Evidence map›Paper›PMID 39678815›Full record

ArticleCurrent zoology2024

Prioritizing landscapes for mitigating the impacts of onshore wind farms on multidimensional waterbird diversity in the Yellow Sea.

Shanshan Zhao, Huan Xu, Tianhou Wang, Hepeng Li, Xiuzhen Li, Ningning Liu, Xiao Song, Feng Guan, Xuechu Chen, Aichun Xu and 1 more

Abstract read
In one paragraph

Article in Current zoology, 2024. 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
–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

2 citing papers in PubMed.

  1. Review
  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

11 authors.

Shanshan ZhaoCollege of Life Sciences, Yangtze River Delta Institute of Biodiversity Conservation and Utilation, China Jiliang University, Hangzhou 310018, China.
Huan XuShanghai Wildlife and Protected Natural Areas Research Center, Shanghai 200336, China.
Tianhou WangSchool of Life Science, East China Normal University, Shanghai 200062, China.
Hepeng LiZhejiang Academy of Forestry, Hangzhou 310023, China.
Xiuzhen LiState Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai 200062, China.
Ningning LiuSchool of Life Sciences, Fudan University, Shanghai 200433, China.
Xiao SongCollege of Life Sciences, Yangtze River Delta Institute of Biodiversity Conservation and Utilation, China Jiliang University, Hangzhou 310018, China.
Feng GuanCollege of Life Sciences, Yangtze River Delta Institute of Biodiversity Conservation and Utilation, China Jiliang University, Hangzhou 310018, China.
Xuechu ChenState Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai 200062, China.
Aichun XuCollege of Life Sciences, Yangtze River Delta Institute of Biodiversity Conservation and Utilation, China Jiliang University, Hangzhou 310018, China.
Ben LiState Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai 200062, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ongoing wind energy developments play a key role in mitigating the global effects of climate change and the energy crisis; however, they have complex ecological consequences for many flying animals. The Yellow Sea coast is considered as an ecological bottleneck for migratory waterbirds along the East Asian-Australasian flyway (EAAF), and is also an important wind farm base in China. However, the effects of large-scale onshore wind farms along the EAAF on multidimensional waterbird diversity, and how to mitigate these effects, remain unclear. Here we examined how wind farms and their surrounding landscapes affected multidimensional waterbird diversity along the Yellow Sea coast. Taxonomic, functional, and phylogenetic diversity of the waterbird assemblages, and mean pairwise distances and nearest taxon distances with null models were quantified in relation to 4 different wind turbine densities. We also measured 6 landscape variables. Multi-dimensional waterbird diversity (taxonomic, functional, and phylogenetic diversity) significantly decreased with increasing wind turbine density. Functional and phylogenetic structures tended to be clustered in waterbird communities, and environmental filtering drove waterbird community assemblages. Furthermore, waterbird diversity was regulated by a combination of wind turbine density and landscape variables, with edge density of aquaculture ponds, in addition to wind turbine density, having the greatest independent contribution to waterbird diversity. These results suggest that attempts to mitigate the impact of wind farms on waterbird diversity could involve the landscape transformation of wind farm regions, for example, by including high-edge-density aquaculture ponds (i.e., industrial ponds) around wind farms, instead of traditional low-edge-density aquaculture ponds.

Indexed as

East China coastenvironmental filteringmitigation measurerenewable energysustainable developmentwaterbird conservation

Identifiers

PMID39678815
PMCPMC11634685

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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.