Assessing Restoration Success of Inland Salt Marshes ( Tamarix chinensis ) Using Soil Labile Organic Carbon Fractions and Enzyme Activities

盐沼 总有机碳 环境化学 沼泽 环境科学 化学 土壤碳 碳纤维 盐(化学) 生态学 土壤有机质 湿地 土壤水分 农学 固碳 酶分析 土壤酶 有机质 盐生植物 微生物 生态系统 生物降解 盐度 农林复合经营 碳循环 土壤分类 溶解有机碳
作者
Yi-Xiang Wang,Jiayi Li,Bingjie Wang,Xiaowei Tang,X J Li
出处
期刊:Journal of Sustainable Forestry [Taylor & Francis]
卷期号:: 1-20
标识
DOI:10.1080/10549811.2026.2673935
摘要

Inland salt marshes have high carbon sequestration capacity but are highly vulnerable to land-use change. Afforestation is a biological assisted restoration strategy to mitigate wetland degradation, significantly impacting soil organic carbon and enzyme activity. However, the mechanisms underlying these effects remain unclear. This study investigated Tamarix chinensis plantations of different stand ages (3, 7, and 11 years) and adjacent secondary bare land (control) to examine the responses of labile organic carbon fractions and soil enzyme activities to stand age. The results showed that soil organic carbon and total nitrogen content gradually increased with stand age, while soil pH and electrical conductivity initially decreased and then increased with stand age. Compared to the control, the early stages of Tamarix chinensis establishment generally enhanced the content of three labile organic carbon fractions. Urease and peroxidase activities exhibited a continuous increase with plantation age. Conversely, sucrase and alkaline phosphatase activities peaked in the 7-year-old plantation and then declined gradually. Redundancy analysis identified electrical conductivity as the main driver of labile organic carbon variation, while both pH and electrical conductivity were key factors influencing enzyme activities. This study provides scientific references for the restoration and sustainable management of inland salt marshes in China.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
大白不白发布了新的文献求助10
刚刚
cc完成签到 ,获得积分10
刚刚
刚刚
1秒前
李爱国应助陈行采纳,获得10
2秒前
3秒前
Kevin完成签到,获得积分10
3秒前
3秒前
5秒前
5秒前
lll发布了新的文献求助10
5秒前
Wwww完成签到 ,获得积分10
5秒前
空Hongkong发布了新的文献求助10
6秒前
jiejie321完成签到,获得积分10
7秒前
风暴战斧完成签到,获得积分10
7秒前
7秒前
研友_VZG7GZ应助tuoeryao采纳,获得10
8秒前
Sucht完成签到,获得积分10
8秒前
童童发布了新的文献求助10
9秒前
10秒前
初景发布了新的文献求助10
10秒前
正月初九发布了新的文献求助10
10秒前
Zephyr完成签到,获得积分10
10秒前
海丽完成签到,获得积分10
10秒前
nana完成签到,获得积分10
11秒前
Stella发布了新的文献求助10
11秒前
bkagyin应助科研通管家采纳,获得10
12秒前
achilles发布了新的文献求助10
12秒前
赘婿应助科研通管家采纳,获得10
12秒前
情怀应助科研通管家采纳,获得10
12秒前
CodeCraft应助科研通管家采纳,获得10
12秒前
可爱的函函应助zyj采纳,获得10
12秒前
李健应助科研通管家采纳,获得10
13秒前
共享精神应助科研通管家采纳,获得10
13秒前
好好吃饭发布了新的文献求助10
13秒前
今后应助科研通管家采纳,获得10
13秒前
大个应助科研通管家采纳,获得10
13秒前
充电宝应助科研通管家采纳,获得10
13秒前
英姑应助等待的乐儿采纳,获得10
13秒前
李爱国应助科研通管家采纳,获得10
13秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
An Introduction to Foreign Language Learning and Teaching 750
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
What is the Future of Psychotherapy in Digital Age? Technology, AI Bots, and Psychotherapy after Covid 444
Synthesis of P-Chiral Phosphine Ligands and Their Applications in Asymmetric Catalysis 400
Management and the Arts 310
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7629695
求助须知:如何正确求助?哪些是违规求助? 9204039
关于积分的说明 19736866
捐赠科研通 7199107
什么是DOI,文献DOI怎么找? 3274298
关于科研通互助平台的介绍 2436445
邀请新用户注册赠送积分活动 2270463