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

Dataset ID:	1666
Last updated:	2017-09-27
Dataset creators:	Andre Velescu
Contact:	Wolfgang Wilcke Andre Velescu
Temporal coverage:	2007-08-04 00:00:00 - 2016-12-25 00:00:00
Geographic coverage:	Numex plots San Francisco
Abstract:	Fortnightly time series of measured electrical co... Abstract: Fortnightly time series of measured electrical conductivity and pH values in litter leachate at NUMEX San Francisco. The fortnightly time series extends between August 2007 and December 2016. Litter leachate was sampled on the 20 NUMEX plots with zero-tension lysimeters below the organic layer. On each plot 3 replicates were collected, volume-weighted and bulked to one sample per plot. Electrical conductivity and pH values were measured immediately in unfiltered aliquots in the laboratory of the ECSF.
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Keywords:	\| electric conductivity \| NUMEX \| San Francisco \| pH values \| litter leachate \|

1. Entity:

Entity name:	numex_sf_litter_leachate_ph_ec_v1
Entity type:	dataTable
Attributes:	Date and Time (datetime) (Unitless) ID of the sample (SampleID) (Unitless) ID of the plot (PlotID) (Unitless) Treatment of the plot (PlotTreat) (Unitless) Electrical conductivity measured in lysimeter (ECw_ly) [Microsiemens per centimeter] PH measured in lysimeter (PHw_ly) [Unitless]

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Fortnightly element concentrations in throughfall at NUMEX San Francisco between 2007-2013

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Dataset ID:	1664
Last updated:	2017-09-27
Dataset creators:	Andre Velescu
Contact:	Wolfgang Wilcke Andre Velescu
Temporal coverage:	2007-08-03 00:00:00 - 2013-03-23 00:00:00
Geographic coverage:	Numex plots San Francisco
Abstract:	Fortnightly time series of measured concentration... Abstract: Fortnightly time series of measured concentrations of Cl, PO4-P, Total P, NH4-N, NO3-N, Total N, K, Na, Mg, Ca and Total organic C in throughfall at NUMEX San Francisco. The fortnightly time series extends between August 2007 and March 2013. Throughfall was sampled on the 20 NUMEX plots with Hellmann-type collectors. On each plot 20 replicates were collected, volume-weighted and bulked to one sample per plot. Samples were immediately filtered (4-7 µm) in the laboratory of the ECSF and stored at -20 °C until transport in frozen state to Germany or to Switzerland for concentration measurements.
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Keywords:	\| throughfall \| NUMEX \| San Francisco \| nitrate \| ammonium \| chloride \| calcium \| potassium \| magnesium \| sodium \| element concentrations \| total nitrogen \| phosphate \| total phosphorus \| total organic carbon \|

1. Entity:

Entity name:	numex_sf_throughfall_chemistry_v1
Entity info:	Throughfall chemistry of NUMEX San Francisco 2007-2013
Entity type:	dataTable
Attributes:	Date and Time (datetime) (Unitless) ID of the sample (SampleID) (Unitless) ID of the plot (PlotID) (Unitless) Treatment of the plot (PlotTreat) (Unitless) Chloride measured in throughfall (Clw_pcpt) [Milligram per liter] Ortho-phosphate (reactive phosphorus) measured in throughfall (PO4w_pcpt) [Milligram of phosphorus per liter] Total phosphorus measured in throughfall (Ptotw_pcpt) [Milligram of phosphorus per liter] Ammonium measured in throughfall (NH4w_pcpt) [Milligram of nitrogen per liter] Nitrate measured in throughfall (NO3w_pcpt) [Milligram of nitrogen per liter] Total nitrogen measured in throughfall (Ntotw_pcpt) [Milligram of nitrogen per liter] Potassium measured in throughfall (Kw_pcpt) [Milligram per liter] Sodium measured in throughfall (Naw_pcpt) [Milligram per liter] Magnesium measured in throughfall (Mgw_pcpt) [Milligram per liter] Calcium measured in throughfall (Caw_pcpt) [Milligram per liter] Dissolved organic carbon measured in throughfall (DOCw_pcpt) [Milligram per liter]

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Fortnightly time series of electrical conductivity and pH in throughfall at NUMEX San Francisco between 2007-2016

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Dataset ID:	1663
Last updated:	2017-09-27
Dataset creators:	Andre Velescu
Contact:	Wolfgang Wilcke Andre Velescu
Temporal coverage:	2007-08-03 00:00:00 - 2013-03-23 00:00:00
Geographic coverage:	Numex plots San Francisco
Abstract:	Fortnightly time series of measured electrical co... Abstract: Fortnightly time series of measured electrical conductivity and pH values in throughfall at NUMEX San Francisco. The fortnightly time series extends between August 2007 and December 2016. Throughfall was sampled on the 20 NUMEX plots with Hellmann-type collectors. On each plot 20 replicates were collected, volume-weighted and bulked to one sample per plot. Electrical conductivity and pH values were measured immediately in unfiltered aliquots in the laboratory of the ECSF.
Additional info:	--- Additional info:
Keywords:	\| electric conductivity \| throughfall \| NUMEX \| San Francisco \| pH values \| time series \|

1. Entity:

Entity name:	numex_sf_throughfall_ph_ec_v1
Entity info:	pH and EC in throughfall at NUMEX San Francisco 2007-2013
Entity type:	dataTable
Attributes:	Date and Time (datetime) (Unitless) ID of the sample (SampleID) (Unitless) ID of the plot (PlotID) (Unitless) Treatment of the plot (PlotTreat) (Unitless) Electrical conductivity measured in throughfall (ECw_pcpt) [Microsiemens per centimeter] PH measured in throughfall (pHw_pcpt) [Unitless]

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Fortnightly throughfall water fluxes at NUMEX San Francisco between 2007-2016

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Dataset ID:	1662
Last updated:	2017-09-26
Dataset creators:	Andre Velescu
Contact:	Wolfgang Wilcke Andre Velescu
Temporal coverage:	2007-08-03 00:00:00 - 2016-12-24 00:00:00
Geographic coverage:	Numex plots San Francisco
Abstract:	Fortnightly time series of throughfall fluxes fro... Abstract: Fortnightly time series of throughfall fluxes from NUMEX San Francisco. Throughfall was measured the 20 plots of NUMEX San Francisco with 20 Hellmann-type collectors on each plot. The fortnightly time series extends between August 2007 and December 2016.
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Keywords:	\| throughfall \| NUMEX \| San Francisco \|

1. Entity:

Entity name:	numex_sf_throughfall_water_fluxes_v1
Entity info:	Throughfall water fluxes at NUMEX San Francisco 2007-2016
Entity type:	dataTable
Attributes:	Date and Time (datetime) (Unitless) ID of the plot (PlotID) (Unitless) Treatment of the plot (PlotTreat) (Unitless) Precipitation throughfall (PCPt) [Millimeter]

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Woody species regeneration on pasture, fern and shrub sites

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Dataset ID:	1658
Last updated:	2017-09-04
Dataset creators:	Ximena Palomeque Nikolay Aguirre Sven Günter Patrick Hildebrandt Michael Weber
Contact:	Patrick Hildebrandt
Temporal coverage:	2003-07-01 00:00:00 - 2007-07-01 00:00:00
Geographic coverage:	ECSF pasture
Abstract:	Monitoring of woody species regeneration was done... Abstract: Monitoring of woody species regeneration was done in 2003, 2005 and 2007 on 48 subplots of 116 m2 on pasture, fern, and shrub sites. Half of the subsamples were randomly selected and manually treated by cutting back all competing herbaceous species with a machete every 4 months from 2003 to 2005. Competing species refers to dominant, exotic and aggressive species such as grasses (S. sphacelata) in the Pasture site, and exotic fern (P. arachnoideum) in the Bracken and Shrub sites, woody native species were not removed.
Additional info:	Palomeque, X.; Günter, S.; Siddons, D.; Hildebran... Additional info: Palomeque, X.; Günter, S.; Siddons, D.; Hildebrandt, P.; Stimm, B.; Aguirre, N.; Arias, R. & Weber, M. (2017): Natural or assisted succession as approach of forest recovery on abandoned lands with different land use history in the Andes of Southern Ecuador. New Forests 1(1), 1-10 DOI: http://dx.doi.org/10.1007/s11056-017-9590-8.
Keywords:	\| pasture \| succession \| abandoned pasture \| species richness \| abundance \| tree regeneration \| bracken fern \|

1. Entity:

Entity name:	natural_or_assisted_succession
Entity type:	dataTable
Attributes:	Date and Time (datetime) (Unitless) Site name (Site_name) (Unitless) ID of the plot (PlotID) (Unitless) UTM x-coordinate (UTMCoordX) [Meter] UTM y-coordinate (UTMCoordY) [Meter] elevation (El) [Meter] Treatment (treatment) (Unitless) Species name (Species) (Unitless) Family name (Family) (Unitless) Life form (LifeForm) (Unitless) Abundance (abundance) (Unitless)

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Prediction map of litterfall productivity

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Dataset ID:	1656
Last updated:	2017-09-03
Dataset creators:	Christine Wallis
Contact:	Christine Wallis
Temporal coverage:	2016-11-03 00:00:00 - 2016-11-03 00:00:00
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]

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Prediction map of ant species richness

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Dataset ID:	1655
Last updated:	2017-09-03
Dataset creators:	Christine Wallis
Contact:	Christine Wallis
Temporal coverage:	2014-03-01 00:00:00 - 2014-12-20 00:00:00
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]

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Prediction map of Pyraloidea species richness

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Dataset ID:	1654
Last updated:	2017-09-03
Dataset creators:	Christine Wallis
Contact:	Christine Wallis
Temporal coverage:	1999-01-01 00:00:00 - 2000-12-31 00:00:00
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]

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Tree inventory data dry forest

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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 00:00:00 - 2016-06-02 00:00:00
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.
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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]

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San Francisco tree leaf and stem traits

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Dataset ID:	1650
Last updated:	2017-08-30
Dataset creators:	Jürgen Homeier
Contact:	Jürgen Homeier
Temporal coverage:	2009-07-01 00:00:00 - 2016-12-31 00:00:00
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.
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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]

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

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

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