macrosystems ecology
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2021 ◽  
Vol 11 (8) ◽  
pp. 382
Author(s):  
Alexandria G. Hounshell ◽  
Kaitlin J. Farrell ◽  
Cayelan C. Carey

Ecologists are increasingly using macrosystems approaches to understand population, community, and ecosystem dynamics across interconnected spatial and temporal scales. Consequently, integrating macrosystems skills, including simulation modeling and sensor data analysis, into undergraduate and graduate curricula is needed to train future environmental biologists. Through the Macrosystems EDDIE (Environmental Data-Driven Inquiry and Exploration) program, we developed four teaching modules to introduce macrosystems ecology to ecology and biology students. Modules combine high-frequency sensor data from GLEON (Global Lake Ecological Observatory Network) and NEON (National Ecological Observatory Network) sites with ecosystem simulation models. Pre- and post-module assessments of 319 students across 24 classrooms indicate that hands-on, inquiry-based modules increase students’ understanding of macrosystems ecology, including complex processes that occur across multiple spatial and temporal scales. Following module use, students were more likely to correctly define macrosystems concepts, interpret complex data visualizations and apply macrosystems approaches in new contexts. In addition, there was an increase in student’s self-perceived proficiency and confidence using both long-term and high-frequency data; key macrosystems ecology techniques. Our results suggest that integrating short (1–3 h) macrosystems activities into ecology courses can improve students’ ability to interpret complex and non-linear ecological processes. In addition, our study serves as one of the first documented instances for directly incorporating concepts in macrosystems ecology into undergraduate and graduate ecology and biology curricula.


2019 ◽  
Vol 50 (1) ◽  
pp. 261-278 ◽  
Author(s):  
Beth A. Reinke ◽  
David A.W. Miller ◽  
Fredric J. Janzen

Long-term studies have been crucial to the advancement of population biology, especially our understanding of population dynamics. We argue that this progress arises from three key characteristics of long-term research. First, long-term data are necessary to observe the heterogeneity that drives most population processes. Second, long-term studies often inherently lead to novel insights. Finally, long-term field studies can serve as model systems for population biology, allowing for theory and methods to be tested under well-characterized conditions. We illustrate these ideas in three long-term field systems that have made outsized contributions to our understanding of population ecology, evolution, and conservation biology. We then highlight three emerging areas to which long-term field studies are well positioned to contribute in the future: ecological forecasting, genomics, and macrosystems ecology. Overcoming the obstacles associated with maintaining long-term studies requires continued emphasis on recognizing the benefits of such studies to ensure that long-term research continues to have a substantial impact on elucidating population biology.


2016 ◽  
Vol 20 (2) ◽  
pp. 147-157 ◽  
Author(s):  
Kevin C. Rose ◽  
Rose A. Graves ◽  
Winslow D. Hansen ◽  
Brian J. Harvey ◽  
Jiangxiao Qiu ◽  
...  

2014 ◽  
Vol 12 (1) ◽  
pp. 5-14 ◽  
Author(s):  
James B Heffernan ◽  
Patricia A Soranno ◽  
Michael J Angilletta ◽  
Lauren B Buckley ◽  
Daniel S Gruner ◽  
...  

2014 ◽  
Vol 12 (1) ◽  
pp. 3-3 ◽  
Author(s):  
Patricia A Soranno ◽  
David S Schimel

2014 ◽  
Vol 12 (1) ◽  
pp. 24-30 ◽  
Author(s):  
Janine Rüegg ◽  
Corinna Gries ◽  
Ben Bond-Lamberty ◽  
Gabriel J Bowen ◽  
Benjamin S Felzer ◽  
...  

2014 ◽  
Vol 12 (1) ◽  
pp. 48-58 ◽  
Author(s):  
Kevin E McCluney ◽  
N LeRoy Poff ◽  
Margaret A Palmer ◽  
James H Thorp ◽  
Geoffrey C Poole ◽  
...  

2014 ◽  
Vol 12 (1) ◽  
pp. 15-23 ◽  
Author(s):  
Ofir Levy ◽  
Becky A Ball ◽  
Ben Bond-Lamberty ◽  
Kendra S Cheruvelil ◽  
Andrew O Finley ◽  
...  

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