scholarly journals Climate change in arid lands and Native American socioeconomic vulnerability: The case of the Pyramid Lake Paiute Tribe

Author(s):  
Mahesh R. Gautam ◽  
Karletta Chief ◽  
William J. Smith
2013 ◽  
Vol 120 (3) ◽  
pp. 585-599 ◽  
Author(s):  
Mahesh R. Gautam ◽  
Karletta Chief ◽  
William J. Smith

Apidologie ◽  
2017 ◽  
Vol 48 (6) ◽  
pp. 784-794 ◽  
Author(s):  
Tereza C. Giannini ◽  
Camila Maia-Silva ◽  
Andre L. Acosta ◽  
Rodolfo Jaffé ◽  
Airton T. Carvalho ◽  
...  

2018 ◽  
Vol 11 (1) ◽  
pp. 113-125 ◽  
Author(s):  
Scott E. Kalafatis ◽  
Julie C. Libarkin ◽  
Kyle Powys Whyte ◽  
Chris Caldwell

Abstract Engagements between climate scientists and communities feature challenges but are also essential for successfully preparing for climate change. This is particularly true for indigenous peoples who are proactively responding to the threats that climate change poses by engaging in collaborations with climate decision-support organizations. The potential for risks and rewards associated with engagements like these makes developing tools for comprehensively, consistently, and equitably assessing cross-cultural climate collaborations a critical challenge. This paper describes a multicultural team’s efforts to develop a survey that can assess collaborations between Native American tribes in the United States and climate science organizations. In the process, the developing survey’s oscillations between acting as a boundary object and acting as an epistemic object in the project revealed common ground as well as existing differences across the cultural, disciplinary, and professional divides involved. Delphi expert elicitation was shown to be an effective approach for negotiating a cross-cultural research effort like this one because of its ability to establish consensus while delineating gaps. This experience highlights that assessing cross-cultural climate collaborations requires that both researchers and the tools that they use have the capacity to identify both common ground and distinctions between climate scientists and the communities with which they collaborate.


2019 ◽  
Vol 11 (3) ◽  
pp. 681-694
Author(s):  
Scott E. Kalafatis ◽  
Jasmine Neosh ◽  
Julie C. Libarkin ◽  
Kyle Powys Whyte ◽  
Chris Caldwell

Abstract Climate scientists are increasingly called upon to collaborate with policy makers to develop climate science–informed policy decisions. However, there are concerns that existing professional and cultural boundaries will remain persistent barriers to fulfilling the potential promise of these collaborations. The perception that scientists will be learning by doing while pursuing these efforts does little to assuage these concerns because more research is needed into how scientists actually learn to collaborate more effectively. Using interviews with 18 individuals identified by their peers as particularly successful participants in collaborations between Native American Tribes and climate science organizations, this paper offers suggested practices and examines learning processes underlying the development of these suggestions. The development of the list of suggested practices highlights the extent to which having the right attitude, taking the right actions, and cultivating the right processes are intertwined factors associated with success in these collaborations. Analysis of the learning processes underlying interviewees’ suggestions for suggested practices offered five sources of information that frequently led interviewees to reflect on their experiences and gain new knowledge from them. Despite these common trends, each interviewee described a reflection system that they had cultivated to continually monitor and enhance their work in collaborations that was personalized and distinctive from those the other interviewees used. Increased attention to these tailored reflection systems offers a path forward for understanding how experiential learning can most effectively enhance climate change decision support.


2018 ◽  
Vol 11 (1) ◽  
pp. 1-14 ◽  
Author(s):  
Yang Yu ◽  
Yuanyue Pi ◽  
Xiang Yu ◽  
Zhijie Ta ◽  
Lingxiao Sun ◽  
...  

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