Organic pollution (pesticides) 2008 - KNB

Pesticides were used as a proxy measure for organic pollution. Input data are from FAO statistics published in the time period 2003-2006. Missing pesticide values were filled using a linear regression model of pesticides as a function of fertilizers (gaps: N=69; regression: R2 = 0.72) when fertilizer data were available or agricultural GDP (gaps: N=22; regression: R2 = 0.82) when not. These country-level average pesticides values were then dasymetrically distributed over a country’s landscape using global land cover data from 2005. Finally, spread of the driver values into coastal waters at each pour point was modelled with a cost-path surface on the basis of a decay function that assigns a fixed amount of the driver (0.5% of the value in the previous cell) in the initial cell and then evenly distributes the remaining amount of driver in all adjacent and ‘unvisited’ cells, repeated until a minimum threshold (0.05% of global maximum) is reached. This approach to modelling river plumes is diffusive and so allows drivers to wrap around headlands and islands. Raw stressor data from "Benjamin Halpern, Melanie Frazier, John Potapenko, Kenneth Casey, Kellee Koenig, et al. 2015. Cumulative human impacts: raw stressor data (2008 and 2013). Knowledge Network for Biocomplexity. doi:10.5063/F1S180FS."

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Additional Info

Field Value
Source https://app.mapx.org/static.html?views=MX-CW19T-LBHXC-VKJZF&zoomToViews=true#JAAc6
Author UNEP/GRID-Geneva
Maintainer UNEP/GRID-Geneva
Last Updated December 7, 2022, 08:06 (UTC)
Created December 7, 2022, 08:06 (UTC)
GUID MX-CW19T-LBHXC-VKJZF
Issued 2017-11-03 18:05:16
Language EN
Modified 2021-09-06 11:01:23
Publisher email info@mapx.org
Publisher name UNEP/GRID-Geneva
Theme Web Map
data_type geospatial
keywords_m49 WLD
projects_description World Environment Situation Room: Pollution
projects_id MX-JOJ-8ME-I4T-G9M-I9E
projects_title WESR: Pollution
range_end_at_year 2021
range_start_at_year 2008
source_abstract Pesticides were used as a proxy measure for organic pollution. Input data are from FAO statistics published in the time period 2003-2006. Missing pesticide values were filled using a linear regression model of pesticides as a function of fertilizers (gaps: N=69; regression: R2 = 0.72) when fertilizer data were available or agricultural GDP (gaps: N=22; regression: R2 = 0.82) when not. These country-level average pesticides values were then dasymetrically distributed over a country’s landscape using global land cover data from 2005. Finally, spread of the driver values into coastal waters at each pour point was modelled with a cost-path surface on the basis of a decay function that assigns a fixed amount of the driver (0.5% of the value in the previous cell) in the initial cell and then evenly distributes the remaining amount of driver in all adjacent and ‘unvisited’ cells, repeated until a minimum threshold (0.05% of global maximum) is reached. This approach to modelling river plumes is diffusive and so allows drivers to wrap around headlands and islands. Raw stressor data from "Benjamin Halpern, Melanie Frazier, John Potapenko, Kenneth Casey, Kellee Koenig, et al. 2015. Cumulative human impacts: raw stressor data (2008 and 2013). Knowledge Network for Biocomplexity. doi:10.5063/F1S180FS."
source_title Organic pollution (pesticides) 2008 - KNB
spatial WLD