Evidence map›Paper›PMID 42249278›Full record

ArticleBMC plant biology2026

Enhanced net primary productivity across Inner Mongolian grasslands despite diverging stability under climate perturbations.

Md Lokman Hossain, Derrick Y F Lai

Abstract read
In one paragraph

Article in BMC plant biology, 2026. 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

2 authors.

Md Lokman HossainDepartment of Geography and Resource Management, The Chinese University of Hong Kong, Shatin, Hong Kong, New Territories, China. lokmanbbd@gmail.com.ORCID http://orcid.org/0000-0002-6103-4226
Derrick Y F LaiDepartment of Geography and Resource Management, The Chinese University of Hong Kong, Shatin, Hong Kong, New Territories, China. dyflai@cuhk.edu.hk.ORCID http://orcid.org/0000-0002-1225-9904

Funding

Research Grants Council (RGC) of the Hong Kong Special Administrative Region, China PDFS2425-4S05
6 · The paper itself

Abstract

backgroundUnderstanding ecosystems functioning under frequent climatic perturbations is central to predicting ecosystem stability. While studies suggest that stable ecosystems can buffer against climate extremes, there is no agreement on whether this stability arises from their resistance (ability to absorb shock) to perturbations, resilience (capacity to recover) towards disturbances, or a combination of both. Using annual net primary productivity (NPP) and Standardized Precipitation Evapotranspiration Index (SPEI) and aridity index (AI), we investigated the (i) spatiotemporal changes of NPP, (ii) correlation between NPP, SPEI and AI, and (iii) resistance and resilience of meadow steppe, typical steppe, steppe desert, and desert steppe in Inner Mongolia from 2000-2019.

resultsDespite substantial interannual variability, all grassland types showed an upward trend in NPP, ranging from 1.21 g C m

conclusionsThe observed increase in vegetation productivity and differing stability has practical implications for pastoralists, landscape managers, and conservationists for grassland management. The demonstrated positive diversity-productivity relationship suggests maintaining greater species richness could buffer productivity losses during climate extremes, while the NPP-AI correlations in steppe desert and desert steppe offer early warning indicators for drought preparedness.

Indexed as

Climate ChangeGrasslandChinaDesert ClimatePoaceaeBiodiversityClimate extremesEcosystem stabilityGrassland ecosystemsResilienceResistance

Identifiers

PMID42249278
PMCPMC13459204

What OpenQuestion holds

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Registered trials

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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.