城市环境中选定树种叶面积指数（LAI）的时空动态

IF 6 2区环境科学与生态学 Q1 ENVIRONMENTAL STUDIES

Urban Forestry & Urban Greening Pub Date : 2025-03-28 DOI:10.1016/j.ufug.2025.128795

Astrid Moser-Reischl , Eleonora Franceschi , Mohammad A. Rahman , Julia Rodrigues-Leite , Hans Pretzsch , Stephan Pauleit , Thomas Rötzer

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引用次数: 0

摘要

了解树木的叶生物量、叶面积或叶面积指数（LAI）是精确估算其生态系统服务的重要前提。然而，LAI数据的可获得性有限，尤其是城市树木的数据，而包括场地条件、树木大小和活力或季节变化在内的影响几乎不为人所知，通常不被考虑。本研究的目的是：(i)建立一个15个城市树种树型LAI的综合数据库；（ii）利用半球面摄影技术对6个树种的100多棵树的季节LAI数据进行树种特征和位置的评价。此外，（iii）分析了叶片出芽数据，并与德国气象局（DWD）的数据进行了比较，以得出更广泛的生态趋势。我们的结果表明，LAI随着尺寸的增加而增加。茎粗最大时LAI最高，桔梗最高（最大LAI 4.7），三棘皂荚最低（最大LAI 2.4）。此外，我们还发现，受光照需求、发芽类型、木材解剖结构和叶片密度等物种特征的影响，LAI的季节性发育和叶片出芽存在显著差异。叶型表现为从春季枝面积指数（BAI）为0.3，到夏季最大叶面积指数（LAI）为4.0，再到秋冬季叶面积指数（BAI /LAI）为0.5的急剧上升过程。土壤封闭对LAI的影响不明显，但有统计学意义。该研究强调，半球图像方法可以很容易地应用于单个城市树木，并且可以支持生态系统服务的精确计算。但是，数据处理存在一定的不足，需要对结果进行修正因子调整。

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Spatial and temporal dynamics of the leaf area index (LAI) of selected tree species in urban environments

Knowledge about a tree’s leaf biomass, leaf area or leaf area index (LAI) are important prerequisites for deriving precise estimates of its ecosystem services. However, data availability on LAI is limited especially for urban trees, and influences including site conditions, tree size and vitality or seasonal changes are hardly known and usually not considered. The aims of this study are (i) to present a comprehensive database of LAI data over tree size for 15 urban tree species, and (ii) to evaluate seasonal LAI data for over 100 trees of six species in relation to species traits and location with hemispherical photography. Further, (iii) data on leaf emergence were analyzed and compared with data from the German Weather Service (DWD) to derive broader ecological trends. Our results showed that LAI increases with size. The highest LAI was observed at maximum stem diameter, with Tilia cordata showing the highest (maximum LAI 4.7) and Gleditsia triacanthos the lowest values (maximum LAI 2.4). Furthermore, we found significant differences in seasonal LAI development and leaf emergence, influenced by species traits like light requirements, sprouting type, wood anatomy and foliage density. Leaf patterns followed the typical course of a steep increase from branch area index (BAI) values of 0.3 in spring to a maximum LAI of 4.0 in summer and autumn/winter values of 0.5 BAI/LAI. The influence of soil sealing on LAI was less pronounced, albeit statistically significant. The study highlights that the hemispheric image method can be applied easily to individual urban trees and can support a precise calculation of ecosystem services. However, the data processing has some weaknesses, and the results should be adjusted with a correction factor.

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来源期刊

Urban Forestry & Urban Greening FORESTRY-

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.