Functional traits and ecosystem services across urban greenery, urban forests, and forests in nature-based solutions: A review

IF 8.5 2区环境科学与生态学 Q1 ECOLOGY

Ecological Informatics Pub Date : 2026-08-01 Epub Date: 2026-07-19 DOI:10.1016/j.ecoinf.2026.103943

Margherita Paladini, Bruno Lasserre, Mario Pagano, Alessio Giovannelli, Claudia Cocozza

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引用次数: 0

Abstract

Understanding how plant functional traits influence ecosystem functioning is essential for implementing effective nature-based solutions in both urban and forest contexts. In this study, 80 papers (12.1% of the initially identified literature) were systematically reviewed using the SPIDER selection method to examine how traits mediate resilience, adaptation, and ecosystem service delivery across urban greenery, urban forests, and forests. The analysis revealed that functional traits mediate the relationship between biodiversity and ecosystem service provision, and that their expression is strongly context-dependent, shaped by management intensity, species selection, and environmental stressors. The discussion highlights the importance of trait-based approaches for restoration planning, urban forestry, and ecosystem management, underscoring the need for standardized measurements, mechanistic models, and long-term monitoring to optimize ecosystem service delivery and strengthen resilience.

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基于自然的解决方案中城市绿化、城市森林和森林的功能特征和生态系统服务：综述

了解植物功能性状如何影响生态系统功能对于在城市和森林环境中实施有效的基于自然的解决方案至关重要。在这项研究中，使用蜘蛛选择方法系统地回顾了80篇论文（占最初确定文献的12.1%），以研究性状如何调节城市绿地、城市森林和森林的恢复力、适应和生态系统服务提供。分析表明，功能性状在生物多样性和生态系统服务提供之间起着中介作用，其表达受管理强度、物种选择和环境胁迫因素的影响，具有强烈的环境依赖性。讨论强调了基于特征的方法在恢复规划、城市林业和生态系统管理中的重要性，强调了标准化测量、机制模型和长期监测的必要性，以优化生态系统服务提供和增强复原力。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Ecological Informatics 环境科学-生态学

CiteScore

8.30

自引率

11.80%

发文量

346

审稿时长

46 days

期刊介绍： The journal Ecological Informatics is devoted to the publication of high quality, peer-reviewed articles on all aspects of computational ecology, data science and biogeography. The scope of the journal takes into account the data-intensive nature of ecology, the growing capacity of information technology to access, harness and leverage complex data as well as the critical need for informing sustainable management in view of global environmental and climate change. The nature of the journal is interdisciplinary at the crossover between ecology and informatics. It focuses on novel concepts and techniques for image- and genome-based monitoring and interpretation, sensor- and multimedia-based data acquisition, internet-based data archiving and sharing, data assimilation, modelling and prediction of ecological data.