2022
DOI: 10.3390/plants11060731
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Predicting the Potential Suitable Climate for Coconut (Cocos nucifera L.) Cultivation in India under Climate Change Scenarios Using the MaxEnt Model

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 curr… Show more

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Cited by 21 publications
(18 citation statements)
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“…The distribution of T. tabaci in the future was extrapolated from the base map of India. On the map, degrees of habitat suitability were classified into five classes based on ‘maximum training sensitivity plus specificity Cloglog threshold’ as the high habitat suitability area (0.778–1), the optimum habitat suitability (0.584–0.778), the medium habitat suitability (0.389–0.584), the low habitat suitability (0.195–0.389), and the unsuitable habitat (0.0–0.195) 5 .…”
Section: Methodsmentioning
confidence: 99%
“…The distribution of T. tabaci in the future was extrapolated from the base map of India. On the map, degrees of habitat suitability were classified into five classes based on ‘maximum training sensitivity plus specificity Cloglog threshold’ as the high habitat suitability area (0.778–1), the optimum habitat suitability (0.584–0.778), the medium habitat suitability (0.389–0.584), the low habitat suitability (0.195–0.389), and the unsuitable habitat (0.0–0.195) 5 .…”
Section: Methodsmentioning
confidence: 99%
“…To improve the accuracy of the predictions, we randomly selected 75% of the distribution points as the training data and the remaining 25% as the test data, the model was trained for 100 repetition and, the output data format set to Logistic and other values as default ( Moreno et al., 2011 ). The accuracy of the MaxEnt model is evaluated by the area under the curve (AUC) value of the Receiver Operator Characteristic (ROC) ( Hebbar et al., 2022 ). AUC >0.7 is generally considered to be a good model performance ( Rebelo et al., 2010 ).…”
Section: Methodsmentioning
confidence: 99%
“…However, climate change projections introduce large uncertainties around the sustainable use of field collections due to the increase in the frequency of extreme climate events (flooding, late frosts, intensive summer droughts, heat waves, and amongst other events). Severe weather events in the past decade have already impacted global coconut (the RS Cocos nucifera) production, with crop changes to different genotypes and a shift in cultivation areas predicted for India, the world's third biggest producer of coconut (Hebbar et al, 2022). A shift in production regions is also predicted for cacao (Theobroma indica), another RS species, in West Africa and Colombia (Schroth et al, 2016;González-Orozco et al, 2022).…”
Section: Effects Of Climate Change On Rs Species Growth In Field Coll...mentioning
confidence: 99%
“…An increase in temperature also has a significant impact on the performance of male gametophytes, and thus, has a qualitative and quantitative impact on seed production (Hedhly, 2011). Poor fertilization and fruit production in coconut, for example, have been linked to above average temperatures impacting the germination of pollen on the stigma as well as pollen tube growth through the style (Hebbar et al, 2018(Hebbar et al, , 2022. In fact, Zinn et al (2010) found that even a single day of extreme weather conditions had a detrimental impact on the reproductive success of several plant species.…”
Section: Effects Of Increased Temperatures On Pollenmentioning
confidence: 99%