Mapping the Global Potential Geographical Distribution of Black Locust (Robinia Pseudoacacia L.) Using Herbarium Data and a Maximum Entropy Model

Li, Guoqing; Xu, Guanghua; Guo, Ke; Du, Sheng

doi:10.3390/f5112773

Cited by 73 publications

(44 citation statements)

References 41 publications

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“…The remaining five variables were used in Holdridge life zone system [27] and Kira index system [28], which are climate-vegetation models to describe the vegetation belts in the world and East Asia separately. These 13 variables have been successfully applied to the prediction of suitable habitat for black locust [29] and Chinese sea buckthorn [17].…”

Section: Sdm Model Occurrence Data and Climatic Variablesmentioning

confidence: 99%

Projecting the Range Shifts in Climatically Suitable Habitat for Chinese Sea Buckthorn under Climate Change Scenarios

Huang

et al. 2017

Forests

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Understanding the impact of climate change on range shifts in climatically suitable habitats of tree species is important for national afforestation planning, which can enhance the adaptation of tree plantation to climate change through movement of tree to follow suitable climatic conditions. Here, we overlap the current and future climate-related ranges of Chinese sea buckthorn (Hippophae rhamnoides subsp. sinensis), an important tree used for afforestation in China, to estimate the range shift in three geographic dimensions (latitude, longitude and elevation) between 2000 and 2070, which are projected by the maximum entropy algorithm (MaxEnt) under current climate conditions and four climate change scenarios (RCP2.6, RCP4.5, RCP6.0, and RCP8.5). Our results show that the performance of the MaxEnt is highly accurate, with test AUC (area under the receiver operating characteristic curve) value of 0.91, Kappa value of 0.83 and predicted accuracy of 92%. About 10.7% area of land in China is climatically suitable for Chinese sea buckthorn plantation. Low representative concentration paths will have more effect on loss of climatic range and less effect on expansion of climatic range for Chinese sea buckthorn, while the impacts of high representative concentration path is the opposite. The centroids of climatic ranges will shift westward or northwestward at the rate of 10.4-22 km per decade, and the centroids of altitude will shift upward at the rate of 43-128 m per decade. The expansion area of climatically suitable habitat, covering 2.6-5.2 × 10 5 km 2 , is expected to be mainly located in parts of Qinghai, Ningxia, Gansu, Sichuan, Liaoning, and Jilin provinces; these areas should be monitored for planting of Chinese sea buckthorn in the future.

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Section: Sdm Model Occurrence Data and Climatic Variablesmentioning

confidence: 99%

Projecting the Range Shifts in Climatically Suitable Habitat for Chinese Sea Buckthorn under Climate Change Scenarios

Huang

et al. 2017

Forests

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“…1, Fabaceae family) is native to the Eastern United States (Kennedy, 1983) and was introduced into Europe in the early 17th century (Cierjacks et al, 2013). Several parts of this tree have different uses (Barrett, Mebrathu, & Hanover, 1990), accounting for its widespread intentional introduction throughout temperate and subtropical regions of the world (Li, Xu, Guo, & Du, 2014). The species has efficiently spread subsequently and is now classified as invasive in many countries (Richardson & Rejmanek, 2011).…”

mentioning

confidence: 99%

Dealing with paralogy in RADseq data: in silico detection and single nucleotide polymorphism validation in Robinia pseudoacacia L.

Verdu

Guichoux

Quevauvillers

et al. 2016

Ecology and Evolution

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The RADseq technology allows researchers to efficiently develop thousands of polymorphic loci across multiple individuals with little or no prior information on the genome. However, many questions remain about the biases inherent to this technology. Notably, sequence misalignments arising from paralogy may affect the development of single nucleotide polymorphism (SNP) markers and the estimation of genetic diversity. We evaluated the impact of putative paralog loci on genetic diversity estimation during the development of SNPs from a RADseq dataset for the nonmodel tree species Robinia pseudoacacia L. We sequenced nine genotypes and analyzed the frequency of putative paralogous RAD loci as a function of both the depth of coverage and the mismatch threshold allowed between loci. Putative paralogy was detected in a very variable number of loci, from 1% to more than 20%, with the depth of coverage having a major influence on the result. Putative paralogy artificially increased the observed degree of polymorphism and resulting estimates of diversity. The choice of the depth of coverage also affected diversity estimation and SNP validation: A low threshold decreased the chances of detecting minor alleles while a high threshold increased allelic dropout. SNP validation was better for the low threshold (4×) than for the high threshold (18×) we tested. Using the strategy developed here, we were able to validate more than 80% of the SNPs tested by means of individual genotyping, resulting in a readily usable set of 330 SNPs, suitable for use in population genetics applications.

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“…The output ASCII grid produced by Maxent is continuous probability data ranging from 0 to 1, which represents the habitat suitability of a species in a specified region. Based on previous research (Liu et al 2013;Li et al 2014;Liu et al 2016), we adopted 0.7 as the threshold to transform the probability data into binary data (0/1). Grids, with probability higher than 0.7, were defined as suitable habitats.…”

Section: Model Fittingmentioning

confidence: 99%

“…material 1: Table S2 and Table S3). Li et al (2014) deemed that grids assigned prob-abilities higher than 0.6 could be reasonably defined as suitable habitats. Additionally, Liu et al (2013Liu et al ( , 2016 investigated which thresholds could be used confidently to transform probability data into binary data (0/1), reporting that the thresholds calculated by most algorithms are lower than 0.8.…”

Section: Threshold Adopted To Identify the Suitable Habitatsmentioning

confidence: 99%

Habitat preference and potential distribution of Magnolia officinalis subsp. officinalis and M. o. subsp. biloba in China

Song¹,

Liu²,

Gao³

2019

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Magnolia officinalis subsp. officinalis and M. officinalis subsp. biloba are important medicinal plants in China. The bark of these two subspecies is commonly used in the production of a widely-used Chinese traditional medicine named ‘Houpu’. In recent years, M. o. subsp. officinalis and M. o. subsp. biloba have become increasingly threatened owing to the over-harvesting of their bark and the fragmentation of their habitats. In this study, we aimed to support the conservation and cultivation of these two subspecies in China by: (1) assessing the relationship between numerous environmental variables and the geographical distributions of the subspecies; (2) analysing the environmental characteristics of suitable habitats for both subspecies and predicting the spatial distribution of these habitats in China; and (3) identifying conservation areas of both subspecies in China via overlay analysis. We also assessed the degree of human disturbance within suitable habitats. We found that temperature was a major determinant for the distribution of M. o. subsp. officinalis. Conversely, the distribution of M. o. subsp. biloba was primarily dependent on precipitation rather than temperature. Distinct habitat preferences were observed between M. o. subsp. officinalis and M. o. subsp. biloba. Suitable habitats of M. o. subsp. officinalis were primarily distributed in the northern subtropical areas of China, with greater fluctuations in ambient temperature, lower extreme temperatures, less precipitation and greater fluctuations in precipitation. Habitats suitable for M. o. subsp. biloba were highly fragmented and were distributed in the central subtropical areas of China. We found that a large proportion of suitable habitats were not in the protected areas and that they were significantly disturbed by human activity. This analysis could provide useful information for the conservation of both M. o. subsp. officinalis and M. o. subsp. biloba and could aid in the selection of cultivation sites.

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Mapping the Global Potential Geographical Distribution of Black Locust (Robinia Pseudoacacia L.) Using Herbarium Data and a Maximum Entropy Model

Cited by 73 publications

References 41 publications

Projecting the Range Shifts in Climatically Suitable Habitat for Chinese Sea Buckthorn under Climate Change Scenarios

Projecting the Range Shifts in Climatically Suitable Habitat for Chinese Sea Buckthorn under Climate Change Scenarios

Dealing with paralogy in RADseq data: in silico detection and single nucleotide polymorphism validation in Robinia pseudoacacia L.

Habitat preference and potential distribution of Magnolia officinalis subsp. officinalis and M. o. subsp. biloba in China

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