» Articles » PMID: 33144939

Toward Reliable Habitat Suitability and Accessibility Models in an Era of Multiple Environmental Stressors

Overview
Journal Ecol Evol
Date 2020 Nov 4
PMID 33144939
Citations 5
Authors
Affiliations
Soon will be listed here.
Abstract

Global biodiversity declines, largely driven by climate and land-use changes, urge the development of transparent guidelines for effective conservation strategies. Species distribution modeling (SDM) is a widely used approach for predicting potential shifts in species distributions, which can in turn support ecological conservation where environmental change is expected to impact population and community dynamics. Improvements in SDM accuracy through incorporating intra- and interspecific processes have boosted the SDM field forward, but simultaneously urge harmonizing the vast array of SDM approaches into an overarching, widely adoptable, and scientifically justified SDM framework. In this review, we first discuss how climate warming and land-use change interact to govern population dynamics and species' distributions, depending on species' dispersal and evolutionary abilities. We particularly emphasize that both land-use and climate change can reduce the accessibility to suitable habitat for many species, rendering the ability of species to colonize new habitat and to exchange genetic variation a crucial yet poorly implemented component of SDM. We then unite existing methodological SDM practices that aim to increase model accuracy through accounting for multiple global change stressors, dispersal, or evolution, while shifting our focus to model feasibility. We finally propose a roadmap harmonizing model accuracy and feasibility, applicable to both common and rare species, particularly those with poor dispersal abilities. This roadmap (a) paves the way for an overarching SDM framework allowing comparison and synthesis of different SDM studies and (b) could advance SDM to a level that allows systematic integration of SDM outcomes into effective conservation plans.

Citing Articles

Using ecological niche modelling to prioritise areas for conservation of the critically endangered Buffy-Headed marmoset ().

Bataillard L, Eriksen A, de Melo F, Milagres A, Devineau O, Vital O Ecol Evol. 2024; 14(4):e11203.

PMID: 38584769 PMC: 10995821. DOI: 10.1002/ece3.11203.


Predicting the Potential Distribution of the Szechwan Rat Snake () and Its Response to Climate Change in the Yingjing Area of the Giant Panda National Park.

Song X, Jiang Y, Zhao L, Jin L, Yan C, Liao W Animals (Basel). 2023; 13(24).

PMID: 38136865 PMC: 10740900. DOI: 10.3390/ani13243828.


Alternative measures of trait-niche relationships: A test on dispersal traits in saproxylic beetles.

Burner R, Stephan J, Drag L, Potterf M, Birkemoe T, Siitonen J Ecol Evol. 2023; 13(10):e10588.

PMID: 37869428 PMC: 10585442. DOI: 10.1002/ece3.10588.


Regional habitat suitability for aquatic and terrestrial invasive plant species may expand or contract with climate change.

Nikkel E, Clements D, Anderson D, Williams J Biol Invasions. 2023; 25(12):3805-3822.

PMID: 37854296 PMC: 10579163. DOI: 10.1007/s10530-023-03139-8.


Toward reliable habitat suitability and accessibility models in an era of multiple environmental stressors.

De Kort H, Baguette M, Lenoir J, Stevens V Ecol Evol. 2020; 10(20):10937-10952.

PMID: 33144939 PMC: 7593202. DOI: 10.1002/ece3.6753.

References
1.
Charmantier A, Gienapp P . Climate change and timing of avian breeding and migration: evolutionary versus plastic changes. Evol Appl. 2014; 7(1):15-28. PMC: 3894895. DOI: 10.1111/eva.12126. View

2.
Fitzpatrick M, Keller S . Ecological genomics meets community-level modelling of biodiversity: mapping the genomic landscape of current and future environmental adaptation. Ecol Lett. 2014; 18(1):1-16. DOI: 10.1111/ele.12376. View

3.
Guo F, Lenoir J, Bonebrake T . Land-use change interacts with climate to determine elevational species redistribution. Nat Commun. 2018; 9(1):1315. PMC: 5883048. DOI: 10.1038/s41467-018-03786-9. View

4.
Pennino M, Paradinas I, Illian J, Munoz F, Bellido J, Lopez-Quilez A . Accounting for preferential sampling in species distribution models. Ecol Evol. 2019; 9(1):653-663. PMC: 6342115. DOI: 10.1002/ece3.4789. View

5.
Bertrand R, Riofrio-Dillon G, Lenoir J, Drapier J, de Ruffray P, Gegout J . Ecological constraints increase the climatic debt in forests. Nat Commun. 2016; 7:12643. PMC: 5007460. DOI: 10.1038/ncomms12643. View