scholarly journals Climatic and Socioeconomic Aspects of Mushrooms: The Case of Spain

2019 ◽  
Vol 11 (4) ◽  
pp. 1030 ◽  
Author(s):  
Emilio Martínez-Ibarra ◽  
María Gómez-Martín ◽  
Xosé Armesto-López
Keyword(s):  
Rural Areas ◽  
Climatic Factors ◽  
Climatic Variability ◽  
Human Society ◽  
Edible Fungi ◽  
Factors Affecting ◽  
Natural Production ◽  
Socioeconomic Aspects ◽  
Mediterranean Regions ◽  
Social Importance

Fungi are some of the most diverse organisms on earth and since prehistoric times have played an important role in human society. In recent years they have become a strategic asset not only in the conservation and management of ecosystems but also as a resource for halting the exodus from rural areas in peripheral Mediterranean regions, such as inland eastern Spain. In view of this important ecological and socioeconomic role, in this paper we present a geographical analysis of edible fungi, paying particular attention to the Spanish case. To this end we carried out a bibliographic review of the climatic factors affecting the fruiting of these fungi and the socioeconomic aspects of their commercial exploitation. We also performed an online search for mycotourism-related activities and explored the statistical data on the cultivation of edible mushrooms and its economic impact. Our main findings include a synthesis of the international research on the effects of climatic variability on the natural production of macrofungi, and an assessment of the economic viability and the social importance of mushrooms in Spain, in particular in relation to the current and future potential of mushroom cultivation and the multifunctional management and use of forests.

scholarly journals Differentiation of Rural Development Driven by Natural Environment and Urbanization: A Case Study of Kashgar Region, Northwest China

2019 ◽  
Vol 11 (23) ◽  
pp. 6859 ◽  
Author(s):  
Jinping Lin ◽  
Jun Lei ◽  
Zhen Yang ◽  
Jiangang Li
Keyword(s):  
Rural Development ◽  
Rural Areas ◽  
Northwest China ◽  
Indicator System ◽  
Economic Transformation ◽  
Rural Landscape ◽  
Human Society ◽  
Analysis Method ◽  
Factors Affecting ◽  
Different Types

With the socio-economic transformation, the recombination of regional development factors and the followed reconstruction of the rural development elements system have profoundly changed the rural landscape of the Kashgar region in Northwest China. The factors affecting the rural production and lifestyle interact with each other, shaping different types of rural development. Accordingly, basing on the main factors influencing the rural development ability and long-term development potential, the assessment indicator system of rural comprehensive development (RCD) was established to reveal the differentiation of rural development and identify the dominant factors affecting rural development. The principal component analysis method and the cluster analysis method was used to distinguish the different types. The results show that the high-level rural development areas are mainly concentrated in the center of the region, while the low-level areas are mainly distributed in the periphery, with significant spatial differentiation characteristics. We divided the rural development into three categories and 11 zones for which the basic natural conditions and external challenges are different. The categories reflect three possible results of rural development: grow, decline, and vanish, which is in the industrialization development stage. With the transformation of human society and the change of urban–rural relationship in its mode and content, the external economy, society, and changing environment has put pressures on rural areas. Therefore, according to different rural development types, it is necessary to take measures to strengthen the rural areas to cope with external environmental challenges.

scholarly journals Implications of Decreasing Farm Size on Urbanization: A Case Study of Punjab Pakistan

2018 ◽  
Vol 5 (2) ◽  
pp. 71 ◽  
Author(s):  
Umar Mukhtar ◽  
Zhong Zhangbao ◽  
Tian Beihai ◽  
Muhammad Asad Ur Rehman Naseer ◽  
Amar Razzaq ◽  
...  
Keyword(s):  
Rural Areas ◽  
Urban Areas ◽  
Climatic Factors ◽  
Influential Factors ◽  
High Rate ◽  
Farm Size ◽  
Migration Decision ◽  
Factors Affecting ◽  
Set Up ◽  
The Impact

The rate of urbanization in Pakistan especially in Punjab is quite high. The reason behind this is the high population growth that is about 2.4 percent in the last decade. This causes a burden on the farm size and in rural areas people have no choice except to move in the urban areas for their livelihood. The main objective of this study was to identify the key influential factors that affect the decision to migrate. Study evaluated the impact of economic, social, demographic, natural and climatic factors on the welfare of the migrants and non-migrant’s households. For this purpose, an extensive survey from 504 respondents was carried out in four districts of Punjab, Pakistan. Due to the dichotomous nature of the dependent variable i.e. migrant and non-migrant, logistic regression was employed on the collected data using Stata. Results revealed that unemployment, educational and health facilities, family conflicts, small farm size for agricultural activities, and greater family size are the main influencing factors affecting migration decision from rural to urban areas. This creates the strong implications i.e. putting burden on the urban areas due to the high rate of urbanization. So, it is however recommended to stem down the rate of migration all necessary facilities should be provided in the rural areas and Agro-based must be set up near the rural areas providing employment opportunities for the rural dwellers.

scholarly journals Demographic effects of interacting species: exploring stable coexistence under increased climatic variability in a semiarid shrub community

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Ana I. García-Cervigón ◽  
Pedro F. Quintana-Ascencio ◽  
Adrián Escudero ◽  
Merari E. Ferrer-Cervantes ◽  
Ana M. Sánchez ◽  
...  
Keyword(s):  
Population Dynamics ◽  
Species Coexistence ◽  
Climatic Factors ◽  
Demographic Data ◽  
Climatic Variability ◽  
Biotic Interactions ◽  
Vital Rates ◽  
Climatic Fluctuations ◽  
Demographic Models ◽  
Shrub Community

AbstractPopulation persistence is strongly determined by climatic variability. Changes in the patterns of climatic events linked to global warming may alter population dynamics, but their effects may be strongly modulated by biotic interactions. Plant populations interact with each other in such a way that responses to climate of a single population may impact the dynamics of the whole community. In this study, we assess how climate variability affects persistence and coexistence of two dominant plant species in a semiarid shrub community on gypsum soils. We use 9 years of demographic data to parameterize demographic models and to simulate population dynamics under different climatic and ecological scenarios. We observe that populations of both coexisting species may respond to common climatic fluctuations both similarly and in idiosyncratic ways, depending on the yearly combination of climatic factors. Biotic interactions (both within and among species) modulate some of their vital rates, but their effects on population dynamics highly depend on climatic fluctuations. Our results indicate that increased levels of climatic variability may alter interspecific relationships. These alterations might potentially affect species coexistence, disrupting competitive hierarchies and ultimately leading to abrupt changes in community composition.

Impact of climatic conditions on the parameters of failure flow of military vehicles

2021 ◽  
pp. 095440702110202
Author(s):  
Nikolaj Dobrzinskij ◽  
Algimantas Fedaravicius ◽  
Kestutis Pilkauskas ◽  
Egidijus Slizys
Keyword(s):  
Climatic Factors ◽  
Armed Forces ◽  
Climatic Conditions ◽  
Operating Conditions ◽  
Technical Equipment ◽  
Factors Affecting ◽  
Military Vehicles ◽  
Equipment Reliability ◽  
Number Of Factors ◽  
The Impact

Relevance of the article is based on participation of armed forces in various operations and exercises, where reliability of machinery is one of the most important factors. Transportation of soldiers as well as completion of variety of tasks is ensured by properly functioning technical equipment. Reliability of military vehicles – armoured SISU E13TP Finnish built and HMMWV M1025 USA built were selected as the object of the article. Impact of climatic conditions on reliability of the vehicles exploited in southwestern part of the Atlantic continental forest area is researched by a case study of the vehicles exploitation under conditions of the climate of Lithuania. Reliability of military vehicles depends on a number of factors such as properties of the vehicles and external conditions of their operation. Their systems and mechanisms are influenced by a number of factors that cause different failures. Climatic conditions represent one of the factors of operating load which is directly dependent on the climate zone. Therefore, assessment of the reliability is started with the analysis of climatic factors affecting operating conditions of the vehicles. Relationship between the impact of climatic factors and failure flow of the vehicles is presented and discussed.

Examining Driver Injury Severity in Single-Vehicle Road Departure Crashes Involving Large Trucks

2021 ◽  
pp. 036119812110101
Author(s):  
Mehdi Hosseinpour ◽  
Kirolos Haleem
Keyword(s):  
Rural Areas ◽  
Injury Severity ◽  
Factors Affecting ◽  
Crash Data ◽  
Natural Logarithm ◽  
Concrete Barriers ◽  
Local Roads ◽  
Single Vehicle ◽  
Safety Countermeasures ◽  
Injury Severities

Road departure (RD) crashes are among the most severe crashes that can result in fatal or serious injuries, especially when involving large trucks. Most previous studies neglected to incorporate both roadside and median hazards into large-truck RD crash severity analysis. The objective of this study was to identify the significant factors affecting driver injury severity in single-vehicle RD crashes involving large trucks. A random-parameters ordered probit (RPOP) model was developed using extensive crash data collected on roadways in the state of Kentucky between 2015 and 2019. The RPOP model results showed that the effect of local roadways, the natural logarithm of annual average daily traffic (AADT), the presence of median concrete barriers, cable barrier-involved collisions, and dry surfaces were found to be random across the crash observations. The results also showed that older drivers, ejected drivers, and drivers trapped in their truck were more likely to sustain severe single-vehicle RD crashes. Other variables increasing the probability of driver injury severity have included rural areas, dry road surfaces, higher speed limits, single-unit truck types, principal arterials, overturning-consequences, truck fire occurrence, segments with median concrete barriers, and roadside fixed object strikes. On the other hand, wearing seatbelt, local roads and minor collectors, higher AADT, and hitting median cable barriers were associated with lower injury severities. Potential safety countermeasures from the study findings include installing median cable barriers and flattening steep roadside embankments along those roadway stretches with high history of RD large-truck-related crashes.

scholarly journals Intraocular Lens Dislocation after Cataract Surgery in Tambolaka, Southwest Sumba, Indonesia: A Case Report

2018 ◽  
Vol 9 (1) ◽  
pp. 179-184
Author(s):  
Ratna Sitompul
Keyword(s):  
Case Report ◽  
Intraocular Lens ◽  
Rural Areas ◽  
Rare Complication ◽  
Cataract Extraction ◽  
Factors Affecting ◽  
Intraocular Lens Dislocation ◽  
Post Surgery ◽  
The Right ◽  
Iol Dislocation

Intraocular lens (IOL) dislocation is a rare complication of cataract extraction requiring prompt surgery. This case report aims to raise awareness of such cases and the importance of post-surgery follow-up. A 58-year-old female patient was found with anterior IOL dislocation a week after phacoemulsification surgery in her right eye. Visual acuity of the right eye was 1/60 with ciliary injection and IOL dislocation to the anterior chamber of the right eye. The patient underwent surgery of the right eye and the IOL haptic was found to be broken. In this case report, the factors affecting IOL dislocation are axis length, broken IOL haptic, and patient activity that increased intraocular pressure. Cataract extraction surgery, although common, needs to be conducted carefully, and it is important for ophthalmologists and general practitioners to detect this condition, especially in rural areas where facilities are limited, as IOL dislocation could occur and requires immediate treatment to achieve a better result.

Ramification of Global and Local Climatic Variability on Resurgent Cases of Dengue in Delhi, India

2021 ◽  
Vol 14 (7) ◽  
pp. 32-41
Author(s):  
Netrananda Sahu ◽  
Martand Mani Mishra
Keyword(s):  
Climatic Factors ◽  
Global Climate ◽  
Climatic Variability ◽  
Climatic Variation ◽  
Statistical Tool ◽  
High Positive Correlation ◽  
Local Climate ◽  
Vector Borne Diseases ◽  
Monsoon Index ◽  
Vector Borne

It has become evident that the global climate is changing rapidly over the past few decades. The variation and change in the global climatic factors have a notable impact on the local climate of a region. The changing climate is widely regarded as one of the most serious global health threats of the 21st century. Among various kinds of diseases, the most vulnerable to these changes are vector-borne diseases. In the Indian context, particularly Delhi city is the most vulnerable to dengue, a kind of vector-borne disease having its highest impact. We sought to identify and explore the correlation and influence of the global climatic phenomena and local climatic factors with the reported number of dengue cases in Delhi. The temporal expansions of reported dengue cases in Delhi have a variation from its first major outbreak in the city during the year 1996 to 2015. A statistical tool like Pearson Product Moment Correlation (PPMC) is used in this study to establish the interrelationship and the level of impact and local climatic variation on dengue. An exceptional negative correlation value of r = -0.82 between the monsoon index and the dengue incidences was reported during the positive years and also maintains a very high positive correlation with other global climatic indices. The study here finds that there is a strong correlation of climatic variation which further influences the epidemiology of dengue in Delhi.

scholarly journals Urban rats have less variable, higher protein diets

2018 ◽  
Vol 285 (1889) ◽  
pp. 20181441 ◽  
Author(s):  
E. Guiry ◽  
M. Buckley
Keyword(s):  
Urban Ecology ◽  
Rural Areas ◽  
Urban Areas ◽  
Conservation Strategies ◽  
Human Society ◽  
Animal Management ◽  
Wide Range ◽  
Brown Rat ◽  
Dietary Niche ◽  
Urban And Rural Areas

Over the past 1000 years, rats ( Rattus spp.) have become one of the most successful and prolific pests in human society. Despite their cosmopolitan distribution across six continents and ubiquity throughout the world's cities, rat urban ecology remains poorly understood. We investigate the role of human foods in brown rat ( Rattus norvegicus ) diets in urban and rural areas over a 100 year period ( ca AD 1790–1890) in Toronto, Canada using stable carbon ( δ 13 C) and nitrogen ( δ 15 N) isotope analyses of archaeological remains. We found that rat diets from urban sites were of higher quality and were more homogeneous and stable over time. By contrast, in rural areas, they show a wide range of dietary niche specializations that directly overlap, and probably competed, with native omnivorous and herbivorous species. These results demonstrate a link between rodent diets and human population density, providing, to our knowledge, the first long-term dietary perspective on the relative value of different types of human settlements as rodent habitat. This study highlights the potential of using the historical and archaeological record to provide a retrospective on the urban ecology of commensal and synanthropic animals that could be useful for improving animal management and conservation strategies in urban areas.

Assessing the impact of seasonal precipitation and temperature on vegetation in a grass-dominated rangeland

2014 ◽  
Vol 36 (2) ◽  
pp. 185 ◽  
Author(s):  
Fang Chen ◽  
Keith T. Weber
Keyword(s):  
Vegetation Index ◽  
Climatic Factors ◽  
Growing Season ◽  
Vegetation Growth ◽  
Factors Affecting ◽  
Growing Seasons ◽  
Normalised Difference Vegetation Index ◽  
Moderate Resolution Imaging Spectroradiometer ◽  
The Impact ◽  
Precipitation And Temperature

Changes in vegetation are affected by many climatic factors and have been successfully monitored through satellite remote sensing over the past 20 years. In this study, the Normalised Difference Vegetation Index (NDVI), derived from the Moderate Resolution Imaging Spectroradiometer (MODIS) onboard the Terra satellite, was selected as an indicator of change in vegetation. Monthly MODIS composite NDVI at a 1-km resolution was acquired throughout the 2004–09 growing seasons (i.e. April–September). Data describing daily precipitation and temperature, primary factors affecting vegetation growth in the semiarid rangelands of Idaho, were derived from the Surface Observation Gridding System and local weather station datasets. Inter-annual and seasonal fluctuations of precipitation and temperature were analysed and temporal relationships between monthly NDVI, precipitation and temperature were examined. Results indicated NDVI values observed in June and July were strongly correlated with accumulated precipitation (R2 >0.75), while NDVI values observed early in the growing season (May) as well as late in the growing season (August and September) were only moderately related with accumulated precipitation (R2 ≥0.45). The role of ambient temperature was also apparent, especially early in the growing season. Specifically, early growing-season temperatures appeared to significantly affect plant phenology and, consequently, correlations between NDVI and accumulated precipitation. It is concluded that precipitation during the growing season is a better predictor of NDVI than temperature but is interrelated with influences of temperature in parts of the growing season.

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