Far beyond the Amazon: global distribution, environmental suitability, and invasive potential of the two most introduced peacock bass

Franco, Ana Clara Sampaio; Lorini, Maria Lúcia; Minsky, Eduardo Motta Carelli; Figueiredo, Marcos de Souza Lima; Santos, Luciano Neves dos

doi:10.1007/s10530-022-02814-6

Cited by 7 publications

(5 citation statements)

References 91 publications

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“…The closer the AUC and TSS values were close to 1, indicating a high prediction accuracy ( Hou et al., 2023 ). The model prediction performance was deemed when the AUC and TSS values were greater than 0.9, and 0.75, respectively ( Allouche et al., 2006 ; Franco et al., 2022 ).…”

Section: Methodsmentioning

confidence: 99%

Potentially suitable habitats of Daodi goji berry in China under climate change

Li,

Deng,

Duan

et al. 2024

Front. Plant Sci.

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IntroductionGoji berry (Lycium barbarum L.) is a famous edible and medicinal herb worldwide with considerable consumption. The recent cultivation of goji berries in the Daodi region was seriously reduced due to increased production costs and the influence of policy on preventing nongrain use of arable land in China. Consequently, production of Daodi goji berry was insufficient to meet market demands for high-quality medicinal materials. Searching for regions similar to the Daodi region was necessary.MethodsThe MaxEnt model was used to predicted the current and future potential regions suitable for goji berry in China based on the environmental characteristics of the Daodi region (including Zhongning County of Zhongwei prefecture-level city, and its surroundings), and the ArcGIS software was used to analyze the changes in its suitable region.ResultsThe results showed that when the parameters were FC = LQHP and RM = 2.1, the MaxEnt model was optimal, and the AUC and TSS values were greater than 0.90. The mean temperature and precipitation of the coldest quarter were the most critical variables shaping the distribution of Daodi goji berries. Under current climate conditions, the suitable habitats of the Daodi goji berry were 45,973.88 km2, accounting for 0.48% of China’s land area, which were concentrated in the central and western Ningxia Province (22,589.42 km2), and the central region of Gansu Province (18,787.07 km2) bordering western Ningxia. Under future climate scenarios, the suitable area was higher than that under current climate conditions and reached the maximum under RCP 6.0 (91,256.42 km2) in the 2050s and RCP 8.5 (82,459.17 km2) in the 2070s. The expansion regions were mainly distributed in the northeast of the current suitable ranges, and the distributional centroids were mainly shifted to the northeast. The moderately and highly suitable overlapping habitats were mainly distributed in Baiyin (7,241.75 km2), Zhongwei (6,757.81 km2), and Wuzhong (5, 236.87 km2) prefecture-level cities.DiscussionIn this stduy, MaxEnt and ArcGIS were applied to predict and analyze the suitable habitats of Daodi goji berry in China under climate change. Our results indicate that climate warming is conducive to cultivating Daodi goji berry and will not cause a shift in the Daodi region. The goji berry produced in Baiyin could be used to satisfy the demand for high-quality medicinal materials. This study addresses the insufficient supply and guides the cultivation of Daodi goji berry.

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Section: Methodsmentioning

confidence: 99%

Potentially suitable habitats of Daodi goji berry in China under climate change

Li,

Deng,

Duan

et al. 2024

Front. Plant Sci.

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“…TSS ranges from –1 to 1, and TSS values closer to 1 indicate higher prediction accuracy of the model ( Allouche et al, 2006 ). When TSS is greater than 0.75, model performance is very good ( Landis and Koch, 1977 ; Franco et al, 2022 ).…”

Section: Methodsmentioning

confidence: 99%

Predicting the distribution of suitable habitat of the poisonous weed Astragalus variabilis in China under current and future climate conditions

Huang

Du²,

Wen³

et al. 2022

Front. Plant Sci.

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Astragalus variabilis is a locoweed of northwest China that can seriously impede livestock development. However, it also plays various ecological roles, such as wind protection and sand fixation. Here, we used an optimized MaxEnt model to predict the distribution of suitable habitat of A. variabilis under current (1970–2000) conditions and future (2021–2080) climate change scenarios based on recent occurrence records. The most important environmental variables (suitability ranges in parentheses) affecting the distribution of A. variabilis were average maximum temperature of February (–2.12–5.34°C), followed by total precipitation of June (2.06–37.33 mm), and topsoil organic carbon (0.36–0.69%). The habitat suitability of A. variabilis was significantly correlated with the frequency of livestock poisoning (p < 0.05). Under current climate conditions, the suitable environment of A. variabilis was distributed in central and western Inner Mongolia, Ningxia, central and northwestern Gansu, central and northwestern Qinghai, and the four basins around the Tianshan Mountains in Xinjiang. Under future climate conditions, the suitable habitat of A. variabilis shifted to higher latitudes and altitudes. No previous studies have used niche models to predict the suitable environment of this species nor analyzed the relationship between the habitat suitability of poisonous plants and the frequency of animal poisoning. Our findings provide new insights that will aid the prevention of livestock animal poisoning and the control of poisonous plants, promote the development of the livestock husbandry industry, and provide basic information that will facilitate the maintenance of the ecological balance of grassland ecosystems.

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“…Tradicionalmente, os modelos de distribuição potencial de espécies invasoras se baseiam apenas em variáveis climáticas para prever a distribuição de espécies invasoras, minimizando a influência humana na distribuição atual e futura dessas espécies. Entretanto, modelos integrados, que incorporam variáveis climáticas e variáveis humanas relacionadas à dispersão de propágulos (como fluxo de transporte em rodovias ou a quantidade de represamentos, por exemplo), aumentarão a previsibilidade dos modelos de distribuição potencial de EEI (Gallardo & Víla 2019, Franco et al 2022a.…”

Section: Mudanças No Uso Da Terra Navegação E Comércio Internacional ...unclassified

Vetores de mudança diretos e indiretos que afetam a introdução, o estabelecimento e a disseminação de espécies exóticas invasoras

Bergallo,

Santos,

Barros

et al. 2024

Relatório Temático Sobre Espécies Exóticas Invasoras, Biodiversidade E Serviços Ecossistêmicos

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Far beyond the Amazon: global distribution, environmental suitability, and invasive potential of the two most introduced peacock bass

Cited by 7 publications

References 91 publications

Potentially suitable habitats of Daodi goji berry in China under climate change

Potentially suitable habitats of Daodi goji berry in China under climate change

Predicting the distribution of suitable habitat of the poisonous weed Astragalus variabilis in China under current and future climate conditions

Vetores de mudança diretos e indiretos que afetam a introdução, o estabelecimento e a disseminação de espécies exóticas invasoras

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