Publications

@article{land12020275,

title = {Old-Growth Forests in Urban Nature Reserves: Balancing Risks for Visitors and Biodiversity Protection in Warsaw, Poland},

author = {Andrzej Długoński and Thilo Wellmann and Dagmar Haase},

url = {https://www.mdpi.com/2073-445X/12/2/275},

doi = {10.3390/land12020275},

issn = {2073-445X},

year  = {2023},

date = {2023-01-01},

urldate = {2023-01-01},

journal = {Land},

volume = {12},

number = {2},

abstract = {Urban nature reserves in Poland are precious relics of ancient nature with preserved biodiversity. They consist of valuable trees several 100 years old, are biodiverse, and are valuable recreational spaces right in and around cities. It is therefore critical to manage tradeoffs between visitor safety due to, e.g., falling dead branches and the need for old-grown trees for biodiversity conservation. This study aimed to determine whether airborne laser scanning data (LiDAR) can confirm that trees exhibiting the worst crown defoliation are the first to be damaged in storms. Our results show that during Storm Eunice in 2022, the detected defoliated trees, in fact, were damaged the most. Despite such evidence available to the city, no targeted changes to the management of the reserves were taken after the storm. One of the forests was completely closed to visitors; in the other forest, areas with damaged trees were fenced off, and then, the remaining branches and fallen trees were removed to make the forest available for recreation. Using available evidence such as LiDAR data, we propose more targeted and nuanced forms of managing biodiversity conservation in conjunction with visitor safety. This includes the establishment of priority areas, visitor information, and visitor management. This way, airborne laser scanning and Geographic Information Systems can be used to balance management needs accounting for both biodiverse old-grown forest structures while at the same time providing added safety for visitors.},

keywords = {Biodiversity, Urban forest, Urban nature reserve, Vegetation management, Warsaw},

pubstate = {published},

tppubtype = {article}

}

@article{SCHEUER2022127780,

title = {A trait-based typification of urban forests as nature-based solutions},

author = {Sebastian Scheuer and Jessica Jache and Martina Kičić and Thilo Wellmann and Manuel Wolff and Dagmar Haase},

url = {https://www.sciencedirect.com/science/article/pii/S1618866722003235},

doi = {https://doi.org/10.1016/j.ufug.2022.127780},

issn = {1618-8667},

year  = {2022},

date = {2022-01-01},

journal = {Urban Forestry & Urban Greening},

volume = {78},

pages = {127780},

abstract = {Urban forests as nature-based solutions (UF-NBS) are important tools for climate change adaptation and sustainable development. However, achieving both effective and sustainable UF-NBS solutions requires diverse knowledge. This includes knowledge on UF-NBS implementation, on the assessment of their environmental impacts in diverse spatial contexts, and on their management for the long-term safeguarding of delivered benefits. A successful integration of such bodies of knowledge demands a systematic understanding of UF-NBS. To achieve such an understanding, this paper presents a conceptual UF-NBS model obtained through a semantic, trait-based modelling approach. This conceptual model is subsequently implemented as an extendible, re-usable and interoperable ontology. In so doing, a formal, trait-based vocabulary on UF-NBS is created, that allows expressing spatial, morphological, physical, functional, and institutional UF-NBS properties for their typification and a subsequent integration of further knowledge and data. Thereby, ways forward are opened for a more systematic UF-NBS impact assessment, management, and decision-making.},

keywords = {Nature-based solution, Ontology, Semantics, Trait-based modelling, Typology, Urban forest},

pubstate = {published},

tppubtype = {article}

}

@article{SCHEUER2022127780b,

title = {A trait-based typification of urban forests as nature-based solutions},

author = {Sebastian Scheuer and Jessica Jache and Martina Kičić and Thilo Wellmann and Manuel Wolff and Dagmar Haase},

url = {https://www.sciencedirect.com/science/article/pii/S1618866722003235},

doi = {https://doi.org/10.1016/j.ufug.2022.127780},

issn = {1618-8667},

year  = {2022},

date = {2022-01-01},

journal = {Urban Forestry & Urban Greening},

volume = {78},

pages = {127780},

abstract = {Urban forests as nature-based solutions (UF-NBS) are important tools for climate change adaptation and sustainable development. However, achieving both effective and sustainable UF-NBS solutions requires diverse knowledge. This includes knowledge on UF-NBS implementation, on the assessment of their environmental impacts in diverse spatial contexts, and on their management for the long-term safeguarding of delivered benefits. A successful integration of such bodies of knowledge demands a systematic understanding of UF-NBS. To achieve such an understanding, this paper presents a conceptual UF-NBS model obtained through a semantic, trait-based modelling approach. This conceptual model is subsequently implemented as an extendible, re-usable and interoperable ontology. In so doing, a formal, trait-based vocabulary on UF-NBS is created, that allows expressing spatial, morphological, physical, functional, and institutional UF-NBS properties for their typification and a subsequent integration of further knowledge and data. Thereby, ways forward are opened for a more systematic UF-NBS impact assessment, management, and decision-making.},

keywords = {Nature-based solution, Ontology, Semantics, Trait-based modelling, Typology, Urban forest},

pubstate = {published},

tppubtype = {article}

}