Kelp belt ecosystem response SCOR files

Published: 12 October 2018| Version 1 | DOI: 10.17632/bdhr3hj3cx.1
Martin Paar, Camille de la Vega, Ragnhild Asmus, Sabine Horn, Harald Asmus


The files contain data on carbon flows of 4 ecosystem models of the Arctic kelp belt ecosystem at Hansneset, Kongsfjorden, Spitzbergen. The four files contain information on a- the kelp belt system in 1996-1998 at 2.5m, b- the kelp belt system in 1996-1998 at 5m, c- the kelp belt system in 2012-2014 at 2.5m and d- the kelp belt system in 2012-2014 at 5m. All files are in the SCOR (Scientific Committee on Oceanic Research) recommended format for the application of network analysis to food web networks. They give information on the living and non-living components present in the ecosystem during each period of time and at each depth. File names: AKB_1996-1998_2-5m_DAT, AKB_1996-1998_5m_DAT, AKB_2012-2014_2-5m_DAT, and AKB_2012-2014_5m_DAT. Each file consists essentially of 6 sections each. The sections are separated by a negative integer (-1). The first is a list of the compartments. The second section gives the biomass/standing stock of each compartment with the units of measurement in mgCm-2. The third section contains the imports from outside the system into the relevant compartments. The fourth section gives information on the exports from each compartment, while the fifth section gives the respiration energy of each living component in the system. The last (sixth) section gives the flows from prey compartment i to consumer compartment j. The units in the last four sections are in mgCm-2day-1. These score files can be directly used in network analysis with the extension .txt (the programs can be downloaded from the web site and loaded in enaR ( with the command Instructions pertaining to the use of the supplement files in the execution of NETWRK 4.2a and enaR are given on the web pages. Output results from NETWRK 4.2a are discussed on the website quoted above and output results from enaR are discussed in Lau et al. (2015).



Ecological Network Analysis