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放牧和气候因素对草地生态系统生物多样性-生态系统功能关系的影响——以中国内蒙古典型草原为例

Effect of grazing and climatic factors on biodiversity-ecosystem functioning relationships in grassland ecosystems - a case study of typical steppe in Inner Mongolia, China.

作者信息

Zhang Yiran, Liu Pengtao, Fan Ruyue, Guo Jing, Liu Li, Ding Yong

机构信息

Inner Mongolia Key Laboratory of Grassland Conservation Ecology, Grassland Research Institute, Chinese Academy of Agricultural Sciences, Hohhot, China.

Graduate School of Chinese Academy of Agricultural Sciences, Beijing, China.

出版信息

Front Plant Sci. 2023 Dec 22;14:1297061. doi: 10.3389/fpls.2023.1297061. eCollection 2023.

DOI:10.3389/fpls.2023.1297061
PMID:38186605
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10770857/
Abstract

Biodiversity underpins grassland ecological functions and productive capacities. By studying the mechanisms for the maintenance of species diversity in animal communities, we can provide important theoretical guidance for the optimization of grazing management and biodiversity protection. The typical grassland of Xilingol in Inner Mongolia, China, was used as the experimental area, and a grazing intensity experiment was set up. This consisted of four gradient levels that were grazed by sheep, which were available for continuous monitoring, namely control standard sheep unit·day·hectare·year (CK, 0 SSU·d·hmy), light grazing (LG, 170 SSU·d·hm·y), moderate grazing (MG, 340 SSU·d·hm·y), and high grazing (HG, 510 SSU·d·hm·y). Nine consecutive years of multi-indicator monitoring of vegetation was carried out from 2014-2022, using monitoring data coupled with time series and inter-annual climatic (relative moisture index, RMI) fluctuations. This was done to analyze the impacts of disturbances, such as grazing use and climatic fluctuations, on the diversity of species and above-ground productivity of the community, thereby exploring the relationship between diversity and productivity, and provide possible explanations for the emergence of a range of ecological responses. The statistical analysis methods used were One-way Analysis of Variance (ANOVA), general linear regression and mixed-effects models. The main conclusions of this study are as follows: (1) The grassland in the experimental area under CK had the highest diversity and productivity and the ecosystem was better able to buffer the negative impacts of climatic drought. Furthermore, the effect of climate on productivity and diversity weakened as the intensity of grazing increased. (2) LG to MG had a constant diversity. (3) Grazing utilization changed the relationship between community species diversity and aboveground productivity by releasing spatial community resources, altering the structure of plant communities, weakening competitive exclusion, and strengthening complementary effects. However, under all of the conditions there is a brief stage in the time series when diversity is stimulated to increase, and the higher the grazing intensity, the earlier this occurs.

摘要

生物多样性是草原生态功能和生产能力的基础。通过研究动物群落物种多样性维持机制,可为优化放牧管理和生物多样性保护提供重要理论指导。以内蒙古锡林郭勒典型草原为试验区,设置放牧强度试验。试验设四个梯度水平,由绵羊进行放牧,可供连续监测,即对照标准羊单位·天·公顷·年(CK,0 羊单位·天·公顷·年)、轻度放牧(LG,170 羊单位·天·公顷·年)、中度放牧(MG,340 羊单位·天·公顷·年)和重度放牧(HG,510 羊单位·天·公顷·年)。2014 年至 2022 年连续九年对植被进行多指标监测,利用监测数据结合时间序列和年际气候(相对湿度指数,RMI)波动,分析放牧利用和气候波动等干扰对群落物种多样性和地上生产力的影响,进而探究多样性与生产力之间的关系,并为一系列生态响应的出现提供可能解释。采用的统计分析方法为单因素方差分析(ANOVA)、一般线性回归和混合效应模型。本研究主要结论如下:(1)试验区 CK 条件下的草原具有最高的多样性和生产力,生态系统对气候干旱负面影响的缓冲能力更强。此外,随着放牧强度增加,气候对生产力和多样性的影响减弱。(2)LG 至 MG 多样性保持恒定。(3)放牧利用通过释放空间群落资源、改变植物群落结构、减弱竞争排斥和增强互补效应,改变了群落物种多样性与地上生产力之间的关系。然而,在所有条件下,时间序列中都有一个短暂阶段,此时多样性被刺激增加,放牧强度越高,出现越早。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f7b/10770857/001ba7e33a79/fpls-14-1297061-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f7b/10770857/b3fb8b842ebf/fpls-14-1297061-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f7b/10770857/426a520c2e07/fpls-14-1297061-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f7b/10770857/97b94d523c94/fpls-14-1297061-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f7b/10770857/cb91c827a7a6/fpls-14-1297061-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f7b/10770857/2a15a9db9731/fpls-14-1297061-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f7b/10770857/080567782dd9/fpls-14-1297061-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f7b/10770857/5d91b98632a9/fpls-14-1297061-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f7b/10770857/001ba7e33a79/fpls-14-1297061-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f7b/10770857/b3fb8b842ebf/fpls-14-1297061-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f7b/10770857/426a520c2e07/fpls-14-1297061-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f7b/10770857/97b94d523c94/fpls-14-1297061-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f7b/10770857/cb91c827a7a6/fpls-14-1297061-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f7b/10770857/2a15a9db9731/fpls-14-1297061-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f7b/10770857/080567782dd9/fpls-14-1297061-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f7b/10770857/5d91b98632a9/fpls-14-1297061-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f7b/10770857/001ba7e33a79/fpls-14-1297061-g008.jpg

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