Systematic loss in biotic heterogeneity but not biodiversity across multiple trophic levels in Erhai lake, China

营养水平 生态学 生物多样性 生态系统 营养级联 环境科学 营养状态指数 湖泊生态系统 中红细胞释放假说 生物 硅藻 食物网 富营养化 营养物 顶级掠食者
作者
Wenxiu Zheng,Enlou Zhang,Peter G. Langdon,Rong Wang
出处
期刊:Science of The Total Environment [Elsevier]
卷期号:906: 167479-167479 被引量:2
标识
DOI:10.1016/j.scitotenv.2023.167479
摘要

Anthropogenic disturbances and climate change have significantly altered the biotic composition across many ecosystems, leading to changes in biodiversity and even ecological collapse. An ecosystem comprises multiple trophic levels, and the issue how these disturbances affect their assembly processes remains unclear. Ecological stability of assemblages was maintained by their structure, and thus, revealing structure changes across trophic levels could improve our understanding of how ecosystems response to disturbances as a whole. In this study, we combined methods from palaeolimnology, ecology and network analysis, and observed the changes of biodiversity and network structure of two trophic levels (algae - diatoms and zoobenthos - chironomids) in Erhai lake, Southwest China over the last century. Results showed nutrient enrichment induced shifts in diatom and chironomid assemblages at ∼2001 CE, suggesting that the shift in Erhai lake may have occurred at multiple trophic levels. We found biodiversity exhibit different trends across trophic levels as it decreased in diatoms but increased in chironomids. However, network skewness declined in both trophic levels, indicating the common loss of biotic heterogeneity. The consistent decline of skewness among trophic levels long before the compositional shift is a potential parameter to warn of the shifts in lake ecosystems.

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
Raojas完成签到,获得积分10
刚刚
赘婿应助十三月采纳,获得10
1秒前
1秒前
肆4完成签到 ,获得积分10
1秒前
1秒前
1秒前
1秒前
搬砖民工完成签到,获得积分10
2秒前
2秒前
2秒前
3秒前
科研通AI6.1应助liuliu采纳,获得10
3秒前
想跟这个世界讲个道理完成签到,获得积分10
3秒前
3秒前
深情安青应助小鱼采纳,获得10
3秒前
4秒前
今后应助简单采纳,获得10
4秒前
4秒前
Maxstein完成签到,获得积分10
4秒前
完美世界应助逆旅如行人采纳,获得30
5秒前
yyinh完成签到 ,获得积分10
5秒前
理想发布了新的文献求助10
5秒前
5秒前
在水一方应助温暖从梦采纳,获得10
5秒前
万能图书馆应助小明采纳,获得10
5秒前
曾经的语堂完成签到,获得积分10
6秒前
6秒前
gcggcgch发布了新的文献求助10
6秒前
6秒前
6秒前
小龙完成签到,获得积分10
7秒前
YANG应助大虫子采纳,获得10
7秒前
7秒前
高大的凛发布了新的文献求助10
7秒前
7秒前
ADiao完成签到,获得积分20
7秒前
欢喜完成签到 ,获得积分10
7秒前
我是老大应助zf采纳,获得10
8秒前
猪猪女孩发布了新的文献求助20
8秒前
郝好发布了新的文献求助10
8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
Kinesiophobia : a new view of chronic pain behavior 3000
Les Mantodea de guyane 2500
Molecular Biology of Cancer: Mechanisms, Targets, and Therapeutics 2000
Signals, Systems, and Signal Processing 510
Discrete-Time Signals and Systems 510
Clinical Electromyography 500
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 5946151
求助须知:如何正确求助?哪些是违规求助? 7102829
关于积分的说明 15902602
捐赠科研通 5078350
什么是DOI,文献DOI怎么找? 2730809
邀请新用户注册赠送积分活动 1690834
关于科研通互助平台的介绍 1614738