Evidence map›Paper›PMID 38172286›Full record

ArticleNature ecology & evolution2024

Stronger increases but greater variability in global mangrove productivity compared to that of adjacent terrestrial forests.

Zhen Zhang, Xiangzhong Luo, Daniel A Friess, Songhan Wang, Yi Li, Yangfan Li

Abstract read
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In one paragraph

Article in Nature ecology & evolution, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
13.3field-weighted citation impact, top 1% 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

3 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
  2. Article
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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 4 institutions in 3 countries.

Zhen ZhangState Key Laboratory of Marine Environmental Science, Key Laboratory of Coastal and Wetland Ecosystems (Ministry of Education), College of the Environment and Ecology, Xiamen University, Xiamen, China.ORCID http://orcid.org/0000-0002-8789-2202
Xiangzhong LuoDepartment of Geography, National University of Singapore, Singapore, Singapore. xzluo.remi@nus.edu.sg.ORCID http://orcid.org/0000-0002-9546-0960
Daniel A FriessDepartment of Earth and Environmental Sciences, Tulane University, New Orleans, LA, USA.
Songhan WangJiangsu Collaborative Innovation Center for Modern Crop Production/Key Laboratory of Crop Physiology and Ecology in Southern China, Nanjing Agricultural University, Nanjing, China.
Yi LiState Key Laboratory of Marine Environmental Science, Key Laboratory of Coastal and Wetland Ecosystems (Ministry of Education), College of the Environment and Ecology, Xiamen University, Xiamen, China.
Yangfan LiState Key Laboratory of Marine Environmental Science, Key Laboratory of Coastal and Wetland Ecosystems (Ministry of Education), College of the Environment and Ecology, Xiamen University, Xiamen, China. yangf@xmu.edu.cn.ORCID http://orcid.org/0000-0002-5419-7051
National University of Singapore · SGXiamen University · CNNanjing Agricultural University · CNTulane University · US

Funding

China Scholarship Council (CSC) 202106310079National Natural Science Foundation of China (National Science Foundation of China) 42276232
6 · The paper itself

Abstract

Mangrove forests are a highly productive ecosystem with important potential to offset anthropogenic greenhouse gas emissions. Mangroves are expected to respond differently to climate change compared to terrestrial forests owing to their location in the tidal environment and unique ecophysiological characteristics, but the magnitude of difference remains uncertain at the global scale. Here we use satellite observations to examine mean trends and interannual variability in the productivity of global mangrove forests and nearby terrestrial evergreen broadleaf forests from 2001 to 2020. Although both types of ecosystem experienced significant recent increases in productivity, mangroves exhibited a stronger increasing trend and greater interannual variability in productivity than evergreen broadleaf forests on three-quarters of their co-occurring coasts. The difference in productivity trends is attributed to the stronger CO

Indexed as

Carbon DioxideEcosystemForestsPhotosynthesisWetlandsCarbon Dioxide

Identifiers

PMID38172286
OpenAlexW4390572121

What OpenQuestion holds

Textmetadata
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.