Evaluating drivers and predictability of catch composition in a highly mixed trawl fishery using stacked and joint species distribution models

JA Smith, DD Johnson - Fisheries Research, 2024 - Elsevier
Evaluating drivers and the predictability of catch is valuable for the management of mixed
fisheries. Drivers can represent or help to identify levers for management and predictable …

Quantifying the relative importance of biotic and abiotic factors in landscape-based models of stream fish distributions

CA Custer, DP Fischer, G Smith, A Henning… - Community …, 2024 - Springer
Lotic fish species distributions are frequently predicted using remotely sensed habitat
variables that characterize the adjacent landscape and serve as proxies for instream habitat …

Tree species identity shapes the relationship between canopy cover and herb‐layer species in temperate forests

C Vallé, I Le Viol, J Nabias, K Princé… - Journal of …, 2024 - Wiley Online Library
The composition of canopy tree species is known to impact the distribution of herb‐layer
species through various factors, such as light availability, soil structure and composition …

Rapid structural network changes in bird communities

S Rigal, V Devictor, V Dakos - bioRxiv, 2025 - biorxiv.org
As biodiversity is declining, the dynamics of species interactions is a growing conservation
concern. However, estimating and monitoring species interactions across large spatial and …

Ecological drivers of fish metacommunity structure in boreal shield lakes

W Beach - 2025 - thesis.lakeheadu.ca
Fish community composition in freshwater lakes is shaped by a range of biotic and abiotic
factors, including environmental conditions, species interactions, and spatial connectivity …

Cascading Predictions from Common to Rare Species Improves Species Distribution Models

J Xu, K Low, C Botella, D Shasha, A Joly - papers.ssrn.com
Species distribution modeling is central to many questions in ecology and biodiversity
conservation. State-of-the-art approaches such as Maxent or XGBoost are known to be …