Identification

Title

Tropical forest seedling trait data collected in Danum Valley, Sabah, Malaysia, in February 2020

Abstract

This dataset includes values of 15 traits (total dry mass; root length to shoot length ratio; leaf mass fraction; root mass fraction; shoot mass fraction; leaf thickness; leaf force to punch; leaf area to shoot area ratio; leaf concentrations of N, P, K, Ca and Mg; leaf N: P concentration ratio; specific maximum root length) measured in February 2020 on 394 seedlings of 15 woody plant species growing in logged in the Ulu Segama Forest Reserve or unlogged forest in the Danum Valley Conservation Area, Malaysia. The purpose of this data collection was to determine whether the expression of plant functional traits differed between tree seedlings recruited into logged and unlogged forests. This information is important for understanding the drivers of variation in seedling growth and survival in response to logging disturbance, and to uncover the mechanisms giving rise to differentiation in tree seedling composition in response to logging. These data were collected as part of NERC project “Seeing the fruit for the trees in Borneo: responding to an unpredictable community-level fruiting event” (NE/T006560/1). Full details about this dataset can be found at https://doi.org/10.5285/e738e8af-554a-4940-bb56-267c7377d74d

Resource type

dataset

Resource locator

https://data-package.ceh.ac.uk/data/e738e8af-554a-4940-bb56-267c7377d74d

description: Download a copy of this data

function: download

https://data-package.ceh.ac.uk/sd/e738e8af-554a-4940-bb56-267c7377d74d.zip

description: Supporting information available to assist in re-use of this dataset

function: information

Unique resource identifier

code

https://catalogue.ceh.ac.uk/id/e738e8af-554a-4940-bb56-267c7377d74d

codeSpace

doi:

Dataset language

eng

Spatial reference system

code identifying the spatial reference system

Classification of spatial data and services

Topic category

farming

Keywords

Geographic location

West bounding longitude

86.484

East bounding longitude

128.672

North bounding latitude

14.814

South bounding latitude

-23.244

Temporal reference

Temporal extent

Begin position

2020-02-01

End position

2020-02-29

Dataset reference date

date type

publication

effective date

2022-10-12

Frequency of update

Quality and validity

Lineage

Trait data were collected by direct sampling of seedlings adjacent to 75, 1 m2 seedling plots (46 in unlogged primary forest; 26 in logged forest). The length of the longest root and shoot length were measured using a ruler and shoot diameter was measured just below the first branch using precision callipers. Shoot diameter was converted into shoot cross-sectional area based on the assumption that all shoots were circular. To calculate leaf area, all leaves were scanned using a flatbed scanner (CanoScan LiDE 120, Canon Inc., Tokyo, Japan) and analysed using ImageJ software in the R package LeafArea (Katabuchi, 2015). Leaf thickness was measured on three leaves, where available, using precision callipers avoiding any major veins and a mean was calculated. Leaf force to punch was measured at three points on the leaf using a Chantillon DFXII Digital Force Gauge with a 1 mm2 flat head rod (AMETEK Sensors, New York, USA) and the mean was calculated. Leaves, shoots and roots were air-dried before being transferred to the Forest Research Centre, Sepilok, where they were dried to constant weight in an oven at 50 degC before being weighed. Leaf mass fraction and root mass fraction were calculated by dividing dry leaf and dry root mass by total dry mass, respectively. Leaf mass area was calculated by dividing dry leaf mass by leaf area. Leaf area to shoot area ratio was calculated by dividing leaf area by the cross-sectional area of the shoot, root length to shoot length ratio by dividing root length by shoot length and specific maximum root length by dividing maximum root length by dry root mass. The leaves of the sampled seedlings were combined with additional sample material from the same plot before being analysed for foliar nutrient concentrations at the Forest Research Centre, Sepilok. Leaves were ground using a SM2000 Heavy-duty Cutting Mill (Retsch, Haan, Germany) to pass through a 100-mesh (212 μm) sieve. The ground material was digested using a hydrogen peroxide-sulfuric acid digestion (Allen, 1989). Nleaf and Pleaf were measured colorimetrically using an Astoria-Pacific Flow Analyzer (Astoria-Pacific, OR, USA). Caleaf, Kleaf and Mgleaf were measured spectrometrically using a SpectroArcos FHX22 (Spectro Analytical Instruments, Kleve, Germany). A subsample of the leaves was dried at 105 degC to constant weight to calculate the percentage moisture content and to correct laboratory analyses to an oven dry basis. N:P was calculated by dividing Nleaf by Pleaf.

Conformity

Conformity report

specification

title

Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services

organisation name

email address

d.burslem@abdn.ac.uk

web address

https://orcid.org/0000-0001-6033-0990

description: ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers.

function: information