Prediction of potential distribution of soybean in the frigid region in China with MaxEnt modeling

Gong, Lijuan; Li, Xiufen; Wu, Shuang; Jiang, Lili

doi:10.1016/j.ecoinf.2022.101834

Cited by 23 publications

(14 citation statements)

References 35 publications

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“…The MaxEnt model has been widely used in the prediction of economy, crops, wild protected plants, invasive plants and in other suitable areas [31,32,[46][47][48]. In this study, MaxEnt combined with ArcGIS and ZONATION software was used to predict suitable areas for S canadensis in Guizhou Province and determine its invasion risk areas.…”

Section: Discussionmentioning

confidence: 99%

Prediction of suitable areas and division of key monitoring zones for Solidago canadensis in Guizhou Province, China

Zhang,

Wang,

Sun

et al. 2024

Environ. Res. Commun.

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Comprehending invasive alien species’ potential habitat area and spread trend are of great importance for effective prevention and control strategy and prevention of spread. However, previous studies have mainly been based on large regional scales (national or global level). Research on the smaller regional scale of ecologically fragile karst makes the prevention and control measures more feasible and targeted. For invasive Solidago canadensis, based on an MaxEnt model and ArcGIS, we determined its current and future potential distributions. The main drivers of S. canadensis distribution were precipitation changes and human activities. S. canadensis occurrence probability initially increased, and then decreased with increased precipitation variables, and increased rapidly initially, then gradually with increasing human footprint. Under current climate conditions, S. canadensis suitable area is 8.13×104 km2, with the highly suitable area concentrated in Guiyang, east of Bijie, Zunyi, Anshun and Duyun. Under climate conditions of the 2050s, the suitable area drops slightly to 8.00×104 km2. Under climate conditions of the 2070s, the suitable area expands to 8.31×104 km2. And move toward the south within the studyarea. Based on the modelling and space optimization software ZONATION key monitoring area covers 79,857 km2, including a primary monitoring area mainly distributed in Guiyang, east of Bijie, northeast of Anshun and northwest of Duyun, a secondary monitoring area mainly outside the primary monitoring area, and a third-level monitoring area widely distributed in Zunyi, Tongren, Duyun, west of Kaili and Anshun and east of Bijie. Linking our results with this specie’s invasive power, we thus recommended to increase the prevention and control sites in the first-level monitoring area, and continue to pay attention to the risk of the southward spread of this species.

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Section: Discussionmentioning

confidence: 99%

Prediction of suitable areas and division of key monitoring zones for Solidago canadensis in Guizhou Province, China

Zhang,

Wang,

Sun

et al. 2024

Environ. Res. Commun.

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“…To assess the overall performance of the MaxEnt model simulation results, the threshold‐independent analysis of the receiver operating characteristic (ROC) curve ws employed (Gong et al, 2022 ; Porfirio et al, 2014 ). However, it has been shown that AUC values are inadequate in evaluating models of the potential distribution of species, so we used TSS (true skill statistics) as a complementary (Ahmadi et al, 2023 ; Jiménez‐Valverde, 2012 ).…”

Section: Methodsmentioning

confidence: 99%

Analysis of the distribution pattern of the ectomycorrhizal fungus Cenococcum geophilum under climate change using the optimized MaxEnt model

Zheng,

Yuan,

Matsushita

et al. 2023

Ecology and Evolution

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Cenococcum geophilum (C. geophilum) is a widely distributed ectomycorrhizal fungus that plays a crucial role in forest ecosystems worldwide. However, the specific ecological factors influencing its global distribution and how climate change will affect its range are still relatively unknown. In this study, we used the MaxEnt model optimized with the kuenm package to simulate changes in the distribution pattern of C. geophilum from the Last Glacial Maximum to the future based on 164 global distribution records and 17 environmental variables and investigated the key environmental factors influencing its distribution. We employed the optimal parameter combination of RM = 4 and FC = QPH, resulting in a highly accurate predictive model. Our study clearly shows that the mean temperature of the coldest quarter and annual precipitation are the key environmental factors influencing the suitable habitats of C. geophilum. Currently, appropriate habitats of C. geophilum are mainly distributed in eastern Asia, west‐central Europe, the western seaboard and eastern regions of North America, and southeastern Australia, covering a total area of approximately 36,578,300 km2 globally. During the Last Glacial Maximum and the mid‐Holocene, C. geophilum had a much smaller distribution area, being mainly concentrated in the Qinling‐Huaihe Line region of China and eastern Peninsular Malaysia. As global warming continues, the future suitable habitat for C. geophilum is projected to shift northward, leading to an expected expansion of the suitable area from 9.21% to 21.02%. This study provides a theoretical foundation for global conservation efforts and biogeographic understanding of C. geophilum, offering new insights into its distribution patterns and evolutionary trends.

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“…The filtered environmental factors and occurrence records data were used to predict the potential habitat distribution and range of P. flavescens by MaxEnt model version 3.3.3k [22]. Of all the occurrence data used for analysis, 25% was randomly selected for testing and 75% was used for training [16,29,30,[43][44][45]. Then set 1000 iterations to run these processes until a threshold of 0.00001 indicates convergence [30,45].…”

Section: Statistical Analysis and Suitable Habitat Modelingmentioning

confidence: 99%

Projected Effects of Climate Change on Species Range of Pantala flavescens, a Wandering Glider Dragonfly

Liao

Wang

et al. 2023

Biology

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Dragonflies are sensitive to climate change due to their special habitat in aquatic and terrestrial environments, especially Pantala flavescens, which have extraordinary migratory abilities in response to climate change on spatio-temporal scales. At present, there are major gaps in the documentation of insects and the effects of climatic changes on the habitat and species it supports. In this study, we model the global distribution of a wandering glider dragonfly, P. flavescens, and detected the important environmental factors shaping its range, as well as habitat shifts under historical and future warming scenarios. The results showed a global map of species ranges of P. flavescens currently, including southern North America, most of South America, south-central Africa, most of Europe, South, East and Southeast Asia, and northern Oceania, in total, ca. 6581.667 × 104 km2. BIO5 (the max temperature of warmest month) and BIO13 (the precipitation of wettest month) greatly explained its species ranges. The historic refugia were identified around the Great Lakes in the north-central United States. Future warming will increase the total area of suitable habitat and shift the type of suitable habitat compared to the current distribution. The habitat suitability of P. flavescens decreased with elevation, global warming forced it to expand to higher elevations, and the habitat suitability of P. flavescens around the equator increased with global warming. Overall, our study provides a global dynamic pattern of suitable habitats for P. flavescens from the perspective of climate change, and provides a useful reference for biodiversity research and biological conservation.

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Prediction of potential distribution of soybean in the frigid region in China with MaxEnt modeling

Cited by 23 publications

References 35 publications

Prediction of suitable areas and division of key monitoring zones for Solidago canadensis in Guizhou Province, China

Prediction of suitable areas and division of key monitoring zones for Solidago canadensis in Guizhou Province, China

Analysis of the distribution pattern of the ectomycorrhizal fungus Cenococcum geophilum under climate change using the optimized MaxEnt model

Projected Effects of Climate Change on Species Range of Pantala flavescens, a Wandering Glider Dragonfly

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