Stepping stones: assessing the permeability of urban greenspaces to climate-driven migration of trees

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Abstract

Large-scale urbanisation has become a significant barrier to the natural migration of tree species, which is being exacerbated by accelerated climate change. Within this context, improving the permeability of urban landscapes is expected to be an effective strategy to facilitate the process of forest migration through cities. This study develops a method to assess the permeability of urban green spaces as stepping stones for forest migration, from the perspective of seed dispersal. The proposed method combines a least-cost path model and a graph theory-based approach. The least-cost path model is applied to map the potential pathways of seed dispersal at multiple spatial and temporal scales, based on which graph theory-based indices are used to quantify the accessibility of urban landscapes for seed dispersal agents. This method is demonstrated by a case study in the Greater Manchester area, UK. Eurasian jay, Eurasian siskin, coal tit and grey squirrel are selected as the main seed dispersal agents in the study area. The results provide a comparison of the landscape permeability maps generated from different seed dispersal agents and identify key areas likely to facilitate the process of forest migration. Recommendations regarding landscape management for improving permeability are also discussed.
Original languageEnglish
JournalSmart and Sustainable Built Environment
DOIs
Publication statusPublished - 25 Apr 2019

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greenspace
permeability
seed dispersal
Seed
climate
migration
graph theory
Graph theory
landscape management
costs
coal
urbanization
climate change
cost
Climate change
accessibility
Costs
Coal
method

Cite this

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title = "Stepping stones: assessing the permeability of urban greenspaces to climate-driven migration of trees",
abstract = "Large-scale urbanisation has become a significant barrier to the natural migration of tree species, which is being exacerbated by accelerated climate change. Within this context, improving the permeability of urban landscapes is expected to be an effective strategy to facilitate the process of forest migration through cities. This study develops a method to assess the permeability of urban green spaces as stepping stones for forest migration, from the perspective of seed dispersal. The proposed method combines a least-cost path model and a graph theory-based approach. The least-cost path model is applied to map the potential pathways of seed dispersal at multiple spatial and temporal scales, based on which graph theory-based indices are used to quantify the accessibility of urban landscapes for seed dispersal agents. This method is demonstrated by a case study in the Greater Manchester area, UK. Eurasian jay, Eurasian siskin, coal tit and grey squirrel are selected as the main seed dispersal agents in the study area. The results provide a comparison of the landscape permeability maps generated from different seed dispersal agents and identify key areas likely to facilitate the process of forest migration. Recommendations regarding landscape management for improving permeability are also discussed.",
author = "Qiyao Han and Greg Keeffe",
year = "2019",
month = "4",
day = "25",
doi = "10.1108/SASBE-12-2018-0065",
language = "English",
journal = "Smart and Sustainable Built Environment",
issn = "2046-6099",
publisher = "Emerald Group Publishing Ltd.",

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AU - Han, Qiyao

AU - Keeffe, Greg

PY - 2019/4/25

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N2 - Large-scale urbanisation has become a significant barrier to the natural migration of tree species, which is being exacerbated by accelerated climate change. Within this context, improving the permeability of urban landscapes is expected to be an effective strategy to facilitate the process of forest migration through cities. This study develops a method to assess the permeability of urban green spaces as stepping stones for forest migration, from the perspective of seed dispersal. The proposed method combines a least-cost path model and a graph theory-based approach. The least-cost path model is applied to map the potential pathways of seed dispersal at multiple spatial and temporal scales, based on which graph theory-based indices are used to quantify the accessibility of urban landscapes for seed dispersal agents. This method is demonstrated by a case study in the Greater Manchester area, UK. Eurasian jay, Eurasian siskin, coal tit and grey squirrel are selected as the main seed dispersal agents in the study area. The results provide a comparison of the landscape permeability maps generated from different seed dispersal agents and identify key areas likely to facilitate the process of forest migration. Recommendations regarding landscape management for improving permeability are also discussed.

AB - Large-scale urbanisation has become a significant barrier to the natural migration of tree species, which is being exacerbated by accelerated climate change. Within this context, improving the permeability of urban landscapes is expected to be an effective strategy to facilitate the process of forest migration through cities. This study develops a method to assess the permeability of urban green spaces as stepping stones for forest migration, from the perspective of seed dispersal. The proposed method combines a least-cost path model and a graph theory-based approach. The least-cost path model is applied to map the potential pathways of seed dispersal at multiple spatial and temporal scales, based on which graph theory-based indices are used to quantify the accessibility of urban landscapes for seed dispersal agents. This method is demonstrated by a case study in the Greater Manchester area, UK. Eurasian jay, Eurasian siskin, coal tit and grey squirrel are selected as the main seed dispersal agents in the study area. The results provide a comparison of the landscape permeability maps generated from different seed dispersal agents and identify key areas likely to facilitate the process of forest migration. Recommendations regarding landscape management for improving permeability are also discussed.

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M3 - Article

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