{"title":"SOUNDINGS: Views from the Urban Forest","authors":"","doi":"10.1080/03071375.2024.2368975","DOIUrl":"https://doi.org/10.1080/03071375.2024.2368975","url":null,"abstract":"","PeriodicalId":35799,"journal":{"name":"Arboricultural Journal","volume":" 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141677437","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Editorial: counting urban trees may be informative or taken with a pinch of salt","authors":"I. Rotherham","doi":"10.1080/03071375.2023.2264120","DOIUrl":"https://doi.org/10.1080/03071375.2023.2264120","url":null,"abstract":"","PeriodicalId":35799,"journal":{"name":"Arboricultural Journal","volume":"5 1","pages":"255 - 257"},"PeriodicalIF":0.0,"publicationDate":"2023-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139324823","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kako Matsunaga, Ryosuke Atsukawa, Peng Xu, Nanako Killmann, N. G. Medina, Satoru Tanaka, Kojiro Suzuki, I. Rotherham
{"title":"Distribution of giant trees in the urban areas and western suburbs of Tokyo, Japan","authors":"Kako Matsunaga, Ryosuke Atsukawa, Peng Xu, Nanako Killmann, N. G. Medina, Satoru Tanaka, Kojiro Suzuki, I. Rotherham","doi":"10.1080/03071375.2023.2245671","DOIUrl":"https://doi.org/10.1080/03071375.2023.2245671","url":null,"abstract":"ABSTRACT Giant trees reflect site environmental conditions and to elucidate the distribution pattern of the giant trees, we investigated relationships between giant tree locations and landforms. On the basis of elevation, the landforms of Tokyo were divided into four types (lowland, plateau, hill, and mountain), and tree distribution patterns were divided into five groups, including three sub-types, with occurrence patterns of representative species [I: Frequently lowlands, often plateaux and mountain type (Machilus thunbergi); II: Frequently plateaux, often lowland, hill, or mountain type (Quercus acuta, Prunus speciosa, Taxodium distichum, Liriodendron tulipifera, Cedrus deodara, Aphananthe aspera, and Prunus × yedoensis “Somei-yoshino”) with two subtypes, II-1: Typically plateaux (Cinnamomum camphora, Castanopsis sieboldii, and Ginkgo biloba) and II-2: Frequently plateaux and hills (Zelkova serrata); III: Typically plateaux and hill type (Certis sinensis var. japonica, Torreya nucifera, Carpinus tschonoskii, Quercus myrsinifolia, and Quercus serrata) with one subtype, Frequently plateaux (Prunus jamasakura); IV: Mountains often with plateaux or hill type (Acer pictum subsp. mono, Aesculus turbinate, Abies firma, Cryptomeria japonica, and Cercidiphyllum japonicum); and V: Mountain-limited type (Castanea crenata, Pterocarya rhoifolia, and Fraxinus platypoda)]. Some giant trees, including Quercus crispula, Fagus japonica, Fagus crenata, and Tsuga sieboldii, were distributed in mountainous areas but not on plateaux, hills, or in lowlands. Some unique giant trees (Aphananthe aspera, Certis sinensis var. japonica, and Carpinus tschonoskii) are self-seeding in the wild and found in plateau areas but not mountainous or hilly areas. These results suggest that the distribution of giant trees is influenced by site ecological characteristics, tree physiology, and human management and land-use.","PeriodicalId":35799,"journal":{"name":"Arboricultural Journal","volume":"14 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91307966","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Babita Shrestha, B. K. Sharma, C. Baniya, R. Yadav
{"title":"Tree species richness and phytomass carbon stock along the urban-rural gradient in trees outside forests of Kathmandu valley, Nepal","authors":"Babita Shrestha, B. K. Sharma, C. Baniya, R. Yadav","doi":"10.1080/03071375.2023.2241812","DOIUrl":"https://doi.org/10.1080/03071375.2023.2241812","url":null,"abstract":"","PeriodicalId":35799,"journal":{"name":"Arboricultural Journal","volume":"337 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80665545","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Generic above-ground biomass estimator for urban forests using machine learning","authors":"Mirindra Finaritra Rabezanahary Tanteliniaina, Mihasina Harinaivo Andrianarimanana","doi":"10.1080/03071375.2023.2241972","DOIUrl":"https://doi.org/10.1080/03071375.2023.2241972","url":null,"abstract":"ABSTRACT Beyond urban trees’ aesthetic roles in urban landscapes, urban trees have significant environmental and ecological values such as carbon sequestration. In this study, machine learning (ML) namely Random Forest (RF), Extreme Gradient Boosting (XGBoost), and Support Vector Machine Regression (SVR) were used to develop generic AGB estimators for urban trees using the diameter at breast height, total height, and dry wood density of 1051 individual urban trees. The results from the ML were compared with the outputs from a generic allometric equation that was developed using a destructive method. The results showed that the ML represents a good alternative to the traditional destructive method with R2 above 0.9 during training, and R2 above 0.8 during testing. The RF and XGBoost performed better than SVR in the prediction of AGB. However, overall, the AGB predicted using ML was more accurate than the AGB estimated with a generic allometric equation. The generic AGB estimator improves urban forest management by providing an accurate AGB which can support decision-making and can be used for planning, carbon accounting, and monitoring as well as tree species selection and maintenance.","PeriodicalId":35799,"journal":{"name":"Arboricultural Journal","volume":"88 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76289747","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
P. K. Pati, P. Kaushik, Devanand Maurya, Chayan Adhikari, A. J. Bishwas, M. L. Khan, P. K. Khare
{"title":"Evaluating the role of roadside vegetation in atmospheric carbon dioxide mitigation: a case study","authors":"P. K. Pati, P. Kaushik, Devanand Maurya, Chayan Adhikari, A. J. Bishwas, M. L. Khan, P. K. Khare","doi":"10.1080/03071375.2023.2233868","DOIUrl":"https://doi.org/10.1080/03071375.2023.2233868","url":null,"abstract":"","PeriodicalId":35799,"journal":{"name":"Arboricultural Journal","volume":"25 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84020214","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
K. Sales, Hannah Walker, K. Sparrow, P. Handley, Madalena Vaz Monteiro, Kathryn L. Hand, Annabel Buckland, Alexander Chambers-Ostler, K. Doick
{"title":"The canopy cover Webmap of the United Kingdom’s towns and cities","authors":"K. Sales, Hannah Walker, K. Sparrow, P. Handley, Madalena Vaz Monteiro, Kathryn L. Hand, Annabel Buckland, Alexander Chambers-Ostler, K. Doick","doi":"10.1080/03071375.2023.2233864","DOIUrl":"https://doi.org/10.1080/03071375.2023.2233864","url":null,"abstract":"ABSTRACT Urban trees and other green infrastructure are advocated as a cost-effective sustainable solution to ameliorate the socio-economic and environmental challenges of urbanisation. UK research has only recently started to quantify urban trees. Tree canopy cover percentage (TCC) is a useful indicator of tree presence. Its estimation can be reproducible, simple, fast, and cost-effective; it can also be evaluated through citizen science, improving people’s appreciation for urban trees and widening the data collection resource pool. This research summarises a citizen science assessment of the TCC of the UK’s 5,749 urban wards. Descriptive statistics are presented spanning local authority to country. The area-weighted mean (and standard error) of TCC across urban wards was 17.3 ± 0.1%. Nationally, the TCC were 11.8 ± 0.5%, 15.7 ± 0.5%, 17.5 ± 0.2%, and 18.1 ± 0.5%, for Northern Ireland, Scotland, England, and Wales, respectively. Results show that only 27.6% of urban wards had a TCC higher than 20%, previously suggested as a minimum target for UK towns. The findings highlight substantial geographical variance in TCC equity, as well as a negative correlation between TCC and deprivation. This information will be of value in urban forest strategy and management.","PeriodicalId":35799,"journal":{"name":"Arboricultural Journal","volume":"116 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84920945","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Editorial: climate, extreme weather, and the need for community engagement with urban tree futures","authors":"I. Rotherham","doi":"10.1080/03071375.2023.2235941","DOIUrl":"https://doi.org/10.1080/03071375.2023.2235941","url":null,"abstract":"Long-standing climate changes are triggering more extreme weather events which are greater in intensity but also more frequent in occurrence. Whilst trees, particularly in urban and peri-urban areas, help moderate extreme weather and may even contribute to at least a slowing of some adverse changes, they are in turn threatened by storms, droughts, and floods. Responding to these pressures necessitates new approaches, and techniques to both reduce and sometimes to repair damage, and this is where arboricultural science and good practice come to the fore. Additionally, in order to improve best practice and to provide dissemination of novel ideas, and importantly to test them, communication is the key. Furthermore, this is increasingly necessary on a global scale, and hopefully, the Arboricultural Journal plays a vital role in this. However, the development of effective strategies to address the coming challenges for urban trees and especially for established trees which increasingly become urbanised and stressed, involves a host of variable stakeholders including NGOs. Moreover, with cash-strapped local authorities, the work of non-governmental organisations (NGOs) and of forest volunteers and tree wardens becomes more vital. These are all matters considered by the selection of papers for this issue of the Arboricultural Journal. Elton et al. (2023) have taken the eastern United States as a case-study region to examine urban forestry non-governmental organisations. They showed the importance of NGOs, of volunteers, and of strategic partnerships in delivering urban forestry, and especially in matters of awareness and communication to a wider public. Activities where this was the case included major tree-planting projects and in celebratory and educational events. In a paper that is relevant to this discussion, Danquah (2023), considered the perceptions of trees in urban areas held by landlords and owners of businesses. Concerns included root-damage to buildings and slippery surfaces caused by both fallen leaves and dropped fruit. Positive aspects of urban trees were felt to be the provision of edible fruits and nuts, improved health conditions, shade, and oxygen production by trees. Furthermore, in urban areas, protection from wind was important. It is useful to gain insight into attitudes and perceptions held by key stakeholders if effective, long-term strategies are to be implemented. As noted earlier, with changing climate, we are witnessing more extreme weather events, and these bring damage and risk. Potentially, in an urban area, the impacts of storm damage or other related impacts may decrease local resilience to long-term changes. Addressing responses to storm-damaged trees is discussed for the case-study area of New Jersey State (USA) by Greene and Greene (2023). They examined the damage to trees in storm-prone areas and considered possible actions to recover, remediate, or repair stormdamaged specimens. The approach and the ideas presented","PeriodicalId":35799,"journal":{"name":"Arboricultural Journal","volume":"224 1","pages":"177 - 178"},"PeriodicalIF":0.0,"publicationDate":"2023-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88377192","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}