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从低碳角度综合评价与分析盐碱地区公园绿地木本植物的应用——以天津桥园公园为例。

Comprehensive evaluation and application of woody plants in the green spaces of parks in saline-Alkaline areas from a low-carbon perspective: A case study of Tianjin Qiaoyuan Park.

机构信息

College of Architecture, Tianjin University, Tianjin, 300072, China.

出版信息

PLoS One. 2024 May 10;19(5):e0303341. doi: 10.1371/journal.pone.0303341. eCollection 2024.

DOI:10.1371/journal.pone.0303341
PMID:38728347
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11086879/
Abstract

The field of landscape architecture has placed significant emphasis on low-carbon landscapes due to the increasing challenges posed by global warming and environmental deterioration in recent years. The soil ecological conditions in saline-alkaline areas are characterized by poor quality, resulting in suboptimal growth conditions for trees. This, in turn, hampers their ability to effectively sequester carbon, thereby diminishing the potential benefits of carbon sinks. Additionally, the maintenance of tree landscapes in such areas generates more carbon emissions than does conventional green land, making it difficult to reap the benefits of tree-based carbon. A comprehensive evaluation of trees in green park spaces in saline-alkaline areas is conducted from a low-carbon perspective; by identifying the dominant tree species that are well suited to greening, we can offer a precise scientific foundation for implementing low-carbon greening initiatives in cities situated in saline-alkaline environments. Therefore, as a case study, this study investigates Tianjin Qiaoyuan Park, a typical saline park in the Bohai Bay region. The hierarchical analysis method (AHP) was used to evaluate 50 species of trees and shrubs in the park from a low-carbon perspective. The results show that the evaluation system consists of four criterion layers and 15 indicator factors. The relative weight of the criterion layer followed the order of habitat adaptability (B2) > carbon sequestration capacity (B1) > low-carbon management and conservation (B3) > landscape aesthetics (B4). The indicator layer assigned greater weight values to net assimilation (C1), saline and alkaline adaptability (C3), drought tolerance (C4), irr igation and fertilization needs (C8), growth rate (C2), and adaptability to barrenness (C5). The trees were classified into five distinct categories, with each exhibiting significant variation in terms of the strengths and weaknesses of the indicators. According to the comprehensive score, the trees were categorized into three levels. The Grade I plants exhibited the best carbon efficiency performance, comprising a total of 12 species (e.g. Sabina chinensis, Fraxinus chinensis 'Aurea' and Hibiscus syriacu), and demonstrated superior performance in all aspects. Grade II trees, consisting of 26 species (e.g Pinus tabuliformis, Paulownia fortunei, Ligustrum × vicaryi), had the second-highest comprehensive score. Moreover, Grade III trees, encompassing 12 species (e.g Acer mono, Cedrus deodara, Magnolia denudata), exhibited lower comprehensive scores. The extensive use of Grade I and II tree species is recommended in the implementation of low-carbon greening projects in the Bohai Bay region, while Grade III tree species should be judiciously utilized. The findings of this research can serve as a valuable resource for the scientific identification of tree species that are suitable for urban park green spaces in the Bohai Bay region, which is characterized by predominantly saline and alkaline soil. Additionally, the development of an evaluation system can guide the selection of low-carbon tree species when evaluating other types of saline and alkaline lands.

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cdf6/11086879/643051baa2a7/pone.0303341.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cdf6/11086879/ffbfe76314f0/pone.0303341.g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cdf6/11086879/a70a1286f251/pone.0303341.g003.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cdf6/11086879/48eb1b4b0c04/pone.0303341.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cdf6/11086879/3054dac42d10/pone.0303341.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cdf6/11086879/643051baa2a7/pone.0303341.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cdf6/11086879/ffbfe76314f0/pone.0303341.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cdf6/11086879/01294eacb6e2/pone.0303341.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cdf6/11086879/a70a1286f251/pone.0303341.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cdf6/11086879/062916e90a01/pone.0303341.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cdf6/11086879/48eb1b4b0c04/pone.0303341.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cdf6/11086879/3054dac42d10/pone.0303341.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cdf6/11086879/643051baa2a7/pone.0303341.g007.jpg
摘要

近年来,由于全球气候变暖以及环境恶化带来的日益严峻的挑战,风景园林领域越来越重视低碳景观。盐碱地区的土壤生态条件较差,导致树木生长条件不佳。这反过来又影响了它们有效固碳的能力,从而降低了碳汇的潜在效益。此外,在这些地区维护树木景观所产生的碳排放量比传统绿地更多,因此难以获得基于树木的碳收益。本研究从低碳的角度对盐碱地区公园绿地中的树木进行了全面评价,通过确定适用于绿化的优势树种,为在盐碱环境城市实施低碳绿化措施提供了精确的科学依据。因此,本研究以天津桥园公园为例,该公园位于渤海湾地区,是一个典型的盐碱公园。采用层次分析法(AHP)对公园内 50 种乔灌木从低碳的角度进行了评价。结果表明,评价体系由 4 个准则层和 15 个指标因子组成。准则层的相对权重依次为:生境适应性(B2)>碳固存能力(B1)>低碳管理与保护(B3)>景观美学(B4)。指标层赋予净同化(C1)、盐碱适应性(C3)、耐旱性(C4)、灌溉和施肥需求(C8)、生长速度(C2)和贫瘠适应性(C5)更高的权重值。树木被分为五个不同的类别,每个类别在指标的强弱方面都有显著的差异。根据综合得分,树木被分为三个等级。一级植物的碳效率表现最佳,共包括 12 种(如侧柏、金叶榆和木槿),在各个方面的表现都很出色。二级树木共有 26 种(如油松、泡桐、女贞),综合得分次之。此外,三级树木共有 12 种(如五角枫、雪松、白玉兰),综合得分较低。建议在渤海湾地区实施低碳绿化项目时广泛使用一、二级树木种类,谨慎使用三级树木种类。本研究结果可为渤海湾地区城市公园绿地中适宜树种的科学鉴定提供有价值的参考,该地区土壤以盐碱为主。此外,该评价体系的开发可为评价其他类型的盐碱地时低碳树种的选择提供指导。

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