Soil organic carbon and total nitrogen stocks as affected by different land use in an Ultisol in Imo Watershed,southern Nigeria

Soil organic carbon (SOC) and soil total nitrogen (STN) concentrations and stocks are essential for improving soil quality and increasing C-reservoir. The study aimed at quantifying the dynamics of soil properties under different land use in Imo watershed where there is no knowledge about the effects of land use on SOC and STN pool. Six land use: arable land (AL), forest land (FL), grassland (GL), shrubland hills (SL), urban built-up green (UL), and freshwater swamp-mangrove wetland (WL) were classified using ArcGIS 10.1 and FAO land use classification system. Soil samples were collected and analyzed from each land use under different soil depths and slope positions with three replications. Topsoil layer (0–30?cm) contributed to more than 90% of the total soil nutrients. Land use significantly affected SOC content, STN content, and bulk density. SOC and STN concentrations were in the order of FL?>?WL?>?GL?>?SL?>?UL?>?AL which revealed the potentials of FL and WL for SOC and STN sequestration. The study provides land users with the information to improve soil quality, conserve C and N stocks for ecological sustainability and climate change mitigation.     

Distribution of anthropogenic cadmium and arsenic in arable land soils of Hainan,China

It is important to determine the distribution of anthropogenic heavy metals in arable land soils. Using Hainan Island as a study area, the background concentrations of cadmium (Cd) and arsenic (As) in arable land soils from different types of parent materials were estimated and then anthropogenic input distribution was determined by subtracting background concentrations from existing spatial distributions of Cd and As using ArcGIS spatial analysis tools. There were areas where the content of soil Cd and As did not show a change due to anthropogenic inputs, 8.4% As and 24.3% Cd content were below background concentrations, respectively. Soils with higher anthropogenic inputs were found around urban areas and the western part of Hainan Island. Data indicated that inputs were primarily produced by rapid urbanization and uncontrolled mining exploration. Anthropogenic Cd and As increases were also caused by excessive application of fertilizers.     

Temporal and spatial patterns and driving factors of cultivated land change in Qinghai-Tibet Plateau北大核心CSCD

随着经济快速发展、城镇化进程加快以及人口基数不断增加,在城市用地不断向外扩张以及生态退耕措施的影响下,耕地面积呈逐年减小的趋势.这一现象加剧了农业发展与其他要素间的矛盾,对区域粮食安全也产生重要影响,因此,探讨耕地面积时空变化及其驱动机制对保障区域粮食安全具有现实意义.分析青藏高原地区1980年、1990年、2000年、2010年、2018年的耕地面积数据,结合户籍人口、地区生产总值(GDP)、粮食单产等统计年鉴资料解析影响其变化的主要驱动因子.结果表明:(1)青藏高原近40年耕地面积变化总体经历缓慢增加、显著增加和缓慢递减3个阶段,整个变化过程中耕地主要流失方向为林地和草地,分别占总流失面积的50.99%和32.02%,主要原因为退耕还林还草等政策的实施,其次为建设用地和水域增加.(2)耕地转为非耕地的地区主要集中在四川西部、云南西北部、青海东部,而耕地转入地区主要集中在青藏高原中部.以地市州来看,拉萨、海东、海西、阿坝、林芝等地区耕地面积变化特征以缓慢递增为主;西宁、黄南、甘孜、甘南等地区的耕地面积则呈缓慢递减的变化趋势.(3)主成分分析和结构方程模型结果显示影响耕地面积减少的主要驱动因素包括经济社会发展和粮食生产.其中经济和社会因素对耕地面积变化产生的影响为负值,社会因素产生的负影响最大,为-0.224,人口基数增长、建设用地扩张、土地利用转型要求以及二、三产业红利的吸引都会导致耕地面积减小.本研究揭示了青藏高原地区近40年耕地变化情况及流失方向,耕地面积波动主要受到经济社会因素以及政策因素的影响;上述结果可为今后国家粮食安全及当地生态环境可持续发展提供理论参考.(图7表8参45)     

岩溶山区不同土地利用方式对土壤活性有机碳动态的影响

对贵州茂兰自然保护区内三种典型土地利用方式(林地、草地和耕地)下土壤活性有机碳组分(土壤溶解有机碳和土壤微生物量碳)的月变化及其对环境因子的响应进行了研究,结果表明在不同的土地利用方式下上覆植被类型不同,其凋落物数量、质量及分解行为不同,有机质的输入量及质量也不相同,从而形成不同的土壤溶解有机碳含量差异,土壤有机碳的大小也存在较大差别。研究结果显示:从全年平均值来看,林地土壤溶解有机碳分别比草地和耕地高25%、48%;从3月到8月,三者均随气温的上升呈增加的趋势,林地和耕地在8月均达到最大值,而草地则在10月达到最大值;林地和草地土壤微生物量碳分别高于耕地81%和45%,林地和草地在10月达到最大值。不同的土地利用方式导致土壤活性有机碳的差异较大,这说明岩溶生态系统中土地利用方式对土壤碳库的大小有较大影响。不同土地利用方式下土壤活性有机碳对环境因子的响应也各不相同,这表明土壤活性碳受众多因素的制约而呈现出一种动态平衡关系,进一步的机理仍需要进行深入研究。     

城市化对土壤呼吸作用影响的研究进展

土壤呼吸是指土壤产生CO2的所有代谢作用,是碳素由陆地生态系统进入大气的主要途径和大气CO：的重要来源,是影响全球碳循环的途径之一,它的变化可能会对大气CO2浓度产生显著的影响。城市化的推进引起世界范围内土地利用／覆盖方式的变化,这种变化对土壤的理化性质、生物学特性等产生深刻影响,从而影响土壤的呼吸作用。因此,研究城市化引起的土壤呼吸变化对于精确地估测陆地碳循环有着重要意义。国外在20世纪90年代就开始了城乡梯度上土壤碳动态的研究,而我国在这这方面的研究还处在起步阶段,尤其是关于由自然土壤转变为城市土壤后,土壤呼吸变化的机制研究较少。已有的研究表明,在干旱和半干旱地区,城市化引起土壤呼吸降低,而非干旱区则相反。此外,城市化过程中,土壤呼吸变化的方向和强度因所处的气候区域、利用的土地来源、城市内部的土地利用方式及植被类型的不同等而存在差异,但仍存在许多不确定的影响因素,如与气候变化的耦合作用等。因此,在未来城市化过程对土壤呼吸作用的研究中,应加强土壤呼吸作用的直接影响因子和间接影响因子、时空差异及其他更精细的研究。     

保护耕地:问题、症结和途径——谈我国1.2亿公顷耕地的警戒线

我国是一个土地资源紧缺的国家,文章首先指出目前耕地占用严重;占用好地的状况是:东部占用比西部严重,城郊占用比农村严重,平原占用比山区严重,占高补低造成耕地隐性流失。另外,土壤退化也吞噬了一部分耕地。认为问题的症结在于地方政府眼前经济利益的驱动。指出根本的出路在于完善土地法规,规范监督机制、科学制订规划并依法执行,依靠科技加强土地监测,而最重要的是提高全民保护耕地的意识。     

Modelling carbon and nitrogen dynamics in forest ecosystems of Central Russia under different climate change scenarios and forest management regimes

The individual-based stand-level model EFIMOD was used for large-scale simulations using standard data on forest inventories as model inputs. The model was verified for the case-study of field observations, and possible sources of uncertainties were analysed. The approach developed kept the ability for fine-tuning to account for spatial discontinuity in the simulated area. Several forest management regimes were simulated as well as forest wildfires and climate changes. The greatest carbon and nitrogen accumulations were observed for the regime without cuttings. It was shown that cuttings and wildfires strongly influence the processes of carbon and nitrogen accumulations in both soil and forest vegetation. Modelling also showed that the increase in annual average temperatures resulted in the partial relocation of carbon and nitrogen stocks from soil to plant biomass. However, forest management, particularly harvesting, has a greater effect on the dynamics of forest ecosystems than the prescribed climate change.     

Effect of land use and land cover change on soil erosion and the spatio-temporal variation in Liupan Mountain Region, southern Ningxia, China

The Liupan Mountains are located in the southern Ningxia Hui Autonomous Region of China, that forms an important divide between landforms and biogeographic regions. The populated part of the Liupan Mountain Region has suffered tremendous ecological damage over time due to population pressure, excessive demand and inappropriate use of agricultural land resources. To present the relationship between land use/cover change and spatio-temporal variation of soil erosion, data sets of land use between the late 1980s and 2000 were obtained from Landsat Thematic Mapper (TM) imagery, and spatial models were used to characterize landscape and soil erosion conditions. Also, soil erosion in response to land use and land cover change were quantified and analyzed using data from geographical information systems and remote sensing. Soil erosion by water was the dominant mode of soil loss, while soil erosion by wind was only present on a relatively small area. The degree of soil erosion was classified into five severity classes: slight, light, moderate, severe, and very severe. Soil erosion in the Liupan Mountain Region increased between the late 1980s and 2000, both in terms of acreage and severity. Moderate, severe, and very severe eroded areas accounted for 54.86% of the total land area. The lightly eroded area decreased, while the moderately eroded area increased by 368817 ha (22%) followed by severe erosion with 146552 ha (8.8%), and very severe erosion by 97067.6 ha (5.8%). Soil loss on sloping cropland increased with slope gradients. About 90% of the cropland was located on slopes less than 15°. Most of the increase in soil erosion on cropland was due to conversion of steep slopes to cropland and degradation of grassland and increased activities. Soil erosion was severe on grassland with a moderate or low grass cover and on dry land. Human activities, cultivation on steep slopes, and overgrazing of pastures were the main reasons for the increase in erosion severity.     

A simple soil organic-matter model for biomass data assimilation in community-level carbon contracts.

Soil carbon (C) sequestration has been proposed as a transitional win-win strategy to help replenish organic-matter content in depleted agricultural soils and counter increases in atmospheric greenhouse gases. Data assimilation and remote sensing can reduce uncertainty in sequestered C mass estimates, but simple soil organic carbon (SOC) models are required to make operational predictions of tradeable amounts over large, heterogenous areas. Our study compared the performance of RothC26.3 and a reduced compartmental model on an 11-year fertilizer trial in subhumid West Africa. Root mean square error (RMSE) differences of 0.05 Mg C/ha between models on total SOC predictions suggest that for contractual purposes, SOC dynamics can be simulated by a two-pool structure with labile and stable components. Faster (seasonal) and slower (semicentennial and beyond) rates can be approximated by constants as instantaneous and infinite decay. In these systems, simulations indicate that cereal residue incorporation holds most potential for mitigation of transient C loss associated with recent land conversion to agriculture.     

不同土地利用方式对土壤有机碳及其组分影响研究

测定了5种土地利用方式下（人工草地、围封样地、一年耕地、弃耕地、自由放牧样地）土壤有机碳、土壤微生物生物量碳、易氧化态碳和轻组有机碳组分含量特征,比较分析土地利用变化对典型草原土壤起源下土壤有机碳组分的变化。结果表明,1）人工草地土壤有机碳含量为（14．98±3．47）g·kg-1,围封样地的为（12．41±6．40）g·kg-1,一年耕地的为（12．20±5．59）g·kg-1,弃耕样地的为（10．39±5．08）g·kg-1,自由放牧样地的为（9．45±3．19）g·kg-1。人工草地土壤有机碳含量明显高于其他样地,围封样地和一年耕地的含量相似,自由放牧样地的含量最小。2）土壤微生物生物量碳、易氧化态碳和轻组有机碳的含量在不同土地利用方式下的变化趋势与土壤有机碳含量的变化趋势基本一致。土壤有机碳及其组分含量在土壤剖面上,随着土层深度的增加而逐渐降低。3）土壤微生物生物量碳、易氧化态碳和轻组有机碳的平均分配比率在不同类型样地范围分别为0．24％～0．66％、0．002％～0．019％和0．05％-0．25％,显示出各组分对土壤环境变化的敏感度不同,其中土壤微生物生物量碳更能反映土壤有机碳的早期变化,可以作为表征土壤有机碳变化和土壤肥力的敏感指标。     

辽西大凌河流域土地利用变化及驱动力分析

从政策、流域综合治理、经济发展和技术进步、农民认知态度等4方面对影响大凌河流域土地利用变化的驱动力进行了分析。同时运用农户问卷调查和驱动力分析结果,选取影响耕地变化的社会经济和人口因子,运用主成分分析和多元迭代回归分析确定影响耕地变化的主要因子,并拟合出耕地变化的最优度模型。研究结果表明:在1987—2002年期间,农田和未利用荒地面积在不断减小,而林地、果园、草地在不断增加,但1995年后变化边际度大大减小;主成分分析表明影响土地利用变化主要影响因子是农业人口(A-POP)、总人口(T-POP)、农村经济收入(TIRE)、农林牧渔收入(IAFAF)和第三产业总产值(GTI);多元迭代回归分析表明耕地面积变化的最优回归模型中主变量是农业人口(A-POP)、总人口(T-POP)、农村经济收入(TIRE),这些变量能够解释95.1%的耕地变化。     

Assessment of ecological risks induced by land use and land cover changes in Xiamen City,China

The landscape ecological risk (LER) in Xiamen City, China, from 1990 to 2030 was studied using an urban land use and land cover change (LUCC) model and LER analysis. The LUCC model was used to predict the LUCC of Xiamen from 2020 to 2030. We analyzed the characteristics of LUCC and landscape pattern changes and, finally, evaluated the effect of rapid LUCC on LER. Of the six landscape types investigated, built-up land and farmland demonstrated the most significant changes. The area of built-up land increased by 1.5 times in 2010 and is predicted to increase by 2.7 times in 2030 than that in 1990. The area of farmland increased from 34.5% in 1990 to 24.5% in 2010 and is predicted to decrease to 15.1% in 2030. The number of patches (NP) of built-up land decreased with increasing area, which promoted the dominance of built-up land over other landscape types. Five landscape types, those other than built-up land, increased in NP, landscape fragmentation, segmentation, and disturbance but decreased in dominance. The LER of Xiamen in 2010 was slightly lower than that in 1990. However, with the acceleration of urbanization, the LER in 2020 and 2030 will increase by 7.6% and 12.5% than that in 2010. The LER will significantly increase in areas such as the Huandong sea area, the second urban core of Xiamen, and northern Xiang'an. For the areas, some measures (e.g. optimum urban spatial growth patterns and control of coastal reclamation) must inevitably increase to reduce the LER posed by rapid urbanization.     

祁连山北坡亚高山草地退耕还林草混合植被对土壤碳氮磷的影响

土壤有机碳、氮素和磷素是生态系统中极其重要的生态因子,土地利用变化将会引起土壤中碳、氮、磷等元素含量的变化。以祁连山北坡亚高山草地区域内三种利用方式（自由放牧天然草地、开垦20年的燕麦（Avena nuda）耕地、退耕8年的还林草混合植被）的土壤为研究对象,通过采集0~30 cm的土壤,分析土壤的理化性质得到土壤碳、氮、磷的含量,再将其转换为土壤碳、氮、磷储量,分析三种利用方式下土壤碳、氮、磷储量的差异以及影响土壤碳、氮、磷生态化学计量比的因子,旨在探讨退耕还林草工程对该地区土壤养分的影响。结果表明,3个样地的土壤碳、氮、磷储量差异显著（P〈0.05）,天然草地的有机碳、全氮储量（72.17、6.80 t·hm-2）显著高于退耕还林草地的（66.75、4.96 t·hm-2）和燕麦耕地的（36.61、3.61 t·hm-2）。这是因为,其一,比较而言天然草地受干扰小。其二,对于退耕还林草地和燕麦耕地来说,由于刈割获取地上部分,可能使得从土壤中获取的有机碳和氮素大于归还的。全磷储量则表现为燕麦耕地的（2.51 t·hm-2）显著高于天然草地的（2.17 t·hm-2）和退耕还林草地的（1.96 t·hm-2）。这是因为燕麦耕地中化肥的施用使得磷元素富集起来,所以其储量较高。与天然草地相比,耕种20年的燕麦地0-30 cm的有机碳和全氮储量分别低了35.56、3.19 t·hm-2,年平均减少速率分别为1.78、0.16 t·hm-2·a-1。与燕麦耕地相比,退耕8年的还林草地土壤有机碳和全氮储量显著升高了30.14、1.35 t·hm-2,年平均增加速率分别为3.77、0.17 t·hm-2·a-1。退耕8年的还林草地轻组有机碳比例（10.93%）显著高于天然草地（9.72%）和燕麦耕地（8.61%）。土壤含水量、容重和微生物量碳氮是影响土壤碳、氮、磷生态化学计量的重要因子。总结认为,退耕还林草混合植被对土壤碳、氮、磷库具有重要?     

Factors affecting HCH and DDT in soils around watersheds of Beijing reservoirs,China

The factors that influence the dynamics of hexachlorocyclohexane (HCH) and dichlorodiphenyltrichloroethane (DDT) in soils around the watersheds of Beijing reservoirs were examined. Compared with other studies on HCH and DDT in soils and established reference values, the concentrations of HCH and DDT in soils around our study area were relatively low. The relationships between HCH and DDT concentrations and land use, soil texture, and soil properties were discussed. HCH and DDT concentrations were higher in arable soils than those in uncultivated fallow soils. Although land use was the most important factor affecting HCH and DDT residues, additional factors such as soil texture and soil total organic carbon were also involved in pesticide retention in soils. The results indicated that the historical agricultural applications of HCH and DDT were the major source of their residues. Atmospheric deposition, as well as long-distance transportation and inputs from surrounding weathered agricultural soils may also serve as important sources of HCH and DDT residues in the watersheds.     

科尔沁沙地土地利用变化对土壤特性的影响

在中国科学院奈曼沙漠化研究站放牧试验场周围,选取了不同利用方式和类型的草地（封育和放牧）、林地（乔木和灌木）和农田（灌溉和非灌溉）为研究样地,调查了0～30cm土层每隔10cm的土壤水分质量分数和有机养分（有机碳和全氮）,分析了土地利用变化对土壤水分质量分数和有机养分的影响。结果发现,垂直空间分布上,无论哪种土地类型样地,土壤水分质量分数和有机养分各土层间均无显著差异性（P〉0.05）,土层垂直变化对土壤特性影响均较小。在不同土地利用方式水平空间分布上,土壤水分质量分数和有机养分（土壤有机碳和全氮）灌木林地均显著高于乔木林地（P〈0.05）,而封育草地和放牧草地间以及灌溉农田与非灌溉农田间土壤水分质量分数和有机养分均无显著差异性（P〉0.05）。不同土地利用类型水平分布上,草地土壤水分质量分数显著低于林地和农田（P〈0.05）,而土壤养分质量分数草地显著高于林地和农田（P〈0.05）。分析表明,对沙质草地进行围栏封育和旱作农田退耕还林还草的同时,对水浇农田实行保护性耕作和精细管理,有利于沙地土壤环境改善与生态系统恢复。     

坝上地区土地利用与覆被变化对土壤养分的影响

坝上地区是典型的农牧交错带 ,生态环境十分脆弱。研究表明 ,解放后 ,该区土地利用与土地覆被状况经历了多次反复的变动。 2 0世纪 80年代以前 ,草地大规模改变为旱地 ,部分改为林地 ;90年代初 ,旱地又逐步被改为草地、林地和水田使用。土地利用与土地覆被的变化引起土壤中有机质、全N、全P、全K、碱解N以及有效态P、K、B、Mo、Mn、Zn、Cu和Fe等养分呈有规律的改变。当土地由草地变为林地、旱地变为林地、旱地变为水田时 ,总体养分增多。但也有例外 ,尤其是碱解N、速效P和速效K以及微量元素 ,有时出现与上述规律不一致的情况。     

中国草地生态系统碳储量及碳过程研究进展

草地为陆地生态系统的主体,是陆地上最主要的碳储库和碳吸收汇之一。近年来,随着“草原承包责任制”、“退耕还林还草”和“封育禁牧”等重大生态工程项目的实施及草地生态系统的恢复和草地生产力的提升,草地生态系统碳储量、固持潜力、土壤碳循环机制及稳定性机制越来越受到学术界的关切。文章全面综述了近年来我国草地生态系统碳储量及其碳过程的研究工作,总结了不同研究中,我国不同草地类型碳库的特征及其储量、分析了草地生态系统碳过程等,评述了土壤碳过程相关科学问题的研究进展,指出了当前草地生态系统土壤碳储量及碳过程的研究进展、存在的问题,分析了未来草地生态系统土壤碳研究的重点研究方向和发展趋势。研究表明：草地生态系统在调节碳循环和减缓全球气候变化中起着重要作用。但是,由于草地类型的多样性、结构的复杂性以及草地对干扰和变化环境响应的时空动态变化,至今对草地生态系统碳储量和变率的科学估算,以及草地生态系统土壤关键碳过程及其稳定性维持机制的认识还十分有限,随着高分辨率的MODIS、TM数据、数学模型及不同草地类型实测点的建立,以及通过枯落物碳库将植物碳库与土壤碳库的有机连接,草地生态系统的土壤碳储量及固持潜力取得了重要进展;土壤有机碳来源、组成,有机碳化学结构以及环境因子是影响土壤有机碳稳定性的重要因素,而固体赫兹共振、碳同位素示踪等对破解有机碳稳定性提供了重要手段。未来,还将进一步厘清草地生态系统土壤固碳的驱动机制,构建草地生态系统土壤固碳量化方法体系等。     

基于MLP-ANN与Markov Chain的土地利用变化预测方法——以锡林郭勒盟为例

以北方草地典型地区—内蒙古锡林郭勒盟为案例区,在1995年到2000年的土地利用变化与驱动力分析的基础上,利用土地利用转换类型和驱动力模型,采用多层感知人工神经网络模型分析了各种土地利用类型未来的转换潜力;利用马尔可夫链模型,预测了2005和2010年土地利用格局。预测结果显示：高覆盖度草地减少幅度最大,中覆盖度草地减少相对和缓,高、中覆盖度草地的减少造成了未利用地和低覆盖度草地的增加,尤其是前者增加的幅度最大;从空间分布看,高覆盖度草地的减少集中在西北部地区,主要转变为中低覆盖度草地,中覆盖度草地的减少主要集中在西南部地区,其流向主要是以沙化土地为主的未利用地;案例研究表明,多层感知人工神经网络模型与马尔可夫链模型的结合与应用能够在很大程度上预测稳定驱动力作用下的土地利用变化趋势,从而为生态干预提供指导。     

喀斯特土壤微生物和活性有机碳对生态恢复的快速响应

喀斯特地区普遍面临生态退化的问题,退耕还林作为其重要的生态恢复措施之一而备受关注。土壤活性有机碳通常较总有机碳对环境变化和干扰更加敏感,此外土壤微生物对环境变化和干扰亦十分敏感。然而,关于喀斯特不同时间尺度退耕还林土壤活性有机碳和微生物的系统研究尚少见报导。为了揭示土壤活性有机碳和微生物对喀斯特生态恢复的快速指示作用,为喀斯特生态恢复评价和生态环境治理提供科学依据,以广西古周村典型喀斯特景观为代表,采用空间代替时间的方法,选取不同年限（2 a、4 a、8 a、12 a）退耕还林地和玉米耕地对照样地,研究了表层土壤微生物指标和活性有机碳指标随退耕还林的变化特征。研究结果显示,较耕地对照相比,退耕还林8 a后,土壤总有机碳（TOC）质量分数才发生显著变化,提升24%;而还林2 a后,土壤水溶性有机碳（WSOC）、颗粒有机碳（POC）和易氧化有机碳（KMnO4-C）的绝对含量便分别显著提高62%、36%和38%,相对含量分别显著提升60%、34%和36%,且随还林年限的延长呈升高趋势;退耕还林2 a后,土壤微生物生物量碳（MBC）、基础呼吸（BR）和微生物商（MBC︰TOC）分别显著增加56%、27%和54%,并随还林年限的延长呈逐渐升高趋势;土壤微生物代谢熵（qCO2）在退耕还林2 a后显著降低19%,之后随还林年限延长呈下降趋势。本研究表明,土壤活性有机碳及土壤微生物指标可以作为喀斯特生态恢复的早期指示者。     

基于RS与GIS的武汉城市湖泊演化研究

以武汉市主城区为例,利用1995和2005年Landsat5两期TM影像与2000和2010年Landset7两期ETM＋影像的解译结果,基于景观分形理论与GIS的空间分析功能相结合的研究方法,分别构建湖泊变化强度指数和湖泊分形维数变化指数。从湖泊面积变化和湖泊形态变化,以及湖泊水域和其他土地利用类型的转移变化特点与影响进行综合分析。来丰富湖泊演化的分析方法,并总结高速城市化背景下湖泊的变化规律,从而更深入地了解和认识人类活动因素与湖泊水域动态变化之间的响应关系,同时提出若干城市湖泊治理与管理的方式。研究结果表明,（1）15年间的湖泊水域面积总量的变化呈现萎缩的趋势,年变化量在逐渐减小,湖泊萎缩的速度得到了一定的控制。（2）1995-2010年湖泊分形维数也呈逐期较小趋势,说明湖泊几何形状趋于简单化,人为活动对湖泊的影响加大。（3）15年来主城区28个主要湖泊的变化强度指数均为负值,呈萎缩趋势。但从2000年开始,少数湖泊变化强度指数为正值,萎缩趋势得到初步的控制。（4）1995-2010年间湖泊的水域面积主要转移成为建设用地和耕地。其转移面积占转移总面积的87．02％。围湖造田和城市化率的迅速提高对城市湖泊的演化影响深刻。（5）城市化背景下湖泊面积与形态变化的规律并非完全与城市化发展速率呈正比的关系,当城市化率上升到一定的阶段后,城市内部对生态环境的保护与要求也不断提高。为改善城市环境和城市内部的生态用地,湖泊应得到立法等强制性保护。