Dynamics of soil carbon stock,total nitrogen,and associated soil properties since the conversion of Acacia woodland to managed pastureland,parkland agroforestry,and treeless cropland in the Jido Komolcha District,southern Ethiopia

ABSTRACT

In the arid, low biomass producing areas of Ethiopia, Acacia woodlands suffered a severe degradation due to exploitation for various uses, and conversion to grazing and cultivated lands. However, little is known on the impact of agricultural land uses on soil organic carbon (SOC), total nitrogen (TN) stocks, and other soil quality indicators. This study was planned to evaluate SOC and TN stock changes under parkland agroforestry (PAF), managed pastureland (MPL), and treeless cropland (TLCL) regimes by considering the remnant protected woodland (PWL) as a reference. We found that SOC and TN stocks were significantly higher in PWL and MPL areas. Conversion of Acacia woodlands to MPL, PAF, and TLCL resulted in the loss of SOC stock by 23, 50, and 56%, respectively. Higher SOC and TN stocks were found under PWL (144.3 Mg ha^?1) and MPL (108.2 Mg ha^?1). Significant changes in available phosphorous (P), exchangeable cations, and cation exchangeable capacity were observed following the woodland conversion to different land use types. Available P was the highest in MPL compared with the other land use regimes. Within the study area, the MPL land use type was the best land management option for protecting SOC and TN soil stocks.     

Implications of national land legislation and customary land and tree tenure on the adoption of alley farming

Increasing population in the forest zone of Cameroon has led to reduction of fallow periods and to diminution of per capita cropping land area. Alley farming is a promising technology for the zone; however, its large scale adoption depends on host of factors of which an important one is tree and land tenure. For this reason, a study was conducted in 1990 to determine implication of national land legislation and customary land and tree tenure on the adoption of alley farming in the forest zone of Cameroon.Despite national laws purposing to regulate land and tree use, ownership rights to land and trees are largely determined by customary tenure rules. According to the forest zone customs, land is passed on from father to son when the father dies. Owners of inherited lands have full rights on lands and these rights are rarely revoked. Women do not own lands but are allowed to crop any piece of their husband's land as long as they stay married. Despite the lack of land ownership, women might still readily adopt alley farming because they are primarily concerned about food crop production and the amount of land to be given to their sons in the future.Study funded by the International Livestock Center for Africa (ILCA), Addis-Abeba, Ethiopia, and technically supervised by the Land Tenure Center (LTC), University of Wisconsin, Wisconsin USA.     

湿地公园土地利用的变化监测——以成都白鹭湾湿地公园为例

城市湿地公园被誉为"城市之肾",是重要的国土资源,具有生态修复净化环境等功能。因此对城市湿地公园的土地利用情况进行监测,对环境改善、合理利用土地以及保护湿地资源有重要意义。本文以成都市白鹭湾湿地公园为例,利用ENVI进行监督分类动态监测土地利用前后变化情况,并对其结果进行分析,研究表明:白鹭湾湿地公园2012土地类型划分情况为:植被、耕地/半裸地、人造物/裸地占比分别为42%,33%,25%;2015年土地分类占比分别为42%,20%,22%,同时增加了16%的水体,湿地公园耕地、植被、水体等面积逐年增加,土地利用结构更加合理。通过遥感技术动态监测和土地利用变化分析,有利于湿地公园资源的合理利用,同时对城市湿地的建设具有巨大的促进意义。     

山东省卫星遥感影像森林资源分布图的试制

该项研究使用PC计算机,对山东省陆地14景美国陆地卫星ETM^ 影像进行了数字镶嵌,并进行了林地计算机自动分类的尝试,制作出了山东省卫星遥感影像森林资源分布图。     

SPOT-5数据在退耕还林监测中的应用研究——以山西省古交市嘉乐泉乡为例

以山西省古交市嘉乐泉乡为试验区,采用SPOT-5的10m、5m和2.5m 3种影像数据对退耕还林地面积进行分类监测。所设计的2种方案分别是:1)将地物类型分为7类,退耕还林地作为一种单独地类,对3种影像数据进行计算机自动分类和2.5m影像的人工解译分类;2)借助退耕还林作业设计图,将退耕还林地块影像分割出来,对退耕还林地和未退耕还林地进行有监分类。精度验证表明,第一种方案中2.5m融合图像的人工解译分类,退耕还林地的分类精度在50%以下;第二种方案中3种影像数据的总体分类精度均大于90%。建议在退耕还林地的作业设计图电子化的基础上,应用SPOT-5数据监测退耕还林地的任务完成和植被覆盖情况。     

基于遥感与GIS的临淄区土地利用变化与生态环境效应研究

根据临淄区2008年、2012年和2018年三期土地利用数据,利用地理信息软件对2008-2018年这10年间临淄区的土地利用变化和生态环境效应进行了计算分析。结果表明:研究区2008~2018年主要土地利用类型为耕地和建设用地。10年间,草地和建设用地的面积增加,耕地、林地、水域和其他用地的面积减小,耕地减少的面积最大,建设用地增加的面积最多。草地增加的面积主要来自耕地和林地,建设用地主要来自耕地;耕地和水域为生态高敏感类型,林地为中敏感,草地低敏感,建设用地和其他用地不敏感。2008~2018年期间的土地利用类型变化导致临淄区中高风险、较高风险和低风险区域的面积不断增加,而中风险和低风险的面积不断减少,临淄区区域总体生态风险增加;10年间,生态环境质量指数逐年下降,2008~2012年,耕地转换为建设用地是生态环境质量恶化的主要因子,耕地转换为草地是生态环境质量改善的主要因子;2012~2018年,草地转换为建设用地是生态环境质量恶化的主要因子,建设用地转换为耕地是生态环境质量改善的主要因子。     

衡阳盆地土地利用/覆盖变化及模拟

以2003年、2013年两期森林资源二类调查小班数据以及2009年森林资源年度更新数据为基础,提取出衡阳盆地2003、2009、2013年三期土地利用/覆盖数据,在IDRISI17.0软件支持下,利用提取出的矢量数据进行空间叠加运算,得出土地利用/覆盖类型空间转移矩阵,分析了2003—2013年间衡阳盆地土地利用/覆盖类型的面积变化和结构变化情况。现状结果显示:2003—2013年,衡阳盆地内草地、林地和未利用地面积均有下降,耕地、建设用地、园地和水域面积均有所增加。基于CA-Markov模型模拟出2023年土地利用/覆盖情景。模拟出2023年衡阳盆地的土地利用/覆盖情景,并依据数量Kappa系数、位置Kappa系数和标准Kappa系数检验模拟精度。模拟结果显示:2013—2023年间,衡阳盆地内的林地将向草地、耕地和水域转化,耕地则更多的转化为园地和未利用地,部分林地、耕地和水域将继续向建设用地转换。     

Use of Landsat multi-temporal imagery to assess secondary growth Miombo woodlands in Luanshya,Zambia

Miombo woodlands are the most extensive natural forest type in subtropical Africa, supporting the livelihood of over 100 million urban and rural settlers. These forests continue to experience extensive deforestation and land degradation due to land use land cover (LULC) changes. The aim of this study is to use remotely sensed images from the Landsat archive to provide the baseline for the spatial extent of Miombo woodlands in Luanshya district of the Copperbelt Province, Zambia. It also assesses the implications of spatial-temporal changes for the conservation of these woodlands. A hybrid classification method involving ISODATA and Support Vector Machine classifiers was used to generate LULC maps for 1986, 1998, 2001, 2004, 2011 and 2016, with an overall accuracy of 82.0%–99.6% and kappa coefficient of 0.80–0.99. Unlike previous studies that have mainly focused on comparison between two or three time periods, a longitudinal analysis over the 20-year periods of this study shows that there are complex net and gross changes in different LULC types over different scales. Landscape change metrics indicate that woodlands have been declining in extent, but are partly offset by regeneration. Rates of deforestation (regeneration) for the periods 1986–1998, 1998–2001, 2001–2004, 2004–2011 and 2011–2016 are 10% (1%), 38% (30%), 15% (7%), 11% (8%) and 9% (2%) per annum, respectively. These results suggest that over 68% of Miombo woodlands present in 2016 are second-growth forests. Restoration strategies such as assisted natural regeneration are necessary in order to accelerate the recovery of natural forests. Targeting under-used and degraded land for assisted natural regeneration and empowering local communities in sustainable environmental stewardship are crucial in remediating against continued forest degradation.     

基于TM与OLI影像的石家庄市土地利用变化分析

为了了解近年来石家庄土地利用变化趋势,基于Landsat TM/OLI影像数据,运用ENVI空间分析与土地利用动态度模型对石家庄1987-2015年的土地利用时空变化特征进行了分析。结果表明,高密度建筑用地面积从1987年的24.51km~2扩张到2015年的168.44km~2,低密度建筑用地面积从92.22km~2减少到86.93km~2,绿地面积从250.78km~2下降到111.29km~2;各土地类型变化差异显著,石家庄单一土地利用动态度在-4%~14%之间,各时间段综合土地利用动态度分别为0.16%、0.32%和0.38%;人口增加、经济增长和人民生活水平提高是导致石家庄土地利用变化的主要原因。     

Source of mycorrhizal inoculum influences growth of Faidherbia albida seedlings

Poor land use management and practice inhibit the growth and establishment of tree seedlings in dryland areas.We assessed arbuscular mycorrhizal fungi(AM)status of Faidherbia albida(Del.)A.Chev.trees grown on different land uses.We quantified the growth and nutrient uptake of F.albida seedlings inoculated with AM from different sources.These efforts were based on soil and fine root samples from the rhizosphere soils of F.albida trees.AM root colonization was determined using the gridline intersect method.Spores were extracted by the wet sieving and decanting method and identified to genus level.The seedling experiment had a completely randomized onefactorial design with four treatments and five replications.Faidherbida albida seedlings were grown in a greenhouse.All in situ F.albida trees were colonized by AM fungi.AM root colonization of F.albida trees was significantly higher(P<0.0086)in area exclosures than on lands used for grazing or cultivation.Spore abundance was significantly higher(P<0.0014)in area exclosures followed by cultivated land and grazing land.Glomus was the dominant genus in all land-uses.AM-inoculated F.albida seedlings grew better(P<0.05)than non-inoculated controls.Seedlings inoculated with AM from area exclosure had significantly(P<0.05)higher growth and nutrient uptake than those inoculated with AM from grazing and cultivated land.This emphasizes the importance of the native soil AM potential for better establishment of seedlings to achieve optimum plant growth improvement and assist in rehabilitation of degraded arid lands.     

Assessing forest fragmentation in north-western Himalaya: a case study from Ranikhet forest range,Uttarakhand, India

The northwestern Himalaya harbors high levels of biodiversity due to its unique topography, climatic conditions and heterogeneity. Forest fragmentation is one of the major threats causing a decline in biodiversity in the Himalayan region. We assesses forest fragmentation and changes in land use land cover(LULC) patterns using multi-temporal satellite data over a time span of four decades(1976–2013). Fragmentation analysis using the Landscape Fragmentation Tool(LFT) reveals a decrease in core and edge areas by 14 and 2.3 %, respectively; while an increase in non-forest, patch area and perforation area by 2.1, 0.4, and 14 %, respectively. The LULC dynamics show that the areas under dense forest and scrub forest have decreased by 2.8 % and 1.9 %, respectively; and there is an increase in open forest, crop land and fallow land area by 2.6, 1.7 and 2.1 %, respectively. The quantification of landscape heterogeneity is undertaken with the help of landscape metrics computed using FRAGSTATS at class and landscape level, showing signs of increased fragmentation. Our study provides baseline database that can support the future biodiversity conservation and sustainable forest management initiatives.     

基于遥感影像的土地利用类型动态变化监测——以达拉特旗研究区为例

文章利用RS和GIS的空间分析技术,以TM遥感影像为主要信息源,通过目视解译的方法提取研究区土地利用动态变化数据,结合现地调查进行区域土地利用动态变化分析。研究结果表明:研究区不同土地利用类型之间转换明显,其中,以耕地、草地面积减少,林地、灌木林地、居民地和工矿用地增加为主。土地利用类型变化主要受经济因素影响,国家投入增加和地方经济的发展是土地利用变换的主要原因。     

Analysis of forest cover change at Khadimnagar National Park,Sylhet, Bangladesh,using Landsat TM and GIS data

We mapped the forest cover of Khadimnagar National Park （KNP） of Sylhet Forest Division and estimated forest change over a period of 22 years （1988-2010） using Landsat TM images and other GIS data. Supervised classification and Normalized Difference Vegetation Index （NDVI） image classification approaches were applied to the images to produce three cover classes, viz. dense forest, medium dense forest, and bare land. The change map was produced by differencing classified imageries of 1988 and 2010 as before image and after image, respectively, in ERDAS IMAGINE. Error matrix and kappa statistics were used to assess the accuracy of the produced maps. Overall map accuracies resulting from supervised classification of 1988 and 2010 imageries were 84.6% （Kappa 0.75） and 87.5% （Kappa 0.80）, respec- tively. Forest cover statistics resulting from supervised classification showed that dense forest and bare land declined from 526 ha （67%） to 417 ha （59%） and 105 ha （13%） to 8 ha （1%）, respectively, whereas medium dense forest increased from 155 ha （20%） to 317 ha （40%）. Forest cover change statistics derived from NDVI classification showed that dense forest declined from 525 ha （67%） to 421 ha （54%） while medium dense forest increased from 253 ha （32%） to 356 ha （45%）. Both supervised and NDVI classification approaches showed similar trends of forest change, i.e. decrease of dense forest and increase of medium dense forest, which indicates dense forest has been converted to medium dense forest. Area of bare land was unchanged. Illicit felling, encroachment, and settlement near forests caused the dense forest decline while short and long rotation plantations raised in various years caused the increase in area of medium dense forest. Protective measures should be undertaken to check further degradation of forest at KNP.     

四川退耕还林可持续经营模式探讨

退耕地是具有一定高度和坡度的特殊土地体系，受地形因素和自然规律的综合作用，孕育了经营模式上的多样性和复杂性。在分析四川水土流失现状和退耕还林工程总体布局的基础上，设计退耕还林经营模式，从宏观上提出特殊区域地方特色的退耕还林模式，以指导退耕还林工程。     

Growth and yield of two grain crops on sites former covered with eucalypt plantations in Koga Watershed,northwestern Ethiopia

Farmers in the highlands of Ethiopia often plant Eucalyptus on their farmlands. However, growing Eucalyptus, especially on farm- lands suitable for crop production has become a great concern due to its alleged long-term site effects. Our study was conducted at Koga water- shed, Mecha District, northwestern Ethiopia to investigate whether crop- lands afforested with Eucalyptus camaldulensis Dehnh. can be restored for annual crop production after tree harvest. We compared growth and yield of two agricultural crops, barley （Hordeum vulgate L.） and finger millet （Eleusine coracana （L.） Gaertn.）, grown in clear-felled stands of E. camaldulensis and continuously cultivated croplands at twelve paired farmlands under a conventional farming system. Plant height and dry matter production were evaluated as indices of crop growth, while grain weight was evaluated as an index of crop yield. Crop growth and yield measurements averaged over all farmlands differed between land-use types. For both crops, plants grown on clear-felled stands were taller than on croplands. Dry matter production and yield were also significantly greater in crops cultivated on clear-felled stands. Cropland aboveground and belowground dry matter productions were lower by 31.8 and 25.4% for barley and 32.8% and 37% for finger millet, respectively. Clear-felled stands gave an average yield of 2.91 t.ha-1 for barley and 3.27 t.ha-1 for finger millet while cropland gave a yield of 1.97 and 2.31 t.ha-1 for barley and finger millet, respectively. Farmers also responded that farm plots on former eucalypt plantations showed greater crop growth and yield thandid continuously cultivated croplands. Farmers perceived that Eucalyptus plantations improved soil fertility and they preferred clear-felled stands for crop production and wished to plant Eucalyptus on their farmlands. Our results suggest that conversion of agricultural lands to Eucalyptus plantations can increase post-felling yields of cereal crops.     

三江源自然保护区土地利用遥感分类方法研究

以三江源区域索加曲麻河自然保护区为例,基于TM影像进行数据变换和波段运算后获取的特征指数,采用决策树方法,探讨了高寒区域土地利用遥感分类方法。然后通过与传统的最大似然法监督分类所得到的结果进行对比,结果表明:利用基于指数的决策树分类方法对高寒区域土地利用/土地覆盖类型进行遥感分类,较传统的最大似然法监督分类总体精度提高15.48%,总体kappa系数提高0.174 1;滩地、沼泽、高覆盖度草地、低覆盖度草地、裸岩石砾地等地类的用户精度提高较大,分别提高28.13%,25.00%,17.86%,17.86%和12.50%。低、中、高3种覆盖度草地,裸岩石砾地的生产者精度也有较大幅度的提升。表明基于指数的决策树分类方法是高寒区域土地利用遥感分类的一种有效手段。     

基于全极化SAR影像土地覆盖分类研究

基于云南石林地区2009年4月23日的ALOS PALSAR的L波段全极化散射矩阵单视复数据,利用欧空局PolSARPro软件强大的极化处理功能,首先对数据进行极化分解,然后利用H/α/A—Wishart分类方法对该地区进行分类研究,利用2007年的森林资源二类调查数据作为真实样本数据进行精度检验。结果表明,全极化SAR数据可有效识别出建筑用地、林地、耕地、裸地和水域5种地物覆盖类型,总体分类精度达80.87%。     

Satellite monitoring of land-use and land-cover changes in northern Togo protected areas

Remote-sensing data for protected areas in northern Togo, obtained in three different years （2007, 2000, and 1987）, were used to assess and map changes in land cover and land use for this drought prone zone. The normalized difference vegetation index （NDVI） was applied to the images to map changes in vegetation. An unsupervised classification, followed by classes recoding, filtering, identifications, area computing and post-classification process were applied to the composite of the three years of NDVI images. Maximum likelihood classification was applied to the 2007 image （ETM＋2007） using a supervised classification process. Seven vegetation classes were defined from training data sets. The seven classes included the following biomes： riparian forest, dry forest, flooded vegetation, wooded savanna, fallows, parkland, and water. For these classes, the overall accuracy and the overall kappa statistic for the classi- fied map were 72.5% and 0.67, respectively. Data analyses indicated a great change in land resources; especially between 1987 and 2000 proba- bly due to the impact of democratization process social, economic, and political disorder from 1990. Wide-scale loss of vegetation occurred during this period. However, areas of vegetation clearing and regrowth were more visible between 2000 and 2007. The main source of confusion in the contingency matrix was due to heterogeneity within certain classes. It could also be due to spectral homogeneity among the classes. This research provides a baseline for future ecological landscape research and for the next management program in the area.     

Urban land-use impacts on composition and spatiotemporal variations in abundance and biomass of earthworm community

Soil fauna can sensitively respond to alterations in soil environment induced by land-use changes.However,little is known about the impact of urban land-use changes on earthworm communities.In this study,three land-use types(i.e.,forest,nursery and abandoned lands)were chosen to identify differences in diversity,abundance and biomass of earthworm community in Kunming City.Urban land-use had a pronounced difference in species composition,evenness and diversity of earthworm communities.Forest land had the highest density,biomass and diversity of the earthworm communities.Total abundance was dominated by endogeic species in nursery land(70%)and abandoned land(80%),whereas in the forest land,the earthworm community comprised epigeic,endogeic and anecic species.Temporal changes in earthworm density and biomass were also significantly affected by land-use change.Total density and biomass of earthworms in the forest and nursery lands were highest in September,but highest in the abandoned land in October.The influence of soil physicochemical properties on the earthworm density and biomass also varied with land-use types.Soil temperature significantly affected earthworm density and biomass in the three land-use types.Soil pH was positively correlated with earthworm biomass in the forest land,but negatively associated with earthworm density in the abandoned land.Soil organic matter was positively correlated only with density and biomass of earthworms in the nursery and abandoned lands.Our results suggest that the species composition,abundance and biomass of earthworm communities can be determined by the modification of soil properties associated with urban land-use type.     

Factors that influence the intensity of non-agricultural management of plant resources

We investigated the relationships of land tenure, biological, cultural and spatial variables and their effect on the intensity of management of 20 edible plants used by the Santa Maria Tecomavaca community in Oaxaca State, Mexico. We developed a non-linear generalized model showing that land ownership, cultural importance and biological characteristics of a plant are the most significant factors influencing farmers’ decisions to intensify management of plant resources. On common land, species with high cultural importance and long life cycles are managed intensively, while, regardless of cultural importance, species with short life cycles are simply gathered. On land where particular people have an acknowledged right of use, species with long life cycles are always managed at an intermediate level of intensity regardless of their cultural importance, while for species with short life cycles, management intensity tends to slightly decrease as cultural importance increases. Even though management is generally more intensive in lands where individuals have use rights, as expected from the “supervised collective action model”, culturally important resources are more intensively managed in communal areas, probably as a result of a long tradition of consumption and of their economic importance.