Evidence map›Paper›PMID 42509270›Full record

ArticleScientific reports2026

Biodiversity and natural capital in ecologically sensitive regions.

Vishal Chettry, Rakshak Kumar, Riccardo Testa

Abstract readEditorial
In one paragraph

Article in Scientific reports, 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

3 authors.

Vishal ChettryDepartment of Architecture, Planning & Design, IIT(BHU), Varanasi, Uttar Pradesh, 221005, India. vishalchettry33@gmail.com.ORCID 0000-0001-8002-7729
Rakshak KumarDepartment of Molecular Biology and Bioinformatics, Tripura University, Suryamaninagar, Agartala, Tripura, India.ORCID 0000-0002-6982-2454
Riccardo TestaDepartment of Agricultural, Food and Forest Sciences, University of Palermo, Palermo, Italy.ORCID 0000-0001-9828-2939

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biodiversity and natural capital support economic systems, human well-being and climate resilience. Yet conservation and planning have focused mainly on visible ecosystems such as forests, wetlands and agricultural landscapes, while overlooking belowground biodiversity and the complex interactions between rural and rapidly urbanizing regions. This Collection analyses species, community and microbiome responses to environmental gradients, management interventions and climate constraints, and the effects of these responses on productivity, habitat quality, ecosystem functioning and natural capital. Several contributions highlight that climate-adapted seed sourcing in grand fir can maintain forest growth and carbon sequestration under changing moisture regimes, and that diverse multi-crops in boreal conditions raise biomass and net energy yields while lowering environmental pressures. Other studies introduce integrated indicators such as habitat quality indices for wetland waterfowl, soil functional networks in shaded coffee systems centred on total organic carbon, and multidimensional niche assessments for zooplankton communities. Together, these papers demonstrate complementary approaches for treating biodiversity as natural capital and for sustaining the ecosystem services that support human well-being, sustainable production and informed conservation and management decisions.

Indexed as

BiodiversityConservation of Natural ResourcesEcosystemAgricultureAnimalsForestsHumansWetlandsBiodiversityEcologyEcosystemHabitatNatural capital

Identifiers

PMID42509270
PMCPMC13407847

What OpenQuestion holds

Textmetadata
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.