Evidence map›Paper›PMID 31773384›Full record

ArticleEnvironmental monitoring and assessment2019

Temporal variability of a protected multispecific tropical seagrass meadow in response to environmental change.

E Alonso Aller, J S Eklöf, M Gullström, U Kloiber, H W Linderholm, L M Nordlund

Open access · hybridAbstract read
In one paragraph

Article in Environmental monitoring and assessment, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.9field-weighted citation impact, top 14% of its field
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

2 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. 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

6 authors at 3 institutions in 1 country.

E Alonso AllerDepartment of Ecology, Environment and Plant Sciences, Stockholm University, Stockholm, Sweden.
J S EklöfDepartment of Ecology, Environment and Plant Sciences, Stockholm University, Stockholm, Sweden.
M GullströmDepartment of Ecology, Environment and Plant Sciences, Stockholm University, Stockholm, Sweden.
U KloiberChumbe Island Coral Park (CHICOP), Zanzibar, Tanzania.
H W LinderholmRegional Climate Group, Department of Earth Sciences, Gothenburg University, Gothenburg, Sweden.
L M NordlundNatural Resources and Sustainable Development, Department of Earth Sciences, Campus Gotland, Uppsala University, Uppsala, Sweden. lina.mtwana.nordlund@geo.uu.se.ORCID http://orcid.org/0000-0002-4450-2331
Stockholm University · SEUniversity of Gothenburg · SEUppsala University · SE

Funding

Swedish Research Council SWE-2012-086Swedish Research Council Formas 2014-1288
6 · The paper itself

Abstract

In a changing environment, there is an increasing interest to monitor ecosystems to understand their responses to environmental change. Seagrass meadows are highly important ecosystems that are under constant pressure from human activities and climate impacts, with marked declines observed worldwide. Despite increasing efforts, monitoring of multispecific tropical seagrass meadows is scarce, particularly in low-income regions. Based on data from a monitoring programme in a marine protected area in Zanzibar (Tanzania), we assessed temporal changes in seagrass cover and species composition during a 10-year period in relation to local variability in environmental variables. We observed a strong, gradual decline in seagrass cover and changes in species composition, followed by a period of recovery. However, the timing and length of these temporal patterns varied in space (between transects). Multiple environmental variables-cloud cover, temperature, storm occurrence, sunspot activity, and tidal amplitude and height-influenced seagrass cover, although only to a minor extent, suggesting that the monitored seagrass meadow may be influenced by other unmeasured factors (e.g. water currents and sediment movement). Our results show that seagrass meadows can be highly dynamic at small (10-50 m) spatial scales, even in the absence of major local anthropogenic impacts. Our findings suggest that high-resolution monitoring programmes can be highly valuable for the detection of temporal changes in multispecific seagrass meadows; however, to understand the causes of change, there is a need of long-term (> 10 years) data series that include direct measurements of environmental variables and extreme events.

Indexed as

Climate ChangeEnvironmental MonitoringSeawaterAlismatalesEcosystemHumansTanzaniaTropical ClimateEast AfricaMarine protected areaMonitoringTanzaniaTemporal dynamics

Identifiers

PMID31773384
PMCPMC6879446
OpenAlexW2989570139

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.