Soil protection for a sustainable future: options for a soil monitoring network for Ireland

The increased recognition of the importance of soil is reflected in the UN Post‐2015 Development Agenda with sustainable development goals that directly and indirectly relate to soil quality and protection. Despite a lack of legally binding legislation for soil protection, the European Commission remains committed to the objective of soil protection. However, the achievement of a legally binding framework for soil protection relies on the implementation of a soil monitoring network (SMN) that can detect changes to soil quality over time. As beneficiaries do not pay for the provision of soil information, the options for soil monitoring are limited. The use of existing data sets should be considered first. Using Ireland as an example, this research explored the opportunities for a SMN for Ireland considering three existing national data sets. The options for a SMN are considered in terms of their spatial and stratified distribution, the parameters to be measured and an economic analysis of the options proposed. This research finds that for Ireland, either a 10 or a 16 km² grid interval stratified by land use and drainage class offers the best potential in relation to the spatial distribution of existing data sets to reflect local data at a national level. With existing data, the stratified SIS data using the 16 km² grid offers the best value for money, with baseline costs for analysis, excluding field costs, of between €706 481 and €2.8 million. Acknowledging the impossibility of measuring all parameters with ideal frequency, this study proposes a two‐tier system for optimized monitoring frequency. Parameters must anticipate future policy requirements. Finally, the implementation of a SMN must be accompanied by standardized methods, defined thresholds and action mandates to maintain soil quality within allowable limits.     

宁夏原州区生态移民村生境景观连接度变化及其驱动因素

[目的]分析生态移民土地利用过程中生境景观连接度变化及其驱动因素,为生态移民的生态风险管理及移民可持续性提供科学依据。[方法]以宁夏原州区"十二五"时期4个生态移民村(丰泽、金轮、和润及泉港)为例,基于2016年高分影像数据,同时参考移民前谷歌地球2010年数据和第二次全国土地调查数据(2010年),经野外GPS校验,通过计算障碍影响指数和生境景观连接度指数,分析生态移民村土地利用生境景观分异。[结果]丰泽村和金轮村的生境景观连接度呈下降态势,和润村和泉港村呈上升态势。4个生态移民村的变化趋势明显,但极高连接度和高连接度比例很小。生态移民村生境景观变化驱动力主要为人为因素,建设用地占用耕地、园地普遍,其中泉港村与和润村建设用地面积年均增长率分别高达27.49%和21.28%,同时金轮村、和润村、泉港村无后备土地资源,生态压力突出。[结论] 4个生态移民村人口密度增大导致建设用地占用耕地明显,生态用地被分割,移民的非农活动比重大造成耕地撂荒,景观破碎化和孤岛化现象明显,生境景观呈现出不稳定状态,生态压力增加。     

湟源县草地资源基本特点及开发利用

湟源县草地面积有 85 1 85 .1 3hm2 ,占全县土地总面积的 5 6.45 % ,草地资源丰富 ,牧草种类较多 ,农业生产秸秆来源广泛 ,但由于利用不当 ,造成了草地严重破坏和秸秆的浪费 ,如何合理利用草地和秸秆资源 ,扼制草地退化 ,是促进该县畜牧业发展的重要因素     

土地利用景观格局动态分析——以阜康荒漠绿洲为例

阜康荒漠绿洲土地利用景观格局受自然分异和水土资源开发利用程度的制约 ,通过划分景观样带和选取景观空间格局指标 ,本文重点揭示该区域景观格局的变化及其影响因子。结果表明 :( 1 ) 1 987年至 1 998年间阜康土地利用景观格局变化主要表现为耕地面积在洪积扇上增加 ,在冲积平原上下降 ;荒地则刚好相反。林地面积在低山丘陵带和洪积扇带下降 ,在冲积平原上没有变化。牧草地面积在低山丘陵带上升 ,其他各带均下降。城镇面积在各样带上都有所增加 ,水域各带基本不变。 ( 2 )低山丘陵带和洪积扇带景观多样性和均匀度下降 ,优势度上升 ;而冲积平原则多样性和均匀度上升 ,优势度下降。景观破碎度有增加的趋势 ,表明了人为影响的不断增强。     

贵州农民财产性收入研究

阐述了财产性收入对提高贵州农民收入的重要性,深入分析了贵州农民财产性收入存在的问题和现状,并试图探索提高贵州农民的财产性收入的途径。     

内蒙古土地市场发展与对策探讨

土地资源的市场配置是实现土地资源合理利用的基本途径,内蒙古土地市场的现 状是一、二级市场均有一定发展,其协调运转机制初步形成,制度建设也取得进展。针对土地 市场存在的问题,提出垄断土地一级市场的土地供应,增强其规范性、强化土地二级市场管理、 规范土地交易行为、加强对集体建设用地流转管理的对策。     

祁连山水源涵养林综合效能的计量研究

以马克思级差地租理论,建立了祁连山水源涵养林综合效能的评价模型:E=E_d+E_e+E_s;以E与生产投资I的比值为计量水源林的效能指数T,T=E/I。并以祁连山寺大隆森林生态定位研究站实测资料和社会调查数据为计量评价参数,确定其经济评价指标体系和计量系统。结果表明:祁连山水源涵养林综合效能指标为11.93;其中生态效能和社会效能分别是直接经济效能的4.51倍和6.05倍。说明祁连山水源涵养林现行的保护、发展和综合利用的经营方针是正确的。建议河西各受益部门应按水资源效能总收入的0.5％缴作水源林再生产费,以确保国民经济建设的长远发展。     

承德山地无公害绿色果品生产技术

根据无公害绿色果品的生产要求,结合承德山地果园特点,提出了承德山地生产无公害绿色果品的配套技术,以期指导当地果品生产.     

An evaluation of the pesera soil erosion model and its application to a case study in Zakynthos, Greece

Abstract. The Pan‐European Soil Erosion Risk Assessment (pesera ) model was evaluated using existing soil erosion data collected under various types of climate, vegetation, landscape and soil conditions. The data used represent a variety of typical Mediterranean land uses such as winter wheat, vines, olives and bare, stony land prevailing in hilly areas. Using this data, the model was calibrated for sediment transport by overland flow and results compared to measured soil erosion values from runoff plots and a watershed on a monthly basis. The performance of the model was assessed statistically, showing that it can be satisfactorily used for predicting soil erosion rates under the conditions included in the study. The overall model estimate including all the available experimental data was 0.69 t ha^?1 yr^?1 with a maximum error of 1.49 t ha^?1 yr^?1. After validation, the model was applied to a small watershed (60 ha) of great ecological importance for the sea turtle Caretta caretta. For this purpose, soil and vegetation maps were compiled from all the necessary data for applying the model. The model was run for three years using daily data from an existing nearby meteorological station. The predicted and measured soil erosion rates for a 7‐month period were 0.31 t and 0.18 t, respectively. Application of the model to each mapping unit showed the over‐riding importance of land use for sediment generation under the given climatic conditions. Bare land, occupying 5.5% of the watershed area, generated up to 69% of the total sediments estimated for the watershed. It is concluded that the pesera model can be used as a regional diagnostic tool under a range of soil, topographic and climatic conditions for identifying the best land use type and vegetation cover to protect hilly areas from soil erosion. The calculated overall root mean square error for the model is 0.06 t ha^?1 yr^?1, compared to a soil erosion rate of 0.04 t ha^?1 yr^?1, which can be tolerated for protecting the area for the sea turtle.