喀斯特城市新区土地利用时空演变及生态效应分析——以贵阳市观山湖区为例

通过揭示喀斯特城市新区土地利用和生态效应本质联系及变化趋势,基于转移矩阵、动态度模型、生态环境质量指数和生态贡献率,定量分析观山湖区2010—2020年土地利用动态变化特征及其生态效应。结果表明：(1)观山湖区以林地、耕地和建设用地为主要土地利用类型,10年来水田和旱地呈减少趋势,灌木林地和城镇用地面积增长最大,东部城镇用地逐年向西南方向扩张,耕地转出面积最大,2015—2020年综合土地利用动态度达到峰值(0.546%)。(2)生态系统服务功能因林地增加不断增强,土地覆被状况指数与生态环境质量呈正比关系。(3)旱地和其他林地向有林地转移是改善生态环境的主要原因,有林地向旱地、城镇用地转移是导致生态环境恶化的主要驱动因素,2010—2020年观山湖区整体生态效应呈良性发展。     

土地利用/土地覆被变化对区域生态环境的影响

土地利用／ 土地覆被变化对区域生态环境的影响是土地利用／ 土地覆被变化研究的重要内容。本文分析了土地利用／ 土地覆被变化对区域气候、土壤、水量和水质的影响。土地利用／ 土地覆被变化通过改变地表发射率、温室气体和痕量气体的含量影响区域气候;土地利用／土地覆被变化影响着能量交换、水交换、侵蚀与堆积、生物循环和作物生产等土壤主要生态过程,不同土地利用方式和土地覆被类型的空间组合影响着土壤养分的迁移规律;土地利用／ 土地覆被变化对水质的影响主要是通过非点源污染途径,许多非点源污染来源都同土地利用／土地覆被变化紧密联系。文中还探讨了由于人类不合理的土地利用造成的土壤侵蚀、土地退化、水资源短缺、海水入侵等生态环境问题。     

洱海流域土壤侵蚀强度时空变化及景观格局分析

采用改进的土壤流失方程(RUSLE)及热点分析研究了洱海流域2000—2020年的土壤侵蚀强度时空变化,并应用Fragstats软件从类型水平与景观水平分析土壤侵蚀影响下的景观格局变化趋势。结果表明：(1)20年间,年平均土壤侵蚀模数持续下降,微度侵蚀类型面积增加,而更强侵蚀类型的面积减少,说明洱海流域土壤侵蚀状况得到改善。(2)随着坡度增大,洱海流域年平均土壤侵蚀模数先增大后减小,在坡度为15°～25°时达到最大。(3)2000—2020年,洱海流域的景观格局也得到了优化。     

《污染防治技术》论文作者及引文定量分析

调查了《污染防治技术》自1996－2002年6月间发表论文的作者情况（包括作者系统分布，地区分布和合作度）及发表论文引文情况（包括引文的数量、语种、类型、学科、年代和被引期刊），并对有关数据进行了定量分析。     

太湖西岸宜兴城市水系污染物时空分布特征

选用2011—2014年宜兴市12个监测断面21个水质指标的连续监测数据,解析太湖西岸宜兴城市水系污染物的时空分异特征及影响因素。结果表明,宜兴市城区及入太湖河流污染严重,86.05%以上时段内处于劣Ⅴ类水平,特征污染物为TN、NH3-N、BOD5、TP、COD和Hg。污染物空间分异程度大小依次为:AR-OHNH3-NHgTPCODBOD5F-oil=CODMnLASTNDO。不同区域河流污染物浓度随时间变化基本一致,有机物夏季波动较大主要受温度和降雨的双重影响,TN和NH3-N浓度标线出明显的季节变化:春季冬季夏季秋季,Hg、LAS、AR-OH表现出瞬时排放特性,且主要发生在年初。由分析可得,土地利用强度和方式是影响宜兴市城区及入湖河流污染物分布特征的最主要因素,其次是污染来源、河道类型等的影响,表现为城市核心区、三氿入湖区和西北入湖区污染程度依次增大,但差异水平不明显,西南入湖区则相对较轻。     

快速城镇化背景下环渤海地区生态系统服务价值变化

在快速城镇化背景下,研究土地利用变化对区域生态系统服务价值(ESV)的影响具有重要意义。以环渤海地区为研究对象,对该地区1980、2000、2005、2013年的土地利用变化、ESV变化和流向损益进行了分析测算。结果表明:(1)1980—2013年,城镇化进程促使环渤海地区的土地利用结构发生明显变化,农田、森林、草地、湿地、荒漠的面积持续减少,建设用地一直增加,水域面积先增后降。(2)土地利用变化使环渤海地区ESV先略微增长后下降,2013年ESV为6 005亿元,相比1980年水平(6 504亿元)降低7.7%,其中建设用地转入造成ESV损失最大,1980—2013年建设用地转入造成损失585亿元,占ESV损失总量的45.9%;(3)调节服务是环渤海区域生态系统的主导性生态系统服务功能,其对ESV的贡献从1980年起一直超过65%。(4)环渤海地区ESV排名前3位的城市为丹东、天津和大连,除营口、东营、日照和潍坊外,其余城市的ESV一直处于下降趋势。(5)未来应通过避免"摊大饼式"发展和建立城镇化建设中生态补偿机制等方式推动环渤海地区城镇化建设和生态保护协调发展。     

不同土地利用类型土壤微生物群落特征及其影响因素

土壤微生物群落结构特征能够提前反映土壤环境质量的变化,是土壤质量评价的重要因子。为弄清不同土地利用类型土壤微生物群落特征及其影响因素,以内蒙古呼和浩特赛罕区为研究区,从绿地、园林地、耕地以及荒废地4种不同土地利用类型土壤进行采样研究。研究结果表明:4种不同土地利用类型土壤中主要菌种为细菌、真菌以及放线菌,放线菌比例最大,其次是细菌,真菌比例最小。采样深度、温度、土地利用类型及含水率均影响微生物群落特征。随着采样深度的增加,4种土地利用类型土壤中微生物数量不断减少,0～10cm微生物总数最多。荒废地土壤微生物数量最多,因为荒废地土层中有机质含量高,为微生物的生长提供了营养物质。含水率过高或过低均不利于微生物生长,当处于最佳含水率时微生物数量最大。对于绿地和园林地而言,最佳含水率为10%～15%,耕地最佳含水率为15%～20%,荒废地最佳含水率为10%左右。     

"三生空间"视角下乌鲁木齐市土地利用功能转型及其生态服务价值研究

为探寻快速城镇化地区资源优化配置方式,实现区域内“三生空间”可持续发展,以乌鲁木齐市2004—2018年间3期的Landsat遥感影像为数据源,并建立以“三生空间”为主导的土地利用类型分类体系,采用ArcGIS分析15年间乌鲁木齐市土地利用功能转型特征及生态服务价值时空演变规律。结果表明:(1)15年间乌鲁木齐市的生活生产空间呈现持续扩张的趋势,生产生态空间和生态生产空间都出现先上升后下降的趋势,生态空间持续下降,生活生产空间的大幅增长来自其对生态空间以及生产生态空间的占用;(2)2004—2018年间乌鲁木齐市生态服务价值下降了13.87%,生态空间的生态服务价值下降总量最大;(3)未来应重点保护和规划生态空间内的林地、草地以及湿地等,高效集约利用生活、生产功能用地。     

天津市大气能见度与空气污染物关系分析及控制措施

利用天津市1990—2004年大气能见度观测资料及天津市2002—2004年空气污染物监测数据,统计分析了天津市大气能见度变化特征及其与空气污染物的关系。结果表明,天津市20世纪90年代大气能见度处于波动下降趋势,2000—2003年大气能见度整体水平有所改善,到2004年空气质量迅速提高。统计数据说明,在非采暖季的春季,天津市大气能见度的下降与PM10浓度有较大相关性;在夏季,与相对湿度有较大相关性;在采暖季(冬季),与SO2和NOX等空气污染物浓度有密切关系。同时,提出改善城市大气能见度的4个措施:(1)制定长期的大气能见度控制策略;(2)合理改善能源结构;(3)加强城市裸露土地的治理;(4)城市交通采用清洁能源。     

基于遥感的城镇化过程碳储量格局变化研究——以上海市崇明岛为例

以上海市崇明岛为例,利用遥感(RS)影像和地理信息系统(GIS)技术,分析了2005—2013年崇明岛土地利用变化情况,在此基础上计算碳储量变化,分析其时空变化特征。结果表明:(1)2005—2013年,崇明岛耕地面积从740.10km~2减少到577.14km~2,林地和建设用地面积分别从169.63、194.32km~2增加到279.85、260.13km~2;(2)2005—2013年,崇明岛土地利用过程发挥碳源作用,碳储量净损失672.40×103 t,其中林地转变为耕地的碳源作用最明显,引起的碳储量损失占总损失的65.1%;(3)空间上看,城桥镇、堡镇等城镇化水平较高的区域碳储量损失较其他区域更明显,碳储量损失高值区沿交通线呈明显的脉络状分布。可见,城镇化过程可能引起碳排放增长,导致区域生态服务功能退化。贯彻"精明增长"、"底线控制"等理念,划定区域生态底线,优化区域用地布局,完善低碳评估体系,对城镇化过程中实现低碳发展具有重要意义。     

Impacts of Surface Gold Mining on Land Use Systems in Western Ghana

Land use conflicts are becoming increasingly apparent from local to global scales. Surface gold mining is an extreme source of such a conflict, but mining impacts on local livelihoods often remain unclear. Our goal here was to assess land cover change due to gold surface mining in Western Ghana, one of the world’s leading gold mining regions, and to study how these changes affected land use systems. We used Landsat satellite images from 1986–2002 to map land cover change and field interviews with farmers to understand the livelihood implications of mining-related land cover change. Our results showed that surface mining resulted in deforestation (58%), a substantial loss of farmland (45%) within mining concessions, and widespread spill-over effects as relocated farmers expand farmland into forests. This points to rapidly eroding livelihood foundations, suggesting that the environmental and social costs of Ghana’s gold boom may be much higher than previously thought.     

What drives conversion of tropical forest in Carrasco Province, Bolivia?

The conversion of closed forest (CCF) in Carrasco Province, Bolivia, was monitored using a series of four midresolution satellite images from 1986 to 2002. The conversion of forests into nonforests from 1986 to 2002 was 1.5% annually. Inclusion of conversions into open forest doubles the annual CCF rate to 3.1%. Five predictors of CCF were tested in a spatial model: land tenure regime, distance from roads, distance from settlements, topography, and soil suitability for farming. Only three out of the five predictors tested were found to be reliable predictors of CCF: land tenure regime, distance from roads, and distance from settlements. University reserve and indigenous land show substantially less CCF than national park and untitled land. In addition the spatial model shows that the greater the distance of forest from roads or settlements, the less CCF. Topography and soil suitability for farming lack predictive power for CCF and are therefore excluded from the spatial model.     

Spatio-temporal patterns and driving forces of urban land expansion in China during the economic reform era

Along with its economic reform, China has experienced a rapid urbanization. This study mapped urban land expansion in China using high-resolution Landsat Thematic Mapper and Enhanced Thematic Mapper data of 1989/1990, 1995/1996 and 1999/2000 and analyzed its expansion modes and the driving forces underlying this process during 1990-2000. Our results show that China's urban land increased by 817 thousand hectares, of which 80.8% occurred during 1990-1995 and 19.2% during 1995-2000. It was also found that China's urban expansion had high spatial and temporal differences, such as four expansion modes, concentric, leapfrog, linear and multi-nuclei, and their combinations coexisted and expanded urban land area in the second 5 y was much less than that of the first 5 y. Case studies of the 13 mega cities showed that urban expansion had been largely driven by demographic change, economic growth, and changes in land use policies and regulations.     

Socioeconomic outcomes of agricultural land use change in Southeast Asia

Agricultural land use is transforming rapidly in Southeast Asia, often supported by development policies aiming primarily at economic growth. However, the socioeconomic outcomes of these changes for smallholder farmers remain unclear. Here, we systematically review cases of agricultural land use change in Southeast Asia to assess their socioeconomic outcomes and potential trade-off and synergies in these outcomes. Of the 126 reviewed cases, we find mostly positive outcomes for income (SDG 1, 100 cases) and employment (SDG 8, 11 cases), while outcomes on health (SDG 3, 9 cases) were mixed, and outcomes for food security (SDG 2, 44 cases), gender equality (SDG 5, 13 cases), and economic equality (SDG 10, 14 cases) were mostly negative. Studies describing multiple outcomes show indications of synergies between income and food security, and between income and employment, but also potential trade-offs between income and economic equality. In addition, we find that economic land concessions result in multiple negative outcomes more often than other types of land governance regimes. The results provide evidence that economic gains from agricultural land use change often come at a cost of other dimensions of sustainable development.Supplementary InformationThe online version contains supplementary material available at 10.1007/s13280-022-01712-4.     

Urban transformation of a metropolis and its environmental impacts

Purpose

The aim of this paper is to understand the sustainability of urban spatial transformation in the process of rapid urbanization, and calls for future research on the demographic and economic dimensions of climate change. Shanghai towards its transformation to a metropolis has experienced vast socioeconomic and ecological change and calls for future research on the impacts of demographic and economic dimensions on climate change. We look at the major questions (1) to explore economic and demographic growth, land use and land-cover changes in the context of rapid economic and city growth, and (2) to analyze how the demography and economic growth have been associated with the local air temperature and vegetation.

Method

We examine urban growth, land use and land-cover changes in the context of rapid economic development and urbanization. We assess the impact of urban expansion on local air temperature and vegetation. The analysis is based on time series data of land use, normalized difference vegetation index (NDVI), and meteorological, demographic and economic data.

Results and discussion

The results indicate that urban growth has been driven by mass immigration; as a consequence of economic growth and urban expansion, a large amount of farmland has been converted to paved road and residential buildings. Furthermore, the difference between air temperature in urban and exurban areas has increased rapidly. The decrease of high mean annual NDVI has mainly occurred around the dense urban areas.     

Impact of land use changes on water quality in headwaters of the Three Gorges Reservoir

The assessment of spatial and temporal variation of water quality influenced by land use is necessary to manage the environment sustainably in basin scales. Understanding the correlations between land use and different formats of nonpoint source nutrients pollutants is a priority in order to assess pollutants loading and predicting the impact on surface water quality. Forest, upland, paddy field, and pasture are the dominant land use in the study area, and their land use pattern status has direct connection with nonpoint source (NPS) pollutant loading. In this study, two land use scenarios (1995 and 2010) were used to evaluate the impact of land use changes on NPS pollutants loading in basins upstream of Three Gorges Reservoir (TGR), using a calibrated and validated version of the soil and water assessment tool (SWAT) model. The Pengxi River is one of the largest tributaries of the Yangtze River upstream of the TGR, and the study area included the basins of the Dong and Puli Rivers, two major tributaries of the Pengxi River. The results indicated that the calibrated SWAT model could successfully reproduce the loading of NPS pollutants in the basins of the Dong and Puli Rivers. During the 16-year study period, the land use changed markedly with obvious increase of water body and construction. Average distance was used to measure relative distribution patterns of land use types to basin outlets. Forest was mainly distributed in upstream areas whereas other land use types, in particular, water bodies and construction areas were mainly distributed in downstream areas. The precipitation showed a non-significant influence on NPS pollutants loading; to the contrary, interaction between precipitation and land use were significant sources of variation. The different types of land use change were sensitive to NPS pollutants as well as land use pattern. The influence of background value of soil nutrient on NPS pollutants loading was evaluated in upland and paddy field. It was found that total nitrogen (TN) and total phosphorous (TP) in upland were more sensitive to NPS pollutants loading than in paddy fields. The results of this study have implications for management of the TGR to reduce the loading of NPS pollutants into downstream water bodies.     

Goa: tourism,migrations, and ecosystem transformations

This article is based on a larger case study that investigated the role of tourist induced and other population movements in causing coastal ecosystem change in Goa, India. It focuses especially upon agro-ecosystems locally known as khazan lands, and sand dunes, and how they are transformed to accommodate the needs of tourists and tourism. The effects of different forms of tourism upon land cover and land-use change is assessed. The research findings suggest that it is not population movements alone that cause ecosystem changes, but the changes in relations between people and ecosystems. This means that in some cases land cover has not changed as much as land use, and in other cases land cover has changed dramatically. Intermediary influences upon land use and land-cover change are also legal, political, and economic factors, particularly changes in property rights.     

Scale-dependence of land use effects on water quality of streams in agricultural catchments

The influence of land use on water quality in streams is scale-dependent and varies in time and space. In this study, land cover patterns and stocking rates were used as measures of agricultural development in two pasture and one native grassland catchment in New Zealand and were related to water quality in streams of various orders. The amount of pasture per subcatchment correlated well to total nitrogen and nitrate in one catchment and turbidity and total phosphorous in the other catchment. Stocking rates were only correlated to total phosphorous in one pasture catchment but showed stronger correlations to ammonium, total phosphorous and total nitrogen in the other pasture catchment. Winter and spring floods were significant sources of nutrients and faecal coliforms from one of the pasture catchments into a wetland complex. Nutrient and faecal coliform concentrations were better predicted by pastural land cover in fourth-order than in second-order streams. This suggests that upstream land use is more influential in larger streams, while local land use and other factors may be more important in smaller streams. These temporal and spatial scale effects indicate that water-monitoring schemes need to be scale-sensitive.     

Trends and variability of ground-level O3 in Connecticut over the period 1981-1997

The temporal and spatial characteristics of ground-level (tropospheric) O3 measured at 10 monitoring stations in Connecticut were studied from 1981 to 1997. To detect the O3 trend caused by changes in precursor emissions, moving average filters and a linear least-squared regression model were used to eliminate the short-term variation and effects of temperature from raw time-series O3 data. The results showed a significant decrease in the number of days exceeding the National Ambient Air Quality Standards (NAAQS) and a small change in total O3 concentration. The analysis indicated that the variation of daily maximum O3, caused by changes in emissions, explained more than 10% of the total O3 variation in Bridgeport and East Hartford during the past 17 years. Meanwhile, a strong weekly cycle was also found in O3 time-series data, resulting in lower O3 concentration in urban areas than in nonurban areas, implying that land use and land cover have impacts on the spatial distribution of ground-level O3 in Connecticut.     

Differentiating the effects of climate and land use change on European biodiversity: A scenario analysis

Current observed as well as projected changes in biodiversity are the result of multiple interacting factors, with land use and climate change often marked as most important drivers. We aimed to disentangle the separate impacts of these two for sets of vascular plant, bird, butterfly and dragonfly species listed as characteristic for European dry grasslands and wetlands, two habitats of high and threatened biodiversity. We combined articulations of the four frequently used SRES climate scenarios and associated land use change projections for 2030, and assessed their impact on population trends in species (i.e. whether they would probably be declining, stable or increasing). We used the BIOSCORE database tool, which allows assessment of the effects of a range of environmental pressures including climate change as well as land use change. We updated the species lists included in this tool for our two habitat types. We projected species change for two spatial scales: the EU27 covering most of Europe, and the more restricted biogeographic region of ‘Continental Europe’. Other environmental pressures modelled for the four scenarios than land use and climate change generally did not explain a significant part of the variance in species richness change. Changes in characteristic bird and dragonfly species were least pronounced. Land use change was the most important driver for vascular plants in both habitats and spatial scales, leading to a decline in 50–100% of the species included, whereas climate change was more important for wetland dragonflies and birds (40–50 %). Patterns of species decline were similar in continental Europe and the EU27 for wetlands but differed for dry grasslands, where a substantially lower proportion of butterflies and birds declined in continental Europe, and 50 % of bird species increased, probably linked to a projected increase in semi-natural vegetation. In line with the literature using climate envelope models, we found little divergence among the four scenarios. Our findings suggest targeted policies depending on habitat and species group. These are, for dry grasslands, to reduce land use change or its effects and to enhance connectivity, and for wetlands to mitigate climate change effects.