干旱区典型流域近30 a土地利用/覆被变化和景观破碎化分析——以玛纳斯河流域为例

 利用1976年、1989年、2005年三期遥感影像,运用GIS和FRAGSTATS景观分析软件对玛纳斯河流域近30 a的土地利用/覆被变化和景观破碎化进行了研究。结果表明：①玛纳斯河流域土地利用/覆被在过去30 a间发生了普遍的变化。耕地、建设用地不断增加,而草地、林地、水域、盐碱地不断减少。耕地主要是在草地上开垦出来的。②绿洲内部的耕地趋于集聚状态,破碎性降低,而绿洲边缘的耕地,破碎性增强。草地面积大减,破碎性增强,退化严重。沙地、水域破碎性也不断增强,林地、未利用土地的破碎化于1989年增强,2005年减缓。③驱动力分析表明,流域变化是自然和人类活动共同作用的结果,其中人口的快速增长、政策环境的变化和自然环境变化如干旱等是最主要的驱动因素。     

若尔盖盆地沙漠化及其景观格局变化研究

应用1975年的MSS数据、1990年和2005年的TM数据、以及2000年的ETM数据,通过遥感与地理信息系统技术,获得了若尔盖盆地在1975-2005年间的沙漠化发展特征,并采用景观指数运算软件FRAGSTATS3.3对该地区沙漠化土地的景观格局变化进行了分析。研究发现,在1975-1990年间,若尔盖盆地的沙漠化土地面积大幅增加;在1990-2000年间,沙漠化土地面积保持稳定;在2000-2005年间,沙漠化土地面积出现了小幅度的减小趋势。对若尔盖盆地沙漠化土地的景观格局变化进行研究发现,固定沙丘（地）和半固定沙丘（地）是若尔盖盆地主要的沙漠化土地景观类型。在1975-1990年间,沙漠化土地斑块数量和斑块平均面积均大幅增加,是该地区沙漠化快速发展时期;在1990-2000年间,沙漠化土地斑块数量下降,斑块平均面积增加,沙漠化景观破碎度有所降低;在2000-2005年间,沙漠化土地斑块数量增加,斑块平均面积减小,沙漠化景观破碎度增强。     

基于遥感和GIS的干旱区绿洲景观破碎化分析--以金塔绿洲为例

以2个时期的遥感图像所解译的土地利用数据为基本信息源，基于GIS工具，选用斑块密度、廊道密度、斑块破碎度、分离度和斑块面积变异系数5个指标对金塔绿洲的破碎化程度进行了分析。结果表明：(1)1990～2000年，金塔绿洲总体的景观破碎化程度轻微地降低。(2)从景观类型上看，基质的破碎化程度增强；水浇地面积增大，趋于集中分布，破碎化程度降低；城镇用地破碎度增加，分离度减小。这些变化与人类开发利用活动的程度和方式有关，体现了荒漠基质受人类影响而逐步形成的典型农业型绿洲的特点。     

奈曼旗20世纪80年代以来土地覆盖/利用变化研究

奈曼旗是我国北方农牧交错带沙漠化最严重的地区之一, 也是中国沙漠化监测和治理的重要地区之一。自20世纪80年代以来开始实行一系列土地整治措施, 土地覆盖/利用发生很大变化。利用1980年和1996年的1: 10万的TM遥感影像及GIS获得的数据, 从土地覆盖/利用结构变化、数量变化、空间景观特征变化以及主要变化过程等方面对其进行了研究。结果表明, 80年代以来奈曼旗耕地与难利用土地大幅减少, 林地和草地大幅增加; 土地覆盖/利用变化的主要过程为: 耕地退耕还草、还林, 难利用土地恢复为草地, 在适宜的草地上植树造林; 景观变得破碎, 土地利用的多样性增强。     

祁连山东段山地景观格局变化及其生态脆弱性分析

以RS和GIS技术为主要手段,分析了祁连山东段地区1994-2008年的景观格局变化及其生态脆弱性。结果表明：（1）与1994年相比,森林、草地、冰雪带、水域4种景观要素的面积分别减少了5.0%、2.0%、2.2%、2.0%,而灌木和裸地的面积则分别增加了6.8%、5.0%;灌木、草地、冰雪带和裸地景观要素的平均斑块面积分别增加了49.0%、19.0%、1.1%、436.6%,森林和水域平均斑块面积分别减小了9.6%和4.1%。（2）森林、草地、冰雪带、水域4种景观要素的平均最邻近距离增加,聚集度降低,各景观要素内部斑块之间聚集度减小。灌木与森林景观要素之间的空间邻接长度增加了3 867 km,裸地与其他景观要素之间的空间邻接长度增加了5 589 km,嵌缀在其他各种景观要素中的裸地小斑块逐渐融合成大斑块。（3）景观类型脆弱度指数与破碎度指数之间显著正相关,分维数倒数、分离度指数和沙化敏感性指数与景观类型脆弱度指数呈弱度正相关。祁连山东段地区森林和草地退化,面积萎缩、水域干涸,裸地面积增加,各景观要素的空间关系趋于简单,景观破碎化增加。人类活动所引起的景观破碎化是祁连山东段地区景观格局和景观脆弱性变化的决定性因素。     

和田绿洲景观破碎化特征及驱动因素

景观破碎化改变着区域景观结构的完整性和系统的连通性,对景观的稳定性和可持续发展具有重要影响。选取新疆和田绿洲为研究区,以1970年新疆考察数据与MSS影像,1990、2000、2013、2018年4期Landsat TM/ETM+同月相数据为主要数据源,采用景观指数法、移动窗口法、梯度分析及归因分析等方法开展绿洲景观破碎化的时空格局变化及驱动因素的研究。结果表明：近50年来,景观分裂指数（DIVISION）由0.94减少到0.89,香浓多样性指数（SHDI）从1.44减少到1.28,绿洲景观破碎化整体呈现减缓趋势。其中,城市景观破碎化程度最低,沿破碎化梯度从城市中心向外围呈现出先上升后下降的趋势。此外,景观破碎化程度与农业的发展呈倒“U”型函数关系,当农业扩张在绿洲面积的40%—50%时,景观破碎化程度达到峰值。人口增长,农业扩张与社会经济发展共同影响着绿洲破碎化的时空格局。本研究不仅为干旱区绿洲景观破碎化格局的空间变化分析及驱动因素研究提供科学依据,也对绿洲生态景观的规划与可持续管理具有重要的意义。     

福州市土地利用景观格局分析

以福州市土地利用现状图为基本图件,在GIS支持下编制了福州市土地利用景观图,进而选取几种主要指数,通过Excel软件计算,定量分析了福州市土地利用的景观格局及破碎化特征.结果表明林地为基质景观,优势度指数最高,分离度指数最低;耕地、园地、城镇村及工矿用地和水域的均匀度较高,多样性指数较大,但破碎化程度较深;未利用地破碎度最低.从总体上看,土地利用的景观比较单调、多样性指数较小、破碎化程度也较低,景观异质性不高.     

土地经济生态位变化下的城乡空间景观格局表征——以广东省惠州市为例

土地利用变化对生物多样性和生态过程有着深刻的影响,与城乡景观格局变化密切相关。尝试将土地利用变化驱动力——土地经济生态位的理论和方法引入到景观生态学当中,为城乡空间景观格局空间表征提供新的方法。通过选取表征景观格局指标的破碎化指数、分形维数,利用Envi4.8、Arcmap10.0,Fragstasts4.1等软件,以广东省惠州市为例,在分析土地经济生态位与景观类型、景观指数之间的关系基础上,对土地经济生态位变化下的城乡空间景观格局进行表征。结果表明:不同景观土地面积数量的增减与该类型土地经济生态位升降具有一致性的规律,土地经济生态位上升,相应的景观土地面积增大,反之则减小;土地经济生态位越小,表征景观格局的景观破碎化指数、分维数指数越大,破碎化指数与分维数指数的增减与土地经济生态位升降表现出一致性的规律,土地经济生态位上升,相应的破碎化指数、分维数指数则增大,反之则减小;城乡空间景观格局变化的发生主要出现在土地经济生态位高的区域。土地经济生态位的变化是城乡景观格局变化的重要影响因子,能够很好解释城乡空间景观格局特征。     

土地经济生态位变化下的城乡空间景观格局表征——以广东省惠州市为例

土地利用变化对生物多样性和生态过程有着深刻的影响,与城乡景观格局变化密切相关。尝试将土地利用变化驱动力——土地经济生态位的理论和方法引入到景观生态学当中,为城乡空间景观格局空间表征提供新的方法。通过选取表征景观格局指标的破碎化指数、分形维数,利用Envi4.8、Arcmap10.0,Fragstasts4.1等软件,以广东省惠州市为例,在分析土地经济生态位与景观类型、景观指数之间的关系基础上,对土地经济生态位变化下的城乡空间景观格局进行表征。结果表明：不同景观土地面积数量的增减与该类型土地经济生态位升降具有一致性的规律,土地经济生态位上升,相应的景观土地面积增大,反之则减小;土地经济生态位越小,表征景观格局的景观破碎化指数、分维数指数越大,破碎化指数与分维数指数的增减与土地经济生态位升降表现出一致性的规律,土地经济生态位上升,相应的破碎化指数、分维数指数则增大,反之则减小;城乡空间景观格局变化的发生主要出现在土地经济生态位高的区域。土地经济生态位的变化是城乡景观格局变化的重要影响因子,能够很好解释城乡空间景观格局特征。     

基于ArcGIS的海南省耕地破碎度时空变化研究

耕地作为农业资源的重要生产要素,其破碎化不仅造成耕地浪费,且直接影响了耕地的土地生产力。本文以海南省为研究区域,利用海南省各市县2009年第二次国土调查成果数据及第三次土地利用调查统一时点数据,选取6项耕地破碎度评价指标,构建耕地破碎度评价模型,分析海南省各评价单元耕地破碎度的时空变化特征;研究方法：景观指数法、熵权法、自然断点分级法。结果表明：(1)从空间分布而言,海南省中部地区耕地破碎度总体均高于其他地区。(2)从2009-2019年,海南省耕地破碎度总体趋于好转,I级区市县个数由“二调”的6个增加至“三调”的8个,Ⅱ级区由“二调”的9个减少至“三调”的7个,Ⅲ级区数量保持不变。(3)海口市为近10年耕地破碎度变化幅度最大的城市,耕地破碎度综合指数从“二调”的0.2459增长至“三调”的0.3468,增幅为41%。研究结论：地形地貌为山地、丘陵区,耕地破碎度较大;经济发展速度与耕地破碎度变化趋势总体成正比。     

Land use/cover, landforms and fragmentation patterns in a tropical dry forest in the southern Pacific region of Mexico

In spite of widely documented studies of deforestation rates and land use/cover changes in tropical dry forests in Mexico, relatively little is known about fragmentation patterns in such forests. This study defines the spatial distribution of landforms and land use/cover types the lower Papagayo River basin and examines their influence on fragmentation patterns and biological diversity in a tropical dry forest in that southern Pacific region. The land use/cover map was constructed from aerial photographs, Landsat TM imagery (2000) and fieldwork. Landform units were defined based on altitude, slope, lithology and morphology. Landscape fragmentation parameters were obtained using FRAGSTATS (version 3.3) considering the numbers of patches, mean, minimum and maximum patch size, edge density, total edge and connectivity. Results show tropical dry forest to be remnant vegetation (~11 per cent), characterized by isolation and low connectivity. Land use/cover types have different effects on fragmentation patterns. Agriculture and cattle raising produce similar numbers of patches, but with a different mean size; and human settlements have a scattered distribution pattern. The abandonment of rural agricultural livelihoods has favoured the expansion of secondary tropical dry forest characterized by continuity and high connectivity, which suggests a high regeneration potential from land abandonment. It can be concluded that tropical dry forest fragmentation and recovery at regional scales depend on such landscape attributes as lithology, slope, geomorphology and management.     

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。     

Assessment of spatial and temporal dynamics of tropical forest cover: A case study in Malkangiri district of Orissa, India

Tropical forests have been recognized as having global conservation importance. However, they are being rapidly destroyed in many regions of the world. Regular monitoring of forests is necessary for an adaptive management approach and the successful implementation of ecosystem management. The present study analyses the temporal changes in forest ecosystem structure in tribal dominated Malkangiri district of Orissa, India, during 1973–2004 period based on digitized forest cover maps using geographic information system (GIS) and interpretation of satellite data. Three satellite images Landsat MSS (1973), Landsat TM (1990) and IRS P6 LISS III (2004) were used to determine changes. Six land cover types were delineated which includes dense forest, open forest, scrub land, agriculture, barren land and water body. Different forest types were also demarcated within forest class for better understanding the degradation pattern in each forest types. The results showed that there was a net decrease of 475.7 km2 forest cover (rate of deforestation = 2.34) from 1973 to 1990 and 402.3 km2 (rate of deforestation = 2.27) from 1990 to 2004. Forest cover has changed over time depending on a few factors such as large-scale deforestation, shifting cultivation, dam and road construction, unregulated management actions, and social pressure. A significant increase of 1222.8 km2 agriculture area (1973–2004) clearly indicated the conversion of forest cover to agricultural land. These alterations had resulted in significant environmental consequences, including decline in forest cover, soil erosion, and loss of biodiversity. There is an urgent need for rational management of the remaining forest for it to be able to survive beyond next decades. Particular attention must be paid to tropical forests, which are rapidly being deforested.     

热带森林覆被的时空动态评价——以印度Malkangiri district of Orissa为例

Tropical forests have been recognized as having global conservation importance. However,they are being rapidly destroyed in many regions of the world. Regular monitoring of forests is necessary for an adaptive management approach and the successful implementation of ecosystem management. The present study analyses the temporal changes in forest ecosystem structure in tribal dominated Malkangiri district of Orissa,India,during 1973-2004 period based on digitized forest cover maps using geographic information system (GIS) and interpretation of satellite data. Three satellite images Landsat MSS (1973),Landsat TM (1990) and IRS P6 LISS III (2004) were used to determine changes. Six land cover types were delineated which includes dense forest,open forest,scrub land,agriculture,barren land and water body. Different forest types were also demarcated within forest class for better understanding the degradation pattern in each forest types. The results showed that there was a net decrease of 475.7 km2 forest cover (rate of deforestation = 2.34) from 1973 to 1990 and 402.3 km2 (rate of deforestation = 2.27) from 1990 to 2004. Forest cover has changed over time depending on a few factors such as large-scale deforestation,shifting cultivation,dam and road construction,unregulated management actions,and social pressure. A significant increase of 1222.8 km2 agriculture area (1973-2004) clearly indicated the conversion of forest cover to agricultural land. These alterations had resulted in significant environmental consequences,including decline in forest cover,soil erosion,and loss of biodiversity. There is an urgent need for rational management of the remaining forest for it to be able to survive beyond next decades. Particular attention must be paid to tropical forests,which are rapidly being deforested.     

The tropical forest in south east Asia: Monitoring and scenario modeling using synthetic aperture radar data

Tropical forests play a major role in storing large carbon stocks and regulating energy, and water fluxes, but such forest cover is decreasing rapidly in spite of the policy attention on reducing deforestation. High-resolution spatiotemporal maps are unavailable for the forests in majority of the tropical regions in Asia because of the persistent cloud cover and haze cover. Recent advances in radar remote sensing have provided weather-independent data of earth surface, thus offering an opportunity to monitor tropical forest change processes with relatively high spatiotemporal resolutions. In this research, we aim to examine the tropical deforestation process and develop a spatial model to simulate future forest patterns under various scenarios. Riau Province from central Sumatra of Indonesia is selected as the study area; this province has received much attention worldwide because the highest CO₂ emission resulting from tropical deforestation has been recorded. Annual time series PALSAR data from 2007 to 2010 were analyzed for forest mapping and detecting land cover changes. A spatial model was calibrated using the Bayesian method. Modeling parameters were customized for the local subregions that allocate deforestation on the basis of their empirical relationships to physical and socioeconomic drivers. The model generated landscape spatial patterns mirrored the possible locations and extent of deforested areas by 2030 and provided time-series crucial information on forest landscape under various scenarios for future landscape management projects. The results suggested that the current deforestation process is in a critical stage where some subregions may face unprecedented stress on primary forest costing rivers and forest ecosystems by the end of 2020. The perspective views of Riau Province generated by the model highlighted the need for forest/environmental planning controls for the conservation of environmentally sensitive areas.     

Agricultural land use dynamics in the Brazilian Amazon based on remote sensing and census data

The potential impact of deforestation in the Brazilian Amazon on greenhouse gas emissions to the atmosphere calls for policies that take account of changes in forest cover. Although much research has focused on the location and effects of deforestation, little is known about the distribution and reasons for the agricultural uses that replace forest cover. We used Landsat TM-based deforestation and agricultural census data to generate maps of the distribution and proportion of four major agricultural land uses throughout the Brazilian Amazon in 1997 and 2007. We built linear and spatial regression models to assess the determinant factors of deforestation and those major agricultural land uses - pasture, temporary agriculture and permanent agriculture - for the states of Pará, Rondônia, and Mato Grosso. The data include 30 determinant factors that were grouped into two years (1996 and 2006) and in four categories: accessibility to markets, public policies, agrarian structure, and environment. We found an overall expansion of the total agricultural area between 1997 and 2007, and notable differences between the states of Pará, Rondônia, and Mato Grosso in land use changes during this period. Regression models for deforestation and pasture indicated that determinant factors such as distance to roads were more influential in 1997 than in 2007. The number of settled families played an important role in the deforestation and pasture, the effect was stronger in 2007 than 1997. Indigenous lands were significant in preventing deforestation in high-pressure areas in 2007. For temporary and permanent agricultures, our results show that in 1997 the effect of small farms was stronger than in 2007. The mapped land use time series and the models explain empirically the effects of land use changes across the region over one decade.     

热带雨林的碳循环及其意义

热带雨林的碳循环及其在全球碳循环中的作用，已经成为当前的热点研究问题，热带雨林的碳循环包括植物的固碳作用、归还作用和再利用、流失及贮存三个过程，并具有周期短、贮存量大、复杂性及封闭性强的特点，而且热带雨林的碳循环对全球碳循环、全球变化、生态系统、环境和可持续发展以及人类本身有巨大影响，但是由于热带林地的土地利用每年造成相当大的碳净释放，并带来一系列的环境问题，因此深入开展对热带雨林的研究，以及合理利用、开发和保护，实现热带雨林和可持续发展意义十分重大。     

Forest transitions in tropical landscapes: A test in the Atlantic Forest biodiversity hotspot

Analyzing temporal changes in forest amount and configuration is paramount to better design future forest management interventions. Such analyses are especially required for tropical biomes, which are usually subject to dynamic and heterogeneous land uses. Recent studies have suggested that many tropical biomes are passing through the process of “forest transition”, i.e. an overall change from forest loss to forest gain. However, this hypothesis remains scarcely tested, due to the difficulty of obtaining detailed, quantitative historical records of forest cover. In this study, we investigate 38 years of land use change in Brazil's Atlantic Forest, a biodiversity hotspot, from 1976 to 2014, using multitemporal datasets from aerial photographs and satellite images. We classified the historical series to produce land use maps and calculated a set of landscape metrics, including total forest cover, patch size, patch shape and patch connectivity. Our results indicated non-linear changes through time in forest loss and gain and also in landscape structure, which can be classified into two distinct periods. The first period (1976–1996) was marked by expressive forest loss and fragmentation, whereas the second (1996–2014) was characterized by a much less intense forest dynamics, with little deforestation being balanced by forest regeneration. We attribute the forest dynamics observed to temporal changes in socioeconomic factors, such as increasing human settlements and changes in environmental protection policies. Our results show that current forests are a heterogeneous mosaic of forests with different ages, and support the hypothesis that forest transition is occurring in Atlantic Forest landscapes.     

Regional analysis of indirect factors affecting the recovery,degradation and deforestation in the tropical dry forests of Oaxaca,Mexico

This study evaluates the dynamics and identifies the indirect biophysical and socio‐economic factors related to the recovery, degradation and deforestation of the tropical dry forest (TDF) cover in the municipality of Tehuantepec, Oaxaca, Mexico. Annual rates and transition matrices were determined to identify indirect factors; the cartographic information of 25 variables with shift points were overlaid and Generalized Linear Models (GLM) were applied. The change process with the greatest impact in TDF during the study period (1993–2011) was degradation, with 10468 ha degraded (12 per cent of the initial tropical cover); recovery of coverage was the second most important change process, with 4808 ha (5.5 per cent); and deforestation was the change process with the lowest impact, with a loss of 2800 ha (3.23 per cent). The net balance was negative, with a decrease (through land degradation and deforestation) of 8460 ha (9.75 per cent). The recovery of coverage was mainly associated with biophysical factors such as land suitability and accessibility to natural vegetation. On the other hand, deforestation and degradation of coverage were associated with both biophysical and socioeconomic factors such as land suitability, accessibility to natural vegetation, migration, marginalization, population pressure, economy, education and health. The findings of this study determined the spatial distribution of forest recovery, deforestation and degradation processes at a regional level, allowing for future researchers to focus their efforts at local and landscape levels. Also, the work allows for an approximation of the factors associated with the change processes studied, hence supporting the allocation of resources for the establishment of management, conservation, development and restoration strategies of tropical dry forests at the regional level.     

巴西土地利用/覆盖变化时空格局及驱动因素

土地利用/覆盖变化(LUCC)是全球变化研究的热点问题之一。本文采用人机交互方法基于2005 年基准年的Landsat TM/ETM遥感影像修正欧空局GlobalCover 2005 年土地利用数据,进而采用逆时相目视解译法从1980年基准年的Landsat MSS/TM遥感影像数据提取1980-2005 年土地利用/覆盖变化信息,分析其变化的时空格局及驱动因素。结果表明:1980-2005年的25年间,巴西土地利用/覆盖变化面积达79.43万km²,占土地总面积的9.33%。其中,单纯耕地像元面积增加了20.18 万km²;耕地/自然植被镶嵌混合像元区面积增加了10.70 万km²;林地面积减少了53.12 万km²;灌丛与草地净增加21.10 万km²;水体面积增加0.46 万km²;城乡建设用地面积增加7573.87 km²。由此导致热带和亚热带湿润阔叶林生态地理区、热带和亚热带干旱阔叶林生态地理区、热带及亚热带草原生态地理区、草原和沼泽湿地生态地理区、沙漠和旱生植物生态地理区以及红树林生态地理区内分别呈现不同的土地利用/覆盖变化特征。近25 年间,地形地貌、气候、植被等自然地理条件深刻影响着土地利用的宏观格局,而土地利用政策调控、经济及对外贸易发展、人口增加及空间迁移、道路修建等是导致巴西土地利用变化的主要原因。