Rebound in China’s coastal wetlands following conservation and restoration

Wang, Xinxin; Xiao, Xiangming; Xu, Xiao; Zou, Zhenhua; Chen, Bangqian; Qin, Yuanwei; Zhang, Xi; Dong, Jinwei; Liu, Diyou; Pan, Lianghao; Li, Bo

doi:10.1038/s41893-021-00793-5

Cited by 166 publications

(110 citation statements)

References 46 publications

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“…However, the huge differences are unlikely to be attributed to the tidal flat evolution. Especially, evidence shows that there is rebound in China's coastal wetland following restoration and conservation [70], which is contrary to the situation that Murray_TF (circa 2015) is generally much larger than our result (circa 2021). The generally larger tidal flat extent of Murray_TF has been studied in previous studies.…”

Section: Comparisions With Other Resultscontrasting

confidence: 99%

Mapping Tidal Flats of the Bohai and Yellow Seas Using Time Series Sentinel-2 Images and Google Earth Engine

Chang

et al. 2022

Remote Sensing

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Tidal flats are one of the most productive ecosystems on Earth, providing essential ecological and economical services. Because of the increasing anthropogenic interruption and sea level rise, tidal flats are under great threat. However, updated and large-scale accurate tidal flat maps around the Bohai and Yellow Seas are still relatively rare, hindering the assessment and management of tidal flats. Based on time-series Sentinel-2 imagery and Google Earth Engine (GEE), we proposed a new method for tidal flat mapping with the Normalized Difference Water Index (NDWI) extremum composite around the Bohai and Yellow Seas. Tidal flats were derived from the differences of maximum and minimum water extent composites. Overall, 3477 images acquired from 1 Oct 2020 to 31 Oct 2021 produced a tidal flat map around the Bohai and Yellow Seas with an overall accuracy of 94.55% and total area of 546,360.2 ha. The resultant tidal flat map at 10 m resolution, currently one of the most updated products around the Bohai and Yellow Seas, could facilitate the process of sustainable policy making related to tidal flats and will help reveal the processes and mechanisms of its responses to natural and human disturbance.

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Section: Comparisions With Other Resultscontrasting

confidence: 99%

Mapping Tidal Flats of the Bohai and Yellow Seas Using Time Series Sentinel-2 Images and Google Earth Engine

Chang

et al. 2022

Remote Sensing

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“…3B). In China, there was also a large net reduction of tidal flat extent of >1000 km 2 largely due to reclamation ( 24 ) but net gains of tidal marshes (+ 200 km 2 ) that coincided with the rapid expansion of Spartina alterniflora across the country’s intertidal zone (Fig. 3C) (25), thus reducing China’s net tidal wetland loss to 800 km 2 (table S3).…”

mentioning

confidence: 99%

High-resolution mapping of losses and gains of Earth’s tidal wetlands

Murray

Worthington

Bunting

et al. 2022

Science

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Tidal wetlands are expected to respond dynamically to global environmental change, but the extent to which wetland losses have been offset by gains remains poorly understood. We developed a global analysis of satellite data to simultaneously monitor change in three highly interconnected intertidal ecosystem types—tidal flats, tidal marshes, and mangroves—from 1999 to 2019. Globally, 13,700 square kilometers of tidal wetlands have been lost, but these have been substantially offset by gains of 9700 km 2 , leading to a net change of −4000 km 2 over two decades. We found that 27% of these losses and gains were associated with direct human activities such as conversion to agriculture and restoration of lost wetlands. All other changes were attributed to indirect drivers, including the effects of coastal processes and climate change.

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“…Our empirical study was conducted in the wetlands in the north of Bohai Bay, between 38°36′-39°13′N and 117°11′-118.22′E, located in the northwest of the Yellow Sea (Figure S3). Despite habitat being lost in the surveyed area, the loss of favoured habitat was minimal, with the highest food density for migratory waterbirds compared to other staging sites in the Northern Yellow Sea (Peng et al, 2021;Wang et al, 2021;Yang et al, 2016). Our surveyed area is most equivalent to the S1 site in our IBMs.…”

Section: Empirical Datamentioning

confidence: 93%

Unravelling the processes between phenotypic plasticity and population dynamics in migratory birds

Liu

Lei

et al. 2022

Journal of Animal Ecology

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Populations can rapidly respond to environmental change via adaptive phenotypic plasticity, which can also modify interactions between individuals and their environment, affecting population dynamics. Bird migration is a highly plastic resource‐tracking tactic in seasonal environments. However, the link between the population dynamics of migratory birds and migration tactic plasticity is not well‐understood. The quality of staging habitats affects individuals' migration timing and energy budgets in the course of migration and can consequently affect individuals' breeding and overwintering performance, and impact population dynamics. Given staging habitats being lost in many parts of the world, our goal is to investigate responses of individual migration tactics and population dynamics in the face of loss of staging habitat and to identify the key processes connecting them. We started by constructing and analysing a general full‐annual‐cycle individual‐based model with a stylized migratory population to generate hypotheses on how changes in the size of staging habitat might drive changes in individual stopover duration and population dynamics. Next, through the interrogation of survey data, we tested these hypotheses by analysing population trends and stopover duration of migratory waterbirds experiencing the loss of staging habitat. Our modelling exercise led to us posing the following hypotheses: the loss of staging habitat generates plasticity in migration tactics, with individuals remaining on the staging habitat for longer to obtain food due to a reduction in per capita food availability. The subsequent increasing population density on the staging habitat has knock‐on effects on population dynamics in the breeding and overwintering stage. Our empirical results were consistent with the modelling predictions. Our results demonstrate how environmental change that impacts one energetically costly life‐history stage in migratory birds can have population dynamic impacts across the entire annual cycle via phenotypic plasticity.

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Rebound in China’s coastal wetlands following conservation and restoration

Cited by 166 publications

References 46 publications

Mapping Tidal Flats of the Bohai and Yellow Seas Using Time Series Sentinel-2 Images and Google Earth Engine

Mapping Tidal Flats of the Bohai and Yellow Seas Using Time Series Sentinel-2 Images and Google Earth Engine

High-resolution mapping of losses and gains of Earth’s tidal wetlands

Unravelling the processes between phenotypic plasticity and population dynamics in migratory birds

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