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NotablePeer-reviewed

Seasonally asymmetric warming reshapes grassland stability across timescales

ByChunyan Lu, Huiying Liu, Yixuan Huang, Jingya Zhang, Juanjuan Zhang, S. Q. Gao and 2 others

University of Bern · Lanzhou University · State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems

What it is

In two multiyear field experiments in Tibetan alpine grasslands, the authors tested how season-specific warming or drought changes the seasonal and interannual stability of plant-community biomass. Spring warming increased both seasonal and interannual stability, whereas year-round warming raised only seasonal stability, and summer drought also enhanced seasonal stability while season-specific droughts had only weak effects on interannual stability. The gains in seasonal stability came mainly from greater species-level stability, whereas the interannual stability gain under spring warming came from asynchronous responses among functional groups.

Why it matters

Studies of climate and ecosystem stability usually treat warming as uniform, leaving open how seasonally asymmetric warming or drought acts across timescales. This shows the season in which the forcing occurs is decisive: spring warming and year-round warming produced different stability outcomes, and the stabilizing mechanism differed too, with species-level stability driving seasonal stability and functional-group asynchrony driving interannual stability. That argues for seasonally explicit rather than annually averaged projections of ecosystem dynamics.

Underlined numbers link to their source. Every metric and quoted figure is listed under Sources and data below.

Filed underEcosystem dynamics and resilience, Remote Sensing in Agriculture, Ecology and Vegetation Dynamics Studies

Scored 2026-09-25How scoring works

The Frontier Score, in full

How this entry's score is built, term by term. Open any pillar to see each sub-metric's raw value, how it maps to 0 to 100, and the record that holds it.
Evidence 94Impact 36Novelty 69
The three pillars as one shape: a result strong on every axis fills the triangle.
How the Frontier Score is calculated for this breakthrough
TermScoreWeightPoints
EvidenceHow established and verifiable the result is.94× 0.2523.4
ImpactHow much the result matters, judged field-relative and by current momentum.36× 0.259.1
NoveltyHow genuinely new the result is, and how fast-moving.69× 0.5034.5
Weighted pillars67.0
Frontier recency1 month since publication× 0.98
IntegrityNot retracted× 1
Frontier Score66
Confidence: Early signal. Early signal: little citation history yet, so impact is an estimate and may shift as the work is taken up.Early signal: little citation history yet, so impact is an estimate and may shift as the work is taken up.

Every sub-metric, traced to its source

Evidence94
Evidence sub-metrics
Sub-metricRaw value0 to 100WeightPointsSource
Peer review & venueWhether the work has cleared peer review, and how selective its venue is. Peer review is necessary but not sufficient: before citations accrue, a fresh result in the most selective venues (Nature, Science, Cell, NEJM, the Lancet, PNAS, Physical Review Letters/X) is a stronger evidence signal than one in a legitimate but very high-volume mega-journal, which in turn outranks a preprint that has not been reviewed at all.Maps to 0 to 100: Peer-reviewed article graded by venue prestige: flagship 100, elite-family 90, high-volume mega-journal 78. Review 90, book 70, dataset 60, preprint 45, other 55.Peer-reviewed1000.3030.0OpenAlex type / primary_location / source
CorroborationIndependent corroboration that the result is real and being taken up, read as the BREADTH of agreement rather than the size of the citation pile. Counts how many of the five independent citation indices (OpenAlex, Crossref, Semantic Scholar, OpenCitations, Europe PMC) report the work at all, plus orthogonal, non-citation lines of corroboration: entry into the encyclopedia, registered clinical trials, released datasets or software, public funding on record, and technical-community discussion. Citation MAGNITUDE is deliberately judged under Impact, not here, so Evidence and Impact measure genuinely different things instead of both rewarding the same citation pile twice.Maps to 0 to 100: Starts at 28 and rises with each of the five independent citation indices that agree the work is cited (+9 each) and each orthogonal non-citation corroboration line (+6 each: Wikipedia, clinical trials, open datasets or software, public funding, community discussion). Capped at 100.5 of 5 citation indices agree, 1 independent non-citation line790.3023.7OpenAlex, Crossref, Semantic Scholar, OpenCitations, Europe PMC, DataCite, NIH RePORTER, Wikipedia, Hacker News count of agreeing indices + orthogonal reach
VerifiabilityHow openly the result can be read, reused, and reproduced. Rewards open access, a permissive reuse license (CC-BY/CC0), a green repository copy anyone can archive, openly minable full text, and released datasets or software a reader can actually run. Cross-checked across OpenAlex, Unpaywall, Europe PMC, and DataCite.Maps to 0 to 100: Closed 45; open access 80+; a permissive CC license 100; a repository copy, open full text, or a released dataset/software artifact each raise the floor.Open access (hybrid), CC-BY-NC-ND, repository copy1000.2020.0OpenAlex, Unpaywall, Europe PMC, DataCite is_oa / license / has_repository_copy / open datasets
IntegrityRetraction and post-publication correction status. A retracted result is not evidence of anything and collapses the whole Frontier Score; a correction or expression of concern is a softer flag. Read across OpenAlex and Crossref (both update-to and updated-by notices).Maps to 0 to 100: Clean 100; a correction or expression of concern 75; retracted 0. Flagged if OpenAlex OR Crossref records the notice.No retraction or concern on record1000.2020.0OpenAlex, Crossref is_retracted / update-to / updated-by
Impact36
Impact sub-metrics
Sub-metricRaw value0 to 100WeightPointsSource
Field-normalized impactImpact relative to the world average for the same field, year, and type, so a small field and a large field are judged fairly. Triangulates three independent field-normalized measures: OpenAlex's Field-Weighted Citation Impact, its citation percentile within the exact field-and-year cohort, and the NIH iCite Relative Citation Ratio. 1.0x is average; the percentile is the share of same-field, same-year work it out-cites.Maps to 0 to 100: Each ratio (1.0 = field average) maps 1.0 to 50, 3.0 to 75, 9.0 to 90; the field+year percentile maps directly (top 1% -> ~99). The available measures are averaged. Falls back to a saturating citation count when none is available yet.top 19% of field-year vs field810.4536.3OpenAlex, NIH iCite fwci / citation_normalized_percentile / relative_citation_ratio
Influential citationsCitations that genuinely build on the work rather than mention it in passing (Semantic Scholar's influential-citation measure). A sharper signal of real impact than a raw count.Maps to 0 to 100: Saturating: 15 influential citations maps to 50. Falls back to a fraction of consensus citations when unavailable.0 influential00.200.0Semantic Scholar influentialCitationCount
Citation velocityCitations received in the trailing twelve months, judged as a rate rather than a lifetime total. Momentum is what a frontier index cares about: a result being taken up fast right now is landing, whether its lifetime pile is large or still small. Where an expected field citation rate is known, the momentum is also read relative to it, so a fast-moving result in a quiet field is not overlooked.Maps to 0 to 100: Saturating: 30 citations in the last twelve months maps to 50. When NIH iCite provides the field's expected rate, this is blended evenly with the ratio of observed to expected momentum.0 in last 12 months00.350.0OpenAlex, NIH iCite counts_by_year / field_citation_rate
Novelty69
Novelty sub-metrics
Sub-metricRaw value0 to 100WeightPointsSource
Conceptual noveltyHow genuinely new the contribution is, measured at publication from the work's OWN content, not its date: how atypical its combination of research areas is versus all prior work, and whether it builds on a broad, deep base rather than only the newest papers in a fast-moving area. This is what separates a real advance from a recent-but-commodity result, and it needs no forward citations, so it is stable for brand-new work. An honestly noisy proxy (even state-of-the-art novelty measures agree only moderately with expert judgment), so it carries bounded weight and never drives the ranking alone.Maps to 0 to 100: Blends two publication-time signals, each 0-100: an atypical-combination score (how unusual the pairing of the work's research topics is versus the prior literature, by pointwise mutual information) and a foundational-reach score (median age and depth of the work's references). The stronger signal weighs 0.62, the weaker 0.38. When neither is measurable (a work too thin in topics or references), the pillar renormalizes over its recency signals instead.Remote Sensing in Agriculture x Ecology and Vegetation Dynamics Studies (4,251 prior works made this pairing); builds on refs a median 6.7y deep510.4522.9OpenAlex topics + referenced_works (publication-time)
RecencyHow recently the work appeared. The frontier is now, so newer scores higher.Maps to 0 to 100: Exponential decay with a 12-month half-life from the publication date.This month970.3029.1OpenAlex publication_date
Attention accelerationWhether attention is rising: citations in the latest full year versus the year before. Accelerating interest signals an active, opening frontier.Maps to 0 to 100: Latest/prior-year ratio: 1x maps to 50, 2x to 75, 4x to 100. Unknown is neutral.Not enough history500.105.0OpenAlex counts_by_year
Edge of reviewPreprints and brand-new work sit ahead of the peer-review process. That earns novelty here (while it is discounted under Evidence), because it is where the frontier forms first.Maps to 0 to 100: Preprint 95, article <6 months 80, article <18 months 65, else 45.Peer-reviewed record800.1512.0OpenAlex type / publication_date
ProvenanceAll sources

Sources and data

Every number behind this entry, grouped by the source that holds it: up to five citation indices cross-checked, field-normalized impact, then real-world reach (Wikipedia, community discussion, clinical trials, released data and public funding) where it exists. Each value links to its record.

OpenAlex

Primary record
Field-weighted citation impact
0.0x field average
Citation percentile
Top 19% of its field-year
Publication date
2026-09-09

Crossref

Citations
0
Works it builds on
72
Funders on record
7

Semantic Scholar

Citations, all versions
0
Influential citations
0

OpenCitations

Citations
0

Europe PMC

Citations
0

Unpaywall

Reuse license
CC-BY-NC-ND

Figures quoted in the write-up

FigureValueSource
Field experiments (Multiyear experiments in Tibetan alpine grasslands)twoProceedings of the National Academy of Sciences
Climate & EnvironmentThe whole field

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