Quick Review: Scale Theories. Characteristic Scales: Example.

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Presentation transcript:

Quick Review: Scale Theories

Characteristic Scales: Example

Hierarchy theory: example Spatial scale Temporal scale Landscape Stand Gap Stand Mechanisms Gap Constraints/ boundaries physiography soil parent materal landscape position tree physiology root respiration annual productivity Stand Dynamics: Tree diameters Spp Composition Objective: predict forest stand dynamics over 100 years

Hierarchy Theory: Example soil nutrients succession Living and Dead Biomass Disturbances CLIMATE and GEOLOGY productivity decomposition competi -tion

Hierarchy Theory: Assignment For Tuesday, February 1 Create your own diagram of a system based on hiearchy theory. your diagrams to me by monday, January NOON. Send as either a PowerPoint file or as a *.jpg file. I will randomly choose diagrams to discuss. Be prepared to describe your system and your diagram. If you are not randomly chosen, you will be next time! Be creative! Feel free to diagram political, social, aquatic, terrestrial, systems. Don’t copy my examples.

Abiotic constraints to landscape pattern and processes Lecture 4 January 27, 2005

Pattern and Process landscape pattern non-spatial processes scale landscape processes

Pattern and Process If a process is NOT a function of pattern, then it is a non-spatial process. = If a process is a function of pattern, then it is a spatial, or landscape process. ≠

Landscape Processes Landscape Processes are sensitive to landscape pattern because they include the lateral transfer of information, energy, or matter. Information Energy Matter

Landscape Processes If there are no landscape/spatial processes, landscape configuration DOES NOT MATTER. Other examples of Landscape Processes?

Pattern and Process landscape pattern non-spatial processes landscape processes Abiotic Constraints Level of Focus for this class What are the components (explanation)? - Biology - Human activity - Disturbance

From Urban et al Pedogenisis Climate Characteristic Scales of Abiotic Constraints Landform

Abiotic Constraints on Landscape Pattern and Function Climate = long term or prevailing weather affecting the distribution of energy and water in a region Temperature Moisture Landform = geomorphic features affecting physical relief and soil development

Abiotic Constraints: Climate Climate Definitions Climate Regime: composite, long-term weather patterns of a region. Weather: Finer temporal scale changes in temperature, precip, e.g., daily fluctuations Microclimate: Finer spatial scale differences in temperature and precip, e.g., N and S sides of hill

Climate controls several large scale processes: Hydrologic cycle Landforms and erosion cycles Plant/animal life cycles and distributions Fire and wind disturbance regimes From Bailey 1998

Climate and the Hydrologic Cycle Actual Evapotranspiration (AET) is the quantity of water that is actually removed from a surface due to evaporation and transpiration. Potential Evapotranspiration (AET) is the maximum water removal possible (w/o control). PET >> AET.

Climate and the Biota Curtis 1959: Climate and the Wisconsin tension zone

Climate and the Biota Long-term climate change and species distributions Distributions of biota have changed due to Milankovich cycles – which appear to be related to glacial/interglacial periods. In response, biota may evolve and speciate, migrate, or go extinct. Ecotones have shifted drastically in response to long- term climate change, but species respond individualistically, not as communities.

Climate and Disturbance Direct (Weather): Wind Speed Wind Duration Lightening Strikes Overland flow Flood magnitude Flood duration Indirect: Fuel Quantity Fuel Moisture

Abiotic Constraints: Landform Next level down in hierarchy of constraints. Modifies and is modified by climate. Provide the template for disturbance and biotic responses. Landform

Landforms affect water movement and concentration, and soil development differences. Topography and gravitational movement of water, and evapotranspiration create a toposequence or catena of soils. Landforms and Geomorphology Erosion rates vary with rock type and climate: enough moisture for soil development and vegetative cover?

Abiotic Constraints: Landform and Climate Interactions Landform and climate interact at all scales (continental to landscape to site). Elevation, aspect, and surface texture interrupt air masses and influence energy input from sunlight, and precipitation and nutrient inputs.

From Bailey 1998 Example: Greater insolation on south slopes causes warmer sites, greater evapotranspiration. Landform and Climate Interactions

Example Robert Whittaker (1952, 1953) sampled vegetation across a range of montane habitats, spanning elevation and aspect differences. Found that species responded individualistically to changing environment. But communities could be discerned within environmental space defined by elevational and aspect gradients. Landform, Climate, and Biota

From Whittaker 1956

An extension of landform and climate interactions Below large scale geomorphology or landform levels. Landscape position has been shown to be important in causing pattern in many different systems, including systems with relatively little relief. Abiotic Constraints: Landscape Position climate and landform landscape position

Landscape Position and Hydrology Example: Position of lakes in the northern Wisconsin Low (Landscape Position) High Specific Conductance Northern Lakes, Wisconsin (Kratz et al. 1991)

Landscape Position and Disturbance Landforms interact with climate and increase or decrease susceptibility to disturbance. Examples: Hill slopes may shelter or expose forests to windthrow. The greater vulnerability of ridges to fire ignition. Wetlands and lakes in the Boundary Waters Canoe Area that serve as barriers to fire spread.

Abiotic Confounding Factors Direct inferences between the abiotic template and landscape patterns are not always obvious! Environmental gradients are correlated and do not always change in concert. For example, temperature and precipitation may be inversely correlated in mountains. Physical factors all vary across scales and have their own unique variability across scales. Landforms Microclimate Weather Decadal Climate Spatial scale Temporal scale CoarseFine Long Short Glacial Climate

Abiotic Confounding Factors Direct inferences between the abiotic template and landscape patterns are not always obvious! Biotic responses to physical factors are not always predictable due to differential rates of establishment, growth, mortality. Interactions such as competition may confound the relationships. Disturbance may alter biotic composition.