Evidence map›Paper›PMID 40621492›Full record

ArticleLandscape ecology2025

Understanding the hydrological and landscape connectivity of lakes.

P Taylor, L Carvalho, D Chapman, A Law, C Miller, M Scott, G Siriwardena, S J Thackeray, C Ward, C Wilkie and 1 more

Abstract read
In one paragraph

Article in Landscape ecology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

P TaylorUK Centre for Ecology & Hydrology (UKCEH), Bush Estate, Penicuik, EH26 0QB UK.ORCID 0000-0003-1663-9426
L CarvalhoUK Centre for Ecology & Hydrology (UKCEH), Bush Estate, Penicuik, EH26 0QB UK.
D ChapmanBiological and Environmental Sciences, University of Stirling, Stirling, FK9 4LA UK.
A LawBiological and Environmental Sciences, University of Stirling, Stirling, FK9 4LA UK.
C MillerSchool of Mathematics and Statistics, University of Glasgow, Glasgow, G12 8QQ UK.
M ScottSchool of Mathematics and Statistics, University of Glasgow, Glasgow, G12 8QQ UK.
G SiriwardenaBritish Trust for Ornithology (BTO), The Nunnery, Thetford, Norfolk, IP24 2PU UK.
S J ThackerayUK Centre for Ecology & Hydrology (UKCEH), Library Avenue, Bailrigg, Lancaster, LA1 4AP UK.
C WardBritish Trust for Ornithology (BTO), The Nunnery, Thetford, Norfolk, IP24 2PU UK.
C WilkieSchool of Mathematics and Statistics, University of Glasgow, Glasgow, G12 8QQ UK.
N WillbyBiological and Environmental Sciences, University of Stirling, Stirling, FK9 4LA UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Context: Connectivity is a key property of water, enabling the flow of energy, material and individuals within and between sites. Climate and land use changes can profoundly modify connectivity, yet few studies have quantified the patterns in connectivity among lakes at national scales. Objectives: Our objectives were: i) to examine relationships between a broad range of lake connectivity metrics, ii) to evaluate how lake connectivity varies nationally, regionally and in relation to land cover. Methods: We calculated hundreds of metrics of freshwater connectivity for all lakes in Great Britain > 1 ha (n = 10,095), quantifying connectedness in their catchments and surrounding landscape. Patterns of metrics, as well as their correlations and inter-connectedness, were examined at multiple scales. Results: Strong correlations existed within groups of metrics for lake, pond and river connectivity. However, both pond and river metrics varied independently of lake metrics. The most and least urban river basin districts showed noticeable differences in metric correlation. Lake area, pond count and river length in catchments were selected as a core set of connectivity metrics, which explain most of the variation across national and regional scales. Conclusions: Connectivity metrics can be synthesised to core groups that are easily calculated and effectively account for lake, pond and river connectivity. From a landscape management perspective, hydrological connectivity was highest

Indexed as

FreshwaterHydrological connectivityLake catchmentsLakesPondsRivers

Identifiers

PMID40621492
PMCPMC12226676

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.