Predicting the probable impact of climate change on the distribution of threatened Shorea robusta forest in Purbachal, Bangladesh

Shishir, Sharmin; Mollah, Tanjinul Hoque; Tsuyuzaki, Shiro; Wada, Naohisa

doi:10.1016/j.gecco.2020.e01250

Cited by 12 publications

(9 citation statements)

References 51 publications

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“…Global climate change is an important driving factor to change the geographical distribution pattern of species [48]. Some species benefit from climate change, and their distribution will be expanded, while the habitats of some species on the contrary will be reduced [37,38,49,50]. Our research showed that under the SSP1-2.6 and SSP2-4.5 in 2050s, the total suitable area of C. medica L. var.…”

Section: Plos Onementioning

confidence: 73%

Suitability changes of Citrus medica L. var. sarcodactylis Swingle, a medicine-food plants affected by climate warming using the optimized MaxEnt model

Xia

Kazim²,

Nasir³

et al. 2023

PLoS ONE

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Climatic variables are important conditions for plant growth, development and reproduction. Citrus medica L. var. sarcodactylis Swingle (Rutaceae: Citrus) is one of the traditional bulk Chinese medicinal materials in China with the effects of bacteriostasis, anti-inflammatory, anti-oxidation, anti-cancer cells, regulating the immun. Analyzing the impact of climate change on geographical distribution of C. medica L. var. sarcodactylis can provide strong support for its production layout and agricultural zoning. In our paper, MaxEnt and ArcGIS were applied to simulate the suitable areas of C. medica L. var. sarcodactylis in China from the perspectives of bioclimate, soil, topographic factors and human activities, and the future climate scenarios generated by global climate models (GCMs) were selected to predict its suitable areas in 2050s and 2090s. Results showed that, 1) Under current climate condition, areas of the total, most, moderately and poorly suitable habitats of C. medica L. var. sarcodactylis in China were 177.36×104 km2, 22.27×104 km2, 51.96×104 km2 and 103.13×104 km2 respectively. The range of the most suitable habitat was the narrowest, which was located in the middle east of Sichuan, western Chongqing in the upstream of the Yangtze River Basin, southern Guizhou and western Guangxi in the upstream of the Pearl River Basin, central and southern Yunnan and Southeast Tibet in the Middle-Lower reaches of the Southwest River Basin and western Taiwan. 2) Under the future climate change scenarios, the total suitable area showed a significant increase trend in 2090s, and the change of most, moderately and poorly suitable habitats showed no obvious law. 3) Under SSP1-2.6, SSP2-4.5 and SSP5-8.5 scenarios, the centroid of the most suitable habitat of C. medica L. var. sarcodactylis would move to the northwest, southeast and southwest respectively.

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Section: Plos Onementioning

confidence: 73%

Suitability changes of Citrus medica L. var. sarcodactylis Swingle, a medicine-food plants affected by climate warming using the optimized MaxEnt model

Xia

Kazim²,

Nasir³

et al. 2023

PLoS ONE

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“…nov. , and sufficiently dense forested habitat is severely fragmented, including within these protected areas ( Global Forest Watch, 2014 ). Lowland coastal forests are imperiled habitats in Bangladesh ( Global Forest Watch, 2014 ) and the predicted rise in temperature and precipitation variability due to climate change will likely exacerbate their plight, further reducing available habitat ( Shishira et al, 2020 ).…”

Section: Discussionmentioning

confidence: 99%

A new species ofPhrynoglossusPeters, 1867; Dicroglossidae) from southeastern Bangladesh, with comments on the generaOccidozygaandPhrynoglossus

Trageser

Al-Razi

Maria

et al. 2021

PeerJ

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We describe a new cryptic species of Phrynoglossus from Chattogram Division, Bangladesh based on an integrative taxonomic analysis based on morphology, phylogenetics, and bioacoustics which unambiguously support the placement of the species in the genus Phrynoglossus. We also present a compilation of published morphological characters for all twelve Phrynoglossus species and two species of Occidozyga as well as comments on taxonomy, morphology, and geographic distribution for the two genera. The new species is found to be most morphologically similar to P. martensii, however a provided set of character states visibly differentiates these two species. Finally, habitat for Phrynoglossus swanbornorum sp. nov. is highly fragmented and faces imminent threats from development and agriculture, and although it is confirmed to occur within government protected areas in the southeastern region of Bangladesh, few wildlife regulations are enforced within them. Thus, following IUCN criteria, we consider the new species as Endangered based on criteria B1ab(i,ii,iii,iv) + 2ab(i,ii,iii,iv).

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“…(Maheswari et al ., 2015). The vital bioclimatic variables elucidating the future suitable Tossa distribution were BIO11, BIO17, BIO14, BIO18 and BIO1 for both of the climatic models, and results suggested that BIO14, BIO7 and BIO11 were the most common contributors (Shishir et al ., 2020). On the other hand, the EdGCM modelling results showed a comparable negative impact on the Tossa distributions.…”

Section: Discussionmentioning

confidence: 99%

Climate change impact on the distribution of Tossa jute using maximum entropy and educational global climate modelling

et al. 2021

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Tossa (Corchorus olitorius L.) is a significant cash crop, cultivated commercially in the lower flood plain of Bangladesh. The climatic regimes in Bangladesh are changing as well as the world does. However, this species is threatened by climate change. Occurrences of data on threatened and endangered species are frequently sparse which makes it difficult to analyse the species suitable habitat distribution using various modelling approaches. The current paper used maximum entropy (Maxent) and educational global climate model (EdGCM) modelling to predict and conserve the suitable habitat distributions for Tossa species in Bangladesh to the year 2100. Nine environmental variables, 239 occurrence data and two Representative Concentration Pathway scenarios (RCP4.5 and RCP8.5) were used for the Maxent modelling to project the impact of climate change on the Tossa distributions. Furthermore, the EdGCM was used to study the climatic space suitability for the Tossa species in the context of Bangladesh. Both of the climatic scenarios were used for the prediction to the year 2100. The Maxent model performed better than random for the Tossa species with a high AUC value of 0.86. Under the RCP scenarios, the Maxent model predicted habitat reduction for RCP4.5 is 2%, RCP8.5 is 9% and EdGCM is 10.2% from the current localities. The predictive modelling approach presented here is promising and can be applied to other important species for conservation planning, monitoring and management, especially those under the threat of extinction due to climate change.

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Predicting the probable impact of climate change on the distribution of threatened Shorea robusta forest in Purbachal, Bangladesh

Cited by 12 publications

References 51 publications

Suitability changes of Citrus medica L. var. sarcodactylis Swingle, a medicine-food plants affected by climate warming using the optimized MaxEnt model

Suitability changes of Citrus medica L. var. sarcodactylis Swingle, a medicine-food plants affected by climate warming using the optimized MaxEnt model

A new species ofPhrynoglossusPeters, 1867; Dicroglossidae) from southeastern Bangladesh, with comments on the generaOccidozygaandPhrynoglossus

Climate change impact on the distribution of Tossa jute using maximum entropy and educational global climate modelling

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