岷江上游不同景观结构小流域水量平衡的比较

研究了1988～2002年岷江上游两个小流域（镇江关流域和黑水河流域）不同景观结构（土地覆盖、海拔、坡度、斑块密度、最大斑块指数等）对水量平衡的影响.基于两个流域土地覆盖类型、1988～2002年多年平均降水量和蒸散量的空间分布、两个流域土地覆盖类型同期多年平均径流深度的数据,得到不同土地覆盖类型的海拔、坡度、坡向与降雨、蒸散、径流的关系.结果表明,两个流域有林地海拔、坡度、坡向的不同导致其降水、蒸散降水比、径流降水比各异;两个流域草地水量平衡对景观格局的响应模式与有林地基本一致;由于黑水河流域的耕地分布在干旱河谷中,其蒸散量远远大于降水量,耕地本身的景观结构（坡向、坡度,斑块密度）并不对其水量平衡产生影响,这一点与镇江关完全不同.     

稳定氢氧同位素示踪水汽来源对哈尼梯田降水补给的影响

稳定氢氧同位素可有效示踪区域降水水汽来源,旱季降水补给对大规模哈尼梯田的持续存在具有重大影响。以哈尼梯田世界遗产核心区的全福庄河流域为研究对象,在2015年11月—2016年4月间的旱季期间逐月采集处于不同海拔的7个样点的降水样品42个,分析其稳定氢氧同位素组成的变化及其影响因子,并利用后向轨迹模型(HYSPLIT)追踪其水汽来源。结果表明:1)该区局地大气降水线方程为δD=7.31δ~(18)O+19.8 (R~2=0.94,P0.01,n=42),斜率较全球降水线小而截距偏大,说明研究区有多个水汽来源地。2)旱季降水δ~(18)O和d-excess在前期快速富集,后期δ~(18)O富集的速度减缓,d-excess则快速降低,体现出水汽来源具有时间差异,但两者在空间变化上不明显。3)旱季降水δ~(18)O与降水量、温度和相对湿度的多元线性回归方程为:δ~(18)O=-0.002P-0.86T-0.39H+38.22 (R~2=0.96,P=0.05),表明其变化是多因素综合影响的结果。4)结合δ~(18)O、d-excess和HYSPLIT模型分析,该区旱季主要有3条水汽来源路径,其中西风南支和局地水汽补给较少,占优势的西南季风除2月份外其余各月占70%左右。5)研究区旱季降水量总体较少,但西南季风在11月带来的降水为"灌水养田"提供了水源,在4月的降水为"冲水肥田"和"栽插准备"活动提供了必要水源,从而保障了梯田旱季的用水需求。     

新型降水分布数学模型研究及其应用

在分布式水文模型中,单元栅格内的降水输入是准确模拟各种水文过程的关键因素,寻求产生分布式降水数据的方法是水文模型研究的热点之一.在对国内外降水模型分析基础上,认为流域面上实际降水分布是天气系统降水与下垫面地形影响共同作用的结果,如果不受地形影响,天气系统降水的降水量等值线在平面上的分布近似为一组同心椭圆.根据这一原理,建立了一种能够模拟天气系统降水分布,并利用牛顿插值法对模拟结果进行地形影响修正的新型降水分布数学模型,提出了对降水中心位置及其中心降水量的模型模拟.利用黄土高原西川河流域实测资料对模型进行了检验,结果表明,该模型具有较高精度.由于模型概念简单明晰,且能指明降水中心位置及其中心降水量,因此在流域暴雨分析和洪水预报中具有一定价值.     

DEM栅格分辨率和子流域划分对杏子河流域水文模拟的影响

以黄土丘陵沟壑区杏子河流域为研究区,采用数字滤波法分割了杏子河招安水文站1958—1974年的基流量,评价了SWAT模型在该流域水文模拟的适用性,并分析了DEM栅格分辨率和子流域划分对SWAT水文模拟的影响。结果表明,SWAT模型适用于该流域年河川径流、地表径流、基流及产沙量的模拟。当DEM栅格分辨率在20—150 m之间时,SWAT能有效地模拟年河川径流、地表径流、基流及产沙量,各水文要素模拟结果的R2和NSE分别在0.93和0.51以上,RSR在0.43以下;而当栅格分辨率大于150 m时,各水文要素的模拟效果存在差异。子流域划分对流域产流模拟影响较小,而对产沙模拟影响较大。当子流域提取阈值在12—100 km2之间时,不同的子流域划分对产沙量几乎没有影响,若超出该阈值范围,模型会低估产沙量。因此,可针对不同的水文要素选择合适的DEM和子流域提取阈值,以提高模拟精度和运行效率。     

岷江上游黑水河流域不同景观结构小流域径流系数的比较

在GIS技术支持下,结合岷江上游黑水河流域1988-2002年多年平均降水量和蒸散量空间分布,对不同景观结构的小流域多年平均径流系数进行比较.结果表明:不同土地覆盖类型组合流域多年平均径流系数大小关系依次为林灌流域《林灌草复合流域《森林流域《林草流域,这与流域土地利用类型、流域海拔分布和迎风坡向分布特征有关;对于森林流域和灌木流域,其多年平均径流系数主要受多年平均降水量、多年平均蒸散量和平均坡度共同影响;对于林草流域和林灌草复合流域,其多年平均径流系数主要受流域的多年平均降水量、多年平均蒸散量和多林草面积比共同影响.     

岷江上游植被冠层降水截留的空间模拟

 通过对岷江上游实地踏查和定位观测研究,结合MODIS遥感数据,利用“3S”技术对岷江上游植被冠层降水截留进行了空间模拟。研究结果表明：岷江上游植被叶面积指数（LAI）与增强性植被指数（EVI）以二项式关系拟合效果较好。由于归一化植被指数（NDVI）存在的饱和问题,研究采用EVI反演LAI,统计结果表明：岷江上游LAI值在0～2之间的占28.57%,在2～4.5之间的占63.06%,大于4.5的占8.37%,其中LAI最大值为7.394;从冠层最大降水截留模拟结果来看: 植被较好的地区,如卧龙、米亚罗的植被冠层最大降水截留量较大,而干旱河谷、上游高山草甸等地的植被冠层最大降水截留量相对较低;附加冠层降水截留与降雨量呈线性相关,模型验证时以此为基础,模型模拟的结果较为理想。     

利用GIS和多变量分析估算青藏高原月降水

随着空间降水信息需求的日益增加,空间降水插值已被广泛应用。降水区域不同,插值方法不同;时间尺度不同,插值方法也不相同。适合于所有地区的通用降水插值模型是不存在的。青藏高原自然地理特征独特,分析高原降水的时空格局意义重要。以青藏高原及其周边地区140个气象站点的月降水信息及其该地区的数字高程数据(DEM)为基础,利用G IS工具,对比分析了五种插值方法在青藏高原不同降水年份(以1998年、1997年分别代表丰水及欠水年份)的干湿季(1998年的干湿季分别以12月份和8月份为代表,1997年的干湿季分别以1月份和7月份为代表)月降水插值中的应用,并对整个高原地区的干季和湿季的月降水进行制图。这5种插值方法分别是:克里金插值法、反距离加权法、样条法、混合插值法Ⅰ和混合插值法Ⅱ,前3种插值方法未考虑海拔高度对降水的影响,而混合插值法则将高程作为降水的重要影响因子。结果表明:①在干季,无论是丰水还是欠水年份,月降水量都比较少,高程对降水量的影响较小,在月降水插值时可不考虑高程的影响,克里金法的月降水插值精度最高。②在湿季,月降水量较多,高程的影响较大,混合插值法比局部插值法及克里金插值法的精度高,尤以混合插值法Ⅱ(多元回归和样条法的综合)的精度最高。③干季,整个高原的月降水很少,西部和北部降水最少,东部和南部相对较多;湿季,高原的月降水较多,空间格局表现为由东南向西北递减。     

利用不同分辨率卫星影像的NDVI数据估算叶面积指数(LAI)——以岷江上游为例

短周期的低分辨率遥感数据为大面积估算LAI及季节动态和物候趋势提供了有利工具,但基于高分辨率LAI的遥感估算模型在低分辨率遥感数据上应用有很大的不确定性。研究利用LAI-2000冠层分析仪与跟踪辐射和冠层结构测量仪(TRAC),测定了岷江上游流域范围内490块野外调查样地(50m×50m样方)的LAI数据,结合同期较高精度卫星数据(TM)建立了不同植被类型的LAI-NDVI算法,在经过传感器的相对校正后,将这种算法应用到同期分辨率较低的MODIS数据和SPOT VEGETATION数据上。结果表明,30m分辨率的TM LAI的均值为4.53,250m MODIS LAI的均值为3.55,1000m VGT LAI的均值为4.20,随着栅格分辨率的降低,总体标准差有增加的趋势,并且LAI值也有不同程度的低估,其中MODIS LAI值被低估约22%。但利用TM LAI数据验证MODIS和VGT LAI数据后发现,250m的MODIS数据预测误差在30%左右,1000m的SPOT数据预测误差则高达50%,空间重采样分析表明,栅格分辨率的降低是导致预测误差扩大的主要原因,而这也是岷江流域植被分布破碎化的体现。     

基于环境辅助变量的拔山茶园土壤肥力空间预测

以地形因子、植被覆盖度等为辅助变量,利用回归克里格法预测低山丘陵区茶园土壤肥力,分析了富阳市拔山茶园土壤肥力的空间变异规律.结果表明:相对高程、平/纵向曲率等结构性因素是引起研究区土壤肥力空间变异的主要原因,研究区土壤肥力沿海拔高度呈垂直变化,随着海拔高度的降低土壤肥力水平也逐渐降低;拔山茶园土壤肥力总体较高,肥力较低的区域面积仅占研究区总面积的5%.回归克里格法所得土壤肥力的预测精度明显高于普通克里格,其平均预测误差和预测均方根误差分别为0.028和0.108.该方法能充分反映环境变量对土壤肥力的影响,提高土壤肥力的空间预测精度,可为茶园的精准管理提供依据.     

漓江上游典型森林植被对降水径流的调节作用

利用野外同步长期定位观测林外降雨、地表径流和河川径流的方法,对漓江上游典型森林植被的生态水文过程进行观测研究。结果表明:1)流域降水年内分配极不均匀,50a年降雨量总体变化趋势不明显。林冠截留受林外降雨特征的影响,也与植被类型密切相关。2)地表径流平均滞后时间为70 min。在连续降雨的情况下,降雨滞后效应不再明显,甚至出现地表径流与降雨同步的现象,小降雨可能产生大的地表径流,从而加大流域在雨季发生洪灾的风险。3)湿季径流系数略大于旱季,干季降水量减少,且森林植被消耗大量水分,减少了枯水期径流的产生,增大发生旱灾的风险。森林植被延长河川径流持续时间,使一次持续18 d的降水过程形成的径流,在降水停止后能延续24 d。降雨后退水持续时间与前期降水及后期降水叠加有关。目的为揭示漓江上游森林植被对降水径流的调节作用,客观评估漓江上游水资源潜力、加强流域水资源管理和森林经营提供科学依据。     

Dry season watering alters the significance of climate factors influencing phenology and growth of saplings of savanna woody species in central Zambia,southern Africa

Although tree growth in southern African savannas is correlated with rainfall in the wet season, some studies have shown that tree growth is controlled more by rainfall in the dry season. If more rainfall occurred in the dry season in future climates, it would affect the growth of savanna trees, especially saplings that have shallower roots which limit access to subsoil water during the dry season when leaf flush and shoot extension occur. Recent paleobotanical evidence has revealed that there was relatively more precipitation in the dry season in eastern Africa in the Eocene than under the current climate. Saplings therefore can be expected to respond more to water addition during the dry season than mature trees that have more stored water and deeper roots that access subsoil water. Accordingly, I hypothesized that irrigation in the dry season should (i) advance the onset of the growing season, (ii) increase growth rates and (iii) alter the growth responses of saplings to climate factors. To test these hypotheses saplings of five savanna woody species were irrigated during the hot‐dry season at a site in central Zambia and their monthly and annual growth rates compared to those of conspecifics growing under control conditions. Although the responses among the species were variable, all irrigated saplings had significantly higher monthly and annual growth rates than control plants. In addition, dry season watering significantly altered the climatic determinants of sapling growth by either strengthening the role of the same climatic factors that were important under control conditions or displacing them altogether. In conclusion, more precipitation during the hot‐dry season is likely to have significant positive effects on sapling growth and consequently reduce the sapling‐tree transition periods and promote future tree population recruitment in some southern African savanna tree species.     

Seasonal habitat use by Elephants (Loxodonta africana) in the Mole National Park of Ghana

To avoid unnecessary waste of limited resources and to help prioritize areas for conservation efforts, this study aimed to provide information on habitat use by elephants between the wet and dry seasons in the Mole National Park (MNP) of Ghana. We compiled coordinates of 516 locations of elephants’ encounters, 256 for dry season and 260 for wet season. Using nine predictor variables, we modeled the probability of elephant's distribution in MNP. We threshold the models to “suitable” and “nonsuitable” regions of habitat use using the equal training sensitivity and specificity values of 0.177 and 0.181 for the dry and wet seasons, respectively. Accuracy assessment of our models revealed a sensitivity score of 0.909 and 0.974, and a specificity of 0.579 and 0.753 for the dry and wet seasons, respectively. A TSS of 0.488 was also recorded for the dry season and 0.727 for the wet season indicating a good model agreement. Our model predicts habitat use to be confined to the southern portion of MNP due to elevation difference and a relatively steep slope that separates the northern regions of the park from the south. Regions of habitat use for the wet season were 856 km² and reduced significantly to 547.68 km² in the dry season. We observed significant overlap (327.24 km²) in habitat use regions between the wet and dry seasons (Schoener's D = 0.922 and Hellinger's‐based I = 0.991). DEM, proximity to waterholes, and saltlicks were identified as the key variables that contributed to the prediction. We recommend construction of temporal camps in regions of habitat use that are far from the headquarters area for effective management of elephants. Also, an increase in water point's density around the headquarters areas and selected dry areas of the park will further decrease elephant's range and hence a relatively less resource use in monitoring and patrols.     

Effects of seasonal precipitation change on soil respiration processes in a seasonally dry tropical forest

Precipitation is projected to change intensity and seasonal regime under current global projections. However, little is known about how seasonal precipitation changes will affect soil respiration, especially in seasonally dry tropical forests. In a seasonally dry tropical forest in South China, we conducted a precipitation manipulation experiment to simulate a delayed wet season (DW) and a wetter wet season (WW) over a three‐year period. In DW, we reduced 60% throughfall in April and May to delay the onset of the wet season and irrigated the same amount water into the plots in October and November to extend the end of the wet season. In WW, we irrigated 25% annual precipitation into plots in July and August. A control treatment (CT) receiving ambient precipitation was also established. Compared with CT, DW significantly increased soil moisture by 54% during October to November, and by 30% during December to April. The treatment of WW did not significantly affect monthly measured soil moisture. In 2015, DW significantly increased leaf area index and soil microbial biomass but decreased fine root biomass. In contrast, WW significantly decreased fine root biomass and forest floor litter stocks. Soil respiration was not affected by DW, which could be attributed to the increased microbial biomass offsetting the decrease in fine root biomass. In contrast, WW significantly increased soil respiration from 3.40 to 3.90 μmol m^?2 s^?1 in the third year, mainly due to the increased litter decomposition and soil pH (from 4.48 to 4.68). The present study suggests that both a delayed wet season and a wetter wet season will have significant impacts on soil respiration‐associated ecosystem components. However, the ecosystem components can respond in different directions to the same change in precipitation, which ultimately affected soil respiration.     

陕北黄土区大气降水同位素特征及其水汽来源

为探究陕北黄土区大气降水氢氧稳定同位素特征及其水汽来源,以陕西省定边县为研究区,于2018—2020年共收集107次降水事件样品,分析了该区降水中δ¹⁸O和δ²H组成特征,并探讨了不同季节的水汽来源。结果表明: 定边氢氧稳定同位素存在明显的季节变化,湿季(6—9月)偏贫化,干季(4—5月、10—11月)偏富集;氘盈余呈现干季高湿季低的特点。当地大气降水线方程为δ²H=7.35δ¹⁸O+4.19 (R²=0.96, P<0.01),斜率和截距均小于全球大气降水线,表明该区域降水受到一定程度的蒸发分馏影响。全年降水同位素组成表现出温度效应,而湿季和干季差异较大,仅干季存在温度效应,湿季降水同位素组成可能受温度和降水量的共同影响。HYSPLIT气团轨迹模型表明,干季水汽主要来自大西洋和极地北冰洋地区,而湿季降水主要来自印度洋和太平洋,同时受到西风带的影响。     

Tree-ring based December–February precipitation reconstruction in the southern Zagros Mountains,Iran

We developed the first tree-ring width chronology from Quercus brantii Lindel for the period 1796–2015 in the southern Zagros Mountains, Iran, using standard dendrochronological procedures. Climate-growth relationships revealed that DecemberöFebruary precipitation has strong positive effects (r = 0.66; P < 0.01) on the species’ growth while mean temperature during the growing season has strong negative effects. Spatial correlations with Palmer Drought Severity Index (PDSI) and gridded precipitation data revealed that the chronology contains regional climate signals and tree growth variations may represent precipitation fluctuations over large areas of the Middle East. The linear regression model accounts for 44% of the actual DecemberöFebruary precipitation variance. The reconstructed precipitation revealed that over the period 1850–2015 extreme dry years occurred in 1870-71, 1898, 1960 and 1963-64, and extreme wet years occurred in 1851, 1885, 1916 and 1921 in the southern Zagros region. The longest dry period lasted 16 years and occurred from 1958 to 1973. Two-year consecutive wet and dry events showed the highest frequencies and the average length of dry and wet events were 2.9 and 3.6 years over the reconstructed period. Correlations between the long-term reconstructed precipitation and the North Atlantic Oscillation (NAO), Southern Oscillation Index (SOI), and Pacific Decadal Oscillation (PDO) confirmed the effects of teleconnection patterns on precipitation in the southern Zagros region.     

Distribution and abundance of magpie geese,Anseranas semipalmata,in the Alligator Rivers Region,Northern Territory

Aerial surveys from 1981 to 1984 were used to identify monthly changes in the abundance of magpie geese on Jive floodplains in the Alligator Rivers Region of the monsoonal Northern Territory, and ground surveys were conducted during the same period on one of the plains to provide more detailed distributional information. The aerial surveys showed that the Magela floodplain was inhabited by few geese during the wet season (November-March), but that numbers then increased to an estimated average peak of 80 000 in the late dry season. The Nourlangie floodplain and Boggy Plain (a large backswamp of the South Alligator floodplain) exhibited a similar pattern, except that the peaks occurred 2–3 months before the end of the dry season and comprised many more geese (an estimated average of 350 000 birds). In contrast, geese were uncommon on the East Alligator floodplain except during the wet season, and densities and numbers were lower than on the three previous plains. The Cooper floodplain was occupied intermittently, and numbers and densities were always relatively low. Geese appeared to return from their breeding localities to the floodplains of the Alligator Rivers Region progressively during the dry season, concentrating first on the extensive Eleocharis swamps of the Nourlangie floodplain and then waiting out the remainder of the dry on the substantial permanent waters of the Magela floodplain and other nearby wetlands. Ground surveys on the Magela floodplain suggested that geese were highly mobile, apparently seeking suitable nesting habitat in the late wet season, and then a sequence of feeding areas during the dry season. Aerial surveys underestimated densities; on the basis of ground surveys, average peak numbers on the Magela plain were calculated to be 500 000. We estimate that the Alligator Rivers Region supported an average of about 1.6 million geese in the dry season, but very many fewer during the wet season.     

蒸发需求干旱指数(EDDI)在辽宁省干旱识别中的应用

蒸发需求干旱指数(EDDI)是从大气蒸发需求(E₀)角度出发建立起来的一种多尺度的干旱指标,具有不依赖降水量、适用于各种下垫面类型的特点,具备在不同时间尺度捕捉水胁迫信号的能力。本研究基于1961—2018年辽宁省52个气象站气象观测资料,逐日估算E₀,按年、生长季(4—10月)、春季、夏季、秋季、冬季分别计算EDDI,分6个时间尺度识别近58年辽宁省干旱发生的年际变化特征。结果表明: 研究期间,辽宁省EDDI年际变化阶段性明显,多个时间尺度的EDDI呈两个高值集中期。在20世纪60年代,年、生长季、春季、秋季和冬季5个时间尺度的辽宁省平均EDDI高值区相对集中,这一阶段辽宁省发生干旱的年数多、程度重;除冬季外,2014—2018年是其他5个时间尺度的EDDI高值另一个相对集中的时段;1981—1982年,辽宁省的年、生长季、夏季、秋季的EDDI值偏高。1963—1965年(除夏季外)、1972—1973年(生长季、夏季)、1989—1990年(年、生长季、春季、冬季)、1997—1998年(年、生长季、夏季)、2004—2005年(春季、冬季)和2013—2014年(年、生长季、秋季)都发生了干-湿或湿-干逆转事件。1985—1987、1993—1995和2005—2013年,辽宁省存在明显的干旱空窗期。     

安宁河中游底栖动物群落结构及其与环境因子的关系

为了解安宁河底栖动物群落结构及其影响因素, 分别于丰水期(2015年7、8月)和枯水期(2016年1、2月)开展了安宁河中游干支流底栖动物的2次调查, 并于2015年7月至2016年6月进行安宁河支流的周年调查。共检出底栖动物5门115属122种, 其中水生昆虫居多(109种)。干流丰、枯水期底栖动物的密度和生物量都明显低于支流, 丰水期干支流底栖动物的密度和生物量都明显低于枯水期。安宁河支流全年优势种为四节蜉(Baetis sp.)、蚋(Simulium sp.)、高翔蜉(Epeorus sp.)、花翅蜉(Baetiella sp.)、扁襀(Peltoperlidae spp.)和小蜉(Ephemerella sp.)。安宁河支流底栖动物密度以12月最高, 7月最低; 生物量以1月最高, 7月最低。典范对应分析(CCA)分析结果显示, 影响丰水期安宁河底栖动物分布的关键环境因子为底质类型和海拔, 影响枯水期底栖动物分布的主要环境因子为流速、海拔和水温; 影响安宁河支流底栖动物群落结构周年变化的主要环境因子为水温与电导。研究为高海拔地区河流生物多样性研究和保护提供科学参考。     

Reverse flow of sap in tree roots and downward siphoning of water by Grevillea robusta

1. Constant-power heat-balance sap flow gauges were used to compare sap flow in vertical and lateral roots of Grevillea robusta trees growing without access to ground water at a semiarid site in Kenya.
2. Reversal of sap flow occurred when root systems crossed gradients in soil water potential. Measurement of changes in the direction of flow was possible because of the symmetrical construction of the sap flow gauges; gradients in temperature across the gauges, and thus computed rates of sap flow, changed sign when reverse flow occurred.
3. Reverse flow in roots descending vertically from the base of the tree occurred, while uptake by lateral roots continued, when the top of the soil profile was wetter than the subsoil. The transfer of water downwards by root systems, from high to low soil water potential, was termed 'downward siphoning'; this is the reverse of hydraulic lift.
4. Downward siphoning was induced by the first rain at the end of the dry season and by irrigation of the soil surface during a dry period.
5. Downward siphoning may be an important component of the soil water balance where there are large gradients in water potential across root systems, from a wet soil surface downwards. By transferring water beyond the reach of shallow-rooted neighbours, downward siphoning may enhance the competitiveness of deep-rooted perennials.     

Temporal and Spatial Patterns in Inputs and Stock of Organic Matter in Savannah Streams of Central Brazil

Coarse particulate organic matter (CPOM) inputs from riparian vegetation into streams and CPOM benthic stock vary naturally in space and time, but most studies in the tropical savannah (Cerrado) have been done over a small temporal scale (<1 year), which does not allow for the determination of inter-annual patterns. We found that CPOM collected over two years differed temporally and spatially, whereas there was no significant variation between years for the benthic stock, which indicates high stability in the energy balance of streams. The largest monthly inputs occurred between August and October, at the end of the dry season and the onset of the rainy season, which was partially explained by precipitation. Other factors such as photoperiod, which was not studied, could also have important roles in this pattern. Spatial differences in CPOM between streams were attributed to topography and channel morphology. The plant density was lowest in the stream with a more irregular topography and a deeper channel, which results in drier riparian soil. The benthic stock was highest in the stream with a flat channel, where the lower water speed facilitates the accumulation of CPOM in the stream bed. Inter-annual differences in CPOM were attributed more to the differences in the beginning of the dry and wet periods between years than to the average values of precipitation. Longer-term studies are needed to clarify this temporal pattern.