Evidence map›Paper›PMID 36518290›Full record

ArticlePeerJ2022

Litter inputs and standing stocks in riparian zones and streams under secondary forest and managed and abandoned cocoa agroforestry systems.

Haialla Carolina Rialli Santos Brandão, Camila Andrade Coqueiro Moraes, Ana Paula Silva, José Francisco Gonçalves Júnior, Renan de Souza Rezende, Daniela Mariano Lopes da Silva

Abstract read
In one paragraph

Article in PeerJ, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Haialla Carolina Rialli Santos BrandãoPrograma de Pós Graduação em Desenvolvimento e Meio Ambiente, Universidade Estadual de Santa Cruz, Ilhéus, Bahia, Brazil.ORCID 0000-0003-3017-8654
Camila Andrade Coqueiro MoraesUniversidade Estadual de Santa Cruz, Ilhéus, Bahia, Brazil.ORCID 0000-0002-6774-8377
Ana Paula SilvaUniversidade Estadual de Santa Cruz, Ilhéus, Bahia, Brazil.
José Francisco Gonçalves JúniorAquaRiparia/Lab. de Limnologia, Departamento de Ecologia, Universidade de Brasília, Brasilia, Brazil.ORCID 0000-0002-2488-7094
Renan de Souza RezendeUniversidade Comunitária da Região do Chapecó, Chapecó, Santa Catarina, Brazil.ORCID 0000-0002-4129-0863
Daniela Mariano Lopes da SilvaDepartamento de Ciências Biológicas, Universidade Estadual de Santa Cruz, Ilhéus, Bahia, Brazil.ORCID 0000-0002-9741-6170

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cocoa is an important tropical tree crop that is mainly cultivated in agroforestry systems (AFS). This system, known as cabruca in northeastern Brazil, holds promise to reconcile biodiversity conservation and economic development. However, since cocoa AFS alters forest structure composition, it can affect litter dynamics in riparian zones and streams. Thus, our objective was to determine litter inputs and standing stocks in riparian zones and streams under three types of forest: managed cocoa AFS, abandoned cocoa AFS, and secondary forest. Methods: We determined terrestrial litter fall (TI), vertical (VI) and lateral (LI) litter inputs to streams, and litter standing stocks on streambeds (BS) in the Atlantic Forest of northeastern Brazil. Litter was collected every 30 days from August 2018 to July 2019 using custom-made traps. The litter was dried, separated into four fractions (leaves, branches, reproductive organs, and miscellaneous material) and weighed. Results: Terrestrial litter fall was similar in all forests, ranging from 89 g m

Indexed as

CacaoRiversBiodiversityForestsTreesAgroforestry systemCocoaLitterfallRiparian vegetationTropical streams

Identifiers

PMID36518290
PMCPMC9744167

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Registered trials

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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.