MINErosion 4: Using measurements from a tilting flume-rainfall simulator facility to predict erosion rates from post-mining catchments/landscapes in Central Queensland,Australia

The use of draglines to remove overburden in Queensland opencut mines, results in landscapes that consist of long parallel tertiary overburden spoil-piles that are generally highly saline, dispersive, and highly erodible. The height of these spoil-piles may exceed 50–60 m above the original landscapes and the slopes are at the angle of repose of around 75% or 37°. Legislation and public opinion require that these highly disturbed open-cut post-mining landscapes should be satisfactorily rehabilitated into an approved post-mining land use with acceptable erosion rates. Therefore, these slopes must be reduced before the landscape can be rehabilitated. The most expensive component of the rehabilitation process is the re-shaping and preparation of the overburden to create a suitable landscape for vegetation growth. As soils and overburden varies greatly in their erodibilities, the extent and cost of earthworks can be minimized, and rehabilitation failures avoided, if soil erosion from designed landscapes can be predicted using laboratory-based parameters prior to construction of these landscapes. This paper describes the development of a model for that purpose.A catchment or landscape erosion model MINErosion 4 was developed by upscaling the existing hillslope model MINErosion 3 (So, et al., 2018) and integrate it with both ESRI ArcGIS 10.3 or QGIS 3.16 (freeware), to predict event based and mean annual erosion rate from a postmining catchment or landscape. MINErosion 3 is a model that can be used to predict event and annual erosion rates from field scale hillslopes using laboratory measured erodibility parameters or routinely measured soil physical and chemical properties, and to derive suitable landscape design parameters (slope gradient, slope length and vegetation cover) that will result in acceptable erosion rates. But it cannot be used to predict the sediment delivery from catchments or landscapes. MINErosion 4 was validated against data collected on three instrumented catchments (up to 0.91 ha in size) on the Curragh mine site in Central Queensland. The agreement between predicted (Y) and measured (X) values were very good with the regression equation of Y = 0.92X and an R² value of 0.81 for individual storm events, and Y = 1.47X and an R² value of 0.73 for the average annual soil loss. This is probably the first time that a catchment scale erosion is successfully predicted from laboratory measured erodibility parameters.     

Simulating in situ ammonia volatilization losses in the North China Plain using a dynamic soil‐crop model

Ammonia (NH₃) volatilization is an important N loss pathway in intensive agriculture of the North China Plain (NCP). Simulation models can help to assess complex N and water processes of agricultural soil–crop systems. Four variations (Var) of a sub‐module for the deterministic, process‐based HERMES model were implemented ranging from simple empirical functions (Var 3 and 4) to process‐oriented approaches (Var 1 and 2) including the main processes of NH₃ volatilization, urea hydrolysis, nitrification from ammonium‐based N fertilizer, and changes in soil solution pH. Ammonia volatilization, plant growth, and changes in ammonium and nitrate pools in the soil over several winter wheat–summer maize double‐crop rotations at three locations in the NCP were simulated. Results were calibrated with two data sets (Dongbeiwang 1, Shunyi) and validated using two data sets (Dongbeiwang 2, Quzhou). They showed that the ammonia volatilization sub‐module of the HERMES model worked well under the climatic and soil conditions of N China. Although the simpler equations, Var 3 and 4, showed lower deviations to observed volatilization across all sites and treatments with a mean absolute error (MAE) of 1.8 and 1.4 in % of applied N, respectively, compared to process‐oriented approaches, Var 1 and 2, with a MAE of 2.2 and 1.9 in % of applied N, respectively. Environmental conditions were reflected better by the process‐oriented approaches. Generally, simulation results were satisfying but simulated changes in topsoil pH need further verification with measurements.     

Vegetation response to conditions caused by different soil‐preparation techniques applied to afforestation in semiarid abandoned farmland

Twelve soil‐preparation techniques used in afforestation were applied and 16 environmental variables were measured to test their effects on vegetation abundance, diversity, and cover in semiarid abandoned farmland located in southeastern Spain. The soil‐preparation techniques consisted of punctual treatments—making a hole and constructing a plantation bench with different types of machinery; linear treatments—making furrows along contour lines; and surface treatments—that prepare the soil in general all over the plantation surface. Variables measured were the surface and volume affected by the soil‐preparation treatments, distance from sample quadrats to the remnants of natural vegetation, surface runoff estimated by slope angle, and some edaphic characteristics such as gravel content, active lime, CaCO₃, phosphorus, oxidizable organic matter, total soil nitrogen, pH, potassium, salinity, and clay, silt and sand content. The multivariate contrasts obtained demonstrated the existence of a significant relationship between species, samples and environmental variables. Both the distance of the quadrats from the remnants of natural vegetation and the volume of soil removed in different treatments were very weighty variables in the explanation of the variance of data, negatively affecting overall vegetation development. The accumulation or loss of surface runoff and the CaCO₃ content in soil were also important variables to explain abundance and diversity data. However, not all the species responded to the variables analysed in the same way. Identification of non‐uniform spatial patterns that significantly affect vegetation suggests that afforestation policies and conservation and management strategies in these semiarid abandoned lands should always take into consideration the quality of the whole landscape. Voluminous soil treatments for afforestation should be avoided. Copyright © 2006 John Wiley & Sons, Ltd.     

Erosion quantification in the small marly experimental catchments of Draix (Alpes de Haute Provence, France). Calibration of the ETC rainfall–runoff–erosion model

Erosion rates measured for 15 years in the small (ranging from 0.13 ha to nearly 1 km²) and steep (30–75%) mountainous marly basins of Draix (South Alps, France) are over 100 tons/ha/year in a badland area devoid of vegetation. In a similar basin, reforested at the end of the 19th century, the sediment yield is considerably reduced (less than 3 tons/ha/year). The analysis of the sediment yield of these torrents reveals the importance of the erosion processes on slopes at the scale of the elementary gully, and the influence of deposition, transport and scouring processes as soon as the channel network of the basin is developed.These processes were modelled by a hydrosedimentologic model developed by Cemagref for flood torrent erosion and called ETC. ETC is an integrated, spatialized and global model, working at the event scale. The rainfall–runoff component and the solid transport component, which involves scouring, deposition and armouring, are well developed. On the other hand, the erosion component is not yet a physically based model as the knowledge on the elementary processes is not enough quantitative. The ETC model was used on a badland basin of 86 ha in area, the Laval, and has shown its ability to simulate both water and sediment flows in mountainous and steep basins. The erosion modelling highlighted the need for a better representation of the slope processes and for more information on the storing of sediments in the channel network. Observations carried out on the influence of the vegetation cover patterns and the links between slopes and channels should be taken into account to improve the model.     

Satellite Thermography for Soil Salinity Assessment of Cropped Areas in Uzbekistan

A change of canopy temperature can indicate stress in vegetation. Use of canopy temperature to assess salt stress in specific plant species has been well studied in laboratory and greenhouse experiments, but its potential for use in landscape‐level studies using remote sensing techniques has not yet been explored. Our study investigated the application of satellite thermography to assess soil salinity of cropped areas at the landscape level. The study region was Syrdarya Province, a salt‐affected, irrigated semi‐arid province of Uzbekistan planted mainly to cotton and wheat. We used moderate‐resolution imaging spectroradiometer satellite images as an indicator for canopy temperature and the provincial soil salinity map as a ground truth dataset. Using analysis of variance, we examined relations among the soil salinity map and canopy temperature, normalized difference vegetation index, enhanced vegetation index, and digital elevation model. The results showed significant correlations between soil salinity and canopy temperature, but the strength of the relation varied over the year. The strongest relation was observed for cotton in September. The calculated F values were higher for canopy temperature than for the other indicators investigated. Our results suggest that satellite thermography is a valuable landscape‐level approach for detecting soil salinity in areas under agricultural crops. © 2016 The Authors. Land Degradation & Development Published by John Wiley & Sons Ltd.     

基于像元二分法的沙地植被景观格局特征变化分析

景观格局与过程的关系研究是目前景观生态学的主要目标和研究热点,而沙漠化是一种典型的景观演化过程。基于景观生态学原理,运用遥感与地理信息系统技术,以古尔班通古特沙漠南缘为研究区,选择近40 a(1977-2010年)间不同年降水量梯度的代表年份(1977年、1990年、2001年和2010年),利用Landsat MSS/TM/ETM+遥感数据对沙地植被景观格局变化进行了分析。结果表明:1977-2010年间,古尔班通古特沙漠南缘沙地植被呈现恢复—退化—恢复交替变化趋势,总体处于恢复趋势中;景观水平上沙地植被破碎化程度处于增加趋势,景观异质性增强,斑块形状趋于复杂;类型水平上不同盖度沙地植被破碎化程度呈不同趋势波动,总体呈盖度相对高的植被破碎化程度增加,而盖度相对低的植被破碎化程度降低的趋势。1977-2010年间,沙地植被斑块重心在西南-东北方向交替呈现,重心轨迹形成"Z"形。总体来看,植被斑块由沙漠西南缘向沙漠腹地东北方向扩张。年降水量波动与沙地植被盖度演化方向、景观破碎化程度、不同盖度沙地植被比例、不同盖度沙地植被破碎化程度、不同盖度沙地植被斑块重心迁移方向均具有密切关系,即干旱区沙地植被景观格局演化特征与年降水波动具有很强的关联性。     

Land Cover Transition in Northern Tanzania

Land conversion in sub‐Saharan Africa has profound biophysical, ecological, political and social consequences for human well‐being and ecosystem services. Understanding the process of land cover changes and transitions is essential for good ecosystem management policy that would lead to improved agricultural production, human well‐being and ecosystems health. This study aimed to assess land cover transitions in a typical semi‐arid degraded agro‐ecosystems environment within the Pangani river basin in northern Tanzania. Three Landsat images spanning over 30 years were used to detect random and systematic patterns of land cover transition in a landscape dominated by crop and livestock farming. Results revealed that current land cover transition is driven by a systematic process of change dominated by the following: (i) transition from degraded land to sparse bushland (10·8%); (ii) conversion from sparse bushland to dense bushland in lowland areas (6·0%); (iii) conversion from bushland to forest (4·8%); and (iv) conversion from dense bushland to cropland in the highlands (4·5%). Agricultural lands under water harvesting technology adoption show a high degree of persistence (60–80%) between time slices. This suggests that there is a trend in land‐use change towards vegetation improvement in the catchment with a continuous increase in the adoption of water harvesting technologies for crop and livestock farming. This can be interpreted as a sign of agricultural intensification and vegetation regrowth in the catchment. Copyright © 2015 John Wiley & Sons, Ltd.     

Suitability of Watershed Models to Predict Distributed Hydrologic Response in the Awramba Watershed in Lake Tana Basin

Planning effective landscape interventions is an important tool to fight against land degradation and requires knowledge on spatial distribution of runoff. The objective of this paper was to test models that predict temporal and spatial distribution of runoff. The selected models were parameter‐efficient semi‐distributed watershed model (PED‐WM), Hydrologiska Byrans Vattenbalansavdelning integrated hydrological modeling system (HBV‐IHMS), and Soil and Water Assessment Tool (SWAT). We choose 7‐km² Awramba watershed in the Lake Tana basin with detailed hydrological information for testing these models. Discharge at the outlet, rainfall, and distributed information on infiltration rates, water table, and extent of the saturated area were collected from 2013 to 2015. The maximum saturated area was 6·5% of the watershed. Infiltration rates exceeded rainfall intensities 91% of the time. Hence, saturation excess runoff was the main runoff mechanism. Models were calibrated for the rainy seasons in 2013 and 2014 and validated for 2015. For daily flow validation, the PED‐WM model (Nash–Sutcliff efficiency, NSE = 0·61) outperformed HBV‐IHMS (NSE = 0·51) and SWAT (NSE = 0·48). Performance on monthly time step was similar. Difference in model behavior depended on runoff mechanism. In PED‐WM, saturation excess is the main direct runoff process and could predict the maximum extent of the saturated area closely at 6·9%. HBV‐IHMS model runoff simulation depended on soil moisture status and evapotranspiration, and hence was able to simulate saturation excess flow but not the extent of the saturated area. SWAT, where infiltration excess is the main runoff mechanism, could only predict the monthly discharges well. This study shows that prevailing runoff mechanisms and distribution of runoff source areas should be used for proper model selection. Copyright © 2016 John Wiley & Sons, Ltd.     

SALINE WETLANDS' FATE IN INLAND DESERTS: AN EXAMPLE OF 80 YEARS' DECLINE IN MONEGROS,SPAIN

Wetlands inventory is one of the goals of conservation plans on a national scale and a global scale. Inventories are needed for long‐term monitoring or for identifying lost wetlands and those where restoration is feasible. In this article, we present an updated inventory of the saline wetlands of Southern Monegros, Spain. We depicted the evolution of these saline wetlands, locally named saladas with a unique long‐term retrospective study based on aerial photographs from 1927. Their inventory has been accomplished through a map analysis based on a geographical information system using aerial photographs and orthophotographs, topographic maps, unpublished local studies and field surveys. Remaining vegetation, changes in soil moisture and colour, and geomorphology have been the key features in identifying the saladas . Their changes in number, size and shape have been driven by human pressure, the main modifier of landscape in the last 80 years. The information gathered will contribute to the awareness of stakeholders and decision makers for their conservation as natural resources. Moreover, our large retrospective approach is a consistent base from which to propose the inclusion of the saladas of Monegros in the Ramsar list of Wetlands of International Importance. Copyright © 2011 John Wiley & Sons, Ltd.     

Soil‐carbon turnover under different crop management: Evaluation of RothC‐model predictions under Pannonian climate conditions

Despite the importance of soil organic matter (SOM), very few long‐term data concerning soil organic‐C dynamics are available for calibrating and evaluating C models. The long‐term ¹⁴C‐turnover field experiment, established in 1967 in Fuchsenbigl, Lower Austria, offers the unique opportunity to follow the fate of labeled C under different crop‐management systems (bare fallow, spring wheat, crop rotation) over a period of more than 35 y. Compared with the crop‐rotation and spring‐wheat treatments, the decline of total organic C was largest in the bare‐fallow treatments, because no significant C input has occurred since 1967. Nonetheless, the decline was not as fast as predicted with the original RothC‐26.3‐model decomposition rate constants. In this work, we therefore calibrated the Roth‐C‐26.3 model for the Pannonian climatic region based on the field‐experiment results. The main adjustment was in the decomposition rate constant for the humified soil C pool (HUM), which was set to 0.009 instead of 0.02 y^–1 as determined in the original Rothamsted field trial. This resulted in a higher HUM pool in the calibrated model because of a longer turnover period (111 vs. 50 y). The modeled output based on the calibrated model fitted better to measured values than output obtained with the original Roth‐C‐26.3‐model parameters. Additionally, the original decomposition rate constant for resistant plant material (RPM) was changed from 0.3 to 0.6 y^–1 to describe the decomposition of ¹⁴C‐labeled straw more accurately. Application of the calibrated model (modified HUM decomposition rate) to simulate removal of crop residues showed that this can entail a long‐term decline of SOM. However, these impacts are strongly dependent on the crop types and on environmental conditions at a given location.     

Development options of natural habitats in a post‐mining landscape

Rehabilitation of the post‐mining landscape of Lower Lusatia (Brandenburg, Germany) represents a complex problem: 85 per cent of this area is currently being recultivated for forests or agriculture and 15 per cent is reserved for nature development. After mining, soil conditions are dry, acidic and nutrient poor. The ‘LENAB’ project aimed at conservation strategies and management options for natural habitats. Two competing basic motives of nature conservation on a small or medium scale were defined: (1) close‐to‐naturalness (allowing natural dynamics to take place without human interference) and (2) biodiversity (selective species and habitat protection). An overall strategy for sustainability of a cultural landscape can only be applied to the entire post‐mining landscape. The application of the two basic motives leads to different management options; this is illustrated by two important vegetation types. Copyright © 2000 John Wiley & Sons, Ltd.     

Historical Land‐use and Vegetation Change in Northern Kwazulu‐Natal,South Africa

The role of anthropogenic activity is increasingly recognized as an agent of environmental change. Photographs, taken more than 130 years ago in KwaZulu‐Natal, South Africa, show a very different landscape to that viewed today. In attempting to understand some of the dynamics behind the changes in the landscape, we explored the history of land‐use in communal rangelands in KwaZulu‐Natal from the arrival of Iron Age man through to modern practices. Communal farming is frequently cited as a major cause of environmental degradation. Traditional lifestyles have been eroded by social, political and economic changes since the arrival of European explorers and settlers in the early 1800s. This may have contributed to encroachment by woody plants into the open savannas and grasslands of KwaZulu‐Natal in recent times because of increased grazing pressure and, perhaps reduced fires. Furthermore, there is decreasing dependence on wood for everyday needs due to the increased availability of electricity. Interviews with a number of community members indicate that they have noted a change in climate and in vegetation structure. Their observations have been confirmed by climate data and historic photographs. Environmental planners need to view change in a holistic manner, taking cognisance not only of the physical changes but also of the history of land‐use and human needs and to give credence to community perceptions. Copyright © 2015 John Wiley & Sons, Ltd.     

Regional and local scale variations in soil organic carbon stocks in West Greenland

The soil organic carbon (SOC) pool of the Northern Hemisphere contains about half of the global SOC stored in soils. As the Arctic is exceptionally sensitive to global warming, temperature rise and prolonged summer lead to deeper thawing of permafrost‐affected soils and might contribute to increasing greenhouse gas emissions progressively. To assess the overall feedback of soil organic carbon stocks (SOCS) to global warming in permafrost‐affected regions the spatial variation in SOCS at different environmental scales is of great interest. However, sparse and unequally distributed soil data sets at various scales in such regions result in highly uncertain estimations of SOCS of the Northern Hemisphere and here particularly in Greenland. The objectives of this study are to compare and evaluate three controlling factors for SOCS distribution (vegetation, landscape, aspect) at two different scales (local, regional). The regional scale reflects the different environmental conditions between the two study areas at the coast and the ice margin. On the local scale, characteristics of each controlling factor in form of defined units (vegetation units, landscape units, aspect units) are used to describe the variation in the SOCS over short distances within each study area, where the variation in SOCS is high. On a regional scale, we investigate the variation in SOCS by comparing the same units between the study areas. The results show for both study areas that SOCS are with 8 kg m^?2 in the uppermost 25 cm and 16 kg m^?2 in the first 100 cm of the soil, i.e., 3 to 6 kg m^?2 (37.5%) higher than existing large scale estimations of SOCS in West Greenland. Our approach allows to rank the scale‐dependent importance of the controlling factors within and between the study areas. However, vegetation and aspect better explain variations in SOCS than landscape units. Therefore, we recommend vegetation and aspect for determining the variation in SOCS in West Greenland on both scales.     

黄河上游退耕地植被组成、结构及水保功能评价

 面对黄河上游地区生态失衡的严重现实,作为植被恢复重建重要手段的退耕还林还草工程,其水保功能研究不仅具有理论价值,而且有十分迫切的实践需要。退耕地人工植被的建立,是一种仿拟自然植被的过程,植物种数越多,垂直层次性越复杂,植被的水保功能也越高。在黄河上游脑山区,物种丰富度指数最高的阶段,往往为植物群落演替的中间阶段,此时植物层次较多,一般可达3～5层,种类繁杂,生物基因保存多;同时,多层次的植物群落结构,对降水的截留作用明显,水保功能突出,以青海云杉为主的针阔混交类型,就是其典型代表之一。退耕地植被随着林分年龄增加,其水保功能逐步提高。一些退耕20多年的人工植被类型,生物多样性高,垂直层次结构复杂,水保功能甚至超过一些天然植被类型,直逼水保功能表现最好的50多年生天然青海云杉针阔混交林。在退耕还林还草工作中,通过仿拟自然植被结构,建造复层、混交的植被类型,来实现稳定的退耕地人工植被水保功能的整体思路,是切实可行的。     

A Biophysical and Economic Assessment of a Community‐based Rehabilitated Gully in the Ethiopian Highlands

Gully erosion reduces agricultural productivity by destroying valuable land resources, increases sediment concentrations, reduces water quality, and fills up reservoirs. Gully rehabilitation has proven to be challenging especially in the high‐rainfall areas of the Ethiopian Highlands and has therefore had limited success. This paper describes a successful low‐cost gully rehabilitation effort with community participation in the Birr watershed in the Blue Nile basin that begun in early 2013. Initially, farmers were reluctant to participate for religious reasons, but with the aid of local priests and respected elders, community discussions, and a visit to a rehabilitated gully, a consensus was reached to rehabilitate a 0·71‐ha upland gully. The rehabilitation measures consisted of regrading the gully head at a 45° slope, constructing low‐cost check dams from locally available materials, and planting Pennisetum purpureum grass and Sesbania sesban. At the end of the first post‐implementation rainy season, 2,200 tons of soil was conserved by the constructed check dams and newly planted vegetation, compared with soil losses of 680 and 560 tons in two untreated, nearby gullies. In 2014, an additional 3,100 tons of soil was conserved. In 2013, the marginal rate of return (MRR) on the gully rehabilitation investment was 2·6 based on the value of increased forage production alone. When we include trapped soil nutrient values, the rehabilitation MRR was increased to 10. Although these numbers are impressive, the best proof of the success was that farmers on their own initiative rehabilitated an additional five gullies in 2014. Copyright © 2015 John Wiley & Sons, Ltd.     

Predicting the content of soil mineral nitrogen based on the content of calcium chloride‐extractable nutrients

Sustainable management of nitrogen (N) in crop production requires a multifactorial assessment of the soil inorganic nitrogen pool (N_min). It is assumed that the reliable prediction of the total N_min content requires data on the content of mineral N forms (NO₃‐N, NH₄‐N), the contents of other extractable macronutrients and the soil pH. This hypothesis was tested during three growing seasons on a production farm in Górzno, Poland. The contents of 0.01 M CaCl₂‐extractable NO₃‐N, NH₄‐N, P, K, and Mg and the pH were measured in soil layers of 0–0.3, 0.3–0.6, and 0.6–0.9 m just prior to the start of spring vegetation of a given crop and immediately after its harvest (autumn). This study was conducted in 17 fields differing in cropping sequence (CS): 10 with oilseed rape (Brassica napus L.) (OSR‐CS) and seven with maize (Zea mays L.) (SM‐CS) as the dominant crops. Principal factor analysis (PFA) was applied to explore and interpret patterns in data sets defined by the changeability in the content of N_min in association with variability in contents of other CaCl₂‐extractable nutrients. In spring, the first principal factor (PF1) for OSR‐CS was associated with phosphorus (P), whereas PF2 and PF3 were loaded by NO₃‐N and NH₄‐N, respectively. For SM‐CS, PF1 was loaded by both inorganic N forms, whereas PF2 and PF3 were loaded by potassium (K), magnesium (Mg), and P. In autumn, the dominance of P as the key variable associated with the PFs was stronger in both CSs compared with those in the spring. The prediction of N_min, in spite of the moderate strength of the PFs (“r” coefficients), can be conducted based on the inorganic N content. In spring, the reliable prediction of N_min for the OSR‐CS requires data on both N forms. In the SM‐CS, the content of NO₃‐N can be used as the sole N_min predictor. In autumn, the variability in N_min content can be explained based solely on the NH₄‐N content. This was also the main factor affecting the variability in other soil fertility characteristics, such as the contents of K and Mg and the soil pH.     

Soil and Water Assessment Tool Soil Loss Simulation at the Sub‐Basin Scale in the Alt Penedès–Anoia Vineyard Region (Ne Spain) in the 2000s

This paper evaluates soil loss due to water erosion in an area of 32,362 ha with a predominant land use of vineyards (Alt Penedès–Anoia region, Catalonia, Spain). The Soil and Water Assessment Tool (SWAT) was used incorporating daily climatic data for the period 2000–2010 and also detailed soil and land use maps. Particular attention was given to the universal soil loss equation cover and management factor (C factor) of vineyards, with a minimum value of 0·15 being determined for this crop. The model was calibrated using daily flow data for the year 2010, which yielded satisfactory results. Even so, significant differences were obtained on days with high‐intensity rainfall events, when the model overestimated runoff and peak discharge. In these vineyards, the simulated average soil losses per sub‐basin ranged between 0·13 and 9·73 Mg ha⁻¹ y⁻¹, with maximum values of between 26·32 and 42·60 Mg ha⁻¹ y⁻¹ registered in fine‐loamy soils developed on unconsolidated Tertiary marls. Other findings were related to problems associated with SWAT calibration under Mediterranean conditions characterised by major climate variability and high‐intensity rainfall events. Copyright © 2013 John Wiley & Sons, Ltd.     

基于NDVI的延河流域时空演变分析

利用8年的MODIS NDVI构建时序数据集,分析了延河流域2003—2010年植被覆盖度的时空格局和演变规律。借鉴时空数据分析模型,以栅格像元为分析单元,对该流域研究时段的绿度变换率进行计算分析,并利用像元二分模型对2003年和2010年地表植被覆盖度进行反演。结果表明:(1)延河流域植被生长状况总体呈改善趋势,延安南部林区、宝塔区东南部以及延长县中部植被覆盖较好且较稳定;(2)安塞县中南部、延长县大部以及杏子河中游的王瑶水库周边区域植被恢复效果显著;(3)在宝塔城区和城市重点开发区植被出现退化趋势。经分析,引起该流域局部植被退化主要是由于不合理的土地利用方式以及城市开发建设造成的植被破坏。基于像元的变化趋势分析更易于体现区域NDVI时空演变的细节信息。     

喀斯特峰丛洼地农业生产活动的景观效应初探

为探讨峰丛洼地农业生产活动对景观的影响,从农业生产活动对峰丛洼地水文、植被及土壤的影响及其对景观格局演变的作用等方面入手,重点分析了农业生产与景观演变的相关性,结果表明:农业生产对峰丛洼地景观格局的影响,主要是由对原始植被的破坏导致表层岩溶水循环途径的阻断及表层岩溶带产流模式的改变造成的,即地下径流转化为地表径流。农业生产活动对喀斯特峰丛洼地景观变化的作用主要是破坏了地表植被系统的稳定性,造成景观破碎,使景观均质性减弱,造成景观的逆向演替乃至出现石漠化。