Measuring trail users’ perception of crowding in a peri-urban nature park: A best-worst scaling experiment     

《Urban Forestry & Urban Greening》2018

This paper evaluates the perception of crowding, its determinants and relationship with trail users’ experience in a peri-urban nature park. Existing crowding surveys rely heavily on a single-item 9-point crowding scale which was originally developed for backcountry areas. Receiver operating characteristic (ROC) analysis was used to test the validity and reliability of this measure in detecting crowding issues and formulating visitor capacity limits. Low validity and reliability raised concerns about the applicability of this scale in similar frontcountry areas. Inability of this simple crowding measure to detect a visitor threshold brings to the fore its another important limitation – ignorance of the complexity of crowding phenomenon. The perception of crowding varies with various social, psychological and situational factors, and a best-worst scaling (BWS) experiment was designed to simultaneously evaluate different aspects of crowding in the Medvednica Nature Park, a peri-urban nature park near Zagreb, Croatia. The findings of BWS experiment revealed that occupancy of mountain huts, number of other hikers on the trail and amount of litter along the trail on average contributed most to the trail users’ sense of crowding. A latent class analysis identified a large heterogeneity in the perception of crowding; while one group of trail users (63%) was more disturbed by the direct social impacts, the others (37%) were more disturbed by the secondary impacts of other visitors, especially by the negative externalities from road traffic in the park. Older visitors had a greater tendency to primarily associate crowding with the environmental conditions. A higher impact of trail use level in the perception of crowding, younger age and more frequent use were associated with a more negative evaluation of crowding. The park management should closely monitor road traffic in the park and visitor activity on highly used trails, especially on those popular among younger trail users.  相似文献   

Genetic analyses of resistance of the wheat differential cultivars Carstens V and Spaldings Prolific to two races of Puccinia striiformis     

A. Calonnec †‡  R. Johnson §  C. de Vallavieille-Pope 《Plant pathology》2002,51(6):777-786

Genetic analysis of resistance of wheat seedlings to two races of Puccinia striiformis was conducted on F₁, F₂ and F₃ generations from crosses Carstens V (CV) × Lee, Spaldings Prolific (SPA) × Lee and CV × SPA. F₂ generations from crosses of CV and SPA with Strubes Dickkopf (SD) were also studied. The plants were classified into six resistance classes and analysed by factorial correspondence analysis and nonhierarchical classification. The two P. striiformis isolates tested were a French isolate of race 43E138 and a Lebanese isolate of race 2E16, selected for the differences in their virulence spectra for the common differential cultivars Strubes Dickkopf and Nord Desprez. Resistance of CV and SPA was recessive and dominant to races 43E138 and 2E16, respectively. CV possessed three or four resistance genes, one of them being expressed with both races. Two genes of CV had a cumulative effect for resistance to 43E138 and two or three gave dominant resistance to 2E16. SPA had three resistance genes, all of which gave resistance to 2E16 and two of which also gave resistance to 43E138. SPA had one gene in common with CV for resistance to both races. Furthermore, the gene for resistance to race 2E16 in CV and SPA was allelic with a gene in SD, and was probably Yr25 .  相似文献   

基于Landsat数据的条件植被温度指数升尺度转换方法     

王鹏新  吴高峰  白雪娇  刘峻明 《农业机械学报》2015,46(7):264-271

以陕西省关中平原为研究区域,应用点扩散函数、混合像素面积权重法和中值像素变异权重法将基于Landsat卫星遥感数据反演的分辨率为30 m的条件植被温度指数(VTCI)干旱监测结果上推至930 m的干旱监测结果,并与Aqua MODIS数据反演的分辨率为930 m的VTCI干旱监测结果进行对比分析,以期为两种空间尺度的干旱监测结果的综合应用提供技术支持。以MODIS数据反演的VTCI为参考,应用相关系数、均方根误差、半变异函数的估计值和图像纹理特征等对尺度上推的VTCI进行评价。结果表明,点扩散函数和混合像素面积权重法的尺度上推效果均较好,而中值像素变异权重法的尺度上推效果较差,说明点扩散函数和混合像素面积权重法均适用于研究区域VTCI干旱监测结果的尺度转换,且点扩散函数的数据处理过程更为简单。典型样点VTCI的尺度上推结果表明,空间异质性越小,尺度上推的结果越好。  相似文献   

区域尺度土壤入渗特征参数的变异性研究   总被引：1，自引：0，他引：1  

屈金娜  马孝义  张建兴 《灌溉排水学报》2009,28(1)

以杨凌地区为例,进行野外双环入渗试验研究,运用2种常用模型(Kostiakov模型和Philip模型)对土壤入渗参数进行模拟。在分析土壤特征参数,寻求适合区域尺度的最优入渗模型同时,对土壤的状态变量进行标定并研究标定系数的空间变异性,研究结果表明:Philip模型可作为区域最优入渗模型,土壤入渗特征参数存在明显的空间变异性,标定系数aA比as对模型参数的标定效果好,且在较大范围内存在一定的趋势性,有较好的预测效果。因此,可根据标定系数随机模拟得到某一具体时刻的土壤入渗量的空间分布,为定量分析土壤水分运动、研究土壤水分入渗的空间分布提供理论基础。  相似文献   

The structural classification of field boundaries in Mediterranean arable cropping systems allows the prediction of weed abundances in the boundary and in the adjacent crop     

A Cirujeda  G Pardo  A I Marí  J Aibar  Y Pallavicini  J L Gonzlez‐Andújar  J Recasens  X O Sol‐Senan 《Weed Research》2019,59(4):300-311

  相似文献   

秦巴山区农户多维贫困测度及精准扶贫对策研究   总被引：2，自引：0，他引：2  

马明义  李桦 《干旱区资源与环境》2019,33(1):30-37

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数字普惠金融对农村家庭相对贫困影响效应 ——基于宁夏的农户调研数据   总被引：1，自引：1，他引：0  

李昭楠  李钰婷  刘树梁  刘七军 《农业现代化研究》2021,42(6):1104-1113

随着绝对贫困的全面消除,我国将进入以相对贫困治理为核心的扶贫工作新阶段,发挥数字普惠金融减缓相对贫困的效应至关重要。本文利用宁夏3县区9村426户田野调查数据,运用熵值法、A-F法、Logit模型和中介效应模型,在测算数字普惠金融指数和识别多维相对贫困家庭的基础上,分析数字普惠金融对农村家庭多维相对贫困的影响效应,探讨其影响机制。结果表明,宁夏农村地区经济维度的“贫”已基本得到消除,但健康、教育、安全饮水和卫生厕所等因素导致的相对之“困”依然严峻。农户在数字普惠金融的结算、储蓄和信贷服务已有部分涉及,但对互联网投资、互联网保险等深层次金融业务的参与尚且较低。数字普惠金融对不同权重下的相对贫困均有显著的减缓作用,并且随着剥夺维度提升其减贫作用呈增长态势。数字普惠金融可以通过提高农户电商意愿及行为、增强健康意识、促进消费进而达到缓解相对贫困之目的。因此,为减缓宁夏农村家庭相对贫困状况,需注重农户自我发展能力提升与农村生活标准改善,深化农户数字普惠金融使用深度,充分发挥数字普惠金融的减贫助农作用等。  相似文献   

根系带水质量模型参数灵敏度分析与标定的研究   总被引：2，自引：0，他引：2  

朱国威  任理 《灌溉排水学报》2011,30(2):5-9

利用收集的河南省新乡试验站田间试验数据对根系带水质量模型(ROOt Zone Water Quality Model,RZWQM)输入参数进行灵敏度分析和标定.结果表明,通过参数的灵敏度分析结果对RZWQM进行调参,节省参数校核时间,提高精度.参数标定后模拟值与实测值的对比显示,土壤含水量的模拟均方根差和平均相对误差分...  相似文献   

Performance and uncertainty analysis of a short-term climate reconstruction based on multi-source data in the Tianshan Mountains region,China     

LI Xuemei 《干旱区科学》2020,12(3):374-396

Short-term climate reconstruction, i.e., the reproduction of short-term(several decades) historical climatic time series based on the relationship between observed data and available longer-term reference data in a certain area, can extend the length of climatic time series and offset the shortage of observations. This can be used to assess regional climate change over a much longer time scale. Based on monthly grid climate data from a Coupled Model Inter-comparison Project phase 5(CMIP5) dataset for the period of 1850–2000, the Climatic Research Unit(CRU) dataset for the period of 1901–2000 and the observed data from 53 meteorological stations located in the Tianshan Mountains region(TMR) of China during the period of 1961–2011, we calibrated and validated monthly average temperature(MAT) and monthly accumulated precipitation(MAP) in the TMR using the delta, physical scaling(SP) and artificial neural network(ANN) methods. Performance and uncertainty during the calibration(1971–1999) and verification(1961–1970) periods were assessed and compared using traditional performance indices and a revised set pair analysis(RSPA) method. The calibration and verification processes were subjected to various sources of uncertainty due to the influence of different reconstructed variables, different data sources, and/or different methods used. According to traditional performance indices, both the CRU and CMIP5 datasets resulted in satisfactory calibrated and verified MAT time series at 53 meteorological stations and MAP time series at 20 meteorological stations using the delta and SP methods for the period of 1961–1999. However, the results differed from those obtained by the RSPA method. This showed that the CRU dataset produced a low degree of uncertainty(positive connection degree) during the calibration and verification of MAT using the delta and SP methods compared to the CMIP5 dataset. Overall, the calibrated and verified MAP had a high degree of uncertainty(negative connection degree) regardless of the dataset or reconstruction method used. Therefore, the reconstructed time series of MAT for the period of 1850(or 1901)–1960 based on the CRU and CMIP5 datasets using the delta and SP methods could be used for further study. The results of this study will be useful for short-term(several decades) regional climate reconstruction and longer-term(100 a or more) assessments of regional climate change.  相似文献   

31个国外甘蔗引进种灰色多维综合评估   总被引：2，自引：0，他引：2  

刘家勇  范源洪  杨洪昌  赵俊  赵培方  吴才文  陈学宽 《西南农业学报》2006,19(4):683-687

对法国和澳大利亚引进的31个甘蔗品种/材料进行了试验筛选,并用灰色多维综合评估法对选择结果进行分析。结果表明,31个引进种中有6个优秀,4个差,10个良好,其余均为一般。这一结果与田间选择和重点繁殖的结果有很高的一致性。  相似文献