Article
Details
Citation
Law A, Baker A, Sayer CD, Foster G, Gunn IDM, Macadam CR & Willby NJ (2024) Repeatable patterns in the distribution of freshwater biodiversity indicators across contrasting landscapes. Landscape Ecology, 39 (11). https://doi.org/10.1007/s10980-024-01992-z
Abstract
Context Freshwater biodiversity is declining at
unparalleled rates, but fundamental questions remain over how it is distributed at the spatial scales most relevant for conservation management.
Objectives Here, we test the hypothesis that freshwater biodiversity is distributed across standing waterbody types in a pattern that is reproducible across disparate biota and contrasting landscapes,
such that conservation efforts can be aligned across landscapes and taxa.
Methods We analysed the richness, composition and distribution of macrophytes, molluscs, beetles and odonates from 199 standing waterbodies (lakes, ponds, ditches and canals) nested within UK landscapes with contrasting dominant land use (agricultural, upland and suburban).
Results We found a common pattern in the distribution of our biodiversity indicators across waterbody types in all landscapes that was largely repeated across biota; lakes consistently had the highest or equal alpha diversity and supported a greater proportion of the sampled species pool in each landscape (mean=86%) in comparison to ponds (74%). Landscape-specific waterbody types (ditches and canals) also contributed significantly to the regional species
pool (69 and 33% respectively). Each waterbody type contributed uniquely to landscape biodiversity and usually species of conservation concern, rather than simply supporting a subset of ubiquitous species found in lakes.
Conclusions Landscape-wide management strategies that encompass multiple habitats and biota should prove advantageous and generalisable.
Keywords
Biodiversity distribution; Invertebrate; Lake; Macrophyte; Pond
Journal
Landscape Ecology: Volume 39, Issue 11
Status | Published |
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Funders | , , , and |
Publication date online | 30/11/2024 |
Date accepted by journal | 22/10/2024 |
URL | |
Publisher | Springer Science and Business Media LLC |
ISSN | 0921-2973 |
eISSN | 1572-9761 |
People (2)
Lecturer in Nature-Based Solutions, Biological and Environmental Sciences
Professor & Associate Dean of Research, Biological and Environmental Sciences