Evidence map›Paper›PMID 42543911›Full record

ArticleEcological applications : a publication of the Ecological Society of America2026

Prediction of soil organic carbon increase in the transition from shifting cultivation to agroforestry in the Indian East Himalayas.

Arun Jyoti Nath, Animekh Hazarika, Rosa Francaviglia, Gudeta W Sileshi, Gaurav Mishra, Ashesh K Das

Abstract read
In one paragraph

Article in Ecological applications : a publication of the Ecological Society of America, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Arun Jyoti NathDepartment of Ecology and Environmental Science, Assam University, Silchar, Assam, India.ORCID https://orcid.org/0000-0002-6453-5595
Animekh HazarikaDepartment of Ecology and Environmental Science, Assam University, Silchar, Assam, India.ORCID https://orcid.org/0000-0003-2627-7203
Rosa FrancavigliaCouncil for Agricultural Research and Economics, Research Centre for Agriculture and Environment, Rome, Italy.ORCID https://orcid.org/0000-0002-4362-5428
Gudeta W SileshiDepartment of Plant Biology and Biodiversity Management, Addis Ababa University, Addis Ababa, Ethiopia.ORCID https://orcid.org/0000-0001-7828-6238
Gaurav MishraIndian Council for Forestry Research and Education, Dehradun, Uttarakhand, India.ORCID https://orcid.org/0000-0001-5687-029X
Ashesh K DasDepartment of Ecology and Environmental Science, Assam University, Silchar, Assam, India.ORCID https://orcid.org/0000-0003-3858-3371

Funding

Department of Science and Technology, Government of India DST/CCP/MRDP/189/2019 (G)
6 · The paper itself

Abstract

Agroforestry practices managed by indigenous communities have been identified as viable alternatives to monoculture practices in the transition from shifting cultivation to sedentary agricultural systems. Nonetheless, the long-term effects of such transitions on the dynamics of soil organic carbon (SOC) are not fully understood. In this study, we predict changes in SOC stock across a chronosequence of a natural forest stand and pineapple agroforestry systems (PAFSs) using an ensemble of models with four shared socioeconomic pathway scenarios. There was a strong agreement between the simulated and observed SOC stocks. Simulated SOC stocks with the Rothamsted Carbon (RothC) model in 15-year-old PAFS (83.2 Mg C ha

Indexed as

AgricultureCarbonForestryForestsSoilClimate ChangeHimalayasIndiaCarbonSoilabandoned landcarbon sequestrationclimate change projectionspineapple agroforestryRothC

Identifiers

PMID42543911
PMCPMC13430140

What OpenQuestion holds

Textmetadata
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.