The expanding distribution of the Indian Peafowl (Pavo cristatus) as an indicator of changing climate in Kerala, southern India: A modelling study using MaxEnt

Jose, Sanjo; Nameer, P. O.

doi:10.1016/j.ecolind.2019.105930

Cited by 58 publications

(36 citation statements)

References 71 publications

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“…Apart from this specific structure of the citizen science programs, the constitution of the research team might also play a role in itself, notably through its professional quality, its notoriety, its insertion within the research networks, etc. To have a more complete view of the factors influencing epistemic success of biodiversity citizen science project, it would then be necessary to address a range of comparisons with other similar participative projects in ecology—such as, for instance, the eBird program ([ 38 ], https://ebird.org/home ) from Cornell Laboratory of Ornithology.…”

Section: Interpretation and Discussionmentioning

confidence: 99%

Measuring epistemic success of a biodiversity citizen science program: A citation study

2021

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This paper offers a comparative evaluation of the scientific impact of a citizen science program in ecology, ‘‘Vigie-Nature”, managed by the French National Museum of Natural History. Vigie-Nature consists of a national network of amateur observatories dedicated to a participative study of biodiversity in France that has been running for the last twenty years. We collected 123 articles published by Vigie-Nature in international peer-reviewed journals between 2007 and 2019, and computed the yearly amount of citations of these articles between 0–12 years post-publication. We then compared this body of citations with the number of yearly citations relative to the ensemble of the articles published in ecology and indexed in the ‘‘Web of Science” data-base. Using a longitudinal data analysis, we could observe that the yearly number of citations of the Vigie-Nature articles is significantly higher than that of the other publications in the same domain. Furthermore, this excess of citations tends to steadily grow over time: Vigie-Nature publications are about 1.5 times more cited 3 years after publication, and 3 times more cited 11 years post-publication. These results suggest that large-scale biodiversity citizen science projects are susceptible to reach a high epistemic impact, when managed in specific ways which need to be clarified through further investigations.

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Section: Interpretation and Discussionmentioning

confidence: 99%

Measuring epistemic success of a biodiversity citizen science program: A citation study

2021

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“…As environmental predictors, we used 19 bioclimatic variables ( Table 2 ) from [ 41 ] for historical (1979–2013) and current climate (baseline) data and from the World Clim.v1.4 database ( , accessed on 15 March 2020) [ 42 ] for the future climate data for the 2050s (average for 2041–2060) and 2070s (average for 2061–2080). Variables representing the two future scenarios ((representative concentration pathway RCP 4.5 (intermediate scenario) and RCP 8.5 (very high emission scenario)) were an ensemble of 7 GCM Models (BCC-CSM1-1, GFDL-CM3, HadGEM2-ES, MIROC5, MIROC-CHEM, MIROC-ESM, NorESM1-M), because of their good predictive ability of climate for India [ 43 , 44 ]. Predictors were obtained at two-and-a-half-minute spatial resolution (approximately 5 km 2 per pixel), which is an adequate resolution for ecological niche models based only on climate variables [ 29 ].…”

Section: Methodsmentioning

confidence: 99%

Predicting the Potential Suitable Climate for Coconut (Cocos nucifera L.) Cultivation in India under Climate Change Scenarios Using the MaxEnt Model

Hebbar

Abhin

Jose

et al. 2022

Plants

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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.

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“…The other parameter values were kept in the default settings [32]. A total of 70% of the distribution point data were selected for training, and the rest were used for testing [33]. The Jackknife was used for testing the importance of environmental variables in a model with a small amount of the distribution point records [34].…”

Section: Distribution Modelingmentioning

confidence: 99%

The Influence of Climate Change on Three Dominant Alpine Species under Different Scenarios on the Qinghai–Tibetan Plateau

Wei

Wang

et al. 2021

Diversity

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The Qinghai–Tibetan Plateau (QTP) with high altitude and low temperature is one of the most sensitive areas to climate change and has recently experienced continuous warming. The species distribution on the QTP has undergone significant changes especially an upward shift with global warming in the past decades. In this study, two dominant trees (Picea crassifolia Kom and Sabina przewalskii Kom) and one dominant shrub (Potentilla parvifolia Fisch) were selected and their potential distributions using the MaxEnt model during three periods (current, the 2050s and the 2070s) were predicted. The predictions were based on four shared socio-economic pathway (SSPs) scenarios, namely, SSP2.6, SSP4.5, SSP7.0, SSP8.5. The predicted current potential distribution of three species was basically located in the northeastern of QTP, and the distribution of three species was most impacted by aspect, elevation, temperature seasonality, annual precipitation, precipitation of driest month, Subsoil CEC (clay), Subsoil bulk density and Subsoil CEC (soil). There were significant differences in the potential distribution of three species under four climate scenarios in the 2050s and 2070s including expanding, shifting, and shrinking. The total suitable habitat for Picea crassifolia shrank under SSP2.6, SSP4.5, SSP7.0 and enlarged under SSP8.5 in the 2070s. On the contrary, the total suitable habitat for Sabina przewalskii enlarged under SSP2.6, SSP4.5, SSP7.0 and shrank under SSP8.5 in the 2070s. The total suitable habitat for Potentilla parvifolia continued to increase with SSP2.6 to SSP8.5 in the 2070s. The average elevation in potentially suitable habitat for Potentilla parvifolia all increased except under SSP8.5 in the 2050s. Our study provides an important reference for the conservation of Picea crassifolia, Sabina przewalskii, Potentilla parvifolia and other dominant plant species on the QTP under future climate change.

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The expanding distribution of the Indian Peafowl (Pavo cristatus) as an indicator of changing climate in Kerala, southern India: A modelling study using MaxEnt

Cited by 58 publications

References 71 publications

Measuring epistemic success of a biodiversity citizen science program: A citation study

Measuring epistemic success of a biodiversity citizen science program: A citation study

Predicting the Potential Suitable Climate for Coconut (Cocos nucifera L.) Cultivation in India under Climate Change Scenarios Using the MaxEnt Model

The Influence of Climate Change on Three Dominant Alpine Species under Different Scenarios on the Qinghai–Tibetan Plateau

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