川西亚高山植被恢复过程中的土壤和地被物水源涵养能力评价

运用以空间代替时间,以糙野青茅草地、柳树灌丛、白桦林、混交林、冷杉林为植物自然恢复的序列,采用环刀法和实地调查-水浸法研究了川西亚高山植被恢复过程中土壤和地被物的持水能力。结果表明：土壤容重随深度增加而加大、随植被恢复而降低;土壤持水能力随深度增加而降低、随植被恢复而增加,表现为混交林>冷杉林>柳树灌丛>白桦林>草地;地被物储量及其持水能力随植被恢复极显著增加,其组成由草地的凋落物为主到冷杉林时以苔藓为主;生态系统土壤和地被物的持水能力随着恢复而显著提高,表现为混交林>冷杉林>柳树灌丛>白桦林>草地。因此,亚高山植被自然恢复能显著增加区域生态系统的土壤和地被物持水,适度增加阔叶树亦有利于促进川西亚高山恢复植被的土壤持水     

基于土壤侵蚀模型的滑波临界雨量估算探讨

针对滑坡临界雨量确定目前存在的问题,提出一种基于土壤侵蚀模型的滑坡临界雨量估算的新方法。该方法基本思路是：降雨引起土壤侵蚀,当土壤侵蚀达到一定强度时可诱发滑坡,因此利用土壤侵蚀模型可以推算滑坡临界雨量。以湖北省秭归县为例进行试验,从降雨-土壤侵蚀-滑坡的成灾机理入手,利用卫星资料、地理信息资料及降雨资料,计算降雨侵蚀力、土壤可蚀性、地形（坡长、坡度）、植被覆盖和土地利用类型等因子,基于USLE土壤侵蚀模型,计算滑坡发生时土壤侵蚀强度,通过分析多个滑坡个例,确定滑坡临界土壤侵蚀强度,再根据降雨侵蚀力与降雨量之间的关系,推算不同预警点滑坡临界雨量。相比以往仅仅分析灾情与降雨之间关系的传统方法,该方法有较为清晰的物理意义,实际业务中也易于实现,在滑坡预警预报中有较高实用价值     

Local and global factors in organization of Central-European orthopteran assemblages

Our case study revealed that organization of the studied local assemblages is dominated by mechanisms uniform globally, from which in Central-Europe (1) vegetation height, (2) overall vegetation cover, (3) cover of the dicotyledonous and mesophilous monocotyledonous species, (4) microclimate, (5) annual rainfall and (6) insolation in April have main importance. Life-form- and ecotype-structure of the assemblages in habitats characterized by similar vegetation-structure and microclimate seem to be conservative at Eurasian scale, but species-composition of the local variants is determined by individual effects of zoogeography, landscape structure, landuse and habitat-history.     

Changes in Vegetation Cover and Socio-Economic Transitions in a Coastal Lagoon (Kalametiya, Sri Lanka), As Observed by Teledetection and Ground Truthing, Can be Attributed to an Upstream Irrigation Scheme

According to some non-scholarly reports, Kalametiya lagoon (dry zone of southern Sri Lanka, formerly 8.9 km², now 7.5 km²) had been a moderately or high salinity water body and a very important centre of prawn fishery until the late 1960s. Most of the lagoon area had remained open water until then. An upstream irrigation project, the Udawalawa irrigation scheme, came into operation in 1967, increasing the freshwater inflow to the lagoon. The flora, fauna and water quality of the lagoon was reported to have changed since then.The lagoon now is a shallow coastal water body with low salinity water. More than 75% of the lagoon is covered by freshwater species or mangrove species characteristic for water with a low salinity: Eichhornia crassipes, Typha latifolia resp. Sonneratia caseolaris. There is actually no commercially important fishery in the lagoon.The present study was carried out to assess scientifically the said changes in the vegetation within a GIS, using aerial photographs taken in 1956 and 1994 and IRS IC, PAN+LISS III satellite images of 1997 in combination with ground surveys and information from a questionnaire-based survey.It appeared from this work that the aerial cover by Sonneratia caseolaris has increased by more than 30 times over the period from 1956 to the recent dates. Also, the lagoon area with open water has been drastically reduced during the same period as a result of spreading of freshwater and low salinity plant species. The results strongly suggest that the locally reported changes (fisheries decline, water salinity decrease) can be corroborated by the observed profound changes in plant cover and that upstream water works may have had strong impacts on this ecosystem, thus causing these changes.This study couples data obtained from retrospective aerial photograph series, from spaceborne imaging, from actual ground surveys and from questionnaires amongst elderly people to reconstruct decadal environmental change, thus attempting to fill the gap of lacking historical environmental data.     

The influence of socioeconomic, environmental, and demographic factors on municipality-scale land-cover change in Mexico

Land-cover change is the result of complex multi-scale interactions between socioeconomic, demographic, and environmental factors. Demographic change, in particular, is thought to be a major driver of forest change. Most studies have evaluated these interactions at the regional or the national level, but few studies have evaluated these dynamics across multiple spatial scales within a country. In this study, we evaluated the effect of demographic, environmental, and socioeconomic variables on land-cover change between 2001 and 2010 for all Mexican municipalities (n?=?2,443) as well as by biome (n?=?4). We used a land-cover classification based on 250-m MODIS data to examine the change in cover classes (i.e., woody, mixed woody, and agriculture/herbaceous vegetation). We evaluated the trends of land-cover change and identified the major factors correlated with woody vegetation change in Mexico. At the national scale, the variation in woody vegetation was best explained by environmental variables, particularly precipitation; municipalities where woody cover increased tended to be in areas with low average annual precipitation (i.e., desert and dry forest biomes). Demographic variables did not contribute much to the model at the national scale. Elevation, temperature, and population density explained the change in woody cover when municipalities were grouped by biome (i.e., moist forest, dry forest, coniferous forest, and deserts). Land-cover change at the biome level showed two main trends: (1) the tropical moist biome lost woody vegetation to agriculture and herbaceous vegetation, and (2) the desert biome increased in woody vegetation within more open-canopy shrublands.     

Ranking Agricultural Sub-basins for Environmental Protection

Abstract

Reconstructing long-term vegetation buffers along streams in agricultural landscapes has become a common environmental restoration strategy for improving water quality and wildlife habitat connectivity. This article developed a linear weighted model to rank the priority of agricultural sub-basins for the establishment of vegetative buffers. The method was applied to an agricultural watershed of 146 km² in Ontario, Canada. The watershed was divided into 11 sub-basins as basic decision units. In each subbasin, four stream buffer schemes with widths of 5, 10, 15 and 20m were generated. For each buffer, three benefit-cost attributes of reconstructing vegetation cover were estimated, which include acreage per dollar, sediment abatement per dollar and habitat benefit per dollar. These attributes were first normalized using a linear normalization approach to eliminate the effects across different units. The normalized attributes were then integrated using a simple additive weighting method to rank the 11 sub-basins for prioritizing spatial restoration action. A sensitivity analysis was also conducted to observe the impact of a change in attribute weights on the management decisions. The results suggest that vegetation buffers reconstructed for achieving the water quality goal are not effective in improving habitat connectivity and vice versa.     

三峡库区不同退耕还林模式水土流失特征及其影响因子

三峡库区为国家水土保持重点防治区,土地利用/覆盖变化（LUCC）与水土流失的关系已成为水土流失治理研究的关注重点之一,退耕还林工程的水土保持效益对于库区生态环境的建设具有重要意义。通过对库区典型退耕还林模式的水土流失的监测,分析其不同降雨条件下水土流失特征及影响因子,结果标明：（1）退耕还林后库区的水土流失问题得到了有效控制,退耕还林后各土地利用类型的年地表径流量下降了70%~95%,泥沙流失量则比农田降低了97%以上,其中乔木林和竹林对水土保持的效果最为理想;（2）退耕还林后各土地利用类型年地表径流量与降雨量呈较好的指数关系,随着降雨量的增加而增加。除农田和板栗林外,各土地利用类型年地表径流量与雨强关系不显著;（3）泥沙流失量与降雨量和降雨强度的关系均不显著;（4）各土地利用类型地表径流的80%以上,泥沙流失量的95%以上都是发生在暴雨条件下,暴雨事件成为库区水土流失的主要气候影响因素;（5）凋落物层盖度是控制退耕还林各模式地表径流的主要因素,各土地利用类型的年地表径流量均随着凋落物层盖度的增加而显著降低     

基于MODIS像元尺度的三峡库区植被覆盖度变化的地形分布特征

区域植被覆盖变化监测是研究资源环境承载力的基础，其对区域可持续发展至关重要。基于MODIS NDVI数据，采用像元二分模型计算了2001~2018年三峡库区植被覆盖度，结合植被覆盖度变化类型提取模型及分布指数，揭示了库区植被覆盖度变化在不同地形因子上的分布特征。研究表明：（1）三峡库区植被以高和中高覆盖度为主，其分别占库区总面积的65.72%和28.61%。18年来，库区年均植被覆盖度增长率为0.14%；（2）库区植被稳定类型占总面积的79.50%，植被改善占16.71%，植被退化占3.79%。26个区（县）中，长寿区、江北区等7区的植被改善面积小于植被退化面积，存在生态退化风险；（3）高程小于500 m、坡度小于6°的区域植被退化优势显著；高程500~1 100 m的区域植被改善为主导类型；坡度6°~15°的区域无明显优势分布；高程大于1 100 m、坡度大于15°的区域植被稳定和植被改善类型为优势分布；（4）库区不同坡向上，平坡上的植被退化类型显著，当坡向由阴坡向阳坡转变（西坡→南坡，北坡→东坡）时，植被覆盖度变化优势分布类型由植被退化型转变为植被改善型。研究结果揭示了三峡库区植被覆盖的空间分布和变化特征，对库区生态环境评价和植被恢复及保护具有一定的借鉴意义。     

近34年祁连山南坡植被覆盖变化与气象因子关系研究

基于1982~2015年GIMMS NDVI数据，通过趋势线法和相关性分析方法，对祁连山南坡植被覆盖变化及影响因素进行分析。研究结果表明：（1）祁连山南坡植被覆盖整体呈显著上升趋势，线性回归增速为0.99%/10 a；各季节平均NDVI依次为夏季>秋季>春季>冬季， NDVI变化斜率排序依次为冬季>夏季>秋季>春季； NDVI月变化趋势基本一致，夏季NDVI在2004~2015年最大。（2）近34年来，祁连山南坡大部分区域属于常绿区域，三时间阶段植被增加面积整体表现出增加-减少-增加趋势，且在2004~2015年之间植被增加面积最大，占比为92.66%，增加速度最快的区域在门源县境内。（3）在影响因素方面，研究区NDVI与气温的相关性（0.58）大于降雨的相关性（0.27），研究区生长季 (4~9月)植被覆盖受气温和降水共同影响。     

Landslide probability mapping by considering fuzzy numerical risk factor (FNRF) and landscape change for road corridor of Uttarakhand,India

Landslide poses severe threats to the natural landscape of the Lesser Himalayas and the lives and economy of the communities residing in that mountainous topography. This study aims to investigate whether the landscape change has any impact on landslide occurrences in the Kalsi-Chakrata road corridor by detailed investigation through correlation of the landslide susceptibility zones and the landscape change, and finally to demarcate the hotspot villages where influence of landscape on landslide occurrence may be more in future. The rational of this work is to delineate the areas with higher landslide susceptibility using the ensemble model of GIS-based multi-criteria decision making through fuzzy landslide numerical risk factor model along the Kalsi-Chakrata road corridor of Uttarakhand where no previous detailed investigation was carried out applying any contemporary statistical techniques. The approach includes the correlation of the landslide conditioning factors in the study area with the changes in land use and land cover (LULC) over the past decade to understand whether frequent landslides have any link with the physical and hydro-meteorological or, infrastructure, and socioeconomic activities. It was performed through LULC change detection and landslide susceptibility mapping (LSM), and spatial overlay analysis to establish statistical correlation between the said parameters. The LULC change detection was performed using the object-oriented classification of satellite images acquired in 2010 and 2019. The inventory of the past landslides was formed by visual interpretation of high-resolution satellite images supported by an intensive field survey of each landslide area. To assess the landslide susceptibility zones for 2010 and 2019 scenarios, the geo-environmental or conditioning factors such as slope, rainfall, lithology, normalized differential vegetation index (NDVI), proximity to road and land use and land cover (LULC) were considered, and the fuzzy LNRF technique was applied. The results indicated that the LULC in the study area was primarily transformed from forest cover and sparse vegetation to open areas and arable land, which is increased by 6.7% in a decade. The increase in built-up areas and agricultural land by 2.3% indicates increasing human interference that is continuously transforming the natural landscape. The landslide susceptibility map of 2019 shows that about 25% of the total area falls under high and very high susceptibility classes. The result shows that 80% of the high landslide susceptible class is contained by LULC classes of open areas, scrubland, and sparse vegetation, which point out the profound impact of landscape change that aggravate landslide occurrence in that area. The result acclaims that specific LULC classes, such as open areas, barren-rocky lands, are more prone to landslides in this Lesser Himalayan road corridor, and the LULC-LSM correlation can be instrumental for landslide probability assessment concerning the changing landscape. The fuzzy LNRF model applied has 89.6% prediction accuracy at 95% confidence level which is highly satisfactory. The present study of the connection of LULC change with the landslide probability and identification of the most fragile landscape at the village level has been instrumental in delineation of landslide susceptible areas, and such studies may help the decision-makers adopt appropriate mitigation measures in those villages where the landscape changes have mainly resulted in increased landslide occurrences and formulate strategic plans to promote ecologically sustainable development of the mountainous communities in India's Lesser Himalayas.

     

Application of remote sensing techniques toward the role of traditional water bodies with respect to vegetation conditions

Sri Lanka being an agrarian country, the role of water is important for agricultural production. In Sri Lanka, various tank cascade systems, earthen dams and distribution canals have been accepted as few of the most complex ancient traditional water systems of the world. Rainfall, surface water, groundwater and runoff are linked with each other, they have close interactions to land cover classes such as forests and agriculture. The monitoring of vegetation conditions can show subsurface manifestations of groundwater. In this study, an effort to understand the role of traditional water reservoirs and groundwater recharge was made using remote sensing techniques. We have analyzed various vegetation indices such as Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI-2), Soil-Adjusted Vegetation Index (SAVI), tasselled cap transformation analysis (TCA brightness, greenness and wetness) and their relations with the existence of soil, vegetation and water. Result shows that EVI, SAVI, and TCA-based Greenness Index indicates good relationship with the vegetation conditions as compared to other indices. Therefore, these indices could play a crucial role in depicting the interaction between soil, vegetation, and water. However, multi-temporal observations can provide significant results about these interactions more accurately.     

基于时序植被指数的湖北省物候空间特征分析

湖北省地貌类型多样,植被类型丰富,也是农业大省,物候信息监测对于自然生态和农业生产具有重要意义。使用MODIS MOD13Q1 产品中的归一化植被指数数据集,运用时间序列谐波分析法重构 NDVI时序曲线,并结合土地覆被数据,采用物候特征动态阈值法获取湖北省植被物候空间分布特征,分析不同土地覆被类型的物候指标。结果表明：(1)湖北省西部山区、东南部和东北部丘陵地区,多为自然植被覆盖,且植被状况良好,NDVI最大值达到0.75以上,大部分区域NDVI最小值在0.6以上。中部江汉平原和农作物区域NDVI变化受农业耕种方式影响较大,与自然植被NDVI变化特征有所差异。(2)不同土地覆被类型物候特征各异。湖北省大部分区域的植被在2月到3月进入生长季,11月到12月结束生长,襄阳地区呈现相反的特征。耕地、裸地、水体等受人类影响较大的土地覆被类型生长季长度较短,开始时间较晚,结束较早。森林、草地、灌丛等自然植被生长季长度较长,开始较早、结束较晚。(3)物候参数由于地形地貌、地表覆被类型、人类和自然因素的影响具有显著的差异,对区域植被生态状况、不同土地覆被类型物候空间分布特点的分析,结果对于植被生态保护、植被分类、农业区划等都具有参考意义。     

Environmental implications of changes in the levels of lakes in the Ethiopian Rift since 1970

The Ethiopian rift is characterized by a chain of lakes of various sizes and hydrological and hydrogeological settings. The rift lakes and feeder rivers are used for irrigation, soda extraction, commercial fish farming, and recreation, and they support a wide variety of endemic birds and wild animals. The levels of some of these lakes have changed dramatically over the last three decades. Lakes that are relatively uninfluenced by human activities (Langano and Abaya) remain stable except for the usual inter-annual variations, strongly influenced by rainfall. Some lakes have shrunk due to excessive abstraction of water; others have expanded due to increases in surface runoff and groundwater flux from percolated irrigation water. Lakes Abiyata and Beseka, both heavily impacted by human activities, show contrasting lake level trends: the level of Abiayata has dropped by about 5 m over three decades because of the extraction of water for soda and an upstream diversion for irrigation. Beseka has expanded from an area of 2.5 to 40 km² over the last three decades because of increased groundwater inputs from percolated irrigation water. Lake Awassa has risen slightly due to land use changes resulting in increased runoff in its catchment. This paper addresses these lake level changes and their environmental repercussions, based on evidence from hydrometeorological records, hydrogeological field mapping supported by aerial photography and satellite imagery interpretations, water balance estimation, and hydrological modeling. A converging evidence approach is used to reconstruct the temporal and spatial variations of lake levels. The results reveal that the major changes in the rift valley are mainly related to anthropogenic factors. These changes appear to have grave environmental consequences for the fragile rift ecosystem. These consequences demand the very urgent implementation of integrated basin wide water management practice.     

The Role of Floodplain Soils as a Barrier to Radionuclide Migration: An Example of the Techa–Iset' River System

The contents of ⁹⁰Sr and ¹³⁷Cs and the pattern of their redistribution in the soil and plant cover of floodplain ecosystems have been assessed. It is shown that the radionuclide distribution across the floodplain and along the river flow is determined by the formation of a barrier to their migration near the river channel, at which less mobile ¹³⁷Cs accumulates. The soil and plant cover of the central floodplain are enriched with ⁹⁰Sr. Differences in radionuclide migration in floodplain soils and their input into plants are determined by the relationship between the processes of their immobilization and migration with soil water.     

基于时序NDVI的湖北省植被覆盖动态变化监测分析

基于1998～2011年7、8月份SPOT VEGETATION NDVI数据,求取两月份NDVI平均值,构建14 a间的NDVI时序文件,通过对NDVI时序文件进行信息提取、分析,反映湖北省植被生长情况,从而监测、研究湖北省植被生长高峰期植被覆盖动态变化及趋势。具体为：利用植被覆盖分区法,将研究区分为弱植被覆盖区、稀疏植被覆盖区、低植被覆盖区、中植被覆盖区、高植被覆盖区和密集植被覆盖区等区域,监测各区域14 a间植被覆盖动态变化,结果表明,研究区整体上植被覆盖变化不大;利用Mann Kendall趋势分析法,对研究区植被覆盖变化趋势进行研究,结果表明绝大部分呈现无明显变化趋势,1655%的区域表现增加趋势,033%的区域表现减少趋势。通过以上分析结论可知,植被覆盖分区法和Mann Kendall趋势分析法的分析结果基本一致,表明两种方法能从植被覆盖状况和变化趋势角度动态反映植被的变化情况     

Effects of radionuclide and rainfall characteristics on field loss parameters of grass

The decrease of foliar activity in vegetation after its initial contamination by foliar deposition is termed “field loss” (Chamberlain, 1970). This work investigated further laboratory data concerning field loss of ¹³⁴Cs, ¹³⁷Cs, ⁸⁵Sr, ¹³³Ba and ^123mTe deposited on grassland (Madoz-Escande et al., 2005). Treatments consisted in rainfall scenarios cumulating 14 mm per week, combining two levels of intensity (8 or 30 mm/h) and two levels of frequency/precocity (late once or early twice-a-week). The time course of field loss was monitored in the edible tissues which were sampled by mowing between the rainfalls. Data were analyzed with an offset exponential loss model which is applicable to chronic contamination and is consistent with approaches adopted in radiological assessment models. Its parameters were estimated by the maximum-likelihood method, and their accuracy was determined by nonparametric boostrap. Radionuclide and rainfall conditions significantly affected the estimated rate (λ₁) and extent (A₁) of field loss. Field loss rate (λ₁) and nonentrainable fraction (1 − A₁) varied by a factor 1.5–3. Cesium was very mobile but persistent. On the contrary Tellerium was found less labile, but eventually was almost completely eliminated. Strontium and Barium had intermediate behaviors. Field loss was more efficient for moderate late once-a-week rainfalls (8 mm/h). Higher rainfall intensity reduced more the radionuclides losses than higher rainfall frequency/precocity. This paper reports statistically relevant effects that should be considered for more realistic assessments.     

近十年重庆市NDVI变化及对气温降水的旬响应特征分析

在利用SPOT VGT NDVI旬数据、重庆市及周边20个气象站点1999~2010年日气温与降水数据以及研究区相关图件资料的基础上,运用均值法、差值法、趋势线分析和时滞互相关分析法分析重庆市NDVI变化的时空特征及旬平均NDVI与旬均温和旬降水的相关性以及时滞情况。结果表明：1999~2010年重庆市NDVI呈稳步上升趋势;NDVI下降的区域主要集中在渝西北、渝东北、渝南等三峡库区的外围;NDVI与气温和降水之间存在较强的相关性,且NDVI与气温较与降水之间的相关性更强,表明在研究区气温对NDVI的影响大于降水;NDVI与气温和降水之间的相关性和时滞情况存在明显的东南-西北差异,东南地区时滞较长、相关性低,西北地区时滞较短,相关性高;各植被类型NDVI与气温和降水的相关程度高低以及响应速度的快慢决定于各植被类型的生长发育规律及其对气温或降水要求的高低     

Climate Variability and Deforestation—Reforestation Dynamics in the Philippines

Changes in the conditions in the 'warm pool' in the Pacific region are reflected in the changes in the local climate system of the Philippines. Both El Niñno and La Niñna episodes in the Pacific Oceans introduce high variability into the local climate pattern, especially rainfall, in the Philippines. Whereas El Niñno appears when annual rainfall is ≥10% lower than normal annual rainfall, La Niñna occurs when annual rainfall is at least equal to the normal. About 15.7 million ha of forest cover had been lost between 1903 and 1998, but only 1.64 million had been reforested in the same period, indicating the presence of unbelievably low ecological stability. Apart from this, the denuded forests freed about 8.24 × 10⁹ Mg C into the atmospheric greenhouse pools. Neither deforestation nor reforestation was undertaken with deliberate regard to the occurrences of El Niñno or La Niñna. Very high rates of deforestation were observed to coincide with or precede strong El Niñno or Niñna episodes, thus confounding further the ecological instability of denuded forest systems, especially those with slope ≥18%. Similarly, the reforestation cycle indicates that saplings are at most 5 years old every time an El Niñno or a La Niñna occurs; in most reforestation schemes, saplings are only 1–2 years old when these events occur. These reforested areas are vulnerable to drought in El Niñno years and to high runoff erosion during La Niñna years. Because they are young, saplings in reforested areas dry easily and pose hazards to forest fires, which were observed to destroy larger tracts of forest cover during El Niñno more so when annual rain ≥10% below the normal. In retrospect, the study indicated that had forests been exploited with conscious regard to the recurrence of El Niñno or La Niñna episodes, ecological impacts could at least be toned down. In the same vein, reforestation should have been more successful it were implemented with due considerations to extreme climate variability. Once trees were planted, the weather elements become more crucial than politicians' meddling and other socio-economic factors to the growth and development of reforested sites.     

人工园林大面积种植区植被净初级生产力时空变化研究

云南西南地区自然资源丰富,近年来,随着社会经济的快速发展,橡胶、茶园和桉树等人工园林大规模种植主要占用了天然林和耕地,土地利用结构和空间布局发生了很大变化。为了探讨土地利用/覆被变化对植被净初级生产力（NPP）的影响,以人工园林大面积种植区西盟县为研究区,运用综合模型、CASA模型和MODIS产品（BIOME-BGC模型）,对西盟县2000年、2005年、2010年和2015年各地类NPP的时间变化和空间分布特征进行分析。结果表明：（1）2000~2015年,CASA模型模拟的西盟县NPP呈先减少后增加的趋势,MODIS模型模拟的NPP值变化趋势与CASA模型一致,综合模型则呈现逐年增加的趋势;（2）西盟县NPP的空间分布形态从西至东均呈“低值-高值-低值-高值-低值”（“M”）变化,与西盟县水热资源的分布特征和土地利用/覆被变化有关,西盟县NPP空间变化主要集中于人工园林种植区;（3）3种模型中,CASA模型和MODIS产品（BIOME-BGC模型）比综合模型更适用于地形气候复杂多样的山区NPP的模拟计算,其中CASA模型空间精度更高。     

长江源区基于坡面尺度的土壤水热过程模拟研究

长江源多年冻土区土壤水热传输过程机理与模拟,是广泛关系到高原生态环境保护恢复和区域水文过程的关键科学问题。因此,以GEOtop模型为研究平台,以长江源不同植被盖度下（裸地、30%、65%和92%）高寒草甸的观测数据为基础,检验模型对土壤水热迁移过程的描述与模拟精度。总体而言,GEOtop模型需要率定的参数较少,从而减少模型模拟的不确定性,提高了模拟精度。对不同植被盖度下土壤温度、水分和实际蒸散发模拟的NSE 系数基本达到08,表明模型能准确模拟高寒生态系统土壤的水热传输过程,可以作为长江源区土壤水热过程的有效模拟工具