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The reference models - Methods and material - iLand model complexity and its niche in the landscape of models

Tables 2-6 (structural complexity)

Table 2: Population dynamics - structure

modelprocess descriptionrelative complexity scoring
SORTIEspatially explicit (coordinates), individual-based, 3D structure (crown geometry) and individual competition for light, GLI (seasonally aggregated measure of photosynthetically active available radiation at the top of every crown)5
KiWispatially explicit (coordinates), field of neighborhood defines individuals competitve influence on others, additive competitive influence for an individual is averaged over zone of influence4
ForClimgap model structure, individual-based, within patch horizontally non-explicit, beer-lambert law for light availability of trees on patch4
3-PGmean tree approach2
BiomeBGCbig leaf approach1
LANDISspecies-age cohorts1.5
EDecosystem demography approach, 15x15m patch structure of independent patches, within patch horizontally non-explicit, size- and age structured approximation of the first moment of the stochastic gap model with partial differential equations4
FireBGCindividual tree succession model, individual trees simulated at plot level, competition at stand level, biogeochemistry at stand level4
LANDIS-IIspecies-age-biomass cohorts, competition via biomass-related growing space estimation2.5
PICUS3D gap model, individual-based, explicit horizontal and vertical spatial interactions between patches with regard to light availability (5m crown cells), homogeneous foliage biomass distribution within tree crown 4.5


Table 3: Population dynamics - composition

modelprocess descriptionrelative complexity scoring
SORTIEmultiple tree species, parameterized for central eastern US, Canada, other temperate, boreal and tropical forest regions5
KiWimultiple tree species, parameterized for Mangrove ecosystems5
ForClimmultiple tree species, parameterized for central Europe, PNW5
3-PGevenaged, monospecies stands, parameterized for different parts of the world1
BiomeBGCnot modeled explicitly; species parameters for different biomes1
LANDISmultiple tree species, parameterized for central eastern US, Canada, other temperate and boreal forest regions5
EDplant-functional types, different temperate and tropical ecosystems3
FireBGCmultiple tree species, parameterized for western US5
LANDIS IImultiple tree species, parameterized for central eastern US, Canada, other temperate and boreal forest regions5
PICUSmultiple tree species, parameterized for central Europe5


Table 4: Population dynamics - regeneration

modelprocess descriptionrelative complexity scoring
SORTIEseedling establishment probability based on distance from maternal tree4
KiWidepending on the competitive strength (field of neighborhood) from other individuals4
ForClimrecruitment (dbh=1.27), depending on light availability on the forest floor, browsing and winter minimum temperature4
3-PGnot modelled1
BiomeBGCnot modelled explicitly1
LANDISspatially explicit dispersal, establishment rate based on land-type related probability2
EDrandom dispersal, recruitment model3.5
FireBGCspatially explicit dispersal, recruitment model with temperature and drought index as thresholds, depending on seed availability4
LANDIS IIspatially explicit dispersal, establishment rate based on light availability (biomass), establishment probability (land type)2.5
PICUSseed production and distribution, germination, cohort regeneration model, recruitment into the individual-based model structure, influenced by light level on forest floor as well as climate and soil factors5


Table 5: Population dynamics - mortality

modelprocess descriptionrelative complexity scoring
SORTIEgrowth related (function of growth rate of the last 5 years), random component4.5
KiWistress-realted mortality based on diameter increment4
ForClimage- and stress-related mortality components4
3-PG-3/2 power law2
BiomeBGCnot modelled explicitly1
LANDISage effect1.5
EDage- and carbon balance driven components3.5
FireBGCrandom and stress (diameter increment) related components4
LANDIS IIcompetition-related crowding effect, age effect2.5
PICUSage- and stress-related mortality components, age-related mortality variable with site quality5


Table 6: Population dynamics - management

modelprocess descriptionrelative complexity scoring
SORTIEno management1
KiWino management1
ForClimno management1
3-PGreduction of stem number / leaf area2
BiomeBGCremoval of biomass from ecosystem pools2
LANDISspecies-age cohort1.5
EDno management1
FireBGCno management1
LANDIS IIspecies-age-biomass cohort, bottom up or top down removal of cohorts2.5
PICUSprescriptive on individual tree level, spatially explicit, implementation of adaptive management through script engine 5

Created by rupert. Last Modification: Monday 31 of May, 2010 02:55:38 CEST by rupert.