Selection Of Environmental Factors Research Articles

Plant-Based Dairy Alternatives Contribute to a Healthy and Sustainable Diet.

Plant-based foods are increasing in popularity as more and more people are concerned about personal and planetary health. The consumption of plant-based dairy alternatives (PBDAs) has assumed a more significant dietary role in populations shifting to more sustainable eating habits. Plant-based drinks (PBDs) made from soya and other legumes have ample protein levels. PBDs that are appropriately fortified have adequate levels of important vitamins and minerals comparable to dairy milk. For the PBDs examined, the greenhouse gas emissions were diminished by 59-71% per 250 mL, and the land use and eutrophication impact was markedly less than the levels displayed by dairy milk. The water usage for the oat and soya drinks, but not rice drinks, was substantially lower compared to dairy milk. When one substitutes the 250 mL serving of dairy milk allowed within the EAT Lancet Planetary Health Diet for a fortified plant-based drink, we found that the nutritional status is not compromised but the environmental footprint is reduced. Combining a nutrient density score with an environmental index can easily lead to a misclassification of food when the full nutrition profile is not utilized or only a selection of environmental factors is used. Many PBDAs have been categorized as ultra-processed foods (UPFs). Such a classification, with the implied adverse nutritional and health associations, is inconsistent with current findings regarding the nutritional quality of such products and may discourage people from transitioning to a plant-based diet with its health and environmental advantages.

Influence of Spatial Scale Selection of Environmental Factors on the Prediction of Distribution of Coilia nasus in Changjiang River Estuary

An estuary region is a complex environment with a transition from fresh to brackish to salt water, and in which some environmental factors change dramatically over small ranges. Therefore, it is important to understand the impact of the selection of spatial scale on the prediction of the distribution of estuarine species. As the largest estuary in China, the Changjiang River estuary is the spawning ground, feeding ground, and migration channel for many species. Based on Coilia nasus, an important economic fish species in the Changjiang River estuary, this study uses the two-stage generalized additive model (GAM) to investigate the potential differences in the response of species’ spatial distribution when environmental factors are assessed at different spatial scales (1′ × 1′, 2′ × 2′, 3′ × 3′, 4′ × 4′, 5′ × 5′). The results showed the following: (1) according to the analysis of the variance inflation factor (VIF), the values of all environmental factors were less than three and we found no correlation among the environmental variables selected. (2) The first stage GAM retained six variables, including year, month, latitude (Lat), water depth (Depth, m), bottom salinity (Sal, mg/L), and chemical oxygen demand (COD, mg/L). The second stage GAM retained four variables, including Year, Lat, pH, and chlorophyll a (Chl-a, μg/L). (3) The mean value of the Chla for the 3′ × 3′ spatial scale was significantly lower than that of the other spatial scales, and the mean value of Sal for the 5′ × 5′ spatial scale was higher than that of the other spatial scales. (4) In terms of the spatial distribution of abundance, the distribution patterns of C. nasus predicted by all scales were not very similar, and the distribution patterns predicted by the 5′ × 5′ scale, in the autumn of 2012, were significantly different from those at other scales. Therefore, the selection of spatiotemporal scales may affect predictions of the spatial distributions of species. We suggest that potential spatiotemporal scale effects should be evaluated in future studies.

Do sub-groups of butterflies display different elevational distribution patterns in the Eastern Himalaya, India?

Understanding the pattern of biodiversity along environmental gradients helps in identifying diversity hotspot areas that can be prioritized for conservation. While the elevational distribution of several taxa has been studied, responses of the sub-groups within a taxon to elevation and its associated factors are not properly understood. Here we study species richness and butterfly density along an elevation gradient in Sikkim, Eastern Himalaya, India and explore the underlying causes of the patterns. We sampled butterflies using a fixed-width point count method in 16 elevational bands (150–200 m intervals), between a range of 300 and 3300 m a.s.l. We categorized butterflies into various sub-groups based on family, range size, biogeographic affinity, and host-plant specialization. We recorded 3603 individuals and 253 species of butterflies after the completion of 1860 point counts. Overall, species richness in the majority of the sub-groups (except for Riodinidae and Palearctic species) declines with elevation, as does the density of almost all the sub-groups. From a selection of environmental factors, annual actual evapotranspiration has the strongest effect on the species richness pattern of butterflies as well as on the density of the overall butterfly community, especially the Lycaenidae family. The richness and density of butterfly groups display varied responses to the richness and density of trees and shrubs. The conducive climatic conditions and diverse habitats in the lower valleys of the Eastern Himalaya support a high diversity of butterflies (with majority of small range species) and thus warrants conservation attention.

An Improved Atmospheric Corrosion Prediction Model Considering Various Environmental Factors

There are obvious differences in the corrosion process of materials in different climatic regions, and it is of great significance to establish the corrosion process model considering the effects of environmental factors to improve environmental adaptability. However, many existing models do not take comprehensive environmental factors into account, and the selection of environmental factors in these corrosion models is not sufficiently investigated. Meanwhile, the comparison of models is also based on goodness-of-fit. In order to improve the atmospheric corrosion prediction model and use an improved method to judge the suitable model instead of traditional goodness-of-fit, this paper first studies the effects of various atmospheric environment factors on corrosion loss. Then a corrosion prediction model considering the influence of various atmospheric environment factors is proposed, and the fitting effect is compared with the previous model with experimental data. Considering that the best fitting cannot guarantee the best prediction, a new criterion of model selection is also proposed for corrosion model confirmation. Corrosion prediction results reveal that the proposed model is more effective than the existing models. Finally, the influence of the environmental factors on the model output is discussed by sensitivity analysis.

Recent land use and management changes decouple the adaptation of livestock diversity to the environment

Native livestock breeds, i.e. those autochthonous to a specific region, are locally adapted domesticated animals that conserve genetic resources, guaranty food security and provide agroecosystem services. Native breeds are largely threatened worldwide by agricultural intensification and rural areas abandonment processes related to recent changes in production schemes and planning. Yet, our gap of knowledge regarding livestock breed-environment relationships may prevent the design of successful conservation measures. In this work, we analyse the links between livestock diversity -i.e. richness of native breeds- and a selection of environmental factors that express at broad scales, with a temporal perspective. We compare native breeds distributional patterns before and after the agricultural intensification, in the context of land-use change in mainland Spain. Our results confirm the existence of strong associations between the distribution of native livestock breeds and environmental factors. These links, however, weaken for contemporary distributions. In fact, changes in breed distribution reflect a shift towards more productive environments. Finally, we found that the areas having higher breed richness are undergoing land abandonment processes. Succeeding in the conservation of threatened native breeds will require going beyond merely genetic and production-oriented views. Ecological and sociocultural perspectives should also be accounted for as global change processes are determinant for livestock agrobiodiversity.

Oyster Habitat Suitability in the Northern Gulf of Mexico

ABSTRACT Oysters provide a wide variety of ecosystem services including furnishing habitat, supporting an economic industry, and enhancing water quality. To identify suitable areas for oyster restoration and aquaculture, areas of oystersuitable habitat must first be identified. A habitat suitability model is an ideal tool for identifying sites for species restoration. Because it relies on presence-only data, MaxEnt is a particularly useful habitat-suitabilitymodel for identifying restoration and species introduction sites. Habitat suitability models rely on the selection of environmental factors, which are assumed to be important for the target species; however, this selection of environmental factors is often arbitrary and there are few existing guidelines. This work applies an oyster habitat suitability model to the St. Louis Bay in the northern Gulf of Mexico. Six environmental factors, namely average salinity, maximum temperature, minimum temperature, water depth, minimum dissolved oxygen, and average...

Risk factors and spatial distribution of urban rat infestations

Urban rat infestations have multifactorial causes and may result in severe public health and environmental problems, as well as heavy economic losses. The identification of putative environmental determinants of urban rat infestations and the mapping of areas prone to experiencing such infestations (hot spots) are crucial for effectively addressing intervention efforts. We investigated the associations between a selection of environmental factors and the occurrence of rat infestations in the city of Madrid, Spain. This was done by modelling 10,956 citizen-reported rat sightings from 2002 to 2008 using generalized additive models, both at municipality (Madrid) and district (Latina) levels. Increased age and density of housing, and decreased distance to vegetated areas, markets and cat feeding stations were factors associated with an increased risk of rat infestations. Risk maps for rat infestations were also developed and recurrent hot spots of rat activity were identified. Although a better fit to the data was obtained in the model for the smaller scale and possibly more environmentally homogenous study area of Latina, modelling the spatial distribution of rat sightings was useful for identifying factors associated with an increased risk of urban rat infestations, as well as for identifying hot spots of rat activity, providing local authorities with a practical tool for effectively targeting intervention efforts to high-risk situations based on the local environmental contexts.

Environmental correlates of crimean-congo haemorrhagic fever incidence in Bulgaria

BackgroundCrimean-Congo Haemorrhagic Fever (CCHF) is a zoonotic viral disease transmitted by ixodid tick bites, mainly of Hyalomma spp., or through contact with blood/tissues from infected people or animals. CCHF is endemic in the Balkan area, including Bulgaria, where it causes both sporadic cases and community outbreaks.MethodsWe described trends of CCHF in Bulgaria between 1997 and 2009 and investigated the associations between CCHF incidence and a selection of environmental factors using a zero-inflated modelling approach.ResultsA total of 159 CCHF cases (38 women and 121 men) were identified between 1997 and 2009. The incidence was 0.13 cases per 100,000 population/year with a fatality rate of 26%. An epidemic peak was detected close to the Turkish border in the summer of 2002. Most cases were reported between April and September. Increasing mean temperature, Normalized Difference Vegetation Index (NDVI), savannah-type land coverage or habitat fragmentation increased significantly the incidence of CCHF in the CCHF-affected areas. Similar to that observed in Turkey, we found that areas with warmer temperatures in the autumn prior to the case-reporting year had an increased probability of reporting zero CCHF cases.ConclusionsWe identified environmental correlates of CCHF incidence in Bulgaria that may support the prospective implementation of public health interventions.

Understanding the Intention to Adopt XBRL: An Environmental Perspective

ABSTRACTBased on a survey of 52 U.S.-based organizations, this study investigates the influence of perceptions of environmental factors on an organization's intention to adopt XBRL, after controlling for the SEC mandate. Reflecting the view of XBRL as both a technical innovation and a standard for financial reporting, the selection of environmental factors was derived from institutional theory and from the standards adoption literature. The results suggest that perceived mimetic and normative pressures, as well as perceptions of network technologies and related technologies that facilitate the use of XBRL, exert a significant positive influence on XBRL adoption even after controlling for the effects of the SEC mandate.

Understanding the Intention to Adopt XBRL: An Environmental Perspective

Based on a survey of 52 U.S.-based organizations, this study investigates the influence of perceptions of environmental factors on an organization’s intention to adopt XBRL, after controlling for the SEC mandate. Reflecting the view of XBRL as both a technical innovation and a standard for financial reporting, the selection of environmental factors was derived from institutional theory and from the standards adoption literature. The results suggest that perceived mimetic and normative pressures as well as perceptions of network technologies and related technologies that facilitate the use of XBRL exert a significant positive influence on XBRL adoption even after controlling for the effects of the SEC mandate.