scholarly journals The role of habitat configuration in shaping animal population processes: a framework to generate quantitative predictions

Oecologia ◽  
2021 ◽  
Author(s):  
Peng He ◽  
Pierre-Olivier Montiglio ◽  
Marius Somveille ◽  
Mauricio Cantor ◽  
Damien R. Farine

AbstractBy shaping where individuals move, habitat configuration can fundamentally structure animal populations. Yet, we currently lack a framework for generating quantitative predictions about the role of habitat configuration in modulating population outcomes. To address this gap, we propose a modelling framework inspired by studies using networks to characterize habitat connectivity. We first define animal habitat networks, explain how they can integrate information about the different configurational features of animal habitats, and highlight the need for a bottom–up generative model that can depict realistic variations in habitat potential connectivity. Second, we describe a model for simulating animal habitat networks (available in the R package AnimalHabitatNetwork), and demonstrate its ability to generate alternative habitat configurations based on empirical data, which forms the basis for exploring the consequences of alternative habitat structures. Finally, we lay out three key research questions and demonstrate how our framework can address them. By simulating the spread of a pathogen within a population, we show how transmission properties can be impacted by both local potential connectivity and landscape-level characteristics of habitats. Our study highlights the importance of considering the underlying habitat configuration in studies linking social structure with population-level outcomes.

2020 ◽  
Author(s):  
Peng He ◽  
Pierre-Olivier Montiglio ◽  
Marius Somveille ◽  
Mauricio Cantor ◽  
Damien R. Farine

AbstractBy shaping where individuals move, habitat configuration can fundamentally structure animal populations. Yet, we currently lack a framework for generating quantitative predictions about the role of habitat configuration in modulating population outcomes. For example, it is well known that the social structure of animal populations can shape spreading dynamics, but it remains underexplored to what extent such dynamics are determined by the underlying habitat configuration. To address this gap, we propose a framework and model inspired by studies using networks to characterize habitat connectivity. We first define animal habitat networks, explain how they can integrate information about the different configurational features of animals’ habitats, and highlight the need for a bottom-up generative model that can depict realistic variations in habitat structural connectivity. Second, we describe a model for simulating animal habitat networks (available in the R package AnimalHabitatNetwork), and demonstrate its ability to generate alternative habitat configurations based on empirical data, which forms the basis for exploring the consequences of alternative habitat structures. Finally, we use our framework to demonstrate how transmission properties, such as the spread of a pathogen, can be impacted by both local connectivity and landscape-level characteristics of the habitat. Our study highlights the importance of considering the underlying habitat configuration in studies linking social structure with population-level outcomes.


10.28945/3248 ◽  
2008 ◽  
Author(s):  
Cecille Marsh

Previous research conducted by the author investigated the socio-political backgrounds of two groups of female students studying computer-related university programmes. They came from distinctly different backgrounds and were enrolled at two institutions with very different legacies. The author found that socio-political factors, in particular the role of a dominant female household head and aggressive governmental affirmative action, had a significant effect on the girls’ levels of confidence and subsequently on their decision to study computer-related courses. Based on this insight, the researcher undertook to look further into gender diversity with respect to self-perceived general computer confidence and self-perceived ability to program a computer. A sample of both female and male Information T echnology students from very similar disadvantaged socio-economic backgrounds was surveyed. The sample of 204 students was drawn from all three years of the National Diploma in Information Technology. The author considered the following research questions: (i) Do males and females studying computer-related courses have differing computer selfefficacy levels? (ii) Do males and females studying computer programming have differing attitudes towards their ability to program? (iii) Do males and females differ in their attitudes towards the programming learning environment?


2020 ◽  
Vol 10 ◽  
pp. 135-146
Author(s):  
Namita Poudel

One of the profound questions that troubled many philosophers is– “Who am I?” where do I come from? ‘Why am I, where I am? Or “How I see myself?” and maybe more technically -What is my subjectivity? How my subjectivity is formed and transformed? My attempt, in this paper, is to look at “I”, and see how it got shaped. To understand self, this paper tries to show, how subjectivity got transformed or persisted over five generations with changing social structure and institutions. In other words, I am trying to explore self-identity. I have analyzed changing subjectivity patterns of family, and its connection with globalization. Moreover, the research tries to show the role of the Meta field in search of subjectivity based on the following research questions; how my ancestor’s subjectivity changed with social fields? Which power forced them to change their citizenship? And how my identity is shaped within the metafield? The methodology of my study is qualitative. Faced to face interview is taken with the oldest member of family and relatives. The finding of my research is the subjectivity of Namita Poudel (Me) is shaped by the meta field, my position, and practices in the social field.


ReCALL ◽  
2021 ◽  
Vol 33 (2) ◽  
pp. 143-160
Author(s):  
Zsuzsanna Bárkányi

AbstractThis paper examines the role of motivation, anxiety, and self-efficacy beliefs and their interplay with regard to speaking on beginners’ Spanish LMOOCs. It answers three research questions: (1) what are learners’ motivations and goals for joining these LMOOCs and how do these relate to foreign language speaking anxiety; (2) how do learners’ self-efficacy beliefs and anxiety levels change as a result of course completion; and (3) is there a correlation between motivation, foreign language speaking anxiety, and self-efficacy beliefs in this context? A mixed-methods research design used quantitative and qualitative data gathered from self-reflective questionnaires and forum discussions. The results reveal that learners with intrinsic motivation are more likely to complete the courses than those who sign up to manage a personal situation or advance in their career or studies. No direct correlation was, however, found between motivation and the other variables under scrutiny. Learners present higher self-efficacy beliefs at the end of the courses than at the beginning, while anxiety levels are affected to a much smaller degree by course completion. Although spoken interactions in this learning environment are not synchronous, apprehension and anxiety prevent many learners from fully participating in the speaking activities.


Religions ◽  
2021 ◽  
Vol 12 (6) ◽  
pp. 421
Author(s):  
Iwona Leonowicz-Bukała ◽  
Andrzej Adamski ◽  
Anna Jupowicz-Ginalska

This article presents the partial conclusion of the research project devoted to marketing activity of Polish Catholic opinion-forming weeklies on the social media platforms. The main aim of this article is to present the results of the study on the use of Twitter as a marketing tool by Polish nationwide Catholic opinion-forming weeklies. The basic research questions concerned the extent of utilizing the platform by the magazines’ editors to create and distribute the content of their media product, maintain and develop brand communication and self-promotion. The case studies and the content analysis of the accounts of the three magazines—Gość Niedzielny, Tygodnik Katolicki Niedziela and Przewodnik Katolicki—show that there are three different ways in how the editors of the magazines understand the role of the Twitter account of the title they represent—as an ‘active communicator’, ‘active communicator and community supporter’ or ‘community supporter’. The conclusions show that the studied media fairly efficiently use the visual and distributional potential of the platform as well as some of its features, at the same time missing the chance to build a brand-loyal community. They also limit the role of Twitter to that of a supplement for the main communication channel, which is the printed weekly and its website.


2021 ◽  
Vol 13 (7) ◽  
pp. 3858
Author(s):  
Francesca Abastante ◽  
Isabella M. Lami ◽  
Marika Gaballo

This paper is built on the following research questions: (i) What are the direct/indirect relationships between Sustainable Development Goal 11 (SDG11) and sustainability protocols? (ii) Could the sustainability protocols constitute a solution towards the achievement of SDG11? We underline that, on the one hand, the SDGs are guidelines to support the development of sustainable policies and thus address all elements that may affect them, and on the other hand, sustainability protocols are assessment tools to promote sustainability-conscious design while remaining focused on the built environment. In the Italian regulatory context, the paper highlights how this difference in terms of focus and scale means that they only overlap and mutually reinforce each other with regard to certain aspects, more related to energy and air pollution issues and less to the social aspects of sustainability. Even if there is not always a direct relationship between the evaluation criteria of the protocols and the indicators of SDG11, it is possible to conclude that the sustainability protocols can facilitate the achievement of the SDG11 targets, acting as a key for the implementation of sustainable cities and helping in structuring the process leading to sustainability in a broader framework.


2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Gwenaëlle G. Lemoine ◽  
Marie-Pier Scott-Boyer ◽  
Bathilde Ambroise ◽  
Olivier Périn ◽  
Arnaud Droit

Abstract Background Network-based analysis of gene expression through co-expression networks can be used to investigate modular relationships occurring between genes performing different biological functions. An extended description of each of the network modules is therefore a critical step to understand the underlying processes contributing to a disease or a phenotype. Biological integration, topology study and conditions comparison (e.g. wild vs mutant) are the main methods to do so, but to date no tool combines them all into a single pipeline. Results Here we present GWENA, a new R package that integrates gene co-expression network construction and whole characterization of the detected modules through gene set enrichment, phenotypic association, hub genes detection, topological metric computation, and differential co-expression. To demonstrate its performance, we applied GWENA on two skeletal muscle datasets from young and old patients of GTEx study. Remarkably, we prioritized a gene whose involvement was unknown in the muscle development and growth. Moreover, new insights on the variations in patterns of co-expression were identified. The known phenomena of connectivity loss associated with aging was found coupled to a global reorganization of the relationships leading to expression of known aging related functions. Conclusion GWENA is an R package available through Bioconductor (https://bioconductor.org/packages/release/bioc/html/GWENA.html) that has been developed to perform extended analysis of gene co-expression networks. Thanks to biological and topological information as well as differential co-expression, the package helps to dissect the role of genes relationships in diseases conditions or targeted phenotypes. GWENA goes beyond existing packages that perform co-expression analysis by including new tools to fully characterize modules, such as differential co-expression, additional enrichment databases, and network visualization.


The Lancet ◽  
2019 ◽  
Vol 394 ◽  
pp. S28
Author(s):  
Heather Brown ◽  
Luke Munford ◽  
Anna Wilding ◽  
Tomos Robinson ◽  
Paula Holland ◽  
...  

2011 ◽  
Vol 366 (1579) ◽  
pp. 2799-2805 ◽  
Author(s):  
John Clemens

Enteric infections are a major cause of morbidity and mortality in developing countries. To date, vaccines have played a limited role in public health efforts to control enteric infections. Licensed vaccines exist for cholera and typhoid, but these vaccines are used primarily for travellers; and there are two internationally licensed vaccines for rotavirus, but they are mainly used in affluent countries. The reasons that enteric vaccines are little used in developing countries are multiple, and certainly include financial and political constraints. Also important is the need for more cogent evidence on the performance of enteric vaccines in developing country populations. A partial inventory of research questions would include: (i) does the vaccine perform well in the most relevant settings? (ii) does the vaccine perform well in all epidemiologically relevant age groups? (iii) is there adequate evidence of vaccine safety once the vaccines have been deployed in developing countries? (iv) how effective is the vaccine when given in conjunction with non-vaccine cointerventions? (v) what is the level of vaccine protection against all relevant outcomes? and (vi) what is the expected population level of vaccine protection, including both direct and herd vaccine protective effects? Provision of evidence addressing these questions will help expand the use of enteric vaccines in developing countries.


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