Running, Steven W.

English

University of Montana

University of Montana ScholarWorks at University of Montana Syllabi Course Syllabi 1-2015 NRSM 532.01: Forest Ecosystem Analysis Steven W. Running University of Montana - Missoula, steven.running@umontana.edu Follow this and additional works at: https://scholarworks.umt.edu/syllabi Let us know how access to this document benefits you. Recommended Citation Running, Steven W., "NRSM 532.01: Forest Ecosystem Analysis" (2015). Syllabi. 3362. https://scholarworks.umt.edu/syllabi/3362 This Syllabus is brought to you for free and open access by the Course Syllabi at ScholarWorks at University of Montana. It has been accepted for inclusion in Syllabi by an authorized administrator of ScholarWorks at University of Montana. For more information, please contact scholarworks@mso.umt.edu.   SYSTEMS ECOLOGY MODEL LOGIC (NRSM 532, BIOS 534)  Spring 2015               Professor: Steven Running Teaching Asistant: Matt Jones x6706 SC 428, Phone: 243-6311 Text: Forest Ecosystems: Analysis at Multiple Scales (2007), by R.H.Waring and S.W.Running. DATE SESSION CH TOPIC 1/27 1 1 Ecosystem modeling principles 1/29 2 1 Space/time scaling principles 2/3 3 2 Climatology 1 2/5 4 3 Spatial Climatology2/10 5 7 Energy budgets 2/12 6 7 Comparing Ecosystem  Models 2/19 7 - CLASS MODEL SUMMARIES 2/24 8 2 Water Cycle 2/26 9 3 Carbon Cycle 1 3/3 10 3 Carbon Cycle 2 3/5 11 4 Nutrient Cycles 1 3/10 12 4 Nutrient Cycles 2 3/12 13 5 Succession models – stand development 3/17 14 5 Forest carbon credit models 3/19 15 6 Biotic Disturbances 3/24 16 6 Abiotic Disturbances 3/26 17 7 Regional scaling logic 3/31 Spring Break 4/1 Spring Break 4/7 18 CLASS MODEL ANALYSES 1 4/9 19 CLASS MODEL ANALYSES 2 4/14 20 7 Remote sensing principles 4/16 21 7 Landcover change 4/21 22 8 Regional biogeochemistry4/23 23 8 Vegetation – atmosphere models (GCM Land) 4/28 24 10 Fluxtower validation 4/30 25 9 Global carbon cycle 5/5 26 10 Climate Change projections 5/7 27 - Assessment models 5/12 28 FINAL PROJECTS 5/16 29 FINAL PROJECTS LEARNING GOALS AND OUTCOME Computer modeling is possibly the most common means of studying ecological systems, because one can never measure all relevant functions of a complex system. The learning outcome I desire is for each student to achieve an ability to analyze any new ecosystem model they might encounter for stated purpose, key assumptions, structural organization and logic, critical limitations and limits of applicability. Secondly I want each student to be able to evaluate                        whether their own research would be enhanced by modeling their ecosystem and where they might find a candidate model to start from. NRSM 532 CLASS PROJECTS CLASSWORK RESPONSIBILITIES (this is what your grade is based on) 1] DISCUSSION during class 2] 	First Model Summary Exercise.  I will help each of you choose an ecosystem model relevant to your own studies, and guide you to where the model is published. You will prepare a brief summary of the model using the ppt template I provide to give in class on Feb 19. We will then, as a class, evaluate each of these models for their conceptual basis, appropriate uses, keyassumptions, input requirements etc. 3] Detailed model analysis.  Next, I want each of you to choose a different model from your first, and do a more detailed analysis. I want you to choose a well-documented and widely-used ecosystem model and evaluate it carefully. Summarize the stated objective and purpose of the model, key assumptions, the domain of interest in time and space, necessary inputs, model structure, connections, flowchart, the most important outputs, testing and validation and finally examples of uses that have been published. I expect this report to be 5-10 pages long, with appropriate graphics showing the model, validation, references, science done with the model etc.  DUE: 7 April 4] Final project. To develop your own skills in systems analysis, I want each student to try a first conceptual layout of an ecosystem analysis problem of your choice, with objectives, assumptions, domain, logical flowchart, key cause-effect linkages and references. This class project will be the basis for our "final", as each student will present their project to the class verbally, and in written form to me. Remember from lecture 1 the general purposes of systems modeling: -	 to analyze the entire system holistically-	 to understand connections and causality-	 to organize field data -	 to prioritize future data collection -	  to generalize beyond the study site -	 investigate manipulations and perturbations -	  predict future system behavior    And seven steps to model development we looked at: 1. 	 Define the question 2. 	 Bound the question – model objective 3. 	 Develop a conceptual model 4. 	 Determine the equations that define the process 5. 	 Computer implementation and parameterization 6. 	 Model testing and implementation 7. Make conclusions DUE: Finals week (May 12-16) for class presentations, and a written report.                                   Examples of Systems Ecology MODELS for NRSM 532/BIOS 534 Each of these models has a history of journal publications, validation, testing, open source code and documentation. Stand Level models Biome-BGC – multi scale ecosystem biogeochemical cycles http://www.ntsg.umt.edu/project/biome-bgcFIRE BGC – a version of Biome-BGC that incorporates fire disturbance and successional processes FVS-BGC and TREE-BGC – forest inventory driven hybrid models Century and DAYCENT – a grassland biogeochemical cycling model http://www.nrel.colostate.edu/projects/century/ED – a forest model of stand demographicshttp://www.oeb.harvard.edu/faculty/moorcroft/data_sets/ed_2.1/ TEM – a terrestrial ecosystem model of biogeochemical dynamics http://ecosystems.mbl.edu/tem/DLEM – dynamic land ecosystem model https://fp.auburn.edu/sfws/esra/models/models_dlem.htmStandCarb – forest carbon budget http://andrewsforest.oregonstate.edu/pubs/webdocs/models/standcarb2/intro.htmWatershed - Regional level models RHESSYS – a regional scale hydro-ecological simulation that routes streamflow http://fiesta.bren.ucsb.edu/~rhessys/VIC – a hydrologic and water management model http://www.hydro.washington.edu/Lettenmaier/Models/VIC/ HEC-RAS – watershed management model MOD 17 – satellite data driven calculation of terrestrial plant production http://www.ntsg.umt.edu/project/mod173PGS – a simple satellite driven physiologically based model of forest growth Ecopath and Ecosim – aquatic ecosystem and fish management model http://ecopath.org/CERES Wheat - Wheat crop growth and yield modelhttp://nowlin.css.msu.edu/wheat_book/                                 Global models NCAR CLM – a land biophysical process model that works in a GCM https://www2.cesm.ucar.edu/working-groups/lmwgIBIS – Integrated Biosphere Simulator in a GCM http://www.sage.wisc.edu/download/IBIS/ibis.html Orchidee – a DGVM http://labex.ipsl.fr/orchidee/LPJ – a dynamic global biome and vegetation model http://www.nateko.lu.se/lpj-guess/education/MC1 and MAPSS – ecosystem biogeography model from Oregon State Ecosystem service – socioeconomic models Invest – an ecosystem services model for water, carbon, and biodiversity http://www.naturalcapitalproject.org/models/models.html2052 – a global socio-economic model http://www.2052.info/MAGICC – a global integrated assessment model http://www.cgd.ucar.edu/cas/wigley/magicc/IGSM - MIT IGSM Integrated Global Assessment Model http://globalchange.mit.edu/research/IGSMDICE – Dynamic Integrated Model of Climate and Economics, Nordhaus http://www.econ.yale.edu/~nordhaus/homepage/dicemodels.htmIMAGE Global integrated assessment model http://themasites.pbl.nl/tridion/en/themasites/image/FUND Climate Framework for Uncertainty, Negotiation and Distribution (FUND) is a so-called integrated assessment model of climate change. http://www.fund-model.org/PAGE EPIC – agricultural crop model There are many, many others, feel free to suggest one you are interested in. 

NRSM 532.01: Forest Ecosystem Analysis

https://scholarworks.umt.edu/cgi/viewcontent.cgi?article=4363&amp;context=syllabi

NRSM 532.01: Forest Ecosystem Analysis

Abstract

Similar works

Full text

Available Versions

University of Montana