Faculty Opinions recommendation of Seasonality in the strength and spatial scale of processes determining intertidal barnacle population growth.

Author(s):  
Steven Sait ◽  
Arne Schroder
2021 ◽  
pp. 205301962110358
Author(s):  
Jason Phillips

This paper conducts an initial determination and evaluation of the fundamental dynamic influences and interactions upon indicated levels and nature of sustainability occurring, at the global spatial scale over the specified period of 2006–2016. This is achieved by the first full application of the Sustainability Dynamics Framework (SDF) to the results of the Sustainable Society Index (SSI). The results indicate that obtained S-values are potentially influenced primarily by a triumvirate of influencing factors – Population Growth, GDP and Greenhouse Gases. A cumulative analysis of indicator categories indicated that Environmental Wellbeing was the dominant influencing category upon obtained S-values for the period 2008–2014, and Anthropospheric Wellbeing was the dominant influence in 2006 and 2016. The analysis concludes that the triumvirate has potentially caused fundamental breaches and dynamic impacts and feedbacks upon the global environment-human relationship and system. Unless the triumvirate is managed and mitigated urgently, then there is a potential realistic risk of unsustainability occurring.


Author(s):  
Odo Diekmann ◽  
Hans Heesterbeek ◽  
Tom Britton

This chapter focuses on the influence of the demography on the persistence of an infective agent, and vice versa on the influence of the agent on host population growth and persistence. When new “fuel” is provided through the replacement of immune individuals by newborn susceptibles, the infective agent may strike again at a later time or even persist and become endemic. Whether we observe repeated outbreaks or relatively small fluctuations around a steady endemic level depends on the temporal and spatial scale that we, as investigators of the system, choose to monitor and/or to model. The chapter also suggests that two parameters, rather than just one, are needed to distinguish between a single outbreak (which may reoccur much later by reintroduction of the agent from the outside) and the endemic situation.


2010 ◽  
Vol 79 (6) ◽  
pp. 1270-1279 ◽  
Author(s):  
Keiichi Fukaya ◽  
Takehiro Okuda ◽  
Masahiro Nakaoka ◽  
Masakazu Hori ◽  
Takashi Noda

2019 ◽  
Vol 6 (1) ◽  
pp. 37-72
Author(s):  
Ulaş Sunata ◽  
Dila Ergül

39 ilçesiyle Türkiye’nin en büyük nüfusuna sahip ili İstanbul aynı zamanda Türkiye’nin en çok iç göç alan şehridir. Özellikle kırdan kente göç bağlamında sosyo-ekonomik ve demografik özellikleriyle birçok araştırmaya konu olmuştur. Fakat İstanbul yerleşik nüfusunun Türkiye’nin diğer şehirlerine kayıtlı olma yoğunluğu da önemlidir. Bu çalışmanın amacı 2012 ve 2017 yıllarındaki nüfus değişimini göz önünde bulundurarak İstanbul ilçelerinin ayrıntılı nüfus yoğunluğu ve büyüme analizini yapmak, ilgili faktörleri değerlendirmek, hemşehri ağlarını okumak adına yerleşik nüfus kütük bilgileri bakımından inceleyerek elde edilen örüntüler doğrultusunda ilçe tipolojileri oluşturmaktır. Çalışmanın birinci bölümünde ilgili beş yıllık nüfus değişimlerine göre İstanbul ilçe nüfusları analiz edilmiştir. Ardından her bir ilçe için nüfusa kayıtlı olunan kente göre nüfus büyüme hızlarına bakılarak ilçelerin ağırlıklı olarak barındırdığı hemşehri ağları belirlenmiştir. İkinci bölümde ise ilçeler nüfus değişim özelliklerine göre belirli kategorilere ayrılmış ve bu kategoriler doğrultusunda ilçe tipolojileri oluşturulmuştur..ABSTRACT IN ENGLISHA District Level Analysis of Istanbul’s Population Change (2012-2017)Istanbul having the largest population of Turkey with its 39 districts is the most internal-migrant-receiving city in Turkey. Particularly in the context of rural-to-urban migration, Istanbul has been became a subject of various researches with its socio-economic and demographic features. However, the density of Istanbul’s settled population who registered other cities of Turkey is important. The main aim of this study is to analyse population growth of all districts considering the population change between 2012 and 2017, to evaluate the related factors and to develop a district typology by using the data of settled population according to their family registration in the name of reading the current countryman networks. In the first section of the study, district populations of Istanbul are examined regarding the related five-year change. Afterwards, most repeated countryman networks of all Istanbul’s districts are specified regarding the population growth rate of the registered cities. In the latter section of the study, districts were divided into categories regarding the specific population change features which help to create district typology.


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