scholarly journals Geospatial datasets in support of high-resolution spatial assessment of population vulnerability to climate change in Nepal

Data in Brief ◽  
2017 ◽  
Vol 12 ◽  
pp. 459-462 ◽  
Author(s):  
Janardan Mainali ◽  
Narcisa G. Pricope
The Holocene ◽  
2020 ◽  
Vol 30 (11) ◽  
pp. 1643-1648 ◽  
Author(s):  
Peter N Peregrine

The Late Antique Little Ice Age, spanning the period from 536 CE to roughly 560 CE, saw temperatures in the Northern Hemisphere drop by a degree C in less than a decade. This rapid cooling is thought to have caused widespread famine, epidemic disease, and social disruption. The relationship between cooling and social disruption is examined here using a set of high-resolution climate and historical data. A significant link between cooling and social disruption is demonstrated, but it is also demonstrated that the link is highly variable, with some societies experiencing dramatic cooling changing very little, and others experiencing only slight cooling changing dramatically. This points to variation in vulnerability, and serves to establish the Late Antique Little Ice Age as a context within which naturalistic quasi-experiments on vulnerability to climate change might be conducted.


2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Hsiang-Yu Tsai ◽  
Dustin R. Rubenstein ◽  
Yu-Meng Fan ◽  
Tzu-Neng Yuan ◽  
Bo-Fei Chen ◽  
...  

2011 ◽  
Vol 18 (2) ◽  
pp. 480-492 ◽  
Author(s):  
Mark C. Drever ◽  
Robert G. Clark ◽  
Chris Derksen ◽  
Stuart M. Slattery ◽  
Peter Toose ◽  
...  

2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Hsiang-Yu Tsai ◽  
Dustin R. Rubenstein ◽  
Yu-Meng Fan ◽  
Tzu-Neng Yuan ◽  
Bo-Fei Chen ◽  
...  

2021 ◽  
Vol 288 (1957) ◽  
pp. 20210727
Author(s):  
M. C. Bitter ◽  
J. M. Wong ◽  
H. G. Dam ◽  
S. C. Donelan ◽  
C. D. Kenkel ◽  
...  

A formidable challenge for global change biologists is to predict how natural populations will respond to the emergence of conditions not observed at present, termed novel climates. Popular approaches to predict population vulnerability are based on the expected degree of novelty relative to the amplitude of historical climate fluctuations experienced by a population. Here, we argue that predictions focused on amplitude may be inaccurate because they ignore the predictability of environmental fluctuations in driving patterns of evolution and responses to climate change. To address this disconnect, we review major findings of evolutionary theory demonstrating the conditions under which phenotypic plasticity is likely to evolve in natural populations, and how plasticity decreases population vulnerability to novel environments. We outline key criteria that experimental studies should aim for to effectively test theoretical predictions, while controlling for the degree of climate novelty. We show that such targeted tests of evolutionary theory are rare, with marine systems being overall underrepresented in this venture despite exhibiting unique opportunities to test theory. We conclude that with more robust experimental designs that manipulate both the amplitude and predictability of fluctuations, while controlling for the degree of novelty, we may better predict population vulnerability to climate change.


2017 ◽  
Author(s):  
Janine Rice ◽  
Tim Bardsley ◽  
Pete Gomben ◽  
Dustin Bambrough ◽  
Stacey Weems ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document