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Fig 1.

Stages of S. italica processing.

(a) Unprocessed, (b) Harvesting, (c) After shelling, (d) Processed products.

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Fig 2.

Flowchart displaying the steps of the present study.

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Fig 3.

Global occurrence records of S. italica.

World administrative maps were acquired from the free National Earth System Science Data Center (http://www.geodata.cn).

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Fig 4.

Heat map for correlation analysis of environmental variables.

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Fig 5.

AUC, Kappa and TSS values of MaxEnt.

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Fig 6.

Suitable areas for S. italica under different climate change scenarios(104 km2).

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Fig 7.

Current global geographical distributions of S. italica.

World administrative maps were acquired from the free National Earth System Science Data Center (http://www.geodata.cn).

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Fig 8.

Potential global geographical distribution of S. italica in the 2050s and 2070s.

(a) 2050s, SSP1-2.6; (b) 2050s, SSP2-4.5g; (c) 2050s, SSP3-7.0; (d)2050s SSP5-8.5; (e) 2070s, SSP1-2.6; (f) 2070s, SSP2-4.5g; (g) 2070s, SSP3-7.0; (h)2070s SSP5-8.5. world administrative maps were acquired from the free National Earth System Science Data Center (http://www.geodata.cn).

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Fig 9.

Environmental variables and their contributions of S. italica.

(a) 2050s, SSP1-2.6; (b) 2050s, SSP2-4.5g; (c) 2050s, SSP3-7.0; (d)2050s SSP5-8.5; (e) 2070s, SSP1-2.6; (f) 2070s, SSP2-4.5g; (g) 2070s, SSP3-7.0; (h)2070s SSP5-8.5; (i) current.

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Fig 10.

Response curves of existence probability of S. italica.

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Fig 11.

Changes in the potential geographical distribution of S. italica under climate change scenarios.

In the future. World administrative maps were acquired from the free National Earth System Science Data Center (http://www.geodata.cn).

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