Locating Spatial Opportunities for Nature-Based Solutions: A River Landscape Application

Compared to technical infrastructure, nature-based solutions (NBS) strive to work with nature and to move beyond business-as-usual practices. Despite decades of research from various academia fields and a commencing mainstreaming of the term, a lack of cohesiveness and pertinent methods regarding th...

Full description

Bibliographic Details
Main Authors: Paulina Guerrero, Dagmar Haase, Christian Albert
Format: Article
Language:English
Published: MDPI AG 2018-12-01
Series:Water
Subjects:
Online Access:https://www.mdpi.com/2073-4441/10/12/1869
id doaj-874e05f7958d4dad8b526e7921a38209
record_format Article
spelling doaj-874e05f7958d4dad8b526e7921a382092020-11-24T23:58:07ZengMDPI AGWater2073-44412018-12-011012186910.3390/w10121869w10121869Locating Spatial Opportunities for Nature-Based Solutions: A River Landscape ApplicationPaulina Guerrero0Dagmar Haase1Christian Albert2Institute of Environmental Planning, Leibniz Universität Hannover, Herrenhäuser Str. 2, 30419 Hannover, GermanyDepartment of Geography, Humboldt University of Berlin, Rudower Chausee 16, 10099 Berlin, GermanyInstitute of Environmental Planning, Leibniz Universität Hannover, Herrenhäuser Str. 2, 30419 Hannover, GermanyCompared to technical infrastructure, nature-based solutions (NBS) strive to work with nature and to move beyond business-as-usual practices. Despite decades of research from various academia fields and a commencing mainstreaming of the term, a lack of cohesiveness and pertinent methods regarding the subject matter hinders further implementation. Using a functional landscape approach, this paper aims to identify the spatial extent of existing and potential NBS locations and applies it across a case study in Germany. Inspired by hydrological models, which work with delineated hydrological response units, this research instead defines hydromorphological landscape units (HLU) based on biophysical spatial criteria to identify the potential areas that could function as NBS. This approach was tested for floodplain-based NBS. The identified HLU were then compared with historical floodplain and land-use data to differentiate between active or potential NBS. The spatial delineation identified 3.6 million hectares of already active floodplains areas, for which we recommend continued or modified protection measures, and 0.4 million ha where the hydromorphological conditions are apt to support floodplains, yet are cut-off from the flooding regime and require rehabilitation measures. The identification of NBS through explicitly defined HLU serves as a spatial approach to support NBS implementation. Taken together, our research can provide an essential contribution to systemize the emerging scholarship on NBS in river landscapes and to help in selecting and planning appropriate NBS in practice.https://www.mdpi.com/2073-4441/10/12/1869river restorationnature-based solutionsspatial analysisfloodplains
collection DOAJ
language English
format Article
sources DOAJ
author Paulina Guerrero
Dagmar Haase
Christian Albert
spellingShingle Paulina Guerrero
Dagmar Haase
Christian Albert
Locating Spatial Opportunities for Nature-Based Solutions: A River Landscape Application
Water
river restoration
nature-based solutions
spatial analysis
floodplains
author_facet Paulina Guerrero
Dagmar Haase
Christian Albert
author_sort Paulina Guerrero
title Locating Spatial Opportunities for Nature-Based Solutions: A River Landscape Application
title_short Locating Spatial Opportunities for Nature-Based Solutions: A River Landscape Application
title_full Locating Spatial Opportunities for Nature-Based Solutions: A River Landscape Application
title_fullStr Locating Spatial Opportunities for Nature-Based Solutions: A River Landscape Application
title_full_unstemmed Locating Spatial Opportunities for Nature-Based Solutions: A River Landscape Application
title_sort locating spatial opportunities for nature-based solutions: a river landscape application
publisher MDPI AG
series Water
issn 2073-4441
publishDate 2018-12-01
description Compared to technical infrastructure, nature-based solutions (NBS) strive to work with nature and to move beyond business-as-usual practices. Despite decades of research from various academia fields and a commencing mainstreaming of the term, a lack of cohesiveness and pertinent methods regarding the subject matter hinders further implementation. Using a functional landscape approach, this paper aims to identify the spatial extent of existing and potential NBS locations and applies it across a case study in Germany. Inspired by hydrological models, which work with delineated hydrological response units, this research instead defines hydromorphological landscape units (HLU) based on biophysical spatial criteria to identify the potential areas that could function as NBS. This approach was tested for floodplain-based NBS. The identified HLU were then compared with historical floodplain and land-use data to differentiate between active or potential NBS. The spatial delineation identified 3.6 million hectares of already active floodplains areas, for which we recommend continued or modified protection measures, and 0.4 million ha where the hydromorphological conditions are apt to support floodplains, yet are cut-off from the flooding regime and require rehabilitation measures. The identification of NBS through explicitly defined HLU serves as a spatial approach to support NBS implementation. Taken together, our research can provide an essential contribution to systemize the emerging scholarship on NBS in river landscapes and to help in selecting and planning appropriate NBS in practice.
topic river restoration
nature-based solutions
spatial analysis
floodplains
url https://www.mdpi.com/2073-4441/10/12/1869
work_keys_str_mv AT paulinaguerrero locatingspatialopportunitiesfornaturebasedsolutionsariverlandscapeapplication
AT dagmarhaase locatingspatialopportunitiesfornaturebasedsolutionsariverlandscapeapplication
AT christianalbert locatingspatialopportunitiesfornaturebasedsolutionsariverlandscapeapplication
_version_ 1725451744952975360