Diversification of the urban forest—Can we afford to exclude exotic tree species?

Introduced tree species represent a substantial component of urban forests in cities all over the world. Yet there is controversy about the further use of introduced tree species. Many practice orientated publications,research papers and governmental websites in the fields of urban planning, urban forestry, and urban ecology argue for planting native species and avoiding introduced species. Such arguments for native-only species selection are also touted by environmental groups and the media. Consequently the debate has sometimes spiralled away from a sensible and rational platform where invasion risks and biodiversity loss are discussed, to a groundless and unreasonable argument where exotic species are generally considered incapable of providing ecosystem services. From a European perspective, we here aim to curate a set of necessary considerations for current and future discussions on native and non-native plant material in sustainable urban development. Using examples from Northern and Central Europe we illustrate that in some regions the catalogue of native tree species may be too limited to fulfil ecosystem services and resilience in harsh urban environments. A main message from our line of arguments is that we cannot afford to generally exclude non-native tree species from urban greening. If “native-only” approaches become incorporated in regional, national or international policy documents or legislation there is a risk that urban ecosystem resilience will be compromised, particularly in regions with extreme environmental conditions. Since both invasion risks and sizes of native species pools vary conspicuously at regional to continental scales we also argue to adapt urban policies on using non-native trees to regional contexts.     

Anomalies in Australian municipal tree managers’ street-tree planting and species selection principles

There is scant research on Australian municipal tree managers’ motivations for street tree planting and the rationales for street tree species selections. Tree managers from 129 city councils across Australia were surveyed to address this knowledge gap. This paper presents the findings from 115 (89%) usable survey responses. Tree managers reported four primary motives for street tree planting: visual and aesthetic (97%), environmental (92%), socio-cultural and community (87%), and health (70%). In contrast, tree species characteristics (97%), management and maintenance issues (92%), visual and aesthetic benefits (89%), site environmental factors (80%) and problems caused by different species (70%) were reported to govern street tree species selection. In spite being the primary motives for planting, considerations for socio-cultural and community benefits (61%) and environmental benefits/ecosystem services (61%) had minor influence on street tree species selection. In absence of established research, Australian city councils’ institutional culture is biased by personal opinions on potential threats to city’s vital infrastructure posed by street tree, resulting in the mismatch between planting and species selection principles. Future research correlating species characteristics to specific ecosystem services/disservices might help Australian city councils to adopt an ecosystem services based approach to street tree planting and species selection.     

Building shade affects light environment and urban greenery in high-density residential estates in Singapore

Urban green spaces are an important component of the urban ecosystem of cities as they provide a range of ecosystem services that contribute to sustainability and livability of urban areas. The extent to which such services are provided is influenced by limitations on biological processes that underpin such ecosystem services. A poorly understood limitation in the urban environment is the effects of shade created by buildings on the adequacy of photosynthetically active radiation (PAR) for plant growth. We examined the effects of building shade in high-density, high-rise residential estates in Singapore on the level and distribution of PAR, and how PAR might in turn be correlated with growth of plants in community green spaces nested within these estates. Our estimates showed that high-rise and high-density buildings reduced daily PAR by almost 50% when compared to fully exposed conditions. The reduced PAR levels were correlated with lower vegetative and reproductive growth of several species of shrubs, and increased slenderness of two tree species. The shade environment created by buildings was differentiated from shade under vegetation canopies by longer periods of high instantaneous PAR during a diurnal cycle. There was also evidence of higher red to far-red ratio in the spectral composition of PAR. We suggest that an understanding of the spatial and temporal characteristics of PAR is necessary for appropriate selection of plants, particularly to match daily PAR received on site to daily light integral requirements of plants for improved delivery of ecosystem services.     

Promoting urban greening: Valuing the development of green infrastructure investments in the urban core of Manchester,UK

The attribution of economic value to landscape resources is fraught with technical and methodological difficulties. Little is mandated in UK planning policy explaining how economic value should be established. As a result landscape resources have been undervalued, underfunded and marginalised in favour of larger grey infrastructure development. The UK NEA however outlined for the first time a national scale economic evaluation of environmental resources. The Valuing Attractive Landscapes in the Urban Economy (VALUE) Interreg IVB project examined this issue by establishing a toolkit of economic evaluation methodologies for green investments across North-West Europe. Focussing on the returns that investments in green infrastructure can deliver to cities and city-regions, the VALUE project identified economic values that can be used to influence future policy-making. This paper presents an analysis of VALUE street tree investments in Manchester, UK. Using a contingent valuation survey preferences for green investments and associated willingness to pay (WTP) for them were generated. Analysis suggests that willingness to pay is directly related to the size and greenness of the proposed investment and participant perceptions of added value. 75% of respondents were WTP for investments in green infrastructure. Analysis indicates increased WTP and a marked preference for larger and physically greener investments. Payment values ranged from £1.46 to 2.33, a 59.5% variance, between the preferred investment option and the status quo. The paper concludes that although green investments vary in size and function, respondents consider the specific and wider value of green infrastructure resources when asked how much they willing to pay to fund and maintain such investments.     

Defect-disorder and risk assessment of heritage trees in urban Hong Kong

Heritage trees in a city, echoing factors conducive to outstanding performance, deserve special care and conservation. To understand their structural and health conditions in urban Hong Kong, 30 defect-disorder (DD) symptoms (physical and physiological) subsumed under four tree-position groups (soil-root, trunk, branching, and crown-foliage) and tree hazard rating were evaluated. The surveyed 352 trees included 70 species; 14 species with 233 trees were native. More trees had medium height (10–15 m), medium DBH (1–1.5 m) and large crown (>15 m). In ten habitats, public park and garden (PPG) accommodated the most trees, and roadside traffic island (RTI) and public housing estate (PH) had the least. Tree dimensions and tree habitats were significantly associated. The associations between the 2831 DD and tree-position groups, tree habitats and tree hazard rating were analyzed. Fourteen trees from Ficus microcarpa, Ficus virens and Gleditsia fera had high hazard rating, 179 trees from 22 species moderate rating, and 159 trees from 55 species low rating. RTI, roadside tree strip (RTS), roadside tree pit (RTP), roadside planter (RP) and stone wall (SW) had more moderate hazard rating, and PPG, roadside slope (RS) and government, institutional and community land (GIC) more low rating. Redundancy analysis showed that DD were positively correlated with RTS, RTP, RP and SW, but negatively correlated with PPG, RS and GIC (p < 0.05). The DD significantly increased tree hazard rating and failure potential. Future management implications for heritage-tree conservation and enhancement focusing squarely on critical tree defect-disorder in urban Hong Kong were explored, with application to other compact cities.     

High carbon losses from established growing sites delay the carbon sequestration benefits of street tree plantings – A case study in Helsinki,Finland

We assessed the net carbon (C) sequestration dynamics of street tree plantings based on 10 years of measurements at two case study sites each with different tree species in Helsinki, Finland. We assessed C loss from tree soils and tree C accumulation, tested the applicability of pre-existing growth and biomass equations against observations, and estimated the time point for the beginning of net C sequestration for the studied street tree plantings. The tree woody biomass C accumulation in the first 10 years after planting was 18–32 kg per tree. At the same time the C loss from the growth media was at least 170 kg per growth media volume (25 m³) per tree. If this soil C loss was accounted for, the net C sequestration would begin, at best, approximately 30 years after planting. Biomass equations developed for traditional forests predicted more stem biomass and less leaf and branch biomass than measured for the species examined, but total aboveground biomass was generally well predicted.     

Willing partners? Residential support for municipal urban forestry policies

Cities across North America are adopting ambitious goals to grow their urban forests. As existing trees and new planting opportunities are often located on private property, residents’ support and participation is needed in order to meet these goals. However, little research has examined support for municipal urban forestry efforts, including policies specifically targeting residential areas. The objectives of this research are to (1) assess resident’ level of support for common urban forestry policies and (2) determine if there are specific household characteristics associated with different levels of policy support. The objectives are addressed through a statistical analysis of survey responses and a qualitative examination of follow-up interviews with residents in four neighborhoods located in Mississauga (Ontario, Canada). The survey participants and their properties vary in their socioeconomic characteristics, age of development, and urban forest conditions. Our results found that the majority of residents had neutral to very positive attitudes toward common municipal policies encouraging planting and restricting removal of trees, but support levels were lower for the policies than for general statements about desired presence and size of urban trees. Several characteristics are significantly related to level of policy support, including age of household members, education-level, property-level tree density, recent tree planting activity and age of house. Interviews also highlighted residents’ apprehensions about living among tall trees and older resident's concerns with tree maintenance. The results suggest that most residents would be willing partners in urban forestry efforts, with many of these residents already actively planting and maintain trees. However, to increase support and participation rates, different types of trees – including those smaller in stature and ones that require relatively little maintenance – should be part of any planting program to meet the varying needs of households.     

Application of artificial intelligence for tree risk assessment optimization in Itanhaém – São Paulo,Brazil

Tree risk assessment consists of the identification of a set of defects that may affect the stability of the tree, leading to a possible collapse or failure, either of the whole plant or a part of it; and also, the identification of the targets to be reached and the side effects caused by any eventual failure. Although this is a necessary practice, the large number of variables involved in this evaluation makes the analysis time-consuming. Thus, this research aimed to optimize the tree risk assessment by creating a new protocol with the three visual assessment methods common variables and generating a new protocol applied to trees of species frequently used in urban afforestation worldwide: Terminalia catappa, Ficus Benjamin and Delonix regia. Altogether 36 variables were used for tree risk visual assessment applied in the evaluation of 230 trees located in the urban forest in Itanhaém - São Paulo - Brazil. The data collection was carried out using a smartphone and a data spreadsheet created in ODK collect app, facilitating data storage and processing. To identify the variables with the greatest possibility to determine the risk of falling, artificial intelligence was used through the Decision Tree algorithm (C4.5) in the WEKA software. The results showed that, from the 36 variables evaluated, 14 were enough to determine the risk of tree falling, with 73% hit rate in the tree risk classification. It is concluded that the use of artificial intelligence was essential in detecting tree problems in order to redirect management practices.