Plumbing the depths: extending ecological niche modelling and species distribution modelling in three dimensions

2013 ◽  
Vol 22 (8) ◽  
pp. 952-961 ◽  
Author(s):  
Bastian Bentlage ◽  
A. Townsend Peterson ◽  
Narayani Barve ◽  
Paulyn Cartwright
Keyword(s):  
Species Distribution ◽  
Ecological Niche ◽  
Species Distribution Modelling ◽  
Ecological Niche Modelling ◽  
Three Dimensions ◽  
Niche Modelling ◽  
Distribution Modelling

scholarly journals A checklist for maximizing reproducibility of ecological niche models

2019 ◽  
Vol 3 (10) ◽  
pp. 1382-1395 ◽  
Author(s):  
Xiao Feng ◽  
Daniel S. Park ◽  
Cassondra Walker ◽  
A. Townsend Peterson ◽  
Cory Merow ◽  
...  
Keyword(s):  
Ecological Niche ◽  
Statistical Modelling ◽  
Species Distribution Modelling ◽  
Ecological Niche Modelling ◽  
Environmental Data ◽  
Model Parameters ◽  
Sufficient Information ◽  
Ecological Niche Models ◽  
Niche Modelling ◽  
Future Work

Abstract Reporting specific modelling methods and metadata is essential to the reproducibility of ecological studies, yet guidelines rarely exist regarding what information should be noted. Here, we address this issue for ecological niche modelling or species distribution modelling, a rapidly developing toolset in ecology used across many aspects of biodiversity science. Our quantitative review of the recent literature reveals a general lack of sufficient information to fully reproduce the work. Over two-thirds of the examined studies neglected to report the version or access date of the underlying data, and only half reported model parameters. To address this problem, we propose adopting a checklist to guide studies in reporting at least the minimum information necessary for ecological niche modelling reproducibility, offering a straightforward way to balance efficiency and accuracy. We encourage the ecological niche modelling community, as well as journal reviewers and editors, to utilize and further develop this framework to facilitate and improve the reproducibility of future work. The proposed checklist framework is generalizable to other areas of ecology, especially those utilizing biodiversity data, environmental data and statistical modelling, and could also be adopted by a broader array of disciplines.

scholarly journals Species Distribution Modelling Using Deep Learning

2019 ◽  
Vol 3 ◽  
Author(s):  
Rutger Vos ◽  
Mark Rademaker ◽  
Laurens Hogeweg
Keyword(s):  
Deep Learning ◽  
Species Distribution ◽  
Large Scale ◽  
Species Distribution Modelling ◽  
Climate Change Scenarios ◽  
Niche Modelling ◽  
Distribution Modelling ◽  
Biodiversity Science ◽  
Learning Techniques ◽  
Correlative Models

Species distribution modelling, or ecological niche modelling, is a collection of techniques for the construction of correlative models based on the combination of species occurrences and GIS data. Using such models, a variety of research questions in biodiversity science can be investigated, among which are the assessment of habitat suitability around the globe (e.g. in the case of invasive species), the response of species to alternative climatic regimes (e.g. by forecasting climate change scenarios, or by hindcasting into palaeoclimates), and the overlap of species in niche space. The algorithms used for the construction of such models include maximum entropy, neural networks, and random forests. Recent advances both in computing power and in algorithm development raise the possibility that deep learning techniques will provide valuable additions to these existing approaches. Here, we present our recent findings in the development of workflows to apply deep learning to species distribution modelling, and discuss the prospects for the large-scale application of deep learning in web service infrastructures to analyze the growing corpus of species occurrence data in biodiversity information facilities.

scholarly journals Impacts of climate change and species distribution modelling: Future scenarios to invasive alien lionfish distribution in the Mediterranean Sea

2019 ◽  
Vol 3 ◽  
Author(s):  
Cemal Turan
Keyword(s):  
Species Richness ◽  
Mediterranean Sea ◽  
Species Distribution ◽  
Marine Species ◽  
Species Distribution Modelling ◽  
Climatic Data ◽  
Niche Modelling ◽  
Distribution Modelling ◽  
Pterois Miles ◽  
The Mediterranean

The progress on species distribution modelling (SDM) methods has brought new insights into the field of biological invasion management. In particular, statistical niche modelling, for spatio-temporal predictions of marine species’ distribution, is an increasingly used tool, supporting efficient decision-making for prevention and conservation. Earth's climate has changed significantly in the last century and the number of alien species penetrating from Indo-Pacific Ocean and South part of the Atlantic in the Mediterranean will continue to increase over the next decades. The purpose of the present study was to predict the potential geographic distribution and expansion of invasive alien lionfish (Pterois miles and Pterois volitans) with ecological niche modelling along the Mediterranean Sea. Temporal and spatial occurrence data from the first occurrence of a species for each country with coast along the Mediterranean Sea, was used to develop robust predictions of species richness, since the capacity to predict spatial patterns of species richness remains largely unassessed in this region. Marine climatic data layers were collected from the Bio-ORACLE and MARSPEC global databases. Different statistical models were evaluated to establish if these could provide useful predictions of absolute and relative lionfish distribution and expansion. The findings are an important step towards validating the use of SDM for invasive alien lionfish in the Mediterranean Sea.

scholarly journals Ecological niche and species distribution modelling of sea stars along the Pacific Northwest continental shelf

2016 ◽  
Vol 22 (12) ◽  
pp. 1314-1327 ◽  
Author(s):  
Lenaïg G. Hemery ◽  
Scott R. Marion ◽  
Chris G. Romsos ◽  
Alexander L. Kurapov ◽  
Sarah K. Henkel
Keyword(s):  
Continental Shelf ◽  
Pacific Northwest ◽  
Species Distribution ◽  
Ecological Niche ◽  
Species Distribution Modelling ◽  
Sea Stars ◽  
Distribution Modelling ◽  
The Pacific
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