Identification

Title

Traits data from juvenile trees exposed to a 50% reduction in canopy throughfall at the Caxiuan drought experiment, Brazil, 2017

Abstract

A data set consisting of seventeen functional traits collected on 43 saplings from a Control and 33 saplings from a long-term drought experiment site in a tropical rainforest in NE Amazonia, Brazil. The experiment was designed to exclude 50% of the incoming rainfall to the soil and was conducted over a 1ha area, alongside the experiment there is a control (non- drought plot) of a corresponding size. The samples were collected in 2017, fifteen years after the start of the experiment on trees with a diameter at breast height (1.3m) of 1-10cm. The purpose of the dataset was to assess if traits relating to plant metabolism (photosynthesis and respiration) and plant hydraulic processes had been significantly altered in trees growing under drought conditions. Full details about this dataset can be found at https://doi.org/10.5285/ca147ac9-ac68-4348-b5f0-dcd483ef3a85

Resource type

dataset

Resource locator

https://data-package.ceh.ac.uk/data/ca147ac9-ac68-4348-b5f0-dcd483ef3a85

name: Download the data

description: Download a copy of this data

function: download

https://data-package.ceh.ac.uk/sd/ca147ac9-ac68-4348-b5f0-dcd483ef3a85.zip

name: Supporting information

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

function: information

Unique resource identifier

code

https://catalogue.ceh.ac.uk/id/ca147ac9-ac68-4348-b5f0-dcd483ef3a85

codeSpace

doi:

Dataset language

eng

Spatial reference system

code identifying the spatial reference system

Classification of spatial data and services

Topic category

biota

Keywords

Keyword set

keyword value

Environmental Monitoring Facilities

originating controlled vocabulary

title

GEMET - INSPIRE themes, version 1.0

reference date

date type

publication

effective date

2008-06-01

Keyword set

keyword value

Drought

Tropical Forest

Plant hydraulics

Leaf respiration

Photosynthesis

Through-fall exclusion experiment

Geographic location

West bounding longitude

-51.264

East bounding longitude

-51.086

North bounding latitude

-1.324

South bounding latitude

-1.462

Temporal reference

Temporal extent

Begin position

2017-09-01

End position

2017-10-31

Dataset reference date

date type

publication

effective date

2023-01-10

Frequency of update

Quality and validity

Lineage

The data was from August to September (dry season) in 2017. In total twenty species from nine genera were sampled, with replication at genera level on the drought and control plot. For each individual, we collected two branches from the top of the crown, representing the point maximally exposed to light and the 17 traits were measured off these two branches. The quality control processes were trait specific and the related papers detail how this was done.

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

reference date

date type

publication

effective date

2010-12-08

degree

explanation

Data format

name of format

Comma-separated values (CSV)

version of format

Constraints related to access and use

Constraint set

Limitations on public access

Constraint set

Limitations on public access

Constraint set

Limitations on public access

If you reuse this data, you should cite: Rowland, L., Oliveira, R.S., Bittencourt, P.R.L., Giles, A.L., de Britto Costa, P., Domingues, T., Ferreira, L.V., Vasconcelos, S.S., Junior, J.A.S., Oliveira, A.A.R., da Costa, A.C.L., Meir, P., Mencuccini, M., Coughlin, S.I., Miatto, R.C. (2023). Traits data from juvenile trees exposed to a 50% reduction in canopy throughfall at the Caxiuan drought experiment, Brazil, 2017. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/ca147ac9-ac68-4348-b5f0-dcd483ef3a85

Responsible organisations

Responsible party

organisation name

University of Exeter

Identification

Title

Abstract

Resource type

Resource locator

Unique resource identifier

code

codeSpace

Dataset language

Spatial reference system

code identifying the spatial reference system

Classification of spatial data and services

Topic category

Keywords

Keyword set

keyword value

originating controlled vocabulary

title

reference date

date type

effective date

Keyword set

keyword value

Geographic location

West bounding longitude

East bounding longitude

North bounding latitude

South bounding latitude

Temporal reference

Temporal extent

Begin position

End position

Dataset reference date

date type

effective date

Frequency of update

Quality and validity

Lineage

Conformity

Conformity report

specification

title

reference date

date type

effective date

degree

explanation

Data format

name of format

version of format

Constraints related to access and use

Constraint set

Limitations on public access

Constraint set

Limitations on public access

Constraint set

Limitations on public access

Responsible organisations

Responsible party

organisation name

email address

responsible party role

Responsible party

organisation name

email address

responsible party role

Responsible party

organisation name

email address

responsible party role

Responsible party

organisation name

email address

responsible party role

Responsible party

organisation name

email address

responsible party role

Responsible party

organisation name