2021
Chen, Shanshan; Haase, Dagmar; Xue, Bing; Wellmann, Thilo; Qureshi, Salman
Integrating Quantity and Quality to Assess Urban Green Space Improvement in the Compact City Journal Article
In: Land, 2021.
Abstract | Links | BibTeX | Tags: Berlin, Greening City, Land surfacae temperature, Landsat, Public engagement, Remote Sensing, Urban governance
@article{Thilo_Wellmann_104658268,
title = {Integrating Quantity and Quality to Assess Urban Green Space Improvement in the Compact City},
author = {Shanshan Chen and Dagmar Haase and Bing Xue and Thilo Wellmann and Salman Qureshi},
url = {http://doi.org/10.3390/land10121367},
doi = {10.3390/land10121367},
year = {2021},
date = {2021-01-01},
urldate = {2021-01-01},
journal = {Land},
abstract = {Urban green space (UGS) has gained much attention in terms of urban ecosystems and human health. Measures to improve green space in compact cities are important for urban sustainability. However, there is a knowledge gap between UGS improvement and planning management. Based on the integration of quantity and quality, this research aims to identify UGS changes during urban development and suggest ways to improve green space. We analyse land use changes, conduct a hotspot analysis of land surface temperature (LST) between 2005 and 2015 at the city scale, and examine the changes in small, medium and large patches at the neighbourhood scale to guide decision-makers in UGS management. The results show that (i) the redevelopment of urban brownfields is an effective method for increasing quantity, with differences depending on regional functions; (ii) small, medium and large patches of green space have significance in terms of improving the quality of temperature mitigation, with apparent coldspot clustering from 2005 to 2015; and (iii) the integration of UGS quality and quantity in planning management is beneficial to green space sustainability. Green space improvement needs to emphasize the integration of UGS quantity and quality to accommodate targeted planning for local conditions.},
keywords = {Berlin, Greening City, Land surfacae temperature, Landsat, Public engagement, Remote Sensing, Urban governance},
pubstate = {published},
tppubtype = {article}
}
2020
Andersson, Erik; Haase, Dagmar; Scheuer, Sebastian; Wellmann, Thilo
Neighbourhood character affects the spatial extent and magnitude of the functional footprint of urban green infrastructure Journal Article
In: Landscape Ecology, vol. 35, no. 7, pp. 1605–1618, 2020.
Abstract | Links | BibTeX | Tags: Ecological flows, Land surfacae temperature, Landsat, Leipzig, Neighbouring effects, Rise-and-decay functions, Urban birds, Urban green infrastructure
@article{Andersson_2020,
title = {Neighbourhood character affects the spatial extent and magnitude of the functional footprint of urban green infrastructure},
author = {Erik Andersson and Dagmar Haase and Sebastian Scheuer and Thilo Wellmann},
url = {https://doi.org/10.1007%2Fs10980-020-01039-z},
doi = {10.1007/s10980-020-01039-z},
year = {2020},
date = {2020-06-01},
urldate = {2020-06-01},
journal = {Landscape Ecology},
volume = {35},
number = {7},
pages = {1605--1618},
publisher = {Springer Science and Business Media LLC},
abstract = {Context
Urban densification has been argued to increase the contrast between built up and open green space. This contrast may offer a starting point for assessing the extent and magnitude of the positive influences urban green infrastructure is expected to have on its surroundings.
Objectives
Drawing on insights from landscape ecology and urban geography, this exploratory study investigates how the combined properties of green and grey urban infrastructures determine the influence of urban green infrastructure on the overall quality of the urban landscape.
Methods
This article uses distance rise-or-decay functions to describe how receptive different land uses are to the influence of neighbouring green spaces, and does this based on integrated information on urban morphology, land surface temperature and habitat use by breeding birds.
Results
Our results show how green space has a non-linear and declining cooling influence on adjacent urban land uses, extending up to 300–400 m in densely built up areas and up to 500 m in low density areas. Further, we found a statistically significant declining impact of green space on bird species richness up to 500 m outside its boundaries.
Conclusions
Our focus on land use combinations and interrelations paves the way for a number of new joint landscape level assessments of direct and indirect accessibility to different ecosystem services. Our early results reinforce the challenging need to retain more green space in densely built up part of cities.},
keywords = {Ecological flows, Land surfacae temperature, Landsat, Leipzig, Neighbouring effects, Rise-and-decay functions, Urban birds, Urban green infrastructure},
pubstate = {published},
tppubtype = {article}
}
Urban densification has been argued to increase the contrast between built up and open green space. This contrast may offer a starting point for assessing the extent and magnitude of the positive influences urban green infrastructure is expected to have on its surroundings.
Objectives
Drawing on insights from landscape ecology and urban geography, this exploratory study investigates how the combined properties of green and grey urban infrastructures determine the influence of urban green infrastructure on the overall quality of the urban landscape.
Methods
This article uses distance rise-or-decay functions to describe how receptive different land uses are to the influence of neighbouring green spaces, and does this based on integrated information on urban morphology, land surface temperature and habitat use by breeding birds.
Results
Our results show how green space has a non-linear and declining cooling influence on adjacent urban land uses, extending up to 300–400 m in densely built up areas and up to 500 m in low density areas. Further, we found a statistically significant declining impact of green space on bird species richness up to 500 m outside its boundaries.
Conclusions
Our focus on land use combinations and interrelations paves the way for a number of new joint landscape level assessments of direct and indirect accessibility to different ecosystem services. Our early results reinforce the challenging need to retain more green space in densely built up part of cities.
Wellmann, Thilo; Schug, Franz; Haase, Dagmar; Pflugmacher, Dirk; Linden, Sebastian
Green growth? On the relation between population density, land use and vegetation cover fractions in a city using a 30-years Landsat time series Journal Article
In: Landscape and Urban Planning, 2020, ISSN: 0169-2046.
Abstract | Links | BibTeX | Tags: Berlin, Compact vs. Dispersed developments, Earth observation, Greening City, Landsat, Machine learning, Unmixing, Urban planning
@article{Thilo_Wellmann_75416790,
title = {Green growth? On the relation between population density, land use and vegetation cover fractions in a city using a 30-years Landsat time series},
author = {Thilo Wellmann and Franz Schug and Dagmar Haase and Dirk Pflugmacher and Sebastian Linden},
url = {https://thilowellmann.de/wp/wp-content/uploads/2020/06/WellmannEtAl_GreenGrowth_AcceptedManuscript.pdf},
doi = {10.1016/j.landurbplan.2020.103857},
issn = {0169-2046},
year = {2020},
date = {2020-01-01},
urldate = {2020-01-01},
journal = {Landscape and Urban Planning},
abstract = {Both compact and dispersed green cities are considered sustainable urban forms, yet some developments accompanied with these planning paradigms seem problematic in times of urban growth. A compact city might lose urban green spaces due to infill and a dispersed-green city might lose green in its outskirts through suburbanisation. To study these storylines, we introduce an operationalised concept of contrasting changes in population density (shrinkage or growth) with vegetation density (sealing or greening) over time. These trends are ascribed to different land use classes and single urban development projects, to quantify threads and pathways for urban green in a densifying city. We mapped the development in vegetation density over 30 years as subpixel fractions based on a Landsat remote sensing time series (for 2015: MAE 0.12). The case study city Berlin, Germany, developed into a city that is both gaining in vegetation–greening–and population–growing–in recent years but featured highly diverse trends for both compact and green city districts before that. Pathways to achieve a greening-growing scenario in a compact city include green roofs, brownfield and industrial revitalisation, and bioswales in predominantly green city districts. A threat for compact cities pose infill developments without greening measures. A threat for dispersed-green cities is microsealing in private residential gardens–gravel gardens–or car parking infrastructure. We conclude that neither a compact nor a dispersed-green city form concept logically leads to a development towards more environmental quality–here vegetation density–in times of densification but rather context specific urban planning.},
keywords = {Berlin, Compact vs. Dispersed developments, Earth observation, Greening City, Landsat, Machine learning, Unmixing, Urban planning},
pubstate = {published},
tppubtype = {article}
}