Biogeographic variations in soil respiration and its basal rate across China suggest thermal adaptation, substrate limitation, and soil moisture constraint

IF 5.4 1区农林科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY

Catena Pub Date : 2025-03-31 DOI:10.1016/j.catena.2025.108992

Zifan Guo , Jiajia Zheng , Xin Jia , Charles P.-A. Bourque , Tianshan Zha , Chuan Jin , Mingze Xu , Xuefei Li

{"title":"Biogeographic variations in soil respiration and its basal rate across China suggest thermal adaptation, substrate limitation, and soil moisture constraint","authors":"Zifan Guo , Jiajia Zheng , Xin Jia , Charles P.-A. Bourque , Tianshan Zha , Chuan Jin , Mingze Xu , Xuefei Li","doi":"10.1016/j.catena.2025.108992","DOIUrl":null,"url":null,"abstract":"<div><h3>Background and aims</h3><div>Understanding the spatial variations in ecosystem carbon (C) fluxes is essential for predicting regional C budgets under future climate and land use change. Biogeographic variations and regulating factors of soil respiration (<em>R<sub>s</sub></em>) and its basal rate (e.g., at 10 °C, <em>R<sub>s</sub></em><sub>10</sub>) remain largely uncertain.</div></div><div><h3>Methods</h3><div>We synthesized 788 and 606 records of annual <em>R<sub>s</sub></em> and <em>R<sub>s</sub></em><sub>10</sub>, respectively, from 357 published papers to examine how <em>R<sub>s</sub></em> and <em>R<sub>s</sub></em><sub>10</sub> vary spatially across China and as a function of environmental factors.</div></div><div><h3>Results</h3><div>Annual <em>R<sub>s</sub></em> ranged 51–2480 g C m<sup>−2</sup> yr<sup>−1</sup> across sites. It increased with increasing mean annual air temperature, potential evapotranspiration (<em>PET</em>), and soil temperature, and decreased with increasing latitude and altitude, whereas <em>R<sub>s</sub></em><sub>10</sub> exhibited the opposite trend. Negative <em>R<sub>s</sub></em><sub>10</sub>–temperature relationships suggest higher respiratory activity in colder areas, possibly a result of the thermal adaptation of <em>R<sub>s</sub></em>. Annual <em>R<sub>s</sub></em> was significantly enhanced by increasing mean annual precipitation (<em>MAP</em>) and aridity index (i.e., <em>AI</em>, ratio of <em>MAP</em> to <em>PET</em>), but <em>R<sub>s</sub></em><sub>10</sub> was not correlated with <em>MAP</em> and was less sensitive to <em>AI</em>. Both annual <em>R<sub>s</sub></em> and <em>R<sub>s</sub></em><sub>10</sub> showed a unimodal relationship with soil moisture and increased linearly with soil organic C and total nitrogen (N). However, neither annual <em>R<sub>s</sub></em> nor <em>R<sub>s</sub></em><sub>10</sub> was correlated with soil C:N, suggesting that <em>R<sub>s</sub></em> was constrained by soil water, substrate, and nutrient availability, but was less affected by substrate quality. Multivariate analyses (random forest analysis, hierarchical variance partitioning, relative weight analysis, and structural equation modeling) generally supported the patterns observed from bivariate relationships.</div></div><div><h3>Conclusion</h3><div>Our study suggests thermal adaptation, substrate limitation, and soil moisture constraint of <em>R<sub>s</sub></em> at the regional scale. Accordingly, terrestrial C cycle models should adequately consider the dependence of the basal rate of <em>R<sub>s</sub></em> on climatic and soil factors to accurately predict regional C budgets.</div></div>","PeriodicalId":9801,"journal":{"name":"Catena","volume":"254 ","pages":"Article 108992"},"PeriodicalIF":5.4000,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Catena","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0341816225002942","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GEOSCIENCES, MULTIDISCIPLINARY","Score":null,"Total":0}

引用次数: 0

Abstract

Background and aims

Understanding the spatial variations in ecosystem carbon (C) fluxes is essential for predicting regional C budgets under future climate and land use change. Biogeographic variations and regulating factors of soil respiration (R_s) and its basal rate (e.g., at 10 °C, R_s₁₀) remain largely uncertain.

Methods

We synthesized 788 and 606 records of annual R_s and R_s₁₀, respectively, from 357 published papers to examine how R_s and R_s₁₀ vary spatially across China and as a function of environmental factors.

Results

Annual R_s ranged 51–2480 g C m⁻² yr⁻¹ across sites. It increased with increasing mean annual air temperature, potential evapotranspiration (PET), and soil temperature, and decreased with increasing latitude and altitude, whereas R_s₁₀ exhibited the opposite trend. Negative R_s₁₀–temperature relationships suggest higher respiratory activity in colder areas, possibly a result of the thermal adaptation of R_s. Annual R_s was significantly enhanced by increasing mean annual precipitation (MAP) and aridity index (i.e., AI, ratio of MAP to PET), but R_s₁₀ was not correlated with MAP and was less sensitive to AI. Both annual R_s and R_s₁₀ showed a unimodal relationship with soil moisture and increased linearly with soil organic C and total nitrogen (N). However, neither annual R_s nor R_s₁₀ was correlated with soil C:N, suggesting that R_s was constrained by soil water, substrate, and nutrient availability, but was less affected by substrate quality. Multivariate analyses (random forest analysis, hierarchical variance partitioning, relative weight analysis, and structural equation modeling) generally supported the patterns observed from bivariate relationships.

Conclusion

Our study suggests thermal adaptation, substrate limitation, and soil moisture constraint of R_s at the regional scale. Accordingly, terrestrial C cycle models should adequately consider the dependence of the basal rate of R_s on climatic and soil factors to accurately predict regional C budgets.

查看原文本刊更多论文

求助全文

约1分钟内获得全文求助全文

来源期刊

Catena 环境科学-地球科学综合

CiteScore

10.50

自引率

9.70%

发文量

816

审稿时长

54 days

期刊介绍： Catena publishes papers describing original field and laboratory investigations and reviews on geoecology and landscape evolution with emphasis on interdisciplinary aspects of soil science, hydrology and geomorphology. It aims to disseminate new knowledge and foster better understanding of the physical environment, of evolutionary sequences that have resulted in past and current landscapes, and of the natural processes that are likely to determine the fate of our terrestrial environment. Papers within any one of the above topics are welcome provided they are of sufficiently wide interest and relevance.