Using Bayesian Belief Networks to assess the influence of landscape connectivity on ecosystem service trade-offs and synergies in urban landscapes in the UK release_ni5o3pblqrgxlpmmevlnrnzoue

by James Karimi, Jim A. Harris, Ron Corstanje

Published in Landscape Ecology by Springer Science and Business Media LLC.

2021  

Abstract

<jats:title>Abstract</jats:title><jats:sec> <jats:title>Context</jats:title> Landscape connectivity is assumed to influence ecosystem service (ES) trade-offs and synergies. However, empirical studies of the effect of landscape connectivity on ES trade-offs and synergies are limited, especially in urban areas where the interactions between patterns and processes are complex. </jats:sec><jats:sec> <jats:title>Objectives</jats:title> The objectives of this study were to use a Bayesian Belief Network approach to (1) assess whether functional connectivity drives ES trade-offs and synergies in urban areas and (2) assess the influence of connectivity on the supply of ESs. </jats:sec><jats:sec> <jats:title>Methods</jats:title> We used circuit theory to model urban bird flow of <jats:italic>P. major</jats:italic> and <jats:italic>C. caeruleus</jats:italic> at a 2 m spatial resolution in Bedford, Luton and Milton Keynes, UK, and Bayesian Belief Networks (BBNs) to assess the sensitivity of ES trade-offs and synergies model outputs to landscape and patch structural characteristics (patch area, connectivity and bird species abundance). </jats:sec><jats:sec> <jats:title>Results</jats:title> We found that functional connectivity was the most influential variable in determining two of three ES trade-offs and synergies. Patch area and connectivity exerted a strong influence on ES trade-offs and synergies. Low patch area and low to moderately low connectivity were associated with high levels of ES trade-offs and synergies. </jats:sec><jats:sec> <jats:title>Conclusions</jats:title> This study demonstrates that landscape connectivity is an influential determinant of ES trade-offs and synergies and supports the conviction that larger and better-connected habitat patches increase ES provision. A BBN approach is proposed as a feasible method of ES trade-off and synergy prediction in complex landscapes. Our findings can prove to be informative for urban ES management. </jats:sec>
In application/xml+jats format

Archived Files and Locations

application/pdf  5.8 MB
file_6hkg6sarhzadlggloje5v56lru
dspace.lib.cranfield.ac.uk (web)
web.archive.org (webarchive)
Read Archived PDF
Preserved and Accessible
Type  article-journal
Stage   published
Date   2021-08-05
Language   en ?
Container Metadata
Not in DOAJ
In Keepers Registry
ISSN-L:  0921-2973
Work Entity
access all versions, variants, and formats of this works (eg, pre-prints)
Catalog Record
Revision: 49dbfb20-264c-450c-b472-d868f83fef5a
API URL: JSON