Evidence map›Paper›PMID 36979088›Full record

ArticleBiology2023

Larval Dispersal Modeling Reveals Low Connectivity among National Marine Protected Areas in the Yellow and East China Seas.

Jiaying Lu, Yuanjie Chen, Zihan Wang, Feng Zhao, Yisen Zhong, Cong Zeng, Ling Cao

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Article in Biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

7 authors.

Jiaying LuSchool of Oceanography, Shanghai Jiao Tong University, Shanghai 200240, China.
Yuanjie ChenSchool of Oceanography, Shanghai Jiao Tong University, Shanghai 200240, China.ORCID 0000-0001-7582-4811
Zihan WangSchool of Oceanography, Shanghai Jiao Tong University, Shanghai 200240, China.ORCID 0000-0002-7764-8775
Feng ZhaoSchool of Oceanography, Shanghai Jiao Tong University, Shanghai 200240, China.
Yisen ZhongSchool of Oceanography, Shanghai Jiao Tong University, Shanghai 200240, China.ORCID 0000-0003-0741-8963
Cong ZengSchool of Oceanography, Shanghai Jiao Tong University, Shanghai 200240, China.ORCID 0000-0003-1003-9382
Ling CaoSchool of Oceanography, Shanghai Jiao Tong University, Shanghai 200240, China.

Funding

Blue Planet Found (OPF & WWF) PORO001426Key Laboratory of Marine Ecological Monitoring and Restoration Technologies MEMRT202112Ministry of Science and Technology of the People's Republic of China 2022YFC3102400National Natural Science Foundation of China 42142018National Natural Science Foundation of China 42206082Oceanic Interdisciplinary Program of Shanghai Jiao Tong University SL2021PT101Shanghai Frontiers Science Center of Polar Science SCOPSShanghai Pilot Program for Basic Research-Shanghai Jiao Tong University 21TQ1400220
6 · The paper itself

Abstract

Marine protected areas (MPAs) are vital for protecting biodiversity, maintaining ecosystem integrity, and tackling future climate change. The effectiveness of MPA networks relies on connectivity, yet connectivity assessments are often skipped in the planning process. Here we employed a multi-species biophysical model to examine the connectivity patterns formed among the 21 national MPAs in the Yellow and East China Seas. We simulated the potential larval dispersal of 14 oviparous species of five classes. Larvae of non-migratory species with pelagic larval duration (PLD) were assumed to be passive floating particles with no explicit vertical migration. A total of 217,000 particles were released according to spawning period, living depth, and species distribution, and they were assumed to move with currents during the PLD. Most larvae were dispersed around the MPAs (0-60 m isobaths) and consistent with the currents. Larval export increased with PLD and current velocity, but if PLD was too long, few larvae survived due to high daily mortality during pelagic dispersal. The overall connectivity pattern exhibited a north-to-south dispersal trend corresponding to coastal currents. Our results indicated that the national MPAs in the Yellow and East China Seas did not form a well-connected network and nearly 30% of them were isolated. These MPAs formed three distinct groups, one in the Yellow Sea ecoregion and two in the East China Sea ecoregion. Four MPAs (all in coastal Zhejiang) emerged as key nodes for ensuring multi-generational connectivity. Under the pressure of future climate change, high self-recruitment and low connectivity present significant challenges for building well-connected MPA networks. We suggest adding new protected areas as stepping stones for bioecological corridors. Focused protection of the Yellow Sea ecoregion could have a good effect on the southern part of the population recruitment downstream. Conservation management should be adjusted according to the life cycles and distributions of vulnerable species, as well as seasonal changes in coastal currents. This study provides a scientific basis for improving ecological connectivity and conservation effectiveness of MPAs in the Yellow and East China Seas.

Indexed as

biophysical modelingconnectivitylarval dispersalmarine protected areasnetwork

Identifiers

PMID36979088
PMCPMC10044727

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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.