UCL logo

UCL Discovery

UCL home » Library Services » Electronic resources » UCL Discovery

Disentangling the effects of land use and geo-climatic factors on diversity in European freshwater ecosystems

Feld, CK; Birk, S; Eme, D; Gerisch, M; Hering, D; Kernan, M; Maileht, K; ... Malard, F; + view all (2016) Disentangling the effects of land use and geo-climatic factors on diversity in European freshwater ecosystems. Ecological Indicators , 60 pp. 71-83. 10.1016/j.ecolind.2015.06.024. Green open access

[img]
Preview
Text
Sayer_Feld_et_al_2016_pre-pub.pdf - ["content_typename_Accepted version" not defined]

Download (716kB) | Preview

Abstract

Land use effects are considered among the main stressors on freshwater biodiversity, with up to 80% of land in Europe under intensive use. Here, we address the impact of arable and urban landscapes on taxon richness, Shannon–Wiener diversity, taxon rareness and taxonomic distinctness of eleven organism groups encompassing vertebrates, invertebrates and plants, occurring in five freshwater ecosystem types across Europe: rivers, floodplains, lakes, ponds and groundwater. In addition, nine geo-climatic descriptors (e.g. latitude, longitude, precipitation) were used to disentangle land use effects from those of natural drivers of biodiversity. Using a variance partitioning scheme based on boosted regression trees and generalised linear regression modelling, we sought: (i) to partition the unique, shared and unexplained variation in the metrics explained by both groups of descriptor variables, (ii) to quantify the contribution of each descriptor variable to biodiversity variation in the most parsimonious regression model and (iii) to identify interactions of land use and natural descriptors. The variation in biodiversity uniquely described by land use was consistently low across both ecosystem types and organism groups. In contrast, geo-climatic descriptors uniquely, and jointly with land use, explained significantly more variance in all 39 biodiversity metrics tested. Regression models revealed significant interactions between geo-climatic descriptors and land use for a third of the models, with interactions accounting for up to 17% of the model's deviance. However, no consistent patterns were observed related to the type of biodiversity metric and organism group considered. Subdividing data according to the strongest geo-climatic gradient in each dataset aimed to reduce the strength of natural descriptors relative to land use. Although data sub-setting can highlight land use effects on freshwater biodiversity, sub-setting our data often failed to produce stronger land use effects. There was no increase in spatial congruence in the subsets, suggesting that the observed land use effects were not dependent on the spatial extent of the subsets. Our results confirm significant joint effects of, and interactions between, land use and natural environmental descriptors on freshwater biodiversity, across ecosystem types and organism groups. This has implications for biodiversity monitoring. First, the combined analysis of anthropogenic and natural descriptors is a prerequisite for the analysis of human threats to biodiversity. Second, geo-climatically, but not necessarily geographically more homogeneous datasets can help unmask the role of anthropogenic descriptors. And third, whole community-based biodiversity metrics (including taxon richness) are not ideal indicators of anthropogenic effects on biodiversity at broad scales.

Type: Article
Title: Disentangling the effects of land use and geo-climatic factors on diversity in European freshwater ecosystems
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.ecolind.2015.06.024
Publisher version: http://dx.doi.org/10.1016/j.ecolind.2015.06.024
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Freshwater ecosystems, Biodiversity, Arable land, Urban area, Geo-climatic descriptors, Variance partitioning
UCL classification: UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL SLASH
UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of SandHS > Dept of Geography
URI: http://discovery.ucl.ac.uk/id/eprint/1475827
Downloads since deposit
199Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item