Platform data

climate stations fog

Datasets collected by subproject: B4 How abiotic drivers and trait diversity shape herbivory and other biotic processes with consequences for ecosystem functions across mountain ecosystems..
  1. 1

Overview

1-1 of 1 datasets.

(Click for the detailed view)



Detailed view

Tree canopy herbivory and leaf traits at the 1000 m, 2000 m, and 3000 m 1 ha forest core plots in the mountain rainforest of southern Ecuador
Dataset ID: 1992
Last updated: 2023-10-17
Dataset creators: Jana Schoen
Contact: Jana Schoen
Temporal coverage: 2019-02-06 00:00:00 - 2019-03-28 00:00:00 - time zone: Europe/Berlin
Geographic coverage: South Ecuador
Abstract: Herbivory estimated as leaf area loss [cm^2] and [...
Additional info: This dataset is a joined work of the RESPECT subpr...
Keywords: | San Francisco | Bombuscaro | Cajanuma | nitrogen | phosphorus | calcium | potassium | magnesium | manganese | mountain rainforest | herbivory | core plots | iron | sulfur | Specific leaf area | foliar nutrients | morphological traits | leaf functional traits |
DOI: 10.5678/4y6q-be29
Intellectual rights: FOR816 data user agreement (see menu: Documents and Services -> general information -> data use agreement)
Entity name: tree_canopy_herbivory_vs_leaf_traits_mountain_rainforest-(BO_SF_CA)
Entity info: Leaves for herbivory (leaf area loss) and leaf trait measurements were collected in February and March 2019 from 380 tree canopies belonging to 51 species located in the nine 1 ha forest core plots at 1000, 2000, and 3000 m
Entity type:dataTable
Attributes:
ID of the tree (TreeID) (Unitless)
ID of the plot (PlotID) (Unitless)
Elevation in meter (elevation) [Meter]
Botanical order (order) (Unitless)
Family name (Family) (Unitless)
Genus name (Genus) (Unitless)
Botanical epithet (epithet) (Unitless)
Species name (Species) (Unitless)
Leaf dry matter content (dry_matter_content) [Milligram per gram]
Leaf thickness (leaf_thickness) [Millimeter]
Leaf toughness (leaf_toughness) [force]
Foliar C concentration (leaf_C) [Milligram per gram]
Foliar Mg concentration (leaf_Mg) [Milligram per gram]
Specific leaf area (specific_leaf_area) [Square centimeters per gram]
Foliar N concentration (leaf_N) [Milligram per gram]
Foliar P concentration (leaf_P) [Milligram per gram]
Foliar Al concentration (leaf_Al) [Milligram per gram]
Foliar Ca concentration (leaf_Ca) [Milligram per gram]
Foliar Fe concentration (leaf_Fe) [Milligram per gram]
Foliar K concentration (leaf_K) [Milligram per gram]
Foliar Mn concentration (leaf_Mn) [Milligram per gram]
Foliar S concentration (leaf_S) [Milligram per gram]
Diameter at breast height (DBH) [Meter]
Total leaf area (total_leaf_area) [Square centimeter]
Number of leaves (LeaveNo) [Count]
Leaf area loss in cm2 (herbivory_cm2) [Square centimeter]
Leaf area loss in percent (herbivory_percent) [Percent]
normalized difference nitrogen index (NDNI) [Unitless]
foliar oil content (D1040) [Unitless]
foliar lignin, starch, protein, and nitrogen content (D1690) [Unitless]
foliar lignin content (D1420) [Unitless]
foliar cellulose and sugar content (D1490) [Unitless]
foliar contents of phenolic compounds like tannins (D1660) [Unitless]
foliar contents of phenolic compound (D1460) [Unitless]
foliar lignin content (D1120) [Unitless]
leaf water vegetation index 1 (LWVI_1) [Unitless]
leaf water vegetation index 2 (LWVI_2) [Unitless]
water band index (WBI) [Unitless]
foliar water and starch content (D970) [Unitless]
foliar water, cellulose, starch, and lignin content (D1200) [Unitless]
foliar water content (D1400) [Unitless]
foliar cadmium content (D1240) [Unitless]


  1. 1


Quick search

  • Publications:
  • Datasets:

rnse logo

Radar Network Ecuador - Peru