Species Distribution Modeling for Machine Learning Practitioners: A Review

07/03/2021
by   Sara Beery, et al.
0

Conservation science depends on an accurate understanding of what's happening in a given ecosystem. How many species live there? What is the makeup of the population? How is that changing over time? Species Distribution Modeling (SDM) seeks to predict the spatial (and sometimes temporal) patterns of species occurrence, i.e. where a species is likely to be found. The last few years have seen a surge of interest in applying powerful machine learning tools to challenging problems in ecology. Despite its considerable importance, SDM has received relatively little attention from the computer science community. Our goal in this work is to provide computer scientists with the necessary background to read the SDM literature and develop ecologically useful ML-based SDM algorithms. In particular, we introduce key SDM concepts and terminology, review standard models, discuss data availability, and highlight technical challenges and pitfalls.

READ FULL TEXT
research
06/07/2021

Digital Taxonomist: Identifying Plant Species in Citizen Scientists' Photographs

Automatic identification of plant specimens from amateur photographs cou...
research
02/17/2021

StatEcoNet: Statistical Ecology Neural Networks for Species Distribution Modeling

This paper focuses on a core task in computational sustainability and st...
research
10/25/2021

Seeing biodiversity: perspectives in machine learning for wildlife conservation

Data acquisition in animal ecology is rapidly accelerating due to inexpe...
research
03/15/2021

I-Nema: A Biological Image Dataset for Nematode Recognition

Nematode worms are one of most abundant metazoan groups on the earth, oc...
research
04/27/2023

Statistical learning for species distribution models in ecological studies

We discuss species distribution models (SDM) for biodiversity studies in...
research
01/04/2018

Understanding the connections between species distribution models

Models for accurately predicting species distributions have become essen...
research
10/10/2021

Algorithmic collusion: A critical review

The prospect of collusive agreements being stabilized via the use of pri...

Please sign up or login with your details

Forgot password? Click here to reset