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Conceptual model A descriptive model or diagram that shows the key - PDF document

Conceptual model A descriptive model or diagram that shows the key elements in the system of interest and the hypothesized relationships between them. CONCEPTUAL MODEL Research Planning Workshop Why make a conceptual model? Basic


  1. Conceptual model  A descriptive model or diagram that shows the key elements in the system of interest and the hypothesized relationships between them. CONCEPTUAL MODEL Research Planning Workshop Why make a conceptual model? Basic components of a system  Clarifies what is known and not known about the system.  Goes beyond simple cause and effect to explore linkages and feedbacks in complex systems  Key for:  Developing research hypotheses  Identifying variables to study  Interpreting research results  Essential for integrated interdisciplinary research Examples of Conceptual Feedback loop Models Negative (self-regulating) Positive (self-reinforcing) feedback loop feedback loop Herders Plant move Biomass - less + + + No. of Increased Increased Grazers out of season trespassing + grazing As grazers consume & reduce Herders move less due to lack of plant biomass, there is less regulation and access to food for the grazers and their transportation, leading to population declines, releasing increased out of season grazing, grazing pressure and allowing which leads to increased grazing biomass to accumulate. of reserve pastures. Mobility declines as herders stay in one place to protect pasture rights.

  2. Conceptual system model : Fire in the North Population growth Fork of the Cache la Poudre watershed intensifies increases Provide forest products degrades Water quality Land Use degrades Recreation Insects & diseases provides ? increases degrades increases increases Scenic Beauty FIRE Fuel loads decreases influes H ? e r releases b i disturbes i increases e r v o decreases n c d r r e u c i e a Policy e s s e influes s p Drought r o v i d e s Nitrogen o r f d e Invasive species d i provides v o r Understory p Wildlife habitats compete with provides space/light & age structure d increases e c r e a s Drivers of the system e s p r o v i d e s Key ecosystem services used and valued by people s p a c e / l i g h t Key aspects that change in Native response to these modifiers Biodiversity Bare ground species Ecological elements of the system Guiding Questions for Conceptual Creating a Conceptual Model Model 1. What are the boundaries of the system?  Start with a broad conception of the “system”—you can narrow your focus for on-the-ground actions later  Identify the focus question or statement that addresses the issue or situation you wish to map  Example: Does CBNRM increase resilience to climate change in rural Mongolia? Guiding Questions 2 Guiding Questions 3 2. What are the ecological elements of the 3. What are the system processes and system (i.e. biological and physical modifiers? components)?  Examples:  Examples: rivers & streams, wildlife  Natural processes: seasonal and livestock populations, soils, plant flooding, grazing, wildlife migration communities  Human-induced processes: development & fragmentation, cultivation, hunting, water impoundment & release

  3. Guiding Questions 4 Guiding Questions 5 4. What are key aspects of the system that 5. What are key processes that act as change in response to these processes? “drivers” of the system?  Examples: species composition,  Examples: climate/weather, pasture production, silt levels in river human population change, policy or economic change Guiding Questions 6 Try it! 6. What are the key ecosystem  Write notes on your guiding questions services and resources used by and  Transfer key elements, processes, resources, of concern to people in the area? etc to post-it notes  Arrange post-its on paper and draw lines to  Examples: forage, water, show relationships among them medicinal plants, sacred places  Rearrange, discuss, be creative! Think About It Identify Uncertainties  Can you identify any feedback loops in your  Which system relationships are well model? understood?  Are they negative (regulating) or positive  Which system relationships are more of a (reinforcing) feedbacks? guess?  Are some relationships in your model more  What are the assumptions in your model? important than others? Why? How can you represent these strong interactions?  What are some uncertainties about future conditions that may affect the system?

  4. Report Out on Model Developing Research Questions,  What are the known relationships? Hypotheses & Data Statements  What are the unknown or uncertain relationships?  Can these be phrased as research questions?  Hypotheses? Example Brainstorm Research Questions Weather Ecological Herder zone  Look at your model and write a list of wealth # of animals questions based on the relationships depicted between elements in the model. Pasture production & Access to species composition Distance & transportation frequency of movement Nomadic culture Frequency & duration of Land Policy grazing & rest Research question 1: What factors are the best predictors of herder movements? Research question 2: How does herder movement affect pasture conditions in different ecological zones? Others??? Independent & Dependent Develop a Hypothesis Variables  Remember, a good hypothesis:  The factors you will measure to test your hypothesis  Identifies the important variables  A dependent variable is the outcome  Independent (explanatory) variable that is affected in the experiment  Dependent (outcome) or study.  Is testable and falsifiable  An independent variable is the  Is short and clear explanatory variable that causes the effect. In an experiment, it is the variable that you change.

  5. Example Testable and Falsifiable  Hypothesis: Adding fertilizer will  You can disprove or reject the hypothesis by performing an experiment, or collecting data in increase hay yield . an observational study.  Fertilizer is the independent variable  Example:  Hay yield is the dependent variable  Hypothesis: Adding fertilizer will increase hay yield.  We have a uniform hay field divided into treatment plots, and add fertilizer to 10 randomly selected plots, leaving 10 plots untreated.  If yield does not increase in the treated plots, our hypothesis is rejected. 2 Kinds of Experiments 1. Manipulative Experiments:  Change one thing, while holding all the rest constant (the same).  Example: In an ungrazed area, build fenced paddocks, and compare the diversity of species under no grazing to species diversity under low, medium, and high grazing. 2 Kinds of Experiments Experimental Design  Treatments are randomly allocated 2. Observational Studies:  Replication:  Not really an experiment, because the  Each treatment is applied to 3 or more researcher cannot control the system. experimental units.  Example: Measure species diversity in  Controls: pastures under the forbidden grazing  Treated areas are compared to non-treated “control” areas. program and diversity in pastures not in  Before & after measurements: the program.  All experimental units are measured before the treatments are applied, as well as afterwards.

  6. Example Weather Ecological Herder zone wealth # of animals Pasture production & Access to species composition Distance & transportation frequency of movement Nomadic culture Frequency & duration of Land Policy grazing & rest Hypothesis 1: Wealthy herders move farther and more often than poor herders. What is the dependent variable? What is the independent variable? Is this hypothesis testable? How would you test it? What other hypotheses does this model suggest? Try it! Data statements  Use your model to develop 3 testable  A data statement is a description of the hypotheses. specific information you need to gather in order to evaluate whether your hypothesis is  Identify the dependent and independent true or not. variables.  This statement should be a specific as  How would you test your hypotheses? possible.  How will you measure the dependent and independent variables in your hypothesis? Example Example  Hypothesis: Wealthy herders move farther  Hypothesis: Wealthy herders move farther and more often than poor herders. and more often than poor herders.  Independent variable = wealth.  Dependent variable 1= total distance moved over the past 3 years.  Data statement: Wealth will be determined by participatory wealth ranking of all herders in  Data statement: Distance moved will be the study bag by at least 3 different herders of determined by surveying herders in randomly varying wealth levels and genders. selected households, and will be based on herders’ recollections of where and how far they moved.

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