Climate change and the agricultural sector in Ireland: examining farmer awareness and willingness to adopt new advisory mitigation tools     

Domna Tzemi  James Breen 《Climate Policy》2019,19(5):611-622

Agriculture is responsible for the bulk of Ireland’s greenhouse gas (GHG) emissions. However, the potential to mitigate some of these emissions through the adoption of more efficient farm management practices may be hampered by farmers’ awareness and attitude towards climate change and agriculture’s role in contributing to GHG emissions. This paper presents results from a survey of 746 Irish farmers in 2014, with a view to understanding farmers’ awareness of, and attitudes to, climate change and GHG emissions. Survey results show that there was a general uncertainty towards a number of questions related to agricultural GHG emissions, e.g. if tilling of land causes GHG emissions, and that farmers were reluctant to take action to reduce GHG emissions on their farm. To further explore farmers’ attitudes towards climate change, a multinomial logit model was used to examine the socio-economic factors that affect farmers’ willingness to adopt an advisory tool that would show the potential reduction in GHG emissions from the adoption of new technologies. Results show that farmers’ awareness of human-induced global climate change was positively related to the tool’s adoption.

Key policy insights

• Irish farmers are generally not sufficiently aware of the impact of their activities on climate change.

• A quarter of farmers believed that climate change will only impact on their business in the long-term; such an attitude may lead to a reluctance amongst these farmers to adopt management practices that reduce GHG emissions.

• Awareness of climate change affects positively the adoption of new tools to reduce GHG emissions on farmers’ farms.

• IT literacy affects willingness to adopt new tools to address GHG emissions.

• Reception of agri-environmental advice can have a positive influence on farmers’ willingness to adopt new GHG emission abatement tools.

• Farmers in receipt of environmental subsidies are more likely to adopt new abatement tools, either because they are more environmentally conscious or because the subsidy raised their environmentally consciousness.

• Willingness to adopt differs between different farm enterprises; operating dairy enterprise increases the willingness to adopt new advisory mitigation tools.

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关联演化视角下地理学区域韧性分析的新思考   总被引：3，自引：1，他引：2  

李艳  陈雯  孙阳 《地理研究》2019,38(7):1694-1704

区域韧性是一个区域应对发展进程中短期冲击与长期变化、积极进行自我调适与转型的能力,表征了区域的适应性、创新性与可持续性,作为新兴理念反映了地理学可持续发展与区域研究的新需求。本研究综述了区域韧性研究进展,基于关联演化视角,探索构建区域韧性认知框架,将情境分析与过程分析并重,思考并总结区域韧性分析的方法论,尝试建立区域韧性评估方程,从经济、社会、环境及制度四个维度进行区域韧性评估,将区域韧性应用于中国地理学研究,分析中国区域韧性研究的一般性与特殊性,将区域韧性研究对接中国实际问题,以期对区域韧性研究做出理论贡献,助推地理学区域发展研究及相关认知领域的跨学科讨论、知识集成与学术交流,为国家制定相关区域政策提供参考,并为国家及区域可持续发展提供科学指引。  相似文献   

态势感知模式下的互联网“问题地图”监管工作探究     

张雨心  左栋 《测绘通报》2019,(7):118-121,137

近年来,传统的媒体网站和新兴的微博、微信等自媒体平台上使用地图配合相关新闻的报道呈明显上升趋势。目前,我国行业主管部门已经建立了相应的软件监管平台,每天都有大量的“问题地图”被系统监测到。但当“问题地图”被监测到之后,系统采用的数据存储方式远不能适应当今大数据时代多维度、立体式数字信息存储、分析的发展潮流。本文通过对态势感知技术的研究,结合互联网“问题地图”监管工作的具体特点,设计了“问题地图”模型的格式及“问题地图”大数据库规格,并以此为基础模拟制定几类“问题地图”态势分析模式,对态势感知模式下的互联网“问题地图”监管工作进行了探究,使国家互联网地理信息监管的相关工作能够得到进一步发展。  相似文献   

Same space – different perspectives: comparative analysis of geographic context through sketch maps and spatial video geonarratives     

Andrew Curtis  Jayakrishnan Ajayakumar  Eric Jefferis  Susanne Mitchell 《International journal of geographical information science》2019,33(6):1224-1250

ABSTRACT

The importance of including a contextual underpinning to the spatial analysis of social data is gaining traction in the spatial science community. The challenge, though, is how to capture these data in a rigorous manner that is translational. One method that has shown promise in achieving this aim is the spatial video geonarrative (SVG), and in this paper we pose questions that advance the science of geonarratives through a case study of criminal ex-offenders. Eleven ex-offenders provided sketch maps and SVGs identifying high-crime areas of their community. Wordmapper software was used to map and classify the SVG content; its spatial filter extension was used for hot spot mapping with statistical significance tested using Monte Carlo simulations. Then, each subject’s sketch map and SVG were compared. Results reveal that SVGs consistently produce finer spatial-scale data and more locations of relevance than the sketch maps. SVGs also provide explanation of spatial-temporal processes and causal mechanisms linked to specific places, which are not evident in the sketch maps. SVG can be a rigorous translational method for collecting data on the geographic context of many phenomena. Therefore, this paper makes an important advance in understanding how environmentally immersive methods contribute to the understanding of geographic context.  相似文献   

Semantic segmentation of high spatial resolution images with deep neural networks     

Haiping Yang  Jiancheng Luo  Fang Chen 《地理信息系统科学与遥感》2019,56(5):749-768

Availability of reliable delineation of urban lands is fundamental to applications such as infrastructure management and urban planning. An accurate semantic segmentation approach can assign each pixel of remotely sensed imagery a reliable ground object class. In this paper, we propose an end-to-end deep learning architecture to perform the pixel-level understanding of high spatial resolution remote sensing images. Both local and global contextual information are considered. The local contexts are learned by the deep residual net, and the multi-scale global contexts are extracted by a pyramid pooling module. These contextual features are concatenated to predict labels for each pixel. In addition, multiple additional losses are proposed to enhance our deep learning network to optimize multi-level features from different resolution images simultaneously. Two public datasets, including Vaihingen and Potsdam datasets, are used to assess the performance of the proposed deep neural network. Comparison with the results from the published state-of-the-art algorithms demonstrates the effectiveness of our approach.  相似文献   

基于情境感知和序列模式挖掘的气象学习资源推荐算法     

王帅  马景奕  周远洋  王甫棣 《气象科技》2024,52(1):37-44

随着互联网的快速发展,气象部门职工作为学习者可以获得的学习资源得到极大丰富。信息超载导致检索合适的在线学习资源时遇到了困难;学习者在不同学习环境和序列访问模式上也有不同的学习需求。但是,现有的推荐系统,如基于内容的推荐和协同过滤,没有结合学习者的情境和序列访问模式,推荐结果准确度不高。本文提出了一种结合情境感知、序列模式挖掘和协同过滤算法的混合推荐算法来为学习者推荐学习资源。混合推荐算法中,情境感知被用来整合学习者的情境信息,如知识水平和学习目标;序列模式挖掘被用来对网络日志进行挖掘,发现学习者的序列访问模式;协同过滤被用来根据学习者的情境数据和序列访问模式为目标学习者计算预测并生成建议。实验和应用效果表明,该混合推荐算法推荐的质量和准确性方面优于其他推荐算法。  相似文献   

Modelling and observation of hedgerow transpiration effect on water balance components at the hillslope scale in Brittany     

Z. Thomas  R. Ghazavi  P. Merot  A. Granier 《水文研究》2012,26(26):4001-4014

Vegetation has a major influence on the water and energy balance of the earth's surface. In the last century, human activities have modified land use, inducing a consequent change in albedo and potential evapotranspiration. Linear vegetation structures (hedgerows, shelterbelts, open woodland, etc) were particularly abundant but have declined considerably over the past several decades. In this context, it is important to quantify their effect on water and energy balance both on a global scale (climate change and weather prediction) and on a local scale (soil column, hillslope and watershed). The main objective of this study was to quantify the effect of hedgerows on the water cycle by evaluating spatial and temporal variations of water balance components of a hillslope crossed by a hedgerow. Water flow simulation was performed using Hydrus‐2D to emphasize the importance of transpiration in the water balance and to evaluate water extraction from groundwater. Model validation was performed by comparing simulated and observed soil matrix potentials and groundwater levels. Hedgerow transpiration was calculated from sap flow measurements of four trees. Water balance components calculated with a one‐dimensional water balance equation were compared with simulations. Simulation runs with and without tree root uptake underlined the effect of hedgerow transpiration, increasing capillary rise and decreasing drainage. Results demonstrated that the spatial and temporal variability of water balance components was related to the hedgerow presence as well as to the meteorological context. The relations between transpiration, groundwater proximity and soil‐water availability determined the way in which water balance components were affected. Increased capillary rise and decreased drainage near hedges were related to the high transpiration of trees identified in this study. Transpiration reached twice the potential evapotranspiration when groundwater level and precipitation amounts were high. Water balance analysis showed that transpiration was a substantial component, representing 40% of total water output. These results may offer support for improving hydrological models by including the effect of land use and land cover on hydrological processes. Copyright © 2012 John Wiley & Sons, Ltd.  相似文献   

A Preliminary Study of the Self-Directed Photography of Middle-Class,Homeless, and Mobility-Impaired Children*     

Stuart C. Aitken  Joan Wingate 《The Professional geographer》1993,45(1):65-72

Understanding the ways in which children with different life experiences come to terms with day-to-day contexts and constraints has become an important topic of social science research. This study applies the technique of auto-photography to the study of children-environment transactions. How children apprehend their environments is described through a leitmotif analysis and an interpretation of photographs taken by children from middle-class families, homeless children, and children whose mobility is impaired by cerebral palsy. We speculate upon the social and physical contexts of these children based upon the images that they selected to photograph. Although impressionistic, our findings suggest the importance of auto-photography as a method for uncovering children-environment transactions.  相似文献   

Exploring the role of risk perception in influencing flood losses over time     

E. Ridolfi  F. Albrecht  G. Di Baldassarre 《水文科学杂志》2020,65(Z3):12-20

ABSTRACT

What implications do societies’ risk perceptions have for flood losses? This study uses a stylized, socio-hydrological model to simulate the mutual feedbacks between human societies and flood events. It integrates hydrological modelling with cultural theory and proposes four ideal types of society that reflect existing dominant risk perception and management: risk neglecting, risk monitoring, risk downplaying and risk controlling societies. We explore the consequent trajectories of flood risk generated by the interactions between floods and people for these ideal types of society over time. The results suggest that flood losses are substantially reduced when awareness-raising attitudes are promoted through inclusive, participatory approaches in the community. In contrast, societies that rely on top-down hierarchies and structural measures to protect settlements on floodplains may still suffer significant losses during extreme events. This study illustrates how predictions formed through social science theories can be applied and tested in hydrological modelling.  相似文献   

试论加入WTO后我国海洋文化发展的法制意识趋势     

廖宗麟 《广东海洋大学学报》2002,22(5):10-13

在漫长的旧社会 ,由于各种原因 ,使得我国沿海地区居民的法制意识比较淡薄。我国加入WTO后 ,经济生活乃至社会生活将要严格遵守规则 ,从而也将促使我国沿海地区的法制意识增强。  相似文献