We mapped non‐native reef fish "hotspots" across Hawaiʻi by combining species records with environmental conditions and nearshore access/infrastructure proxies to identify areas where multiple non‐native fishes are likely to co‐occur. We then projected hotspot patterns through 2100 under future ocean conditions, showing that Oʻahu and Hawaiʻi Island ...
Laura Gajdzik, Kisei R. Tanaka
wiley +1 more source
Optimized MaxEnt model predicts potential suitable habitats of <i>Bidens bipinnata</i> in China under climate change scenario. [PDF]
Liu Y +5 more
europepmc +1 more source
ABSTRACT Tropical forest mammalian communities, particularly those in ecological transition zones, are under constant threat from human activity. In many regions, there is a lack of baseline data on suitable habitats and the environmental factors influencing their suitability.
Ernest D. B. Fotsing +2 more
wiley +1 more source
Prediction of Potential Distribution of Seven Plant Species of <i>Aster</i> (Asteraceae) Based on MaxEnt Model. [PDF]
Qin J +5 more
europepmc +1 more source
Harnessing social media data to track species range shifts
Abstract Biodiversity monitoring programs and citizen science data remain heavily biased toward the Global North. Especially in megadiverse countries with limited biodiversity records, incorporating social media data can help address existing data gaps.
Shawan Chowdhury +15 more
wiley +1 more source
Assessing the impact of climate change on habitat dynamics of <i>Hovenia dulcis</i> in China using the MaxEnt model. [PDF]
Li X +9 more
europepmc +1 more source
ABSTRACT Aim To identify hotspots and conservation priorities of biodiversity based on winter‐informed species distribution models for cold‐adapted mammals and birds, and their taxonomic, phylogenetic, and functional richness. Location The United States of America.
Spencer R. Keyser +4 more
wiley +1 more source
Predicting the potential distribution of <i>Corylus heterophylla</i> in China under future climate change using an optimized MaxEnt model. [PDF]
Wang J, Xing W, Sun P, Liu D, Cheng C.
europepmc +1 more source
ABSTRACT Aims Understanding broad‐scale ecological responses to global change is essential for investigating and conserving biodiversity. Sea turtles, with their ancient evolutionary history and global distribution, serve as an ideal model for understanding these ecological responses.
Tong Liu +4 more
wiley +1 more source
Predicting the potential distribution and climatic response of the endangered medicinal and edible species, Anoectochilus roxburghii, using an optimized MaxEnt model. [PDF]
Hou Y +7 more
europepmc +1 more source

