 3 ->F-, and the concentration value of H2SiO3 maintained a steady fluctuation around 6.9 mg·L-1. The pH value consistently ranged between 7.84 and 8.37, indicating weak alkalinity. The three main ions in the surface water of the Yigong Lake Basin were Ca2+, Mg2+, and H C O 3 -, and the hydrochemical types were mainly HCO3-Ca·Mg or HCO3-Ca. Rock leaching was the primary controlling factor, with minimal influence from cation-alternating adsorption, evaporation, or human activities on water concentration.

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    Changes in soil moisture and dryness and their response to climate change in the Guanzhong region
    YANG Yaqing, ZHANG Chong, ZHANG Jie, WANG Yudan
    2024, 41 (2):  261-271.  doi: 10.13866/j.azr.2024.02.09
    Abstract ( 47 )   HTML ( 9 )   PDF (21404KB) ( 62 )  

    The Guanzhong region serves as the main agricultural production base in Shaanxi Province. However, frequent droughts severely impede socioeconomic development in the area. Soil moisture, a vital drought indicator, can offer valuable insights into understanding drought laws and formulating policies to address them by studying the response of soil moisture to climate factors. Within the Guanzhong region, long-term MODIS-NDVI and MODIS-LST series data from 2001 to 2020 were used to establish the characteristic spatial distribution of surface soil moisture and dryness (TVDI). The linear trend method, correlation analysis, sensitivity analysis, and other mathematical statistical methods were used to scrutinize the spatial distribution patterns of soil moisture and dryness in response to climate conditions. Key results are as follows: (1) TVDI can accurately reflect soil moisture status in the Guanzhong region, revealing a trend of both soil drying and wetting over the past two decades, with spring being the driest, followed by winter. (2) There is significant spatial heterogeneity in soil moisture distribution and dryness, with an overall trend of increasing drought from the southwest to the northeast. (3) Soil moisture exhibits correlations with precipitation and temperature: it is positively correlated with precipitation (as precipitation increases, soil moisture increases) and negatively correlated with temperature (as temperature increases, soil moisture decreases). (4) Precipitation has a high sensitivity to soil moisture and dryness, while temperature significantly impacts the degree of changes in soil moisture and dryness. Precipitation determines the direction in which soil moisture values increase or decrease, whereas temperature determines the degree of increase or decrease. Soil dryness and wetness act as comprehensive indicators, influenced by both precipitation and temperature. Precipitation predominantly determines the trend of value increase or decrease, while temperature determines the magnitude of the increase or decrease. Hence, when studying the impacts of temperature and precipitation, precipitation emerges as the main factor controlling soil moisture and dryness trends, while temperature regulates the extent of these changes.

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    Plant Ecology
    Effects of soil microbial films on the photosynthesis and fluorescence characteristics of psammophyte seedlings
    WU Weiting, WANG Yu, GAO Guanglei, ZHANG Ying, DING Guodong, CAO Hongyu
    2024, 41 (2):  272-283.  doi: 10.13866/j.azr.2024.02.10
    Abstract ( 52 )   HTML ( 7 )   PDF (12058KB) ( 36 )  

    This study investigated the impact of soil microbial film sand fixation on the photosynthetic and fluorescence characteristics of seedlings from two psammophyte species, Ammopiptanthus mongolicus and Astragalus laxmannii. A pot experiment was conducted utilizing different application methods (spray, mix) and application amounts (0, 1, 3, 5, 7, and 10 g·kg-1). After soil microbial biofilm formation, the characteristics of plant gas exchange and chlorophyll fluorescence were analyzed. The results showed that: (1) An application of bacteria exceeding 3 g·kg-1 notably increased the hardness and thickness of the consolidated layer, alongside higher soil urease and sucrase activities compared to the control group (P < 0.05). (2) The net photosynthetic rate of Astragalus laxmannii in 3-7 g·kg-1 treatment was significantly higher than that of the control (P < 0.05). Additionally, its transpiration rate, net photosynthetic rate, and intercellular CO2 concentration surpassed those of Ammopiptanthus mongolicus (P < 0.05). (3) Astragalus laxmannii treated with over 5 g·kg-1 displayed significantly higher Fv/Fm values compared to the control group (P < 0.05). Except for the 3 g·kg-1 treatment, Ammopiptanthus mongolicus exhibited higher Fv/Fm and QP values than Astragalus laxmannii. (4) Soil properties, photosynthetic gas exchange, and chlorophyll fluorescence were partially mediated models. Changes in soil characteristics can directly affect the chlorophyll fluorescence characteristics of Ammopiptanthus mongolicus and Astragalus laxmannii. The soil microbial film increased consolidation layer hardness and thickness by 3.84% and 152.85%, respectively, and enhanced catalase, urease, and sucrase activities by 93.37%, 170.68%, and 256.03%, respectively. This improvement in soil quality and leaf stomatal conductance enhanced photosynthetic efficiency and capacity in both plants. The net photosynthetic rate and Fv/Fm increased by 28.48% and 0.84%, respectively.

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    Biomass estimation models for two dominant desert shrubs on the northern slopes of Kunlun Mountain
    ZHANG Yuanmei, SUN Guili, LU Yan, LI Li, ZHANG Zhihao, ZHANG Dongdong
    2024, 41 (2):  284-292.  doi: 10.13866/j.azr.2024.02.11
    Abstract ( 56 )   HTML ( 14 )   PDF (3173KB) ( 34 )  

    Mathematical modeling is an important method for estimating shrub biomass. In this study, two desert shrubs, Reaumuria soongarica and Sympegma regelii, commonly found in the Piedmont belt of the northern slopes of the mid-Kunlun Mountains, were observed. The whole-plant harvesting method was employed, and plant height (H), canopy area (S), and plant volume (V) were used as independent variables. Plant above-ground biomass (W1), below-ground biomass (W2), and whole-plant biomass (W3) were used as dependent variables to establish the function model. The selection of optimal biomass estimation models for these two desert shrubs was based on the largest determination coefficient (R2), smallest estimated standard deviation (SEE), and significance level (P < 0.001). The results indicated that quadratic function models were optimal for estimating biomass in both R. soongarica and S. regelii, except for the whole-plant optimal prediction model of S. regelii, which followed a linear function. For R. soongarica, the highest correlation was observed between plant volume (V) and biomass, with R2 ranging from 0.820 to 0.920. For S. regelii, the highest correlation was between canopy area (S) and biomass, with R2 ranging from 0.935 to 0.973. All optimal models for biomass estimation in R. soongarica and S. regelii passed the significance test (P<0.001), with fit rates ranging from 84.1% to 95.6%. These models were deemed reliable for biomass estimation. The outcomes of this study can offer valuable insights for studying carbon stocks and evaluating carbon sink potential in desert ecosystems.

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    Effects of bare versus sand burial on the decomposition and nutrient release of apophyges in extremely arid zones
    YUAN Ping, HAN Huan, ZHAO Hongmei, LI Congjuan
    2024, 41 (2):  293-300.  doi: 10.13866/j.azr.2024.02.12
    Abstract ( 54 )   HTML ( 6 )   PDF (2297KB) ( 65 )  

    In nutrient-limited environments, apoplastic decomposition is a critical biogeochemical process for carbon (C) and nutrient cycling. Apoplastic decomposition and nutrient release processes are particularly important in arid and extremely arid regions, where deserts and dryads are the dominant ecosystem types. These processes play a crucial role in stabilizing soil, improving texture, and replenishing soil fertility due to the dearth of nutrients and organic matter in the soil. Plant nutrient uptake efficiency in such soil primarily relies on the decomposition of apoplastic material. In extremely arid desert regions like the Taklamakan Desert, apoplastic burial by quicksand is common, yet the complexities and characteristics of apoplastic decomposition under sand burial remain relatively unknown. To characterize the decomposition and nutrient dynamics of apomictic material in desert highway shelterbelt forest strips, we studied assimilated Haloxylon ammodendron and Calligonum arborescens assimilated branches, along with Tamarix ramosissima leaves, under surface exposure and sand burial treatments 510 days. Additionally, decomposition tests were conducted using the apoplast net bag method. The results showed that: (1) There were significant differences in mass loss between exposed and sand-buried treatments for the three plant species, with higher mass loss of apomictic material under sand burial. By the end of the decomposition test, the weight loss rates of Haloxylon ammodendron, Calligonum arborescens, and Tamarix ramosissima under the exposed treatment were 7%, 6.8%, and 18.1%, respectively, and those of pike, arborvitae, and multi-branched tamarisk under the sand-buried treatment were 23.7%, 9.7%, and 21.9%, respectively. (2) During the decomposition process, changes in apoplastic C, N, and P contents under the two treatments were inconsistent. The N and P contents of Haloxylon ammodendron and Calligonum arborescens assimilated branches showed a net enrichment, while the C content demonstrated net release. Similarly, the N and P contents of leaves of multi-branched Tamarix ramosissima displayed net enrichment and net release, respectively, while the C content had an enriched-released state. (3) Olson’s exponential decay model was employed to analyze the decomposition process and fit the mass residual rate of the apoplastic material. The decomposition coefficients’ k values for the apoplastic material of the three plants were ranked as follows: sand-buried treatment > bare treatment; (4) An analysis of the k values of the apoplastic material and the related factors showed that the initial N, P, C:N, and C:P contents of the apoplastic material had a significant effect on the rate of decomposition (P < 0.01). These results indicate that sand burial significantly influences the decomposition process of apomictic litter in desert highway protection forests within extremely arid zones.

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    Ecology and Environment
    Ecological health assessment of the alpine wetland landscape in the Heihe River source area based on vigor, organization, and resilience
    SUN Weijie, QIAO Bin, YU Hongyan, ZHAO Tong, CHEN Qi
    2024, 41 (2):  301-313.  doi: 10.13866/j.azr.2024.02.13
    Abstract ( 29 )   HTML ( 8 )   PDF (13151KB) ( 32 )  

    The Heihe River source area National Wetland Park, representing a typical alpine wetland, is key for measuring the current and future development of such ecosystems. This study uses land use data to introduce the landscape ecology vulnerability index and establish a comprehensive assessment system of the alpine wetland ecological health based on four aspects: ecosystem vitality, organization, resilience, and ecosystem service value. It quantitatively assesses the spatiotemporal change characteristics of ecological health in the Heihe River source area from 2014 to 2021. The findings reveal that (1) grassland in the Heihe River source area is the main land use type, with high, medium, and low coverage grasslands distributed in a mosaic pattern. The second type is unused land, mainly distributed on both banks of the river and in the northwest; (2) the Heihe River source area consists of both low- and low-vulnerability areas, resulting in an overall low landscape ecology vulnerability; and (3) the Heihe River source area is predominantly rated as healthy and moderately healthy, indicating a relatively high overall ecological environment health level. Throughout 2014 to 2021, the ecosystem of the Heihe River source area was relatively healthy. In the future, the Heihe River source area should prioritize ecological functions, balancing animal husbandry production and ensure the ecosystem’s healthy progression toward achieving “ecological harmony.”

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    Analysis of spatial and temporal changes in habitat quality and driving factors in Gonghe County using the InVEST model
    YAN Li, CAO Guangchao, KANG Ligang, LIU Menglin, YE Deli
    2024, 41 (2):  314-325.  doi: 10.13866/j.azr.2024.02.14
    Abstract ( 61 )   HTML ( 28 )   PDF (21573KB) ( 34 )  

    In the context of Gonghe County’s role as a pivotal node in Lanxi urban agglomeration and its position as a representative desert area within the new urbanized framework, maintaining a delicate balance between economic and ecologic development is crucial. This balance holds great significance for China in advancing the new development paradigm and implementing the Sustainable Development Agenda’s Innovation Demonstration Zone in Hainan Prefecture. Based on the land use data of 2000, 2010, and 2020, this study utilizes the InVEST model to explore spatial and temporal distribution and habitat quality dynamics in Republican County from 2000 to 2020. Additionally, it investigates influencing factors and their effects on habitat quality using geographic probes and GWR methods. Key results are as follows: (1) Overall habitat quality in Republican County showed an upward trend from 2000 to 2020, with mean values of 0.612, 0.626, and 0.627, respectively. Regional disparities in the spatial distribution of habitat quality were evident, portraying a high-to-low spatial pattern from north to south. (2) Mean annual temperature (TEM) and normalized vegetation index (NDVI) were the main driving factors impacting habitat quality in Gonghe County. The interaction between these factors had a greater influence on spatial differentiation than a single factor, with TEM interacting strongly with Shannon’s evenness index (SHEI) and Shannon’s diversity index (SHDI). (3) The GWR model quantified different driving characteristics and strengths of each driver on habitat quality at the spatial level. TEM exhibited a negative impact on habitat quality, primarily concentrated in the republic’s northern and eastern areas. Gross domestic product (GDP) positively influenced habitat quality, showing a 30% increase compared to 2000, while the photovoltaic system at Tala Shoal promoted synergistic eco-industry development in Gonghe County. This study’s findings offer a scientific basis for decision-making processes aimed at promoting local economic construction and ecological protection in arid areas.

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    Agricultural Ecology
    Effects of biochar application on soil hydrothermal salinity and cotton growth in brackish water drip irrigation cotton field
    LAI Hongyu, LYU Desheng, ZHU Yan, WANG Zhenhua, WEN Yue, SONG Libing, QI Hao
    2024, 41 (2):  326-338.  doi: 10.13866/j.azr.2024.02.15
    Abstract ( 52 )   HTML ( 8 )   PDF (11374KB) ( 25 )  

    To address the challenges of fresh water shortage and soil quality decline in northern Xinjiang, a field experiment was conducted, investigating the effects of different irrigation water salinity levels and biochar application on the soil hydrothermal conditions, soil salinity, and cotton growth in cotton fields. Four biochar application levels (B0: 0 t·hm-2, B1: 20 t·hm-2, B2: 40 t·hm-2, B3: 60 t·hm-2) and three irrigation water salinity levels (S1: 1 g·L-1, S2: 3 g·L-1, S3: 5 g·L-1) were established. A two-factor completely randomized combination test was used to analyze the effects of these treatments on soil water and salt temperature distribution, cotton growth index, dry matter accumulation, yield, and water use efficiency. The findings indicated that increased biochar and irrigation water salinity levels raised soil water and salt content. Higher biochar application increased the average soil temperature, while irrigation water salinity notably influenced the average soil temperature (P < 0.01). B2S2 treatment increased the cotton plant height, leaf area index, and aboveground dry matter. Optimal yield and water use efficiency occurred in the B2S2 treatment. In contrast, the B0S3 treatment displayed the lowest values, 18.50% and 26.87% lower in yield and water use efficiency, respectively, compared to the B2S2 treatment. A multiple regression equation, combined with normalization and spatial analysis, was established. The optimal biochar amount and irrigation water salinity range based on cotton yield and water use efficiency were 26-46 t·hm-2 and 2.45-3.04 g·L-1, respectively.

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    Spatial and temporal characteristics of crop water footprint and influencing factors in Guanzhong region at the county scale
    NIE Hanlin, FAN Liangxin, GUO Jin, ZHANG Mengke, WANG Zhijun
    2024, 41 (2):  339-352.  doi: 10.13866/j.azr.2024.02.16
    Abstract ( 66 )   HTML ( 15 )   PDF (17220KB) ( 88 )  

    Exploring the regional crop water footprint and its spatial and temporal distribution patterns and driving factors can help optimize agricultural production layouts, improve agricultural production and water use efficiency, and achieve sustainable agricultural development. This study quantified and analyzed the water footprint of major crops in 54 counties and districts in the Guanzhong region from 2000 to 2020. Pathway analysis was used to explore the driving factors influencing temporal and spatial changes in crop water footprint. Key findings revealed that: (1) The total water footprint of crops in the Guanzhong region decreased from 2.232 × 108 m3 in 2000 to 2.003 × 108 m3 in 2020. Blue water use was the most dominant, followed by gray water use, with green water use being the lowest, accounting for 37.261%, 36.254%, and 26.485%, respectively. (2) Significant spatial variations existed in the total crop water footprint, showing a high eastern and low western profile. Regions with similar crop water footprints (high-high or low-low) demonstrated an agglomeration distribution. (3) The crops’ green water footprint was primarily influenced by yield per unit area, while the blue water footprint was mainly affected by average wind speed, followed by pesticide use and relative humidity. Additionally, fertilizer application had the greatest impact on the gray water footprint. This finding suggests that agricultural input factors significantly outweigh meteorological factors in influencing the crop water footprint. Consequently, production level and agricultural inputs were primarily responsible for regional water footprint variability. Potential strategies for regulating crop water footprint include: (1) implementing reasonable allocation of precipitation to improve green water utilization to achieve optimal allocation and use of water resources; (2) enhancing irrigation practices by improving irrigation facilities, increasing irrigation efficiency, and reducing irrigation water resource consumption, particularly as irrigation is a significant contributor to the blue water footprint in agricultural water consumption; (3) reducing fertilizer application and pesticide use while ensuring crop yield to minimize water consumption caused by water environment pollution, thereby controlling agricultural water consumption and alleviating pressure on water resources. These study results are beneficial for conserving water resources and improving water use efficiency in the Guanzhong region. They provide crucial support for facilitating sustainable agricultural water management practices.

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