基于RS和GIS的西双版纳土地覆被动态变化

人口增加、经济发展导致滇南热带地区西双版纳土地利用/土地覆被发生显著变化,这些变化对该区的生态环境及生物多样性保护有着重要影响。基于RS和GIS方法,通过对1976、1988和2003年三个时期遥感影像解译分析,试图了解西双版纳近27 a间土地利用/土地覆被时空变化特征及影响因素。结果表明,近27 a间有林地在西双版纳分布最广、占绝对优势,其中以亚热带常绿阔叶林面积最大;但在研究时段内,有林地面积不断减少、呈现破碎化,尤其是热带季节雨林、山地雨林面积减少最为明显和破碎化最为严重。相应,橡胶园、灌木林面积不断扩大并聚集成片,其中橡胶园在1988~2003年间是面积增长最快、最多的地类,其面积扩张主要来源于对热带季节雨林的砍伐。轮歇地面积在1976~1988年是所有地类中增长最快、最多的,在1988~2003年由于向橡胶园转变而大幅度减小。粗放式的刀耕火种和橡胶种植园的不断扩大是主导本区土地利用/土地覆被变化的主要因素,土地利用变化导致了本区生态环境的退化和生物多样性的丢失。     

Reconstructing pre-agricultural expansion vegetation cover of Ethiopia

Landscape reconstructions can be used to define a reference condition from which to assess the magnitude of land changes caused by human influence. Since the beginning of the last century, the population of Ethiopia has increased drastically with large effects on the natural vegetation and biodiversity. However, the original land cover patterns in Ethiopia have not been precisely mapped, which hinder the identification of the biophysical and socio-economic factors that contributed to the current landscape patterns. The objective of this study was to reconstruct the past century vegetation landscapes of Ethiopia (i.e. vegetation cover before agricultural expansion) and identify which ecosystems have been most affected by land changes. First, the net primary productivity (NPP) was modelled based on the climatic constraints of natural vegetation growth (water availability, solar radiation and minimum temperature) derived from remote sensing and climate data. This analysis showed that water availability is the most critical constraint for vegetation growth for all regions and land cover types in Ethiopia. Then, the past vegetation was mapped based on predicted NPP. Our results show that i) the extent of broadleaved evergreen or semi-deciduous forest, open broadleaved deciduous forest, closed to open shrubland, mosaic forest-shrubland/grassland, sparse vegetation and grassland was 18.8%, 12.4%, 20.6%, 31.5%, and 16.8%, respectively, and ii) current agricultural landscapes were previously covered mainly by broadleaved evergreen and deciduous forest, which encompassed 38.9%. The least affected by agricultural expansion were sparse vegetation and grassland. Our study provides novel insights on pre-agricultural expansion landscapes in Ethiopia with critical information for scientists and other stakeholders working on the restoration and rehabilitation of degraded areas.     

土地覆被类型空间格局与地形因子的定量关联及其应用

以全国1∶25万土地覆被数据、全国公里网格DEM数据和县级行政区划数据为基础,首先,在国家尺度上宏观分析地形因子对土地覆被类型空间分布格局的影响,土地覆被类型空间分布宏观格局受海拔高度、坡度、地表起伏度的影响明显,而与坡向的关系并不显著;其次,以县级行政单元为统计分析样本,利用多元线性回归分析方法,在国家和区域两个尺度建立土地覆被类型面积占比与主要地形因子之间的定量模型,在6类土地覆被类型中,除草地以外,其他5类土地覆被类型的面积占比均与地形因子之间呈显著相关关系,显著性由高到低的排列顺序依次为森林、农田、荒漠、聚落和湿地水体;最后,以相关性最好的森林的空间分布为例,说明了将所建立的模型应用于栅格单元上某种土地覆被类型面积占比估算的可能性,虽然估算结果与实际情况存在差异,但总体趋势基本保持一致,特别是土地覆被类型面积占比大的区域。     

Vegetation greenness modeling in response to climate change for Northeast Thailand

In Northeast Thailand, the climate change has resulted in erratic rainfall and tem- perature patterns. The region has experienced both periods of drought and seasonal floods with the increasing severity. This study investigated the seasonal variation of vegetation greenness based on the Normalized Difference Vegetation Index （NDVI） in major land cover types in the region. An assessment of the relationship between climate patterns and vegeta- tion conditions observed from NDVI was made. NDVI data were collected from year 2001 to 2009 using multi-temporal Terra MODIS Vegetation Indices Product （MOD13Q1）. NDVI pro- files were developed to measure vegetation dynamics and variation according to land cover types. Meteorological information, i.e. rainfall and temperature, for a 30 year time span from 1980 to 2009 was analyzed for their patterns. Furthermore, the data taken from the period of 2001-2009, were digitally encoded into GIS database and the spatial patterns of monthly rainfall and temperature maps were generated based on kriging technique. The results showed a decreasing trend in NDVI values for both deciduous and evergreen forests. The highest productivity and biomass were observed in dry evergreen forests and the lowest in paddy fields. Temperature was found to be increasing slightly from 1980 to 2009 while no significant trends in rainfall amounts were observed. In dry evergreen forest, NDVI was not correlated with rainfall but was significant negatively correlated with temperature. These re- sults indicated that the overall productivity in dry evergreen forest was affected by increasing temperatures. A vegetation greenness model was developed from correlations between NDVI and meteorological data using linear regression. The model could be used to observe the change in vegetation greenness and dynamics affected by temperature and rainfall.     

Drainage basin object-based method for regional-scale landform classification: a case study of loess area in China

Landform classification is one of the most important procedures in recognizing and dividing earth surface landforms. However, topographical homogeneity and differences in regional-scale landforms are often ignored by traditional pixel- and object-based landform classification methods based on digital elevation models (DEMs). In this work, a drainage basin object-based method for classifying regional-scale landforms is proposed. Drainage basins with least critical areas are first delineated from DEMs. Then, terrain derivatives of mean elevation, mean slope, drainage density, drainage depth, and terrain texture are employed to characterize the morphology of the drainage basins. Finally, a decision tree based on the topographical characteristics of the drainage basins is constructed and employed to determine the landform classification law. The experiment is validated in the landform classification of regional-scale loess areas in China. Results show that clear boundaries exist in different landforms at the regional scale. Landform type in a specific region shows significant topographical homogeneity under its specific regional geomorphological process. Classification accuracies are 87.3 and 86.3% for the field investigation and model validation, respectively. Spatial patterns of classified landforms and their proximity to sediment sources and other factors can be regarded as indicators of the evolutionary process of loess landform formation.     

Redistribution of forest biomass in an heterogeneous environment of subtropical Andes undergoing agriculture adjustment

Estimations of the carbon stored in the above-ground biomass are important from traditional, ecological and forestry to contemporary climate and land-use change perspectives. Carbon sequestration and storage is reduced by deforestation and degradation and enhanced by forest regrowth and expansion. Recent studies show that forests are experiencing redistribution at different scales. Regions with steep topographical gradients simultaneously experience these four processes, upon which the final carbon balance in forests depends, but large scale patterns of above-ground carbon changes within forests have generally been overlooked. We developed above-ground carbon maps for 2000 and 2012 in a heterogeneous environment of subtropical Andes to a) explore the patterns of change in relation to biophysical variables and forests types and b) calculate the relative contribution of within forest carbon change and of forest expansion/deforestation to total above-ground carbon balance. Above-ground carbon trends showed spatial variation: biomass losses occurred in dry forests at low-mid elevations, while gains were restricted to higher elevation forests. Within forest changes implied larger changes in carbon stocks (+361976 Mg C) and in an opposite direction than deforestation and reforestation (−56750.16 Mg C), and determined an overall stability in terms of above-ground carbon for the study period. These contrasting patterns of above-ground change may be representative of larger heterogeneous regions such as tropical and subtropical Andes, and highlight the need of explicitly accounting for within forests change in current carbon regional balances.     

AEOLIAN BLOWOUT DYNAMICS IN SUBARCTIC LAPLAND BASED ON DECADAL LEVELLING INVESTIGATIONS

Aeolian processes in the subarctic ecocline were investigated by measuring present‐day erosion and deposition rates over a decade in blowouts scoured into stabilized Early to Mid‐Holocene dunes. Four localities from different vegetation zones in Finnish Lapland were surveyed using precision levelling (infrared tachymeter) along eight transects at 1‐m intervals. During an 11‐year observation period, a total of 1439 observation points were monitored in three measurement campaigns, in 1993, 1994 and 2004. Together with dating results reported elsewhere, the results demonstrate the relative quiescence of these subarctic blowouts compared to many coastal dunes. On average, the deflation rate of the studied basins was 8.8 mm a^‐1, which corresponds well with the age and depth of the blowouts. Net deposition had taken place at 30% of the observation points, and one of the eight studied transects showed net deposition as the transect average. Symmetrical, smooth basins showed more consistent changes than basins with a complex form, indicating that internal factors are important in blowout formation under the Lapland climatic range. The deepest part of a blowout was generally found in the upwind end. The erosion/deposition patterns of the transects over a one‐year monitoring period were interpreted with Fourier analysis revealing along‐transect cyclicity, possibly reflecting the movement of small migrating bedforms in the blowouts. Generally, deflation rates at the latitudinal pine forest line were smaller than at those well outside the pine forest suggesting that the coniferous forest at the subarctic ecocline affects the intensity of present‐day aeolian activity in Fennoscandia.     

伏牛山北坡森林景观变化的地形梯度特征分析

运用景观生态学基本原理,借助地理信息系统技术,利用地形位指数,分析伏牛山北坡森林景观动态变化的地形梯度特征。结果显示:森林景观动态变化与地形梯度有密切关系,1986和2003年,森林景观在地形梯度上的优势分布区间(P_ie>1)分别为9~30和10~30,即在的中高地形梯度上,且有向高地形位略为移动的趋势。森林景观类型保持不变部分、森林景观转化为非森林景观类型部分和非森林景观转化为森林景观类型部分所对应的在地形梯度上的优势分布区间(P_ie>1)分别为10~30,5~12和4~10、18~24。分析森林景观动态变化与地形位指数的相互关系,表明森林景观动态变化与地形位指数有显著相关关系。     

The dynamic response of forest vegetation to hydrothermal conditions in the Funiu Mountains of western Henan Province

This paper uses HJ-1 satellite multi-spectral and multi-temporal data to extract forest vegetation information in the Funiu Mountain region. The S-G filtering algorithm was employed to reconstruct the MODIS EVI (Enhanced Vegetation Index) time-series data for the period of 2000–2013, and these data were correlated with air temperature and precipitation data to explore the responses of forest vegetation to hydrothermal conditions. The results showed that: (1) the Funiu Mountain region has relatively high and increasing forest coverage with an average EVI of 0.48 over the study period, and the EVI first shows a decreasing trend with increased elevation below 200 m, then an increasing trend from 200–1700 m, and finally a decreasing trend above 1700 m. However, obvious differences could be identified in the responses of different forest vegetation types to climate change. Broad-leaf deciduous forest, being the dominant forest type in the region, had the most significant EVI increase. (2) Temperature in the region showed an increasing trend over the 14 years of the study with an anomaly increasing rate of 0.27°C/10a; a fluctuating yet increasing trend could be identified for the precipitation anomaly percentage. (3) Among all vegetation types, the evergreen broad-leaf forest has the closest EVI-temperature correlation, whereas the mixed evergreen and deciduous forest has the weakest. Almost all forest types showed a weak negative EVI-precipitation correlation, except the mixed evergreen and deciduous forest with a weak positive correlation. (4) There is a slight delay in forest vegetation responses to air temperature and precipitation, with half a month only for limited areas of the mixed evergreen and deciduous forest.     

上海东部地区晚第四纪沉积的孢粉组合及古环境

通过对上海东部地区南汇鹤鸣孔、东海1井、高桥G2孔3口钻井晚第四纪地层的孢粉研究,划分出了6个孢粉组合带和3个亚带,恢复了本地区植被演替、气候波动的6个阶段:第1阶段晚更新世晚期,反映气候凉冷稍湿;第2阶段前北方期,反映气候温凉略湿;第3阶段北方期,反映气候温和略干;第4阶段大西洋期,反映气候热暖潮湿;第5阶段亚北方期,反映气候温暖略干; 第6阶段亚大西洋期,反映气候温暖湿润。这为本地区晚第四纪古植被、古气候、古环境的重建提供了重要的孢粉学资料。     

红壤侵蚀区马尾松林碳储量估算的遥感植被指数选择——以长汀河田地区为例

以福建省长汀县河田地区为研究区,在野外样方生物量调查和典型植被光谱测定基础上,对比分析SPOT5影像8种植被指数与马尾松林（Pinus massoniana）碳储量关系,估算区域尺度马尾松林碳储量。结果表明,马尾松林冠层与林下植被芒萁（Dicranopteris dichotoma）在短波红外波段（SWIR）反射率区分明显。加入SWIR的修正的归一化植被指数（MNDVI）与森林碳储量回归决定系数最高,并有较小的均方根误差,同时可减少林下植被覆盖对马尾松林碳储量估算影响。生态恢复驱动下研究区平均碳储量增加到30.37 t/hm²。     

南亚热带全新世火灾记录的气候变化及人类影响

选取华南沿海丘陵山地3个南亚热带不同地点及海拔的钻孔岩芯进行了微炭屑统计分析,结合孢粉分析结果,揭示全新世以来的植被变化与火灾历史,并探讨火灾事件与季风变化和人类活动的关系。结果表明：从8 000―3 500 cal. a B.P.,3个钻孔的微炭屑浓度均极低,证明该时段森林火灾频率很低,同时高木本含量的孢粉分析结果反映了亚热带阔叶林的繁盛,并指示全新世大暖期湿润和降雨丰沛的气候特征。加上早中全新世南方人口稀少,无“刀耕火种”等大面积农业活动。从3 500 cal. a B.P.开始,多个钻孔显示出微炭屑含量的迅速增加并持续高值,这与华南地区夏季风减弱导致降雨减少、气候变干,以及华南地区人类历史从新石器晚期进入商周时代的转折期密切相关。同时,孢粉指示的阔叶类木本植物含量显著减少,表明火灾对森林破坏逐渐严重。2 000 cal. a B.P.以后,人口出现第一次增长高峰,考古出土的器物证明牛耕和铁器农具开始广泛使用,农业快速发展。这一时期低海拔的GY1和中海拔的LTY钻孔微碳屑含量维持高值,禾本科以及芒萁属等次生植物孢粉含量快速增加。这反映了秦或南越国以后在华南地区较低海拔山地和平原农业活动得到迅速发展。此外,位于海拔1 600 m以上的钻孔GT-2的微碳屑记录显示：高海拔山区在800 cal. a B.P.以后才开始出现频繁的森林火灾,反映人类农业活动和人口增加扩张到高海拔山区。     

南岭国家级自然保护区森林景观格局变化与动态模拟

基于eCogntion、ArcGIS 和IDRISI 软件,采用景观格局指数分析广东南岭国家级自然保护区1988~2009 年景观类型数量及空间格局的变化;运用CA-Markov 模型模拟流域2010年的景观格局,预测2021 年的景观格局。结果表明,研究区森林景观类型以常绿阔叶林和针叶林为主;景观破碎度增加,斑块复杂程度提高,各景观类型的分布更加趋于复杂化;CA-Markov模型预测表明,2010~2021 年景观破碎度有所降低,多样性增加。     

Structural-hydrographic and morphometric analysis of river systems: Theoretical aspects

We examine the current possibilities for a further development and some basic notions of structural-hydrographic analysis of river systems. The advent of digital medium-scale global data on land surface and generally available software products strongly dictates a need to switch over from a functional to structural-functional modeling as the basic tool of land surface hydrology. On the other hand, the concepts from classic geo-morphology on the energy of topography, the structure of river basins and their linkage to modern tectonics, and on phenomena of double and antecedent valleys can be verified using a large body of statistical data to obtain a further development, based on introducing digital terrain models (DTM) and new algorithms for their processing.     

Modeling the Invasion of Holly (Ilex aquifolium): Spatial Relationships and Spread Trajectories

In this study, we investigated the environmental factors associated with the establishment of invasive English holly (Ilex aquifolium) and the spatiotemporal trajectories of its potential spread. We collected georeferenced presence and absence and demographic data of holly between 2011 and 2014 in Saint Edward State Park, Washington. We analyzed them through a spatially explicit framework that combines multiple logistic regression, cellular automata, and bivariate quadratic modeling. Results showed that the presence of holly is influenced by the proximity to evergreen coniferous vegetation and forest edge, distance to streams, forest structure, and slope direction. Our study confirmed that local environmental conditions, species characteristics, and vegetative and dispersal mechanisms play a significant role in determining the rate and success of holly establishment across the different phases of invasion. Invasive species management plans should consider both species characteristics and their habitat and the interactions among them when planning long-term strategies for control and eradication.     

Spatiotemporal patterns of tropical deforestation and forest degradation in response to the operation of the Tucuruí hydroelectric dam in the Amazon basin

The planned construction of hundreds of hydroelectric dams in the Amazon basin has the potential to provide invaluable ‘clean’ energy resources for aiding in securing future regional energy needs and continued economic growth. These mega-structures, however, directly and indirectly interfere with natural ecosystem dynamics, and can cause noticeable tree loss. To improve our understanding of how hydroelectric dams affect the surrounding spatiotemporal patterns of forest disturbances, this case study integrated remote sensing spectral mixture analysis, GIS proximity analysis and statistical hypothesis testing to extract and evaluate spatially-explicit patterns of deforestation (clearing of entire forest patch) and forest degradation (reduced tree density) in the 80,000 km² neighborhoods of the Brazil's Tucuruí Dam, the first large-scale hydroelectric project in the Amazon region, over a period of 25 years from 1988 to 2013. Results show that the average rates of deforestation were consistent during the first three time periods 1988–1995 (620 km² per year), 1995–2001 (591 km² per year), and 2001–2008 (660 km² per year). However, such rate dramatically fell to half of historical levels after 2008, possibly reflecting the 2008 global economic crisis and enforcement of the Brazilian Law of Environmental Crimes. The rate of forest degradation was relatively stable from 1988 to 2013 and, on average, was 17.8% of the rate of deforestation. Deforestation and forest degradation were found to follow similar spatial patterns across the dam neighborhoods, upstream reaches or downstream reaches at the distances of 5 km–80 km, suggesting that small and large-scale forest disturbances may have been influencing each other in the vicinity of the dam. We further found that the neighborhoods of the Tucuruí Dam and the upstream region experienced similar degrees of canopy loss. Such loss was mainly attributed to the fast expansion of the Tucuruí town, and the intensive logging activities alongside major roads in the upstream reservoir region. In contrast, a significantly lower level of forest disturbance was discovered in the downstream region.     

伏牛山地区森林植被动态变化对水热条件的响应

利用环境一号卫星不同时相多光谱数据,提取伏牛山地区不同森林植被类型。借助S-G滤波算法重构2000-2013年MODIS EVI时间序列影像,并结合气温和降水数据,运用线性回归、相关性分析和ANUSPLIN插值等方法分析伏牛山地区不同森林植被类型变动对水热条件的响应方式。结果表明：① 伏牛山地区植被覆盖较高,EVI平均值为0.48,14年来总体呈上升趋势,但不同森林植被类型变化存在明显差异,其中占比例最大的落叶阔叶林的上升趋势最为明显。② 14年来伏牛山地区气温呈升高趋势,气温距平升高速度约为0.27℃/10a,降水距平百分率呈波动增加趋势。③ 伏牛山地区不同森林植被类型EVI变化和气温、降水的相关性存在明显差异,其中常绿阔叶林EVI与气温的相关性最高,常绿落叶混交林与气温的相关性最弱;除常绿落叶混交林与降水主要呈弱正相关外,其余森林植被类型与降水主要呈弱负相关。④ 伏牛山地区森林植被对气温和降水的响应总体上滞后性不明显,仅在局部区域内常绿落叶混交林与气温和降水存在半个月滞后期。     

Holocene environmental instability in the wetland north of the Tiber delta (Rome,Italy): sea-lake-man interactions

Combined analyses of pollen, seeds, woods, micro-charcoal and non-pollen palynomorphs from Stagno di Maccarese, an artificially dried out coastal basin north of the Tiber delta now occupied by the Fiumicino Airport (Rome, Italy), document marked vegetation and environmental changes during the last 8300 years. Between 8300 and 5400 cal. a BP dense mixed deciduous and evergreen forests surrounded a eutrophic freshwater basin. An abrupt change around 5400 cal. a BP marks the transition to a marshy environment, due to a lowering of the water table. An increase of cereals and micro-charcoals matches the presence of a nearby Eneolithic settlement. Between 5100 and 2900 cal. a BP there is a remarkable expansion of riparian trees, indicating an increase of the water level. Between 2900 and 2000 cal. a BP, a new development of marshlands points to a progressive lowering of the lake. After 2000 cal. a BP, during the Roman exploitation of the area, an expansion of arboreal vegetation is recorded, characterized by evergreen and deciduous oak-dominated forests, while an extensive chenopods marshland matches the presence of saltworks. On the whole, the Stagno di Maccarese area appears very unstable, due to changes in lake level, introgression of marine water, eutrophic phases, flood events, desiccations and openings of the forest vegetation.     

A phenology based geo-informatics approach to map land use and land cover (2003–2013) by spatial segregation of large heterogenic river basins

Accurate information on land use and land cover (LULC) is critical for policy decisions especially for management of land and water resources’ activities in large river basins around the world. Phenology based LULC classification is the most promising approach particularly in the areas with diversified cropping patterns. Sometimes in large river basins, local climate and topography provides two different phenological information sets for the same crops in the same season. Based on accurate phenological information of the main crops in spatially segregated units, the remote sensing based classification was used to map the LULC changes for a period of 2003–2013 in the Kabul River Basin (KRB) of Afghanistan. We used remotely sensed Normalized Difference Vegetation Index (NDVI) products of Moderate-resolution Imaging Spectroradiometer (MODIS) from Terra (MOD13Q1) and Aqua (MYD13Q1) with 250 m spatial resolution for this study. The overall accuracy (mean) of the LULC classification throughout the study period was around 68.15% ± 9.45while the producer and user accuracies (mean) were 75.9 ± 11.3% and 76.4 ± 11.2%, respectively. Results show that the cropping patterns vary significantly in the spatially disaggregated units. From 2003 till 2013, the ground coverage of wheat, barley and rice was increased by 31%, 7% and 32%, respectively. Overall, there has been only 2% increment in the agricultural area across the KRB between 2003 and 2013. This relatively increased trend of land cover change has taken place as a result of partial improvement in political stability as well as investment in irrigation infrastructure and agricultural development in the region. This study further provides insight to develop new agriculture strategies in order to maintain the ecosystem required to fulfil the rising food demands.     

北京森林碳储量海拔梯度上的变化趋势(英文)

像北京这样的中国城市化地区的快速人口和GDP增长已经导致了来自化石燃料的大量CO2排放。森林被认为是最重要的碳汇,可以中和碳排放。本研究基于2009年森林清查数据和森林植被碳含量,采用生物量扩展因子(BEFs)方法评价了北京森林植被碳储量,利用森林凋落物与森林生物量的比例以及凋落物碳含量计算了凋落物碳储量,利用土壤厚度、容重和SOM含量计算了土壤碳储量。我们总结得出,阔叶林是北京森林主要碳库,森林碳储量主要分布在海拔60m的平原地区和60-600m的低山地区。北京森林碳密度几乎随着海拔增加而增加,但是在海拔200-400m地区略有下降,其中植被碳密度在60m的平原地区相对较高,这主要是由于碳密度较高的杨树和落叶松人工林的比例较高以及灌溉、施肥等促进植物碳累积的人工管理措施较多;森林土壤碳密度几乎随着海拔增加而增加,这主要是由于土壤碳输出随着海拔增加而逐渐下降,因为林下种植、灌溉和施肥加速了低海拔地区的土壤异氧呼吸但随着海拔增加而下降,同时海拔200-800m的低山地区常见的土壤侵蚀也会随着林下种植等干扰措施的减少而下降。本研究可以为区域森林生态系统管理者提供保护森林生态系统和改善森林碳储量提供科学知识。