Identification

Title

Litterfall production in human-modified forests of Eastern Amazonia

Abstract

This dataset includes measurements of litter in 20 plots (250 x 10 m each) in the Brazilian Amazon. Study plots were distributed across a gradient of forest disturbance, including: undisturbed primary forests , logged primary forests, logged-and-burned primary forests, and secondary forests. Data were collected from January 2015 until October 2018. In December 2015, during the El Niño-mediated drought, eight of our study plots were affected by understory fires.

Resource type

dataset

Resource locator

Unique resource identifier

code

https://catalogue.ceh.ac.uk/id/d01084b2-c3b1-4187-b2e7-b0827c738855

codeSpace

doi:

Dataset language

eng

Spatial reference system

authority code

urn:ogc:def:crs:EPSG

code identifying the spatial reference system

4326

Classification of spatial data and services

Topic category

biota

Keywords

Keyword set

keyword value

Forest ecology

Forest fire

Litterfall

Brazilian Amazon

Geographic location

West bounding longitude

-55.011

East bounding longitude

-54.449

North bounding latitude

-2.658

South bounding latitude

-3.286

Temporal reference

Temporal extent

Begin position

2015-01-01

End position

2018-10-31

Dataset reference date

date type

publication

effective date

2019-02-01

Frequency of update

Quality and validity

Lineage

We sampled litter in 20 study plots (0.25ha) distributed along a gradient of forest disturbance in Eastern Amazonia: undisturbed primary forests (n = 5), logged primary forests (n = 5), logged-and-burned primary forests (n = 5), and secondary forests (n = 5). Forest disturbance classes were based on both an analysis of canopy disturbance in a chronosequence of satellite images (1988 to 2010) and on field assessments of fire scars, charcoal, and logging debris. Six litterfall traps (50 x 50 cm; 0.25 m2) were installed in each plot, spaced 50 m apart. Traps were placed 1.20 m above the ground. Trap contents at each site were collected every two weeks. All samples were taken to the field lab and separated into six parts – leaves, flowers, fruits, seeds, wood, and rest (i.e. non-identifiable parts). Samples were then oven-dried at 80oC for 3 days before being and weighed to the nearest 0.01 g.

Conformity

Data format

name of format

Comma-separated values (CSV)

version of format

unknown

Constraints related to access and use

Constraint set

Use constraints

© Natural Environment Research Council

Constraint set

Limitations on public access

Responsible organisations

Responsible party

organisation name

Lancaster University

email address

erikaberenguer@gmail.com

responsible party role

author

Responsible party

organisation name

Universidade Estadual Paulista

email address

lianachesinibio@gmail.com

responsible party role

author

Responsible party

organisation name

Unaffiliated

email address

marina.seixas@gmail.com

responsible party role

author

Responsible party

organisation name

Lancaster University

email address

josbarlow@gmail.com

responsible party role

author

Responsible party

organisation name

Lancaster University

email address

erikaberenguer@gmail.com

responsible party role

pointOfContact

Responsible party

organisation name

Environmental Information Data Centre

email address

eidc@ceh.ac.uk

responsible party role

custodian

Responsible party

organisation name

NERC Environmental Information Data Centre

email address

eidc@ceh.ac.uk

responsible party role

publisher

Metadata on metadata

Metadata point of contact

organisation name

Environmental Information Data Centre

full postal address

Lancaster Environment Centre, Library Avenue, Bailrigg

Lancaster

LA1 4AP

UK

email address

eidc@ceh.ac.uk

responsible party role

pointOfContact

Metadata date

2019-02-26T10:36:11

Metadata language

eng