Characterization of the complete plastid genome sequence of the endangered species Bretschneidera sinensis

Dong, Fengqin; Liu, Xinhong; Zhang, Yanqin; Lu, Ruisen; Zheng, Z L; Shen, Xin; Li, Yingang

doi:10.1007/s12686-018-1010-7

Cited by 2 publications

(7 citation statements)

References 8 publications

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“…Bretschneidera sinensis Hemsl., a deciduous tree species of montotypic genera belongs to the family Akaniaceae, is a relic species of the Tertiary tropical ora mainly occurring in evergreen broad-leaved or mixed evergreen and deciduous forests in mountainous areas at altitudes of 300-1,700 m above sea level in Southern China (Dong et al 2019;Li et al 2016;Wang et al 2018). The species is listed as endangered on the IUCN Red List of Threatened Species (IUCN 2020, http://www.iucnredlist.org).…”

Section: Plant Species and Collectionsmentioning

confidence: 99%

“…According to recent studies, most of the populations are seriously threatened (Hu et al 2014) and the species also suffers from reproductive failure due to low seed productivity and seed germination rates (Qiao et al 2012). Geographical range of the endangered species extents from Southern China to India, Indo China, Vietnam, and Taiwan (Dong et al 2019;Hu et al 2014;Kumar et al 2017;Li et al 2016;Wang et al 2018). Taiwan is a continental island possessed isolated population of B. sinenis at geographical margin of the Eurasia continent.…”

Section: Plant Species and Collectionsmentioning

confidence: 99%

“…The endangered plant species is majorly distributed in Southern China and marginal populations of the species extend to Indo China, India and Taiwan (Dong et al 2019;Hu et al 2014;Kumar et al 2017;Li et al 2016;Wang et al 2018). Populations of the species are quiet small and have suffered from isolation and fragmentation of habitats (Dong et al 2019). Distribution patterns of the endangered plant species in continental region and local area were projected by RF based on the WorldClim and local climate datasets to evaluate geographical extent and locally restricted distribution range and were expected to provide valuable information for effective conservation.…”

Section: Introductionmentioning

confidence: 99%

“…Species distribution models (SDMs) can provide useful predictions for insu ciently surveyed areas and provide guidelines for conservation planning tasks, such as identifying suitable habitats and seeking new populations for rare species (Fois et al 2015;Mi et al 2017). In the last century, economic development, urbanization, and population growth led to a highly modi cation of natural ecosystems, while habitat of the plant species were fragmented and currently formed by complex mosaics of rural or urban areas, abandoned grasslands, agricultural landscapes, and secondary forests (Dong et al 2019;Kier et al 2009). Thus, accurate prediction of current distribution range for the designation of effective protected areas is necessary for the conservation of rare or endangered plant species.…”

Section: Introductionmentioning

confidence: 99%

“…In this study, the WorldClim and local climate datasets were applied for RF and PCA to project potential distribution range and to construct climate space of the endangered plant species, Bretschneidera sinensis Hemsl. The endangered plant species is majorly distributed in Southern China and marginal populations of the species extend to Indo China, India and Taiwan (Dong et al 2019;Hu et al 2014;Kumar et al 2017;Li et al 2016;Wang et al 2018). Populations of the species are quiet small and have suffered from isolation and fragmentation of habitats (Dong et al 2019).…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Advantage and Disadvantage of Global and Local Climate Datasets on Modeling Species Distribution at Continental and Landscape Scales

Liao

Chang

Chen

2021

Preprint

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Species distribution model based on global and local climate datasets were hypothesized to have advantages on projecting distribution range at continental and landscape scales, respectively. Random Forest (RF) and principle components analysis (PCA) aimed to project potential distribution range and to construct climate space of Bretschneidera sinensis in continental East Asia (CEA) and northern Taiwan (NTWN) based on the WorldClim and local climate datasets. Geographical extent of the endangered species at continental scale was available to be projected by RF based on the WorldClim dataset, whereas RF had projected bias map that presented gridded squares at edges of the potential distribution range. At landscape scale, projection map of RF in NTWN based on the WorldClim dataset presented gridded distribution far from empirical distribution pattern, while that based on local climate dataset presented a distribution pattern relevant to elevation and topography. PCA had revealed climate differentiation between continental and island populations. Evidently, local climate dataset had reflected climate heterogeneity at landscape scale and is essential for identifying local adaptation of island population at geographical margin of the endangered species. However, huge number of gridded cells generated from local climate interpolation method for projecting potential distribution range at landscape scale is not available to expand geographical extent to continental region. Global climate dataset has the advantage on modeling geographical extent of plant species at continental scale, while local climate dataset used for modelling species distribution enables conservationists to delineate reliable conservation areas in fragmented natural habitats at landscape scale.

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Section: Plant Species and Collectionsmentioning

confidence: 99%

Section: Plant Species and Collectionsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Advantage and Disadvantage of Global and Local Climate Datasets on Modeling Species Distribution at Continental and Landscape Scales

Liao

Chang

Chen

2021

Preprint

View full text Add to dashboard Cite

show abstract

Advantage and Disadvantage of Global and Local Climate Datasets on Modeling Species Distribution at Continental and Landscape Scales

Liao

Chang

Chen

2021

Preprint

View full text Add to dashboard Cite

Species distribution model based on global and local climate datasets were hypothesized to have advantages on projecting distribution range at continental and landscape scales, respectively. Random Forest (RF) and principle components analysis (PCA) aimed to project potential distribution range and to construct climate space of Bretschneidera sinensis in continental East Asia (CEA) and northern Taiwan (NTWN) based on the WorldClim and local climate datasets. Geographical extent of the endangered species at continental scale was available to be projected by RF based on the WorldClim dataset, whereas isolation and fragmentation of natural habitat had not been presented by the projection map in CEA. At landscape scale, projection map of RF in NTWN based on the WorldClim dataset presented gridded distribution far from empirical distribution pattern, while that based on local climate dataset presented a distribution pattern relevant to elevation and topography. PCA had revealed climate differentiation between continental and island populations. Evidently, local climate dataset is essential for identifying ecological adaptation of island population at geographical margin of the endangered species. Meteorological data interpolated and altitudinal adjusted by empirical elevation lapse rate calculated for each watershed had captured climate heterogeneity in mountainous area, whereas it generated huge number of gridded cells that is not available to expand this method to continental region. Global climate dataset has the advantage on modeling geographical extent of plant species at continental scale, while local climate dataset used for modelling species distribution enables conservationists to delineate reliable conservation areas in fragmented natural habitats at landscape scale.

show abstract

Characterization of the complete plastid genome sequence of the endangered species Bretschneidera sinensis

Cited by 2 publications

References 8 publications

Advantage and Disadvantage of Global and Local Climate Datasets on Modeling Species Distribution at Continental and Landscape Scales

Advantage and Disadvantage of Global and Local Climate Datasets on Modeling Species Distribution at Continental and Landscape Scales

Advantage and Disadvantage of Global and Local Climate Datasets on Modeling Species Distribution at Continental and Landscape Scales

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