Evidence map›Paper›PMID 39156121›Full record

ReviewThe anthropocene review2024

Using lake sediments to assess the long-term impacts of anthropogenic activity in tropical river deltas.

Richard E Walton, Heather L Moorhouse, Lucy R Roberts, Jorge Salgado, Cai Jt Ladd, Nga Thu Do, Virginia N Panizzo, Pham Dang Tri Van, Nigel K Downes, Duc Anh Trinh and 3 more

Abstract readReview
In one paragraph

Review in The anthropocene review, 2024. 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

13 authors.

Richard E WaltonNewcastle University, UK.ORCID https://orcid.org/0000-0002-2258-1374
Heather L MoorhouseEarthwatch Europe, UK.
Lucy R RobertsUniversity of Nottingham, UK.
Jorge SalgadoUniversity of Nottingham, UK.
Cai Jt LaddUniversity of Glasgow, UK.ORCID https://orcid.org/0000-0001-5437-6474
Nga Thu DoElectric Power University, Vietnam.
Virginia N PanizzoUniversity of Nottingham, UK.
Pham Dang Tri VanCan Tho University, Vietnam.
Nigel K DownesCan Tho University, Vietnam.
Duc Anh TrinhVietnam Atomic Energy Institute, Vietnam.
Suzanne McGowanUniversity of Nottingham, UK.
Sarah TaylorUniversity of Nottingham, UK.
Andrew Cg HendersonNewcastle University, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tropical river deltas, and the social-ecological systems they sustain, are changing rapidly due to anthropogenic activity and climatic change. Baseline data to inform sustainable management options for resilient deltas is urgently needed and palaeolimnology (reconstructing past conditions from lake or wetland deposits) can provide crucial long-term perspectives needed to identify drivers and rates of change. We review how palaeolimnology can be a valuable tool for resource managers using three current issues facing tropical delta regions: hydrology and sediment supply, salinisation and nutrient pollution. The unique ability of palaeolimnological methods to untangle multiple stressors is also discussed. We demonstrate how palaeolimnology has been used to understand each of these issues, in other aquatic environments, to be incorporated into policy. Palaeolimnology is a key tool to understanding how anthropogenic influences interact with other environmental stressors, providing policymakers and resource managers with a 'big picture' view and possible holistic solutions that can be implemented.

Indexed as

multiple stressorspalaeolimnologyresource managementriver deltastropics

Identifiers

PMID39156121
PMCPMC11324390

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.