Evidence map›Paper›PMID 31654145›Full record

ArticleEnvironmental monitoring and assessment2019

Responses of plant productivity and soil nutrient concentrations to different alpine grassland degradation levels.

Hai Peng Xu, Jing Zhang, Xiao Pan Pang, Qian Wang, Wen Na Zhang, Juan Wang, Zheng Gang Guo

Abstract read
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In one paragraph

Article in Environmental monitoring and assessment, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

  1. Article
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  5. Effects ofPlants (Basel, Switzerland) · 2022
    Article
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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

7 authors.

Hai Peng XuState Key Laboratory of Grassland Agro-Ecosystem, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, College of Pastoral Agricultural Science and Technology, Lanzhou University, Lanzhou, 730020, People's Republic of China.
Jing ZhangState Key Laboratory of Grassland Agro-Ecosystem, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, College of Pastoral Agricultural Science and Technology, Lanzhou University, Lanzhou, 730020, People's Republic of China.
Xiao Pan PangState Key Laboratory of Grassland Agro-Ecosystem, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, College of Pastoral Agricultural Science and Technology, Lanzhou University, Lanzhou, 730020, People's Republic of China.
Qian WangState Key Laboratory of Grassland Agro-Ecosystem, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, College of Pastoral Agricultural Science and Technology, Lanzhou University, Lanzhou, 730020, People's Republic of China.
Wen Na ZhangState Key Laboratory of Grassland Agro-Ecosystem, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, College of Pastoral Agricultural Science and Technology, Lanzhou University, Lanzhou, 730020, People's Republic of China.
Juan WangState Key Laboratory of Grassland Agro-Ecosystem, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, College of Pastoral Agricultural Science and Technology, Lanzhou University, Lanzhou, 730020, People's Republic of China.
Zheng Gang GuoState Key Laboratory of Grassland Agro-Ecosystem, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, College of Pastoral Agricultural Science and Technology, Lanzhou University, Lanzhou, 730020, People's Republic of China. guozhg@lzu.edu.cn.ORCID http://orcid.org/0000-0002-0901-9782

Funding

Changjiang Scholars and Innovative Research Team in University IRT17R50Major special project for improvement and utilization of forage germplasm in Tibetan Autonomous Region XZ201901NA03National Key Research and Development Plan 2016YFC0502005
6 · The paper itself

Abstract

Although grassland degradation simultaneously affects plant productivity and soil nutrient concentrations, the relationship between plant productivity and soil nutrient concentrations during the process of grassland degradation is not yet well documented. A 4-year survey in the Qinghai-Tibetan Plateau was conducted to simultaneously investigate the relationships between plant productivity and soil nutrient concentrations in an alpine grassland at an overall degradation level and individual degradation levels. Our results showed that the total plant, sedge, and forb biomasses decreased, whereas the grass and legume biomasses first increased and then decreased as the level of alpine grassland degradation increased. Soil organic carbon (C), total nitrogen (N), total phosphorus (P), available N, and available P concentrations also decreased with the increase in degradation level. Our results also showed that plant productivity was positively correlated with soil nutrient concentrations (soil organic C, total T, total P, available N, available P) at an overall degradation level, whereas plant productivity was positively correlated with only the soil organic C concentration at each degradation level. Our findings suggested that the alpine grassland degradation conditions had different effects on the plant productivity of four functional groups (sedges, grasses, legumes, forbs) and affected the relationship between plant productivity and soil nutrient concentrations.

Indexed as

Environmental MonitoringGrasslandBiomassCarbonEcosystemNitrogenNutrientsPhosphorusPlantsPoaceaeSoilCarbonNitrogenNutrientsPhosphorusSoilAlpine grasslandDegradation levelFunctional group biomassSoil nutrient concentrationsTotal plant biomass

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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.