Evidence map›Paper›PMID 41299248›Full record

ArticleBMC ecology and evolution2025

Responses of soil nutrients, enzyme activities, and soil microbial carbon metabolic activity of Cunninghamia lanceolata to acid rain stress and post-stress recovery dynamics.

Xuanran Yu, Chong Li, Xingyu Zhang, Hui Nie, Jingyi Zeng, Jie Lin, Xin Liu, Jinchi Zhang

Abstract read
In one paragraph

Article in BMC ecology and evolution, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Xuanran Yu *Jiangsu Province Key Laboratory of Soil and Water Conservation and Ecological Restoration, Nanjing Forestry University, 159 Longpan Road, Nanjing, Jiangsu, 210037, China.ORCID 0009-0004-4296-3355
Chong Li *Department of Renewable Resources, University of Alberta, Edmonton, AB, T6G 2E3, Canada.ORCID 0000-0001-9330-5396
Xingyu ZhangJiangsu Province Key Laboratory of Soil and Water Conservation and Ecological Restoration, Nanjing Forestry University, 159 Longpan Road, Nanjing, Jiangsu, 210037, China.
Hui NieJiangsu Province Key Laboratory of Soil and Water Conservation and Ecological Restoration, Nanjing Forestry University, 159 Longpan Road, Nanjing, Jiangsu, 210037, China.ORCID 0000-0003-2980-8815
Jingyi ZengJiangsu Province Key Laboratory of Soil and Water Conservation and Ecological Restoration, Nanjing Forestry University, 159 Longpan Road, Nanjing, Jiangsu, 210037, China.ORCID 0009-0004-8349-7979
Jie LinJiangsu Province Key Laboratory of Soil and Water Conservation and Ecological Restoration, Nanjing Forestry University, 159 Longpan Road, Nanjing, Jiangsu, 210037, China.
Xin LiuCo-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, 159 Long pan Road, Nanjing, Jiangsu, 210037, China. liuxinswc@njfu.edu.cn.ORCID 0000-0001-8641-7170
Jinchi ZhangJiangsu Province Key Laboratory of Soil and Water Conservation and Ecological Restoration, Nanjing Forestry University, 159 Longpan Road, Nanjing, Jiangsu, 210037, China. zhang8811@njfu.edu.cn.ORCID 0000-0002-0517-7214

Funding

Jiangsu·Province Science Foundation for Youths BK20200785Jiangsu Science and Technology Plan Project BE2022420
6 · The paper itself

Abstract

Acid rain pollution has historically been a serious issue in Southern China, where the dominant acid rain anion is SO42−. In recent decades, China has undertaken multiple measures to reduce acid deposition, leading to significant decreases in SO2 emissions year on year. However, understanding ecological effects during and after acid rain remains important, especially for other rapidly industrializing regions worldwide. Therefore, it is important to study changes in the ecological effects between acid rain deposition periods and the absence of acid rain. For this study, we designed a one-year simulated acid rain experiment. Subsequently, after the simulated acid rain was stopped, we conducted a nine-month continuous monitoring of the relevant experimental plots. We investigated soil nutrients, soil enzyme activities, and soil microbial carbon metabolic activity. The results revealed that acid rain had no significant effects on TN, AP, AK; however, it was difficult to return soil nutrients to their original status once the simulated acid rain was stopped. In addition, the acid rain treatments decreased the activities of soil enzymes, particularly under the high intensity acid rain treatment. Soil enzyme activities (except for sucrase activity under the high intensity acid rain treatment) reverted to their original status once the acid rain was stopped. Further, the moderate and high intensity acid rain treatments negatively affected the activities of soil microbial carbon metabolic. When the simulated acid rain was stopped for the CK treatment, soil microbial carbon metabolic activity recovered over time. During the simulated acid rain treatment and its cessation, four main categories (carbohydrates, carboxylic acids, amino acids, and polymers) were dominantly utilized. The utilization of L-Asparagine and Tween40 resulted in changes in the peak values of the C substrate groups during the non-acid rain period. Finally, the soil enzyme activities were intimately associated with the utilization of carbohydrates, carboxylic acid, amino acids, and phenols. Our results suggested that short-term acid rain contamination showed potential for recovery, but the process occurred over an extended time period.

Indexed as

Acid RainCarbonCunninghamiaSoilSoil MicrobiologyChinaStress, PhysiologicalAcid RainCarbonSoilAcid rainAcid rain and non-acid rain periodsSoil enzyme activitySoil nutrient

Identifiers

PMID41299248
PMCPMC12659047

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.