Suppr超能文献

中国森林生态系统中受气候因素影响的土壤全磷空间分布格局

Spatial distribution patterns of soil total phosphorus influenced by climatic factors in China's forest ecosystems.

作者信息

Zhu Jie, Wu Anchi, Zhou Guoyi

机构信息

South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, 510650, China.

College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China.

出版信息

Sci Rep. 2021 Mar 8;11(1):5357. doi: 10.1038/s41598-021-84166-0.

Abstract

Phosphorus (P) is an important element in terrestrial ecosystems and plays a critical role in soil quality and ecosystem productivity. Soil total P distributions have undergone large spatial changes as a result of centuries of climate change. It is necessary to study the characteristics of the horizontal and vertical distributions of soil total P and its influencing factors. In particular, the influence of climatic factors on the spatial distribution of soil total P in China's forest ecosystems remain relatively unknown. Here, we conducted an intensive field investigation in different forest ecosystems in China to assess the effect of climatic factors on soil total P concentration and distribution. The results showed that soil total P concentration significantly decreased with increasing soil depth. The spatial distribution of soil total P increased with increasing latitude and elevation gradient but decreased with increasing longitude gradient. Random forest models and linear regression analyses showed that the explanation rate of bioclimatic factors and their relationship with soil total P concentration gradually decreased with increasing soil depths. Variance partitioning analysis demonstrated that the most important factor affecting soil total P distribution was the combined effect of temperature and precipitation factor, and the single effect of temperature factors had a higher explanation rate compare with the single effect of precipitation factors. This work provides a new farmework for the geographic distribution pattern of soil total P and the impact of climate variability on P distribution in forest ecosystems.

摘要

磷(P)是陆地生态系统中的一种重要元素,在土壤质量和生态系统生产力中起着关键作用。由于几个世纪的气候变化,土壤全磷分布发生了巨大的空间变化。研究土壤全磷的水平和垂直分布特征及其影响因素很有必要。特别是,气候因素对中国森林生态系统土壤全磷空间分布的影响仍相对未知。在此,我们在中国不同森林生态系统中进行了密集的实地调查,以评估气候因素对土壤全磷浓度和分布的影响。结果表明,土壤全磷浓度随土壤深度增加而显著降低。土壤全磷的空间分布随纬度和海拔梯度增加而增加,但随经度梯度增加而降低。随机森林模型和线性回归分析表明,生物气候因素及其与土壤全磷浓度的关系的解释率随土壤深度增加而逐渐降低。方差分解分析表明,影响土壤全磷分布的最重要因素是温度和降水因素的综合作用,与降水因素的单一作用相比,温度因素的单一作用具有更高的解释率。这项工作为土壤全磷的地理分布格局以及气候变异性对森林生态系统中磷分布的影响提供了一个新的框架。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/44ab/7940475/f2953f85c65f/41598_2021_84166_Fig1_HTML.jpg

相似文献

2
Carbon pools in China's terrestrial ecosystems: New estimates based on an intensive field survey.
Proc Natl Acad Sci U S A. 2018 Apr 17;115(16):4021-4026. doi: 10.1073/pnas.1700291115.
3
Nitrogen storage in China's terrestrial ecosystems.
Sci Total Environ. 2020 Mar 20;709:136201. doi: 10.1016/j.scitotenv.2019.136201. Epub 2019 Dec 18.
4
Tree species richness as an important biotic factor regulates the soil phosphorus density in China's mature natural forests.
Sci Total Environ. 2022 Nov 1;845:157277. doi: 10.1016/j.scitotenv.2022.157277. Epub 2022 Jul 11.
5
High potential of stable carbon sequestration in phytoliths of China's grasslands.
Glob Chang Biol. 2022 Apr;28(8):2736-2750. doi: 10.1111/gcb.16092. Epub 2022 Jan 31.
6
Carbon storage in China's terrestrial ecosystems: A synthesis.
Sci Rep. 2018 Feb 12;8(1):2806. doi: 10.1038/s41598-018-20764-9.
7
Water use efficiency of China's karst ecosystems: The effect of different ecohydrological and climatic factors.
Sci Total Environ. 2023 Dec 20;905:167069. doi: 10.1016/j.scitotenv.2023.167069. Epub 2023 Sep 14.
8
Increased topsoil carbon stock across China's forests.
Glob Chang Biol. 2014 Aug;20(8):2687-96. doi: 10.1111/gcb.12536. Epub 2014 Apr 25.
10
Spatial variation of sulfur in terrestrial ecosystems in China: Content, density, and storage.
Sci Total Environ. 2024 Jan 1;906:167848. doi: 10.1016/j.scitotenv.2023.167848. Epub 2023 Oct 14.

引用本文的文献

本文引用的文献

1
N : P ratios in terrestrial plants: variation and functional significance.
New Phytol. 2004 Nov;164(2):243-266. doi: 10.1111/j.1469-8137.2004.01192.x.
2
Advanced machine learning model for better prediction accuracy of soil temperature at different depths.
PLoS One. 2020 Apr 14;15(4):e0231055. doi: 10.1371/journal.pone.0231055. eCollection 2020.
4
Microbial community composition and activity controls phosphorus transformation in rhizosphere soils of the Yeyahu Wetland in Beijing, China.
Sci Total Environ. 2018 Jul 1;628-629:1266-1277. doi: 10.1016/j.scitotenv.2018.02.115. Epub 2018 Feb 20.
5
Patterns of plant carbon, nitrogen, and phosphorus concentration in relation to productivity in China's terrestrial ecosystems.
Proc Natl Acad Sci U S A. 2018 Apr 17;115(16):4033-4038. doi: 10.1073/pnas.1700295114.
6
Carbon pools in China's terrestrial ecosystems: New estimates based on an intensive field survey.
Proc Natl Acad Sci U S A. 2018 Apr 17;115(16):4021-4026. doi: 10.1073/pnas.1700291115.
7
Effects of climate on soil phosphorus cycle and availability in natural terrestrial ecosystems.
Glob Chang Biol. 2018 Aug;24(8):3344-3356. doi: 10.1111/gcb.14093. Epub 2018 Mar 5.
8
Climatologies at high resolution for the earth's land surface areas.
Sci Data. 2017 Sep 5;4:170122. doi: 10.1038/sdata.2017.122.
10
A global analysis of fine root production as affected by soil nitrogen and phosphorus.
Proc Biol Sci. 2012 Sep 22;279(1743):3796-802. doi: 10.1098/rspb.2012.0955. Epub 2012 Jul 4.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验