The relationship between drought activity and vegetation cover in Northwest China from 1982 to 2013

We investigated drought activity and the relationship between drought and vegetation in Northwest China over the period 1982–2013 using the standardized precipitation evapotranspiration index (SPEI) and the normalized difference vegetation index (NDVI). The indexes were, respectively, calculated from ground-based meteorological data and from remotely sensed satellite data. The spatial and temporal distributions of drought (SPEI) and of vegetation cover (NDVI) were compared using annual trends, and the relationships between these trends were analyzed. The results are: (1) Overall, Northwest China had a drought trend during the study period, although some a few regions show a significant wetness trend; (2) the mean annual NDVI fluctuates, but overall shows an increasing trend, particularly in some mountainous areas that have at least adequate water and vegetation cover, while unused land becomes degraded; (3) most regions show a positive correlation between SPEI and NDVI, although the western parts of the Tarim basin, Qaidam basin, and some regions in the southeastern part of study area show a negative correlation; and (4) the various regions respond differently to global climate change, but in general regions with more vegetation cover show increased vegetation growth, while regions with less vegetation cover are becoming degraded and thus more vulnerable to the adverse effects of climate change.     

利用MODIS fAPAR傅立叶时间序列分析研究植被光合作用活动对净辐射和降雨的响应：青藏高原个例研究

气候变化对植被动力学有非常大的影响。为了定量描述气候变化对植被的影响，文章利用MODIS fAPAR 数据和NCEP 的净辐射和降雨再分析数据对青藏高原地区气候变化对植被的影响进行了时间序列分析。研究所用的数据时间跨度为2000年至2005年。首先利用NCEP 再分析数据建立了干旱度因子的时间序列，为了与MODIS fAPAR 具有相同的时间采样间隔，由NCEP的日净辐射和日降雨量得到每8天的平均净辐射和8日降雨的和。根据一定时间间隔的净辐射与降雨量的比可以用来衡量相对于可利用水分的剩余能量，因此该比值也是干旱灾害的度量。其次，对MODIS fAPAR 的傅立叶时间序列分析提供了两个植被光合作用对干旱相应的因子，即fAPAR的年平均值及其年振幅值。在时间和空间尺度上对植被光合作用活动与干旱指数之间的关系进行了定量分析。对湿年和干年之间的响应差异进行了比较。研究表明较干地区对气候变化的响应最为显著。分析应该扩展到更长的时间跨度以便更加有效地在时间和空间尺度上评估气候变化对植被动力学的影响。     

植被状态指数VCI与几种气象干旱指数的对比——以河南省为例

使用1982-2006年GIMMS AVHRR NDVI数据集与同期的CI、K、Pa、SPI、Z、PDSI等干旱指数做了对比分析, 讨论了河南省植被状态指数VCI对气象干旱的滞后效应及干旱监测能力. 结果表明: VCI指数与气象干旱指数的相关性受不同下垫面的影响较大, 农地的VCI与气象干旱指数相关性要明显高于林地, 农地VCI与气象干旱指数呈现正相关关系. 在河南省不同的作物生长阶段, VCI对气象干旱有着不同的滞后效应, 其中, 3-5月份冬小麦生长期VCI对气象条件的反应滞后1~3个月, 7、9月份夏玉米生长期VCI对气象条件的反应滞后1月. 总体上看, 结合前期的气象数据, VCI对河南省气象干旱有一定的指示作用和监测能力.     

Some aspects of the spatial characteristics of drought in northern Nigeria

A long-period instrumental data set (1916–1987) of monthly growing season (April–October) rainfall totals for 34 stations in northern Nigeria is used to quantify drought following the method of H. N. Bhalme and D. A. Mooley. It is established that there are remarkable seasonal changes in the patterns of wetness and dryness over the region with no consistent recurrent spatial patterns in the moisture anomalies. In general, large-scale droughts only rarely cover the region as a whole, and there are distinct spatial differences dominating the wet and dry years. The length and severity of drought varies from sub-area to sub-area with very low interannual persistence. Although discrete areas do catch the brunt of drought on a year-by-year basis, drought occurrence in the region is largely sporadic in its spatial distribution. The rather noisy spatial characteristics of drought in northern Nigeria suggests that the seasonal shift in the Intertropical Discontinuity (ITD) is not likely the most important causal mechanism of drought in the region.     

The assessment of drought relief by typhoon Saomai based on MODIS remote sensing data in Shanghai,China

Typhoons are one of the major natural hazards occurring frequently in Shanghai. The comprehensive assessment of drought relief by typhoon has become a major concern of scientists and government agencies in Shanghai, China. In this article, with the support of remote sensing data and the available data from local meteorological stations, the regional drought relief was investigated and the change of drought intensity was quantified by the typhoon “Saomai” between 5 and 8 August 2005. The precipitation anomaly calculated on the basis of recorded rainfall was adopted to analyze drought condition changes before and after the typhoon. Then, vegetation supply water index (VSWI) and normalized difference vegetation index (NDVI) were used to monitor the drought relief due to the consecutive shortage of summer rainfall. Impact of typhoon on drought was compared by VSWI before and after typhoon Saomei. The results showed that the typhoon alleviated the drought of the vegetation by more than 70 %, based on the spatial and temporal distribution of precipitation, the ground temperature, relative humidity, high temperature, NDVI from Shanghai area. The result shows that MODIS remote sensing data are a useful quantitative monitoring tool in drought relief by local typhoons. More strategies are necessary to be adopted for prevention and mitigation of meteorological disaster in Shanghai in recent years.     

长江流域极端水文气象事件时空变化特征及其对植被的影响

利用1982-2015年高时空分辨率地面气象再分析数据,识别以降水和大气饱和水气压差（VPD）为指标的极端干旱（Dry-VPD和Dry-PRE）和极端湿润（Wet-VPD和Wet-PRE）事件,分析其年际变化趋势;结合归一化植被指数（NDVI）,探讨植被与不同极端事件发生频数的相关关系与差异。结果表明:除Wet-VPD外,Dry-VPD、Wet-PRE和Dry-PRE总体呈上升趋势,特别是1998年以后Dry-VPD在长江上、下游流域显著增加;长江流域植被对极端干旱事件的敏感性（以负相关为主）高于极端湿润事件,且长江上游植被对Dry-VPD敏感,而中下游植被对Dry-PRE敏感。综上,长江流域极端干旱事件日趋严重,相较于降水干旱限制植被生长的传统认识,本研究指出在长江上游地区大气干旱对植被的负效应更加明显。     

基于植被指数和土地表面温度的干旱监测模型

干旱是一种周期性发生的自然现象,其发生过程中有关参数如地表覆盖度、温度和土壤表层含水量等可以通过遥感的途径进行定量反演,而这些参数客观地反映了地表的综合特征。综述了运用遥感反演产品---土地表面温度和归一化植被指数在干旱监测中的应用前景和进展,分析了距平植被指数、条件植被指数、条件温度指数和归一化温度指数等干旱监测方法的优缺点,在前人研究的基础上,提出了条件植被温度指数的干旱监测模型,探讨了其应用前景。     

植被状况指数的改进及在西北干旱监测中的应用

干旱是全球分布最广、发生频率最高、持续时间最长、影响范围最大、造成的经济损失最为严重的一种自然灾害，干旱也是所有自然灾害中影响因子最为复杂、人类了解最少、监测最为困难的一种自然灾害，干旱监测是世界性的难题。干旱可以发生在任何气候带上，但干旱、半干旱地区是全球干旱灾害发生最频繁的地区。干旱发生特征和规律因地区的不同会有很大的差异，不同地区对干旱监测方法不同。目前，世界各国干旱监测主要利用基于气象、水文、农业和卫星遥感等观测资料建立的各种干旱指数开展，已经有150多种干旱指数。植被状况指数VCI是应用最为广泛的一种卫星监测干旱的指数，研究和业务应用结果表明，VCI对全球各地的干旱均有较好的反映，已经应用在美国国家大气海洋局（NOAA）日常干旱监测业务中，中国国家卫星气象中心干旱卫星遥感监测服务产品也是以VCI为基础。 我国干旱半干旱地区主要分布在新疆、甘肃、青海、陕西、宁夏以及内蒙古自治区的中西部，这里降水少且不稳定，降水变率大，是中国干旱发生频率最高的地区。干旱严重制约着当地经济发展和人类生活质量的提高，使本身非常脆弱的生态环境趋于恶化。为了了解条件植被指数VCI对西北地区不同气候区干旱的监测能力，以上述6省（区）为研究区，利用1982—2003年22年NDVI数据，计算了研究区域22年来逐月的VCI，对比分析了不同气候区VCI与降水距平的关系。结果表明，VCI在空间和时间上较好地反映了西北大部分气候干旱发生、发展和空间分布，是干旱监测的较好指标，但在干旱和极端干旱地区，VCI经常出现异常偏高现象，不能反映干旱气候区常年干旱的基本特点。通过对西北不同生态系统之间NDVI特点和各生态系统间NDVI年变化及其年际变化规律的研究，设计了VCI改进方案，提出了改进的条件植被指数RVCI。通过对22年来逐月RVCI与VCI的对比，RVCI客观地反映了干旱气候区常年干旱特点，较VCI有显著改进。      

明清时期安徽省蝗灾时空演化、社会影响与响应*

自古以来,蝗灾与水灾、旱灾并称为中国农业社会的三大自然灾害。基于史料文献收集了明清时期安徽历史蝗灾记录,通过构建10 a尺度上的蝗灾频次序列和1 a尺度上的蝗灾县次序列,在县域尺度上绘制了蝗灾指数分布图,探讨了蝗灾演化时空动态过程。通过引入饥荒、米价以及疫灾序列分析了蝗灾对社会的影响以及古代社会对蝗灾的响应过程。结果表明: 明清时期安徽境内共发生181次蝗灾,每3.2次/10 a,累计653个受灾县次,平均3.6县/a;安徽地区发生了5次大蝗灾事件,这与同时期的干旱密切相关;安徽长江以北地区的蝗灾指数高于南部山区,地形、水旱灾害以及人类活动等因素是影响蝗灾指数分布差异的主要原因。蝗灾对社会产生了复杂深远的影响,是引发饥荒的重要因素,并间接导致瘟疫现象。蝗灾大范围出现后导致短期内米价暴涨,增加社会不稳定性。政府的捕蝗救灾的方式与能力直接影响群众的生存状况,是保障社会稳定的重要机制。综合看来,蝗灾会对农业子系统、经济子系统、社会子系统和技术子系统产生多重影响。     

Coniferization of the mixed‐wood boreal forests under warm climate

Mixed‐wood boreal forests are characterized by a heterogeneous landscape dominated by coniferous or deciduous species depending on stand moisture and fire activity. Our study highlights the long‐term drivers of these differences between landscapes across mixed‐wood boreal forests to improve simulated vegetation dynamics under predicted climate changes. We investigate the effects of main climate trends and wildfire activities on the vegetation dynamics of two areas characterized by different stand moisture regimes during the last 9000 years. We performed paleofire and pollen analyses in the mixed‐wood boreal forest of north‐western Ontario, derived from lacustrine sediment deposits, to reconstruct historical vegetation dynamics, which encompassed both the Holocene climatic optimum (ca. 8000–4000 a bp ) and the Neoglacial period (ca. 4000 a bp ). The past warm and dry period (Holocene climatic optimum) promoted higher fire activity that resulted in an increase in coniferous species abundance in the xeric area. The predicted warmer climate and an increase in drought events should lead to a coniferization of the xeric areas affected by high fire activity while the mesic areas may retain a higher broadleaf abundance, as these areas are not prone to an increase in fire activity. Copyright © 2019 John Wiley & Sons, Ltd.     

基于遥感计算云平台高原山区植被覆盖时空演变研究——以贵州省为例

为揭示喀斯特山区植被时空变化规律,选取2000-2018年间1 748景30 m分辨率Landsat-NDVI影像,结合35个气象站点数据,辅以像元二分模型、线性趋势分析及地理探测器等方法,对贵州省19年间年植被覆盖度进行定量估算,分析其植被覆盖度时空变化特征及驱动因素。结果表明:（1）贵州省中、高植被覆盖度以上的区域面积占比约63%,其中高植被覆盖度区域面积占21.16%,主要集中分布于碎屑岩地区。（2）近19年来,贵州省植被覆盖度总体缓慢趋好,年均增长速率为0.4%,严重石漠化样区多年最大植被覆盖度均值始终低于整体植被覆盖度均值。（3）研究期间贵州省植被覆盖度以轻微改善、基本不变两个等级为主,两者面积比重之和约为95.4%,退化区域主要分布在城镇周边,面积比重约为3.8%。（4）气象因素、地理区位各因子间交互作用对植被覆盖度空间格局影响大于单因子作用。综上所述,城镇面积扩展、石漠化治理工程、地理区位及气象因素等是影响植被恢复与生态环境重建的关键要素,研究植被覆盖度多年动态特征力求为相关部门的水土保持、生态环境保护及石漠化治理提供重要的基础数据及科学参考。      

Spatial and temporal analysis of drought based on a combined index using copula

Drought as a natural disaster impresses people living. The main tool in better management of such phenomena is to explain its characteristics, using drought indices. The indices use precipitation, temperature, streamflow, and other hydrological variables to explain such events. In this study, standardized precipitation index (SPI) and stream-flow drought index (SDI) were used to develop a new combined drought index (CDI) based on copula functions. The proposed index function was evaluated in Khuzestan, Yazd and Golestan provinces of Iran from 1982 to 2012. These areas introduce different climate conditions. The index was analyzed temporally and spatially. In the temporal analysis, CDI was calculated separately for each station and the finest index was chosen by Kolmogorov–Smirnov and Chi-squared tests. In the spatial analysis, CDI was computed for two main scenarios and twenty sub-scenarios for the whole area of Golestan Province. The optimum index was chosen based on comparison with initial SPI and SDI. The results showed that CDI is more meticulous than both singular SPI and SDI, as it can trace a drought onset earlier and drought duration more accurate than the two individual indices and obviously display extreme states.     

西南地区2001-2014年植被变化时空格局

时序植被动态变化研究一直是全球变化研究的热点之一,对地区生态治理有重要意义。基于西南地区2001至 2014年的MODIS植被指数数据集以及DEM数据和土地利用数据,进行季节合成植被指数（SINDVI）的趋势模拟、空间统计和相关分析,探讨西南地区植被变化趋势和空间分异特征,研究结果表明:（1）74.52%的区域SINDVI变化不显著,显著改善的区域占22.07%,而显著退化的区域占3.41%,改善面积远远大于退化面积。（2）从地形因子结果来看,中低海拔地区和缓坡地区植被变化趋势最明显,海拔3 500 m以下植被变化趋势比海拔3 500 m以上明显。随着坡度的增加,改善趋势和退化趋势都在变小。（3）从土地利用分析结果来看,SINDVI变化趋势在人工表面最明显,改善和退化趋势都相对较大。（4）受人类活动的影响,人工表面和裸地的增多、林地的减少是植被呈退化趋势的主要原因。      

Assessment of drought hazard impact on wheat cultivation using standardized precipitation index in Iran

The assessment of drought hazard impacts on wheat cultivation as a strategic crop in Iran is essential for making mitigation plans to reduce the impact of drought. Standardized precipitation index has gained importance in recent years as a potential drought indicator and is being used more frequently for assessment of drought hazard in many countries. In the present study, the calculated standardized precipitation index for 48 stations dataset in the 30-year time scale fulfilled 30 statistical matrices. The drought hazard index map was produced by sum overlaying the spatial representations of 30 statistical matrices and categorized into four levels of low, moderate, high, and very high, which demonstrated probability of drought occurrences of 10–20 %, 20–30 %, 30–40 %, and 40–50 %, respectively. Finally, after the general division of zonal statistics in drought hazard index map of Iran, major drought hazard zones were geographically classified into five zones. The statistical analysis showed a significant correlation (R ²?=?0.701 to 0.648) between drought occurrences and wheat cultivation including surface area and total production for these drought hazard zones.     

Response of vegetation pattern to different landform and water-table depth in Hailiutu River basin,Northwestern China

The spatial distribution of vegetation pattern and vegetation cover fraction (VCF) was quantified with remote sensing data in the Hailiutu River basin, a semiarid area in North China. The moderate resolution imaging spectroradiometer normalized different vegetation index (NDVI) values for 4 years from 2008 to 2011 and field observation data were used to assess the impact of climate factors, landform and depth to water table on vegetation distribution at large scale. In the VCF map, 74 % of the study area is covered with low and low–medium density vegetation, 24 % of the catchment is occupied by medium–high and high-density vegetation, and 2 % of area is bare soil. The relationship between NDVI and climate factors indicated that NDVI is correlated with relative humidity and precipitation. In the river catchment, NDVI increases gradually from landform of sand dune, eolian sand soil to river valley; 92.4 % of low NDVI from 0.15 to 0.3 is mostly distributed in sand dunes and the vegetation type is shrubs. Crops, shrubs and some dry willows dominate in eolian sand soil and 82.5 % of the NDVI varies between 0.2 and 0.35. In the river valley, 70.4 % of NDVI ranges between 0.25 and 0.4, and grass, dry willow and some crops are the main plants. Shrubs development of Korshinsk peashrub and Salix psammophila are dependent on groundwater by analyzing NDVI response to groundwater depth. However, NDVI of Artemisia desertorum had little sensitivity to groundwater.     

基于时间序列植被指数资料的承德市植被覆盖时空演变分析

承德是京津冀地区重要的水源涵养区和防风固沙区,是京津冀生态环境支撑区的重要组成部分,其植被状况将直接影响着区域生态环境质量的改善。基于MOD13Q1时间序列NDVI资料,利用线性回归分析法、像元二分法、稳定性分析法等测度承德市全域2000—2018年植被覆盖时空演变特征,并分析气候、地形等因素对植被覆盖的影响。结果表明:（1）承德市全域植被状况年际变化总体发生了改善,植被生长季夏季的NDVI值最高,月度变化中7月份NDVI值最大,多年均值达到0.775 2。（2）植被年际变化趋势显著性存在空间差异,植被指数极显著增加区域面积最大,占比59.08%,而极显著减少和显著减少的区域面积较小,分别占全域的0.76%和0.58%,主要分布在承德市中部、南部等地区。（3）承德市各区县植被覆盖状况均以较高覆盖度为主,面积达到45 585.69 km2。在多年植被覆盖度稳定性格局中,西北部波动较大,其余大部分地区稳定性好,波动较低。（4）承德市NDVI受5—7月份降水量和月均温的影响较大,植被的长势可能受到了前期气象条件的滞后效应影响。地形特征对承德全域植被覆盖状况也有一定的影响,总体来看承德市地势低平地区的NDVI值相对较低。研究结果可为承德市加强重要区域生态保护、优化国土空间开发格局和科学制定生态修复措施提供参考。     

内蒙古煤炭能源基地植被时空变化

利用Modis数据集250m分辨率植被指数数据分析了鄂尔多斯内蒙古能源基地植被的时空变化特征及其影响因子。研究表明：内蒙古能源基地的植被空间分布从东南至西北递减,其中东北部的准格尔旗、伊金霍洛旗及东胜区植被生长最好。内蒙古能源基地全区总体上植被指数NDVI值不高,植被指数值较低的地区占全区总面积的60％。时间演变上从2000～2008年整体上呈现变好的趋势。植被变好的区域可以占全区总面积的83．7％,植被变差的区域仅占1.39％,主要集中在东北部的准格尔旗、伊金霍洛旗、东胜区,以及局域地势低洼的沟谷地区及湖泊的周边区域。对其影响因子地形、地下水及降水的分析表明,大气降水是影响植被变化的最主要的因素。通过对鄂尔多斯盆地植被演变趋势及影响因子分析,能为能源基地的生态环境保护提供依据,促进人类,以及资源与环境的和谐发展。     

基于水足迹理论与LMDI模型的贵州省水资源利用评价

基于水足迹理论构建区域水资源利用评价指标体系,分析贵州省2000-2017年水足迹时间变化,并采用LMDI模型探讨人口、经济和技术等驱动因素对水足迹变化的影响程度。结果表明:贵州省总水足迹经历了先波动增长后减少再逐渐增加的过程;水资源自给率年均达到97%以上,对外依赖程度较低;水足迹经济效益值逐年增加明显,水足迹土地密度与总水足迹变化趋势一致,而万吨水足迹人口密度则与总水足迹变化趋势相反;水资源压力指数整体维持在40%以上,其中偏枯水年和枯水年水资源压力指数大于70%;人文驱动因素对水足迹变化的影响程度:经济效应＞技术效应＞人口效应,自然驱动因素中降水量是导致水足迹变化的主要因素。      

基于Noah陆面过程模型模拟青藏高原植被和土壤特征对多年冻土的影响

针对青藏高原植被稀疏、土壤颗粒较粗糙的特征,基于Noah陆面过程模型（LSM）,模拟了植被和土壤对整个高原多年冻土分布和关键属性特征（包括活动层厚度和年平均地温）的影响,并通过野外调查数据对模拟结果进行了评估。结果表明：在考虑稀疏植被和粗糙土壤后,改进的Noah LSM对青藏高原多年冻土分布和属性的模拟性能都有所改善;多年冻土面积由原始Noah模型模拟的1.216×10⁶ km²减少到1.113×10⁶ km²,模拟的空间差异主要出现在多年冻土与季节冻土的过渡区及高原南部的岛状多年冻土区;模拟的高原平均活动层厚度由原始Noah模型模拟的2.55 m增加到2.92 m,年平均地温也由-2.17℃增加到-1.65℃。总之,青藏高原稀疏植被和粗糙土壤对多年冻土有重要影响。     

Investigating remote sensing indices to monitor drought impacts on a local scale (case study: Fars province,Iran)

As drought occurs in different climates, assessment of drought impacts on parameters such as vegetation cover is of utmost importance. Satellite remote sensing images with various spectral and spatial resolutions represent information about different land covers such as vegetation cover. Hence, the purpose of this study was to investigate the performance of satellite vegetation indices to monitor the agricultural drought on a local scale. In this regard, satellite images including Moderate Resolution Imaging Spectroradiometer (MODIS) and Advanced Very High Resolution Radiometer (AVHRR) data were used to evaluate vegetation cover and their gradual changes effects on agricultural drought. Fars province in Iran with relatively low precipitation values was selected as the study area. Modified Perpendicular Drought Index (MPDI), MPDI1, Vegetation Condition Index (VCI), Normalized Difference Vegetation Index Anomalies (NDVIA), and Standardized Vegetation Index (SVI), were evaluated to select the remote sensing based index with the best performance in drought monitoring. The performance of such indices were investigated during 13 years (2000–2013) for MODIS and 29 years (1985–2013) for AVHRR. To assess the efficiency of the satellite indices in drought investigation, Standardized Precipitation Index (SPI) data of five selected stations were used for 3, 6, and 9 month periods on August. The results showed that NDVI-based vegetation indices had the highest correlation with SPI in cold climate and long-term timescale (6 and 9 month). The highest correlation values between remote sensing based indices and SPI were acquired, respectively, in 9-month and 6-month time-scales, with the values of 43.5% and 40%. Moreover, VCI showed the highest capability for agricultural drought investigating in different climate regions of the study area. Overall, the results proved that NDVI-based indices can be used for drought monitoring and assessment in a long-term timescale on a local time-scale.