1 landscape modeling efforts for n-biocomplexity program amit chakraborty & bai-lian li...
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Landscape modeling effortsfor N-Biocomplexity program
Amit Chakraborty
&
Bai-Lian Li
University of California, Riverside
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SPATIAL TRANSITION MODEL OF VEGETATION CHANGES
Spatial dynamics Temporal dynamics
Spatial interactions between individual plants
Resource supply and transport
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Rules of Automaton
MECHANISMS OR PROCESSES
Automaton without interference
Automaton under species invasion
Automaton after fire-disturbance
AUTOMATON
Resource-mediated competition
Resource-based invasion mechanism
Fire-induced successional processes
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Resource-mediated Indirect Competition
Huston M.A. and DeAngelis D.L. (1994) Competition and coexistence: the effectsof resource transport and supply. The American Naturalist 144: 954-977
(k)
7Huston M.A. and DeAngelis D.L. (1994) Competition and coexistence: the effects
of resource transport and supply. The American Naturalist 144: 954-977
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Low rate of resource input
Constant transport rate
Low rate of resource inputCompetitive equilibrium
Overlapping depletion zone
Non-overlapping depletion zone
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Which plant will occupy the overlapping zone?
The plant has lowest resource concentration in its non-overlapping depletion zone will occupy an overlapping zone at equilibrium by depleting the resource concentration to its lowest.
What plant trait confers the competitive superiority?
1. Higher resource capture efficiency; defined by a ratio of resource concentrationin rooting zone per unit volume and resource uptake from rooting zone per unitvolume.
2. Lower resource concentration in non-overlapping rooting zone
3. Less access to overlapping zone within the neighborhood of interactions.
Above three are the measure of competitive superiority and it confers the variation of R* at equilibrium
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Overlappingdepletion
zone
Overlappingdepletion
zone
Overlappingdepletion
zone
Overlappingdepletion
zone
Overlappingdepletion
zone
Higher resource capture efficiency
lower resource concentration in non-overlapping rooting zone
Less access to overlapping zone within the neighborhood of interactions
Non-overlappingdepletion zone
Non-overlappingdepletion zone
Non-overlappingdepletion zone
Non-overlappingdepletion zone
Non-overlappingdepletion zone
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Resource-based invasion mechanism
Invasive plant trait
Nativeplant trait
Lowerthreshold
Upperthreshold
Range of variation of resource input rate
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Relative physiological characters of an invasive species
1. Higher maximal seeds production
2. Lower resource requirement for seeds production
3. Lower mortality rate
The invasive species is not necessarily to be a best resource competitor
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Limit to coexisting plant species
Spatially homogenous competitive environment is one in which species’ competitive ranking do not change within the spatialextent of the landscape being considered
In this environment species spatially coexist because of competition-colonization trade-off; an appropriate species trait allows spatial coexistence of several plant species.
The resource input rate defines the limit to the number of that coexistingplant species.
A deterministic formula calculate that number; followingparameter values are required :a) resource input rate b) resource transport rate c) habitatresource concentration d) resource requirement of individual speciese) maximal rate of seeds production f) resource concentration at which the seeds production is half the maximum
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Fire-induced successional processesHighest level: general causes of succession
Intermediate level: Contributing processes or conditions
Site availability
Differential species availability
Differential species performance
Fire-disturbance
Seeds pool
Germination, establishment
Stochastic environmental stress
Competition
Lower level: Defining factors
Resource level
Temperature
Site history
Colonization
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Effects of fire and definition of resource-based neighborhood
Post-fire habitat
Pre-fire habitat
Burnedarea
Burn nbd.
Semi-burnnbd.
unburnnbd.
The site specific neighborhood center at ‘x’ is defined as a physical space in which resource level is constant.
x
x
‘Burn neighborhood centered at ‘x’’ is completely empty.
‘Semi-burn neighborhood centered at ‘x’’ consists of some occupied sites and some empty sites and the center ‘x’ is empty. ‘Unburn neighborhood centered at ‘x’’ does not contain any fire affected sites and have an individual occupy the center ‘x’
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Simulation scheme
Temperature
Seeds pool before fire
Colonization
Germination
Establishment
Competition-colonization tradeoff
R*-rule
Species ranking basedon time of germination
Post-fire vegetation pattern
Early SuccessionEarly Succession Late SuccessionLate Succession
Semi-burn
Agent
Unburn-Agent
Burn-Agent
Germination
Establishment
Individual-basedmodel with Moore’s
neighborhood where state transition calculated by
discrete-time Markov chain
Natural vegetation dynamics
Colonization rate
Resource utilization
rate
Temperature
Available seeds pool
Species rank based on resource requirement
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Simulation Steps…
Step-1:Classify post-fire habitat based on the definition of site-specific neighborhood
Step-2: Creating three agents corresponding three different nbd.
Step-3: The ‘burn agent’ locates all burn neighborhoods and the ‘semi-burn agent’ locates all semi-burn neighborhoods in the post-fire habitat. The ‘burn agent’ and ‘semi-burn agent’ act till the early successional individual at target-cell is replaced by late successional individual.
Step-4: The ‘unburn agent’ controls natural vegetation dynamics in the portion of the habitat which is not fire affected.
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Information needed
Spatial Non-spatial
Habitat information
Total number of species in the habitat. It depends on pre-fire habitat history.
Life-span of each species.
Colonization rate of each species.
Life-time N-consumption of each species
Post-fire soil temperature
Post-fire N level
Pre-fire vegetation pattern
Post-fire vegetation pattern
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Advantages……
1. The model includes post-fire successional processes, i.e. process based.
2. The model is relatively simple and easy to run because less number of data are needed to get series of vegetation patterns correspond to different successional stages.
3. The model has predictable potentiality.
4. The model could be used to determine grassland or shrubland conditions by defining successional indices.