Transferability of 34 red-listed peatland plant species models across boreal vegetation zone

Red-listed species are negatively affected by habitat degradation and fragmentation. They usually have small populations and may be affected by local extinctions which makes species distribution modeling (SDM) challenging. Although SDM has been used extensively for biodiversity protection and region...

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Autores principales:	Parvez Rana, Anne Tolvanen
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Biodiversity Habitat modeling MaxEnt Peatlands Boreal forests Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/adc16b7e87154ab096c10a525bf0e522
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spelling	oai:doaj.org-article:adc16b7e87154ab096c10a525bf0e5222021-12-01T04:56:40ZTransferability of 34 red-listed peatland plant species models across boreal vegetation zone1470-160X10.1016/j.ecolind.2021.107950https://doaj.org/article/adc16b7e87154ab096c10a525bf0e5222021-10-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X21006154https://doaj.org/toc/1470-160XRed-listed species are negatively affected by habitat degradation and fragmentation. They usually have small populations and may be affected by local extinctions which makes species distribution modeling (SDM) challenging. Although SDM has been used extensively for biodiversity protection and regional land-use planning, the transferability of SDM between regions is still at the developmental level. We show a first attempt to demonstrate model transferability for red-listed plant species over boreal regions. We modeled the distribution of 34 red-listed boreal peatland plant species at national and regional levels, using multiple streams of environmental data in Finland. The objectives were: (1) to evaluate how environmental characteristics explaining species distribution differ between three regions covering five vegetation zones (subarctic, northern, middle, southern boreal, and hemi-boreal vegetation zones); (2) to assess the performance of one national and three regional species distribution models (SDM: northern, middle, and southern regions); and (3) to test whether the regional models can be transferred to other regions and discuss alternative methods to improve transferability. The maximum entropy (maxent) algorithm was employed to predict suitable habitats for the assessed species. An SDM performance was measured with the area under the receiver operative characteristics (AUC), true skill statistics (TSS), and the continuous Boyce index (CBI). Three conclusions are relevant. First, the environmental variables explaining species distribution differed significantly (p < 0.05) between the three regions. Second, the internal measure of accuracy measured as cross-validation of AUC, TSS, and the CBI was quite similar in both the national and regional models, which indicates that realistic species distribution maps could be generated from all models. Last, the external measure of accuracy (i.e. transferability) in the regional models was lower than the internal measure of accuracy, which indicates that a good regional model could not automatically ensure good performance when transferred to another region. To improve the transferability of the regional models, we suggest the normalizing of environmental variable values. The data-driven evaluation of red-listed plant species provides an approach that can be used in biodiversity and nature conservation.Parvez RanaAnne TolvanenElsevierarticleBiodiversityHabitat modelingMaxEntPeatlandsBoreal forestsEcologyQH540-549.5ENEcological Indicators, Vol 129, Iss , Pp 107950- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Biodiversity Habitat modeling MaxEnt Peatlands Boreal forests Ecology QH540-549.5
spellingShingle	Biodiversity Habitat modeling MaxEnt Peatlands Boreal forests Ecology QH540-549.5 Parvez Rana Anne Tolvanen Transferability of 34 red-listed peatland plant species models across boreal vegetation zone
description	Red-listed species are negatively affected by habitat degradation and fragmentation. They usually have small populations and may be affected by local extinctions which makes species distribution modeling (SDM) challenging. Although SDM has been used extensively for biodiversity protection and regional land-use planning, the transferability of SDM between regions is still at the developmental level. We show a first attempt to demonstrate model transferability for red-listed plant species over boreal regions. We modeled the distribution of 34 red-listed boreal peatland plant species at national and regional levels, using multiple streams of environmental data in Finland. The objectives were: (1) to evaluate how environmental characteristics explaining species distribution differ between three regions covering five vegetation zones (subarctic, northern, middle, southern boreal, and hemi-boreal vegetation zones); (2) to assess the performance of one national and three regional species distribution models (SDM: northern, middle, and southern regions); and (3) to test whether the regional models can be transferred to other regions and discuss alternative methods to improve transferability. The maximum entropy (maxent) algorithm was employed to predict suitable habitats for the assessed species. An SDM performance was measured with the area under the receiver operative characteristics (AUC), true skill statistics (TSS), and the continuous Boyce index (CBI). Three conclusions are relevant. First, the environmental variables explaining species distribution differed significantly (p < 0.05) between the three regions. Second, the internal measure of accuracy measured as cross-validation of AUC, TSS, and the CBI was quite similar in both the national and regional models, which indicates that realistic species distribution maps could be generated from all models. Last, the external measure of accuracy (i.e. transferability) in the regional models was lower than the internal measure of accuracy, which indicates that a good regional model could not automatically ensure good performance when transferred to another region. To improve the transferability of the regional models, we suggest the normalizing of environmental variable values. The data-driven evaluation of red-listed plant species provides an approach that can be used in biodiversity and nature conservation.
format	article
author	Parvez Rana Anne Tolvanen
author_facet	Parvez Rana Anne Tolvanen
author_sort	Parvez Rana
title	Transferability of 34 red-listed peatland plant species models across boreal vegetation zone
title_short	Transferability of 34 red-listed peatland plant species models across boreal vegetation zone
title_full	Transferability of 34 red-listed peatland plant species models across boreal vegetation zone
title_fullStr	Transferability of 34 red-listed peatland plant species models across boreal vegetation zone
title_full_unstemmed	Transferability of 34 red-listed peatland plant species models across boreal vegetation zone
title_sort	transferability of 34 red-listed peatland plant species models across boreal vegetation zone
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/adc16b7e87154ab096c10a525bf0e522
work_keys_str_mv	AT parvezrana transferabilityof34redlistedpeatlandplantspeciesmodelsacrossborealvegetationzone AT annetolvanen transferabilityof34redlistedpeatlandplantspeciesmodelsacrossborealvegetationzone
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Transferability of 34 red-listed peatland plant species models across boreal vegetation zone

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