Results 121 to 130 of about 46,860 (333)
Our analysis revealed that while climate strongly influenced species distributions, habitat change drove most observed delays in distribution responses. In terms of community ecology, dispersed communities exhibited shorter time lags than concentrated groups. Analyses of lag duration revealed a 5–6‐year distribution lag effect in high‐altitude ungulate
Lu Wang +6 more
wiley +1 more source
We demonstrate the use of maximum entropy based deconvolution to reconstruct boron spatial distribution from the secondary ion mass spectrometry (SIMS) depth profiles on a system of variously spaced boron $\delta$-layers grown in silicon.
A. Benninghoven +20 more
core +1 more source
Applying the maximum entropy principle to neural networks enhances multi‐species distribution models
Abstract The increasing volume of presence‐only (PO) data generated by citizen science initiatives has greatly expanded biodiversity databases, but the statistical use of these data in species distribution models (SDMs) remains limited by strong sampling biases and the absence of reliable absence information.
Maxime Ryckewaert +5 more
wiley +1 more source
Proboscis monkeys, Nasalis larvatus (Wurmb, 1787), are indigenous to the island of Borneo and are considered one of its most emblematic species. Today the conservation status of this primate is classified as Endangered on the IUCN Red List and listed ...
Volodymyr Tytar +2 more
doaj +1 more source
Assessment of suitable cultivation region for Pepino (Solanum muricatum) under different climatic conditions using the MaxEnt model and adaptability in the Qinghai–Tibet plateau [PDF]
Zhichao Hou +5 more
openalex +1 more source
This graphical abstract illustrates the impacts of climate change on the distribution of the Amazon‐endemic canid Atelocynus microtis, highlighting projected habitat loss under future scenarios (SSP2–4.5 and SSP5–8.5). Despite substantial reductions in suitable habitat, a significant proportion remains within Protected Areas, emphasizing their critical
Isabella Soares Moura Palha da Silva +3 more
wiley +1 more source
Sorghastrum 1984-2016 MaxEnt Results
Sorghastrum 1984-2016 MaxEnt ...
openaire +2 more sources
Identification of bio-climatic determinants and potential risk areas for Kyasanur forest disease in Southern India using MaxEnt modelling approach [PDF]
Malay Pramanik +2 more
openalex +1 more source
Global climate change will modify the distribution areas of important cereal bugs by changing environmental conditions. Information on their dispersal possibilities can help to clarify their future economic importance and damage potential. In this study, we modelled the current potential and future distribution of four important pests by using the ...
Szilvia Gibicsár +2 more
wiley +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

