• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

中国北方典型荒漠及荒漠化地区叶片氮磷化学计量特征

[Leaf nitrogen and phosphorus stoichiometry in typical desert and desertified regions, north China].

作者信息

Li Yu-lin, Mao Wei, Zhao Xue-yong, Zhang Tong-hui

机构信息

Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou 730000, China.

出版信息

Huan Jing Ke Xue. 2010 Aug;31(8):1716-25.

PMID:21090284
Abstract

Characteristics of leaf nitrogen and phosphorus stoichiometry at regional scale is key factors to understand spatial pattern, forecast change trends and reveal responses of terrestrial ecosystem to global change. In this study, pattern of leaf nitrogen and phosphorus of 214 plants was investigated to elucidate their relationships with rainfall and temperature in typical desert and desertified regions of northern China. The results showed that average leaf nitrogen concentration, average leaf phosphorus concentrations, and leaf N/P of 214 species are (24.45 +/- 8.1) mg/g, (1.74 +/- 0. 88) mg/g, 15.77 +/- 7.5 in these regions of northern China, respectively. Compared with other studies at global, national or regional scale, leaf nitrogen and phosphorus concentrations are significantly higher in this study (p < 0.001). However, leaf N/P didn't show any significant differences with other studies. This implies that leaf N/P is generally well-constrained. One-way ANOVA analysis showed that leaf N, P, and N/P varied significantly among trees, shrubs, graminoids, and forbs. Leaf N concentration in shrubs, forbs and leaf P concentration in forbs are averagely higher than those in other life-forms, respectively. This implies that nutrient use strategies are significantly different among plant life-forms. There are no significant differences in leaf nitrogen concentration among each typically desert and desertified region. However, Leaf phosphorus concentration and leaf N/P are significantly different among each typically desert and desertified regions. Leaf phosphorus concentrations are relatively high in Kerqin Sand Land and Mowuso Sand Land. Leaf N/P of most species in Talimu basin, Zhunger Basin, and Alashan is higher than 16, and lower than 14 of most species in Kerqin Sand land. This means that nutrient constraining in different regions varies greatly. Correlations analysis showed that leaf N, P, and N/P are significantly correlated with annual precipitation, but not significantly correlated with annual mean temperature in desert and desertified regions of northern China.

摘要

区域尺度上叶片氮磷化学计量特征是理解陆地生态系统空间格局、预测变化趋势以及揭示其对全球变化响应的关键因素。本研究调查了中国北方典型沙漠及沙漠化地区214种植物的叶片氮磷格局,以阐明它们与降雨和温度的关系。结果表明,中国北方这些地区214个物种的平均叶片氮浓度、平均叶片磷浓度和叶片N/P分别为(24.45±8.1)mg/g、(1.74±0.88)mg/g、15.77±7.5。与全球、国家或区域尺度的其他研究相比,本研究中叶片氮磷浓度显著更高(p<0.001)。然而,叶片N/P与其他研究没有显著差异。这意味着叶片N/P通常受到良好的限制。单因素方差分析表明,叶片N、P和N/P在乔木、灌木、禾本科植物和草本植物之间存在显著差异。灌木和草本植物的叶片N浓度以及草本植物的叶片P浓度平均分别高于其他生活型。这意味着不同植物生活型的养分利用策略存在显著差异。各典型沙漠和沙漠化地区之间叶片氮浓度没有显著差异。然而,各典型沙漠和沙漠化地区之间叶片磷浓度和叶片N/P存在显著差异。科尔沁沙地和毛乌素沙地的叶片磷浓度相对较高。塔里木盆地、准噶尔盆地和阿拉善地区大多数物种的叶片N/P高于16,而科尔沁沙地大多数物种的叶片N/P低于14。这意味着不同地区的养分限制差异很大。相关性分析表明,在中国北方沙漠及沙漠化地区,叶片N、P和N/P与年降水量显著相关,但与年平均温度没有显著相关性。

相似文献

1
[Leaf nitrogen and phosphorus stoichiometry in typical desert and desertified regions, north China].中国北方典型荒漠及荒漠化地区叶片氮磷化学计量特征
Huan Jing Ke Xue. 2010 Aug;31(8):1716-25.
2
[Leaf C:N:P stoichiometry of 67 plant species and its relations with climate factors across the deserts in Xinjiang, China.].[中国新疆沙漠地区67种植物叶片碳氮磷化学计量特征及其与气候因子的关系。]
Ying Yong Sheng Tai Xue Bao. 2019 Jul;30(7):2171-2180. doi: 10.13287/j.1001-9332.201907.025.
3
[Changes of plant leaf N, P, and K concentrations and species dominance in an arid-hot valley after ecosystem restoration].[生态系统恢复后干热河谷植物叶片氮、磷、钾含量及物种优势度的变化]
Ying Yong Sheng Tai Xue Bao. 2013 Apr;24(4):956-60.
4
[Leaf nitrogen and phosphorus stoichiometry across 654 terrestrial plant species in NSTEC].[国家重要生态系统碳氮磷计量学中654种陆生植物的叶片氮磷化学计量学]
Huan Jing Ke Xue. 2007 Dec;28(12):2665-73.
5
Minimizing the effect of precipitation in clarifying the responses of leaf N and P stoichiometry to temperature.尽量减少降水对叶片氮磷化学计量比响应温度变化的影响。
Environ Pollut. 2018 Dec;243(Pt A):404-409. doi: 10.1016/j.envpol.2018.09.010. Epub 2018 Sep 5.
6
[Stoichiometric characteristics of leaf carbon, nitrogen, and phosphorus of 102 dominant species in forest ecosystems along the North-South Transect of East China].[华东地区南北样带森林生态系统102种优势植物叶片碳、氮、磷的化学计量特征]
Ying Yong Sheng Tai Xue Bao. 2012 Mar;23(3):581-6.
7
Leaf nitrogen and phosphorus stoichiometry across 753 terrestrial plant species in China.中国753种陆生植物叶片的氮磷化学计量特征
New Phytol. 2005 Nov;168(2):377-85. doi: 10.1111/j.1469-8137.2005.01530.x.
8
Patterns of plant carbon, nitrogen, and phosphorus concentration in relation to productivity in China's terrestrial ecosystems.中国陆地生态系统生产力与植物碳、氮、磷浓度的关系模式。
Proc Natl Acad Sci U S A. 2018 Apr 17;115(16):4033-4038. doi: 10.1073/pnas.1700295114.
9
Family-level leaf nitrogen and phosphorus stoichiometry of global terrestrial plants.全球陆生植物的家庭水平叶片氮磷化学计量。
Sci China Life Sci. 2019 Aug;62(8):1047-1057. doi: 10.1007/s11427-019-9584-1. Epub 2019 Jul 8.
10
Community Characteristics and Leaf Stoichiometric Traits of Desert Ecosystems Regulated by Precipitation and Soil in an Arid Area of China.中国干旱区降水和土壤对荒漠生态系统群落特征及叶片化学计量特征的影响
Int J Environ Res Public Health. 2018 Jan 10;15(1):109. doi: 10.3390/ijerph15010109.

引用本文的文献

1
Leaf nitrogen and phosphorus stoichiometry of the halophytes across China.中国盐生植物叶片的氮磷化学计量特征
Front Plant Sci. 2023 Oct 4;14:1276699. doi: 10.3389/fpls.2023.1276699. eCollection 2023.
2
Effects of simulated precipitation gradients on nutrient resorption in the desert steppe of northern China.模拟降水梯度对中国北方荒漠草原养分再吸收的影响。
Front Plant Sci. 2023 Aug 30;14:1211182. doi: 10.3389/fpls.2023.1211182. eCollection 2023.
3
Nutrient stoichiometric and resorption characteristics of the petals of four common urban greening Rosaceae tree species.
四种常见城市绿化蔷薇科树种花瓣的养分化学计量与再吸收特征
Front Plant Sci. 2023 Jun 15;14:1201759. doi: 10.3389/fpls.2023.1201759. eCollection 2023.
4
Characteristics and drivers of plant C, N, and P stoichiometry in Northern Tibetan Plateau grassland.藏北高原草地植物碳、氮、磷化学计量特征及其驱动因素
Front Plant Sci. 2023 Apr 6;14:1092872. doi: 10.3389/fpls.2023.1092872. eCollection 2023.
5
Effects of warming seasonal rotational grazing on plant communities' structure and diversity in desert steppe.暖季轮牧对荒漠草原植物群落结构和多样性的影响
Ecol Evol. 2023 Jan 19;13(1):e9748. doi: 10.1002/ece3.9748. eCollection 2023 Jan.
6
Predicting the suitable habitats of parasitic desert species based on a niche model with and as examples.以[具体物种1]和[具体物种2]为例,基于生态位模型预测寄生性沙漠物种的适宜栖息地。
Ecol Evol. 2021 Dec 12;11(24):17817-17834. doi: 10.1002/ece3.8340. eCollection 2021 Dec.
7
Stoichiometry of C:N:P in the Roots of Is More Sensitive to Soil Nutrients Than Aboveground Organs.[植物名称]根系中碳氮磷化学计量比相比地上器官对土壤养分更为敏感。 (注:原文中未明确给出植物名称,这里补充了[植物名称]以便使译文更完整通顺)
Front Plant Sci. 2021 Oct 12;12:698961. doi: 10.3389/fpls.2021.698961. eCollection 2021.
8
Spatial Patterns of Leaf Carbon, Nitrogen, and Phosphorus Stoichiometry of Aquatic Macrophytes in the Arid Zone of Northwestern China.中国西北干旱区水生植物叶片碳、氮、磷化学计量比的空间格局
Front Plant Sci. 2018 Sep 21;9:1398. doi: 10.3389/fpls.2018.01398. eCollection 2018.
9
Community Characteristics and Leaf Stoichiometric Traits of Desert Ecosystems Regulated by Precipitation and Soil in an Arid Area of China.中国干旱区降水和土壤对荒漠生态系统群落特征及叶片化学计量特征的影响
Int J Environ Res Public Health. 2018 Jan 10;15(1):109. doi: 10.3390/ijerph15010109.
10
Seasonal variations in carbon, nitrogen and phosphorus concentrations and C:N:P stoichiometry in different organs of a Larix principis-rupprechtii Mayr. plantation in the Qinling Mountains, China.中国秦岭地区华北落叶松人工林不同器官中碳、氮、磷浓度及C:N:P化学计量比的季节变化。
PLoS One. 2017 Sep 22;12(9):e0185163. doi: 10.1371/journal.pone.0185163. eCollection 2017.