Correlative climatic niche models predict real and virtual species distributions equally well

Ecology ◽  
2019 ◽  
Vol 101 (1) ◽  
Author(s):  
Valentin Journé ◽  
Jean‐Yves Barnagaud ◽  
Cyril Bernard ◽  
Pierre‐André Crochet ◽  
Xavier Morin
Keyword(s):  
Species Distributions ◽  
Climatic Niche ◽  
Niche Models ◽  
Virtual Species

Using virtual species to study species distributions and model performance

2012 ◽  
Vol 40 (1) ◽  
pp. 1-8 ◽  
Author(s):  
Christine N. Meynard ◽  
David M. Kaplan
Keyword(s):  
Model Performance ◽  
Species Distributions ◽  
Virtual Species ◽  
Study Species

Climatic niche models and their consensus projections for future climates for four major forest tree species in the Asia–Pacific region

2016 ◽  
Vol 360 ◽  
pp. 357-366 ◽  
Author(s):  
Tongli Wang ◽  
Guangyu Wang ◽  
John Innes ◽  
Craig Nitschke ◽  
Haijun Kang
Keyword(s):  
Tree Species ◽  
Forest Tree ◽  
Asia Pacific ◽  
Pacific Region ◽  
Asia Pacific Region ◽  
Climatic Niche ◽  
Forest Tree Species ◽  
Niche Models

Sufficient versus optimal climatic stability during the Late Quaternary: using environmental quality to guide phylogeographic inferences in a Neotropical montane system

2019 ◽  
Vol 100 (6) ◽  
pp. 1783-1807 ◽  
Author(s):  
Mariano Soley-Guardia ◽  
Ana Carolina Carnaval ◽  
Robert P Anderson
Keyword(s):  
Late Quaternary ◽  
Species Distributions ◽  
Molecular Data ◽  
Population Connectivity ◽  
Ecological Niche Models ◽  
Tropical Ecosystems ◽  
Climatic Oscillations ◽  
Novel Approach ◽  
Ecological Principle ◽  
Niche Models

Abstract Quaternary climatic oscillations affected species distributions worldwide, creating cycles of connectivity and isolation that impacted population demography and promoted lineage divergence. These effects have been well studied in temperate regions. Taxa inhabiting mesic montane habitats in tropical ecosystems show high levels of endemism and diversification in the distinct mountain ranges they inhabit; such a pattern has commonly been ascribed to past climatic oscillations, but few phylogeographic studies have tested this hypothesis. Here, we combine ecological niche models of species distributions with molecular data to study phylogeographic patterns in two rodents endemic to the highlands of Costa Rica and western Panama (Reithrodontomys creper and Nephelomys devius). In so doing, we apply a novel approach that incorporates a basic ecological principle: the expected positive relationship between environmental suitability and population abundance. Specifically, we use niche models to predict potential patterns of population connectivity and stability of different suitability levels during climatic extremes of the last glacial–interglacial cycle; we then test these predictions with population genetic analyses of a mitochondrial and a nuclear marker. The detailed predictions arising from the different levels of suitability were moderately to highly congruent with the molecular data depending on the species. Overall, results suggest that in these tropical montane ecosystems, cycles of population connectivity and isolation followed a pattern opposite to that typically described for temperate or lowland tropical ecosystems: namely, higher connectivity during the colder glacials, with isolation in montane refugia during the interglacials, including today. Nevertheless, the individualistic patterns for each species indicate a potentially wide gamut of phylogeographic histories reflecting particularities of their niches. Taken together, this study illustrates how phylogeographic inferences may benefit from niche model outputs that provide more detailed predictions of connectivity and finer characterizations of potential refugia through time.

Environmental Data

2011 ◽  
Author(s):  
A. Townsend Peterson ◽  
Jorge Soberón ◽  
Richard G. Pearson ◽  
Robert P. Anderson ◽  
Enrique Martínez-Meyer ◽  
...  
Keyword(s):  
Ecological Niche ◽  
Ecological Niche Modeling ◽  
Spatial Scales ◽  
Species Distributions ◽  
Niche Modeling ◽  
Environmental Data ◽  
Potential Utility ◽  
Ecological Niche Models ◽  
Ancillary Data ◽  
Niche Models

This chapter focuses on the conceptual and applied aspects of environmental data in the context of building and interpreting ecological niche models. It first examines how different suites of environmental factors may affect species distributions across a range of spatial scales before discussing which and how many variables are needed for ecological niche modeling. It then reviews the diverse sources of environmental datasets that are of potential utility in ecological niche modeling and concludes by considering a number of challenges involved in designing and choosing environmental data for ecological niche modeling. These challenges include data preparation, data quality, spatial extent, resolution in space and time, types of environmental data, and ancillary data.

scholarly journals Improved Predictions of the Geographic Distribution of Invasive Plants Using Climatic Niche Models

PLoS ONE ◽  
2016 ◽  
Vol 11 (5) ◽  
pp. e0156029 ◽  
Author(s):  
Jorge E. Ramírez-Albores ◽  
Ramiro O. Bustamante ◽  
Ernesto I. Badano
Keyword(s):  
Invasive Plants ◽  
Geographic Distribution ◽  
Climatic Niche ◽  
Niche Models

scholarly journals Using Remote Sensing for Modeling and Monitoring Species Distributions

2020 ◽  
pp. 199-223
Author(s):  
Jesús N. Pinto-Ledezma ◽  
Jeannine Cavender-Bares
Keyword(s):  
Remote Sensing ◽  
Temporal Resolution ◽  
Species Distributions ◽  
Climatic Data ◽  
Environmental Niche ◽  
Distribution Models ◽  
Spatial Coverage ◽  
Global Coverage ◽  
Environmental Niche Models ◽  
Niche Models

AbstractInterpolated climate surfaces have been widely used to predict species distributions and develop environmental niche models. However, the spatial coverage and density of meteorological sites used to develop these surfaces vary among countries and regions, such that the most biodiverse regions often have the most sparsely sampled climatic data. We explore the potential of satellite remote sensing (S-RS) products—which have consistently high spatial and temporal resolution and nearly global coverage—to quantify species-environment relationships that predict species distributions. We propose several new environmental metrics that take advantage of high temporal resolution in S-RS data and compare these approaches to classic climate-only approaches using the live oaks (Quercus section Virentes) as a case study. We show that models perform similarly but for some species, particularly in understudied regions, show less precision in predicting spatial distribution. These results provide evidence supporting efforts to enhance environmental niche models and species distribution models (ENMs/SDMs) with S-RS data and, when combined with other approaches for species detection, will likely enhance our ability to monitor biodiversity globally.

scholarly journals Imprecisely georeferenced specimen data provide unique information on species' distributions and environmental tolerances: Don't let the perfect be the enemy of the good

2021 ◽  
Author(s):  
Adam B. Smith ◽  
Stephen J. Murphy ◽  
David Henderson ◽  
Kelley D. Erickson
Keyword(s):  
Climate Change ◽  
Niche Breadth ◽  
Species Distributions ◽  
Environmental Data ◽  
Mean Annual Temperature ◽  
Climatic Niche ◽  
Temperature And Precipitation ◽  
Trade Offs ◽  
Geographic Distributions ◽  
Environmental Tolerances

Conservation assessments frequently use occurrence records to estimate species' geographic distributions and environmental tolerances. Typically, records with imprecise geolocality information are discarded before analysis because they cannot be matched confidently to environmental conditions. However, removing records can artificially truncate species' environmental and geographic distributions. Here we evaluate the trade-offs between using versus discarding imprecise records when estimating species' ranges and climatic tolerances. We collated records from 44 species in the genus Asclepias (milkweeds). Records were designated "precise" if they could be matched confidently to environmental data, and "imprecise" if not. We compared estimates of extent of occurrence (EOO), climatic niche breadth, and exposure to climate change using precise records only, as well as precise plus imprecise records together. To estimate EOO, we conservatively assigned imprecise records to points within their area of likely collection that were closest to the centroid of precise records. Similarly, to estimate climatic tolerances and exposure to climate change, we matched imprecise records to climate values that were most similar to the mean across precise records. Across all species, including imprecise records increased EOO by 85% (median value; range across species: 0-2011%). Univariate niche breadth in mean annual temperature and precipitation increased by 25% (0-353%) and 28% (0-292%), respectively, while multivariate niche volume increased by 175% (8-13909%). Adding imprecise records increased suitable area in the present and area that remained suitable in the future. Imprecise records provide novel information about species' distributions and climatic niche tolerances. While the default practice of discarding imprecise records ensures that only accurate data are used, it dramatically reduces estimates of range size and overestimates exposure to climate change. The benefits of discarding imprecisely geolocated records must be balanced against the loss of information incurred by their elimination.

scholarly journals Climatic niche comparison between closely related trans-Palearctic species of the genus Orthocephalus (Insecta: Heteroptera: Miridae: Orthotylinae)

PeerJ ◽  
2020 ◽  
Vol 8 ◽  
pp. e10517
Author(s):  
Anna A. Namyatova
Keyword(s):  
Climatic Factors ◽  
Wide Distribution ◽  
Climatic Variables ◽  
Environmental Niche ◽  
Niche Modelling ◽  
Climatic Niche ◽  
Closely Related Species ◽  
Geographic Ranges ◽  
Palearctic Species ◽  
Niche Models

Previously climatic niche modelling had been studied for only a few trans-Palearctic species. It is unclear whether and to what extent those niches are different, and which climatic variables influence such a wide distribution. Here, environmental niche modelling is performed based on the Worldclim variables using Maxent for eight species of the genus Orthocephalus (Insecta: Heteroptera: Miridae: Orthotylinae). This group belongs to one of the largest insect families and it is distributed across Palearctic. Orthocephalus bivittatus, O. brevis, O. saltator and O. vittipennis are distributed across Europe and Asia; O. coriaceus, O. fulvipes, O. funestus, O. proserpinae have more limited distribution. Niche comparison using ENMTools was also undertaken to compare the niches of these species, and to test whether the niches of closely related species with trans-Palearctic distributions are more similar to each other, than to other congeners. It has been found that climatic niche models of all trans-Palearctic species under study are similar but are not identical to each other. This has been supported by niche geographic projections, climatic variables contributing to the models and variable ranges. Climatic niche models of all the trans-Palearctic Orthocephalus species are also very similar to two species having more restricted distribution (O. coriaceus, O. funestus). Results of this study suggest that trans-Palearctic distributions can have different geographic ranges and be shaped by different climatic factors.

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