Land-use and land-cover effects on regional biodiversity distribution in a subtropical dry forest: a hierarchical integrative multi-taxa study

Latin American subtropical dry ecosystems have experienced significant human impact for more than a century, mainly in the form of extensive livestock grazing, forest products extraction, and agriculture expansion. We assessed the regional-scale effect of land use and land cover (LULC) on patterns of richness distribution of trees, birds, amphibians, and mammals in the Northern Argentine Dry Chaco (NADC) over c. 19 million hectares. Using species distribution models in a hierarchical framework, we modeled the distributions of 138 species. First, we trained the models for the entire Argentinean Chaco with climatic and topographic variables. Second, we modeled the same species for the NADC including the biophysical variables identified as relevant in the first step plus four LULC-related variables: woody biomass, distance to crops, density of livestock-based rural settlements (puestos), and vegetation cover. Third, we constructed species richness maps by adding the models of individual species and considering two situations, with and without LULC variables. Four, richness maps were used for assessing differences when LULC variables are added and for determining the main drivers of current patterns of species richness. We found a marked decrease in species richness of the four groups as a consequence of inclusion of LULC variables in distribution models. The main factors associated with current richness distribution patterns (both negatively) were woody biomass and density of livestock puestos. Species richness in present-day Semiarid Chaco landscapes is strongly affected by LULC patterns, even in areas not transformed to agriculture. Regional-scale biodiversity planning should consider open habitats such as grasslands and savannas in addition to woodlands.     

Landscape changes and environmental quality: the evolution of land vulnerability and potential resilience to degradation in Italy

Resilience, considered as the ability of a system to absorb and compensate pressures derived from human and natural systems, is a topic of interest in the Mediterranean region whose landscape is the joint result of social, economic and environmental factors. The present study analyses the changes in the Italian landscape over two periods (1960–1990 and 1990–2010) of the last 50 years through a composite index of environmental resilience and vulnerability to land degradation. Results indicate that the spatial distribution of this index has been considerably changed from a relatively simple geography (mainly reflecting a latitude gradient) to a more complex pattern. The level of vulnerability of southern Italian land maintained quite stable while increasing significantly in Northern and Central Italy. The (potential) resilience level decreased over time in Central and Northern Italy while growing moderately in Southern Italy. This means that important processes of environmental changes impacting landscape resilience occurred with a different spatial trend in Italy. The composite index derived from vulnerability and potential resilience estimates at the regional scale revealed crucial to map over time the increase of surface land exposed to desertification risk. Results support the adoption of measures promoting a sustainable land management in environmentally vulnerable land with low potential to resilience.     

基于CLUE-S模型的重庆市主城区土地利用情景模拟

以重庆市主城区为研究区,采用120m×120m栅格大小的数据为模拟基准,借助CLUE-S模型、情景分析法、SPSS软件及ArcGIS10.1软件建立了数量变化和空间分布变化相结合的不同情景下土地利用/覆盖变化的动态模拟模型,并对研究区不同情景下的土地利用/覆盖动态变化进行了模拟,模型综合考虑各种宏观驱动因子与土地利用变化之间的关系,较全面地考虑了多种土地利用/覆盖变化驱动因子,并利用SPSS软件进行相关性分析,确定了各因子的回归模型,提高了模拟结果的精度,通过对已有数据的模拟及精度分析,整体模拟精度达86%以上,在一定程度上反映了该模型在研究高分辨率土地利用/覆盖变化方面有很好的适应性,对土地利用/覆盖变化的复杂性研究和相关部门对土地布局、规划方面具有一定的参考价值。模拟结果表明:到2030年湿地、人工用地、林地将增加,耕地和其它用地减少,草地在不同的情景下均有稍微的增加,耕地和人工用地是变化最大的两种类型,随着时间的推移耕地和林地面积不断接近甚至持平,研究区西部及西南部变化比较明显。     

Combining remote sensing and household level data for regional scale analysis of land cover change in the Brazilian Amazon

Land cover change in the Brazilian Amazon depends on the spatial variability of political, socioeconomic and biophysical factors, as well as on the land use history and its actors. A regional scale analysis was made in Rondônia State to identify possible differences in land cover change connected to spatial policies of land occupation, size and year of establishment of properties, accessibility measures and soil fertility. The analysis was made based on remote sensing data and household level data gathered with a questionnaire. Both types of analyses indicate that the highest level of total deforestation is found inside agrarian projects, especially in those established more than 20 years ago. Even though deforestation rates are similar inside and outside official settlements, inside agrarian projects forest depletion can exceed 50% at the property level within 10–14 years after establishment. The data indicate that both small-scale and medium to large-scale farmers contribute to deforestation processes in Rondônia State encouraged by spatial policies of land occupation, which provide better accessibility to forest fringes where soil fertility and forest resources are important determinants of location choice.     

不同土地利用类型的地表特征参量的遥感反演研究——以猫跳河流域为例

利用2007年5月Lansat5 TM数据,运用单通道算法,基于全国遥感监测土地利用/覆盖分类体系,对贵州省猫跳河流域的地表特征参量进行了反演,得到不同土地利用类型下的典型地表特征参数值。在3种主要的土地利用类型中,林地的植被指数最高、地表温度最低,农田的植被指数最低而地表温度最高,草地介乎林地和农田之间。城镇建设用地主要表现为热岛效应,而水域则主要表现为地表温度（LST）和归一化植被指数（NDVI）的双低特征。进一步对二级土地利用类型的分析表明,由于结构、功能的不同,土地利用二级类在地表特征参量方面也表现出了有规律地变化。有助于深入认识不同土地利用类型的物理特征,可以丰富主要土地利用类型的影像分类的先验知识,有望将不同土地利用方式的生态环境效应研究推进一步     

基于地形梯度的典型峰丛洼地区土地利用空间分布格局分析

探讨峰丛洼地区土地利用在不同地形梯度上的空间分布,对峰丛洼地区进行土地管理及生态恢复等具有重要意义。以2018年Google earth高清影像(0.5 m分辨率)和30 m×30 m DEM数据为基础,运用地形位指数、地形分布指数、多样性指数及土地利用综合程度指数等方法,分析了贵州省典型峰丛洼地区土地利用在地形梯度上的空间分布格局。结果表明:(1)4个典型峰丛洼地区土地利用类型以旱地、有林地和灌木林地为主;土地利用类型在地形梯度上具有显著的层次特点:居民点、水田、水浇地、旱地及工矿用地在低地形梯度区域具有分布优势,有林地、灌木林地在中高地形梯度上具有优势。(2)随地形梯度增加,4个研究区多样性指数和土地利用程度综合指数整体均呈现降低的变化趋势,且在低地形位上,王家寨后寨河花江茂兰,在中高地形位上,王家寨花江后寨河茂兰。由于峰丛洼地区自然环境的不同及社会经济发展和政策的影响,决定了4个研究区土地利用类型空间分布格局的差异性。研究结果可为典型峰丛洼地区进行土地利用规划和土地资源配置提供参考。     

长三角地区植被退化的空间格局及影响因素分析

植被退化是陆地生态系统功能下降的重要表征。利用2000~2010年SPOT-VEGETATION NDVI遥感数据、土地利用数据,采用趋势分析、叠加分析和格网计算方法,对长三角植被退化的空间格局及其影响因素进行分析。结果表明:10a间长三角地区最大化NDVI均值空间分布南北高、中间低,区域14%的植被覆盖面积显著退化。植被退化呈现一定的空间分异,而人类活动是导致植被退化的主要原因。在长江以南、太湖的北部与东部,环杭州湾地区及南京、南通和台州等城市快速无序的城镇化,造成了建设用地面积增加和耕地的破碎化,使植被退化区域集中连片分布。经济利益驱动农民将水田转化为向水产养殖,引起植被退化。部分区域植被面积未减少而呈退化态势的原因有待研究。     

典型流域土地利用/覆被变化预测及景观生态效应分析——以太湖上游西苕溪流域为例

以太湖上游西苕溪流域为研究区,基于1985和2002年土地利用空间数据,结合土地利用变化的驱动因子,运用马尔科夫模型和CLUE S模型,模拟了研究区2020年土地利用的空间格局;在此基础上,通过对斑块类型和景观水平上格局指数的变化分析, 揭示研究区未来土地利用/覆被变化及其景观生态效应。结果表明： 按照1985～2002年土地利用变化的发展趋势,未来研究区土地利用变化主要表现为建设用地面积大幅度增加,耕地、林地面积减小,研究区未来景观格局指数将发生较大的变化。在景观尺度上,斑块数量、边缘密度、多样性指数、均匀度指数、分维数等指标都呈增加趋势,而斑块平均面积减小,表现出景观结构破碎化、斑块形状复杂化、景观向多样性和均匀化发展的特点;而从斑块类型水平上看,各景观类型之间的景观格局指数变化差异较大,反映了生态系统的复杂性.     

丰乐河流域表层土壤有机碳空间变异特征研究

土壤有机碳含量空间变异特征的研究对于区域土壤资源的可持续利用具有重要意义。在ArcGIS技术的支持下对丰乐河流域表层土壤(0~20 cm)有机碳（SOC）含量的空间变异特征进行了研究。结果表明：丰乐河流域SOC含量为1431±4.50 g·kg-1,不同土地利用类型下SOC含量差异显著（p<001）。其中,林地SOC含量的均值最大,为1558±593 g·kg-1;水田和旱地次之（分别为1539±309 g·kg-1、1146±304 g·kg-1）;园地最小(1109±348 g·kg-1)。流域SOC含量变异系数（CV）为3144%,属中等变异程度。其中,林地的CV为3806%,在4种土地利用类型中为最大;园地、旱地的CV分别为3138%、2652%;水田的CV最小,为2007%,表明人类活动影响表层土壤有机碳含量的变异程度。研究区表层SOC半方差模型为球状模型,块金效应小于25%,存在强烈的空间自相关性,且空间变异主要由结构性因素引起。SOC含量空间分布的各向异性显著,在南北方向上变异程度最为剧烈。SOC含量空间分布表现为东北部、西南部较高,西北部偏低,总体呈斑块状分布     

基于CLUE-S模型的重庆市渝北区土地利用变化动态模拟

以重庆市渝北区为研究区域,运用CLUE-S模型,结合Logistic回归分析,分别以2007年和2009年为基期,对渝北区2013年土地利用情况进行模拟研究,在此基础上构建了渝北区2013~2020年3种不同情景的土地利用变化模式,模拟了3种情景模式下渝北区在2020年的土地利用空间分布格局。结果表明:(1)两期模拟的正确率分别达到了92.26%和94%,Kappa系数值分别为90.32%和92.5%,均取得了较好的模拟效果,说明CLUE-S模型适用于渝北区的土地利用空间格局变化的模拟研究,具有较好的模拟区域土地利用时空变化的能力;(2)地形、国道、省道、高速公路等主要道路、河流、城镇和村庄是影响渝北区土地利用空间格局变化的重要驱动因素;(3)在3种情景模式中,主要的用地格局变化均发生在两江新区,区内建设用地总体呈现向东北部扩张的趋势,表明区域经济社会发展政策对用地类型的变化具有较大的影响;(4)从促进城乡统筹和谐发展、土地节约集约利用、生态环境显著改善和保护耕地的区域发展目标而言,情景模式2为较为合理的发展模式。研究结果可为决策部门在土地可持续利用和土地管理方面提供参考依据。     

Changes in the spatial patterns of human appropriation of net primary production (HANPP) in Europe 1990–2006

Understanding patterns, dynamics, and drivers of land use is crucial for improving our ability to cope with sustainability challenges. The human appropriation of net primary production (HANPP) framework provides a set of integrated socio-ecological indicators that quantify how land use alters energy flows in ecosystems via land conversions and biomass harvest. Thus, HANPP enables researchers to systematically and consistently assess the outcome of changes in land cover and land-use intensity across spatio-temporal scales. Yet, fine-scale HANPP assessments are so far missing, an information important to address site-specific ecological implications of land use. Here, we provide such an assessment for Europe at a 1-km scale for the years 1990, 2000, and 2006. The assessment was based on a consistent land-use/biomass flow dataset derived from statistical data, remote sensing maps, and a dynamic global vegetation model. We find that HANPP in Europe amounted to ~43 % of potential productivity, well above the global average of ~25 %, with little variation in the European average since 1990. HANPP was highest in Central Europe and lower in Northern and Southern Europe. At the regional level, distinct changes in land-use intensity were observed, most importantly the decline of cropland areas and yields following the breakdown of socialism in Eastern Europe and the subsequent recovery after 2000, or strong dynamics related to storm events that resulted in massive salvage loggings. In sum, however, these local dynamics cancelled each other out at the aggregate level. We conclude that this finding warrants further research into aspects of the scale-dependency of dynamics and stability of land use.     

长江经济带城市土地利用效率地区差异及形成机理

认识和探讨长江经济带城市土地利用效率地区差异及其形成机理,对于引导城市土地高效利用、实现区域协调发展具有重要的现实意义。利用超效率DEA模型、重心模型、泰尔指数和地理探测器模型,系统研究了2004~2014年长江经济带105个城市土地利用效率的时空演化格局、地区差异及其形成机理。研究表明：2004~2014年长江经济带城市土地利用效率呈明显上升态势,其地理重心总体由西向东、由南向北迁移;在空间上,长江经济带东、中、西部地区均出现“中心-外围”空间分异格局;长江经济带城市土地利用效率的泰尔指数表明地区差异显著,且东、中、西部地区出现“组内趋同而组间趋异”特点的俱乐部趋同现象;城市土地利用效率受控于多种复杂因素,从长江经济带整体来看,社会经济因素对城市土地利用效率空间分布的决定力最高;不同区域的主导因素存在显著差异,从东部、中部到西部,主导因素呈现出由区域自身条件及内在动力向外部要素转变的特征。 关键词： 城市土地利用效率;地区差异;形成机理;长江经济带     

基于时序植被指数的湖北省物候空间特征分析

湖北省地貌类型多样,植被类型丰富,也是农业大省,物候信息监测对于自然生态和农业生产具有重要意义。使用MODIS MOD13Q1 产品中的归一化植被指数数据集,运用时间序列谐波分析法重构 NDVI时序曲线,并结合土地覆被数据,采用物候特征动态阈值法获取湖北省植被物候空间分布特征,分析不同土地覆被类型的物候指标。结果表明：(1)湖北省西部山区、东南部和东北部丘陵地区,多为自然植被覆盖,且植被状况良好,NDVI最大值达到0.75以上,大部分区域NDVI最小值在0.6以上。中部江汉平原和农作物区域NDVI变化受农业耕种方式影响较大,与自然植被NDVI变化特征有所差异。(2)不同土地覆被类型物候特征各异。湖北省大部分区域的植被在2月到3月进入生长季,11月到12月结束生长,襄阳地区呈现相反的特征。耕地、裸地、水体等受人类影响较大的土地覆被类型生长季长度较短,开始时间较晚,结束较早。森林、草地、灌丛等自然植被生长季长度较长,开始较早、结束较晚。(3)物候参数由于地形地貌、地表覆被类型、人类和自然因素的影响具有显著的差异,对区域植被生态状况、不同土地覆被类型物候空间分布特点的分析,结果对于植被生态保护、植被分类、农业区划等都具有参考意义。     

土地利用变化对生态系统服务的影响研究综述

土地利用/覆被变化是全球环境变化的重要组成部分和主要原因之一,不仅带来了地表结构的巨大变化,而且对生态系统服务也造成重要影响。土地利用变化和生态系统服务研究已成为国际上生态学和地理学等跨学科研究的热点之一。从土地利用变化和生态系统服务的概念及其影响因素分析入手,综述了土地利用面积变化、土地利用方式变化和土地利用空间格局变化等对生态系统服务的影响,归纳了土地利用变化对生态系统服务的影响研究的主要方法和模型,分析了相关研究的不足,并提出了加强生态系统服务动态评估方法和时空动态评估模型的研究、强化土地利用变化对生态系统服务影响的生态学机制研究和注重土地利用变化下生态系统服务评估结果的集成应用研究等建议,以期对我国的土地利用变化与生态系统服务评估研究提供科学参考。     

基于ETM影像的植被指数在土地利用中的特征——以雅安市雨城区为例

利用LandSAT7号卫星的ETM数据、土地利用现状数据，在GIS空间分析工具与ERDAS空间建模语言的支持下，提取ETM影像的RVI、NDVI和MSAVI等3类植被指数，在ArcGIS中应用样带统计分析工具，统计并分析3类植被指数在各土地利用类型中的分布与特征。结果表明：RVI与NDVI、MSAVI在各土地利用中的特征相似，都能较好的反映土地利用类型的覆盖程度，但各植被指数的表现形式有异，即RVI值高的，NDVI、MSAVI值较低，代表的植被覆盖度也较低，反之亦然；3类植被指数能较好的区分出农田用地、非植被覆盖区、植被覆盖区，而林地与灌木林、早地与园地则不易区分。     

Determination of the optimal land use allocation pattern in Nowshahr County,Northern Iran

Regional models of land use change are evaluated as a way of identifying land use pattern based on recent quantitative and probabilistic approaches. Differentiation between models in this area is the result of the approach to the concept of land use and type of indicators used in the modeling process. Since the determination of the optima land use pattern, due to the different uses of land based on the availability of regional capabilities and spatial difference in land use, depends on an integrated model, there must be a model that can assess the existing conditions of the region and present reasonable models of land use according to regional capacities and potentials. In this research, we developed a model to present the Optimal Land Use Allocation Pattern (OLUAP) for maximizing the advantages of change and determining the methods of influencing land use change priorities. This model uses spatial models and analysis, moderates the cost-benefit function, and calculates the allocation priorities of various areas based on regional conditions. The model results show that a wide scope of Nowshahr area is allocated to natural and agricultural uses. At the same time, a limited area has been assigned to urban and industrial uses. In addition, it shows that northern strip of the region due to higher accessibility of services and infrastructures is more suited than other regions to urban and industrial areas, and these two uses have first and second priority, respectively. Besides, according to the man-made environment and the special environmental conditions, the model allocates the central lowlands and southern parts sporadically to agricultural and natural areas as first and second priorities. Since the model is spatial optimization, the suggestions of the model show the OLUAP. Therefore, one can see the optimal condition for each plot and compare it with the existing land use.     

Use patterns of natural resources supporting livelihoods of smallholder communities and implications for climate change adaptation in Zimbabwe

Declining crop and livestock production due to a degrading land resource base and changing climate among other biophysical and socio-economic constraints, is increasingly forcing rural households in Zimbabwe and other parts of Southern Africa to rely on common natural resource pools (CNRPs) to supplement their household food and income. Between 2011 and 2013, we combined farmer participatory research approaches, remote sensing and geographic information systems (GIS) to (1) understand the contribution of CNRPs to household food and income in Dendenyore and Ushe smallholder communities in Hwedza District, eastern Zimbabwe and (2) assess changes of the CNRPs in both space and time, and their implications on climate change adaptation. Across study sites, wetlands and woodlands were ranked as the most important CNRPs. Extraction and use patterns of products from the different pools differed among households of different resource endowment. Resource-constrained households (RG3) sold an average of 183 kg household^?1 year^?1 of wild loquats fruits (Uapaca kirkiana), realising about US$48, while resource-endowed farmers (RG1) had no need to sale any. The RG3 households also realised approximately US$70 household^?1 year^?1 from sale of crafts made from water reeds (Phragmites mauritianus). Empirical data closely supported communities’ perceptions that CNRPs had declined significantly in recent years compared with two to three decades ago. More than 60 % of the respondents perceived that the availability of natural resources drawn from wetlands and woodlands, often used for food, energy and crafts, has decreased markedly since the 1980s. Classification of land cover in a GIS environment indicated that CNRPs declined between 1972 and 2011, supporting farmers’ perceptions. Overall, woodlands declined by 37 % in both communities, while the total area under wetlands decreased by 29 % in Ushe, a drier area and 49 % in Dendenyore, a relatively humid area. The over-reliance in CNRPs by rural communities could be attributed to continued decline in crop yields linked to increased within-season rainfall variability, and the absence of alternative food and income sources. This suggests limited options for rural communities to adapt to the changing food production systems in the wake of climate change and variability and other challenges such as declining soil fertility. There is therefore a need to design adaptive farm management options that enhance both crop and livestock production in a changing climate as well as identifying other livelihood alternatives outside agriculture to reduce pressure on CNRPs. In addition, promotion of alternative sources of energy such as solar power and biogas among rural communities could reduce the cutting of trees for firewood from woodlands.     

The spatial and temporal change of cropland in the Scandinavian Peninsula during 1875–1999

Land use and land cover change (LUCC) has emerged as an important issue of global change with significant influences on the geochemical cycle and regional climate change. Understanding the historical changes of land use and analyzing the environmental effects of LUCC make such reconstructions important. Based on historical statistics, this article reconstructs cropland area at the municipality level (härad/kommun) in the Scandinavian Peninsula during 1875–1999. The total acreage of cropland increased 36.84 % during 1875–1930, kept stable during 1930–1950, and decreased 14.25 % during 1950–1999. The croplands of Sweden and Norway both increased before 1950 and changed in different ways during 1950–1999 when the cropland decreased by 19.79 % in Sweden but increased by 9.63 % in Norway. The counties in the south Scandinavian Peninsula owned most of the cropland, with a cropland proportion of over 20 %, and experienced relatively obvious cropland changes. Growth centers with a rate of increase of over 5 % during 1875–1910 were found in Skåne, Stockholm, the Uppsala counties in Sweden, and the area around Oslo county in Norway. The general cropland distribution showed almost no change during this period, which mainly reflects the suitability of the natural conditions for agriculture. Multi-social factors co-impacted land use activities and induced temporal and spatial variations of the cropland. These factors included food supply, world trade, wars, agriculture policies, the economic and political environment, urbanization, and national differences. Compared with the widely used global land use dataset Historical Database of the Global Environment (HYDE), this study shows different cropland change curves before 1950. This article is a case study showing that the hindcasting model of the HYDE dataset has difficulty estimating multi-determined cropland change in the Scandinavian Peninsula, and the empirical study contributes to the improvement of the accuracy of historical land use data at the regional level.     

基于MODIS NDVI汉江中游植被时空变化及其地貌分异分析

基于2001~2015年的时间序列MODIS NDVI数据,通过逐像元线性趋势回归和回归系数计算,分析汉江中游地区植被年均NDVI变化的时空规律;通过植被时空变化的地貌分异分析,评估人类活动的影响及其空间差异。研究结果表明:汉江中游地区近15 a来,植被年均NDVI值呈现明显的波动增长趋势;植被时空变化表现出一定的地貌分异规律,平原、河漫滩、台地植被年均NDVI呈现明显的增长趋势,而丘陵、低山和中山植被年均NDVI增长趋势不明显。不同地貌类型区年均NDVI值变化受人类活动影响程度的强弱依次为:平原、台地、河漫滩、丘陵、低山、中山。人类活动是汉江中游平原区年均NDVI稳定增长的主要原因。     

基于定量遥感技术的重庆市热岛效应

近年来，城市热岛效应不断增强，已经成为一个突出的城市环境问题。重庆市作为长江中上游特大型城市，工业发达，经济快速发展，市区热岛效应明显，但是很少对其研究。以2007年Landsat5 TM影像为数据源，利用单窗算法对重庆市城市地表温度进行反演，并进行城市地面亮温等级划分，在从城市土地利用类型、NDVI等方面对重庆市城市热岛效应强度和空间格局分布及其特征进行了探讨。结果表明：城区热岛现象显著，且分布不均匀；不同土地利用类型对热岛效应影响不同；城市地面亮温与NDVI呈明显的线性负相关关系。最后结合重庆市的特殊地形，提出了以下解决城市热岛效应的对策：加强城市规划，调整城市结构；构建最佳绿化结构，提高城市绿化率；改变能源结构，提高能源利用率，控制工厂废气排放量。