Optimizing nitrogen use efficiency in forest plantations: mechanistic insights from

Debin Qin, Ruqian Wu, Linlin Niu, Bo Jiang, Yiwei Li, Guohua Chai, Jie Luo, Xinmin An

Abstract readReview

In one paragraph

Review in Forestry research, 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

–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

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.

Debin QinState Key Laboratory of Tree Genetics and Breeding, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China.

Ruqian WuState Key Laboratory of Tree Genetics and Breeding, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China.

Linlin NiuState Key Laboratory of Tree Genetics and Breeding, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China.

Bo JiangState Key Laboratory of Tree Genetics and Breeding, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China.

Yiwei LiCollege of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China.

Guohua ChaiCollege of Resources and Environment, Qingdao Agricultural University, Qingdao 266109, China.ORCID 0000-0002-2724-6516

Jie LuoNational Key Laboratory for Germplasm Innovation & Utilization of Horticultural Crops, Hubei Hongshan Laboratory, Hubei Engineering Technology Research Centre for Forestry Information, College of Horticulture and Forestry, Huazhong Agricultural University, Wuhan 430070, China.

Xinmin AnState Key Laboratory of Tree Genetics and Breeding, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Forest plantations, such as poplar and eucalyptus, exhibit high nitrogen requirements that are vital for growth, biomass accumulation, and the production of high-quality timber. However, the investigation of nitrogen use efficiency (NUE) mechanisms in forest plantations lags far behind that in crops. In contrast, natural forest ecosystems, without chemical fertilizer inputs, demonstrate remarkable capacities for biological nitrogen fixation and internal nitrogen cycling. Drawing on nitrogen utilization strategies elucidated in

Indexed as

Beneficial microorganismsForest plantationsNitrogen absorptionNitrogen cycleNitrogen use efficiencyRoot morphology

Identifiers

PMID41312404

DOI10.48130/forres-0025-0029

PMCPMC12648161

What OpenQuestion holds

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LicenceCC BY

Read underepoch 390

Registered trials

None linked

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.