中国农业科学 ›› 2022, Vol. 55 ›› Issue (9): 1811-1821.doi: 10.3864/j.issn.0578-1752.2022.09.010

• 土壤肥料·节水灌溉·农业生态环境 • 上一篇    下一篇

中国草地地上生产力氮素敏感性的时空变化

侯将将1(),王金洲2,*(),孙平1,朱文琰3,徐靖2,卢昌艾4   

  1. 1河南科技大学动物科技学院,河南洛阳 471000
    2中国环境科学研究院生态研究所,北京 100012
    3河南科技大学园艺与植物保护学院,河南洛阳 471000
    4中国农业科学院农业资源与农业区划研究所,北京 100081
  • 收稿日期:2021-03-16 修回日期:2021-06-07 出版日期:2022-05-01 发布日期:2022-05-19
  • 通讯作者: 王金洲
  • 作者简介:侯将将,E-mail: a44302620@qq.com
  • 基金资助:
    国家自然科学基金(31700362);青海省重点研发与转化计划(219-NK-173)

Spatiotemporal Patterns in Nitrogen Response Efficiency of Aboveground Productivity Across China’s Grasslands

HOU JiangJiang1(),WANG JinZhou2,*(),SUN Ping1,ZHU WenYan3,XU Jing2,LU ChangAi4   

  1. 1College of Animal Science and Technology, Henan University of Science and Technology, Luoyang 471000, Henan
    2Institute of Ecology, Chinese Research Academy of Environmental Sciences, Beijing 100012
    3College of Horticultuer and Plant Protection, Henan University of Science and Technology, Luoyang 471000, Henan
    4Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081
  • Received:2021-03-16 Revised:2021-06-07 Online:2022-05-01 Published:2022-05-19
  • Contact: JinZhou WANG

摘要:

【目的】评估中国草地地上生产力氮限制强度的时空变化,为全球环境变化背景下草地适应性管理和氮循环模拟评估提供参考。【方法】以中国草地为研究对象,系统收集了1980—2020年已发表的423组氮添加试验数据,整合分析地上生产力响应比(lnRR)和氮素敏感系数(lnRR/N,即lnRR与氮添加量的比值)及其影响因素。利用直线、双直线和逐步回归等方法,评估了lnRR/N的时空动态及其驱动因子。【结果】lnRR随氮添加量的增加总体呈先增加后持平的趋势。当氮添加量超过(21.1±5.5)g N·m-2·a-1(平均值±95%置信区间)时,lnRR达到最大值(0.60±0.08)。整合分析结果显示,lnRR/N总体平均为0.043±0.004,即单位氮添加量(1 g N·m-2·a-1)可提高地上生产力(4.36±0.38)%,且因草地类型、氮添加量、试验持续年限和年代而异。时间尺度上,过去40年来lnRR/N呈显著降低趋势,且在相对湿润(年降水量MAP>450 mm)和温暖区(年均温MAT>4.5℃)的下降速率是相对干旱(MAP≤450 mm)和寒冷区(MAT≤4.5℃)的1.5—1.7倍。空间尺度上,降水量和土壤养分是lnRR/N变化的主要影响因子。其中,lnRR/N随着MAP的增加而增加,随着土壤氮含量的增加而降低。在相对湿润区,lnRR/N的变化由土壤氮含量和MAP共同占主导,而在相对干旱和温暖区则分别由MAP和MAT占主导。【结论】中国草地地上生产力仍受氮限制,但在全球环境变化背景下生产力氮限制强度或氮素敏感性持续减弱,尤其以相对湿润区和温暖区最为明显。要准确评估草地生态系统对全球环境变化的响应,需更多关注生产力关键限制因子及其限制强度的时空变化。

关键词: 草地, 地上生产力, 氮添加, 氮素敏感性, 全球环境变化

Abstract:

【Objective】This study was to investigate the temporal and spatial patterns of nitrogen (N) limitation (indicated by N response efficiency) on aboveground productivity of China’s grasslands, which was important for the adoptive management and accurately simulating of ecosystem N cycling under global environmental change. 【Method】A meta-analysis was performed to investigate N response ratio (lnRR) and N response efficiency (lnRR/N, the ratio of lnRR to N addition rate) of aboveground productivity across China’s grasslands. All data (423 groups) were collected from in-situ N addition experiments published over 1980-2020. Linear, double-linear and multi-step regressions were explored to estimate the spatial and temporal dynamics of lnRR/N and its driving factors. 【Result】In general, lnRR increased with N addition rates and saturated at (21.1±5.5) g N·m-2·a-1 (mean±95%CI) with the maximum of 0.60±0.08. lnRR/N was, on average, 0.043±0.004, i.e., aboveground productivity could increase by (4.36±0.38) % per unit N addition (1 g N·m-2·a-1). lnRR/N also differed significantly among grassland types, N addition rates, experimental durations, and years. Over the past four decades, lnRR/N significantly decreased, with a much (1.5-1.7 times) faster rate in the warmer (MAT>4.5℃) and wetter (MAP>450 mm) climatic regions than that in the cooler (MAT≤4.5℃) and drier (MAP≤450 mm) climatic regions. Regression analyses revealed that the spatial variation of lnRR/N was mainly driving by annual precipitation and soil fertility (i.e., soil N content). In general, lnRR/N increased along with MAP and decreased with soil N content. However, the driving factors varied by climatic regions, with both MAP and soil N content in the wetter regions, MAP in the drier regions and MAT in the warmer regions. 【Conclusion】 The aboveground productivity in China’s grasslands was still limited by N, but the extent of N limitation or N response efficiency decreased over time, especially in those wetter and warmer climatic regions. To accurately predict the response of grassland ecosystem to the ongoing global environmental change, the studies should pay more attention to the spatial and temporal shifting in driving factors for plant productivity.

Key words: grassland, aboveground productivity, nitrogen addition, nitrogen response efficiency, global environmental change