Bayesian species distribution models integrate presence‐only and presence–absence data to predict deer distribution and relative abundance

V Morera‐Pujol, PS Mostert, KJ Murphy, T Burkitt… - …, 2023 - Wiley Online Library
Using geospatial data of wildlife presence to predict a species distribution across a
geographic area is among the most common tools in management and conservation. The …

Accounting for unobserved spatial variation in step selection analyses of animal movement via spatial random effects

R Arce Guillen, F Lindgren, S Muff… - Methods in Ecology …, 2023 - Wiley Online Library
Step selection analysis (SSA) is a common framework for understanding animal movement
and resource selection using telemetry data. Such data are, however, inherently …

Building use‐inspired species distribution models: Using multiple data types to examine and improve model performance

CD Braun, MC Arostegui, N Farchadi… - Ecological …, 2023 - Wiley Online Library
Species distribution models (SDMs) are becoming an important tool for marine conservation
and management. Yet while there is an increasing diversity and volume of marine …

[HTML][HTML] Spatial modelling of agro-ecologically significant grassland species using the INLA-SPDE approach

A Fichera, R King, J Kath, D Cobon… - Scientific Reports, 2023 - nature.com
The use of spatially referenced data in agricultural systems modelling has grown in recent
decades, however, the use of spatial modelling techniques in agricultural science is limited …

A 40‐year chronology of the vulnerability of spinetail devil ray (Mobula mobular) to eastern Pacific tuna fisheries and options for future conservation and management

SP Griffiths, N Lezama‐Ochoa - Aquatic Conservation: Marine …, 2021 - Wiley Online Library
Tuna fisheries are among the largest and most valuable fisheries in the world, but most
interact with many non‐target species, including several of high conservation importance …

Spatial pattern consistency and repeatability of proximal soil sensor data for digital soil mapping

HE Ahrends, A Simojoki… - European Journal of Soil …, 2023 - Wiley Online Library
Data from proximal soil sensors can facilitate digital soil mapping at high spatial resolutions.
However, their use for predicting static soil properties, such as texture, is affected by spatio …

Size distribution patterns of silky shark Carcharhinus falciformis shaped by environmental factors in the Pacific Ocean

R Kindong, O Sarr, J Wang, M Xia, F Wu, L Dai… - Science of The Total …, 2022 - Elsevier
Commercial fisheries, especially pelagic longline fisheries targeting tuna and/or swordfish,
often land silky sharks (Carcharhinus falciformis), which are currently listed as vulnerable by …

Spatial species distribution models: Using Bayes inference with INLA and SPDE to improve the tree species choice for important European tree species

M Engel, T Mette, W Falk - Forest Ecology and Management, 2022 - Elsevier
Species distribution models (SDMs) are a standard tool for predicting species occurrence
under climate change. Despite its limitations, SDMs have been widely used to assist forest …

[HTML][HTML] Analysis of multiple pathways and levels of fluoride intake in fluorosis areas of Southwest China

J Yang, C Tu, Q Jiang, J Wang, L Li, RB Finkelman - Heliyon, 2023 - cell.com
In the coal-burning fluorosis areas of China, over 10 million people suffer from dental
fluorosis caused by multiple pathways of fluoride intake. However, the link between dental …

[HTML][HTML] Assessing drivers of estuarine debris using a Bayesian spatial modelling approach (INLA-SPDE)

J Gacutan, H Tait, GF Clark - Estuarine, Coastal and Shelf Science, 2024 - Elsevier
Estuaries are under increasing pressure from urbanization, including through the release of
domestic wastes such as anthropogenic debris. Growing concern over environmental …