Ecological assessment of current and future Pogostemon cablin Benth. potential planting regions in China based on MaxEnt and ArcGIS models

Zeng, Jianrong; Li, Chengmei; Liu, Jianzhong; Li, Yingying; Hu, Zhenzhen; He, Mengling; Zhang, Hongyi; Yan, Haoran

doi:10.1016/j.jarmap.2021.100308

Cited by 12 publications

(13 citation statements)

References 31 publications

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“…Para eliminar la influencia de la multicolinealidad en el proceso de modelado y seleccionar las variables más ajustadas que muestren altos grados de contribución al modelo, para Lycalopex culpaeus (Molina, 1782) se consideraron seis variables que posteriormente a través de la prueba de Jackknife se filtraron y se trabajó con cuatro variables (temperatura, precipitación, uso de suelo y ecosistemas) las cuales explican el 0,982 de variabilidad, lo que resulta similar a otro estudio [104], donde se consideró dos variables ambientales (temperatura y precipitación con sus valores mínimos, máximos y medios). Sin embargo los resultados de este estudio difieren de otros; donde se utilizó un mayor número de variables ambientales, con un total de 19 [105], así como otro estudio donde se seleccionó 22 variables pero solo mantuvo diez variables para establecer el modelo de distribución potencial de la especie A. philoxeroides [106].…”

Section: Rango De Distribución Potencial De La Especieunclassified

Potential Distribution Range of Lycalopex culpaeus Species (Molina, 1782) in the Province of Chimborazo

Asqui

Rodríguez

Arma

et al. 2022

espoch

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Species distribution models are very useful for understanding and conserving the patterns and processes that explain biodiversity. The present study determined the potential distribution range of Lycalopex culpaeus (Molina, 1782) species in Chimborazo, Ecuador. A documentary research was conducted that included geographic and bibliographic information and the application of the MaxEnt software for data collection, estimation, and validation of the model. The results showed that the potential distribution range of the L. culpaeus species (Molina, 1782) modeled in the MaxEnt and filtered through the Jackknife test has a high predictive capacity, as indicated by the area under the curve (AUC) that reflects a value of 0.985 for which 28 occurrence sites and four environmental variables were used. The key environmental variables that shape the potential distribution of L. culpaeus (Molina, 1782) are temperature, precipitation, land use, and ecosystems. Therefore, in the province of Chimborazo, the habitat suitability for the L. culpaeus (Molina, 1782) species with a probability of >50% (0.49–0.99 points) corresponds to 34,255 hectares of its territory and is mainly found in the “paramo” grassland ecosystem in altitudes ranging from 2781 to 3345 masl. Keywords: Biodiversity, Fauna, Habitat, MaxEnt. Resumen Los modelos de distribución de especies son de gran utilidad para entender y conservar los patrones y los procesos que explican la biodiversidad. En tal sentido el presente estudio determinó el rango de distribución potencial de la especie Lycalopex culpaeus (Molina, 1782) en la provincia de Chimborazo. Este proceso se llevó a cabo a través de métodos de investigación documental que incluye información geográfica y bibliográfica y la aplicación del software MaxEnt a través del cual se desarrolló la obtención de datos, la estimación y validación del modelo. Los resultados reflejan que el rango de distribución potencial de la especie Lycalopex culpaeus (Molina, 1782) modelado en MaxEnt y filtrado a través de la prueba de Jackknife posee una alta capacidad predictiva, tal como lo indica el área bajo la curva (AUC) que refleja un valor de 0,985, para el cual se utilizó 28 sitios de ocurrencia y cuatro variables ambientales. Las variables ambientales clave que dan forma a la distribución potencial de Lycalopex culpaeus (Molina, 1782) son temperatura, precipitación, uso de suelo y ecosistemas, por tanto en la provincia de Chimborazo la idoneidad de hábitat para la especie Lycalopex culpaeus (Molina, 1782) con probabilidad mayor al 50 % (0,49-0,99 puntos) corresponde a 34.255 hectáreas de territorio para su distribución, y se encuentra principalmente en el ecosistema herbazal de páramo, en rangos altitudinales que varían de los 2781 a los 3345 msnm. Palabras Clave: Biodiversidad, Fauna, Hábitat, MaxEnt.

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Section: Rango De Distribución Potencial De La Especieunclassified

Potential Distribution Range of Lycalopex culpaeus Species (Molina, 1782) in the Province of Chimborazo

Asqui

Rodríguez

Arma

et al. 2022

espoch

View full text Add to dashboard Cite

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“…Global climate change is one of the main threats to ecosystem health and biodiversity. It affects the spatiotemporal distribution, abundance, activity, and micro‐environmental utilization of species (Brunsdon et al, 2007; Gavin et al, 2014; Luo et al, 2015; Pecl et al, 2017; Stewart et al, 2020; Zeng et al, 2021; J. Zhang, Jiang et al, 2021; S. Zhang, Liu, et al, 2021). A species geographical distribution depends on its environmental tolerance, dispersal limitation, and biological interaction with other species (Pecl et al, 2017; L. P. Sales et al, 2019; K. Zhang et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

“…Global climate change is one of the main threats to ecosystem health and biodiversity. It affects the spatiotemporal distribution, abundance, activity, and micro-environmental utilization of species (Brunsdon et al, 2007;Gavin et al, 2014;Luo et al, 2015;Pecl et al, 2017;Stewart et al, 2020;Zeng et al, 2021;J. Zhang, Jiang et al, 2021;S.…”

mentioning

confidence: 99%

Current distribution of two species of Chinese macaques (Macaca arctoides and Macaca thibetana) and the possible influence of climate change on future distribution

Yang

Xia

et al. 2023

American J Primatol

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Predicting the spatial distribution of species and suitable areas under global climate change could provide a reference for species conservation and long‐term management strategies. Macaca thibetana and Macaca arctoides are two endangered species of Chinese macaques. However, limited information is available on their distribution, and their habitat needs lack proper assessment due to complicated taxonomy and less research attention. In recent years, scholars widely used the maximum entropy (MaxEnt) model to predict the impact of global climate and certain environmental factors on species distribution. Therefore, we used the MaxEnt model to predict the spatiotemporal distribution of both macaque species under six climate change scenarios using occurrence and high‐resolution ecological data. We identified climatic factors, elevation, and land cover that shape their distribution range and determined shifts in their habitat range. The results demonstrated that temperature range, annual precipitation, forest land cover, and temperature seasonality, including the precipitation of the driest month are the main factors affecting their distribution. Currently, M. thibetana is mainly concentrated in central, eastern, southern, and southwestern China, and M. arctoides is mainly concentrated in three provinces (Yunnan, Guangxi, and Guangdong) in southern China. The MaxEnt model predicted that the suitable habitat for both species will increase with increased greenhouse emission scenarios. We also found that with the further increase in greenhouse emissions M. thibetana is expected to migrate to western China, and M. arctoides is expected to migrate to western or eastern China. This reinterpretation of the distribution of M. thibetana and M. arctoides in China, and predicted potential suitable habitat and possible migration direction, may provide new insights into the future conservation and management of these two species.

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“…This model can not only integrate multiple environmental variables when predicting potential distributions but also obtain the main influencing factors and adaptation range that affect the growth of the species. It has been widely used to predict the possible distribution of species and to study ecological characteristics (Zeng et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

“…At present, the research on Leonurus japonicus primarily focuses on its pharmacological aspects and chemical composition, while the prediction of potential distribution areas under future climate change scenarios has not been considered. Maxent has been used to predict suitable areas of endangered species, biological invasive species, crops, and medicinal plants (Zeng et al, 2021;. To clarify the distribution of the suitable area of the medicinal plantLeonurus japonicus and its response to future climate change, this study employed the ENMeval package to optimize the parameter settings in the Maxent model (Muscarella et al, 2015), and the optimized model was used to predict and analyze the suitable distribution of L. japonicus .…”

Section: Introductionmentioning

confidence: 99%

Habitat protection and planning for Leonurus japonicus using the Maxent and Marxan models

Wang

Xie

Zhou

et al. 2023

Preprint

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To predict suitable growing regions for Leonurus japonicus and to provide scientific sopport for the habitat conservation and the exploitation and utilization of germplasm resources under climate change conditions, this study combined niche and priority conservation models to assess the future potential distribution of L. japonicus in China. To this end, distribution points and samples of L. japonicus were gathered through online and field surveys. The Maxent model with optimized parameters was used for predicting the suitable habitats of L. japonicus at different stages, and the Marxan model was used to determine the priority of protected areas. The results showed that the highest temperature in the hottest month, the lowest temperature in the coldest month, the precipitation in the wettest month, the precipitation in the driest month, and altitude were the main environmental factors influencing the distribution of L. japonicus. Under the three climate change scenarios, the centroid of the suitable area of L. japonicus migrated northward, and the migration position tended to expand further northwest. In the future, there would be no significant niche differentiation of L. japonicus; the Marxan results showed that priority protected areas for L. japonicus were in southwestern central China, Lingnan, southern east China, and Guizhou. Overall, the results of this research can provide a strategy for the determination of priority protection areas for Leonurus japonicus in China.

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Ecological assessment of current and future Pogostemon cablin Benth. potential planting regions in China based on MaxEnt and ArcGIS models

Cited by 12 publications

References 31 publications

Potential Distribution Range of Lycalopex culpaeus Species (Molina, 1782) in the Province of Chimborazo

Potential Distribution Range of Lycalopex culpaeus Species (Molina, 1782) in the Province of Chimborazo

Current distribution of two species of Chinese macaques (Macaca arctoides and Macaca thibetana) and the possible influence of climate change on future distribution

Habitat protection and planning for Leonurus japonicus using the Maxent and Marxan models

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