Evaluating the Influence of Climate Change on Sophora moorcroftiana (Benth.) Baker Habitat Distribution on the Tibetan Plateau Using Maximum Entropy Model

Fumei, Xin; Liu, Jiming; Chen, Chang; Wang, Yuting; Jia, Liming

doi:10.3390/f12091230

Cited by 12 publications

(7 citation statements)

References 57 publications

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“…Previous studies on S. moorcroftiana have mainly focused on its population distribution ( Liu et al., 2020 ; Xin et al., 2021 ; Yang et al., 2021 ), soil seed banks ( Zhao et al., 2007 ), medicinal functions ( Wang et al., 2014 ; Luo et al., 2018 ), analysis of transcriptome ( Li et al., 2015 ) and verification of gene functions ( Li et al., 2017 ). In this study, we report, for the first time, the phenotypic and genotypic variations in nine seed traits and the mean repeatability of 15 accessions of S. moorcroftiana .…”

Section: Discussionmentioning

confidence: 99%

Estimation of morphological variation in seed traits of Sophora moorcroftiana using digital image analysis

Dong

Guo

et al. 2023

Front. Plant Sci.

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Sophora moorcroftiana is a leguminous plant endemic to the Qinghai-Tibet Plateau. It has excellent abiotic stress tolerance and is considered an ideal species for local ecological restoration. However, the lack of genetic diversity in the seed traits of S. moorcroftiana hinders its conservation and utilization on the plateau. Therefore, in this study, genotypic variation and phenotypic correlations were estimated for nine seed traits among 15 accessions of S. moorcroftiana over two years, 2014 and 2019, respectively from 15 sample points. All traits evaluated showed significant (P< 0.05) genotypic variation. In 2014, accession mean repeatability was high for seed perimeter, length, width, and thickness, and 100-seed weight. In 2019, mean repeatability for seed perimeter and thickness, and 100-seed weight were high. The estimates of mean repeatability for seed traits across the two years ranged from 0.382 for seed length to 0.781 for seed thickness. Pattern analysis showed that 100-seed weight was significantly positively correlated with traits such as seed perimeter, length, width, and thickness, and identified populations with breeding pool potential. In the biplot, principal components 1 and 2 explained 55.22% and 26.72% of the total variation in seed traits, respectively. These accessions could produce breeding populations for recurrent selection to develop S. moorcroftiana varieties suitable for restoring the fragile ecological environment of the Qinghai-Tibet Plateau.

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Section: Discussionmentioning

confidence: 99%

Estimation of morphological variation in seed traits of Sophora moorcroftiana using digital image analysis

Dong

Guo

et al. 2023

Front. Plant Sci.

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“…MaxEnt software (https://biodiversityinformatics.amnh.org, accessed on 15 December 2022) was used for the modeling, which requires environmental data with species presence. MaxEnt has been widely used in many studies ranging from endangered species prediction to disease spreading [42,43]. To model the current and future distribution of Dipteryx spp., 36 variables and attendance data were used.…”

Section: Current and Future Distribution Modeling In Maxentmentioning

confidence: 99%

Current and Future Distribution of Shihuahuaco (Dipteryx spp.) under Climate Change Scenarios in the Central-Eastern Amazon of Peru

Cárdenas,

Bravo,

Barboza

et al. 2023

Sustainability

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The consequences of climate change influence the distribution of species, which plays a key role in ecosystems. In this work, the modeling of the current and potential future distribution was carried out under different climate change scenarios of a tree species of high economic and commercial value, Dipteryx spp. This is a hardwood species that plays an important role in carbon sequestration, providing food and nesting for wildlife species, reaching more than 40 m in height with an average diameter of 70 to 150 cm. This species is currently threatened by overexploitation. Thirty-six bioclimatic, topographic and edaphic variables with ~1 km2 spatial resolution obtained from the WorldClim, SoilGrids and SRTM databases where used. Highly correlated variables were identified with the MaxEnt software for forecasting how the species distribution will be affected until the year 2100, according to the climate scenarios SPP1-2.6, SSP2-4.5, SSP3-7.0, SSP5-8.5, representing the periods 2021–2040, 2041–2060, 2061–2080 and 2081–2100, respectively. The AUC accuracy value of 0.88 to 0.89 was found for the distribution models and the highest contributing variables used were Bio 5, precipitation, Bio 2, and Bio 14. In the climate scenario SPP1-2.6 (Bio 5, precipitation and Bio 2) in 2061–2080, suitable and very suitable habitats represented 30.69% of the study area (2616 ha and 586.97 ha, respectively) and those increased by 1.75% under current climate conditions, and the suitable and unsuitable habitats represented 69.31% of the total area. The results of this research provide valuable information on the current and future distribution of the species and identify zones that can be used as the basis for the creation of conservation areas, formulation of restoration projects, reforestation and sustainable management to avoid the extinction of the species in the face of the effects of climate change.

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“…Sophora moorcroftiana is an indigenous pioneer shrub that distributed widely in the arid valley of Yarlung Zangbo River, Tibet, China (Liao et al 2021). It exhibits strong tolerance to drought and nutrient de cit, and is considered as a key species for revegetation of degraded ecosystems in arid regions (Liu et al 2006;Xin et al 2021). Although S. moorcroftiana has received much attentions on its growth, distribution, and biomass allocation (Zhao et al 2007;Cui et al 2017;Xin et al 2021), little information is available on the C allocation of S. moorcroftiana in response to drought and nutrient de cit.…”

Section: Introductionmentioning

confidence: 99%

“…It exhibits strong tolerance to drought and nutrient de cit, and is considered as a key species for revegetation of degraded ecosystems in arid regions (Liu et al 2006;Xin et al 2021). Although S. moorcroftiana has received much attentions on its growth, distribution, and biomass allocation (Zhao et al 2007;Cui et al 2017;Xin et al 2021), little information is available on the C allocation of S. moorcroftiana in response to drought and nutrient de cit. In this study, we investigated the effects of drought, N de cit and P de cit on recent C allocation of S. moorcroftiana in plant-soilmicrobe system.…”

Section: Introductionmentioning

confidence: 99%

Effects of drought and nutrient deficit on the allocation of recently fixed carbon in plant-soil-microbe system

Xia¹,

Zhang²,

Li³

et al. 2022

Preprint

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Background and Aims Carbon (C) allocation plays important role in plant adaptation to water and nutrient stress. However, the effects of drought and nutrient deficit on the allocation of recently fixed C in plant-soil-microbe system remain largely unknown. Methods We studied the response of C allocation of Sophora moorcroftiana (an indigenous pioneer plant in Tibet) in plant-soil-microbe system to drought, nitrogen (N) and phosphorus (P) deficit using a microcosm experiment. The 13CO2 continuous labeling was used to trace C transport through the plant-soil-microbe system. Results Drought significantly reduced C allocation to stem and root but increased allocation to soil. Deficit of N and P significantly increased C allocation to root under well-watered conditions, while P deficit significantly increased allocation to stem but decreased allocation to leaf under drought conditions. Carbon allocation to microbes was mainly affected by nutrient deficit, and 13C amounts in microbial biomass was decreased by N deficit and increased by P deficit. Stem 13C amount was positively related to net photosynthetic rate and leaf 13C amount, suggesting that plants preferentially allocate C to stem. Soil 13C amount decreased and 13C amount in microbial biomass first decreased and then increased with increasing plant 13C amount, indicating that high plant C supply did not drive high amounts of C transferred to soil and microbes. Conclusion We proved that drought and nutrient deficit interactively affected C allocation in plant-soil-microbe system, and revealed a U-shaped relationship between plant C supply and the amounts of C transferred to microbes.

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Evaluating the Influence of Climate Change on Sophora moorcroftiana (Benth.) Baker Habitat Distribution on the Tibetan Plateau Using Maximum Entropy Model

Cited by 12 publications

References 57 publications

Estimation of morphological variation in seed traits of Sophora moorcroftiana using digital image analysis

Estimation of morphological variation in seed traits of Sophora moorcroftiana using digital image analysis

Current and Future Distribution of Shihuahuaco (Dipteryx spp.) under Climate Change Scenarios in the Central-Eastern Amazon of Peru

Effects of drought and nutrient deficit on the allocation of recently fixed carbon in plant-soil-microbe system

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