北京市生态用地规划与管理对策

不合理土地开发加速了对自然生态系统的干扰和侵占,导致生态系统服务功能下降,危机区域生态安全,开展生态用地规划是构建区域生态安全格局的基础。合理规划和管理不同土地利用类型的数量和空间分布对区域可持续发展具有重要意义。目前我国广泛应用的土地利用分类体系主要以土地的社会经济属性为基础,忽视其生态属性,导致以提供生态系统服务为主、保障生态安全的土地缺乏保护机制,具有重要生态功能的土地得不到有效保护。以北京市为例,建立了北京市生态用地分类与规划的思路与程序,在明确北京市生态安全与生态系统服务功能的关系基础上分析了北京市生态系统服务功能重要性及其空间格局,并进行了北京市生态用地规划。研究规划了保障北京市生态安全的7类生态用地:地表水涵养与保护用地、地下水保护用地、生物多样性保护用地、水土保持用地、河流防护用地、公路防护用地和城市绿地,总面积5137.37km2,占北京市域面积的31.31%。最后从生态用地识别和划分、将生态用地融入土地利用分类体系、生态用地管理措施和对策3个方面探讨了生态用地规划和管理的方法与措施。研究结果为北京市土地利用规划和有效管理提供依据,也为其它地区的生态用地规划提供参考。     

Towards an integrated global framework to assess the impacts of land use and management change on soil carbon: current capability and future vision

Intergovernmental Panel on Climate Change (IPCC) Tier 1 methodologies commonly underpin project‐scale carbon accounting for changes in land use and management and are used in frameworks for Life Cycle Assessment and carbon footprinting of food and energy crops. These methodologies were intended for use at large spatial scales. This can introduce error in predictions at finer spatial scales. There is an urgent need for development and implementation of higher tier methodologies that can be applied at fine spatial scales (e.g. farm/project/plantation) for food and bioenergy crop greenhouse gas (GHG) accounting to facilitate decision making in the land‐based sectors. Higher tier methods have been defined by IPCC and must be well evaluated and operate across a range of domains (e.g. climate region, soil type, crop type, topography), and must account for land use transitions and management changes being implemented. Furthermore, the data required to calibrate and drive the models used at higher tiers need to be available and applicable at fine spatial resolution, covering the meteorological, soil, cropping system and management domains, with quantified uncertainties. Testing the reliability of the models will require data either from sites with repeated measurements or from chronosequences. We review current global capability for estimating changes in soil carbon at fine spatial scales and present a vision for a framework capable of quantifying land use change and management impacts on soil carbon, which could be used for addressing issues such as bioenergy and biofuel sustainability, food security, forest protection, and direct/indirect impacts of land use change. The aim of this framework is to provide a globally accepted standard of carbon measurement and modelling appropriate for GHG accounting that could be applied at project to national scales (allowing outputs to be scaled up to a country level), to address the impacts of land use and land management change on soil carbon.     

中国土地利用多功能性动态的区域分析

当前,国际学术界针对土地利用的研究正由土地利用格局变化向土地空间多功能变化及其可持续性的方向发展,其宗旨是确定和度量土地多元化利用所提供的产品、服务和功能,及其带来的环境和社会经济效应,实现对土地利用的科学管理。基于可持续发展三维度的理念及其指标体系,界定并定量评价了我国区域土地利用的10项功能,深入研究了在经济快速发展、生态环境保护紧密相随的过去20a间,各项功能的时空变化特征。研究表明,我国土地多功能性的10项功能中,就业支持功能表现出区域增减不一的特点,生态过程维持功能具有高度的稳定性。健康保障、交通功能、居住家园、生物性土地生产、人工化土地生产、资源供给与维持、污染接收器、景观与文化支持功能在各个区域得到了不断改善与提高,但各个功能变化的强势区和弱势区在时空分布上表现出了很强的区域性特点。区域自然条件禀赋、社会经济条件以及土地利用政策在功能变化中起着关键作用。研究结果揭出中国区域土地多功能性尚存在巨大的提升空间;土地政策应具有系统性、功能针对性和时空针对性,并应关注土地利用功能变化的链发效应。     

Hotspots of uncertainty in land‐use and land‐cover change projections: a global‐scale model comparison

Model‐based global projections of future land‐use and land‐cover (LULC) change are frequently used in environmental assessments to study the impact of LULC change on environmental services and to provide decision support for policy. These projections are characterized by a high uncertainty in terms of quantity and allocation of projected changes, which can severely impact the results of environmental assessments. In this study, we identify hotspots of uncertainty, based on 43 simulations from 11 global‐scale LULC change models representing a wide range of assumptions of future biophysical and socioeconomic conditions. We attribute components of uncertainty to input data, model structure, scenario storyline and a residual term, based on a regression analysis and analysis of variance. From this diverse set of models and scenarios, we find that the uncertainty varies, depending on the region and the LULC type under consideration. Hotspots of uncertainty appear mainly at the edges of globally important biomes (e.g., boreal and tropical forests). Our results indicate that an important source of uncertainty in forest and pasture areas originates from different input data applied in the models. Cropland, in contrast, is more consistent among the starting conditions, while variation in the projections gradually increases over time due to diverse scenario assumptions and different modeling approaches. Comparisons at the grid cell level indicate that disagreement is mainly related to LULC type definitions and the individual model allocation schemes. We conclude that improving the quality and consistency of observational data utilized in the modeling process and improving the allocation mechanisms of LULC change models remain important challenges. Current LULC representation in environmental assessments might miss the uncertainty arising from the diversity of LULC change modeling approaches, and many studies ignore the uncertainty in LULC projections in assessments of LULC change impacts on climate, water resources or biodiversity.     

山地社区土地资源可持续管理评估

从联合国粮农组织提出的土地资源可持续管理目标出发 ,采用层次分析法 (AHP) ,以西双版纳地区爱尼族大卡老寨为研究点 ,选择 4 1个因素作为参评变量 ,建立区域土地可持续管理评价指标体系。评估结果表明 ,目前大卡老寨的土地经营管理仍处于初步可持续管理的前期阶段。主要因为土地生产力过低 ,其他保护性、安全性、生产性均处于较低水平。作者针对提出了改变土地经营模式等参考建议 :1发展生态农业模式 ,提高土地生产率 ;2应用科技成果 ,提高良种普及率 ;3保护耕地 ,推进规模经营 ;4充分发挥森林的经济、生态和社会效益 ;5提高人口素质 ,改变就业结构     

城市土地利用异质性对湖泊水质的影响

土地利用类型与水体水质之间存在显著相关关系,这种相关关系受到土地利用类型及其空间分布的影响.人类活动造成流域中不同汇水单元间土地利用异质性,进而影响和改变了汇水单元水质状况.在自然或半自然区域内,采用多个汇水单元的综合分析能够体现出流域土地利用类型与水质的相关关系.然而,在城市区域中,可能存在由于土地利用特征差异而导致这种相关关系的抵消和降低,致使分析结果与实际存在偏差.为证实这一现象的存在,选取武汉市汉阳地区龙阳湖等4个湖泊流域为研究对象,分别从汇水单元综合分析、以影响水质的主要用地类型作为变量进行聚类分析和以湖泊流域为对象的分析等3个角度,分析汇水单元间的土地利用特征差异对水质的影响,结果显示土地利用异质性影响甚至改变了土地利用类型与水质的相关关系.因此,在研究城市土地利用与水体水质相关性时,需要同时考虑土地利用类型的特征和格局.     

1975—2015年南四湖自然保护区生态系统服务价值时空变化分析

南四湖自然保护区具有较高的生态保护地位和经济价值。研究以南四湖自然保护区1975—2015年8期土地利用类型数据为基础, 借助SPSS、ArcGIS等软件, 分析南四湖自然保护区近40年土地利用变化及其对生态系统服务价值时空分布的影响。结果表明: 1975—2015年水体始终是南四湖自然保护区的优势土地利用类型。40年间未利用地面积减少88.90% (8807.68 hm2), 而水田、草地、旱地、建成区、林地和水体面积分别增加4626.45 hm2、405.06 hm2、1660.67 hm2、401.54 hm2、76.76 hm2和1621.60 hm2。40年间南四湖自然保护区的生态系统服务总价值增加了0.03% (1.13×106 US$), 其中支持服务功能价值减少1.14×107 US$, 文化服务功能价值减少5.61×106 US$, 供给服务功能价值减少2.15×106 US$, 仅调节服务功能价值增加2.02×107 US$。表现在空间上则是自然保护区西侧生态系统服务价值变化较东侧更为明显。导致1975—2015年生态系统服务价值变化的主要影响因子是水体和未利用地面积的改变, 生态系统服务价值与水体面积呈现显著正相关, 与未利用地呈现显著负相关。研究结果能为南四湖自然保护区的土地利用决策提供理论支持。     

基于CLUE-S模型的不同情景下区域土地利用布局优化

土地利用规划要求把土地资源最终配置在空间上,而现有文献更多是对土地利用结构的优化,很少对全局土地利用布局优化,鉴于此,为减轻土地利用规划的多目标冲突,同时为提高资源配置效率,释放空间效应,对不同情景下的土地利用布局优化进行研究。用非线性优化模型中的理想点法求取了不同情景下最优土地利用结构,用Logistic回归提取了不同用地的优化布局规则,以不同情景下的土地优化结构为数量约束,借助CLUE-S模型的全局配置能力对各情景下的用地布局作优化,并以扬州市为实例进行阐述。结果表明:(1)优先发展经济情景下,2025年扬州土地利用经济产值是10.4×10~7万元,优先保护生态情景下,目标年生态服务价值是9.7×10~5万元,保障公众福利情景下,公众福利大小是351271 hm~2;(2)经济增长目标对土地利用结构的情景变化最为敏感,而公众福利目标的敏感性最小;(3)与基期年比,发展经济与保育生态情景下的土地优化布局变化最大,前者主要是市区城镇工矿用地向东部及西北扩张,后者则是在西南丘陵及南部长江岸边配置了大量园地、林地。提出的不同情景下土地利用布局的优化方法可为土地利用规划及生态规划提供有力技术支持。     

密云水库上游流域土地利用与地表径流营养物的关系

定量刻画土地利用与水体营养物浓度的关系,有助于指导流域土地利用管理,以控制水体富营养化.以往研究较多关注土地利用的数量结构,对其强度、空间分布等刻画相对不足.本研究以密云水库上游流域为例,基于覆盖全流域52个子流域的水质采样,通过遥感解译和空间计算,提取土地利用强度、所处坡度、与河道及监测断面距离以及位置邻接关系等信息,构建土地利用与总氮、总磷和化学需氧量浓度的多元线性回归方程.结果表明: 土地利用与总氮、总磷和化学需氧量浓度回归方程的决定系数由未纳入任何信息的0.294、0.471和0.223分别增加到0.532、0.685和0.489,显著提高了模型的解释能力.在厘定每一空间位置土地利用对监测断面营养物浓度贡献率的基础上,比较与河道不同迁移路径距离下土地利用对营养物浓度的平均累积贡献率及面积累计百分比,确定了距离河道1 km范围内的河岸带为水体富营养化的关键控制范围.最后提出了优化农田施肥管理、加强牲畜粪便处理、建设林地过滤带和河岸缓冲带等水质污染控制和调控的措施建议.     

城市土地利用变化对生态系统服务的影响——以淮北市为例

城市是一类以人类活动为中心的社会-经济-自然复合生态系统.城市的快速蔓延及强烈的人类活动显著地改变了城市的土地利用结构,进而严重影响了城市生态系统服务及人居环境.通过遥感、GIS技术及生态系统服务价值评估等方法,对淮北市1987年、2000年和2007年3个时期20a间的土地利用结构及生态系统服务价值的演变进行定量评价.研究结果表明:1987-2007年间淮北市生态用地空间结构和面积发生剧烈变化,生态用地占城市面积的比例由91.45％降低至71.86％.1987-2000年,农田面积大幅度下降,而林地和水体都呈不同程度的增加趋势,建设用地面积增长迅速.2000-2007年,农田面积有所增加,林地和水体面积却明显下降,建设用地总面积虽然没有明显变化,但其聚集度显著增加.20年间,城市生态服务功能的价值呈现先增加后减少的趋势,在2000年达31.32亿元.2000-2007年,以废物处理和水源涵养功能退化最为严重.可见,城市土地利用结构的变化与生态服务功能密切相关,此结果可为淮北市景观格局优化及土地合理调控和管理提供一定的科学依据.     

Extensive land use and the logic of the latifundio: A case study in Guanacaste Province,Costa Rica

Traditional explanations of extensive land use on large unproductive estates in Latin American have failed to understand important aspects of the economic and political logic behind such enterprises. This article examines the reasons for the low productivity of cattle ranches over a period which spans the consolidation of haciendas in a frontier zone and their subsequent integration into the international beef market. The persistence of extensive land use in a modern export economy is explained as resulting from characteristics of the world beef market, local ecology, the Costa Rican credit and tax systems, and the social composition and political power of the landowning class.     

Land Transitions in the Tropics: Going Beyond the Case Studies

Estimates of the percent of Earth's land surface that has either been transformed or degraded by human activity range between 39 and 50 percent, with agriculture accounting for the vast majority of these changes. Although much of the focus of research on land use and cover change in the tropics has been on deforestation, ongoing socioeconomic changes both locally and globally have made land transitions in the tropics extremely fluid. In addition, feedbacks between land cover change and human behavior constrain the extent and trajectories of land transitions. The sustainability of land use systems in the tropics depends on an understanding of coupled human–natural systems that can lead to general frameworks for management and prediction. The unprecedented availability of land use/cover data together with ecological data collected at large spatial scales offer exciting opportunities for advancing our understanding of socioecological systems. We rely on six studies of land transitions in the tropics to illustrate some promising approaches and pose critical questions to guide this body of research.     

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。     

Land use and cover with intensity of agriculture for Canada from satellite and census data

Aim To develop the first national databases on land use and agricultural land use intensity in Canada for a wide variety of environmental monitoring applications. Location Canada. Methods In this paper, we describe a new system for the construction of both land use and land use intensity (within agricultural regions) called LUCIA (land use and cover with intensity of agriculture). Our methodology combines the highly detailed Canadian Census of Agriculture and recent growing season composites derived from the SPOT4/VEGETATION sensor. Census data are of much coarser resolution than the remotely sensed data but, by removing non‐agricultural pixels from each census sampling area, we were able to refine the census data sufficiently to allow their use as ground truth data in some areas. The ‘refined’ census data were then used in the final step of an unsupervised classification of the remotely sensed data. Results and main conclusions The results of the land use classification are generally consistent with the input census data, indicating that the LUCIA output reflects actual land use trends as determined by national census information. Land use intensity, defined as the principal component of census variables that relate to agricultural inputs and outputs (e.g. chemical inputs, fertilizer inputs and manure outputs), is highest in the periphery of the great plains region of central Canada but is also very high in southern Ontario and Québec.     

Changes in Soil Properties Following 55 Years of Secondary Forest Succession at Fort Benning,Georgia, U.S.A.

We present results on changes in soil properties following land use change over an approximately 55‐year period at Fort Benning, Georgia, U.S.A. Soil cores were taken at 129 locations that were categorized as reforested (field/bare ground in 1944 and forest in 1999), disturbed (field/bare ground in 1944 and 1999), or reference forests (forest in 1944 and 1999). Soil disturbance included historic agriculture (pre‐1944) and military training (post‐1944). Density in mineral soils exhibited a historic land use legacy effect (reference < reforested < disturbed). Rates of change in bulk density decreased with depth and estimated total times to reach reference forest levels ranged from 83 (0–10 cm) to 165 (30–40 cm) years. A land use legacy effect on C stock was apparent in the O‐horizon and in 30‐ to 40‐cm soil increment (reference > reforested > disturbed). Soil C stock in all other increments and in particulate organic matter was affected by disturbance; however, no legacy was apparent (reference = reforested > disturbed). For the entire soil profile (O‐horizon to 40 cm), rate of C accrual was 28 g m⁻² yr⁻¹ (1.5%/yr). Nitrogen stocks were affected by disturbance in the O‐horizon and 0‐ to 10‐cm increment; however, no legacy effect was detected (reference = reforested > disturbed). Nitrogen accumulated at 0.56 g m⁻² yr⁻¹ (0.6%/yr) for the entire soil profile. At Fort Benning, soil C and N stocks of reforested stands were similar to those of reference forested stands after approximately 55 years. However, soil bulk density was greater on reforested stands than reference forest stands at 55 years and may require an additional century to reach reference levels.     

重庆市土地利用冲突多尺度时空演化与多情景演化模拟

土地利用冲突是区域土地开发利用过程中存在的客观问题,对区域经济社会发展和生态安全具有重要影响。识别、测度区域土地利用冲突,明晰其时空演化格局,有助于优化区域土地利用结构,促进土地资源的可持续利用。以重庆市为例,基于景观格局构建了土地利用冲突测度模型,从县域、镇域以及格网3个尺度全面和系统地分析了1995-2020年重庆市土地利用冲突的时空演化特征,并耦合多目标规划(Multi-Objective Programming,MOP)-斑块生成土地利用变化模拟模型(Ptach-generating Land Use Simulation,PLUS)模拟了重庆市2030年不同发展情景下土地利用冲突格局。结果表明:(1)1995-2020年重庆市县域、镇域与格网不同尺度下的土地利用冲突格局具有较大相似性,不同尺度的土地利用重度冲突区主要分布在重庆中心城区及周边地区,区县建成区。土地利用一般冲突区主要分布于渝东南和渝东北地区。研究期内土地利用冲突有所加剧,其中土地利用重度冲突区占比增加了3.09%。(2) 1995-2005年重庆市土地利用冲突区主体位于乡村地域,但冲突程度较低,随着工业化、城市化进程及人口的集聚,2005年后土地利用冲突热点区域的城市地域集聚效应显著,城市及周边地区土地利用冲突区面积和土地利用冲突度均显著提升。(3) 区域土地利用冲突空间格局不仅受到了人为经济社会活动的驱动影响,在空间格局上受自然生态环境基底影响显著,其中地形地貌的限制加剧了土地利用重度冲突区。(4)不同发展情景模拟中经济优先发展情景下土地利用冲突最为严重,生态优先发展情景下土地利用冲突最小,可持续发展情景兼顾了经济和生态发展的用地需求,土地利用冲突强度处于中间范围,但区域发展总福利最大,是未来区域发展路径最优选择。