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1.
The Lesser Whitethroat is a very common passerine species with two of the main populations breeding in Europe and in southwest Asia, both wintering in East Africa. These populations must therefore cross the Sahara-Arabian desert belt twice each year. Ring recoveries from northwestern Europe indicate the importance of the eastern Mediterranean flyway between breeding and wintering grounds for this species funneling through Israel. The aim of the study was to describe the staging patterns and phenology of migratory Lesser Whitethroat at the Eilat stopover site located on the threshold of the Sahara-Arabian desert. The number of individuals ringed in spring was on average as much as 25.2 times higher than in autumn passage. We did not find any significant differences in age ratios between passage seasons; however in both seasons adults were recorded earlier than juveniles. Furthermore, the body condition was better during autumn than spring. An analysis of Lesser Whitethroats recaptured during spring passage showed that Eilat is a suitable stopover site for both age classes, which displayed similar staging pattern. Recaptured birds were in better body condition than at first capture, and the improvement of body condition was positively connected with the length of stay at the stopover site. 相似文献
2.
乌梁素海是干旱半干旱地区典型的湿地。其位于东亚—澳大利西亚及中亚—印度两条迁徙路线上,是迁徙候鸟极其重要的繁殖地和停歇地。从2009到2012年,我们采用样线法和样点法对水鸟及其栖息地进行调查,共记录了98种水鸟,隶属于6目、14科,同时记录到水鸟个体超过100 000个。其中夏候鸟55种(在此繁殖)、旅鸟39种(在此短暂停留),分别占所记录物种数的56.12%和39.80%。对所记录的鸟类及其种群的迁徙规律进行进一步分析,结果表明:春季迁徙期主要为3月上旬到5月中旬,比秋季迁徙期(8月上旬到11月中旬)短。水鸟繁殖的高峰期是4月上旬到5月下旬。重点保护水鸟(包括IUCN红色名录中的受胁物种以及中国重点保护野生动物名录中的Ⅰ、Ⅱ级保护物种)的集中分布时间是4月上旬到5月下旬以及9月上旬到11月上旬;相比春秋迁徙季节,夏季水鸟的群落结构相对稳定。基于研究,我们建议将乌梁素海湿地列入国际重要湿地名录及迁徙路线网络。此外,栖息地管理对鸟类分布的决定作用同样在文中加以讨论。 相似文献
3.
基于Internet与GIS的全球禽流感时空动态分析 总被引：3，自引：0，他引：3
全球禽流感的爆发具有年际尺度的周期性,且周期缩短、频率加快、危害增强,这种趋势与生态环境恶化有关;2003年以来全球禽流感的年内活动具有明显的季节性,多集中在秋末冬初和冬末春初,季节交替、气温变化剧烈是禽流感的诱发因素;通过对2000年以前和2003年以来禽流感发生地的制图研究,发现全球禽流感集中分布在从西欧、地中海、经西亚到东南亚再到拉丁美洲的弧形环带上,这里海陆交互作用强烈、飞禽和水禽活动集中,人类活动排放的某些化学毒物是病毒变异的诱因;将近年来全球禽流感时空分布与候鸟迁徙路线相比较,发现在亚欧非“世界岛”上的8条路线具有良好的对应关系,候鸟迁徙应是禽流感全球传播的重要途径。 相似文献
4.
秦岭太白山气温直减率时空差异性研究 总被引：12，自引：3，他引：9
在评估山地生态系统对气候变化响应的过程中,作为气温要素的重要输入参数,气温直减率（γ）的精确性直接影响到相关科研工作的真实性和可靠性。本文基于秦岭主峰太白山（3771.2 m）11个分布于南北坡和不同海拔的标准气象站点2013-2015年连续3年实测日均温资料和25 m×25 m空间分辨率的DEM数据,研究了太白山气温直减率在不同时间尺度上的变化规律及不同坡向上的空间分布特征。结果表明：① 2013-2015年太白山年均γ北坡均大于南坡,北坡为0.513 ℃/100m,南坡为0.499 ℃/100m;北坡年均γ随海拔变化表现出一定的差异性,而南坡相对稳定。② 年内γ在不同时间尺度上均存在明显差异,且南北坡变化趋势不一致。在季尺度上,γ最大值北坡为夏季,为0.619 ℃/100m,而南坡最大出现在春季,为0.546 ℃/100m,最小值均为冬季,南北坡分别为0.449 ℃/100m和0.390 ℃/100m;春季和夏季,北坡γ均大于南坡,而冬季相反,北坡小于南坡,秋季几乎无差异。在月尺度上,气温相对高的月份γ亦较高,北坡γ变化幅度大于南坡;年始和年末（11-12月、1-2月）北坡γ小于南坡,而5-9月北坡大于南坡,且南北坡γ相差较大。③ 经数据可信度分析,所获得的γ可较为客观地反映太白山气温随海拔变化的规律性,将为山地气温空间分布规律及其生态系统响应等定量研究提供理论基础。 相似文献
5.
新疆不同季节降水气候分区及变化趋势 总被引：13，自引：5，他引：8
利用新疆88个测站1961—2006年逐日降水量资料,采用EOF（主成分分析）、REOF（旋转主成分分析）、线性趋势、kendall-τ检验以及累积距平、t检验、信噪比相结合等方法,对新疆四季降水量的空间特征、变化趋势以及突变时间等进行了对比诊断分析\.结果表明,新疆四季降水量EOF的前3个载荷向量场均表现为全疆一致的降水偏多或偏少型、南北疆反变化的南多（少）北少（多）型以及东西反向的东多（少）西少（多）型等3大整体异常结构;在同一约束条件下,不同季节REOF分析所揭示的降水气候分区不同,冬季大致可划分为3个区,春季6个区,夏季7个区,秋季5个区;除南疆偏西地区冬季降水量未出现显著突变增加趋势外,新疆大部地区于1986年前后冬夏降水量同时显著突变增多,与其上空大气可降水量(APW)的增加有关;北疆春季降水量既没有显著的增加趋势,也未发生过突变;南疆大部地区春季降水量曾出现过显著突变增加,但突变时间早晚不一;从长期变化趋势看,北疆北部、中天山两侧及其以东地区秋季降水量虽增加不显著,但在1978年前后出现过突变增加,是季降水量突变最早区域;北疆西部冬、夏、秋降水量均显著增加,是新疆降水量增加最敏感区域,但秋季降水量的突变增加是从1997年开始的,比冬夏突变晚11 a左右,比其东部地区偏晚30 a左右。 相似文献
6.
青藏高原近40年来的降水变化特征 总被引：28，自引：7，他引：21
利用我国青藏高原地区的1961-2000年56个气象站的逐月降水资料,通过计算降水量的距平百分率,分析了青藏高原自1961至2000年以来降水量变化的趋势和1961-2000年以来各季降水量变化趋势,发现:青藏高原近40年来降水量呈增加趋势,降水量的线性增长率约为1.12mm/a。再将高原划分为四个季节,分析了各季40年来的降水量的变化情况得出:春季降水量年际变化较大,秋季降水量变化不明显。夏季降水量值较大而降水变化幅度较小,冬季降水量变化则与夏季相反。通过将青藏高原分为南北两个地区,分析了两个区的年降水量和四个季节的降水量的变化得出:高原南区1961-2000年降水量呈增加的趋势,降水量的线增长率为1.97 mm/a,春季和冬季降水量年际变化较大,夏季降水量变化不明显,秋季降水量略有增加;北区年降水量和夏季的降水量变化较小,秋季降水量的年际变化较大,冬季降水量变化最大。对青藏高原的南北两区用Mann-Kendall方法进行突变分析,显示高原南区分别在1978年和1994年发生突变,北区没有发现突变。 相似文献
7.
利用陕西省94个国家气象站1961—2018年逐日气象资料,根据干旱灾害气候背景和社会经济环境,结合灾害风险评估相关理论方法,选取致灾因子危险性、孕灾环境脆弱性、承灾体暴露度、防灾减灾能力4个方面指标,建立干旱灾害风险评估指数,基于GIS平台,对陕西省不同季节进行干旱灾害风险区划。结果表明:(1)陕西各区域干旱致灾因子危险性季节差异明显,陕北北部除夏季外各季节干旱危险性较高,关中地区易发生伏旱。陕南的汉中各季节干旱危险性均较大,安康东部和商洛各季节干旱危险性则较小。(2)春季、夏季和秋季,陕南的汉中平原及安康的汉江河谷地带,关中的西安和渭南地区,陕北北部榆林地区为干旱孕灾环境高脆弱性区或较高区;冬季陕南大部、秦岭地区的高脆弱性区较其他三季范围有所减小;海拔较高的秦岭山地,关中平原和陕北北部各季节皆为低脆弱性或较低脆弱性地区。(3)承灾体暴露度的高风险区主要分布于关中地区。(4)全省抵御干旱风险能力最高地区为陕北黄河沿线、关中各地的城镇地区。(5)干旱灾害综合风险的高风险区主要在陕南巴山地区、秦岭南北两侧、陕北南部,陕南汉江平原、关中平原及陕北延安、榆林等地为干旱较低、低风险区。 相似文献
8.
Peter H. Yaukey 《自然地理学》2013,34(2):149-159
Migratory and resident birds were censused, and their habitat use quantified, during three fall migration seasons in Georgia, USA. The suburban study site was a large cemetery with patches of lawn and shade trees, deciduous brush, mature hardwood forest, and an open pine grove. The frequency of use of different cover types, perch heights, and perch substrates was measured for five resident and four migrant species. All of the migrants used narrower subsets of the available habitats than most or all of the resident species. Three migrants also used habitats that were relatively unused by other species at the site. The frequency of use of different patches of vegetation was measured for seven residents and five migrants. Four of the migrants used narrow subsets of the available patches that were used relatively infrequently by other species at the site. Although three of the migrants heavily used a cover type (deciduous brush) that might be available at most stop-over sites, the red-eyed vireo heavily used ornamental magnolia trees which are probably unavailable at most sites. The narrow habitat and patch use of migrants might reflect reduced intraspecific competition because of the small numbers of each species using the site simultaneously. [Key words: bird ecology, foraging behavior, habitat, migrant birds, resident birds, Georgia.] 相似文献
9.
基于秦岭南北地区47个气象站点1960-2016年实测气象资料,利用标准化降水蒸散指数（SPEI）定量分析了秦岭南北地区不同时间尺度干旱发生频率和强度的时空演变特征,并试图揭示该区域干旱发生的原因。结果表明：SPEI值能够较好的反映秦岭南北地区的干旱特征及干湿演变状况。从时间变化上看,近57 a来秦岭南北地区呈干旱化趋势,以20世纪90年干旱化趋势最为显著,干旱化趋势最显著的区域为秦岭以北地区,但近22 a秦岭南北地区开始出现湿润化趋势;从季节来看,四季大部分区域呈干旱化趋势,秋季干旱化趋势最显著且开始最早,春季次之,冬、夏干旱化趋势相对不显著。从空间来看,秦岭南北地区在年、季、月尺度上均有干旱发生且各地区分布极不均匀;其中秦岭以北地区干旱发生频率较高,其他子区域干旱发生频率的空间分布特征较为复杂。干旱发生强度呈现出中西部强,四周弱的特点,干旱发生强度最强的地方为陕西石泉,为14.7%,最弱的地方为四川阎中,为23.6%。 相似文献
10.
The spatial and temporal variability of primary productivity in the China seas from 2003 to 2005 was estimated using a size-fractionated primary productivity model. Primary productivity estimated from satellite-derived data showed spatial and temporal variability. Annual averaged primary productivity levels were 564.39, 363.08, 536.47, 413.88, 195.77, and 100.09 gCm-2a-1 in the Bohai Sea, northern Yellow Sea (YS), southern YS, northern East China Sea (ECS), southern ECS, and South China Sea (SCS), respectively. Peaks of primary productivity appeared in spring (April–June) and fall (October and November) in the northern YS, southern YS, and southern ECS, while a single peak (June) appeared in the Bohai Sea and northern ECS. The SCS had two peaks in primary productivity, but these peaks occurred in winter (January) and summer (August), with the winter peak far higher than the summer peak. Monthly averaged primary productivity values from 2003 to 2005 in the Bohai Sea and southern YS were higher than those in the other four seas during most months, while those in the southern ECS and SCS were the lowest. Primary productivity in spring (March–June in the southern ECS and April–July in the other five areas) contributed approximately 41% on average to the annual primary productivity in all the study seas except the SCS. The largest interannual variability also occurred in spring (average standard deviation = 6.68), according to the satellite-derived estimates. The contribution during fall (October–January in the southern ECS and August–November in the other five areas) was approximately 33% on average; the primary productivity during this period also showed interannual variability. However, in the SCS, the winter (December–March) contribution was the highest (about 42%), while the spring (April–July) contribution was the lowest (28%). The SCS did share a feature with the other five areas: the larger the contribution, the larger the interannual variability. Spatial and temporal variability of satellite-derived ocean primary productivity may be influenced by physicochemical environmental conditions, such as the chlorophyll-a concentration, sea surface temperature, photosynthetically available radiation, the seasonally reversed monsoon, river discharge, upwelling, and the Kuroshio and coastal currents. 相似文献
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12.
The Qinling Mountains, located at the junction of warm temperate and subtropical zones, serve as the boundary between north and south China. Exploring the sensitivity of the response of vegetation there to hydrothermal dynamics elucidates the dynamics and mechanisms of the main vegetation types in the context of changes in temperature and moisture. Importance should be attached to changes in vegetation in different climate zones. To reveal the sensitivity and areal differentiation of vegetation responses to hydrothermal dynamics, the spatio-temporal variation characteristics of the normalized vegetation index(NDVI) and the standardized precipitation evapotranspiration index(SPEI) on the northern and southern slopes of the Qinling Mountains from 2000 to 2018 are explored using the meteorological data of 32 meteorological stations and the MODIS NDVI datasets. The results show that: 1) The overall vegetation coverage of the Qinling Mountains improved significantly from 2000 to 2018. The NDVI rise rate and area ratio on the southern slope were higher than those on the northern slope, and the vegetation on the southern slope improved more than that on the northern slope. The Qinling Mountains showed an insignificant humidification trend. The humidification rate and humidification area of the northern slope were greater than those on the southern slope. 2) Vegetation on the northern slope of the Qinling Mountains was more sensitive to hydrothermal dynamics than that on the southern slope. Vegetation was most sensitive to hydrothermal dynamics from March to June on the northern slope, and from March to May(spring) on the southern slope. The vegetation on the northern and southern slopes was mainly affected by hydrothermal dynamics on a scale of 3–7 months, responding weakly to hydrothermal dynamics on a scale of 11–12 months. 3) Some 90.34% of NDVI and SPEI was positively correlated in the Qinling Mountains. Spring humidification in most parts of the study area promoted the growth of vegetation all the year round. The sensitivity of vegetation responses to hydrothermal dynamics with increasing altitude increased first and then decreased. Elevations of 800 to 1200 m were the most sensitive range for vegetation response to hydrothermal dynamics. The sensitivity of the vegetation response at elevations of 1200–3000 m decreased with increasing altitude. As regards to vegetation type, grass was most sensitive to hydrothermal dynamics on both the northern and southern slopes of the Qinling Mountains; but most other vegetation types on the northern slope were more sensitive to hydrothermal dynamics than those on the southern slope. 相似文献
13.
中国近海初级生产力的遥感研究及其时空演化 总被引：3，自引：0，他引：3
利用分级初级生产力模式反演估算了2003~2005年0o~41oN,105o~130oE海域的初级生产力,并分析了它们的时空演化。同时还计算了该时段内渤海、北黄海和南黄海、东海北部和南部以及南海的平均初级生产力状况,结果得出它们的年平均初级生产力 (2003~2005年) 分别为564.39、363.08、536.47、413.88、195.77和100.09 gCm-2a-1。北黄海、南黄海及东海南部的初级生产力分别在春季 (4~6月) 和秋季 (10、11月) 出现两次峰值,且春季的峰值高于秋季。然而,南海的两个峰值则分别出现在冬季 (1月)和夏季 (8月),且冬季的峰值高于夏季。渤海和东海北部则呈现单峰 (6月) 分布。渤海和南黄海的初级生产力几乎在整年内都高于其它海域,而东海南部和南海的初级生产力则在整年内都低于其他海域。其中,南海的初级生产力最低,月平均全都低于400 mgCm-2d-1。除南海以外的其它5个海域,在春季时期 (东海南部为3~6月,其他海域为4~7月) 的初级生产力最高,平均约占年平均值的41%,其年际变化也最大,平均标准偏差为6.68;而秋季时期 (东海南部为10~1月,其他海域为8~11月) 对年平均的贡献也很大,平均约33%;其他月份 (东海南部为2月和7-9月,其他海域为12~3月) 的贡献则最小。南海的初级生产力则在冬季时期 (12~3月) 最高,约占年平均的42%,夏末秋季 (8~11月) 次之,约30%,春季时期 (4~7月) 最低。叶绿素-a、海表温度、光合有效辐射、季风活动、河流排放、上升流、黑潮以及沿岸流等物理-化学环境因子是造成中国近海初级生产力时空演化的主要原因。 相似文献
14.
1 Introduction Ocean primary productivity controls the exchange of carbon dioxide at the air-sea interface and plays an important role in the global carbon cycle and climate change. Most oceanographic research on primary productivity has focused on the ma… 相似文献
15.
利用1973-2010年12个站点的年平均气温、降水量、风向、风速数据,对38 a来毛里塔尼亚气候变化和风况特征作了初步分析。结果表明:毛里塔尼亚沿海区域38 a来呈变暖趋势,北部荒漠区域和南部热带草原区域则呈现冷暖交替变化的趋势。20世纪60年代降雨量最多,70年代和80年代降雨量偏少,总体上降雨量略有减少。除沿海区域外,南部热带草原区域和北部荒漠区域少雨期和降温期相对应,多雨期与升温期相对应,降雨滞后于温度。1973-2010年月平均风速均呈现下降趋势,南部热带草原区域下降趋势较为明显,北部荒漠区域下降趋势不明显。月平均风速为春季、夏季较大,冬季次之,秋季最小。季节风热条件存在明显差异,北部风热同步,南部先同步后异步,沿海则完全不同步。各站点的年风向频率,沿海区域以北风为主,而北部荒漠区域及南部热带草原区域风向则介于东、北向之间。 相似文献
16.
《自然地理学》2013,34(2):105-129
Many remote locations in the Northern Hemisphere have a spring peak, rather than a summer peak, in ground-level ozone concentrations, and the principal cause is presumed to be stratosphere-troposphere exchange (i.e., stratospheric intrusions). Grand Canyon National Park (GCNP) in northern Arizona also has a spring peak, and the purpose of this study is to explore the impact of stratospheric intrusions and another process synoptic-scale pollutant transport on ground-level ozone levels at GCNP from 1996 to 2000. The primary methods involve the stratification of days to identify stratospheric-intrusion days and the compositing of days to assess the impact of pollutant transport on ground-level ozone concentrations. Results indicate that stratospheric intrusions contributed little to the ozone budget at GCNP. In fact, atmospheric pollution originating in southern California was the likely cause of the May peak in ozone. The transported pollution also appeared to be responsible for high ozone days during all spring months. Tracer-based research (i.e., beryllium-7 and methylchloroform) at multiple locales in the southwestern United States is needed to fully confirm the weak impact of stratospheric intrusions and the strong contribution of ozone and its precursors originating in southern California. 相似文献
17.
Yoel Mansfeld 《The Professional geographer》1992,44(4):377-392
Perceived social impacts of tourism development on local residents in peripheral destinations are examined in the case of the resort city of Eilat (Israel) by utilizing a value-stretch methodology. Analysis shows that local's perceptions are group differentiated. The less locals are affiliated with tourist occupations, the less affluent they are, and the less their sense of peripherality, the more they are affected by the social consequences of tourism development. Policy implications for tourism development in such peripheral settings are suggested. 相似文献
18.
天山山区近40年秋季气候变化特征与南、北疆比较 总被引：24，自引：9，他引：15
利用新疆1959~1998年的秋季温度降水资料,分析天山山区近40年来秋季气候变化的基本特征,所得结果如下: (1) 天山山区秋季温度在冷暖变化阶段上与北疆的相似性强于南疆,但其秋季降水在干湿变化阶段上与南、北疆不同。 (2) 秋季温度空间分布的同步变化性以北疆为最好,南疆最差,天山山区居中。秋季降水空间分布的同步变化性以南疆最好,天山山区最差,北疆居中。 (3) 20世纪60~90年代,天山山区表现为波动升温,而南疆和北疆表现为持续增温,均以90年代温度最高,80年代是三大区域秋季降水最多的年代。60,70及90年代,三大区域的秋季降水均低于30年均值。 相似文献
19.
位于长江口的崇明东滩是东亚一澳大利西亚候鸟迁飞路线上一个重要的候鸟迁徙停歇地。保护区的环志工作始于1986年,自2002年,每年春季和秋季都进行较系统的环志工作。至2010年底,已环志鸺鹬类46种36800余只,其中超过95％的鸟佩带了代表长江口地区标识的黑白色足旗。其中大滨鹬、黑腹滨鹬和翘嘴鹬是崇明东滩环志数量最多的3种鸟类,环志数量分别为10631、3056和2746只。为了便于野外个体识别,保护区于2006年起在环志时尝试使用编码足旗,到2010年,共有9种1758只鸟佩戴了编码足旗。在环志过程中,总计有20种441只来自不同国家地区的环志鸟被回收。回收鸟中超过一半的鸟为大滨鹬,而且70％的回收鸟是在西北澳洲被环志的,表明崇明东滩与西北澳洲对于迁徙涉禽的保护上有非常紧密的联系。崇明东滩环志研究所获得的数据对于了解东亚一澳大利西亚迂徙涉禽的迂徙研究提供了宝贵资料。 相似文献
20.
北京翠湖湿地鸟类资源现状及保护对策 总被引：1，自引：1，他引：0
2009-2011年对翠湖湿地鸟类进行了调查。结果发现:翠湖湿地记录到鸟类17目40科166种,其中非雀形目鸟类108种,雀形目58种。从居留型来看,旅鸟种类数量最多,留鸟和夏候鸟次之,冬候鸟最少。翠湖湿地拥有多种珍稀濒危鸟类,其中属于国家重点保护野生动物(2003)的34种,属于北京市保护野生动物(2007)的68种;翠湖湿地还拥有一些被列入双边国际协定保护中的候鸟,如《中日候鸟保护协定》、《中澳候鸟保护协定》。翠湖湿地鸟类生物多样性十分丰富,在保护野生动植物和候鸟方面发挥着重要的作用。 相似文献