ArticlePlants (Basel, Switzerland)2022
Predicting the Potential Suitable Climate for Coconut (
Article in Plants (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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.
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.
Who cites it
19 citing papers in PubMed.
- Modeling Neglected and Underutilized Crops for Future Food Resilience: A Regional MaxEnt Workflow.Plant-environment interactions (Hoboken, N.J.) · 2026Article
- Article
- Projected shifts in climatic suitability of olive (Frontiers in plant science · 2026Article
- Predictive Modeling of the Distribution of the Red Palm Weevil Rhynchophorus ferrugineus Olivier (Coleoptera: Curculionidae) in Brazil: Identifying Vulnerable Areas and Potential Impacts.Neotropical entomology · 2025Article
- Impact of climate change on the distribution of Ligustrum leucanthum using MaxEnt modeling.Scientific reports · 2025Article
- Morphological and molecular characterization of Sri Lankan nutmeg (Myristica fragrans Houtt.).BMC plant biology · 2025Article
- Prediction of the potentially suitable areas of Elymus dahuricus Turcz in China under climate change based on maxent.Scientific reports · 2025Article
- Identification of key genes and signaling pathways in coconut (Cocos nucifera L.) under drought stress via comparative transcriptome analysis.BMC plant biology · 2025Article
- Crop suitability analysis for the coastal region of India through fusion of remote sensing, geospatial analysis and multi-criteria decision making.Scientific reports · 2025Article
- Climatic drivers for assessment of false smut risk in rice ecosystems: A guide for planning effective management trials.Heliyon · 2025Article
- Potential Distribution Prediction ofEcology and evolution · 2025Article
- Synthesis and characterization of nano iron oxide biochar composite for efficient removal of crystal violet from water.Heliyon · 2024Article
- Global climate change-driven impacts on the Asian distribution ofEcology and evolution · 2024Article
- Article
- Whether niche changes promote the evolution of species: a case study ofFrontiers in plant science · 2024Article
- Article
- Predicting the potential geographical distribution of onion thrips, Thrips tabaci in India based on climate change projections using MaxEnt.Scientific reports · 2023Article
- Tamarixia radiata global distribution to current and future climate using the climate change experiment (CLIMEX) model.Scientific reports · 2023Article
- Niche divergence at the intraspecific level in an endemic rare peony (Frontiers in plant science · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Climate change and climate variability are projected to alter the geographic suitability of lands for crop cultivation. Early awareness of the future climate of the current cultivation areas for a perennial tree crop like coconut is needed for its adaptation and sustainable cultivation in vulnerable areas. We analyzed coconut's vulnerability to climate change in India, based on climate projections for the 2050s and the 2070s under two Representative Concentration Pathways (RCPs): 4.5 and 8.5. Based on the current cultivation regions and climate change predictions from seven ensembles of Global Circulation Models, we predict changes in relative climatic suitability for coconut cultivation using the MaxEnt model. Bioclimatic variables Bio 4 (temperature seasonality, 34.4%) and Bio 7 (temperature annual range, 28.7%) together contribute 63.1%, which along with Bio 15 (precipitation seasonality, 8.6%) determined 71.7% of the climate suitability for coconuts in India. The model projected that some current coconut cultivation producing areas will become unsuitable (plains of South interior Karnataka and Tamil Nadu) requiring crop change, while other areas will require adaptations in genotypic or agronomic management (east coast and the south interior plains), and yet in others, the climatic suitability for growing coconut will increase (west coast). The findings suggest the need for adaptation strategies so as to ensure sustainable cultivation of coconut at least in presently cultivated areas.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.