An interpretable machine learning method for supporting ecosystem management: Application to species distribution models of freshwater macroinvertebrates

embarcadero: Species distribution modelling with Bayesian additive regression trees in r

(2020) Colin J. Carlson   Methods in Ecology and Evolution

A taxonomy-free approach based on machine learning to assess the quality of rivers with diatoms

(2020) Maria João Feio et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Testing the ability of species distribution models to infer variable importance

(2020) Adam B. Smith et al.   ECOGRAPHY

Improving species distribution model predictive accuracy using species abundance: Application with boosted regression trees

(2020) Hao Yu et al.   ECOLOGICAL MODELLING

Failure mode and effects analysis of RC members based on machine-learning-based SHapley Additive exPlanations (SHAP) approach

(2020) Sujith Mangalathu et al.   ENGINEERING STRUCTURES

Predicting stream water quality under different urban development pattern scenarios with an interpretable machine learning approach

(2020) Runzi Wang et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Assessing the Vulnerability of Aquatic Macroinvertebrates to Climate Warming in a Mountainous Watershed: Supplementing Presence-Only Data with Species Traits

(2019) Anne-Laure Besacier Monbertrand et al.   Water

Towards real-time respiratory motion prediction based on long short-term memory neural networks

(2019) Hui Lin et al.   PHYSICS IN MEDICINE AND BIOLOGY

Tree-based ensembles unveil the microhabitat suitability for the invasive bleak (Alburnus alburnus L.) and pumpkinseed (Lepomis gibbosus L.): Introducing XGBoost to eco-informatics

(2019) Rafael Muñoz-Mas et al.   Ecological Informatics

Definitions, methods, and applications in interpretable machine learning

(2019) W. James Murdoch et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Techniques for interpretable machine learning

(2019) Mengnan Du et al.   COMMUNICATIONS OF THE ACM

Nutrient loadings and deforestation decrease benthic macroinvertebrate diversity in an urbanised tropical stream system

(2019) Elfritzson M. Peralta et al.   LIMNOLOGICA

Baseline tissue levels of trace metals and metalloids to approach ecological threshold concentrations in aquatic macroinvertebrates

(2018) Pilar Rodriguez et al.   ECOLOGICAL INDICATORS

Thermal and hydrologic responses to climate change predict marked alterations in boreal stream invertebrate assemblages

(2018) Kaisa-Riikka Mustonen et al.   GLOBAL CHANGE BIOLOGY

Multiple-stressor effects of sediment, phosphorus and nitrogen on stream macroinvertebrate communities

(2018) Stephen J. Davis et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Cascaded neural networks improving fish species prediction accuracy: the role of the biotic information

(2018) Simone Franceschini et al.   Scientific Reports

Investigating the influence of habitat structure and hydraulics on tropical macroinvertebrate communities

(2018) Rafael Muñoz-Mas et al.   ECOHYDROLOGY & HYDROBIOLOGY

Evolutionary algorithms for species distribution modelling: A review in the context of machine learning

(2018) Sacha Gobeyn et al.   ECOLOGICAL MODELLING

Input variable selection with a simple genetic algorithm for conceptual species distribution models: A case study of river pollution in Ecuador

(2017) Sacha Gobeyn et al.   ENVIRONMENTAL MODELLING & SOFTWARE

A boosted decision tree approach using Bayesian hyper-parameter optimization for credit scoring

(2017) Yufei Xia et al.   EXPERT SYSTEMS WITH APPLICATIONS

Analysis and prediction of the spatial distribution of EPT (Ephemeroptera, Plecoptera, and Trichoptera) assemblages in the Han River watershed in Korea

(2017) Seung-Phil Chun et al.   JOURNAL OF ASIA-PACIFIC ENTOMOLOGY

Analysis and prediction of the spatial distribution of EPT (Ephemeroptera, Plecoptera, and Trichoptera) assemblages in the Han River watershed in Korea

(2017) Seung-Phil Chun et al.   JOURNAL OF ASIA-PACIFIC ENTOMOLOGY

Interactive effects of urban stormwater drainage, land clearance, and flow regime on stream macroinvertebrate assemblages across a large metropolitan region

(2016) Christopher J. Walsh et al.   Freshwater Science

Interactive effects of urban stormwater drainage, land clearance, and flow regime on stream macroinvertebrate assemblages across a large metropolitan region

(2016) Christopher J. Walsh et al.   Freshwater Science

Generating realistic assemblages with a joint species distribution model

(2015) David J. Harris   Methods in Ecology and Evolution

What do we gain from simplicity versus complexity in species distribution models?

(2014) Cory Merow et al.   ECOGRAPHY

Relationships between invertebrate communities and both hydrological regime and other environmental factors across New Zealand's rivers

(2014) D. J. Booker et al.   Ecohydrology

Identifying appropriate spatial scales of predictors in species distribution models with the random forest algorithm

(2012) Ute Bradter et al.   Methods in Ecology and Evolution

Species Distribution Models: Ecological Explanation and Prediction Across Space and Time

(2009) Jane Elith et al.   Annual Review of Ecology Evolution and Systematics

Thresholds in macroinvertebrate biodiversity and stoichiometry across water-quality gradients in Central Plains (USA) streams

(2009) Michelle A. Evans-White et al.   JOURNAL OF THE NORTH AMERICAN BENTHOLOGICAL SOCIETY

Ecological threshold responses in European lakes and their applicability for the Water Framework Directive (WFD) implementation: synthesis of lakes results from the REBECCA project

(2008) Anne Lyche Solheim et al.   AQUATIC ECOLOGY

A working guide to boosted regression trees

(2008) J. Elith et al.   JOURNAL OF ANIMAL ECOLOGY