Environmental changes in biodiversity hotspot ecosystems ofSouth Ecuador: RESPonse and feedback effECTs (FOR2730)

Platform data

Overview

41-50 of 626 datasets.

(Click on a dataset to jump to the detailed view)

» Prediction map of litterfall productivity created by: Christine Wallis (last update: 2017-09-03)

» Prediction map of ant species richness created by: Christine Wallis (last update: 2017-09-03)

» Prediction map of Pyraloidea species richness created by: Christine Wallis (last update: 2017-09-03)

» Tree inventory data dry forest created by: Jorge Luis Cueva Ortiz, Carlos Espinosa, Ellizabeth Guzman, Patrick Hildebrandt (last update: 2017-09-03)

» San Francisco tree leaf and stem traits created by: Jürgen Homeier (last update: 2017-08-30)

» Cajanuma tree leaf and stem traits created by: Jürgen Homeier (last update: 2017-08-30)

» Bombuscaro tree leaf and stem traits created by: Jürgen Homeier (last update: 2017-08-30)

» Prototype multifunctional land-use model Laipuna created by: Carola Paul, Thomas Knoke (last update: 2017-08-10)

» Photosynthesis dataset of Matayba_1271_shade (Tower Trees ECSF, lower platform), Date: 27/11/2015 created by: Simone Strobl, Susanne Spannl (last update: 2017-08-04)

» Photosynthesis dataset of Miconia_1269_shade (Tower Trees ECSF, lower platform), Date: 25/11/2015 created by: Simone Strobl, Susanne Spannl (last update: 2017-08-04)

Detailed view

Prediction map of litterfall productivity

view metadata

Dataset ID:	1656
Last updated:	2017-09-03
Dataset creators:	Christine Wallis
Contact:	Christine Wallis
Temporal coverage:	2016-11-03 - 2016-11-03
Geographic coverage:	South Ecuador
Abstract:	We modeled forest productivity parameters by remo... Abstract: We modeled forest productivity parameters by remote sensing metrics derived from a Landsat-8 image and four Aster elevation images in the mountain rainforest of Southern Ecuador. The validated model for annual litterfall accounted for 68 % in variation of productivity. The partial least square regression model has been predicted across the study area. Non-forest areas have been masked out (using the land cover classification of Göttlicher et al. (2009). Attention this is work in progress. For further information please contact.
Additional info:	--- Additional info:
Keywords:	\| model output \| litterfall \| remote sensing \| Partial least-square regression \| forest productivity \|

1. Entity:

Entity name:	AnnualLitterProductionEstMap
Entity type:	spatialRaster (1389 x 843)
Attributes:	Litterfall measured as dry matter weight (Litterfall) [Kilogram per hectare]

» back to overview

Prediction map of ant species richness

view metadata

Dataset ID:	1655
Last updated:	2017-09-03
Dataset creators:	Christine Wallis
Contact:	Christine Wallis
Temporal coverage:	2014-03-01 - 2014-12-20
Geographic coverage:	San francisco basin
Abstract:	The prediction map identifies the estimated richn... Abstract: The prediction map identifies the estimated richness of ant species in the mountain rainforest in the San Francisco Valley. The corresponding regression model explained 78% in variation of species richness. Further information about the model and sampled field data are published in Wallis et al. (2017): Remote sensing improves prediction of tropical montane species diversity but performance differs among taxa. doi: 10.1016/j.ecolind.2017.01.022
Additional info:	--- Additional info:
Keywords:	\| remote sensing \| species richness estimate \| Partial least-square regression \| ants \|

1. Entity:

Entity name:	Prediction map of estimated ant species richness
Entity type:	spatialRaster (701 x 693)
Attributes:	Species richness (specrich) [Count]

» back to overview

Prediction map of Pyraloidea species richness

view metadata

Dataset ID:	1654
Last updated:	2017-09-03
Dataset creators:	Christine Wallis
Contact:	Christine Wallis
Temporal coverage:	1999-01-01 - 2000-12-31
Geographic coverage:	San francisco basin
Abstract:	The prediction map identifies the estimated richn... Abstract: The prediction map identifies the estimated richness of Pyraloidea species in the mountain rainforest in the San Francisco Valley. The corresponding regression model explained 72% in variation of species richness. Further information about the model and sampled field data are published in Wallis et al. (2017): Remote sensing improves prediction of tropical montane species diversity but performance differs among taxa. doi: 10.1016/j.ecolind.2017.01.022
Additional info:	--- Additional info:
Keywords:	\| model output \| moths \| Pyraloidea \| remote sensing \| species richness \|

1. Entity:

Entity name:	Prediction map of estimated Pyraloidea species richness
Entity type:	spatialRaster (701 x 693)
Attributes:	Species richness (specrich) [Count]

» back to overview

Tree inventory data dry forest

view metadata

Dataset ID:	1653
Last updated:	2017-09-03
Dataset creators:	Jorge Luis Cueva Ortiz Carlos Espinosa Ellizabeth Guzman Patrick Hildebrandt
Contact:	Patrick Hildebrandt Jorge Luis Cueva Ortiz
Temporal coverage:	2016-06-02 - 2016-06-02
Geographic coverage:	Tree inventory Dry Forest
Abstract:	Tree inventory data (> 10cm; species richness, Sh... Abstract: Tree inventory data (> 10cm; species richness, Shannon indices, tree density) and coordinates of 72 inventory plots (60m x 60m) in the dry forest.
Additional info:	--- Additional info:
Keywords:	\| tree species richness \| dry forest \| tree density \| coordinates \|

1. Entity:

Entity name:	tree_inventory_dry_forest
Entity type:	dataTable
Attributes:	ID of the plot (PlotID) (Unitless) UTM x-coordinate (UTMCoordX) [Meter] UTM y-coordinate (UTMCoordY) [Meter] Type of vegetation (vegetation_type) (Unitless) Total number of species (N_Spec) [Unitless] Shannon index (Shannon) [Unitless] Total Number of trees (tree_n) [Count]

» back to overview

San Francisco tree leaf and stem traits

view metadata

Dataset ID:	1650
Last updated:	2017-08-30
Dataset creators:	Jürgen Homeier
Contact:	Jürgen Homeier
Temporal coverage:	2009-07-01 - 2016-12-31
Geographic coverage:	Investigation area ECSF
Abstract:	Tree functional traits (leaf area, specific leaf ... Abstract: Tree functional traits (leaf area, specific leaf area, foliar N, foliar P, leaf toughness, bark thickness, wood specific gravity, sapwood vessel density, sapwood vessel diameter, sapwood-specific conductivity) recorded in the montane forests of the San Francisco reserve.
Additional info:	--- Additional info:
Keywords:	\| San Francisco \| wood specific gravity \| foliar N \| foliar P \| quantitative wood anatomy \| species traits \| leaf properties \|

1. Entity:

Entity name:	San Francisco trees leaf and stem traits
Entity type:	dataTable
Attributes:	ID of the sample (SampleID) (Unitless) Site name (Site_name) (Unitless) ID of the plot (PlotID) (Unitless) elevation (El) [Meter] ID of the tree (TreeID) (Unitless) Family name (Family) (Unitless) Genus name (Genus) (Unitless) Tree species (Tree_species) (Unitless) Collection number (collection_no) (Unitless) Tree diameter in breast height (Tree_dbh) [Meter] Height of a tree (tree_height) [Meter] Tree bark thickness (bark_thickness) [Centimeter] Wood specific gravity (WSG) [Unitless] Leaf toughness (leaf_toughness) [force] leaf area (leaf_area) [Square centimeter] Specific leaf area (specific_leaf_area) [Square centimeters per gram] Foliar N concentration (leaf_N) [Milligram per gram] C/N ratio (CN_ratio) [Ratio] Foliar P concentration (leaf_P) [Milligram per gram] Mean sapwood vessel density (vessel_density) [density] Mean sapwood vessel diameter (vessel_diameter) [Micrometer] Sapwood-specific conductivity (sapwood_specific_conductivity) [conductivity]

» back to overview

Cajanuma tree leaf and stem traits

view metadata

Dataset ID:	1649
Last updated:	2017-08-30
Dataset creators:	Jürgen Homeier
Contact:	Jürgen Homeier
Temporal coverage:	2009-07-01 - 2016-12-31
Geographic coverage:	Cajanuma
Abstract:	Tree functional traits (leaf area, specific leaf ... Abstract: Tree functional traits (leaf area, specific leaf area, foliar N, foliar P, leaf toughness, bark thickness, wood specific gravity, sapwood vessel density, sapwood vessel diameter, sapwood-specific conductivity) recorded in the upper montane forests of the Podocarpus National Park (Cajanuma entrance).
Additional info:	--- Additional info:
Keywords:	\| Cajanuma \| wood specific gravity \| foliar N \| foliar P \| quantitative wood anatomy \| species traits \| leaf properties \|

1. Entity:

Entity name:	Cajanuma tree leaf and stem traits
Entity type:	dataTable
Attributes:	ID of the sample (SampleID) (Unitless) Site name (Site_name) (Unitless) ID of the plot (PlotID) (Unitless) elevation (El) [Meter] ID of the tree (TreeID) (Unitless) Family name (Family) (Unitless) Genus name (Genus) (Unitless) Tree species (Tree_species) (Unitless) Collection number (collection_no) (Unitless) Tree diameter in breast height (Tree_dbh) [Meter] Height of a tree (tree_height) [Meter] Tree bark thickness (bark_thickness) [Centimeter] Wood specific gravity (WSG) [Unitless] Leaf toughness (leaf_toughness) [force] leaf area (leaf_area) [Square centimeter] Specific leaf area (specific_leaf_area) [Square centimeters per gram] Foliar N concentration (leaf_N) [Milligram per gram] C/N ratio (CN_ratio) [Ratio] Foliar P concentration (leaf_P) [Milligram per gram] Mean sapwood vessel density (vessel_density) [density] Mean sapwood vessel diameter (vessel_diameter) [Micrometer] Sapwood-specific conductivity (sapwood_specific_conductivity) [conductivity]

» back to overview

Bombuscaro tree leaf and stem traits

view metadata

Dataset ID:	1648
Last updated:	2017-08-30
Dataset creators:	Jürgen Homeier
Contact:	Jürgen Homeier
Temporal coverage:	2009-07-01 - 2016-12-31
Geographic coverage:	Bombuscaro
Abstract:	Tree functional traits (leaf area, specific leaf ... Abstract: Tree functional traits (leaf area, specific leaf area, foliar N, foliar P, leaf toughness, bark thickness, wood specific gravity, sapwood vessel density, sapwood vessel diameter, sapwood-specific conductivity) recorded in the premontane forests of the Podocarpus National Park (Bombuscaro entrance).
Additional info:	--- Additional info:
Keywords:	\| Bombuscaro \| wood specific gravity \| foliar N \| foliar P \| quantitative wood anatomy \| species traits \| leaf properties \|

1. Entity:

Entity name:	Bombuscaro tree leaf and stem traits
Entity type:	dataTable
Attributes:	ID of the sample (SampleID) (Unitless) Site name (Site_name) (Unitless) ID of the plot (PlotID) (Unitless) elevation (El) [Meter] ID of the tree (TreeID) (Unitless) Family name (Family) (Unitless) Genus name (Genus) (Unitless) Tree species (Tree_species) (Unitless) Collection number (collection_no) (Unitless) Tree diameter in breast height (Tree_dbh) [Meter] Height of a tree (tree_height) [Meter] Tree bark thickness (bark_thickness) [Centimeter] Wood specific gravity (WSG) [Unitless] Leaf toughness (leaf_toughness) [force] leaf area (leaf_area) [Square centimeter] Specific leaf area (specific_leaf_area) [Square centimeters per gram] Foliar N concentration (leaf_N) [Milligram per gram] C/N ratio (CN_ratio) [Ratio] Foliar P concentration (leaf_P) [Milligram per gram] Mean sapwood vessel density (vessel_density) [density] Mean sapwood vessel diameter (vessel_diameter) [Micrometer] Sapwood-specific conductivity (sapwood_specific_conductivity) [conductivity]

» back to overview

Prototype multifunctional land-use model Laipuna

view metadata

Dataset ID:	1625
Last updated:	2017-08-10
Dataset creators:	Carola Paul Thomas Knoke
Contact:	Carola Paul
Temporal coverage:	2017-08-10 - 2017-08-10
Geographic coverage:	Laipuna
Abstract:	Robust multifunctional land-use model for derivin... Abstract: Robust multifunctional land-use model for deriving multifunctional landscapes
Additional info:	See README in data for additional information on ... Additional info: See README in data for additional information on methodology
Keywords:	\| land use \| Laipuna \| agriculture \| Economics \| carbon balance \| food production \|

1. Entity:

Entity name:	Prototype land-use model Laipuna
Entity info:	Robut land-use optimization approach to explore trade-offs between different ecosystem functions and find compromise solutions
Entity type:	otherEntity

» back to overview

Photosynthesis dataset of Matayba_1271_shade (Tower Trees ECSF, lower platform), Date: 27/11/2015

view metadata

Dataset ID:	1623
Last updated:	2017-08-04
Dataset creators:	Simone Strobl Susanne Spannl
Contact:	Susanne Spannl Erwin Beck Simone Strobl
Temporal coverage:	2015-11-27 18:38 - 2015-11-28 00:59
Geographic coverage:	San francisco basin
Abstract:	Abstract:
Additional info:	--- Additional info:
Keywords:	\| photosynthesis \|

1. Entity:

Entity name:	Photosynthesis dataset of Matayba_1271_shade (Tower Trees ECSF, lower platform), Date: 27/11/2015
Entity info:	Photosynthesis dataset of Matayba_1271_shade (Tower Trees ECSF, lower platform), Date: 27/11/2015
Entity type:	dataTable
Attributes:	Date and Time (datetime) (Unitless) Photosynthesis rate (PhotoRate) [Micrometer per square meter per second] Leaf Conductance (LeafCond) [Micromol per square meter per second] Leaf transpiration (LeafTrans) [Millimol per square meter per second] Vapor pressure deficit based on Leaf temp (VpdL) [Kilopascal] Leaf Temperature (temp_leaf) [Degrees Celsius] Relative humidity of the leaf sample, measured by porometry (relh_leaf) [Percent] Photosynthetic active radiation (PARi) [Photon per square meter per second] Photosynthetically active radiation (ParO) [Micromol per square meter per second] ID of the tree (TreeID) (Unitless) Tree species (Tree_species) (Unitless)

» back to overview

Photosynthesis dataset of Miconia_1269_shade (Tower Trees ECSF, lower platform), Date: 25/11/2015

view metadata

Dataset ID:	1622
Last updated:	2017-08-04
Dataset creators:	Simone Strobl Susanne Spannl
Contact:	Susanne Spannl Erwin Beck Simone Strobl
Temporal coverage:	2015-11-25 19:13 - 2015-11-26 00:58
Geographic coverage:	San francisco basin
Abstract:	Abstract:
Additional info:	--- Additional info:
Keywords:	\| photosynthesis \|

1. Entity:

Entity name:	Photosynthesis dataset of Miconia_1269_shade (Tower Trees ECSF, lower platform), Date: 25/11/2015
Entity info:	Photosynthesis dataset of Miconia_1269_shade (Tower Trees ECSF, lower platform), Date: 25/11/2015
Entity type:	dataTable
Attributes:	Date and Time (datetime) (Unitless) Photosynthesis rate (PhotoRate) [Micrometer per square meter per second] Leaf Conductance (LeafCond) [Micromol per square meter per second] Leaf transpiration (LeafTrans) [Millimol per square meter per second] Vapor pressure deficit based on Leaf temp (VpdL) [Kilopascal] Leaf Temperature (temp_leaf) [Degrees Celsius] Relative humidity of the leaf sample, measured by porometry (relh_leaf) [Percent] Photosynthetic active radiation (PARi) [Photon per square meter per second] Photosynthetically active radiation (ParO) [Micromol per square meter per second] ID of the tree (TreeID) (Unitless) Tree species (Tree_species) (Unitless)

» back to overview

Environmental changes in biodiversity hotspot ecosystems of
South Ecuador: RESPonse and feedback effECTs (FOR2730)

Platform data

Overview

Detailed view

Abstract:

Additional info:

Abstract:

Additional info:

Abstract:

Additional info:

Abstract:

Additional info:

Abstract:

Additional info:

Abstract:

Additional info:

Abstract:

Additional info:

Abstract:

Additional info:

Abstract:

Additional info:

Abstract:

Additional info:

Download

Please accept the following data user agreement for external data users:

Data Services

Quick search

Keywords

Latest datasets

Latest publications

Environmental changes in biodiversity hotspot ecosystems of South Ecuador: RESPonse and feedback effECTs (FOR2730)

Platform data

Overview

Detailed view

Abstract:

Additional info:

Abstract:

Additional info:

Abstract:

Additional info:

Abstract:

Additional info:

Abstract:

Additional info:

Abstract:

Additional info:

Abstract:

Additional info:

Abstract:

Additional info:

Abstract:

Additional info:

Abstract:

Additional info:

Download

Please accept the following data user agreement for external data users:

Data Services

Quick search

Keywords

Latest datasets

Latest publications

Environmental changes in biodiversity hotspot ecosystems of
South Ecuador: RESPonse and feedback effECTs (FOR2730)