Modelling Ecosystem Structure and Energy Flow in a First Year Environmental Biology Practical: Not a Complete Waste of Energy

The modelling of energy flow through ecosystems is conceptually difficult, and has been shown to be complicated to teach, at both the secondary and tertiary levels. Endeavours to integrate such modelling into a first year environmental biology curriculum are thus likely to pose considerable challenges. This paper reports on efforts to quantitatively model energy flow through a simplified, paper-based ecosystem in a first year environmental biology unit. In addition to curriculum-related objectives, the broader aims of the initiative were to enable students to apply concepts and processes introduced in lectures and readings, enhance learning through collaboration and discussion about energy flow and ecosystem trophic structure, and develop student skills in oral or visual communication. Although some aspects of the project, such as collaborative learning and class presentations, were moderately successful, student deficiencies in quantitative skills, together with the simplistic nature of the ‘paper ecosystem’ meant that numerical analyses were complex and subjectively made. One misconception was that a complex ecosystem, conveniently divided into trophic categories, could be simplified in terms of energy flow from source to sink. Following revision and the inclusion of more structured guidelines, the project was reintroduced to the biology program. The revised project was more successful in terms of student consistency and accuracy in modelling energy flow and also with regard to their overall satisfaction with the project. Nevertheless, after considerable deliberation, it was decided that a hands-on, field-based project would provide a more true-to-life experience in the context of the first year environmental biology curriculum.

[1]  Robert H. Tai,et al.  The Two High-School Pillars Supporting College Science , 2007, Science.

[2]  Chen‐Yung Lin,et al.  Students' understanding of energy flow and matter cycling in the context of the food chain, photosynthesis, and respiration , 2003 .

[3]  Migdalisel Colon-Berlingeri,et al.  Teaching Biology through Statistics: Application of Statistical Methods in Genetics and Zoology Courses , 2011, CBE life sciences education.

[4]  Raymond Goulder,et al.  The Value of Fieldwork in Life and Environmental Sciences in the Context of Higher Education: A Case Study in Learning About Biodiversity , 2012 .

[5]  A. Janetos A New Biology for the 21st Century , 2009 .

[6]  Natasha de Vere,et al.  Research-based Residential Fieldwork Learning: Double Bonus? , 2010 .

[7]  Jay B. Labov,et al.  Integrated Biology and Undergraduate Science Education: A New Biology Education for the Twenty-First Century? , 2010, CBE life sciences education.

[8]  Anneke M Metz,et al.  Teaching statistics in biology: using inquiry-based learning to strengthen understanding of statistical analysis in biology laboratory courses. , 2008, CBE life sciences education.

[9]  J. Griffin Learning about Learning and Teaching: "You don't learn in there, you play" , 2008 .

[10]  Billie Eilam System thinking and feeding relations: learning with a live ecosystem model , 2012 .

[11]  L. S. Vygotksy Mind in society: the development of higher psychological processes , 1978 .

[12]  Gavin Brown,et al.  Review of Education in Mathematics, Data Science and Quantitative Disciplines: Report to the Group of Eight Universities. , 2009 .

[13]  D. Flynn,et al.  Integrating Active Learning & Quantitative Skills into Undergraduate Introductory Biology Curricula , 2011 .

[14]  Charles W. Anderson,et al.  Student Reasoning Related to Matter and Energy Flow through Ecosystems: Lessons from Diagnostic Question Clusters , 2009 .

[15]  Pat Marsteller Beyond BIO2010: Integrating Biology and Mathematics: Collaborations, Challenges, and Opportunities , 2010, CBE life sciences education.

[16]  J. Stratford,et al.  Student perceptions of a virtual field trip to replace a real field trip , 2001, J. Comput. Assist. Learn..

[17]  T. J. Aston Energy flow through a paper ecosystem , 1988 .

[18]  Louis J. Gross Points of View The Interface of Mathematics and Biology , 2004 .