Reconstructing the Invasive History and Potential Distribution Prediction of Amaranthus palmeri in China

Jiao, Xinyu; Long, Mei; Li, Jiayi; Yang, Qingyu; Liu, Zhixiong

doi:10.3390/agronomy13102498

Cited by 6 publications

(8 citation statements)

References 73 publications

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“…A total of 240 combinations were adjusted using the ENMeval package. Subsequently, the best parameter combination was selected for modeling based on a delta.AICc = 0 [ 37 ]. The delta.AICc value was a measure of the difference in the AICc (Akaike Information Criterion corrected for small sample sizes) between models, and a value of 0 indicated the best-fitting model in terms of complexity and goodness of fit.…”

Section: Methodsmentioning

confidence: 99%

Prediction of Historical, Current, and Future Configuration of Tibetan Medicinal Herb Gymnadenia orchidis Based on the Optimized MaxEnt in the Qinghai–Tibet Plateau

Li,

Zhang,

Yang

et al. 2024

Plants

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Climate change plays a pivotal role in shaping the shifting patterns of plant distribution, and gaining insights into how medicinal plants in the plateau region adapt to climate change will be instrumental in safeguarding the rich biodiversity of the highlands. Gymnosia orchidis Lindl. (G. orchidis) is a valuable Tibetan medicinal resource with significant medicinal, ecological, and economic value. However, the growth of G. orchidis is severely constrained by stringent natural conditions, leading to a drastic decline in its resources. Therefore, it is crucial to study the suitable habitat areas of G. orchidis to facilitate future artificial cultivation and maintain ecological balance. In this study, we investigated the suitable zones of G. orchidis based on 79 occurrence points in the Qinghai–Tibet Plateau (QTP) and 23 major environmental variables, including climate, topography, and soil type. We employed the Maximum Entropy model (MaxEnt) to simulate and predict the spatial distribution and configuration changes in G. orchidis during different time periods, including the last interglacial (LIG), the Last Glacial Maximum (LGM), the Mid-Holocene (MH), the present, and future scenarios (2041–2060 and 2061–2080) under three different climate scenarios (SSP126, SSP370, and SSP585). Our results indicated that annual precipitation (Bio12, 613–2466 mm) and mean temperature of the coldest quarter (Bio11, −5.8–8.5 °C) were the primary factors influencing the suitable habitat of G. orchidis, with a cumulative contribution of 78.5%. The precipitation and temperature during the driest season had the most significant overall impact. Under current climate conditions, the suitable areas of G. orchidis covered approximately 63.72 × 104/km2, encompassing Yunnan, Gansu, Sichuan, and parts of Xizang provinces, with the highest suitability observed in the Hengduan, Yunlin, and Himalayan mountain regions. In the past, the suitable area of G. orchidis experienced significant changes during the Mid-Holocene, including variations in the total area and centroid migration direction. In future scenarios, the suitable habitat of G. orchidis is projected to expand significantly under SSP370 (30.33–46.19%), followed by SSP585 (1.41–22.3%), while contraction is expected under SSP126. Moreover, the centroids of suitable areas exhibited multidirectional movement, with the most extensive displacement observed under SSP585 (100.38 km2). This study provides a theoretical foundation for the conservation of biodiversity and endangered medicinal plants in the QTP.

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Section: Methodsmentioning

confidence: 99%

Prediction of Historical, Current, and Future Configuration of Tibetan Medicinal Herb Gymnadenia orchidis Based on the Optimized MaxEnt in the Qinghai–Tibet Plateau

Li,

Zhang,

Yang

et al. 2024

Plants

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“…Soil type data were obtained from the Harmonized World Soil Database (HWSD, www.fao.org) and resampled into raster data with a resolution of 2.5 arcminutes (ca. 5 km) to ensure data consistency (He, Ma 2023;Jiao et al 2023). The biological variables obtained as described above were spatially projected using the World Geodetic System (WGS 1984) (Kottarathu et al 2022).…”

Section: Environmental Variablesmentioning

confidence: 99%

“…A total of 240 combinations were adjusted using the ENMeval package. Subsequently, the best parameter combination was selected for modeling based on a delta.AICc= 0 (Jiao and Long 2023). The delta.AICc value was a measure of the difference in AICc (Akaike Information Criterion corrected for small sample sizes) between models, and a value of 0 indicated the best-fitting model in terms of complexity and goodness of fit.…”

Section: Construction Optimization and Evaluation Of Maxentmentioning

confidence: 99%

“…The suitability index values ranged from 0 to 1, with higher values indicating a higher likelihood of the species being present in that region. Based on the prediction of habitat suitability, the suitability areas were classified into four grades: not suitable (value≤ MTSPS), generally suitable (MTSPS< value≤ 0.4), moderately suitable (0.4< value≤ 0.6), and highly suitable (0.6< value) (Jiao and Long 2023).…”

Section: Construction Optimization and Evaluation Of Maxentmentioning

confidence: 99%

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Prediction of historical, current and future configuration of Gymnadenia orchidis 1 based on the optimized MaxEnt in the Qinghai-Tibet Plateau

LI,

Zhang,

Wang

et al. 2024

Preprint

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Gymnosia orchidis (G. orchidis) is a valuable Tibetan medicinal resource with significant medicinal, ecological, and economic value. However, the growth of G. orchidis is severely constrained by stringent natural conditions, leading to a drastic decline in its resources. Therefore, it is crucial to study the suitable habitat areas of G. orchidis to facilitate future artificial cultivation and maintain ecological balance. In this study, we investigated the suitable zones of G. orchidis based on 79 occurrence points in the Qinghai-Tibet Plateau (QTP) and 23 major environmental variables, including climate, topography, and soil type. We employed the Maximum Entropy model (MaxEnt) to simulate and predict the spatial distribution and configuration changes of G. orchidis during different time periods, including the last inter-glacial (LIG), the last glacial Maximum (LGM), the Mid-Holocene (MH), the present, and future scenarios (2041—2060 and 2061—2080) under three different climate scenarios (SSP126, SSP370, and SSP585). Our results indicated that annual precipitation (Bio12, 613—2466 mm) and mean temperature of the coldest quarter (Bio11, -5.8—8.5 °C) were the primary factors influencing the suitable habitat of G. orchidis, with a cumulative contribution of 78.5%. The precipitation and temperature during the driest season had the most significant overall impact. Under current climate conditions, the suitable areas of G. orchidis covered approximately 63.72×104/km², encompassing Yunnan, Gansu, Sichuan, and parts of Xizang provinces, with the highest suitability observed in the Hengduan, Yunlin, and Himalayan mountain regions. In the past, the suitable area of G. orchidis experienced significant changes during the Mid-Holocene, including variations in total area and centroid migration direction. In future scenarios, the suitable habitat of G. orchidis is projected to expand significantly under SSP370 (30.33%—46.19%), followed by SSP585 (1.41%—22.3%), while contraction is expected under SSP126. Moreover, the centroids of suitable areas exhibited multidirectional movement, with the most extensive displacement observed under SSP585 (100.38 km²). This research provides valuable insights for guiding the selection of introduced species, artificial cultivation, and resource conservation in the future, while also offering theoretical support for the protection of endangered species.

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“…Palmer amaranth (Amaranthus palmeri S. Watson) is an invasive agricultural weed widespread across more than 45 countries [25]. It poses a significant threat to agricultural ecosystems due to its capacity for aggressive competition with crop plants for essential resources [26]. To mitigate the deleterious impact of Palmer amaranth on agriculture and explore its potential reuse, we propose its utilization as a novel biochar source for MO adsorption.…”

Section: Introductionmentioning

confidence: 99%

Enhanced Adsorption of Methyl Orange from Aqueous Phase Using Chitosan–Palmer Amaranth Biochar Composite Microspheres

Chen,

Yin,

Zhang

et al. 2024

Molecules

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To develop valuable applications for the invasive weed Palmer amaranth, we utilized it as a novel biochar source and explored its potential for methyl orange adsorption through the synthesis of chitosan-encapsulated Palmer amaranth biochar composite microspheres. Firstly, the prepared microspheres were characterized by scanning electron microscopy and Fourier transform infrared spectroscopy and were demonstrated to have a surface area of 19.6 m2/g, a total pore volume of 0.0664 cm3/g and an average pore diameter of 10.6 nm. Then, the influences of pH, dosage and salt type and concentration on the adsorption efficiency were systematically investigated alongside the adsorption kinetics, isotherms, and thermodynamics. The results reveal that the highest adsorption capacity of methyl orange was obtained at pH 4.0. The adsorption process was well fitted by a pseudo-second-order kinetic model and the Langmuir isotherm model, and was spontaneous and endothermic. Through the Langmuir model, the maximal adsorption capacities of methyl orange were calculated as 495.0, 537.1 and 554.3 mg/g at 25.0, 35.0 and 45.0 °C, respectively. Subsequently, the adsorption mechanisms were elucidated by Fourier transform infrared spectroscopy and X-ray photoelectron spectroscopy investigations. It is indicated that electrostatic interactions, hydrogen bonding, π–π interactions and hydrophobic interactions between methyl orange and the composite microspheres were pivotal for the adsorption process. Finally, the regeneration studies demonstrated that after five adsorption–desorption cycles, the microspheres still maintained 93.6% of their initial adsorption capacity for methyl orange. This work not only presents a promising method for mitigating methyl orange pollution but also offers a sustainable approach to managing Palmer amaranth invasion.

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Reconstructing the Invasive History and Potential Distribution Prediction of Amaranthus palmeri in China

Cited by 6 publications

References 73 publications

Prediction of Historical, Current, and Future Configuration of Tibetan Medicinal Herb Gymnadenia orchidis Based on the Optimized MaxEnt in the Qinghai–Tibet Plateau

Prediction of Historical, Current, and Future Configuration of Tibetan Medicinal Herb Gymnadenia orchidis Based on the Optimized MaxEnt in the Qinghai–Tibet Plateau

Prediction of historical, current and future configuration of Gymnadenia orchidis 1 based on the optimized MaxEnt in the Qinghai-Tibet Plateau

Enhanced Adsorption of Methyl Orange from Aqueous Phase Using Chitosan–Palmer Amaranth Biochar Composite Microspheres

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