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Modeling Ecosystem Services for Park Trees : Sensitivity of i-Tree Eco Simulations to Light Exposure and Tree Species Classification

Pace, Rocco ORCID iD icon 1,2; Biber, Peter; Pretzsch, Hans; Grote, Rüdiger ORCID iD icon 1,2
1 Institut für Meteorologie und Klimaforschung – Atmosphärische Umweltforschung (IMK-IFU), Karlsruher Institut für Technologie (KIT)
2 Institut für Meteorologie und Klimaforschung (IMK), Karlsruher Institut für Technologie (KIT)


Ecosystem modeling can help decision making regarding planting of urban trees for climate change mitigation and air pollution reduction. Algorithms and models that link the properties of plant functional types, species groups, or single species to their impact on specific ecosystem services have been developed. However, these models require a considerable effort for initialization that is inherently related to uncertainties originating from the high diversity of plant species in urban areas. We therefore suggest a new automated method to be used with the i-Tree Eco model to derive light competition for individual trees and investigate the importance of this property. Since competition depends also on the species, which is difficult to determine from increasingly used remote sensing methodologies, we also investigate the impact of uncertain tree species classification on the ecosystem services by comparing a species-specific inventory determined by field observation with a genus-specific categorization and a model initialization for the dominant deciduous and evergreen species only. Our results show how the simulation of competition affects the determination of carbon sequestration, leaf area, and related ecosystem services and that the proposed method provides a tool for improving estimations. ... mehr

Verlagsausgabe §
DOI: 10.5445/IR/1000080956
Veröffentlicht am 09.03.2018
DOI: 10.3390/f9020089
Zitationen: 36
Zitationen: 42
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung – Atmosphärische Umweltforschung (IMK-IFU)
KIT-Zentrum Klima und Umwelt (ZKU)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2018
Sprache Englisch
Identifikator ISSN: 1999-4907
KITopen-ID: 1000080956
HGF-Programm 12.02.04 (POF III, LK 01) Urban-Rural Interactions
Erschienen in Forests
Verlag MDPI
Band 9
Heft 2
Seiten Art.Nr. 89
Bemerkung zur Veröffentlichung Gefördert durch den KIT-Publikationsfonds
Vorab online veröffentlicht am 13.02.2018
Schlagwörter air pollution removal; BVOC emission; carbon sequestration; tree competition; urban forest
Nachgewiesen in Web of Science
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