Evidence map›Paper›PMID 38591004›Full record

ArticleiScience2024

Dynamics of land cover changes and carbon emissions driven by large dams in China.

Liuyue He, Nishan Bhattarai, Yadu Pokhrel, Nan Jia, Peng Zhu, Guanqiong Ye, Zhenci Xu, Shaohua Wu, Zhongbin B Li

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in iScience, 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
6.4field-weighted citation impact, top 4% 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, 9 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

9 authors at 7 institutions in 3 countries.

Liuyue HeDonghai Laboratory, Zhoushan 316021, Zhejiang, China.
Nishan BhattaraiDepartment of Geography and Environmental Sustainability, University of Oklahoma, Norman, OK 73019, USA.
Yadu PokhrelDepartment of Civil and Environmental Engineering, Michigan State University, East Lansing, MI 48824, USA.
Nan JiaCenter for Systems Integration and Sustainability, part of College of Agriculture and Natural Resources, Michigan State University, East Lansing, MI 48824, USA.
Peng ZhuDepartment of Geography, The University of Hong Kong, Hong Kong 999077, China.
Guanqiong YeOcean College, Zhejiang University, Zhoushan 316021, Zhejiang, China.
Zhenci XuDepartment of Geography, The University of Hong Kong, Hong Kong 999077, China.
Shaohua WuInstitute of Land and Urban-Rural Development, Zhejiang University of Finance and Economics, Hangzhou 310018, China.
Zhongbin B LiSchool of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China.
Michigan State University · USZhejiang Ocean University · CNCity University of Hong Kong, Shenzhen Research Institute · CNUniversity of Hong Kong · HKUniversity of Oklahoma · USWuhan University · CNZhejiang University of Finance and Economics · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The recent surge in dam construction has sparked debates regarding their contribution to carbon neutrality and food security, focusing on trade-offs between production benefits and ecological drawbacks. However, how dams affect carbon emissions and land cover changes, including their spatial differentiations, remains unclear. We quantified spatiotemporal variations in carbon emissions and storage of 137 large dams in China from 1992 to 2020, resulting from land cover change in potentially affected areas. We observed a lesser increase in carbon emissions and a more pronounced increase in carbon storage driven by forest conservation and regeneration within dam-affected areas compared to unaffected areas. Additionally, we noticed an increased grain yield in nearby areas potentially due to increased water availability. Our findings highlight the importance of considering land cover change when assessing carbon neutrality or grain yield at regional and national scales. This study provides useful insights into optimizing dam locations to mitigate future carbon emissions effectively.

Indexed as

Agricultural landBiogeoscienceHydrologyLand use

Identifiers

PMID38591004
PMCPMC10999998
OpenAlexW4392919385

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.