Estimation of net primary productivity and its driving factors in the Ili River Valley,China

Net primary productivity(NPP), as an important variable and ecological indicator in grassland ecosystems, can reflect environmental change and the carbon budget level. The Ili River Valley is a wetland nestled in the hinterland of the Eurasian continent, which responds sensitively to the global climate change. Understanding carbon budget and their responses to climate change in the ecosystem of Ili River Valley has a significant effect on the adaptability of future climate change and sustainable development. In this study, we calculated the NPP and analyzed its spatio-temporal pattern of the Ili River Valley during the period 2000–2014 using the normalized difference vegetation index(NDVI) and an improved Carnegie-Ames-Stanford(CASA) model. Results indicate that validation showed a good performance of CASA over the study region, with an overall coefficient of determination(R2) of 0.65 and root mean square error(RMSE) of 20.86 g C/(m~2·a). Temporally, annual NPP of the Ili River Valley was 599.19 g C/(m~2·a) and showed a decreasing trend from 2000 to 2014, with an annual decrease rate of –3.51 g C/(m~2·a). However, the spatial variation was not consistent, in which 55.69% of the areas showed a decreasing tendency, 12.60% of the areas remained relatively stable and 31.71% appeared an increasing tendency. In addition, the decreasing trends in NPP were not continuous throughout the 15-year period, which was likely being caused by a shift in climate conditions. Precipitation was found to be the dominant climatic factor that controlled the inter-annual variability in NPP. Furthermore, the correlations between NPP and climate factors differed along the vertical zonal. In the medium-high altitudes of the Ili River Valley, the NPP was positively correlated to precipitation and negatively correlated to temperature and net radiation. In the low-altitude valley and high-altitude mountain areas, the NPP showed a negative correlation with precipitation and a weakly positive correlation with temperature and net radiation. The results suggested that the vegetation of the Ili River Valley degraded in recent years, and there was a more complex mechanism of local hydrothermal redistribution that controlled the growth of vegetation in this valley ecosystem.     

Effects of grazing on net primary productivity,evapotranspiration and water use efficiency in the grasslands of Xinjiang,China

Grazing is a main human activity in the grasslands of Xinjiang, China. It is vital to identify the effects of grazing on the sustainable utilization of local grasslands. However, the effects of grazing on net primary productivity(NPP), evapotranspiration(ET) and water use efficiency(WUE) in this region remain unclear. Using the spatial Biome-BGC grazing model, we explored the effects of grazing on NPP, ET and WUE across the different regions and grassland types in Xinjiang during 1979–2012. NPP, ET and WUE under the grazed scenario were generally lower than those under the ungrazed scenario, and the differences showed increasing trends over time. The decreases in NPP, ET and WUE varied significantly among the regions and grassland types. NPP decreased as follows: among the regions, Northern Xinjiang(16.60 g C/(m~2·a)), Tianshan Mountains(15.94 g C/(m~2·a)) and Southern Xinjiang(-3.54 g C/(m~2·a)); and among the grassland types, typical grasslands(25.70 g C/(m~2·a)), swamp meadows(25.26 g C/(m~2·a)), mid-mountain meadows(23.39 g C/(m~2·a)), alpine meadows(6.33 g C/(m~2·a)), desert grasslands(5.82 g C/(m~2·a)) and saline meadows(2.90 g C/(m~2·a)). ET decreased as follows: among the regions, Tianshan Mountains(28.95 mm/a), Northern Xinjiang(8.11 mm/a) and Southern Xinjiang(7.57 mm/a); and among the grassland types, mid-mountain meadows(29.30 mm/a), swamp meadows(25.07 mm/a), typical grasslands(24.56 mm/a), alpine meadows(20.69 mm/a), desert grasslands(11.06 mm/a) and saline meadows(3.44 mm/a). WUE decreased as follows: among the regions, Northern Xinjiang(0.053 g C/kg H_2O), Tianshan Mountains(0.034 g C/kg H_2O) and Southern Xinjiang(0.012 g C/kg H_2O); and among the grassland types, typical grasslands(0.0609 g C/kg H_2O), swamp meadows(0.0548 g C/kg H_2O), mid-mountain meadows(0.0501 g C/kg H_2O), desert grasslands(0.0172 g C/kg H_2O), alpine meadows(0.0121 g C/kg H_2O) and saline meadows(0.0067 g C/kg H_2O). In general, the decreases in NPP and WUE were more significant in the regions with relatively high levels of vegetation growth because of the high grazing intensity in these regions. The decreases in ET were significant in mountainous areas due to the terrain and high grazing intensity.     

Temporal and spatial variations of net primary productivity and its response to groundwater of a typical oasis in the Tarim Basin,China

Net primary productivity (NPP) of the vegetation in an oasis can reflect the productivity capacity of a plant community under natural environmental conditions. Owing to the extreme arid climate conditions and scarce precipitation in the arid oasis regions, groundwater plays a key role in restricting the development of the vegetation. The Qira Oasis is located on the southern margin of the Taklimakan Desert (Tarim Basin, China) that is one of the most vulnerable regions regarding vegetation growth and water scarcity in the world. Based on remote sensing images of the Qira Oasis and daily meteorological data measured by the ground stations during the period 2006-2019, this study analyzed the temporal and spatial patterns of NPP in the oasis as well as its relation with the variation of groundwater depth using a modified Carnegie Ames Stanford Approach (CASA) model. At the spatial scale, NPP of the vegetation decreased from the interior of the Qira Oasis to the margin; at the temporal scale, NPP of the vegetation in the oasis fluctuated significantly (ranging from 29.80 to 50.07 g C/(m²•month)) but generally showed an increasing trend, with the average increase rate of 0.07 g C/(m²•month). The regions with decreasing NPP occupied 64% of the total area of the oasis. During the study period, NPP of both farmland and grassland showed an increasing trend, while that of forest showed a decreasing trend. The depth of groundwater was deep in the south of the oasis and shallow in the north, showing a gradual increasing trend from south to north. Groundwater, as one of the key factors in the surface change and evolution of the arid oasis, determines the succession direction of the vegetation in the Qira Oasis. With the increase of groundwater depth, grassland coverage and vegetation NPP decreased. During the period 2008-2015, with the recovery of groundwater level, NPP values of all types of vegetation with different coverages increased. This study will provide a scientific basis for the rational utilization and sustainable management of groundwater resources in the oasis.     

我国荒漠植被生产力动态及其与水热因子的关系

为了探讨近30 a来我国干旱区荒漠植被的净初级生产力(NPP)及其与水热因子相关性随时间的变化，运用CASA(Carnegie Ames Stanford approach)模型估算我国荒漠植被1982—2015年生长季的NPP，并运用线性回归和GIS空间分析方法分析了NPP的时空变化特征，利用滑动相关系数分析了荒漠植被NPP与水热因子的关系。结果表明：① 单位面积NPP均值为42 g·m^-2·a^-1，NPP整体水平较低。空间上呈西北部、东部边缘较高，中部、南部和中东部较低的分布特征。② 荒漠植被NPP年均总量为5.783×1013g·a^-1。从荒漠植被NPP的年际变化来看，1982—2015年中国荒漠植被NPP总量以1.64×1012g·(10a)^-1的线性速率（P=0.054）上升，荒漠植被生长状况总体上不断改善，但总量趋势呈现阶段性变化，1982—1993年荒漠植被NPP总量呈极显著增长态势（1.25×1012 g·a^-1，P<0.01）； 1993—2006年NPP总量呈极显著降低态势（-6.42×1011 g·a^-1，P<0.01）； 2006—2015年NPP总量缓慢增长（1.70×1011 g·a^-1，P>0.05）。从空间变化来看，47.65%的荒漠植被NPP呈增加态势，主要分布在阿拉善高原、天山北麓、塔里木盆地西部边缘、柴达木盆地的东南边缘、阿尔金山南麓和昆仑山脉。③ 从荒漠植被NPP与各气候因子之间的相关关系随时间的变化来看，NPP与气温的滑动相关系数随时间的变化保持为负相关，与降水、干燥度的滑动相关系数保持为正相关，与太阳总辐射的滑动相关系数随时间变化并未表现出显著的变化趋势。总体上，荒漠植被与水热因子的相关关系在研究时段均有进一步减弱的态势，即荒漠植被NPP对气候因子的变化愈来愈不敏感。     

Estimation of spatial and temporal changes in net primary production based on Carnegie Ames Stanford Approach (CASA) model in semi-arid rangelands of SemiromCounty,Iran

Net primary production (NPP) is an indicator of rangeland ecosystem function. This research assessed the potential of the Carnegie Ames Stanford Approach (CASA) model for estimating NPP and its spatial and temporal changes in semi-arid rangelands of Semirom County, Iran. Using CASA model, we estimated the NPP values based on monthly climate data and the normalized difference vegetation index (NDVI) obtained from the MODIS sensor. Regression analysis was then applied to compare the estimated production data with observed production data. The spatial and temporal changes in NPP and light utilization efficiency (LUE) were investigated in different rangeland vegetation types. The standardized precipitation index (SPI) was also calculated at different time scales and the correlation of SPI with NPP changes was determined. The results indicated that the estimated NPP values varied from 0.00 to 74.48 g C/(m²?a). The observed and estimated NPP values had different correlations, depending on rangeland conditions and vegetation types. The highest and lowest correlations were respectively observed in Astragalus spp.-Agropyronspp. rangeland (R²=0.75) with good condition and Gundeliaspp.-Cousiniaspp. rangeland (R²=0.36) with poor and very poor conditions. The maximum and minimum LUE values were found in Astragalus spp.-Agropyronspp. rangeland (0.117 g C/MJ) with good condition and annual grasses-annual forbs rangeland (0.010 g C/MJ), respectively. According to the correlations between SPI and NPP changes, the effects of drought periods on NPP depended on vegetation types and rangeland conditions. Annual plants had the highest drought sensitivity while shrubs exhibited the lowest drought sensitivity. The positive effects of wet periods on NPP were less evident in degraded areas where the destructive effects of drought were more prominent. Therefore, determining vegetation types and rangeland conditions is essential in NPP estimation. The findings of this study confirmed the potential of the CASA for estimating rangeland production. Therefore, the model output maps can be used to evaluate, monitor and optimize rangeland management in semi-arid rangelands of Iran where MODIS NPP products are not available.     

基于WEAP的塔里木河干流灌溉满足度模拟

根据《塔里木河流域近期综合治理规划》规定的水权分配方案,以保障干流天然植物正常生长所需水分和塔里木河下游不断流为前提,模拟计算了塔里木河干流现状灌溉需水的满足度。首先,采用定额法估算塔里木河干流天然植被需水量,选用90%保障率最枯月平均流量法,估算塔里木河干流最小河道内生态需水量,得出塔里木河干流不同保障率的水资源可利用量;其次,建立了塔里木河干流水资源评价和规划模型（WEAP）,估算了各灌区基准年的需水量;最后,模拟计算了不同保障率下各灌区逐月的需水满足度。结果表明：随着来水保障率的提高,除了塔里木河下游灌区需水得到满足外,其他各灌区各月需水满足度出现不同程度的下降,生产用水与生态用水矛盾逐渐突出。在平水年、枯水年和特枯水年,灌溉总缺水量分别为0.43×10⁸ m³、1.29×10⁸ m³和2.44×10⁸ m³,缺水最严重的月份主要集中在3月、11月,其次为4月和5月,缺水量最大的为塔里木河中游灌区。     

21世纪开都-孔雀河流域未来气候变化情景预估

利用Downscaled CMIP3 and CMIP5 Climate and Hydrology Projections (DCHP)提供的31个 CMIP5降尺度数据和CRU逐月气温、降水格点数据集，通过评估PLS(偏最小二乘回归)、RR（岭回归）和EE（等权平均）3种多模式集合平均预估模型对历史气候变化的模拟能力，确定最优集合方法，进而预估开都-孔雀河流域21世纪气候变化情景。结果表明：① 所建立的PLS模型对流域的气温和降水具有较好的模拟能力，尤其对气温的模拟， r值均达到了0.64以上，明显优于降水（0.19~0.36），但存在空间异质性；② 21世纪开都-孔雀河流域各子区气温呈显著增加趋势，且RCP8.5情景下的增温速率〔0.58~0.67 ℃·（10a）-1〕是RCP4.5情景下〔0.25~0.31 ℃·（10a）-1〕的2倍以上，21世纪中叶是2种情景产生明显差异的开始。整个流域增温速率由西北山区向东南荒漠区逐渐增大；③ 未来降水在不同排放情景下变化速率的分布状况略有不同，但均呈显著增加趋势，且RCP8.5情景下的增加速率〔1.22%~1.54%·（10a）-1〕总体上高于RCP4.5〔0.80%~1.32%·（10a）-1〕。     

基于MODIS/NDVI的塔里木河流域植被覆盖变化驱动因素相对作用分析

塔里木河流域是我国生态较为脆弱的地区,过去几十年不合理的开发,导致植被覆盖遭到严重破坏。2001年以后,随着"塔里木河流域近期综合治理项目"等系列生态工程的实施,流域环境得到初步改善,植被覆盖日益好转。利用2001—2013年逐旬MODIS/NDVI数据和气象数据,通过分离气候变化对塔里木河流域植被覆盖的影响,对气候变化和人类活动对植被覆盖变化的相对作用进行定量分析。研究表明:(1)2001—2013年塔里木河流域植被覆盖总体呈增长趋势;植被覆盖呈改善趋势的区域占流域总面积的28.02%,呈退化趋势的区域占10.99%,其他区域则基本不变。(2)采用相关分析与残差法分析了气候变化和人类活动对植被覆盖变化的影响,结果表明植被覆盖变化与气候因子显著相关;人类活动对植被覆盖变化起积极作用的面积占流域总面积的61.8%,起消极作用的占38.2%。(3)通过对植被覆盖变化驱动因素进行相对作用分析,可以得出在植被改善区和植被退化区,人类活动的作用相对于气候因素更大,是植被覆盖变化的主要驱动因素。     

Land use/land cover change responses to ecological water conveyance in the lower reaches of Tarim River,China

The Tarim River is the longest inland river in China and is considered as an important river to protect the oasis economy and environment of the Tarim Basin. However, excessive exploitation and over-utilization of natural resources, particularly water resources, have triggered a series of ecological and environmental problems, such as the reduction in the volume of water in the main river, deterioration of water quality, drying up of downstream rivers, degradation of vegetation, and land desertification. In this study, the land use/land cover change (LUCC) responses to ecological water conveyance in the lower reaches of the Tarim River were investigated using ENVI (Environment for Visualizing Images) and GIS (Geographic Information System) data analysis software for the period of 1990-2018. Multi-temporal remote sensing images and ecological water conveyance data from 1990 to 2018 were used. The results indicate that LUCC covered an area of 2644.34 km² during this period, accounting for 15.79% of the total study area. From 1990 to 2018, wetland, farmland, forestland, and artificial surfaces increased by 533.42 km² (216.77%), 446.68 km² (123.66%), 284.55 km² (5.67%), and 57.51 km² (217.96%), respectively, whereas areas covered by grassland and other land use/land cover types, such as Gobi, bare soil, and deserts, decreased by 103.34 km² (14.31%) and 1218.83 km² (11.75%), respectively. Vegetation area decreased first and then increased, with the order of 2010<2000<1990<2018. LUCC in the overflow and stagnant areas in the lower reaches of the Tarim River was mainly characterized by fragmentation, irregularity, and complexity. By analyzing the LUCC responses to 19 rounds of ecological water conveyance in the lower reaches of the Tarim River from 2000 to the end of 2018, we proposed guidelines for the rational development and utilization of water and soil resources and formulation of strategies for the sustainable development of the lower reaches of the Tarim River. This study provides scientific guidance for optimal scheduling of water resources in the region.     

准噶尔盆地地表反照率时空变化特征及其影响因素分析

地表反照率变化影响地表辐射收支与能量平衡,从而对区域和全球气候产生影响。以准噶尔盆地为研究对象,利用MODIS卫星遥感数据产品MOD09A1反演地表短波反照率,结合气象数据和植被指数分析准噶尔盆地2001—2018年荒漠草地地表反照率时空变化特征及其影响因素。结果表明:准噶尔盆地地表反照率空间分布地域差异明显,地表反照率年均值为0.303,整体呈东北高、西南低的特点;其年际变化速率呈减少趋势,平均每年为1.4×10^-4,减少面积约占总面积的52.8%;四季空间分布变化明显,春、夏、秋三季空间分布相似,冬季值最高(0.551),夏季最低(0.203)。准噶尔盆地东北缘的阿尔泰山地表反照率年内变化较为剧烈;生长季归一化植被指数(NDVI)值大小为:夏季>秋季>春季。准噶尔盆地整体地表反照率与NDVI呈负相关,大部分区域与平均气温呈负相关,与降水呈正相关,且相关性大小依次为气温>NDVI>降水。MODIS反演结果与地面实测值之间存在显著的相关性(R²=0.8908,P<0.01),均方根误差为0.014。为了解准噶尔盆地陆面特征,客观评价全球气候变化下干旱区陆面变化及其正负反馈响应机制提供一定的理论依据。     

1982—2015年中国北方生长季NDVI变化及其对气温极值的响应

基于GIMMS NDVI 3g v1.0数据集和日值气象数据，结合极端气温指数，辅以极点对称模态分解、趋势分析、Mann-Kendall趋势检验、相关分析等方法，探讨中国北方生长季植被覆盖及极端气温的变化特征，研究植被覆盖对气温极值的响应状况。结果表明：① 1982—2015年中国北方生长季NDVI以0.002·（10a）^-1的速率上升（P<0.05），ESMD（极点对称模态分解方法）显示生长季NDVI波动上升；针叶林、灌丛、荒漠植被、草地以及栽培植被呈增长趋势，栽培植被增速最快，针阔混交林、落叶阔叶林和高山植被呈不显著减少趋势。② 空间上，NDVI显著增加区域超过全区的33%，主要分布在天山、塔里木盆地北部、祁连山、陇南山区、黄土高原、河套平原、吕梁山和太行山、大别山以及辽西丘陵地区；显著下降区域仅占12%，主要分布在大兴安岭、小兴安岭和长白山区。③ 极端气温指数中，除TNmean（日最低气温平均值）和TNn（日最低气温极低值）呈上升趋势外，其余冷极值指数均呈下降趋势；所有暖极值指数均呈上升趋势；其他指数中，DTR（气温日较差）呈减小趋势，GSL（生长季日数）呈增加趋势。④ 中国北方NDVI与极端气温指数的相关性表明，冷极值指数中NDVI与FD0（霜冻日数）、TN10p（冷夜日数）、TX10p（冷昼日数）呈显著负相关（P＜0.05），与TNmean呈显著正相关（P＜0.01）；NDVI与所有暖极值指数呈正相关，与TR20（热夜日数）、TXmean（日最高气温平均值）、TX90p（暖昼日数）以及TN90p（暖夜日数）存在显著相关性（P＜0.05）；NDVI与GSL呈显著正相关（P＜0.05）。⑤ 天山、塔里木盆地北缘、祁连山区、河套平原、黄土高原、太行山和吕梁山区等NDVI显著增加区域对极端气温指数的响应强烈。NDVI显著增加区主要对FD0、TNmean、TN90p、GSL等指数响应较强。NDVI显著减少区域对指数的响应各异，主要与SU25（夏季日数）呈显著负相关（P＜0.05）。     

Climate change and its impacts on mountain glaciers during 1960-2017 in western China

Mountain glaciers are highly sensitive to climate change. In this paper, we systematically analyzed and discussed the responses of glaciers to climate change during 1960-2017 in western China by the methods of least squares and correlation analysis. Results show that the maximum temperature, minimum temperature, average temperature, and precipitation significantly increased in western China at the rates of 0.32°C/10a, 0.48°C/10a, 0.39°C/10a, and 11.20 mm/10a, respectively. However, the wind speed, hours of sunshine, snowfall, and snowy days displayed decreasing trends at the rates of -0.53 m/(s?10a), 3.72 h/10a, -2.90 mm/10a, and -0.10 d/10a, respectively. The annual percentage of glacier area decreased by approximately 0.42%, and the average glacier area decreased by 2.76 km²/a. Meanwhile, glacial shrinkages were greater in the Altay Mountains, Tanggula Mountains, and Qilian Mountains than in the other mountainous regions. Glacier accumulation decreased while melt volume increased at a rate of 2.7×10⁴ m³/a. The area of melt volume was 1.3 times that of the glacier accumulation area. The glacier mass balance (GMB) decreased substantially at a rate of -14.0 mm/a, whereas the equilibrium line altitude (ELA) showed an increasing trend at a rate of 0.5 mm/a. After 1997, the mass was smaller than -500.0 mm, indicating a huge loss in glaciers. Furthermore, relationships between ELA and GMB and various climatic factors were established. Temperature and precipitation demonstrated a significantly negative correlation, whereas wind speed and snowy days had significantly positive correlations with GMB. Snowy days also exhibited a remarkably negative correlation with ELA. The strong warming trend and less snowy days were thought to be the main factors leading to glacial melting, whereas the increase in precipitation, and reductions of sunshine hours and wind speed might slow glacial melting.     

黄河源地区植被净初级生产力对气候变化的响应

基于黄河源区1959—2008年月平均气温、最高气温、最低气温、相对湿度、降水量、风速和日照百分率等气候要素资料,应用修订的Thornthwaite Memorial模型计算了50 a植被净初级生产力(NPP),分析其年际和年代际变化特征及其对气候变化的响应。结果表明:1959—2008年间,研究区年NPP变化呈显著上升趋势,NPP变化曲线线性拟合倾向率在95.502～190.72 kg/(hm2.10a)之间,20世纪90年代后NPP较高。20世纪70年代表现为"冷干型"气候特征,NPP距平百分率偏少1.1%～2.1%;2001—2008年均为"暖湿型"气候特征,NPP距平百分率偏多2.1%～4.5%。影响黄河源区NPP变化的主要气候因子是降水量、最大蒸散量和平均最低气温。"暖湿型"气候对植被净生产力增加最有利,黄河源区NPP可增加5.5%～8.5%。而"冷干型"气候造成植被净生产力下降5%～9%。若2050年在"暖湿型"气候情景下,黄河源区未来NPP较多年平均值增加7%～17%。     

Origin and circulation of saline springs in the Kuqa Basin of the Tarim Basin,Northwest China

It is widely accepted that hydrogeochemistry of saline springs is extremely important to understand the water circulation and evolution of saline basins and to evaluate the potential of potassium-rich evaporites.The Kuqa Basin,located in the northern part of the Tarim Basin in Northwest China,is a saline basin regarded as the most potential potash-seeking area.However,the origin and water circulation processes of saline springs have yet to be fully characterized in this saline basin.In this study,a total of 30 saline spring samples and 11 river water samples were collected from the Qiulitage Structural Belt(QSB)of the Kuqa Basin.They were analyzed for major(K^+,Ca2^+,Na^+,Mg2^+,SO42-,Cl-and HCO3-)and trace(Sr2^+and Br-)ion concentrations,stable H-O-Sr isotopes and tritium concentrations in combination with previously published hydrogeochemical and isotopic(H-O)data in the same area.It is found that the water chemical type of saline springs in the study area belonged to the Na-Cl type,and that of river water belonged to the Ca-Mg-HCO3-SO4 type.The total dissolved solid(TDS)of saline springs in the QSB ranged from 117.77 to 314.92 g/L,reaching the brine level.On the basis of the general chemical compositions and the characteristics of the stable H-O-Sr isotopes of saline springs,we infer that those saline springs mainly originated from precipitation following river water recharging.In addition,we found that saline springs were not formed by evapo-concentration because it is unlikely that the high chloride concentration of saline springs resulted in evapo-concentration and high salinity.Therefore,we conclude that saline spring water may have experienced intense evapo-concentration before dissolving the salty minerals or after returning to the surface.The results show that the origin of salinity was mainly dominated by dissolving salty minerals due to the river water and/or precipitation that passed through the halite-rich stratum.Moreover,there are two possible origins of saline springs in the QSB:one is the infiltration of the meteoric water(river water),which then circulates deep into the earth,wherein it dissolves salty minerals,travels along the fault and returns to the surface;another is the mixture of formation water,or the mixture of seawater or marine evaporate sources and its subsequent discharge to the surface under fault conditions.Our findings provide new insight into the possible saltwater circulation and evolution of saline basins in the Tarim Basin.     

Quantitative distinction of the relative actions of climate change and human activities on vegetation evolution in the Yellow River Basin of China during 1981-2019

Under the combined influence of climate change and human activities, vegetation ecosystem has undergone profound changes. It can be seen that there are obvious differences in the evolution patterns and driving mechanisms of vegetation ecosystem in different historical periods. Therefore, it is urgent to identify and reveal the dominant factors and their contribution rates in the vegetation change cycle. Based on the data of climate elements (sunshine hours, precipitation and temperature), human activities (population intensity and GDP intensity) and other natural factors (altitude, slope and aspect), this study explored the spatial and temporal evolution patterns of vegetation NDVI in the Yellow River Basin of China from 1989 to 2019 through a residual method, a trend analysis, and a gravity center model, and quantitatively distinguished the relative actions of climate change and human activities on vegetation evolution based on Geodetector model. The results showed that the spatial distribution of vegetation NDVI in the Yellow River Basin showed a decreasing trend from southeast to northwest. During 1981-2019, the temporal variation of vegetation NDVI showed an overall increasing trend. The gravity centers of average vegetation NDVI during the study period was distributed in Zhenyuan County, Gansu Province, and the center moved northeastwards from 1981 to 2019. During 1981-2000 and 2001-2019, the proportion of vegetation restoration areas promoted by the combined action of climate change and human activities was the largest. During the study period (1981-2019), the dominant factors influencing vegetation NDVI shifted from natural factors to human activities. These results could provide decision support for the protection and restoration of vegetation ecosystem in the Yellow River Basin.     

荒漠河岸生态系统退化与物种多样性恢复研究

通过塔里木河下游生态输水后植物群落及其环境因子的调查,采用聚类分析与多样性指数,分析生态系统退化程度与时空维上物种的恢复速率差异。结果表明:塔里木河下游生态退化可以归为3类,轻度退化、中度退化、重度退化。3种退化类型的地下水埋深依次增大,物种多样性与植被盖度依次减小,沙漠化指数也依次增强。物种多样性差异与环境水分条件有着密切的关系,在地下水埋深小于5 m时,物种恢复速率的发生率达100%,而在地下水埋深大于5 m时,多样性恢复速率达46%。根据退化程度的不同与物种多样性的恢复差异,提出该区域的生态恢复应分阶段进行。     

Modeling grassland net primary productivity and water-use efficiency along an elevational gradient of the Northern Tianshan Mountains

Mountainous ecosystems are considered highly sensitive and vulnerable to natural disasters and climatic changes.Therefore,quantifying the effects of elevation on grassland productivity to understand ecosystem-climate interactions is vital for mountainous ecosystems.Water-use efficiency(WUE)provides a useful index for understanding the metabolism of terrestrial ecosystems as well as for evaluating the degradation of grasslands.This paper explored net primary productivity(NPP)and WUE in grasslands along an elevational gradient ranging from 400 to 3,400 m asl in the northern Tianshan Mountains-southern Junggar Basin(TMJB),Xinjiang of China,using the Biome-BGC model.The results showed that:1)the NPP increased by 0.05 g C/(m2·a)with every increase of 1-m elevation,reached the maximum at the mid-high elevation(1,600 m asl),and then decreased by 0.06 g C/(m2·a)per 1-m increase in elevation;2)the grassland NPP was positively correlated with temperature in alpine meadow(AM,2,700-3,500 m asl),mid-mountain forest meadow(MMFM,1,650-2,700 m asl)and low-mountain dry grassland(LMDG,650-1,650 m asl),while positive correlations were found between NPP and annual precipitation in plain desert grassland(PDG,lower than 650 m asl);3)an increase(from 0.08 to 1.09 g C/(m2·a))in mean NPP for the grassland in TMJB under a real climate change scenario was observed from 1959 to 2009;and 4)remarkable differences in WUE were found among different elevations.In general,WUE increased with decreasing elevation,because water availability is lower at lower elevations;however,at elevations lower than 540 m asl,we did observe a decreasing trend of WUE with decreasing elevation,which may be due to the sharp changes in canopy cover over this gradient.Our research suggests that the NPP simulated by Biome-BGC is consistent with field data,and the modeling provides an opportunity to further evaluate interactions between environmental factors and ecosystem productivity.     

Effects of climate change and land use/cover change on the volume of the Qinghai Lake in China

Qinghai Lake is the largest saline lake in China.The change in the lake volume is an indicator of the variation in water resources and their response to climate change on the Qinghai-Tibetan Plateau(QTP)in China.The present study quantitatively evaluated the effects of climate change and land use/cover change(LUCC)on the lake volume of the Qinghai Lake in China from 1958 to 2018,which is crucial for water resources management in the Qinghai Lake Basin.To explore the effects of climate change and LUCC on the Qinghai Lake volume,we analyzed the lake level observation data and multi-period land use/land cover(LULC)data by using an improved lake volume estimation method and Integrated Valuation of Ecosystem Services and Trade-offs(InVEST)model.Our results showed that the lake level decreased at the rate of 0.08 m/a from 1958 to 2004 and increased at the rate of 0.16 m/a from 2004 to 2018.The lake volume decreased by 105.40×10⁸ m³ from 1958 to 2004,with the rate of 2.24×10⁸ m³/a,whereas it increased by 74.02×10⁸ m³ from 2004 to 2018,with the rate of 4.66×10⁸ m³/a.Further,the climate of the Qinghai Lake Basin changed from warm-dry to warm-humid.From 1958 to 2018,the increase in precipitation and the decrease in evaporation controlled the change of the lake volume,which were the main climatic factors affecting the lake volume change.From 1977 to 2018,the measured water yield showed an"increase-decrease-increase"fluctuation in the Qinghai Lake Basin.The effects of climate change and LUCC on the measured water yield were obviously different.From 1977 to 2018,the contribution rate of LUCC was -0.76% and that of climate change was 100.76%;the corresponding rates were 8.57% and 91.43% from 1977 to 2004,respectively,and -4.25% and 104.25% from 2004 to 2018,respectively.Quantitative analysis of the effects and contribution rates of climate change and LUCC on the Qinghai Lake volume revealed the scientific significance of climate change and LUCC,as well as their individual and combined effects in the Qinghai Lake Basin and on the QTP.This study can contribute to the water resources management and regional sustainable development of the Qinghai Lake Basin.     

东天山哈密榆树沟流域夏季降水的化学特征研究

2013年5-8月按照GB13580.2-92规定的大气降水采样方法,采集了东天山喀尔力克山南坡榆树沟流域32场降水,进行了pH、EC及离子组成的测定,并运用综合描述法、相关性分析、气团来源轨迹、富集因子及端源贡献法探究其来源。结果表明：榆树沟流域夏季降水的pH平均值为6.8,呈弱酸性;电导率在3.79~239 μs·cm^-1,受降水量影响明显;阴阳离子质量浓度的平均值分别是SO₄^2->NO3^->Cl^->F^-和Ca2⁺> NH4⁺>Na⁺>K⁺>Mg²⁺;SO42^-、NO3^-、F^-和NH4⁺主要来自于人类活动;Cl^-基本来自海盐源,受地壳源的影响甚微;Na⁺的来源受海盐源和陆源共同影响;Ca2⁺和K⁺来自于非海盐源的贡献。     

Spatial-temporal variations of ecological vulnerability in the Tarim River Basin,Northwest China

As the largest inland river basin of China, the Tarim River Basin (TRB), known for its various natural resources and fragile environment, has an increased risk of ecological crisis due to the intensive exploitation and utilization of water and land resources. Since the Ecological Water Diversion Project (EWDP), which was implemented in 2001 to save endangered desert vegetation, there has been growing evidence of ecological improvement in local regions, but few studies have performed a comprehensive ecological vulnerability assessment of the whole TRB. This study established an evaluation framework integrating the analytic hierarchy process (AHP) and entropy method to estimate the ecological vulnerability of the TRB covering climatic, ecological, and socioeconomic indicators during 2000-2017. Based on the geographical detector model, the importance of ten driving factors on the spatial-temporal variations of ecological vulnerability was explored. The results showed that the ecosystem of the TRB was fragile, with more than half of the area (57.27%) dominated by very heavy and heavy grades of ecological vulnerability, and 28.40% of the area had potential and light grades of ecological vulnerability. The light grade of ecological vulnerability was distributed in the northern regions (Aksu River and Weigan River catchments) and western regions (Kashgar River and Yarkant River catchments), while the heavy grade was located in the southern regions (Kunlun Mountains and Qarqan River catchments) and the Mainstream catchment. The ecosystems in the western and northern regions were less vulnerable than those in the southern and eastern regions. From 2000 to 2017, the overall improvement in ecological vulnerability in the whole TRB showed that the areas with great ecological improvement increased by 46.11%, while the areas with ecological degradation decreased by 9.64%. The vegetation cover and potential evapotranspiration (PET) were the obvious driving factors, explaining 57.56% and 21.55% of the changes in ecological vulnerability across the TRB, respectively. In terms of ecological vulnerability grade changes, obvious spatial differences were observed in the upper, middle, and lower reaches of the TRB due to the different vegetation and hydrothermal conditions. The alpine source region of the TRB showed obvious ecological improvement due to increased precipitation and temperature, but the alpine meadow of the Kaidu River catchment in the Middle Tianshan Mountains experienced degradation associated with overgrazing and local drought. The improved agricultural management technologies had positive effects on farmland ecological improvement, while the desert vegetation in oasis-desert ecotones showed a decreasing trend as a result of cropland reclamation and intensive drought. The desert riparian vegetation in the lower reaches of the Tarim River was greatly improved due to the implementation of the EWDP, which has been active for tens of years. These results provide comprehensive knowledge about ecological processes and mechanisms in the whole TRB and help to develop environmental restoration measures based on different ecological vulnerability grades in each sub-catchment.