MaxEnt brings comparable results when the input data are being completed; Model parameterization of four species distribution models

Ecology and Evolution, Год журнала: 2023, Номер 13(2)

Опубликована: Фев. 1, 2023

Abstract Species distribution models (SDMs) are practical tools to assess the habitat suitability of species with numerous applications in environmental management and conservation planning. The manipulation input data deal their spatial bias is one advantageous methods enhance performance SDMs. However, development a model parameterization approach covering different SDMs achieve well‐performing has rarely been implemented. We integrated tuning for four commonly‐used SDMs: generalized linear (GLM), gradient boosted (GBM), random forest (RF), maximum entropy (MaxEnt), compared predictive geographically imbalanced‐biased rare complex mountain vipers. Models were tuned up based on range model‐specific parameters considering two background selection methods: weighting schemes. fine‐tuned was assessed recently identified localities species. results indicated that although version all shows great predicting training (AUC > 0.9 TSS 0.5), they produce classifying out‐of‐bag data. GBM RF higher sensitivity showed more performances. GLM, despite having high test data, lower specificity. It only MaxEnt comparable identifying both procedures. Our highlight while prone overfitting GLM over‐predict nonsampled areas capable producing predictable (extrapolative) (interpolative). discuss assumptions each conclude could be considered as method cope modeling approaches.

Язык: Английский

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Potential geographical distribution and its multi-factor analysis of Pinus massoniana in China based on the maxent model

Ecological Indicators, Год журнала: 2023, Номер 154, С. 110790 - 110790

Опубликована: Авг. 10, 2023

Pinus massoniana, an important timber, producing, and silvicultural species in southern China, exhibits high adaptability wide distribution. This study utilizes the Maximum Entropy Model (MaxEnt), a distribution model based on theory of maximum entropy, to forecast potential suitable areas P. massoniana China under four climate change scenarios (SSP1-2.6, SSP2-4.5, SSP3-7.0, SSP5-8.5) for both present future (2080) conditions. The research integrates analyzes effects various environmental factors, including topography, soil, population, massoniana. Additionally, geographical detector is employed assess interaction between different factors their contribution variation suitability zones.The findings indicate that MaxEnt accurately predicts with AUC values exceeding 0.94. Precipitation driest month (BIO14), population density (POP), annual precipitation (BIO12) emerge as main influencing current Notably, BIO14 has greatest impact species' (43%), followed by POP (32.7%). Furthermore, lower correspond higher probabilities pine distribution, while correlate increased probabilities. primarily concentrated climatic conditions, encompassing total survival zone 25.24 × 105 km2, accounting 26.29% China's area. Among regions, Guangxi largest area survival, reaching 28.9 104 implying characteristics are conducive massoniana's survival. Under scenarios, overall pattern range remains similar one, increasing trend SSP3-7.0 emissions scenario shows most significant increase area, totaling 4.71 suggesting this particular more favorable provides valuable scientific insights management, conservation, rational site selection

Язык: Английский

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Prediction of the potentially suitable areas of Leonurus japonicus in China based on future climate change using the optimized MaxEnt model

Ecology and Evolution, Год журнала: 2023, Номер 13(10)

Опубликована: Окт. 1, 2023

Houtt. is a traditional Chinese medicinal plant with high and edible value. Wild

Язык: Английский

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Habitat potential modelling and the effect of climate change on the current and future distribution of three Thymus species in Iran using MaxEnt

Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Фев. 13, 2024

Abstract Over the course of a few decades, climate change has caused rapid and alarming reshaping species habitats, resulting in mass extinction, particularly among sensitive species. In order to investigate effects on distribution assess habitat suitability, researchers have developed models (SDMs) that estimate present future distribution. West Asia, thyme such as T. fedtschenkoi , pubescens transcaucasicus are rich thymol carvacrol, commonly used herbal tea, spice, flavoring agents, medicinal plants. This study aims model these Thymus Iran using MaxEnt under two representative concentration pathways (RCP 4.5 RCP 8.5) for years 2050 2070. The objective is identify crucial bioclimatic (n = 5), edaphic 1), topographic 3) variables influence their predict how might various scenarios. findings reveal most significant variable affecting T . altitude, while soil organic carbon content primary factor influencing modeling demonstrates excellent performance, indicated by all area curve (AUC) values exceeding 0.9. Based projections, it expected three will experience negative changes coming years. These results can serve valuable tool developing adaptive management strategies aimed at enhancing protection sustainable utilization context global change. Special attention should be given conserving due loss future.

Язык: Английский

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Protecting alpine biodiversity in the Middle East from climate change: Implications for high‐elevation birds

Diversity and Distributions, Год журнала: 2024, Номер 30(5)

Опубликована: Март 1, 2024

Abstract Aims The Middle East, located in the arid belt of Earth, is home to a diverse range biodiversity, with its mountain ecosystems being most important centres species diversity and endemism. In this study, impact climate change on alpine bird East was assessed across five systems: Alborz–Kopet‐Dagh, Caucasus–Pontic, Levant–Taurus, Sarawat–Hijaz Zagros–Central Iran. Location East. Methods Using distribution models (SDMs), 38 native were analysed under different scenarios. We also identified future multispecies situ ex refugia efficiency current protected areas (PAs) system protecting them. Results results indicated that, average, habitat suitability for these projected decline by 36.83% (2050, SSP2‐4.5) 60.10% (2070, SSP5‐8.5) an upward shift. Based stacking species, Iran Alborz–Kopet–Dagh ranges will experience highest amount loss, respectively, Caucasus–Pontic least affected. gap analysis showed that existing PAs covers only 13% 10% climatic refugia, respectively. Conclusions Our findings underscore significance mountainous regions persistence urgent need prioritize transboundary participatory conservation plans. It crucial prevent degradation alteration resulting from human activities ensure their habitats.

Язык: Английский

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The influence of climate change on the future distribution of two Thymus species in Iran: MaxEnt model-based prediction

BMC Plant Biology, Год журнала: 2024, Номер 24(1)

Опубликована: Апрель 11, 2024

Abstract Within a few decades, the species habitat was reshaped at an alarming rate followed by climate change, leading to mass extinction, especially for sensitive species. Species distribution models (SDMs), which estimate both present and future distribution, have been extensively developed investigate impacts of change on assess suitability. In West Asia essential oils T. daenensis kotschyanus include high amounts thymol carvacrol are commonly used as herbal tea, spice, flavoring agents medicinal plants. Therefore, this study aimed model these Thymus in Iran using MaxEnt under two representative concentration pathways (RCP 4.5 RCP 8.5) years 2050 2070. The findings revealed that mean temperature warmest quarter (bio10) most significant variable affecting . case , slope percentage primary influencing factor. modeling also demonstrated excellent performance, indicated all Area Under Curve (AUC) values exceeding 0.9. Moreover, based projections, mentioned expected undergo negative area changes coming years. These results can serve valuable achievement developing adaptive management strategies enhancing protection sustainable utilization context global change.

Язык: Английский

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Ecological modeling, biogeography, and phenotypic analyses setting the tiger cats’ hyperdimensional niches reveal a new species

Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Янв. 29, 2024

Abstract Recently, the tiger-cat species complex was split into Leopardus tigrinus and guttulus , along with other proposed schemes. We performed a detailed analysis integrating ecological modeling, biogeography, phenotype of four originally recognized subspecies— oncilla pardinoides —and presented new multidimensional niche depiction species. Species distribution models used > 1400 records from museums photographs, all checked for accuracy. Morphological data were obtained institutional/personal archives. Spotting patterns established by museum photographic/camera-trap records. Principal component showed three clearly distinct groups, Central American specimens ( ) clustering entirely within those Andes, namely group cloud forests southern Central-American Andean mountain chains (clouded tiger-cat); savannas Guiana Shield central/northeastern Brazil (savanna in lowland Atlantic Forest domain (Atlantic tiger-cat). This scheme is supported recent genetic analyses. All displayed different spotting patterns, some significant differences body measurements/proportions. The alarming reductions historic range − 50.4% to 68.2%. approach revealed elusive threatened complex.

Язык: Английский

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Reeve’s Muntjac (Muntiacus reevesi) Habitat Suitability Under Climate Change Scenarios in Hupingshan National Nature Reserve, China

Animals, Год журнала: 2025, Номер 15(2), С. 160 - 160

Опубликована: Янв. 9, 2025

Climate change and human disturbance are critical factors affecting the habitat distribution of wild animals, with implications for management strategies such as protecting migration corridors, restoration, species conservation. In Hupingshan National Nature Reserve (NNR), Reeve’s muntjac (Muntiacus reevesi) is a key prey South China tiger (Panthera tigris amoyensis), which extinct in targeted reintroduction by Chinese government. Thus, understanding abundance essential to ensure survival sustainability reintroduced populations. Despite significant conservation efforts, impacts climate on NNR remain unclear, though these could necessitate adaptive due shifts abundance. this study, we employed an optimized MaxEnt model assess current identify environmental variables influencing muntjac. Assuming non-climatic will constant over next century, projected future under two shared socioeconomic pathways (SSP126 SSP585) mid-century (2050s) late-century (2090s). Comparative analyses areas revealed potential species. outputs classified suitability into high, medium, low levels. Results showed that climatic contributed 35.2% 49.4% suitability, respectively. Under SSP126 scenario, habitats decreased covered 0 km2 2050s, expanding slightly 4.2 2090s, while those increased spanned 491.1 463.2 SSP585 10.2 2050s 431.8 2090s. Habitats were comparatively smaller SSP585, covering 162.0 1.1 These findings suggest projections may support muntjac’s survival, loss 2090s (SSP126). lead fragmentation, raising extinction risks Reeves’s Mitigating effects involve establishing minimizing disturbances, potentially supplementing populations captive-bred prey. Such measures plan help availability remains sufficient sustaining

Язык: Английский

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Potential geographical distribution of Cordyceps cicadae and its two hosts in China under climate change

Frontiers in Microbiology, Год журнала: 2025, Номер 15

Опубликована: Янв. 15, 2025

Introduction The fungus Cordyceps cicadae is both edible and medicinal. Methods To acquire a thorough comprehension of its distribution in China, two host insects, Macrosemia pieli Platypleura kaempferi , were selected as biological factors potentially associated with distribution, the ENMTools program was utilized to ascertain principal environmental affecting suitable habitats. possible geographic distributions present well 2030s, 2050s, 2070s then predicted using optimized MaxEnt model. Results primary variables soil pH, mean diurnal range, annual precipitation, precipitation seasonality, temperature driest month. C. thrived on steep slopes. some which also significantly affect hosts. Most habitats M. currently found subtropical monsoon zone. SSP126, SSP370, SSP585 scenarios positive, stable, unfavorable impacts extent for respectively, suitability P. decreased under three different conditions. expansion observed provinces bordering middle lower reaches Yellow River, Zhanjiang, Guangdong Province, northern Yunnan Province. Conversely, habitat contraction mainly western Guangdong, southern Guangxi, Hainan, southwestern Yunnan, areas eastern Sichuan. shared regions hosts primarily located Moreover, future centroids at higher elevations than ones Jiangxi Hunan. Discussion In light climate change, this research held significance conservation sustainable utilization .

Язык: Английский

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Spatial resolution matters: unveiling the role of environmental predictors in English yew (Taxus bacata L.) distribution using MaxEnt modeling

Earth Science Informatics, Год журнала: 2025, Номер 18(2)

Опубликована: Янв. 29, 2025

Язык: Английский

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