Assessing the vulnerability of urban tree species to climate change: The case study of Lisbon gardens

IF 6.7 2区 环境科学与生态学 Q1 ENVIRONMENTAL STUDIES Urban Forestry & Urban Greening Pub Date : 2025-02-01 Epub Date: 2024-12-31 DOI:10.1016/j.ufug.2024.128664
Ana Raquel Cunha , Ana Luísa Soares , Sílvia Catarino , Maria Cristina Duarte , Maria M. Romeiras
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Abstract

To mitigate the effects of climate change on urban green spaces, adaptive strategies are required, particularly regarding tree species. Lisbon is a most vulnerable city to extreme climate events and the performance and management of the numerous and diverse trees found in its gardens and parks are of much concern. We evaluated the vulnerability of such trees to predicted future Lisbon climates using the Climate Assessment Tool (Climate Change Alliance of Botanic Gardens, 2024) and inventories from 63 historical gardens and parks, including three botanical gardens. With the extensive information of the latter we: (i) identified and classified the species according to biogeographical origins; (ii) pinpointed those most vulnerable to, or favoured by climate change; and (iii) assessed the vulnerability of each studied site, according to the species present, their risk level and abundance. Among the selected 318 taxa (corresponding to 19,579 trees), the Palaearctic biogeographical region predominates. The highest risk levels were found in 50 % (77 %, for the most pessimistic climate scenario) of the Palaearctic species, which include many native taxa. Conversely, about 56 % of the Neotropical species are predicted to perform better under the worst climate change scenario. Only one of the ten most abundant tree species in Lisbon – Jacaranda mimosifolia – might remain invulnerable. Management plans for most Lisbon green spaces must therefore reexamine the use of Palaearctic species and tackle challenging adjustments, including the gradual replacement of familiar species (increasingly more difficult to maintain) by others with better performance under future climate conditions.
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评估城市树种对气候变化的脆弱性:里斯本花园的案例研究
为了减轻气候变化对城市绿地的影响,需要采取适应性策略,特别是树种。里斯本是一个最容易受到极端气候事件影响的城市,其花园和公园中众多多样的树木的表现和管理备受关注。我们使用气候评估工具(植物园气候变化联盟,2024年)和来自63个历史花园和公园(包括三个植物园)的清单,评估了这些树木对预测未来里斯本气候的脆弱性。利用后者的大量资料,我们:(i)根据生物地理起源对物种进行鉴定和分类;(ii)确定最易受气候变化影响或最受气候变化影响的群体;(3)根据物种的存在、风险水平和丰度,对每个研究地点的脆弱性进行评估。318个分类群(对应树木19,579棵)中,古北生物地理区占主导地位。在包括许多本地分类群的古北物种中,发现最高风险水平为50% %(在最悲观的气候情景中为77% %)。相反,约56% %的新热带物种预计在最坏的气候变化情景下表现更好。在里斯本最丰富的十种树种中,只有一种——含羞草蓝花楹(Jacaranda mimosifolia)可能不会受到伤害。因此,里斯本大多数绿地的管理计划必须重新审视古北极物种的使用,并应对具有挑战性的调整,包括在未来气候条件下,用其他性能更好的物种逐渐取代熟悉的物种(越来越难以维持)。
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来源期刊
CiteScore
11.70
自引率
12.50%
发文量
289
审稿时长
70 days
期刊介绍: Urban Forestry and Urban Greening is a refereed, international journal aimed at presenting high-quality research with urban and peri-urban woody and non-woody vegetation and its use, planning, design, establishment and management as its main topics. Urban Forestry and Urban Greening concentrates on all tree-dominated (as joint together in the urban forest) as well as other green resources in and around urban areas, such as woodlands, public and private urban parks and gardens, urban nature areas, street tree and square plantations, botanical gardens and cemeteries. The journal welcomes basic and applied research papers, as well as review papers and short communications. Contributions should focus on one or more of the following aspects: -Form and functions of urban forests and other vegetation, including aspects of urban ecology. -Policy-making, planning and design related to urban forests and other vegetation. -Selection and establishment of tree resources and other vegetation for urban environments. -Management of urban forests and other vegetation. Original contributions of a high academic standard are invited from a wide range of disciplines and fields, including forestry, biology, horticulture, arboriculture, landscape ecology, pathology, soil science, hydrology, landscape architecture, landscape planning, urban planning and design, economics, sociology, environmental psychology, public health, and education.
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