Multiple herbivory pressures lead to different carbon assimilation and allocation strategies: Evidence from a perennial grass in a typical steppe in northern China

草原 多年生植物 食草动物 光合作用 生物 中国 碳同化 环境科学 植物 同化(音韵学) 铅(地质) 地理 生态学 语言学 哲学 古生物学 考古
作者
Zihe Zhang,Jirui Gong,Jiayu Shi,Xiaobing Li,Liangyuan Song,Weiyuan Zhang,Ying Li,Siqi Zhang,Jiaojiao Dong,Yingying Liu
出处
期刊:Agriculture, Ecosystems & Environment [Elsevier]
卷期号:326: 107776-107776 被引量:19
标识
DOI:10.1016/j.agee.2021.107776
摘要

Carbon (C) assimilation and allocation play a crucial role in determining plant responses to environmental stress such as herbivory. However, the pattern how these grasses allocate assimilated C under increasing herbivory intensity hasn't been fully understand. In this study, we quantified photosynthetic C assimilation and allocation of newly assimilated C among tissues and metabolic processes (structural growth, storage, and defense) under different grazing intensities using 13 C tracing of a dominant grass species, Leymus chinensis . Light grazing promoted utilization of newly-assimilated 13 C (more than 90% 13 C allocated to aboveground tissues on first day after labeling), photosynthetic rate, and reduced mean residence time of 13 C of L. chinensis . The photosynthetic capacity and regulation of chlorophyll fluorescence thereby C assimilation were constrained under medium and heavy grazing. Light grazing also increased accumulation of non-structural carbohydrates (NSC) in stems for energy supply to leaf regeneration. As herbivory pressure increased, 13 C tracing showed preferential allocation of newly assimilated C to belowground tissues (16–27% 13 C on first day after labeling), while upregulating leaf defenses by increasing secondary metabolites and in root storage by NSC accumulation. Although the significant changes showed in C allocation to storage and secondary metabolism of L. chinensis , there are no difference in structural growth (defined as structural biomass= biomass - NSC – secondary metabolites) among grazing intensities. Overall, L. chinensis adopted a conservative C-allocation strategy (upregulated C storage and secondary metabolism) that emphasized long-term survival under increasing herbivory. Light grazing was an optimal grazing intensity that promoted structural growth and C allocation of L. chinensis , which could sustain and even increase grassland productivity. These characteristics of the plant’s C allocation strategy provide new insights into the C budget of grassland ecosystems and increase our understanding of the role of C fixation and partitioning when plants respond to environmental challenges. • Carbon (C) assimilation and allocation was evaluated by 13 C tracing technique. • More 13 C allocated to aboveground tissues for photosynthesis under light grazing. • Light grazing promoted C fixation and turnover of leaves and NSC storage of stems. • Under grazing pressure L. chinensis increased NSC storage across organs. • The production of SM increased in leaves as increasing herbivory pressure.
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
大勺完成签到 ,获得积分10
刚刚
明理的凡霜完成签到,获得积分10
刚刚
sqb完成签到,获得积分10
1秒前
曾经曼梅发布了新的文献求助10
1秒前
1秒前
无极微光应助瘦瘦采纳,获得20
1秒前
连长发布了新的文献求助10
1秒前
Pooh发布了新的文献求助10
1秒前
LYDZ2发布了新的文献求助10
1秒前
2秒前
2秒前
啊棕完成签到,获得积分10
3秒前
SciGPT应助Ttttt采纳,获得10
3秒前
4秒前
dudu完成签到,获得积分10
5秒前
6秒前
无极微光应助婷123采纳,获得20
7秒前
7秒前
多情的奄完成签到,获得积分10
7秒前
情怀应助小乙大夫采纳,获得10
7秒前
Jinnnnn发布了新的文献求助10
7秒前
满天星完成签到,获得积分10
8秒前
TingtingGZ发布了新的文献求助10
9秒前
清河聂氏发布了新的文献求助10
9秒前
pluto应助曾经曼梅采纳,获得10
9秒前
10秒前
丘比特应助自由的尔蓉采纳,获得10
10秒前
孙子豪完成签到,获得积分10
11秒前
12秒前
852应助Lchemistry采纳,获得10
12秒前
量子星尘发布了新的文献求助10
12秒前
12秒前
星辰大海应助动听的寻芹采纳,获得10
12秒前
13秒前
顾矜应助小佳同学采纳,获得10
13秒前
古灵井盖完成签到,获得积分10
13秒前
雄鹰般的女子完成签到,获得积分10
13秒前
14秒前
黄金城完成签到,获得积分10
14秒前
无敌大番茄完成签到,获得积分10
15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
Translanguaging in Action in English-Medium Classrooms: A Resource Book for Teachers 700
Exploring Nostalgia 500
Natural Product Extraction: Principles and Applications 500
Exosomes Pipeline Insight, 2025 500
Qualitative Data Analysis with NVivo By Jenine Beekhuyzen, Pat Bazeley · 2024 500
Advanced Memory Technology: Functional Materials and Devices 400
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5667160
求助须知:如何正确求助?哪些是违规求助? 4884250
关于积分的说明 15118778
捐赠科研通 4826049
什么是DOI,文献DOI怎么找? 2583692
邀请新用户注册赠送积分活动 1537843
关于科研通互助平台的介绍 1496006