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Spatial relationship between biodiversity and geodiversity across a gradient of land-use intensity in high-latitude landscapes

Tukiainen, Helena; Alahuhta, Janne; Field, Richard; Ala-Hulkko, Terhi; Lampinen, Raino; Hjort, Jan (2017-03-27)

 
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URL:
https://doi.org/10.1007/s10980-017-0508-9

Tukiainen, Helena
Alahuhta, Janne
Field, Richard
Ala-Hulkko, Terhi
Lampinen, Raino
Hjort, Jan
Springer Nature
27.03.2017

Tukiainen, H., Alahuhta, J., Field, R. et al. Landscape Ecol (2017) 32: 1049. https://doi.org/10.1007/s10980-017-0508-9

https://rightsstatements.org/vocab/InC/1.0/
© Springer Science+Business Media Dordrecht 2017. This is a post-peer-review, pre-copyedit version of an article published in Landscape ecology. The final authenticated version is available online at: https://doi.org/10.1007/s10980-017-0508-9.
https://rightsstatements.org/vocab/InC/1.0/
doi:https://doi.org/10.1007/s10980-017-0508-9
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https://urn.fi/URN:NBN:fi-fe2019061320334
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Abstract

Context: ‘Conserving Nature’s stage’ has been advanced as an important conservation principle because of known links between biodiversity and abiotic environmental diversity, especially in sensitive high-latitude environments and at the landscape scale. However these links have not been examined across gradients of human impact on the landscape.

Objectives: To (1) analyze the relationships between land-use intensity and both landscape-scale biodiversity and geodiversity, and (2) assess the contributions of geodiversity, climate and spatial variables to explaining vascular plant species richness in landscapes of low, moderate and high human impact.

Methods: We used generalized additive models (GAMs) to analyze relationships between land-use intensity and both geodiversity (geological, geomorphological and hydrological richness) and plant species richness in 6191 1-km² grid squares across Finland. We used linear regression-based variation partitioning (VP) to assess contributions of climate, geodiversity and spatial variable groups to accounting for spatial variation in species richness.

Results: In GAMs, geodiversity correlated negatively, and plant species richness positively, with land-use intensity. Both relationships were non-linear. In VP, geodiversity best accounted for species richness in areas of moderate to high human impact. These overall contributions were mainly due to variation explained jointly with climate, which dominated the models. Independent geodiversity contributions were highest in pristine environments, but low throughout.

Conclusions: Human action increases biodiversity but may reduce geodiversity, at landscape scale in high-latitude environments. Better understanding of the connections between biodiversity and abiotic environment along changing land-use gradients is essential in developing sustainable measures to conserve biodiversity under global change.

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