The influence of forest-to-cropland conversion on temperature sensitivity of soil microbial respiration across tropical to temperate zones

问题10 温带气候 土壤呼吸 亚热带 环境科学 热带 碳循环 土壤碳 气候变化 呼吸 生物量(生态学) 纬度 全球变化 温带雨林 生态学 大气科学 土壤水分 土壤科学 生物 生态系统 地理 地质学 植物 大地测量学
作者
Jun Pan,Yuan Liu,Nianpeng He,Chao Li,Mingxu Li,Li Xu,Osbert Jianxin Sun
出处
期刊:Soil Biology & Biochemistry [Elsevier BV]
卷期号:191: 109322-109322 被引量:5
标识
DOI:10.1016/j.soilbio.2024.109322
摘要

As one of the most important drivers of global climate change, land use change (LUC) has markedly altered the regional and global carbon (C) cycles. However, the geographic variations and the key drivers in the effects of LUC on temperature sensitivity (Q10) of soil microbial respiration (Rs) are still not fully elucidated, hence impeding the spatially explicit predictions of soil C cycling under climate change. Here, we used a paired-plot approach with data for 19 locations distributed from the tropical to temperate zones in eastern China, and compared the temperature responses of Rs between forest and cropland soil. Results showed that the latitudinal patterns of Q10 in forest soils were better explained by climatic variables; whereas in cropland, soil Q10 trended higher with increasing latitude, with climatic factors, pH, clay, and soil organic C (SOC) jointly modulating the spatial variations in Q10. Overall, the values of Q10 tended to converge with latitude between forests and croplands, with change in Q10 from forest to cropland, ΔQ10, significantly decreasing from the tropical region (9.23 ± 3.58 %) to the subtropical (0.58 ± 1.93 %) and temperate (−0.97 ± 1.11 %) regions. Moreover, the spatial variations of ΔQ10 were significantly affected by climatic factors, ΔpH, Δmicrobial biomass C (ΔMBC), and their interactions. Our findings highlight the potential impacts of LUC-related biogeographic variations in the temperature response of Rs, and emphasize the importance of incorporating the land-use effects on the temperature sensitivity of soil microbial respiration into terrestrial C cycle models to improve predictions of carbon-climate feedbacks in the future.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
心心发布了新的文献求助10
1秒前
2秒前
2秒前
godblessyou应助任性半凡采纳,获得10
2秒前
任从蓉发布了新的文献求助10
3秒前
Willa应助KYT2025采纳,获得20
3秒前
原12发布了新的文献求助10
4秒前
4秒前
5秒前
栗江南发布了新的文献求助10
5秒前
么么么发布了新的文献求助10
6秒前
FashionBoy应助舒一一采纳,获得10
6秒前
赵晶晶发布了新的文献求助10
7秒前
8秒前
烟雨梦兮发布了新的文献求助10
8秒前
9秒前
9秒前
echo发布了新的文献求助30
9秒前
9秒前
10秒前
可爱的函函应助随风沙ZYX采纳,获得10
10秒前
传奇3应助耍酷的徐坤采纳,获得10
10秒前
11秒前
脑洞疼应助热心的寻冬采纳,获得10
11秒前
某某完成签到,获得积分10
12秒前
12秒前
Xx丶发布了新的文献求助10
12秒前
LIU发布了新的文献求助10
12秒前
科研通AI2S应助大意的谷冬采纳,获得10
13秒前
德古完成签到,获得积分10
13秒前
乔宇发布了新的文献求助10
14秒前
科研通AI6.1应助yyuu采纳,获得10
14秒前
14秒前
15秒前
smooth8发布了新的文献求助20
15秒前
墨维晟发布了新的文献求助10
15秒前
16秒前
心心完成签到,获得积分10
16秒前
pkinglu完成签到,获得积分10
16秒前
隐形曼青应助Leeee采纳,获得10
17秒前
高分求助中
Overcoming Stigma and Bias in Obesity Management 1200
Signals, Systems, and Signal Processing 610
Software that combines deep learning,3D reconstruction and CFD to analyze the state of carotid arteries from ultrasound imaging 500
Bounds for Statistical Estimation in Semiparametric Models 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 500
Ideology and Meaning-Making under the Putin Regime 450
Adhesion Science: Principles & Practice 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6492937
求助须知:如何正确求助?哪些是违规求助? 8290508
关于积分的说明 17691208
捐赠科研通 5585086
什么是DOI,文献DOI怎么找? 2915526
邀请新用户注册赠送积分活动 1892599
关于科研通互助平台的介绍 1750900