Suppr超能文献

针叶林对离子的吸附和净化能力强于阔叶林。

The capacity of ion adsorption and purification for coniferous forests is stronger than that of broad-leaved forests.

机构信息

State Key Laboratory of Grassland and Agro-Ecosystems, School of Life Sciences, Lanzhou University, Lanzhou, Gansu 730000, China; Gansu provincial field scientific observation and research station of mountain ecosystems, Lanzhou University, Lanzhou, Gansu 730000, China.

State Key Laboratory of Grassland and Agro-Ecosystems, School of Life Sciences, Lanzhou University, Lanzhou, Gansu 730000, China; Gansu provincial field scientific observation and research station of mountain ecosystems, Lanzhou University, Lanzhou, Gansu 730000, China.

出版信息

Ecotoxicol Environ Saf. 2021 Jun 1;215:112137. doi: 10.1016/j.ecoenv.2021.112137. Epub 2021 Mar 16.

Abstract

In the past few decades, industrialization has caused a large number of pollutants to be released into the atmosphere. Forest ecosystems play an important function in regulating the biogeochemistry and the circulation of metal ions pollutants. Forest ecosystems affect the absorption of pollutants and dissolution of nutrients from the atmosphere and vegetation canopy, thereby influencing the content and composition of forest floor leachate and soil solution. This study examined changes in acid anions (NO, SO, Cl) and metal cations (K, Ca, Na, Mg, Fe, Pb, Cu, Cd) in rainfall, throughfall, stemflow, and forest floor leachate for five different forests (Larix principis-rupprechtii, Picea wilsonii, Picea crassifolia, Betula platyphylla and Rhododendron communities). The results showed that the enrichment capacity of acid anions and metal cations in the vegetation canopy of the coniferous forests (L. principis-rupprechtii, P. wilsonii, P. crassifolia) was stronger than that of the broad-leaved forests (B. platyphylla and Rhododendron communities). The content of acid anions and metal cations in stemflow of coniferous forests were 3.7-5.6 times and 0-9.3 times higher than those of broad-leaved forests, respectively. Corresponding values in throughfall were 1-1.4 times and 0.3-2.4 times, respectively The contents of NO, Cl, K, Mg, Fe, Pb, Cu, and Cd in leachate filtered from the soil layers that are deepening gradually showed consistent decreasing trend for all the forest stands. In addition, NO, Cl, K, Mg, Fe, and Pb were also concentrated in the topsoil except for Cu and Cd. Nevertheless, SO and Na were concentrated in the subsoil, whereas Ca was concentrated in the upper soil layers. Soil organic carbon (SOC) and total nitrogen (TN) contents in coniferous forest stands were 20-37% and 34-63% higher than those in broad-leaved forest stands, respectively. This results also shown that the contents of OC and TN has a strong correlation with the content of partial metal cations in soil and litter, indicating that coniferous forest stands had stronger ion scavenging and adsorption capacity in soil layer and litter layer than broad-leaved forest stands. Therefore, L. principis-rupprechtii, P. wilsonii, P. crassifolia had higher air pollutant adsorption and soil pollution remediation capacities than the other two forests. Thus, we recommend planting coniferous tree species (L. principis-rupprechtii, P. wilsonii and P. crassifolia) for eco-rehabilitation and water purification to improve the ecological service function of forest ecosystems.

摘要

在过去几十年中,工业化导致大量污染物释放到大气中。森林生态系统在调节金属离子污染物的生物地球化学循环方面起着重要作用。森林生态系统影响大气和植被冠层中污染物的吸收和养分的溶解,从而影响森林地被物淋溶和土壤溶液的含量和组成。本研究考察了 5 种不同森林(落叶松、云南铁杉、粗枝云杉、白桦和杜鹃群落)降雨、穿透雨、茎流和森林地被物淋溶中酸阴离子(NO、SO、Cl)和金属阳离子(K、Ca、Na、Mg、Fe、Pb、Cu、Cd)的变化。结果表明,针叶林(落叶松、云南铁杉、粗枝云杉)植被冠层对酸阴离子和金属阳离子的富集能力强于阔叶林(白桦和杜鹃群落)。针叶林茎流中酸阴离子和金属阳离子的含量分别比阔叶林高 3.7-5.6 倍和 0-9.3 倍,穿透雨中的含量分别为 1-1.4 倍和 0.3-2.4 倍。所有林分土壤层逐渐加深的淋溶液中,NO、Cl、K、Mg、Fe、Pb、Cu 和 Cd 的含量均呈一致下降趋势。此外,除了 Cu 和 Cd 外,NO、Cl、K、Mg、Fe 和 Pb 也集中在表土中。然而,SO 和 Na 集中在亚层土壤中,而 Ca 集中在上层土壤中。针叶林林分土壤有机碳(SOC)和全氮(TN)含量分别比阔叶林林分高 20-37%和 34-63%。这一结果还表明,OC 和 TN 的含量与土壤和凋落物中部分金属阳离子的含量具有很强的相关性,这表明针叶林林分比阔叶林林分具有更强的离子清除和吸附能力。因此,落叶松、云南铁杉和粗枝云杉比其他两种森林具有更高的空气污染物吸附和土壤污染修复能力。因此,我们建议种植针叶树种(落叶松、云南铁杉和粗枝云杉)进行生态修复和水净化,以提高森林生态系统的生态服务功能。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验