Results 41 to 50 of about 1,002,080 (260)

Mapping the Abundance of Multipurpose Agroforestry Faidherbia albida Trees in Senegal

Remote Sensing, 2022
Multi-purpose Faidherbia albida trees represent a vital component of agroforestry parklands in West Africa as they provide resources (fodder for livestock, fruits and firewood) and support water lifting and nutrient recycling for cropping.
Tingting Lu, Martin Brandt, Xiaoye Tong, Pierre Hiernaux, Louise Leroux, Babacar Ndao, Rasmus Fensholt   +6 more
doaj   +1 more source

The use of an integrated framework combining eco-evolutionary data and species distribution models to predict range shifts of species under changing climates

MethodsX
Species distribution models (SDMs) are powerful tools that can predict potential distributions of species under climate change. However, traditional SDMs that rely on current species occurrences may underestimate their climatic tolerances and potential ...
Wen-Xun Lu, Guang-Yuan Rao
doaj   +1 more source

Caveats for correlative species distribution modeling

Ecological Informatics, 2015
Abstract Correlative species distribution models are becoming commonplace in the scientific literature and public outreach products, displaying locations, abundance, or suitable environmental conditions for harmful invasive species, threatened and endangered species, or species of special concern.
Catherine S. Jarnevich, Thomas J. Stohlgren, Sunil Kumar 0020, Jeffrey T. Morisette, Tracy R. Holcombe   +4 more
openaire   +1 more source

Uncertainty analysis of species distribution models

PLOS ONE, 2019
The maximum entropy model, a commonly used species distribution model (SDM) normally combines observations of the species occurrence with environmental information to predict the geographic distributions of animal or plant species. However, it only produces point estimates for the probability of species existence.
Xi Chen, Nedialko B. Dimitrov, Lauren Ancel Meyers   +2 more
openaire   +3 more sources

Bounding species distribution models [PDF]

Current Zoology, 2011
Species distribution models are increasing in popularity for mapping suitable habitat for species of management concern. Many investigators now recognize that extrapolations of these models with geographic information systems (GIS) might be sensitive to the environmental bounds of the data used in their development, yet there is no recommended best ...
Jeffrey T. Morisette, Wayne E. Esaias, Catherine S. Jarnevich, Thomas J. Stohlgren   +3 more
openaire   +3 more sources

Phosphatidylinositol 4‐kinase as a target of pathogens—friend or foe?

FEBS Letters, EarlyView.
This graphical summary illustrates the roles of phosphatidylinositol 4‐kinases (PI4Ks). PI4Ks regulate key cellular processes and can be hijacked by pathogens, such as viruses, bacteria and parasites, to support their intracellular replication. Their dual role as essential host enzymes and pathogen cofactors makes them promising drug targets.
Ana C. Mendes, Guilherme M. Azevedo, Amanda P. Barcellos, Diana Bahia   +3 more
wiley   +1 more source

Protein pyrophosphorylation by inositol pyrophosphates — detection, function, and regulation

FEBS Letters, EarlyView.
Protein pyrophosphorylation is an unusual signaling mechanism that was discovered two decades ago. It can be driven by inositol pyrophosphate messengers and influences various cellular processes. Herein, we summarize the research progress and challenges of this field, covering pathways found to be regulated by this posttranslational modification as ...
Sarah Lampe, Tanmay Kumar Mohanty, Rashna Bhandari, Dorothea Fiedler   +3 more
wiley   +1 more source

Ecological status and spatial extent of non-native shrubs Lantana camara L. and Ageratina adenophora Sprengel in the forest communities of western Himalaya

Trees, Forests and People
This research elucidates the ecological status and spatial extent of two non-native invasive species, Lantana camara L. and Ageratina adenophorum Sprengel, within dominant forest communities across an altitude gradient in the western Himalayan region ...
Vinod Chandra Joshi, Naveen Chandra, R.C. Sundriyal, Dhani arya, Arun Pratap Mishra, Hazem Ghassan Abdo   +5 more
doaj   +1 more source

A Robust Prediction Model for Species Distribution Using Bagging Ensembles with Deep Neural Networks

Remote Sensing, 2021
Species distribution models have been used for various purposes, such as conserving species, discovering potential habitats, and obtaining evolutionary insights by predicting species occurrence. Many statistical and machine-learning-based approaches have
Jehyeok Rew, Yongjang Cho, Eenjun Hwang
doaj   +1 more source

A Deep Learning Approach to Species Distribution Modelling [PDF]

, 2018
Species distribution models (SDM) are widely used for ecological research and conservation purposes. Given a set of species occurrence, the aim is to infer its spatial distribution over a given territory. Because of the limited number of occurrences of specimens, this is usually achieved through environmental niche modeling approaches, i.e.
Botella, Christophe, Joly, Alexis, Bonnet, Pierre, Monestiez, Pascal, Munoz, François   +4 more
openaire   +3 more sources