This README file was generated on 20220407 by IVAN CARDENAS, LAKSHMIPRIYA SABU and EMERALD AWUOR.

Abstract:

This repository contains the original presentation and methodology developed in MarchApril 2022 for modeling the redistribution of marine food resources using origindestination flows, CO2 fuel cost estimation, and Furness modeling. Developed independently as part of the course "Global Challenges, Local Actions" at the M-GEO program at the University of Twente. This work includes all figures, calculations, and visualizations used in the original project submission and final presentation.

GENERAL INFORMATION

Title of Dataset: Senegal Fisheries

Author Information (Ivan Cardenas-Leon,Lakshmipriya Sabu,Emerald Awuor, ITC, Hengelostraat 99, Enschede, NL )

Date of data collection 2022-03 - Collected by Charis Chalkiadakis

Geographic location of data collection: Senegal, West Africa.

Information about funding sources or sponsorship that supported the collection of the data: Impact of International Fish trade flows in Africa, 2018-05.

SHARING/ACCESS INFORMATION

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND 4.0). See LICENSE file for details. Please contact Authors.

Recommended citation for the data:

Cardenas-Leon, I. L., Awuaror, E., & Sabu, L. (2022). MAPPING ECOSYSTEM SERVICE FLOWS IN SENEGAL: Sardinella protein flows from small-scale fisheries (Version 1.0.0) [Publication]. https://doi.org/10.5281/zenodo.15633130

DATA & FILE OVERVIEW

```

DATA--| |Raster-----| | |220330UrbanAreasSenegalv1.tif | Source: Global Human Settlement Layer(2019) |SHP--------| |210218Landingsitesv1.shp | Source: PRCM (2021) |220330RoadNetworkv1.shp | Source: OSM (2022) |220330Boundariesv1.shp | Source: OSM (2022) |210218SardinelaSpExtentv1.shp | Source: OBIS (2022) | Derived from CSV file. |Exclusive Economic Zonesv1.shp| Source :Flanders Marine Institute(2019) |Protected Areasv1.shp|UNEP-WCMC and IUCN(2022) | |Spredsheets|SardinelaSpatialExtentv1.csv | Source: OBIS(2022) | Geo points were derived from this layer |Catch of biomassv1.pdf|Source:DPM(2018)| The data values are derived from DPM report

```

METHODOLOGICAL INFORMATION

```

Description of methods used for collection/generation of data: 220330UrbanAreasSenegalv1.tif | Source:Global Human Settlement Layer(2019)| https://ghsl.jrc.ec.europa.eu/download.php : 210218Landingsitesv1.shp | Source: PRCM (2021)| https://prcmarine.org/ : 220330RoadNetworkv1.shp | Source: OSM (2022)| https://www.openstreetmap.org/export#map=7/14.477/-14.548 : 220330Boundariesv1.shp | Source: OSM (2022)| https://www.openstreetmap.org/export#map=7/14.477/-14.548 : 210218SardinelaSpExtentv1.shp | Source: OBIS (2022)| https://www.openstreetmap.org/export#map=7/14.477/-14.548 : Exclusove Economic Zonesv1.shp| Source :Flanders Marine Institute(2019)| https://www.vliz.be/en/data-search : Protected Areasv1.shp|UNEP-WCMC and IUCN(2022)| https://www.iucn.org/theme/protected-areas/our-work/quality-and-effectiveness/world-database-protected-areas-wdpa : SardinelaSpatialExtentv1.csv | Source: OBIS(2022)| https://www.gbif.org/network/2b7c7b4f-4d4f-40d3-94de-c28b6fa054a6/dataset : Catch of biomassv1.pdf|Source:DPM(2018)| http://hdl.handle.net/1834/15921 ``` Methods for processing the data: Network Analysis was performed to calculate the Origin-Destination distances. The segments were later processed to calculate the DOT and CO2 Emissions.

Software- or Instrument-specific information needed to interpret the data, including software and hardware version numbers: ArcGIS PRO 2.7

BibTex Citation: @misc{Cardenas-Leon_MAPPING_ECOSYSTEM_SERVICE_2022, author = {Cardenas-Leon, Ivan L. and Awuaror, Emerald and Sabu, Lakshmipriya}, month = apr, title = {{MAPPING ECOSYSTEM SERVICE FLOWS IN SENEGAL: Sardinella protein flows from small-scale fisheries}}, url = {https://github.com/ivan-cardenas/ESSFlows/tree/main}, doi: {10.5281/zenodo.15633130} year = {2022} }