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Verlagsausgabe
DOI: 10.5445/IR/1000080956
Veröffentlicht am 09.03.2018

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

Pace, Rocco; Biber, Peter; Pretzsch, Hans; Grote, Rüdiger

Abstract:
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 ... mehr


Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung - Atmosphärische Umweltforschung (IMK-IFU)
Publikationstyp Zeitschriftenaufsatz
Jahr 2018
Sprache Englisch
Identifikator ISSN: 1999-4907
URN: urn:nbn:de:swb:90-809565
KITopen ID: 1000080956
HGF-Programm 12.02.04; LK 01
Erschienen in Forests
Band 9
Heft 2
Seiten Art.Nr. 89
Bemerkung zur Veröffentlichung Gefördert durch den KIT-Publikationsfonds
Vorab online veröffentlicht am 13.02.2018
Schlagworte air pollution removal; BVOC emission; carbon sequestration; tree competition; urban forest
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