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Relative Magnitude of Fragmentation (RMF)

Dataset Creator: Babak Naimi
Publication Year: 2020

We use an existing spatially contiguous, global remote-sensing data product (i.e. the 27-year annual ESA CCI land cover maps which can be categorized as an EBV ‘Ecosystem Distribution’) to derive an annual (27 year) time-series of the Relative Magnitude of Fragmentation (RMF) at a global scale and with a spatial resolution of 300m. From this de ...

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Big DataRemote SensingESALand coverGrid cellTime-seriesGlobal

Title:

Relative Magnitude of Fragmentation (RMF)

Publication Year:

2020

Description:
License:

CC BY 4.0

Additional Info:

We define the ‘forest’ class by aggregating all 14 tree cover related land cover types from the ESA CCI product into one class. We further define eight non-forest classes (agriculture, grassland, wetland, settlement, sparse vegetation, bare area, water, permanent snow and ice) that we use as multinomial categorical data, or as binary categorical data (to define forest vs. non-forest). This classes follow the reclassification used by Mousivand & Arsanjani 2019 (Applied Geography 106: 82-92). For deriving the RMF, we either calculate ELSA using the binary categorical data (forest vs. non-forest) or the multinomial categorical data (forest vs. the eight non-forest classes)

Creator

Name:

Babak Naimi

E-mail: naimi.b@gmail.com
Organisation:

University of Helsinki

Contact

Name:

W. Daniel Kissling

E-mail: wdkissling@gmail.com
Organisation:

Institute for Biodiversity and Ecosystem Dynamics (IBED), University of Amsterdam

Essential Biodiversity Variables (EBVs)

EBV class

Ecosystem structure

EBV name

Ecosystem distribution

Spatial domain

Spatial extent:

Global

Spatial resolution:

1000 meter

Spatial accuracy:

1000 meter

Temporal domain

Temporal resolution:

Yearly

Temporal extent:

From 1992-01-01 to 2018-12-31

Biological entity

Entity type:

Ecosystem Types

Environmental domain

Realm:

Terrestrial

Metric

Name:

Relative Magnitude of Fragmentation (RMF)

Description:

The Relative Magnitude of Fragmentation (RMF) measures the fragmentation of specific land cover types using the entropy-based local indicator of spatial association (ELSA). This metric quantifies the degree of fragmentation at each location (grid cell) relative to neighbouring locations, and simultaneously incorporates both the spatial composition and the configuration of land cover types. The values of ELSA vary between 0 and 1, denoting lowest and highest fragmentation. The RMF values are calculated for 300 m pixels worldwide and can be aggregated at any coarser spatial resolution to summarize trends and the magnitude of ecosystem fragmentation for any terrestrial area. The RMF is based on the annual ESA CCI land cover maps and thus provides time series of fragmentation with a starting year of 1992.


Scenario

No scenario provided

Description of resources:

To be added soon

Resources used to generate the data

Resource 1
Name and version:

To be added soon

Type:


Access:


Link:


Reference:


User comments:
profile-image Jul 2020
Christian Langer

Please note some information provided for the datasets is still in progress, so the metadata may not be complete yet.

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