Transformation of vegetation cover on the territory of Azerbaijan during the Pleistocene

We discuss the issue concerning a reduction in the involvement of representatives of the American-East Asian and Mediterranean floras and the formation of the contemporaneous vegetation composition in the Eopleistocene and Neopleistocene in the territory of Azerbaijan. The study revealed a dynamics of the boundaries of altitudinal belts at periods of glaciations and interglacials.     

Primary bioproductivity of mountain landscapes in the system of regional connections (Exemplified by the greater caucasus)

A structural-functional modeling of the mountainous physical-geographical country has been carried out, based on its conceptual representation as an oroclimatic system. The study revealed a statistically reliable mapping of phytobiota productivity onto the coordinates of a multidimensional ecological space, i.e. the mountain morphostructure, hydrothermics and zonal-regional structure of vegetation cover.     

气候变化和人类活动对干旱区植被生产力的影响

在全球变化的背景下,植被生产力发生了一系列的变化,如何定量的评估中国西北干旱区气候变化和人类活动对植被生产力的影响,对于应对气候变化,促进"一带一路"生态建设以及美丽中国建设具有重要的意义。以新疆为研究区,以植被净第一性生产力(NPP)作为评价指标,分析了2001—2016年气候变化和人类活动对植被恢复和退化的影响。结果表明:(1)从2001—2016年,植被NPP有明显变化趋势的面积占植被覆盖区总面积的34.02%,其中30.58%的面积呈现恢复趋势,3.44%的面积呈现退化趋势,NPP平均每年增加634 Gg C·a^-1(Gg=10⁹ g)。(2)由人类活动和气候变化引起植被恢复的面积占植被NPP变化总面积的42.03%和30.58%;在上述两个区域,NPP平均每年增加量分别为319 Gg C·a^-1和59 Gg C·a^-1。由人类活动和气候变化引起植被退化的面积占NPP变化总面积的57.63%和19.45%;其中,在上述两个退化区域,NPP平均每年分别减少68 Gg C·a^-1     

乡村人口迁出对生态脆弱地区植被覆被的影响——以内蒙古自治区为例

生态脆弱地区的生态环境状况改善和治理一直是各级政府部门和学者关注的焦点问题。过去10余年,中国城镇化进程发展迅速,生态脆弱地区乡村劳动力大量迁出。那么劳动力人口迁出会在多大程度上影响脆弱地区植被覆被状况的变化呢?本研究利用2000-2010年的NDVI数据、气象观测数据和社会经济数据,采用趋势线分析、显著性检验和多元回归分析等方法,对内蒙古地区植被覆被状况的变化进行了分析,并在县级尺度上定量评估了乡村劳动力人口迁移对区域植被覆被状况的影响。结果表明：① 2000-2010年,内蒙古自治区植被覆被总体呈上升趋势,其中超过28%的地区植被覆被状况显著改善,只有约2%的地区存在较强的退化趋势;② 植被覆被显著退化的地区呈条带状分布于内蒙古自治区中部农牧交错带北部边缘;植被覆被显著改善的地区主要位于内蒙古自治区的东南部与西部地区;③ 2000-2010年,农业劳动力对植被覆被状况的影响已经超过了气候等自然因素的作用,农业劳动力迁出对植被覆被状况提高有显著的促进作用。     

Land use dynamics and land cover structure change in Thailand (as exemplified by mountainous Nan Province

Changes in the land use pattern and in the land cover structure for the time interval 1995–2012 in Thailand are considered by using, as an example, Nan Province located in the northern mountainous part of the country. Interpretation of satellite images and vector data that were provided by the Land Development Department (Thailand) revealed the main directions of change in the region’s land use: deforestation, expansion of areas under crops, transition from slash and burn cultivation to permanent cultivation, and intensive utilization of agrochemicals. In spite of a decrease in the deforestation rate across Thailand in general, it is shown that for the period under review the proportion of natural forests in Nan Province decreased by nearly one half. On the other hand, the agricultural lands increased for the same period by more than 50%. The highest deforestation rates were recorded during 2009–2012. It was found that the changes in the land use pattern disturbed the existing centuries-old balance of man–natural environment interaction within the framework of the traditional system of slash and burn agriculture which is well adapted to local conditions. The study revealed the chief causes for such changes: an ineffective monitoring of forests; an unclear character of the boundaries separating lands of rural communities and protected territories, and possibilities for sales of commercial products (maize, cassava, etc.) cultivated in illegal fields. It is shown that rapid changes in land cover due to deforestation and plowing of mountainous areas for cultivation of commercial crops led to an intensification of slope processes (landslides and solifluction), an increase in overland runoff, and to an enhanced hazard of heavy floods during the monsoon season. To keep track of deforestation and deal with nature management conflicts requires a continuous monitoring of the land cover dynamics.     

干旱区稀疏芦苇盖度遥感信息提取

选择对角线法、之字型法、随机采用法及全采样法提取干旱区稀疏芦苇覆盖度,对比分析不同采样方法获取参数的精度,同时结合遥感影像,采用线性混合像元分解模型、亚像元变密度分解模型、三波段最大梯度差模型提取样地覆盖度信息,与地面实测覆盖度参量信息进行对比分析,探讨适宜的干旱区植被盖度野外监测方法及遥感模型。研究表明:对角线法及之字型法所获取参数可以满足样地总体植被覆盖度参数精度要求;地面验证结果表明:2006年线性混合像元分解模型所提取的覆盖度精度最高,为19.72%,与地面实测值20%最为接近,证明该模型可有效提取干旱区低覆盖度植被信息,但端元的正确选取较难,从而影响其运用;亚像元分解模型预测值为22.30%,高于实际覆盖度值,绝对误差为11.5%;而三波段最大梯度差法模型与实测值相差最大,绝对误差达到了-75%,说明该模型对于极端干旱区稀疏植被敏感度低。     

干旱对河西走廊植被净初级生产力的影响

干旱对生态系统碳循环具有重要影响,随着气候变暖,全球干旱事件频率不断上升,研究干旱对植被净初级生产力的影响具有重要意义.提高植被净初级生产力(NPP)的时间分辨率是认识干旱对其影响机制的重要途径.基于5天NDVI遥感数据,以河西走廊为研究区,利用CASA模型估算2010-2015年5天步长尺度的NPP,将5天降水为零定...     

The restoration of vegetation cover in the semi-arid Iberian southeast

Semi-arid landscapes in the western Mediterranean have been used for millennia, resulting in large-scale transformations and widespread degradation. In some instances, these degraded environments have been unable to recover spontaneously, and ambitious restoration programs have been launched over the last decades to improve landscape conditions. Ecological restoration may speed up succession, promote more complex communities and increase their functionality. But uncertainty in the definition of restoration objectives, failure to identify most efficient practices and, particularly, socio-economic and cultural constrains may compromise future actions. Here, we review recent advances in the restoration of semi-arid vegetation cover in the Iberian southeast, discuss future challenges and suggest two key steps towards increasing the consistency and efficiency of restoration programs: emphasis on ecosystem services, and implementation of participative and adaptive management practices.     

Changing climate affects vegetation growth in the arid region of the northwestern China

The northwestern China is a typical dry-land region of Inner Asia, where significant climate change has been observed over the past several decades. How the regional vegetation, particularly the grassland-oasis-desert complex, responds to such climatic change is poorly understood. To address this question, we investigated spatio-temporal changes in vegetation growth and their responses to a changing climate by biome and bioregion, using satellite-sensed Normalized Difference Vegetation Index (NDVI) data from 1982 to 2003, along with corresponding climate data. Over the past 22 years, about 30% of the total vegetated area showed an annual increase of 0.7% in growing season NDVI. This trend occurred in all biomes and all bioregions except Sawuer, a subregion of the study area with no significant climate change. Further analyses indicated that NDVI change was highly correlated with the current precipitation and evapotranspiration in growing season but was not associated with temperature. We also found that NDVI was positively correlated with the preceding winter precipitation. These findings suggest that precipitation may be the key cause of vegetation growth in this area, even for mountain forests and grasslands, whose growth are often regarded to be limited by low temperate in winter and early spring.     

Structure of vegetation cover in the western part of the Upper-Angara depression

Presented are the results from studying and mapping the vegetation in the Upper-Angara depression. We suggest the technique for mapping plant communities involving a combined use of the NDVI and NDWI indices, the SRTM-based digital elevation model, forest management data, and expedition-based research findings.     

黄土高原植被覆盖度变化的地形分异及土地利用/覆被变化的影响

基于16 d合成MODIS NDVI数据提取的时间序列植被覆盖度数据,采用一元线性回归趋势分析,对黄土高原2000-2008年植被覆盖度的时空变化及其地形分异、土地利用/覆被变化的影响进行了定量分析。结果表明：（1）研究时段黄土高原植被覆盖度整体呈快速上升趋势,局部下降;（2）黄土高原植被覆盖度变化存在明显的地形分异,陡坡等植被恢复、重建和保育的主要区域植被覆盖度增速显著;（3）土地利用/覆被变化对植被覆盖度的增加影响突出,土地利用/覆被类型变更区植被覆盖度增速显著高于未变化区域,退耕还林还草区增速尤其突出;（4）土地利用/覆被类型未变化区域植被覆盖度总体上也呈增加趋势,但因植被覆盖度水平相对较高,增速明显低于土地利用/覆被类型变化区。上述结果表明,黄土高原植被保育、植被恢复和重建在植被覆盖度提升方面取得了明显成效。     

Classification of river basins and hydrological regionalization (as exemplified by Japan)

A set of problems related to formation of areas homogeneous in hydrological aspect is considered. A methodology of regionalization is proposed. New analytical methods of the methodology are intended of solving such problems as (i) the problem of regionalization and (ii) the problem of constructing of a classification for river drainage basins. Efficiency of the methods proposed has been tested on the problems, which arise in the process of constructing classifications for river drainage basins, and also on the problem of territorial regionalization of Japan islands. Investigations, which presume obtaining a set of morphometric and hydrographic characteristics of catchment areas, allow one to study conditions of extreme inundations. It has been discovered that boundaries of the areas have striking similarities in the spatial location of geological structures. Furthermore, these are coincide with the boundaries of the main tectonic fields.     

Modeling elements and geographical factors of formation of the monthly runoff as exemplified by the Kuda river

We have formulated the main principles of constructing the model for a seasonal cycle of the runoff with a temporal resolution of one month. We worked out the elements of technology for the first stages of model making. Based on analyzing the local data on monthly characteristics of the runoff, precipitation and temperature, we formulated and verified a number of hypotheses about the physicalgeographical patterns of formation of seasonal and interannual variability in water flow rates for three river discharge sections within the Kuda river basin. The most important factors have been determined, which govern the observed values of monthly mean flow rates.     

Cartographic approach in studying the structure and dynamics of geosystems as exemplified by the middle Ob region

The structure and dynamics of geosystems in the northwestern part of Western Siberia is considered using the Kazym-Lyamin interfluve, based on the landscape-assessment map for the middle part of the Khanty-Mansi Autonomous District. The study used the landscape structural-dynamical approach and the methods of studying the spatio-temporal dynamics of taiga geosystems.     

基于遥感的民勤绿洲植被覆盖变化定量监测

基于混合像元条件下的TM影像植被覆盖度遥感反演,定量研究了甘肃省民勤绿洲1987年至2001年植被覆盖时空变化的规律与特点。结果表明,15年中,民勤绿洲的植被覆盖发生了很大的变化,农田植被(耕地)面积增加了53.11%,而中、高盖度植被的面积却减少了25.21%,这对民勤绿洲的长久生态安全构成了严重的威胁。民勤绿洲植被覆盖变化的空间转化过程复杂,但总体属于开垦—植被退化型。15年中因开垦和植被退化而损失的中、高盖度植被达42204.81hm2,占原面积的81.73%,而且损失的主要是绿洲边缘的防风固沙植被,其中因开垦损失的面积为18776.08hm2,占损失面积的44.5%。超采地下水引起的地下水位快速下降是导致绿洲边缘天然和人工灌丛植被退化的主要原因。控制开垦并培育相对稳定的灌丛型植被,应该是研究区生态环境建设的重点。     

宁夏中部干旱带盐池县植被生态需水规律研究

以宁夏中部干旱带盐池县为研究对象,对区域植被生态需水的内涵及类型划分进行了分析,并结合彭曼-蒙特斯模型逐月估算了区域林草植被潜在蒸散量,采用Jensen公式结合实测的区域土壤特征曲线确定了土壤水分修正系数,为植被生态需水量的确定奠定了基础。通过对不同类型林草植被生态需水占比分析,可知当前盐池县草地的生态需水量远高于林地,是盐池县生态需水的主体。通过对植被生态需水与降雨平衡的时间变化规律分析可知,除7、8、9月份以外,盐池县各类林草植被生态需水均处于严重亏缺状态,其中缺水量最为严重的是4月份;从植被类型上分析,可知林地中无论是生态需水亏缺量还是盈余水量均以灌木林地为最,而草地中以天然草地为最。进一步对盐池县各生态分区需水特征进行分析,可知一级生态分区中,风沙区的生态需水比例远大于黄土丘陵区;二级生态分区生态需水比例由大到小依次为花马池镇、王乐井乡、大水坑镇、高沙窝镇、惠安堡镇、冯记沟乡、青山乡、麻黄山乡。一级生态分区中风沙区的生态需水系数及生态需水模数均大于黄土丘陵区;二级各生态分区中生态需水系数及模数由大到小依次为花马池镇、王乐井乡、大水坑镇、惠安堡镇、高沙窝镇、青山乡、冯记沟乡,最小为麻黄山乡。盐池县降雨消耗性生态需水量最小值占蒸发总量的比例为30.51%,适宜值占蒸发总量的比例为72.91%,比例都比较高,其余的的蒸发量属于无效蒸发水量,仍然占有一定的比重,这依然为区域植被建设留有一定的空间,但要通过合理的水资源调控手段进行调配。     

估算干旱区地下水依赖型植物蒸散发的White法评述

日尺度上的地下水位波动是干旱区地下水依赖型植物蒸散消耗地下水的直接证据与指示。White通过分析日尺度地下水位波动与植被蒸散之间的关系,提出了利用地下水位观测数据来计算植被蒸散速率的方法,简称White法。该方法由于计算简单,所需数据少,在干旱区河岸林蒸散定量方面得到了广泛的应用。本文通过系统回顾White法的提出、“四大假设条件”及其在实际应用中的不足,梳理了近年来对White法不断修订的总体思路,总结了各种形式White法的特点、使用条件以及存在的主要问题;在此基础上,提出了White法进一步改进的方向。当前,结合地表蒸散发的多尺度观测与模拟,White法不仅可以用来估算区域尺度地下水蒸散,而且能够为定量解析干旱区植物的水分利用来源提供验证与参考。     

Integrating models of soil dynamics,animal behaviour and vegetation response for the management of arid lands

As the low return from arid rangelands greatly limits the prospects for the treatment of eroded areas the regulation of grazing to maintain an adequate vegetation cover is essential. Techniques currently being developed to recognise the attributes of eroding systems and to model their behaviour over space and time are outlined here. Such models of the interaction of soils, plants and animals allow land managers to locate critical areas within a landscape.     

照相法测量冬小麦覆盖度的图像处理方法研究

植被覆盖度是重要的农学和生态学参数,对水文、生态、全球变化等研究具有重大意义。数码照相法作为一种方便快捷、精度较高的地面测量方式,在科学研究中得到了广泛的应用。目前照相法测量植被覆盖度的图像处理方法可以分为彩色空间判别法和图像分类法两类。通过对冬小麦覆盖度的连续监测,对不同植被分类判据进行了对比分析,结果表明基于RGB和HLS彩色空间算法的判据具有一致性。基于景合成模型的最大似然分类方法突破了传统分类方法将图像仅分为植被与非植被两类的限制,将图像分为叶片耀斑、光照叶片、阴影叶片、光照土壤和阴影土壤5个组分,具有较高的估算精度,可以作为照相法进行覆盖度估算的首选方法。