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Analysis of the distribution pattern of Chinese Ziziphus jujuba under climate change based on optimized biomod2 and MaxEnt models

Ecological indicators, 2021-12, Vol.132, p.108256, Article 108256

2021

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Artificial illumination influences niche segregation in bats

Environmental pollution (1987), 2021-09, Vol.284, p.117187, Article 117187

2021

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Forecasting oak decline caused by Phytophthora cinnamomi in Andalusia: Identification of priority areas for intervention

Forest ecology and management, 2018-05, Vol.417, p.122-136

2018

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Environmental drivers and spatial prediction of forest fires in the Western Ghats biodiversity hotspot, India: An ensemble machine learning approach

Forest ecology and management, 2023-07, Vol.540, p.121057, Article 121057

2023

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Climate-change threats to distribution, habitats, sustainability and conservation of highly traded medicinal and aromatic plants in Nepal

Ecological indicators, 2020-08, Vol.115, p.106435, Article 106435

2020

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Ensemble model-based analysis of the effects of environmental factors on the distribution and chemical composition of Asparagus cochinchinensis (Lour.) Merr

Industrial crops and products, 2024-08, Vol.214, p.118584, Article 118584

2024

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Mapping regional risks from climate change for rainfed rice cultivation in India

Agricultural systems, 2017-09, Vol.156, p.76-84

2017

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Potential distribution of Panax ginseng and its predicted responses to climate change.

Ying yong sheng tai xue bao, 2016-11, Vol.27 (11), p.3607-3615

2016

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Estimating climate-induced ‘Nowhere to go’ range shifts of the Himalayan Incarvillea Juss. using multi-model median ensemble species distribution models

Ecological indicators, 2021-02, Vol.121, p.107127, Article 107127

2021

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Muscling mussels: Understanding the invasive potential of the South American bivalve Mytella strigata (Hanley, 1843) in the Northern Indian Ocean

The Science of the total environment, 2024-03, Vol.916, p.170243-170243, Article 170243

2024

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Gap analysis of Firmiana danxiaensis, a rare tree species endemic to southern China

Ecological indicators, 2024-01, Vol.158, p.111606, Article 111606

2024

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Prediction of the potential distribution pattern of the great gerbil (Rhombomys opimus) under climate change based on ensemble modelling

Pest management science, 2022-07, Vol.78 (7), p.3128-3134

2022

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Mountain farmland protection and fire-smart management jointly reduce fire hazard and enhance biodiversity and carbon sequestration

Ecosystem services, 2020-08, Vol.44, p.101143, Article 101143

2020

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Evaluating the performance of species distribution models Biomod2 and MaxEnt using the giant panda distribution data

Ying yong sheng tai xue bao, 2017-12, Vol.28 (12), p.4001-4006

2017

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Priority conservation area of Larix gmelinii under climate change: application of an ensemble modeling

Frontiers in plant science, 2023-05, Vol.14, p.1177307-1177307

2023

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Modelling habitat suitability for occurrence of human tick-borne encephalitis (TBE) cases in Finland

Ticks and tick-borne diseases, 2020-09, Vol.11 (5), p.101457, Article 101457

2020

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Global warming pushes the distribution range of the two alpine ‘glasshouse’ Rheum species north- and upwards in the Eastern Himalayas and the Hengduan Mountains

Frontiers in plant science, 2022-10, Vol.13, p.925296-925296

2022

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Ensemble modelling of southern Australian bottlenose dolphin Tursiops sp. distribution reveals important habitats and their potential ecological function

Marine ecology. Progress series (Halstenbek), 2017-04, Vol.569, p.253-266

2017

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Predicting global habitat suitability for Corbicula fluminea using species distribution models: The importance of different environmental datasets

Ecological modelling, 2016, Vol.319 (10), p.163-169

2016

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Prediction of habitat suitability for the desert monitor (Varanus griseus caspius) under the influence of future climate change

Journal of arid environments, 2021-03, Vol.186, p.104416, Article 104416

2021

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Potential Elevation Shift of the European Beech Stands ( Fagus sylvatica L.) in Serbia

Frontiers in plant science, 2019-07, Vol.10, p.849-849

2019

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Ignoring seasonal changes in the ecological niche of non-migratory species may lead to biases in potential distribution models: lessons from bats

Biodiversity and conservation, 2018-07, Vol.27 (9), p.2425-2441

2018

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Nature protection areas of Europe are insufficient to preserve the threatened beetle Rosalia alpina (Coleoptera: Cerambycidae): evidence from species distribution models and conservation gap analysis

Ecological entomology, 2018-04, Vol.43 (2), p.192-203

2018

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Segment-level modeling of wildfire susceptibility in Iranian semi-arid oak forests: Unveiling the pivotal impact of human activities

Trees, Forests and People (Online), 2024-03, Vol.15, p.100496, Article 100496

2024

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Predictive mapping of mosquito distribution based on environmental and anthropogenic factors in Taita Hills, Kenya

International journal of applied earth observation and geoinformation, 2019-04, Vol.76, p.84-92

2019

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Analysis of the distribution pattern of Chinese Ziziphus jujuba under climate change based on optimized biomod2 and MaxEnt models

Artificial illumination influences niche segregation in bats

Forecasting oak decline caused by Phytophthora cinnamomi in Andalusia: Identification of priority areas for intervention

Environmental drivers and spatial prediction of forest fires in the Western Ghats biodiversity hotspot, India: An ensemble machine learning approach

Climate-change threats to distribution, habitats, sustainability and conservation of highly traded medicinal and aromatic plants in Nepal

Ensemble model-based analysis of the effects of environmental factors on the distribution and chemical composition of Asparagus cochinchinensis (Lour.) Merr

Mapping regional risks from climate change for rainfed rice cultivation in India

Potential distribution of Panax ginseng and its predicted responses to climate change.

Estimating climate-induced ‘Nowhere to go’ range shifts of the Himalayan Incarvillea Juss. using multi-model median ensemble species distribution models

Muscling mussels: Understanding the invasive potential of the South American bivalve Mytella strigata (Hanley, 1843) in the Northern Indian Ocean

Gap analysis of Firmiana danxiaensis, a rare tree species endemic to southern China

Prediction of the potential distribution pattern of the great gerbil (Rhombomys opimus) under climate change based on ensemble modelling

Mountain farmland protection and fire-smart management jointly reduce fire hazard and enhance biodiversity and carbon sequestration

Evaluating the performance of species distribution models Biomod2 and MaxEnt using the giant panda distribution data

Priority conservation area of Larix gmelinii under climate change: application of an ensemble modeling

Modelling habitat suitability for occurrence of human tick-borne encephalitis (TBE) cases in Finland

Global warming pushes the distribution range of the two alpine ‘glasshouse’ Rheum species north- and upwards in the Eastern Himalayas and the Hengduan Mountains

Ensemble modelling of southern Australian bottlenose dolphin Tursiops sp. distribution reveals important habitats and their potential ecological function

Predicting global habitat suitability for Corbicula fluminea using species distribution models: The importance of different environmental datasets

Prediction of habitat suitability for the desert monitor (Varanus griseus caspius) under the influence of future climate change

Potential Elevation Shift of the European Beech Stands ( Fagus sylvatica L.) in Serbia

Ignoring seasonal changes in the ecological niche of non-migratory species may lead to biases in potential distribution models: lessons from bats

Nature protection areas of Europe are insufficient to preserve the threatened beetle Rosalia alpina (Coleoptera: Cerambycidae): evidence from species distribution models and conservation gap analysis

Segment-level modeling of wildfire susceptibility in Iranian semi-arid oak forests: Unveiling the pivotal impact of human activities

Predictive mapping of mosquito distribution based on environmental and anthropogenic factors in Taita Hills, Kenya

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