Identification

Title

Leaf phenology synchrony for Meso- and South America

Abstract

[THIS DATASET HAS BEEN WITHDRAWN]. The leaf phenology product presented here shows the amplitude of annual cycles observed in MODIS (Moderate Resolution Imaging Spectroradiometer) normalized difference vegetation index (NDVI) and enhanced vegetation index (EVI) 16-day time-series of 2000 to 2013 for Meso- and South America. The values given represent a conservative measure of the amplitude after the annual cycle was identified and tested for significance by means of the Fourier Transform. The amplitude was derived for four sets of vegtation indices (VI) time-series based on the MODIS VI products (500m MOD13A1; 1000m MOD13A2). The amplitude value can be interpreted as the degree in which the life cycles of individual leaves of plants observed within a pixel are synchronised. In other words, given the local variation in environment and climate and the diversity of species leaf life cycle strategies, an image pixel will represent vegetation communities behaving between two extremes: * well synchronized, where the leaf bud burst and senescence of the individual plants within the pixel occurs near simultaneously, yielding a high amplitude value. Often this matches with an area of low species diversity (e.g. arable land) or with areas where the growth of all plants is controlled by the same driver (e.g. precipitation). * poorly synchronized, where the leaf bud burst and senescence of individual plants within a pixel occurs at different times of the year, yielding a low amplitude value. Often this matches with an area of high species diversity and/or where several drivers could be controlling growth. Full details about this dataset can be found at https://doi.org/10.5285/36795e9d-2380-465c-947b-3c9ae26f92d0

Resource type

dataset

Resource locator

Unique resource identifier

code

https://catalogue.ceh.ac.uk/id/36795e9d-2380-465c-947b-3c9ae26f92d0

codeSpace

doi:

Dataset language

eng

Spatial reference system

code identifying the spatial reference system

Classification of spatial data and services

Topic category

environment

Keywords

Keyword set

keyword value

vegetation index (VI)

normalized difference vegetation index (NDVI)

enhanced vegetation index (EVI)

Geographic location

West bounding longitude

-120.685

East bounding longitude

-32.091

North bounding latitude

33.843

South bounding latitude

-58.002

Temporal reference

Temporal extent

Begin position

2000-01-01

End position

2013-12-31

Dataset reference date

date type

publication

effective date

2017-07-07

date type

creation

effective date

2016-12-31

Frequency of update

notPlanned

Quality and validity

Lineage

The key underlying method is the Fourier Transform (FT) a well established and efficient methodology to analyse time series data. The FT can be used for the detection of regular cycles, even when hidden in a noisy background and when the time series in question contains data gaps. The FT estimates a power spectrum that indicates the average variance in a time series at different time scales or frequencies. Standard linear de-trending of the data before application of the FT allows an analysis of a 'stationary' time series as the mean and variance should ideally be more-or-less constant. We used two approaches to evaluate the amplitude values. The first involved comparing the full extent of the amplitude data grids with the independent International Geosphere-Biosphere Programme (IGBP) land cover map. This was done with histograms showing the distribution of the amplitude values found within each of the IGBP cover classes. The second approach compared published in situ site observations that describe canopy leaf life cycles through leaf flushing and falling, LAI and litter fall or other observations, with the corresponding amplitude values of these sites.

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

TIFF

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

© UK Centre for Ecology & Hydrology

Constraint set

Limitations on public access

If you reuse this data, you should cite: George, C., Gerard, F. (2017). Leaf phenology synchrony for Meso- and South America. NERC Environmental Information Data Centre https://doi.org/10.5285/36795e9d-2380-465c-947b-3c9ae26f92d0

Responsible organisations

Responsible party

organisation name

UK Centre for Ecology & Hydrology

email address

enquiries@ceh.ac.uk

responsible party role

pointOfContact

Responsible party

organisation name

Centre for Ecology & Hydrology

email address

enquiries@ceh.ac.uk

responsible party role

author

Responsible party

organisation name

Centre for Ecology & Hydrology

email address

enquiries@ceh.ac.uk

responsible party role

author

Responsible party

organisation name

NERC EDS Environmental Information Data Centre

email address

info@eidc.ac.uk

responsible party role

custodian

Responsible party

organisation name

NERC Environmental Information Data Centre

email address

info@eidc.ac.uk

responsible party role

publisher

Responsible party

organisation name

UK Centre for Ecology & Hydrology

email address

enquiries@ceh.ac.uk

responsible party role

owner

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

info@eidc.ac.uk

responsible party role

pointOfContact

Metadata date

2021-06-25T18:32:34

Metadata language

eng