基于Web of Science数据库来源的创伤与肠道菌群相关研究的范围综述

目的 分析创伤与肠道菌群相关研究现状，揭示存在的问题，为未来该领域的研究提供方向。方法 在Web of Science数据库中，以“Wound^*”“Injur^*”“Trauma^*”“Gut microbio^*”“Gut flor^*”“Intestinal microbial population^*”“Intestinal microecology^*”“Enteric microorganism^*”“Gut microecology^*”和“Intestinal microorganism^*”为检索词，检索2001年1月1日至2021年8月30日相关研究文献，对纳入文献进行汇总和分析。结果 纳入47篇SCI文献，其分布呈逐年上升趋势；47篇文献分布在34种期刊，其中Journal of TraumaInjury Infection and Critical Care和PLo...     

神木市生态安全格局构建与生态问题定量诊断

黄河流域生态保护和高质量发展是重大的国家战略,县域生态安全格局构建与生态问题定量诊断是实施生态保护修复的最基本单元。以神木市为研究对象,首先,基于电路理论构建神木市生态安全格局,将识别出的生态夹点、生态障碍点和低质量生态空间作为生态修复关键区域;其次,通过构建生态问题指标体系,在生态修复关键区域内定量化诊断现存生态问题;最后,通过生态问题指数(EPI)测算结果划定生态修复分区。研究表明：(1)神木市生态源地面积为411.64km²,以草地为主,主要分布在中部、东部和南部地区,源间生态廊道共63条,总长度约610.71km,中部地区的生态廊道较东南部密度大。(2)基于生态安全格局识别的生态修复关键区域包括生态夹点415个,面积达30.55km²;生态障碍点341个,面积共计25.72km²;低质量生态空间面积为1043.73km²。(3)生态修复关键区域内土壤侵蚀主要以微度侵蚀为主;地质灾害多发于采矿区以及黄土丘陵沟壑区;水源涵养低值区主要分布在低质量生态空间;林地和草地的退化程度呈现东部较中部和西南...     

羌塘高原高寒草地生态系统生产力动态

基于实测气象数据和遥感数据,分析了藏北地区气候变化趋势,并采用植被 气候综合模型和CASA模型模拟分析了藏北草地潜在和现实净第一性生产力(NPP)的动态变化和空间格局.结果表明：1955—2004年间,羌塘高原年平均气温上升了1.37 ℃,降水量增加了63 mm,中、东部区域的气候趋于暖湿化,西部区域趋于暖干化,目前气候变化尚未引起草地退化.草地潜在NPP平均值为东部 > 中部 > 西部.1982—2004年,由于水热条件的变化,中部区域的潜在NPP增加值最高,达0.55 t·hm^-2·a¹,东部和西部分别为0.51和0.21 t·hm^-2·a^-1;东、中、西部现实NPP增量分别为-0.19、-0.03 和0.20 t·hm^-2·a^-1.超载过牧是东、中部草地退化的主要原因,中部是草地保护恢复工程的最佳实施区域.     

黄河流域生态安全屏障防风固沙时空变化及驱动因素

黄河流域是我国重要的生态屏障和经济区,防风固沙服务及其驱动机制的研究对于筑牢黄河流域生态安全屏障具有重要意义。基于修正土壤风蚀模型(RWEQ)定量评估黄河流域2000—2018年防风固沙服务时空变化,采用相关分析和地理加权回归模型(GWR)从社会、气候、土壤、植被、地形等角度探究各驱动因素对黄河流域防风固沙服务影响的空间异质性。结果表明：(1)2000—2018年黄河流域土壤风蚀模数与单位面积防风固沙量分别以0.04 t hm^-2 a^-1和0.14 t hm^-2 a^-1的速率下降,而防风固沙保有率和植被覆盖度则分别以0.05%·a^-1和0.26%·a^-1的速率上升。(2)黄河流域土壤风蚀以微度(<2 t hm^-2 a^-1)和轻度(2—25 t hm^-2 a^-1)为主,共占研究区面积的96.28%。土壤风蚀在空间分布呈现西北高东南低的特点,而防风固沙服务高值则主要分...     

基于协同克里格的橡胶园土壤速效钾空间变异性

选取有效变量的协同克里格方法能够提高县域尺度橡胶园土壤速效钾的空间预测精度,对橡胶树精准施肥管理具有重要意义。本研究以海南省白沙县橡胶园0～20 cm耕层土壤为对象,采用地统计学分析土壤速效钾的空间变异特征,运用相关分析筛选显著的特征变量,并比较不同变量的协同克里格(COK)空间插值精度。结果表明: 研究区土壤速效钾平均含量为44.65 g·kg^-1,总体处于缺乏状态;变异系数为52.6%,属中等变异强度;块金效应为12.5%,存在较强的空间自相关。有机质、高程与土壤速效钾含量关系密切,均呈极显著相关;有机质(COK₁)、高程(COK₂)、有机质+高程(COK₃)3种协变量的COK空间插值预测精度均高于普通克里格法(OK),交叉验证模型拟合精度为COK₁>COK₃> COK₂>OK;拟合精度与协变量选取的数量不呈正比,选取相关性更高的协变量更有利于反映区域土壤属性的空间异质性。研究区土壤速效钾含量具有西北部较高、中偏东部地区较低的分布特点。研究结果为今后开展橡胶园土壤钾素管理提供了理论依据。     

1990年来中国城镇建设用地占用耕地的效率和驱动机理时空分析

定量揭示城镇建设用地与耕地的时空变化关系和相互作用机理,是如何实现城镇建设用地需求与耕地资源保护二者间动态平衡的关键问题之一。基于1990—2015年全国城镇建设用地及耕地的空间数据,在对比分析中国31个省份近25年来的城镇建设用地及耕地时空格局变化的基础上,定量求算因城镇建设用地扩张导致耕地减少的速率,并引入数据包络分析法和地理探测器,实现自1990年以来中国城镇建设用地占用耕地的驱动效用机理。结果表明:1)在时间维度上,1990—2015年间,中国城镇建设用地增长2.6×10⁴ km²,增速107%,而扩张速率以2.4%/5 a逐渐降低。1990—2000年耕地呈增加趋势(增加2.96×10⁴ km²),2000年后呈减少趋势,总体减少速率为0.29%/5 a。全国新增城镇建设用地占用2.12×10⁴ km²耕地,占城镇新增总量的72.5%;2)在空间分布上,全国城镇建设用地扩张面积由东向西逐渐减小,但2010后的西部区域扩张速度呈上升趋势。耕地面积在西北和东北地区有所增加,东部和中部呈减少趋势,城镇建设用地占用耕地比例由东部向西部逐渐减弱,但中东部耕地被建设用地占用形式仍然严重;3)在城镇建设用地占用耕地的效用上,1990—2015年,全国城镇建设用地占用耕地的产出效益呈现降低趋势,其中产出效益超过0.8的省份主要分布在沿海地区,西北地区产出效益普遍较低。分析结果显示,经济发展因素是新增城镇建设用地占用耕地的主要驱动因素,其次为空间位置因素和政策措施,自2010年后政策因素的驱动作用强度呈增加趋势。     

紫茉莉开花过程中花色和花色素的变化规律

紫茉莉是我国广泛分布的庭院花卉之一,具有丰富的花色。但不同花色紫茉莉在开花过程中的花色变化规律及其呈色机制还不清楚。以紫红色、黄色和白色紫茉莉为研究对象,分别通过色差仪测定法和紫外-可见分光光度法测定了不同开花时期不同花色紫茉莉花色表型及各类色素含量,探讨了其花色和色素变化规律,揭示其呈色机制。结果表明,从花蕾期到盛开期,紫红色紫茉莉花冠由淡绿色转变为紫红色,明度L^*值和色相b^*值减小,而色相a^*值、色度C^*值和色度角h值增大,叶绿素含量逐渐下降,类胡萝卜素、花色素苷和总黄酮含量逐渐升高;黄色紫茉莉花冠由淡绿色转变为黄色,盛开期具有最高的色度C^*值、色相a^*值和b^*值,整个开花过程具有较稳定的叶绿素和总黄酮含量,同时具有较高的类胡萝卜素含量;白色紫茉莉花冠由淡绿色转变为白色,过渡期具有最高的明度L^*值、色度C^*值、色相a^*值和b^*值,整个开花过程花色素苷和总黄酮含量较低,但随着开花进程逐渐升高,而类胡萝卜素含量稳定,过渡期总叶绿素含量显著低于其他2个时期。可见,不同花色紫茉莉开花过程中花色变化规律存在差异,而其差异性与其相应的色素成分变化密切相关。     

960-2011年西北五省潜在蒸散的时空变化

基于Penman-Monteith模型和Hurst指数模型,分析了我国西北五省1960-2011年潜在蒸散(ET₀)的时空演变特征及其未来趋势,并采用敏感性分析方法定量分析了驱动ET₀变化的主导因素.结果表明:研究期间,西北五省ET₀整体呈下降趋势,降速为-0.72 mm·a^-1,但1993年之后,ET₀逐渐增加;ET₀空间分布存在显著差异,西北五省ET₀平均值为1158 mm 675~2282 mm),最大值出现在新疆的七角井（2282 mm）,低值区主要分布在陕南秦巴山地（<800 mm）.除春季外,其余季节ET₀均呈下降趋势,且在未来趋势分析中,西北五省81.4%的区域ET₀由减少转为增加,在全球变暖背景下,该区暖湿化程度将有所减弱,而新疆中部的ET₀将持续减少.西北五省全年及各季节影响ET₀变化的主导因素主要为风速,但风速在不同季节、不同区域的影响范围有所差异,冬季风速影响范围覆盖整个西北五省,夏季则影响整个新疆及甘肃和青海的西北部.     

CO2排放承载力计算模型的构建与应用

针对现有生态足迹未考虑CO₂排放承载力的问题,从碳吸收角度将净初级生产力与生态足迹法相结合,构建了CO₂排放承载力计算模型,据此对吉林省近15年的CO₂排放承载力进行了动态分析。结果显示,1994～2008年,吉林省人均CO₂排放承载力从2.0345hm²减少到1.9504hm²,呈先升后降波动变化趋势。在CO₂排放承载力构成中,林地、耕地、草地是主体,三者合计占89.54%～94.43%;草地变化最大,从0.5692hm²减少到0.1857hm²,降幅达67.38%;低生产力土地面积和草地面积均与人均CO₂排放承载力呈极显著相关(R²=-0.806、0.716),低生产力土地扩张和草地退化是人均CO₂排放承载力下降的主要影响因素。研究表明,CO₂排放承载力模型反映了自然环境对能源废弃物的消纳能力,符合区域资源禀赋的实际情况。     

菠萝叶片色泽、色素及抗氧化活性的关系

以菠萝22个栽培品种的叶片为实验材料,测定其5种色泽参数（L^*、a^*、b^*、c^*和h^*值）、5种色素（叶绿素、类胡萝卜素、花青苷、类黄酮和总酚）含量及3种抗氧化活性指标（ABTS、DPPH自由基和亚硝酸盐的清除能力）,并进行相关性分析。研究结果显示,色泽参数a^*和h^*值可以作为菠萝叶片指示色泽、主要色素含量和抗氧化活性变化的重要指标;菠萝叶片主要色素组成是叶绿素、类黄酮和总酚,且含有少量的花青苷,几乎不含类胡萝卜素。相关性分析结果显示,菠萝叶片类黄酮和总酚含量均与3种抗氧化活性指标极显著正相关,而叶绿素含量与其它指标相关性未达到显著水平,类黄酮和总酚是菠萝叶片抗氧化活性的主要功效成分。     

乌鲁木齐山地草地生态系统服务价值变化评估——基于遥感与GIS

草地生态系统服务功能是指草地生态系统及其生态过程所形成和维持的人类赖以生存的自然环境及其有效性,中国干旱半干旱地区的草地退化严重制约着生态系统服务功能的。以乌鲁木齐市山地草地为研究靶区,利用遥感图像(Landsat TM/OLI)划分出7种不同草地类型并计算其生态系统服务价值(Ecosystem Service Values, ESV)。使用空间统计方法、网格分析、空间自相关等方法进一步分析研究区山地草地退化程度和ESV变化。结果表明:21年中,乌鲁木齐市草地生态系统服务价值呈现波动性下降趋势,年均减少0.27×10~7元。生态损失主要是由山地荒漠草地(7.44%)、山地荒漠草原草地(10.71%)、山地草甸草原草地(18.32%)和高寒草甸草地(40.69%)退化造成。单项生态系统服务价值中,草地对调节服务(土壤形成)和供给服务的贡献率较高。草地ESVs Moran平均值为0.869(1994—2015年),并且草地ESV与相邻网格(2 km×2 km)具有更高的空间相关性。草地ESV具有明显的空间分布特征,高ESV区基本上分布在南山山区,低ESV区主要分布在平原草地区,博格达山草地亚区呈现随机分布格局。研究区气候变化对草地的影响十分显著,平均气温、平均地表温度、湿度、蒸散量、降水量和风速对草地ESV变化均有一定的影响,过度放牧、不合理垦荒、药用植物过度开发、城市化等人为活动仍然是驱动草地退化的主要因子,因此亟需采取措施保育乌鲁木齐市山地草原生态系统。     

内蒙古锡林河流域植被退化的格局及驱动力分析

草地退化是中国北方草原面临的主要生态问题。该文以1984和2004年草原植被群落调查数据为主要依据, 以优势种、建群种和群落类型及其比例的变化作为主要指标, 并与20世纪80年代的植被类型图比较, 分析了内蒙古锡林河流域草地的退化趋势及其空间分布。根据流域内草地退化的实际情况, 将其分为未退化、轻度退化、中度退化、重度退化和极度退化5种退化类型。另外, 根据近20年前后草地植被变化的实际情况, 又划分了恢复和盐化两个类型。结果表明: 草地退化呈现明显的空间分布, 以锡林河为标志, 总体上从上游到下游退化程度逐渐加剧, 表现为浑善达克沙地进入锡林河的部分及沿河地区为重度退化, 锡林浩特市以北的区域, 尤其是流域的西北部, 已经达到了极度退化; 流域中部的白音锡勒牧场主要是中度退化; 轻度退化则均匀地分布于整个流域; 未退化类型多分布于锡林河的西部, 锡林河中下游地区由于农田退耕、草地围封出现了一定程度的恢复; 锡林浩特市以北沿锡林河植被的盐化程度较重。不同的植被类型退化程度也不同, 沙地灌丛植被轻度退化比例较高, 占植被的43%; 羊茅(Festuca ovina)草原和榆树(Ulmus pumila)疏林沙地中度退化草地的比重较高, 超过50%; 贝加尔针茅(Stipa baicalensis)草原和无芒雀麦(Bromus inermis)杂类草草甸的重度退化面积达50%以上; 极度退化比例较大的有克氏针茅(S. krylovii)草原和小叶锦鸡儿(Caragana microphylla)灌丛化草原。对于羊草(Leymus chinensis)草原, 以轻度和中度退化为主。导致不同区域和不同植被类型草地退化的原因也不尽相同, 从近20年的时间尺度来看, 过度放牧、不合理的居民点布局, 以及道路等是草地退化的主要人为驱动因子。研究结果还显示, 仅以生物量的变化来划分草地退化存在一定的局限性, 因此, 该文以群落优势种和建群种来表征草地的退化类型更具有客观性和实际的应用价值。     

荒漠草原优势种群油蒿空间分布格局对封育恢复的响应

灌木对维持草原生物多样性、稳定性及生态服务功能等具有重要作用,探究封育措施对优势灌木种群的影响,可为草原恢复和抚育管理提供科学指导.本研究对荒漠草原4个封育时间(封育0、5、15、25年)的优势种群油蒿个体特征及种群空间分布格局进行研究.结果表明:油蒿种群密度随着封育时间延长先增加后降低,封育15年时最高,为未封育样地...     

格网尺度下青海玛多县土地利用及生态系统服务价值空间自相关分析

开展黄河源区土地利用和生态系统服务价值空间量化评估,对于保障黄河流域生态安全具有重要意义。以黄河源区玛多县为例,基于3 km×3 km网格单元,应用空间自相关方法构建生态系统服务价值评价模型,定量评价了2015年玛多县土地利用/覆被空间自相关格局特征,可视化表达了玛多县生态系统服务价值空间信息。结果表明: 在3 km×3 km格网尺度下,不同覆盖度草地覆盖范围广阔;水域网格占总网格数的42.9%,在玛多县西北部分布密集;建设用地呈东北-西南走向的“线条式”分布;未利用土地体现为西南多、东北少的分布格局。在空间上,玛多县土地利用类型网格之间相互影响,表现为正相关性和聚集分布。水域的全局Moran I和局部Moran I值均最大,空间聚集性最强,局部连片度较高。建设用地的全局Moran I和局部Moran I值分别为0.293和0.127,空间自相关性最弱,在小范围内呈聚集特点。2015年,玛多县生态系统服务价值(ESV)为938.87亿元,网格的ESV平均值为3.20×10⁷元,最大值为19.96×10⁷元,水域分布网格是ESV的高值区。玛多县ESV分布格局整体上呈显著的空间正向自相关,ESV在网格之间为聚集分布。不同土地利用类型ESV网格总体呈高高、低低聚集,在局部零星为高低、低高聚集。可采取的国土空间规划与用途管制策略包括:水域、未利用土地采用强调生态溢出价值的“集中连片式”保护模式,高、中、低覆盖度草地采取主次分明、划区管理的“组团式”生态治理模式,建设用地在“廊道式”分布格局中采取小范围集约化开发利用模式。     

天然草原净初级生产力变化监测与驱动力分析——以锡林郭勒草原为例

草地是陆地生态系统重要的组分,利用遥感技术在宏观尺度分析天然草原长势变化与其驱动力是了解草地生态状况的重要手段。本研究基于气候模型和光能利用率模型分别模拟2000—2018年锡林郭勒草原植被潜在植被净初级生产力(NPP)和实际NPP,以它们的差值作为由人类活动导致的NPP残损值,并利用最小二乘法在像元尺度分析锡林郭勒草原NPP时空变化规律以及气候和人类活动对NPP的驱动作用。结果表明: 2000—2018年间,锡林郭勒草地NPP在空间上呈由西向东递增分布规律,年均NPP为271.54 g C·m^-2·a^-1,NPP上升(草地恢复)面积为3.65万km²,NPP下降(草地退化)面积为5.99万km²;潜在NPP在温度和降水的驱动下趋于上升趋势,年均上升6.5 g C·m^-2·a^-1,表明研究期间区域气候(降水和温度)对锡林郭勒草原NPP的提升具有积极作用,草地退化的驱动力主要来自人类活动;人类活动导致的研究区NPP残损值呈由东向西、由南向北递减分布,其中,乌珠穆沁草甸草原及南部典型草原残损值最高;采矿、开垦等人类活动对草地NPP的影响最明显。     

The significance of habitat continuity and current management on the compositional and functional diversity of grasslands in the uplands of Lower Saxony,Germany

There is a growing concern that land use intensification is having negative effects on semi-natural grasslands and that it leads to a general loss of biodiversity among all types of formerly extensively managed grasslands of poor to medium nutrient richness. Since the 1950s, many Central European uplands have been subject to an increase in grassland cover as a result of changes in land use practices. Using such a landscape in Lower Saxony, Germany, as a model region, we assessed environmental factors that control grassland diversity, including plant community composition, species richness and pollination trait composition. In 2007, 189 vegetation sampling sites were randomly distributed among grasslands covering some 394 ha within a 2500 ha study area. Plant communities were classified using TWINSPAN and the effects of environmental factors (soil, topography, current management and habitat continuity) were analysed by canonical correspondence analysis and regression analysis reducing for the effects of spatial autocorrelation by using principal coordinates of neighbour matrices.We found a wide range of six species-poor (<15 plant spp.) to extremely species-rich (>27 spp.) grassland types under mesic to dry site conditions, including sown, Cynosurion, Arrhenatherion and semi-natural grasslands. Grassland community composition was best explained by soil factors and species richness and pollination type composition by combined effects of current management and habitat continuity. During the 1950/60s, the extent of grassland area within the studied landscape rapidly increased to more than double its previous extent, and in 2007, grasslands comprised 16%. Natura 2000 grassland types comprised 1% of the surveyed site and medium-rich, high-nature-value grasslands a further 5%. While the number of wind-pollinated plant species was equal among all grassland types, there was a parallel decline in insect-pollinated plants and overall median species richness in the grassland communities along a gradient of increasing land use intensity (mowing, nutrient supply). Moreover, insect-pollinated plants occurring in intensively managed grasslands were found to additionally have the ability for self-pollination. Species-rich grasslands – including semi-natural grasslands and a semi-improved, species-rich Arrhenatherion community – occurred exclusively on old sites (with >100 years of habitat continuity) that had been used for traditional sheep grazing (environmental contracting). Medium-rich Arrhenatherion grasslands were established primarily on less productive, formerly arable fields (<30 years). We conclude that conservation efforts should focus on extant species-rich grassland types and should aim to implement traditional land use practices such as sheep grazing. Additional restoration efforts should focus on establishing new grasslands on less productive sites in the proximate surroundings of species-rich grasslands to facilitate seed dispersal, but nitrogen deposition should be buffered where appropriate. These measures would enhance the interaction between nature reserves and agricultural grasslands and thus improve the ecological quality of grasslands at the landscape scale.     

基于CASA模型的藏北地区草地植被净第一性生产力及其时空格局

基于1981-2004年遥感监测和气象数据,采用CASA(Carnegie-Ames-Stanford Approach)模型模拟分析藏北地区草地植被净第一性生产力(NPP)及其时空变化特征.结果表明:受水热条件的制约,藏北地区草地植被NPP空间分布规律呈水平地带性分布,由东南向西北逐渐由230g C.m-2.a-1减少到接近0.藏北地区草地植被NPP整体水平较低,年均草地植被总NPP为21.5×1012g C.a-1,多年平均值仅为48.1g C.m-2.a-1,明显低于青藏高原和其它草原区.藏北地区坡度小于1°平地和平滩地,以及南坡的草地植被年平均NPP相对较低.藏北主要高寒草地7-9月NPP占全年NPP的64.0%~70.0%.1981-2004年间,藏北地区草地植被总NPP的年际变化较大,并有进一步下降趋势.     

Beyond “greening” and “browning”: Trends in grassland ground cover fractions across Eurasia that account for spatial and temporal autocorrelation

Grassland ecosystems cover up to 40% of the global land area and provide many ecosystem services directly supporting the livelihoods of over 1 billion people. Monitoring long-term changes in grasslands is crucial for food security, biodiversity conservation, achieving Land Degradation Neutrality goals, and modeling the global carbon budget. Although long-term grassland monitoring using remote sensing is extensive, it is typically based on a single vegetation index and does not account for temporal and spatial autocorrelation, which means that some trends are falsely identified while others are missed. Our goal was to analyze trends in grasslands in Eurasia, the largest continuous grassland ecosystems on Earth. To do so, we calculated Cumulative Endmember Fractions (annual sums of monthly ground cover fractions) derived from MODIS 2002–2020 time series, and applied a new statistical approach PARTS that explicitly accounts for temporal and spatial autocorrelation in trends. We examined trends in green vegetation, non-photosynthetic vegetation, and soil ground cover fractions considering their independent change trajectories and relations among fractions over time. We derived temporally uncorrelated pixel-based trend maps and statistically tested whether observed trends could be explained by elevation, land cover, SPEI3, climate, country, and their combinations, all while accounting for spatial autocorrelation. We found no statistical evidence for a decrease in vegetation cover in grasslands in Eurasia. Instead, there was a significant map-level increase in non-photosynthetic vegetation across the region and local increases in green vegetation with a concomitant decrease in soil fraction. Independent environmental variables affected trends significantly, but effects varied by region. Overall, our analyses show in a statistically robust manner that Eurasian grasslands have changed considerably over the past two decades. Our approach enhances remote sensing-based monitoring of trends in grasslands so that underlying processes can be discerned.     

Classification of desert grassland species based on a local-global feature enhancement network and UAV hyperspectral remote sensing

Grassland ecosystems are an important part of terrestrial ecosystems and are important for building ecological barriers, promoting the pastoral economy, and maintaining social stability. In recent decades, grasslands in northern China have undergone extensive degradation due to the combined effects of global climate change and the anthropogenic overuse of grasslands. An understanding of the spatial distribution of grassland degradation species is helpful for evaluating the process of grassland degradation and formulating appropriate protective measures. This is important for grassland degradation monitoring. To address the limitations of traditional ground surveys and realize intelligent remote sensing grassland degradation monitoring tasks, we use unmanned aerial vehicle (UAV) hyperspectral remote sensing technology to collect data on vegetation species in desert grasslands. In this paper, we propose a local-global feature enhancement network (LGFEN) for the classification of desert grassland species. The method uses the local feature enhancement (LFE) module and global feature enhancement (GFE) module to extract local and spatial information from hyperspectral images (HSIs), respectively. In addition, the introduction of the convolutional block attention module (CBAM) refines the features of HSIs, improving the stability of the classification performance. The results show that the proposed method has superior classification performance compared with existing HSI classification methods. With only 10 training samples per class, the overall accuracy, average accuracy, and kappa coefficient of the proposed method were 98.61%, 97.61%, and 0.9815, respectively. The proposed method provides a new approach for high-precision and high-efficiency dynamic monitoring of grassland ecosystems.     

Spatio-temporal characteristics of evapotranspiration and water use efficiency in grasslands of Xinjiang

Aims Xinjiang is located in the hinterland of the Eurasian arid areas, with grasslands widely distributed. Grasslands in Xinjiang provide significant economic and ecological benefits. However, research on evapotranspiration (ET) and water use efficiency (WUE) of the grasslands is still relatively weak. This study aimed to explore the spatio-temporal characteristics on ET and WUE in the grasslands of Xinjiang in the context of climate change.Methods The Biome-BGC model was used to determine the spatio-temporal characteristics of ET and WUE of the grasslands over the period 1979-2012 across different seasons, areas and grassland types in Xinjiang.Important findings The average annual ET in the grasslands of Xinjiang was estimated at 245.7 mm, with interannual variations generally consistent with that of precipitation. Overall, the value of ET was lower than that of precipitation. The higher values of ET mainly distributed in the Tianshan Mountains, Altai Mountains, Altun Mountains and the low mountain areas on the northern slope of Kunlun Mountains. The lower values of ET mainly distributed in the highland areas of Kunlun Mountains and the desert plains. Over the period 1979-2012, average annual ET was 183.2 mm in the grasslands of southern Xinjiang, 357.9 mm in the grasslands of the Tianshan Mountains, and 221.3 mm in grasslands of northern Xinjiang. In winter, ET in grasslands of northern Xinjiang was slightly higher than that of Tianshan Mountains. Average annual ET ranked among grassland types as: mid-mountain meadow > swamp meadow > typical grassland > desert grassland > alpine meadow > saline meadow. The highest ET value occurred in summer, and the lowest ET value occurred in winter, with ET in spring being slightly higher than that in autumn. The higher WUE values mainly distributed in the areas of Tianshan Mountains and Altai Mountains. The lower WUE values mainly distributed in the highland areas of Kunlun Mountains and part of the desert plains. The average annual WUE in the grasslands of Xinjiang was 0.56 g·kg^-1, with the seasonal values of 0.43 g·kg^-1 in spring, 0.60 g·kg^-1 in summer, and 0.48 g·kg^-1 in autumn, respectively. Over the period 1979-2012, the values of WUE displayed significant regional differences: the average values were 0.73 g·kg^-1 in northern Xinjiang, 0.26 g·kg^-1 in southern Xinjiang, and 0.69 g·kg^-1 in Tianshan Mountains. There were also significant differences in WUE among grassland types. The values of WUE ranked in the order of mid-mountain meadow > typical grassland > swamp meadow > saline meadow > alpine meadow > desert grassland.