Species distribution modelling and predictor variables for species distribution and niche preferences of<i>Pilosocereus leucocephalus</i>group<i>s.s.</i>(Cactaceae)

Franco-Estrada, Daniel; Ortíz, Enrique; Villaseñor, José Luis; Arias, Salvador

doi:10.1080/14772000.2022.2128928

Cited by 8 publications

(7 citation statements)

References 67 publications

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“…This research involved the environmental data: (1) Workflow of the modeling framework used in our study.…”

Section: Environmental Variablesmentioning

confidence: 99%

“…When TSS values are greater than 0.75, the model performs very well (Lu et al, 2022). A value of 0 or less indicates that the prediction performance is no better than random prediction (Franco-Estrada et al, 2022). The combination of AUC value and TSS value can better evaluate the performance of the model (Liu et al, 2013;Wang et al, 2019).…”

Section: Model Simulation Optimization and Evaluationmentioning

confidence: 99%

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Potentially differential impacts on niche overlap between Chinese endangered Zelkova schneideriana and its associated tree species under climate change

Yan-rong

Zhang

2023

Front. Ecol. Evol.

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Climate change has a significant impact on the potential distribution for endangered trees. However, to date, little is known about how the endangered trees and main associated ones in different types of subtropical forests respond to climate change. Here, we first selected the endangered Zelkova schneideriana endemic to China and its associated trees as focus species from two subtropical forest communities (i.e. deciduous broad-leaf forest, bamboo and broad-leaf mixed forest) in China, and divided them into two species pairs: Z. schneideriana vs. Celtis sinensis, and Z. schneideriana vs. Phyllostachys edulis. Then, we simulated the three species’ suitable areas under current and future climate scenarios using Maxent based on the occurrence records and environmental variables, and further measured niche overlap between each species pair over time. Our Maxent showed: (1) Temperature-related factors have greater influence on Z. schneideriana than the other factors. The most important factor influencing its population distribution was Min temperature of coldest month (Bio6), followed by Mean diurnal range (Bio2), with the total contribution of 78.9%. (2) Currently, the suitable area of Z. schneideriana was predicted to be 106.50 × 104 km2, mostly located in the subtropical region of China, especially in Anhui, Hubei, Hunan, Jiangsu, and Zhejiang provinces. (3) Its suitable area would decrease and its average migration distance was 19.72 km under 16 future climate scenarios, with the core distribution migrating northeast. (4) There is an asynchrony of potential niche overlap between species pairs. One species pair with C. sinensis will rise in terms of Schoener’s D and I values whereas the other one with P. edulis will decline in the future. This asynchrony can be ascribed to the different future suitable ranges of these focus species as well as their ecological characteristics. Our study provides a new perspective on the conservation for endangered trees and surrounding neighbors in Chinese subtropical forests.

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“…This research involved the environmental data: (1) Workflow of the modeling framework used in our study.…”

Section: Environmental Variablesmentioning

confidence: 99%

Section: Model Simulation Optimization and Evaluationmentioning

confidence: 99%

Potentially differential impacts on niche overlap between Chinese endangered Zelkova schneideriana and its associated tree species under climate change

Yan-rong

Zhang

2023

Front. Ecol. Evol.

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“…Una variable está relacionada con el suelo y dos con la temperatura. La mayoría de los modelos de nicho ecológico inclu yen variables de temperatura y humedad, son pocos los que consideran variables edáficas (por ejemplo, López-Mata et al 2012, Munguía-Lino et al 2017, Franco-Estrada et al 2022. El suelo es un factor importante en la distribución de las especies vegetales, sus propiedades físicas y químicas como textura, humedad, cantidad de materia orgánica, pH, contenido de nitrógeno, carbono, fósforo y potasio determinan el microhábitat de dichas especies.…”

Section: Discussionunclassified

Distribución, estado de conservación y amenazas de Lobelia villaregalis (Campanulaceae) en el Bosque La Primavera, Jalisco

Hernández-López

Munguía‐Lino

2023

Bot. Sci.

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Antecedentes: Lobelia villaregalis fue descrita en 1987 a partir de una sola localidad en el Bosque La Primavera, Zapopan, Jalisco. En el año 2008 se registró otra localidad, lo que sugiere que el conocimiento sobre la distribución de la especie es incompleto. Preguntas: ¿Cuál es la distribución conocida y potencial de L. villaregalis en el Bosque La Primavera? ¿Cuál es su estado de conservación y cuáles las principales amenazas? Especies de estudio: Lobelia villaregalis T.J. Ayers. Sitio de estudio y fechas: Zapopan, Jalisco, 2018-2020. Métodos: Se realizaron exploraciones en el área natural protegida Bosque La Primavera para localizar poblaciones nuevas de la especie. Para caracterizar el hábitat y las amenazas que enfrenta la especie se registraron datos en campo y se complementaron utilizando sistemas de información geográfica. También se determinó su estado de conservación. La distribución potencial se obtuvo con Maxent. Resultados: Se registran en total seis sitios con presencia de L. villaregalis, los cuales se ubican en las zonas de manejo de mayor protección; Uso restringido y Recuperación. Sin embargo, la especie se encuentra En Peligro con un área de ocupación de 28 km². Los sitios están contiguos a campos de cultivo, asentamientos humanos, incendios forestales, entre otros. El área de distribución potencial estimada con variables climáticas fue de 160.051 km2, los sitios con probabilidades de uno fueron validados en campo, pero no se encontró la especie. Conclusiones: Lobelia villaregalis se encuentra en alto riesgo, se requieren acciones urgentes in situ y ex situ para su conservación.

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“…To obtain more ecologically meaningful environmental factors to characterize the geographic distributions of RWR more accurately, we calculated the Environmental Rasters for Ecological Modeling (ENVIREM) dataset from the 19 bioclimatic variables using the ‘envirem’ R package, including 18 biologically relevant climatic variables (Title & Bemmels, 2018). Compared to using only WorldClim variables, previous studies have demonstrated that the inclusion of ENVIREM variables significantly improves the model performance of SDMs (Franco‐Estrada et al, 2022; Liu & Yang, 2022; Petrosyan et al, 2023). All spatial variables had a resolution of 2.5 arcmin (~5 km 2 ).…”

Section: Methodsmentioning

confidence: 99%

Global potential distributions and conservation status of rice wild relatives

Lin,

Chen,

Wang

et al. 2024

Plants People Planet

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Societal Impact StatementRice wild relatives (RWR) provide valuable genetic resources for modern rice breeding, yet knowledge gaps constrain their conservation and further utilization. To address these gaps, the potential distributions of 22 RWR taxa were modeled, and their conservation statuses were assessed. Most taxa were identified as medium priority for further conservation. Further ex‐situ collecting hotspots are in Southeast and South Asia, Northern Australia, West Africa, and tropical Americas, while habitat protection lies in Southeast and South Asia, Northern Australia, and West Africa. Climate change may shift equatorial habitats to higher latitudes and mountain habitats to higher altitudes.Summary Rice wild relatives (RWR) provide valuable genetic resources for modern rice breeding. However, knowledge gaps on their geographic distributions and conservation status constrain their conservation and further utilization. To fill these critical gaps, we modeled the potential distributions of 22 RWR taxa under current climate scenarios, assessed their conservation status, both ex situ (in genebanks or botanical gardens) and in situ (in protected areas), and examined changes in taxa richness of RWR in predicted areas under future climate scenarios. The RWR were primarily distributed in tropical Asia to tropical Australia, tropical Africa, and South and Central America. We identified 4 out of 22 taxa as high priority (HP) for further conservation action and 18 taxa as medium priority (MP). Hotspots requiring further collecting for ex situ conservation are concentrated in Southeast and South Asia, Northern Australia, West Africa, and tropical Americas. Meanwhile, habitat protection should be enhanced in Southeast and South Asia, Northern Australia, and West Africa. Under future climate change, suitable habitats near the equator are expected to shift toward higher latitudes and some in lower‐latitude basins may become unsuitable due to excessive heat, resulting in decreased taxa richness in these areas. Additionally, suitable habitats in high mountain areas may shift to higher altitudes, potentially augmenting taxa richness in the highlands. Our findings provide vital insights to guide future rescue conservation efforts for RWR.

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Species distribution modelling and predictor variables for species distribution and niche preferences ofPilosocereus leucocephalusgroups.s.(Cactaceae)

Cited by 8 publications

References 67 publications

Potentially differential impacts on niche overlap between Chinese endangered Zelkova schneideriana and its associated tree species under climate change

Potentially differential impacts on niche overlap between Chinese endangered Zelkova schneideriana and its associated tree species under climate change

Distribución, estado de conservación y amenazas de Lobelia villaregalis (Campanulaceae) en el Bosque La Primavera, Jalisco

Global potential distributions and conservation status of rice wild relatives

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