Browsing by Author "Dariush Karimi, James"
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Item Open Access Data related to Bundling ecosystem services at a high resolution in the UK: Trade-offs and synergies in urban landscapes(Cranfield University, 2021-04-30 09:29) Dariush Karimi, JamesThis dataset comprises ten file figures reported in the paper Bundling ecosystem services at a high resolution in the UK: Trade-offs and synergies in urban landscapes. Fig1a.tif, Fig1b.tif and Fig1c.tif show the study area and land cover classification. Fig1Loc_a.jpg shows the location of the study area. Fig2a.tif, Fig2b.tif and Fig2c.tif show the spatial distribution of each ecosystem service bundle for the towns of Bedford, Luton and Milton Keynes Fig3a.png, Fig3b.png, Fig3c.png and Fig3d.png show the radar charts with the average values of each service in the bundle type. a) Potential soil erosion, b) Urban trees and woodland c) Urban grassland and d) Suburban grassland bundle types The dataset Data_test_pc_st.txt was used to analyse the trade-offs and synergies between ecosystem services and in the K-means clustering analysis. It contains the ecosystems services and the principal component values (for PC1 nutrient retention and carbon storage, PC 2 habitat quality and pollinator abundance and PC3 potential soil erosion and water supply).Item Open Access Data related to Using Bayesian Belief Networks to assess the influence of landscape connectivity on ecosystem service trade-offs and synergies in urban landscapes in the UK(Cranfield University, 2021-08-09 21:50) Dariush Karimi, JamesThis data comprises ten file figures reported in the paper Using Bayesian Belief Networks to assess the influence of landscape connectivity on ecosystem service trade-offs and synergies in urban landscapes in the UK. Fig1a.tif, Fig1b.tif and Fig1c.tif show the study area and land cover classification. Fig1Loc_a.jpg shows the location of the study area. Fig2.png shows the methodological framework to assess the influence of connectivity on ES trade-offs and synergies. Fig3.png shows an example of Bayesian Belief Network model structure for Nutrient retention and Carbon storage trade-offs. All models used a comparable structure. Fig4a.tif, Fig4b.tif and Fig4c.tif show the modelled cumulative current maps for Bedford, Luton and Milton Keynes at 2 m resolution. Fig5.png shows the heat maps that visually depict the conditional probabilities driving each model. The dataset Dataset_PC_maxBA.txt was used for Bayesian modelling to assess whether connectivity affects ES trade-offs and synergies. It contains 116 cases (observations) where each case represents a point observation of counts of bird abundance (within a radius of 200 m), a point observation of bird species richness, data point cumulative current mapped values, data point principal components raster mapped values and patch area metric values found at the same location. The dataset refers to cases (observations) across the combined built-up areas of Bedford, Luton and Milton Keynes. The data point principal component values represent nutrient retention and carbon storage trade-offs(PC 1), habitat quality and pollinator abundance trade-offs (PC 2) and potential soil erosion and water supply synergies(PC 3).