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» Simulated stem size distribution of forest type II (ridge forest 1900-2100 m asl) created by: Claudia Dislich (last update: 2009-07-03)

» Map of Reference Soil Groups (WRB) created by: Mareike Ließ (last update: 2010-09-13)

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Simulated stem size distribution of forest type II (ridge forest 1900-2100 m asl)

Dataset ID:	644
Last updated:	2009-07-03
Dataset creators:	Claudia Dislich
Contact:	Claudia Dislich
Temporal coverage:	2009-06-22 00:00:00 - 2009-06-22 00:00:00 - time zone: -5
Geographic coverage:	unbestimmt
Abstract:	--- Abstract:
Additional info:	--- Additional info:
Keywords:	\| FORMIND \| simulation model \| output \| stem size distribution \|
Intellectual rights:	FOR816 data user agreement

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Entity name:	Simulated stem size distribution forest type II
Entity type:	dataTable
Attributes:	Range of tree diameter (Tree_dbh_Range) (Unitless) Stemnumbers of all trees (Stemno_all) [counts per hectare] Stemnumbers of Plant functional type 1 (Stemno_PFT1) [counts per hectare] Stemnumbers of Plant functional type 2 (Stemno_PFT2) [counts per hectare] Stemnumbers of Plant functional type 3 (Stemno_PFT3) [counts per hectare] Stemnumbers of Plant functional type 4 (Stemno_PFT4) [counts per hectare] Stemnumbers of Plant functional type 5 (Stemno_PFT5) [counts per hectare] Stemnumbers of Plant functional type 6 (Stemno_PFT6) [counts per hectare] Stemnumbers of Plant functional type 7 (Stemno_PFT7) [counts per hectare]

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Map of Reference Soil Groups (WRB)

Dataset ID:	897
Last updated:	2010-09-13
Dataset creators:	Mareike Ließ
Contact:	Mareike Ließ
Temporal coverage:	2001-05-13 11:32:00 - 2001-05-13 11:32:00 - time zone: -5
Geographic coverage:	ECSF DEM 10m
Abstract:	Soil-landscape modelling is based on understanding... Abstract: Soil-landscape modelling is based on understanding the spatial distribution patterns of soil characteristics. A model relating the soil?s properties to its position within the landscape is used to predict soil properties in other similar landscape positions. To develop soil landscape models, the interaction of geographic information technology, advanced statistics and soil science is needed. The focus of this work is to predict the distribution of the different soil types in a tropical mountain forest area in southern Ecuador from relief and hydrological parameters using a classification tree model (CART) for soil regionalisation. Soils were sampled along transects from ridges towards side valley creeks using a sampling design with 24 relief units. Major soil types of the research area are Histosols associated with Stagnosols, Cambisols and Regosols. Umbrisols and Leptosols are present to a lesser degree. Stagnosols gain importance with increasing altitude and with decreasing slope angle. Umbrisols are to be found only on slopes <30°. Cambisols occurrence might be related to landslides. The CART model was established by a data set of 315 auger sampling points. Bedrock and relief curvature had no influence on model development. Applying the CART model to the research area, Histosols and Stagnosols were identified as dominant soil types. Model prediction left out Cambisols and overestimated Umbrisols, but showed a realistic prediction for Histosols, Stagnosols and Leptosols.
Additional info:	Number codes: 2= Histosol, 3=Leptosol,4= Regosol,... Additional info: Number codes: 2= Histosol, 3=Leptosol,4= Regosol, 5= Stagnosol,6= Umbrisol
Keywords:	\| soil characteristics \| soil classification \| output \| raster \|
Intellectual rights:	FOR816 data user agreement

Entity name:	soil type distribution
Entity type:	spatialRaster (598 x 507)
Attributes:	Soil type after "world reference base" (Soil_typeWRB) (Unitless)

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