Species distribution models (SDM): applications, benefits and challenges in invasive species management.

V Srivastava, V Lafond, VC Griess - CABI Reviews, 2019 - cabidigitallibrary.org
The use of species distribution models (SDM) is of increasing popularity when studying
biological invasions, eg to assess the impact of climate change on invasive species, to …

[HTML][HTML] Maxent modeling for predicting impacts of climate change on the potential distribution of Thuja sutchuenensis Franch., an extremely endangered conifer from …

A Qin, B Liu, Q Guo, RW Bussmann, F Ma, Z Jian… - Global Ecology and …, 2017 - Elsevier
Objectives Detailed and reliable information about the spatial distribution of species
provides important information for species conservation management, especially in the case …

Maximum entropy modeling to predict the impact of climate change on pine wilt disease in China

X Tang, Y Yuan, X Li, J Zhang - Frontiers in plant science, 2021 - frontiersin.org
Pine wilt disease is a devastating forest disease caused by the pinewood nematode
Bursaphelenchus xylophilus, which has been listed as the object of quarantine in China …

Hazard and vulnerability in urban flood risk mapping: Machine learning techniques and considering the role of urban districts

M Eini, HS Kaboli, M Rashidian, H Hedayat - International Journal of …, 2020 - Elsevier
Urban flood risk mapping plays a decisive role in urban management and planning,
especially in reducing flood damages. In this study, a flood risk map was produced for …

Maxent modeling for predicting the potential distribution of medicinal plant, Justicia adhatoda L. in Lesser Himalayan foothills

XQ Yang, SPS Kushwaha, S Saran, J Xu, PS Roy - Ecological engineering, 2013 - Elsevier
The population of the medicinal plant, Malabar nut (Justicia adhatoda L.) is shrinking in Dun
valley due to habitat fragmentation, invasion by Lantana camara, over-exploitation, and an …

[HTML][HTML] Predicting the current and future cultivation regions of Carthamus tinctorius L. using MaxEnt model under climate change in China

BO Wei, R Wang, K Hou, X Wang, W Wu - Global Ecology and …, 2018 - Elsevier
Change in future climate will either expand, contract or shift the climatic niche of many
species and this could lead to shifting of their geographical ranges. Prediction of suitable …

Landslide susceptibility assessment using maximum entropy model with two different data sampling methods

A Kornejady, M Ownegh, A Bahremand - Catena, 2017 - Elsevier
The aim of the current study is to map landslide susceptibility over the Ziarat watershed in
the Golestan Province, Iran, using Maximum Entropy (ME), as a machine learning model …

[HTML][HTML] Upward shift and elevational range contractions of subtropical mountain plants in response to climate change

K Zu, Z Wang, X Zhu, J Lenoir, N Shrestha, T Lyu… - Science of the Total …, 2021 - Elsevier
Elevational range shifts of mountain species in response to climate change have profound
impact on mountain biodiversity. However, current evidence indicates great controversies in …

Predicting the current and future suitable habitat distribution of Myristica dactyloides Gaertn. using MaxEnt model in the Eastern Ghats, India

K Remya, A Ramachandran, S Jayakumar - Ecological engineering, 2015 - Elsevier
Global biodiversity has already been altered by the climatic changes in various means like
species migration, changes in habitat distribution, seasonality changes in phenology etc. In …

Modeling potential invasion range of alien invasive species, Hyptis suaveolens (L.) Poit. in India: Comparison of MaxEnt and GARP

H Padalia, V Srivastava, SPS Kushwaha - Ecological informatics, 2014 - Elsevier
Abstract Bushmint (Hyptis suaveolens (L.) Poit.) is one among the world's most noxious
weeds. Bushmint is rapidly invading tropical ecosystems across the world, including India …