The responses of photosynthetic rate of dominant species to extreme drought in Inner Mongolia grasslands

Author:

Shi Yalong12ORCID,Cao Yuanbo3,Wu Honghui12,Xu Chong12,Yu Qiang4,Zuo Xiaoan5,Han Xingguo6,Smith Melinda D7ORCID,Knapp Alan K7,Wang Chengjie8,Han Guodong8

Affiliation:

1. Chinese Academy of Agricultural Sciences State Key Laboratory of Efficient Utilization of Arid and Semi-arid Arable Land in Northern China, Institute of Agricultural Resources and Regional Planning, , Beijing 100081 , China

2. Chinese Academy of Agricultural Sciences Key Laboratory of Arable Land Quality Monitoring and Evaluation, Ministry of Agriculture and Rural Affairs, Institute of Agricultural Resources and Regional Planning, , Beijing 100081 , China

3. China Rida Investment and Development Group Corp Ltd , Beijing 100040 , China

4. Beijing Forestry University School of Grassland Science, , Beijing 100083 , China

5. Chinese Academy of Sciences Urat Desert-grassland Research Station, Northwest Institute of Eco-Environment and Resources, , Lanzhou 730000 , China

6. Chinese Academy of Sciences State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, , Beijing 100093 , China

7. Colorado State University Department of Biology and Graduate Degree Program in Ecology, , Fort Collins, CO 80523 , USA

8. Inner Mongolia Agricultural University College of Grassland, Resource and Environmental, , Hohhot 010011 , China

Abstract

Abstract Estimating the effects of extreme drought on the photosynthetic rates (Pn) of dominant plant species is crucial for understanding the mechanisms driving the impacts of extreme drought on ecosystem functioning. Extreme drought may result from either reduced rainfall amount or decreased rainfall frequency, and the impacts of different patterns of extreme drought may vary greatly. In addition, different grasslands likely appear various sensitivity to different extreme drought patterns. However, there have been no reports on the effects of different extreme drought patterns on dominant species Pn in different grassland types. Here, we conducted multi-year extreme drought simulation experiments (reducing each rainfall event by 66% during the growing season, CHR vs. completely excluding rainfall during a shorter portion of the growing season, INT) in two different grasslands (desert grassland vs. typical grassland) from 2014. The Pn of two dominant species in each grassland was measured in July and August 2017. Both CHR and INT significantly decreased dominant species Pn, with INT causing more negative impacts on Pn regardless of grassland types. The response ratios of Pn in desert grassland were generally higher than that of typical grassland, especially for Leymus chinensis in CHR. These results demonstrated that decreased rainfall frequency had a more negative effect on Pn compared with reduced rainfall amount, with grassland types changing the magnitude, but not the direction, of the effects of extreme drought patterns. These findings highlight the importance of considering extreme drought patterns and grassland types in ecosystem management in the face of future extreme droughts.

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

Oxford University Press (OUP)

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3