Evidence map›Paper›PMID 40320407›Full record

ArticleScientific reports2025

Insights into the linkages of forest structure dynamics with ecosystem services.

T V Ramachandra, Paras Negi, Tulika Mondal, Syed Ashfaq Ahmed

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

T V Ramachandra *Energy & Wetlands Research Group and IISc-EIACP, Centre for Ecological Sciences [CES], Indian Institute of Science, Bangalore, India. tvr@iisc.ac.in.ORCID http://orcid.org/0000-0001-5528-1565
Paras Negi *Energy & Wetlands Research Group and IISc-EIACP, Centre for Ecological Sciences [CES], Indian Institute of Science, Bangalore, India.
Tulika Mondal *Energy & Wetlands Research Group and IISc-EIACP, Centre for Ecological Sciences [CES], Indian Institute of Science, Bangalore, India.
Syed Ashfaq Ahmed *Department of Applied Geology, Kuvempu University, Shimoga, 577471, India.

Funding

The EIACP Division, The Ministry of Environment Forests and Climate Change, Government of India SP/DEOO-22-0001
6 · The paper itself

Abstract

Large-scale land cover changes leading to land degradation and deforestation in fragile ecosystems such as the Western Ghats have impaired ecosystem services, evident from the conversion of perennial water bodies to seasonal, which necessitates an understanding of forest structure dynamics with ecosystem services to evolve appropriate location-specific mitigation measures to arrest land degradation. The current study evaluates the extent and condition of forest ecosystems in Goa of the Central Western Ghats, a biodiversity hotspot. Land use dynamics is assessed through a supervised hierarchical classifier based on the Random Forest Machine Learning Algorithm, revealing that total forest cover declined by 3.75% during the post-1990s due to market forces associated with globalization. Likely land uses predicated through the CA-Markov-based Analytic Hierarchy Process (AHP) highlight a decline in evergreen forest cover of 10.98%. The carbon sequestration potential of forests in Goa assessed through the InVEST model highlights the storage of 56,131.16 Gg of carbon, which accounts for 373.47 billion INR (4.49 billion USD). The total ecosystem supply value (TESV) for forest ecosystems was computed by aggregating the provisioning, regulating, and cultural services, which accounts for 481.76 billion INR per year. TESV helps in accounting for the degradation cost of ecosystems towards the development of green GDP (Gross Domestic Product). Prioritization of Ecologically Sensitive Regions (ESR) considering bio-geo-climatic, ecological, and social characteristics at disaggregated levels reveals that 54.41% of the region is highly sensitive (ESR1 and ESR2). The outcome of the research offers invaluable insights for the formulation of strategic natural resource management approaches.

Indexed as

Conservation of Natural ResourcesEcosystemForestsBiodiversityCarbon SequestrationAgent-based modelingCarbon sequestrationEcologically sensitive regions (ESR)Ecosystem servicesInVEST modelLand coverLand useLand use change predictionWestern Ghats

Identifiers

PMID40320407
PMCPMC12050335

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.