新疆库尔勒市土地利用变化对土壤性状的影响研究

土地利用与土地覆被变化是全球变化研究的热点问题。在新疆库尔勒市选择土地利用变化后已持续利用15－20a的9种典型利用方式,11个剖面,与荒漠、原始胡杨林2各参照利用方式3个标准剖面进行对比分析。结果显示土地利用变化对土壤养分、土壤盐分、土壤侵蚀、土壤水分和土地生产力有明显的影响,荒漠开垦后土壤养分呈下降趋势,土壤侵蚀强度也呈下降趋势,土地生产力与土壤有水分含量呈上升趋势。同时发现土壤侵蚀强度与生产力呈负相关关系,土地生产力与土壤水分呈正相关关系。林、草有利于保护干旱区生态环境,调整土地利用结构,合理开垦,加之预防和治理措施在一定程度上可防止或减弱土地退化（荒漠化）进程。     

A Land System representation for global assessments and land‐use modeling

Current global scale land‐change models used for integrated assessments and climate modeling are based on classifications of land cover. However, land‐use management intensity and livestock keeping are also important aspects of land use, and are an integrated part of land systems. This article aims to classify, map, and to characterize Land Systems (LS) at a global scale and analyze the spatial determinants of these systems. Besides proposing such a classification, the article tests if global assessments can be based on globally uniform allocation rules. Land cover, livestock, and agricultural intensity data are used to map LS using a hierarchical classification method. Logistic regressions are used to analyze variation in spatial determinants of LS. The analysis of the spatial determinants of LS indicates strong associations between LS and a range of socioeconomic and biophysical indicators of human‐environment interactions. The set of identified spatial determinants of a LS differs among regions and scales, especially for (mosaic) cropland systems, grassland systems with livestock, and settlements. (Semi‐)Natural LS have more similar spatial determinants across regions and scales. Using LS in global models is expected to result in a more accurate representation of land use capturing important aspects of land systems and land architecture: the variation in land cover and the link between land‐use intensity and landscape composition. Because the set of most important spatial determinants of LS varies among regions and scales, land‐change models that include the human drivers of land change are best parameterized at sub‐global level, where similar biophysical, socioeconomic and cultural conditions prevail in the specific regions.     

土地利用变化对东北温带幼龄林土壤碳氮磷含量及其化学计量特征的影响

土地利用方式的改变打破森林生态系统原有的碳氮磷平衡,从而显著地影响森林生态系统的生物地球化学循环过程。以地段相邻、林龄相同(10年生)、原始植被一致但土地利用方式不同(无土壤翻动的天然次生林[NS]、间作大豆而土壤翻动中等的人工林[MS]、间作人参而土壤翻动严重的次生林[SS])的温带幼龄林为对象,探索土地利用变化对土壤碳、氮、磷含量及相互关系的影响。结果显示:(1)土地利用方式显著改变表层和深层土壤碳含量,各土壤层次碳含量均呈现NSMSSS;而氮含量仅在0—20 cm具有显著性差异(P0.05);不同土地利用类型之间磷含量无显著差异(P0.05);表明碳氮磷对土地利用变化敏感程度不同。(2)SS土壤碳氮比(C/N)和碳磷比(C/P)低于NS和MS,而NS和MS之间C/N和C/P因土壤层次而异。不同土壤层次氮磷比(N/P)均随土壤翻动强度的增加而显著减小(NSMSSS,P0.05),且随土层加深而降低;表明N/P相对于C/N和C/P可能对土地利用变化具有更优生态指示功能。(3)土地利用变化显著改变土壤碳-氮、碳-磷、氮-磷的耦合关系。土壤碳-氮(C-N)之间存在极显著(P0.001)的线性关系,其中3种土地利用方式的土壤C-N关系的斜率差异不显著(P=0.458,共同斜率为11.1),但截距差异显著(P0.001)。结合本地区和全球文献数据分析指出,森林土壤碳氮关系既有大尺度上的普适性,又有小尺度上对土地利用方式响应的局域分异性。     

南疆生态脆弱区土地利用变化及其生态影响评价--以新疆阿克苏市为例

在城市化速度加快的背景下,研究LUCC对生态脆弱区的生态环境影响过程,对了解区域生态环境变化具有重要意义。利用南疆生态脆弱区———阿克苏市1995、2000和2003年的TM遥感影像,采用景观生态学的空间格局指数对城乡土地利用动态变化特征进行了研究,参照Costanza等对全球不同生态系统类型服务功能价值测算结果的比例关系,分析了阿克苏市城乡土地利用类型的生态价值,定量综合评价了阿克苏市城乡区域LUCC的生态影响。结果表明,阿克苏市域景观总体构成表现为景观破碎度较高,斑块数目较多;农业用地中有近半数不稳定,水土条件差致使农用地和未利用地相互转换。研究时段内市域土地利用变化带来了较好的生态影响,土地利用生态效益持续提高,并表现出了较大空间差异。     

Land cover change or land‐use intensification: simulating land system change with a global‐scale land change model

Land‐use change is both a cause and consequence of many biophysical and socioeconomic changes. The CLUMondo model provides an innovative approach for global land‐use change modeling to support integrated assessments. Demands for goods and services are, in the model, supplied by a variety of land systems that are characterized by their land cover mosaic, the agricultural management intensity, and livestock. Land system changes are simulated by the model, driven by regional demand for goods and influenced by local factors that either constrain or promote land system conversion. A characteristic of the new model is the endogenous simulation of intensification of agricultural management versus expansion of arable land, and urban versus rural settlements expansion based on land availability in the neighborhood of the location. Model results for the OECD Environmental Outlook scenario show that allocation of increased agricultural production by either management intensification or area expansion varies both among and within world regions, providing useful insight into the land sparing versus land sharing debate. The land system approach allows the inclusion of different types of demand for goods and services from the land system as a driving factor of land system change. Simulation results are compared to observed changes over the 1970–2000 period and projections of other global and regional land change models.     

Land use changes and conservation threats in the eastern Selous–Niassa wildlife corridor,Nachingwea, Tanzania

Selous–Niassa miombo woodland ecosystem has been and continues to face conservation threats. Understanding of changes happening in such ecosystem overtime is important for establishing management baseline data. This study identified land use changes, socio‐economic factors and conservation threats to the Selous–Niassa wildlife corridor across Nachingwea district, Tanzania. Landsat images of 1978, 1993 and 2000 were used to assess land use changes. Household survey was conducted to obtain socio‐economic data; logistic regression model was used to analyse the data. In 15 years (1978–1993) cultivated land only increased by 131% while forestlands decreased by 8.7%. In 12 years (1993–2005) cultivated land increased by 65.6% while forestland decreased by 10.7%. Land cover change per year has been found 0.54% relatively low compared to national land cover change of 45%per year. Land tenure, shifting cultivation and crops prices were major factors influencing land use changes while wildfires, farm encroachment and illegal timber harvesting were major conservation threats. Basing on the results, it was recommended that there is a need for a government to introduce community‐based natural resource management plans to improve natural resource utilization and reduce human stress to the corridor.     

深圳市大鹏半岛土地利用变化对植被覆盖动态的影响

城市化背景下的植被覆盖动态研究对于区域生态保护工作具有重要的指导意义.利用深圳市1995-2007年的遥感数据以及1996和2007年土地变更调查资料,基于归一化植被指数轨迹追踪分析和叠图代数计算方法,对大鹏半岛植被覆盖动态类型及其空间分异、土地利用变化结构和格局特征以及土地利用变化与植被覆盖动态之间的响应关系进行研究.结果表明：1995-2007年,研究区65%的地区植被覆盖发生显著改变,植被覆盖状况总体趋于好转;城市化和商品农业发展是该区土地利用动态变化的主要成因,研究时段内31%的地表发生了用地功能转变;土地利用变化是区内植被覆盖发生改变的重要成因之一,约35%的植被覆盖出现退降过程区域与土地功能转变有关;55%的用地功能转变区域因机械干扰导致植被覆盖退化,但至研究期末,大多数退化区域已经进入植被覆盖显著改善阶段.     

基于长时间序列landsat数据的科尔沁沙地土地利用演变分析

以科尔沁沙地沙丘-草甸过渡带区域主要土地覆被类型为研究对象,以1987-2017年多时相Landsat TM/OLI遥感影像解译分类为基础,参考生态学植被演替研究方法,系统分析研究区30年来的土地利用/覆被动态演变规律,研究结果表明：（1）决策树法在复杂下垫面不同覆被类型的同步识别效果较好,所有影像分类精度均达到88%以上,分类效果较好,其中2017年分类精度最高为95.24%,达到了分类研究的要求;（2）研究区存在着"半灌丛-草甸地-灌丛"的植被结构特征,且整体表现为"南进北退"的变化趋势。结合土地利用动态度分析结果表明人类活动干涉下,研究区整体上遵循了半干旱区植被条件改善的一般规律,侧面反映该研究区域生态环境的持续不稳定性和脆弱性;（3）研究区覆被类型发生变化的总面积达到2623.59 hm²,总变化强度为63.76%。其中正向演替的比例为52.61%,以半灌丛面积的持续减小与沙地草甸面积的持续扩张为主要变化特征。但同时,半灌丛转为沙地的面积为184.95 hm²,表明以放牧为主的研究区同时发生着局部的逆行演变;（4）质心迁移结果反映了1987-2017年间,除人为影响较大的林地、草地以及耕地向北迁移外,其他植被类型的质心都有很明显的南迁,主要植被类型重心迁移距离依次由大到小为耕地 > 半灌丛 > 灌丛 > 沙地草甸 > 湿地草甸 > 林地。研究通过记录科尔沁沙地连续扩展的时空模式,展示了遥感-生态和时间序列影像在30 m分辨率下跟踪土地利用/覆被变化的潜力,为提高干旱半干旱区土地利用情况的动态监测效率,开展土地利用/覆被动态演变研究提供参考。     

Rapid redistribution of agricultural land alters avian richness,abundance, and functional diversity

The conversion of natural, or seminatural, habitats to agricultural land and changes in agricultural land use are significant drivers of biodiversity loss. Within the context of land‐sharing versus land‐sparing debates, large‐scale commercial agriculture is known to be detrimental to biodiversity, but the effects of small‐scale subsistence farming on biodiversity are disputed. This poses a problem for sustainable land‐use management in the Global South, where approximately 30% of farmland is small‐scale. Following a rapid land redistribution program in Zimbabwe, we evaluated changes in avian biodiversity by examining richness, abundance, and functional diversity. Rapid land redistribution has, in the near term, resulted in increased avian abundance in newly farmed areas containing miombo woodland and open habitat. Conversion of seminatural ranched land to small‐scale farms had a negative impact on larger‐bodied birds, but species richness increased, and birds in some feeding guilds maintained or increased abundance. We found evidence that land‐use change caused a shift in the functional traits of the communities present. However, functional analyses may not have adequately reflected the trait filtering effect of land redistribution on large species. Whether newly farmed landscapes in Zimbabwe can deliver multiple benefits in terms of food production and habitat for biodiversity in the longer term is an open question. When managing agricultural land transitions, relying on taxonomic measures of diversity, or abundance‐weighted measures of function diversity, may obscure important information. If the value of smallholder‐farmed land for birds is to be maintained or improved, it will be essential to ensure that a wide array of habitat types is retained alongside efforts to reduce hunting and persecution of large bird species.     

Land use for animal production in global change studies: Defining and characterizing a framework

Land use for animal production influences the earth system in a variety of ways, including local‐scale modification to biodiversity, soils, and nutrient cycling; regional changes in albedo and hydrology; and global‐scale changes in greenhouse gas and aerosol concentrations. Pasture is furthermore the single most extensive form of land cover, currently comprising about 22–26% of the earth's ice‐free land surface. Despite the importance and variable expressions of animal production, distinctions among different systems are effectively absent from studies of land use and land cover change. This deficiency is improving; however, livestock production system classifications are rarely applied in this context, and the most popular global land cover inventories still present only a single, usually poorly defined category of “pasture” or “rangeland” with no characterization of land use. There is a marked lack of bottom‐up, evidence‐based methodology, creating a pressing need to incorporate cross‐disciplinary evidence of past and present animal production systems into global change studies. Here, we present a framework, modified from existing livestock production systems, that is rooted in sociocultural, socioeconomic, and ecological contexts. The framework defines and characterizes the range of land usage pertaining to animal production, and is suitable for application in land use inventories and scenarios, land cover modeling, and studies on sustainable land use in the past, present, and future.     

土地利用变化对土壤有机碳的影响研究进展

土壤有机碳是陆地碳库的重要组成部分,也是当前全球碳循环和全球变化研究的热点。土地利用/覆被变化及土地管理变化通过影响土壤有机碳的储量和分布,进而影响温室气体排放和陆地生态系统的碳通量。研究土地利用变化影响下的土壤有机碳储量及其动态变化规律,有助于加深理解全球气候变化与土地利用变化之间的关系。在阅读国内外有关文献的基础上,分别从土地利用及其管理方式变化的角度,概括了土地利用变化对土壤有机碳的影响过程与机理;针对当前研究的两大类方法,即实验方法和模型方法,分类详细介绍了它们各自的特点以及存在的一些问题。在此基础上,提出今后土地利用变化对土壤有机碳影响研究的发展趋势。     

Anthropogenic disturbance and streams: land use and land‐use change affect stream ecosystems via multiple pathways

1. Ecosystems are strongly influenced by land use practices. However, identifying the mechanisms behind these influences is complicated by the many potential pathways (often indirect) between land use and ecosystems and by the long‐lasting effects of past land use. To support ecosystem restoration and conservation efforts, we need to better understand these indirect and lasting effects. 2. We constructed structural equation models (SEM) to evaluate the direct and indirect effects of contemporary (2002) land use (agriculture and development) and change in land use from 1952 to 2002 on present‐day streams (n = 190) in Maryland, U.S.A. Additional variables examined included site location, system size, altitude, per cent sand in soils, riparian condition, habitat quality, stream water NO₃‐N and benthic macroinvertebrate and fish measures of stream condition. Our first SEM (2002 Land Use) included the proportions of contemporary agriculture and development in catchments in the model. The second SEM (Land Use Change) included five measures of land use change (proportion agricultural in both times, developed in both times, agricultural in 1952 and developed in 2002, forested in 1952 and developed in 2002 and agricultural in 1952 and forested in 2002). 3. The data set fit both SEMs well. The 2002 Land Use model explained 71% of variation in NO₃‐N and 55%, 42% and 38% of variation in riffle quality, macroinvertebrate condition and fish condition, respectively. The Land Use Change model explained similar amounts of variation in NO₃‐N (R² = 0.72), riffle quality (R² = 0.57) and macroinvertebrate condition (R² = 0.44) but slightly more variation in fish condition (R² = 0.43). 4. Both models identified pathways through which landscape variables affect stream responses, including negative direct effects of latitude on macroinvertebrate and fish conditions and positive direct and indirect effects of altitude on NO₃‐N, riffle quality and macroinvertebrate and fish conditions. The 2002 Land Use model showed contemporary development and agriculture had positive total effects on NO₃‐N (both through direct pathways); contemporary development had negative effects on macroinvertebrate condition. The Land Use Change model showed that contemporary developed land that was forested in 1952 had no effects on NO₃‐N; current developed land that was developed or agricultural in 1952 showed positive effects on NO₃‐N. Forests that were agricultural in 1952 had negative effects on NO₃‐N, suggesting reduced NO₃‐N export with reforestation. The Land Use Change model also showed negative total effects of all types of contemporary developed land (developed, agricultural or forested in 1952) on benthic condition. Developed land that was forested in 1952 had negative effects on fish condition. Forest sites that were agricultural in 1952 had negative effects on fish and macroinvertebrate conditions, suggesting a long‐term imprint of abandoned agriculture in stream communities. 5. Our analyses (i) identified multiple indirect effects of contemporary land use on streams, (ii) showed that current land uses with different land use histories can exhibit different effects on streams and (iii) demonstrated an imprint of land use lasting >50 years. Knowledge of these indirect and long‐term effects of land use will help to conserve and restore streams.     

Land Use Intensification and Disintensification in the Upper Cañete Valley, Peru

Farmers in the Upper Cañete valley have both disintensified and intensified land use. The direction of land use change depends on the production zone in which it takes place. Although land in the distant rainfed agropastoral zone is disintensified through land abandonment and an increase of the fallow period, land in the nearby irrigated agropastoral zone is intensified through more frequent cropping, and the use of high-yielding potato varieties, fertilizers, and pesticides. Simultaneous intensification and disintensification contradicts Boserup's theory of agricultural intensification, which predicts unilinear change for all land use systems within a village territory. Population has decreased in the Upper Cañte valley, but this factor alone cannot explain the dynamics of land use. Land use change is also driven by differences and complementarity between production zones, their distance from the villages, and social, economic, and technological change.     

Downscaling land‐use data to provide global 30″ estimates of five land‐use classes

Land‐use change is one of the biggest threats to biodiversity globally. The effects of land use on biodiversity manifest primarily at local scales which are not captured by the coarse spatial grain of current global land‐use mapping. Assessments of land‐use impacts on biodiversity across large spatial extents require data at a similar spatial grain to the ecological processes they are assessing. Here, we develop a method for statistically downscaling mapped land‐use data that combines generalized additive modeling and constrained optimization. This method was applied to the 0.5° Land‐use Harmonization data for the year 2005 to produce global 30″ (approx. 1 km²) estimates of five land‐use classes: primary habitat, secondary habitat, cropland, pasture, and urban. The original dataset was partitioned into 61 bio‐realms (unique combinations of biome and biogeographical realm) and downscaled using relationships with fine‐grained climate, land cover, landform, and anthropogenic influence layers. The downscaled land‐use data were validated using the PREDICTS database and the geoWiki global cropland dataset. Application of the new method to all 61 bio‐realms produced global fine‐grained layers from the 2005 time step of the Land‐use Harmonization dataset. Coarse‐scaled proportions of land use estimated from these data compared well with those estimated in the original datasets (mean R²: 0.68 ± 0.19). Validation with the PREDICTS database showed the new downscaled land‐use layers improved discrimination of all five classes at PREDICTS sites (P < 0.0001 in all cases). Additional validation of the downscaled cropping layer with the geoWiki layer showed an R² improvement of 0.12 compared with the Land‐use Harmonization data. The downscaling method presented here produced the first global land‐use dataset at a spatial grain relevant to ecological processes that drive changes in biodiversity over space and time. Integrating these data with biodiversity measures will enable the reporting of land‐use impacts on biodiversity at a finer resolution than previously possible. Furthermore, the general method presented here could be useful to others wishing to downscale similarly constrained coarse‐resolution data for other environmental variables.     

科尔沁沙地沙漠化土地恢复面临的挑战

对科尔沁沙地近50年来沙漠化土地面积、水资源可利用性、土地利用与草地植物生产力的变化进行了分析.结果发现：科尔沁沙地的土地沙漠化在经历了20世纪50—80年代中期的快速发展之后,80年代后期发生了逆转.在过去的50年中,西辽河径流量持续减小,1999年在西辽河中游的内蒙古自治区通辽市段断流;近20年来,位于科尔沁沙地腹地的西湖水位下降近10 m, 2001年干涸.科尔沁沙地草场的地上生物量由1937年的520 g·m^-2下降到2005年的197 g·m^-2.产生这种结果的主要原因是土地利用方式的变化,即基于灌溉的沙漠化治理规模的扩大和灌溉农田面积的增加,导致用水量增加.这也是科尔沁沙地实现土地沙漠化持续逆转面临的严峻挑战.     

土地利用变化模拟研究进展

土地利用变化研究经历了近30年的快速发展,学者基于不同建模目标构建出多种土地利用变化模型,实现了从数量模拟到时空格局模拟,从单一模型向多种模型耦合的跨越。当前研究主要在元胞自动机(Cellular Automata,CA)模型和CLUE-S (Conversion of Land Use and its Effects at Small region extent)模型的基础上进行改进,马尔科夫模型、系统动力学(System Dynamics,SD)模型、Logistic回归和随机森林等均可计算CA模型和CLUE-S模型中所需的土地利用需求,多标准评价、地理加权回归、多主体模型以及人工神经网络等方法也多被用于CA模型的扩展,而CLUE-S的改进则存在模型本身系列的升级。这些模型广泛应用于各种区域和尺度土地利用变化预测实例研究并研发软件系统和数据集。驱动力分析主要从自然因素与人文因素两方面进行,人文因素是引发土地利用变化的主要因素。在目前的研究中,由于技术手段的限制,仍然存在时空尺度、数据误差、数据整合的不确定性等问题。未来土地利用变化模拟研究应进一步发挥大数据技术优势,推动土地利用变化模拟研究朝向精细化、多元化方向发展。结合生态环境领域实际问题,深挖土地利用变化与其生态环境效应之间的互馈机制,将研究视角从探究人类活动对土地利用变化的影响逐渐转向二者相互作用,最终促进人地关系协调发展。     

黑河中游土地利用转型过程及其对区域生态质量的影响

干旱区土地利用转型作为影响区域生态系统变化的主要因素,直接关系人类福祉.本文以生态脆弱的黑河中游地区为研究对象,基于1987、2001、2016年的遥感影像数据,采用土地利用转型检测评估模型、生态响应模型系统研究了1987—2016年黑河中游地区土地利用转型的过程及其区域生态质量响应规律.结果表明: 1987—2016年,研究区土地利用转型变化显著,总变化量呈增加趋势,耕地和建设用地持续增加;在随机新增和减少状态下,未利用地向其他地类转型的倾向性不强,草地向耕地转型具有很强的倾向性;研究区生态质量总体呈下降趋势,生态用地呈缩减态势,净减少2.8%,对于生态环境退化影响最大的土地利用转型类型是草地向耕地和未利用地的转型.为促进区域土地资源的可持续利用以及改善区域生态质量状况,需根据区域水资源状况合理分配区域生产用地和生态用地的比例.     

厦门市土地利用变化下的生态敏感性

当前,城市化与全球变化背景叠加,海岸带生态系统发生了巨大的变化,沿海城市在全球变化下的脆弱性、敏感性与适应能力等问题已经成为政府和科学界关注的重要问题.土地利用变化是导致生态系统敏感性的重要因素之一.以厦门市作为沿海城市的典型代表,对近20 a土地利用变化下的生态敏感性进行系统研究.分析了城市建设用地扩张、围填海等主要土地利用活动对生态敏感性的影响机制;其次建立土地利用变化下的生态敏感性指数,并分析其变化过程;最后通过ArcGIS图层叠加计算功能,获得生态敏感性空间分布状况.结果表明:1987-2007年厦门市城市建设用地面积由1987年的67.48 km2,增加为2007年的308.21 km2,扩张了4.57倍,主要为蚕食农业用地和林地而来;海岸线长度由1987年的290.19 km,增加为1992年的343.23 km,而后减小为2007年的299.93 km,围垦养殖活动使得岸线变得曲折,填海造地活动导致岸线变得平滑.厦门市土地利用强度由1987年的2.44逐年增加为2007年的2.52,生态系统服务价值总体呈现减小的趋势,由1987年的7.39×109元减少到2007年的7.02× 109元,土地利用强度与生态系统服务价值呈现负相关关系.土地利用变化下的生态敏感性指数由1992年的1.50增加为1997年的4.94,而后减小为2002年的4.12,再增加为2007年的4.47.整体而言,近20a来厦门市生态系统对土地利用变化的敏感性灵敏响应程度不很剧烈,生态敏感性高的区域主要位于沿海区域.     

Impact of tropical land‐use change on soil organic carbon stocks – a meta‐analysis

Land‐use changes are the second largest source of human‐induced greenhouse gas emission, mainly due to deforestation in the tropics and subtropics. CO₂ emissions result from biomass and soil organic carbon (SOC) losses and may be offset with afforestation programs. However, the effect of land‐use changes on SOC is poorly quantified due to insufficient data quality (only SOC concentrations and no SOC stocks, shallow sampling depth) and representativeness. In a global meta‐analysis, 385 studies on land‐use change in the tropics were explored to estimate the SOC stock changes for all major land‐use change types. The highest SOC losses were caused by conversion of primary forest into cropland (?25%) and perennial crops (?30%) but forest conversion into grassland also reduced SOC stocks by 12%. Secondary forests stored less SOC than primary forests (?9%) underlining the importance of primary forests for C stores. SOC losses are partly reversible if agricultural land is afforested (+29%) or under cropland fallow (+32%) and with cropland conversion into grassland (+26%). Data on soil bulk density are critical in order to estimate SOC stock changes because (i) the bulk density changes with land‐use and needs to be accounted for when calculating SOC stocks and (ii) soil sample mass has to be corrected for bulk density changes in order to compare land‐use types on the same basis of soil mass. Without soil mass correction, land‐use change effects would have been underestimated by 28%. Land‐use change impact on SOC was not restricted to the surface soil, but relative changes were equally high in the subsoil, stressing the importance of sufficiently deep sampling.