Study on suitability assessment of waterbird habitats along the Bohai Rim

Huang, Zhimei; Lu, Yalan; Meng, Weiqing; Mo, Xingguo; Xu, Wenbin; Yun, Haofan; He, Ming; Wang, Yidong

doi:10.1016/j.ecolind.2023.110229

Cited by 10 publications

(2 citation statements)

References 73 publications

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“…Commonly used SDMs are the Genetic Algorithm for Rule-set Production (GARP), Climate and Expertise (Climex), and Maximum Entropy model (MaxEnt) [ 23 , 24 ]. Among the SDM approaches, the MaxEnt is widely used due to its simplicity, rapid processing, and high prediction accuracy, even with limited distribution points [ 25 , 26 , 27 ]. The MaxEnt has good applications in predicting prehistoric geology and future climate scenarios and is particularly suitable for predicting suitable areas for endangered species, medicinal plants, and alpine plants, as well as assessing their response to future climate changes [ 4 , 28 , 29 , 30 ].…”

Section: Introductionmentioning

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: Introductionmentioning

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

View full text Add to dashboard Cite

show abstract

“…To address this need, species distribution modeling (SDM) is employed as the primary method to simulate suitable habitat areas and predict distribution changes based on environmental variables (Huang et al 2020)., commonly used SDMs such as Genetic Algorithm for Rule-set Production (GARP), Climate and Expertise (Climex), Maximum Entropy model (MaxEnt) (Regan et al 2021;Su et al 2021). Among the SDM approaches, MaxEnt is widely used due to its simplicity, rapid processing, and high prediction accuracy, even with limited distribution points (Huang et al 2023b;Kang et al 2023;Xu et al 2019). MaxEnt has good applications in predicting prehistoric geology and future climate scenarios and particularly suitable for predicting suitable areas for endangered species, afforestation tree species, and exotic tree species, as well as assessing their response to future climate change (He et al 2023;Radosław et al 2023;Wang et al 2023b;Zhao et al 2021).…”

Section: Introductionmentioning

confidence: 99%

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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How does phosphorus fertilizer improve the stability of soil aggregates? Evidence from a decade fertilization experiment

Chen,

Liu,

Song

et al. 2024

Plant Soil

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Study on suitability assessment of waterbird habitats along the Bohai Rim

Cited by 10 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

How does phosphorus fertilizer improve the stability of soil aggregates? Evidence from a decade fertilization experiment

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