Research Article | Open Access
D. Mao, Z. Wang, Y. Wang, C.-Y. Choi, M. Jia, M. V. Jackson, R. A. Fuller, "Remote Observations in China’s Ramsar Sites: Wetland Dynamics, Anthropogenic Threats, and Implications for Sustainable Development Goals", Journal of Remote Sensing, vol. 2021, Article ID 9849343, 13 pages, 2021. https://doi.org/10.34133/2021/9849343
Remote Observations in China’s Ramsar Sites: Wetland Dynamics, Anthropogenic Threats, and Implications for Sustainable Development Goals
The Ramsar Convention on Wetlands is an international framework through which countries identify and protect important wetlands. Yet Ramsar wetlands are under substantial anthropogenic pressure worldwide, and tracking ecological change relies on multitemporal data sets. Here, we evaluated the spatial extent, temporal change, and anthropogenic threat to Ramsar wetlands at a national scale across China to determine whether their management is currently sustainable. We analyzed Landsat data to examine wetland dynamics and anthropogenic threats at the 57 Ramsar wetlands in China between 1980 and 2018. Results reveal that Ramsar sites play important roles in preventing wetland loss compared to the dramatic decline of wetlands in the surrounding areas. However, there are declines in wetland area at 18 Ramsar sites. Among those, six lost a wetland area greater than 100 km2, primarily caused by agricultural activities. Consistent expansion of anthropogenic land covers occurred within 43 (75%) Ramsar sites, and anthropogenic threats from land cover change were particularly notable in eastern China. Aquaculture pond expansion and Spartina alterniflora invasion were prominent threats to coastal Ramsar wetlands. The observations within China’s Ramsar sites, which in management regulations have higher levels of protection than other wetlands, can help track progress towards achieving United Nations Sustainable Development Goals (SDGs). The study findings suggest that further and timely actions are required to control the loss and degradation of wetland ecosystems.
Wetlands are among the most fragile ecosystems, vulnerable to climate change and human disturbances, and have experienced striking loss and degradation worldwide [1–3]. Understanding the spatial extent, temporal changes, and ecosystem threats of wetlands is important in achieving the United Nations Sustainable Development Goals (SDGs) which highlight the protection of wetlands [4, 5]. However, due to the difficulty in accurately delineating wetland boundaries caused by complex composition and spectral features, there are few reliable assessments of wetland change at global or national scales . This deficiency may result in unsustainable wetland ecosystem management and hinder policy improvement.
China has the fourth largest wetland coverage in the world. Its wetlands account for 5% of the nation’s territorial area . However, wetland loss has occurred rapidly in China despite the value of these ecosystems being recognized [8, 9]. Multiple studies have reported on wetland changes and their driving factors [5, 10]. For example, it was estimated that the total wetland area in China declined by more than 50,000 km2 between 1990 and 2000, and 33% of China’s wetlands were lost between 1978 and 2008 [11, 12]. Cropland expansion contributed 60% to the loss of vegetated wetlands in China between 1990 and 2010 . Yet little is known about the anthropogenic processes driving those losses, hampering sustainable management and long-term conservation of wetlands. China has established a large number of wetland protected areas , but it is unclear whether the actions have stopped wetland losses within these protected areas.
The Ramsar Convention on Wetlands, established in 1971, was the first globally coordinated institutional framework for wetland conservation and wise use . Currently, 2,354 Ramsar sites are designated and distributed among 170 countries, protecting 13–18% of global wetlands . Since the adoption of the Ramsar Convention in 1992, China had designated 57 Ramsar wetland sites by 2019 with a total area of 69,486 km2 aimed at protecting the principal ecological characteristics and biodiversity of those areas (http://www.ramsar.org). The protection of Ramsar wetlands has strong governmental commitment through domestic legislation in China, and a systematic evaluation of Ramsar sites is critical for informing their management and indicative for wetland protection across the country .
Ecological change in Ramsar wetlands can be assessed through multiple indicators including widely used spectral vegetation indices (e.g., normalized difference vegetation index, NDVI), landscape metrics, and directly measured ecosystem parameters [16, 17]. Although wetland loss and degradation have been documented to some degree using those methods in several Ramsar sites in China, specific anthropogenic threats, such as agricultural cultivation, industrial footprint, aquaculture development, and biological invasions, have not been quantitatively investigated. A systematic understanding of spatial extent, temporal changes, and major threats to Ramsar wetlands is required for wetland management and policy improvement to achieve ecological sustainability.
In this study, we evaluated the effects that Ramsar designation has had on wetland conservation in China, with the aim of informing wetland management and protection measures at the national scale. To achieve this goal, we mapped land cover changes within and adjacent to the 57 Ramsar sites between 1980 and 2018 at decadal intervals. We compared wetland change within and adjacent to the Ramsar sites before and after their designation and investigated the coverage proportion and temporal changes in anthropogenic land covers including cropland and built-up land. Finally, we examined the expansion of aquaculture ponds and damaging invasive species, Spartina alterniflora (S. alterniflora), introduced into China’s coastal Ramsar wetlands. Our evaluation of wetland protection efficacy across China’s Ramsar sites will provide valuable insights into management and policy priorities for wetlands to promote the protection of wetlands and biodiversity worldwide.
2. Materials and Methods
2.1. Study Area
Ramsar sites protect the habitat of a large number of endangered migratory waterbirds, aquatic animals, and natural plants or ecosystems and are an important component of the wetland protection system in China. The 57 Ramsar sites (Figure 1(a)) designated by 2019 occur from the Grand Khingan Hanma Wetlands in the north (51° 35N, Site No. 1,976) to the Dongzhaigang in Hainan in the south (19° 59N, Site No. 553). According to the National Wetlands Conservation Program (NWCP), the largest number of sites (16) occur in the coastal region (CRC), while the fewest (1) are found in the lower and middle reaches of the Yellow River (YER; Figures 1(a) and 1(c)). The largest Ramsar site, the Selincuo Wetlands in Tibet (Site No. 2,352), has an area of 19,836 km2, while the Hangzhou Xixi Wetlands in Zhejiang (Site No. 1,867) has the smallest area (3 km2). China’s Ramsar sites include multiple natural wetland types including inland swamp, marsh, lake, river, coastal mangrove, bare tidal flat, estuary, and shallow marine water. Detailed designation number, name, and date for each Ramsar site is provided in supplementary Table S1.
2.2. Landsat Satellite Images
Although the widely used national land use data product has advantages such as a five-year interval and 30 m spatial resolution, we performed our image classification for a finer wetland classification with reliable data accuracy and consistency for each Ramsar site. We selected 5 time periods at approximately decadal intervals (1980, 1990, 2000, 2010, and 2018) to evaluate the effects of the Ramsar Convention on Wetlands in China. Due to the scarcity of available images in 1980, images in adjacent years were supplemented to classify land cover in 1980. Sixty-four Landsat scenes were required to cover the entire extent of all Ramsar sites (Figure 2). Multiseasonal images characterizing phenological features could support the identification of different land cover types. Therefore, for obtaining the land cover data sets for each the five years, we collected a total of 768 images (with ) from the open access source by the United States Geological Survey (USGS). Prior to image classification, data preprocessing including geometric, topographic, and radiometric corrections was performed for all images using the ENVI 5.1 software package.
2.3. Land Cover Classification
To reduce seasonal variation in land cover, images in the months from June to September were primarily used, while images from other months were used as auxiliary data. A hybrid approach combining object-based image analysis and hierarchical decision-tree classification (HOHC) performed in the eCognition software (version 9.2) was used due to its advantages in segmenting images into homogeneous objects and semiautomated distinguishing of these objects ensuring both classification accuracy and efficiency [7, 18]. The classification accuracies of final data sets were evaluated using independent ground reference samples, which were acquired from field surveys, public databases, and high-resolution images from Google Earth [19–21]. An outline of the process used for Landsat image classification is adopted from Mao et al.  and illustrated in Figure 3.
We determined and adapted a classification by referencing the level of Class I of the National Land Cover Database of China (ChinaCover)  and considering the classification potential of the Landsat images (Table 1). We were able to categorize land cover classes into natural (woodland, grassland, wetland, and barren land) and anthropogenic (cropland and built-up land) types according to Table 1. To permit a detailed assessment of anthropogenic land cover, cropland was further divided into dry farmland and paddy field, while built-up land was classified into residential land, industrial land, transportation land, and mining land. The classification at the second level (Class II) for wetlands was derived from our proposed wetland classification system for national wetland mapping . According the Ramsar wetland definition, we classified all waterbodies in the Ramsar site as wetlands. Although a paddy field is an important human-made wetland type, we nonetheless classified it into cropland to reflect its limited ecosystem function and the high intensity of human management. In this study, classifications were performed to the level of Class II for the inland Ramsar wetland sites and Class III for coastal Ramsar wetland sites. To investigate conversions among wetland categories, we separated human-made wetlands including reservoirs/artificial ponds and canals/channels from natural wetlands. Moreover, to examine the impacts of aquaculture development on natural wetlands, the expansion of aquaculture ponds in the coastal Ramsar sites was assessed using the methods described in Ren et al. . Exotic plant invasion is also impacting a number of Ramsar sites in China. S. alterniflora, native to the Atlantic coastal America, has been the most invasive species in coastal wetlands. In our study, data on the distribution of S. alterniflora were obtained from the study of Liu et al.  and Mao et al.  to evaluate exotic plant invasion on natural wetlands.
For evaluating the classification results, accuracies were assessed by field wetland samples which were provided by the Wetland Science Data Centre of China (http://www.igadc.cn/). These samples were investigated with the support of several national research projects . All classifications achieved consistency with validation samples characterized by overall accuracies for both Class II and Class III larger than 85%.
2.4. Statistical Analysis
We compared areal changes in wetlands from 1980 to 2018 within and around (10 km buffer) China’s Ramsar sites. We also used data sets in the four time periods to investigate changes in wetland area and anthropogenic threats before and after their Ramsar designation. The areal proportion of anthropogenic land covers within the Ramsar site was used to represent the direct anthropogenic threats in corresponding sites  (equation (1)). Considering the evident human disturbances from human activities on coastal wetlands, areal changes in aquaculture ponds were quantified during the investigated different periods. Moreover, expansion of artificially introduced exotic species from North America, S. alterniflora, was estimated in major coastal Ramsar sites from 1990. Therefore, the top four anthropogenic threats to Ramsar wetlands considered in this study were agricultural cultivation, built-up land expansion including urbanization and industrial footprint, aquaculture development, and exotic species invasion.
For a Ramsar site with two different anthropogenic threats (e.g., cropland and built-up land), the direct anthropogenic threat was calculated as where represents the area of cropland in a Ramsar site, represents the area of built-up land in a Ramsar site, and represents the total area of a Ramsar site.
3.1. Spatial Extent and Temporal Changes of Wetlands within and Adjacent to Ramsar Sites
Landsat-based observations revealed that there were 32,692 km2 of wetlands protected in the 57 Ramsar sites in 2018. Among these, 19 sites (33%) had wetland coverage larger than 90% and 14 sites had wetland coverage (including all water bodies) ranging between 50% and 90% (Figure 4(a)). Sites with high wetland coverage mostly occurred in eastern China (Figure 4(b)), especially in the CRC. The Ramsar sites in Inner Mongolia-Xinjiang Plateau (MXP) and Yunnan-Guizhou Plateau (YGP) had lower wetland coverages than that those in other geographic regions. Three sites in shallow marine waters, i.e., the Yangtze Estuarine Wetland Nature Reserve for Chinese Sturgeon (Site No. 1,730) in Shanghai, the Nanpeng Archipelago Wetlands (Site No. 2,249) in Guangdong, and the Dalian National Spotted Seal Nature Reserve (Site No. 1,147) in Liaoning, had wetland coverages of 100%. However, 11 sites (19%) had wetland coverages of only 30%–50%, while another 13 sites (23%) had wetland coverage lower than 30%. The Selincuo Wetlands in Tibet (Site No. 2,352) contained the largest total wetland area of 6,094 km2, dominated by lakes. The Dajiu Lake Wetland (Site No. 2,186) in Hubei had the smallest wetland area (1.4 km2) and coverage (1%) among all the sites, being covered mainly by woodland. Spatial patterns of land cover in each Ramsar site were provided in supplementary Figure S1.
Total wetland area across the Ramsar estate decreased by an estimated 6.6% from 1980 to 2018, while wetland area in the 10 km buffer adjacent to the Ramsar sites declined by 22.5% in the same period. Natural wetlands in the Ramsar sites lost 12.3% of their total area, while natural wetlands in the 10 km buffer adjacent to the Ramsar sites lost 26.1%. Wetland loss primarily occurred in the Ramsar sites of Northeast China (NEC) and CRC. However, human-made wetlands in the Ramsar sites expanded by 246% and in the 10 km buffer adjacent to the Ramsar sites by 31%. The expanded human-made wetlands were mostly identified in Ramsar sites in the CRC (70%). Ramsar sites appear to have played an important role in reducing wetland loss and protecting wetlands.
From 1980 to 2018, wetland areas in 41 of the 57 Ramsar sites (72%) showed changes (Figure 5). Specifically, wetland area in 18 sites (32%) appeared to decline consistently despite these wetlands having been designated as Ramsar sites. Another 6 sites showed an initial wetland increase followed by decrease. In particular, more than 100 km2 was lost from each of 6 sites between 1980 and 2018. The San Jiang National Nature Reserve in Heilongjiang (Site No. 1,152) had a most remarkable net loss of wetland (693 km2), mostly resulting from agricultural cultivation. After the designation of Ramsar site, 21 km2 of wetlands were converted into cropland. In contrast, 7 sites (12%) showed consistent wetland increase, with the largest wetland increase (61 km2) being dominated by marsh and swamp expansion occurring in the Nanweng River National Nature Reserve in Heilongjiang (Site No. 1,976). Another 10 sites had an initial decrease in wetland area followed by increase after being formally designated as Ramsar sites. For example, the decreased wetland area in Xianghai (Site No. 548) designated as a Ramsar site in 1992 has been reversed.
3.2. Direct Anthropogenic Threats and Their Dynamics in the Ramsar Sites
Only 8 Ramsar sites had no sign of anthropogenic land covers in 2018, while wetlands in the other 49 sites (86%) had been subject to various extents by anthropogenic threats over the past four decades (Figure 4(c)). Specifically, 10 sites (17%) had an areal proportion of anthropogenic land cover larger than 30%. Agricultural activities imposed the largest influences on wetlands, which were identified as the most severe in the San Jiang National Nature Reserve in Heilongjiang (Site No. 1,152). In this site, 64% of the whole area (2,232 km2) was covered by cropland in 2018. In addition to agricultural encroachment into wetlands, the largest proportion (13%) of built-up land area dominated by residential land was found for the Shengjin Lake National Nature Reserve in Anhui (Site No. 2,248), and significant industrial footprints occurred in the Liaohe Estuary in Liaoning (Site No. 1,441). Particularly acute anthropogenic threats were observed in sites in the lower and middle reaches of the Yangtze River (YAR) and NEC compared to other geographic regions (Figure 4(d)), with the former having 24.4% of its area subject to anthropogenic threats.
From 1980 to 2018, increases in direct anthropogenic threats occurred in 40 sites, with an initial decrease followed by an increase for 3 sites (supplementary Figure S2). The San Jiang National Nature Reserve in Heilongjiang (Site No. 1,152) had the largest areal increase of anthropogenic land covers (692 km2), with 95% of the increase resulting from cropland expansion. However, the rate of increase of direct anthropogenic threats slowed markedly after its designation as a Ramsar site (Figure 6). The greatest expansion area of built-up land was observed in the Dong Dongting Hu in Hunan (Site No. 551) with an area increase of 98.5 km2, with the increase occurring mostly after its designation as Ramsar site.
Only the Haifeng Wetland site in Guangdong (Site No. 1,727) had a consistent decrease of anthropogenic land covers (Figure 6), while another 5 sites experienced an increase followed by a decrease of direct anthropogenic threats. The Wang Lake site in Hubei (Site No. 2,349) experienced the most striking decrease in direct anthropogenic threats from 25% to 12%, while the Zhanjiang Mangrove National Nature Reserve (Site No. 1,157) in Guangdong had the largest areal decline of anthropogenic land covers (38 km2) after its Ramsar designation. However, built-up lands in all these 6 sites showed consistent expansion during the study period.
3.3. Aquaculture Pond Expansion and Exotic S. alterniflora Invasion in Coastal Ramsar Sites
A striking expansion of aquaculture ponds at the expense of natural wetlands occurred in 8 coastal sites, including 4 sites where aquaculture ponds expanded by more than 100 km2, with expansion continuing beyond the date of Ramsar site designation (Table 2). The most obvious expansion occurred in the Yancheng National Nature Reserve with an areal increase of 752 km2. The Liaohe Estuary experienced a marked expansion (106 km2) between 2010 and 2018 after its Ramsar designation in 2004. A rapid expansion of aquaculture pond in the Zhanjiang Mangrove National Nature Reserve was identified between 1990 and 2000 but slowed after Ramsar designation in 2002.
S. alterniflora invaded several coastal areas (Figure 7). Notable S. alterniflora invasions of areas larger than 10 km2 occurred in 4 Ramsar sites (Table 3). The Yancheng National Nature Reserve in Jiangsu had the most evident invasion of S. alterniflora with the largest and consistent areal increase from 3.2 km2 in 1990 to 111.2 km2 in 2018. The Dafeng National Nature Reserve in Jiangsu (Site No. 1,145) had an increase in S. alterniflora coverage of 49.4 km2 between 1990 and 2000 but a slightly decreasing trend after 2000. The Chongming Dongtan Nature Reserve in Shanghai (Site No. 1,144) had S. alterniflora coverage of 15.3 km2 in 2018 and S. alterniflora expansion of 10.4 km2 during 2000–2010. It is noteworthy that S. alterniflora invasion from 2010 to 2018 also occurred in a northern site, the Yellow River Delta Wetland in Shandong (Site No. 2,187), with an areal increase of 11.9 km2.
In this study, we compared wetland areal changes within and adjacent to Ramsar sites in China through Landsat observations and highlighted diverse anthropogenic threats to wetlands in these sites. China is to host the 15th UN Conference of the Parities to the Convention on Biological Diversity and 14th Meeting of the Conference of the Contracting Parties to the Ramsar Convention on Wetlands in 2021. The findings will be beneficial to understanding the achievements and challenges in conserving China’s wetlands. Considering the striking loss of natural wetlands across the whole country , the Ramsar sites have contributed substantially to protecting natural wetlands and halting the downward trend of wetland area. However, as revealed in our analysis, although wetland conservation has expanded significantly under the Ramsar Convention on Wetlands, anthropogenic impacts, including agricultural reclamation, urbanization, industrialization, and aquaculture and tourism development are pervasive in many Ramsar sites [26–28]. Anthropogenic threats to wetlands are also intensified in several of China’s Ramsar sites (Figures 6 and 7). According to the report of the Second National Wetland Inventory (2009–2013) of China, the major threats to wetlands are pollution, agricultural encroachment, built-up land expansion, overfishing and harvesting, and exotic species invasion (http://www.forestry.gov.cn). Almost all these threat types could be detected in the Chinese Ramsar estate. Although pollution, overfishing, and harvesting were not directly monitored using remote sensing in this study, we can infer that nonpoint source pollution related to agricultural and industrial activities and aquatic product acquisition from aquaculture pond expansion also imposed considerable threats to wetland ecosystems in the Ramsar sites.
In terms of evident wetland loss and diverse anthropogenic threats (Figure 4), protection efficacy for most Ramsar sites in China could be improved. Even after the designation of Ramsar sites, agricultural activities still encroached into large areas of Ramsar wetlands, especially in NEC [18, 29], while infrastructure construction with urbanization and industrialization occurred in areas such as the YAR [30, 31]. Moreover, aquaculture development and invasive S. alterniflora had encroached upon large areas of natural wetlands in coastal Ramsar sites that are known to be important for migratory waterbirds [32, 33]. While the preservation of natural wetlands is of primary importance for migratory waterbirds, enhanced management of existing human-made wetlands including aquaculture ponds and paddy fields can also be beneficial for biodiversity  and could be explored as a priority within Ramsar sites that already include aquaculture.
Wetlands provide important ecosystem services including aquatic food provision, water retention and purification, climate and flood regulation, carbon sequestration, and biodiversity conservation, and healthy wetlands thus contribute towards achieving the SDGs [27, 28]. Besides the dramatic wetland loss, wetland gain occurred in many Ramsar sites due to effective protection and wetland restoration efforts (Figure 5). On the one hand, improved hydrology caused by increased precipitation or melting glaciers can facilitate the formation of new wetlands. On the other hand, wetland restoration from cropland was enhanced especially in the protected areas from the National Wetland Conservation Project . To date, China has established 602 wetland protected areas and 1,699 wetland parks. Of these, 898 parks and more than 100 protected areas were designated at the national level (http://www.forestry.gov.cn). China’s protected areas for wetlands have been and will be increased continuously [9, 35]. Although large areas of wetlands have been protected, the effectiveness of these reserves or parks could be greatly improved through careful management and in particular through stopping expansion of anthropogenic land covers and wetland conversion . Anthropogenic land covers, especially illegal agricultural cultivation, excessive tourism development, and industrial footprints, should be rehabilitated into natural ecosystems as much as possible to reduce the direct disturbance to wetlands [10, 25]. Ecological migration, compensation mechanism, and alternative livelihoods for native peoples in the Ramsar sites or national nature reserves should be enhanced for implementing returning cropland and aquaculture pond to natural wetlands . The utilization of wetland resources, e.g., tourism, should be controlled, even prohibited when necessary, in the core area of Ramsar sites by legislation . Ecological water supplement from reservoirs or rivers to wetlands with obvious degradation, especially the wetlands in arid and semiarid zones, is necessary for maintaining vulnerable ecosystems and biodiversity . More scientific evidence is needed to evaluate methods for the prevention and eradication of exotic S. alterniflora . For example, the Yancheng National Nature Reserve in Jiangsu experienced marked natural wetland loss to agricultural cultivation and S. alterniflora invasion before its Ramsar designation in 2002. However, after its Ramsar designation, the encroachment of cropland and S. alterniflora into tidal flats was well controlled, but the expansion of aquaculture ponds increased (Tables 2 and 3). Therefore, place-based policies and responsive decision-making are required for the sustainable management of China’s Ramsar sites, as well as other protected areas.
We found that boundaries of the Yancheng and Dafeng national nature reserves overlap (Figure 7). Some national nature reserve boundaries have been changed due to the revaluation of wetlands and biodiversity impacted by regional socioeconomic development need [25, 39]. Therefore, managers could reevaluate boundaries of the important reserves and confirm the optimal boundaries using remote sensing and geographic information system technology. At present, a new protection system comprising national parks is being established for protecting China’s natural heritage . Boundaries of wetland protected areas should be carefully placed to represent biodiversity and include all relevant ecological processes [40, 41]. For example, a national park was suggested to be established in the Songnen Plain to combine the 3 Ramsar sites and more than 10 wetland protected areas at different levels. In short, key priorities would appear to be (i) improving the effectiveness of existing protected areas, (ii) expanding protected areas, (iii) upgrading the protection level at some sites, (iv) optimizing the management efforts, and (v) communicating with the public on wetland conservation .
The evaluation of China’s Ramsar wetlands is informative for other wetland protected areas and Ramsar wetlands in other countries by providing methods based on an open data source (Landsat). Consistent data sets with long time series, such as those used in this study, are beneficial to studying ecosystem processes, but accurate observations on diverse anthropogenic threats to wetlands in Ramsar sites and other protected areas are also important to deliver sustainable wetland management. High-resolution images could be more easily acquired from satellite or airborne platforms . Therefore, mapping of land covers with high accuracy using finer-resolution images covering the whole Ramsar sites is necessary. The current system of reporting and monitoring the Ramsar wetland status has room for improvement. Besides land cover, remote sensing could characterize other ecosystem variables such as the fractional vegetation cover, leaf area index, and vegetation productivity to assess ecosystem quality [38, 43]. The assessments from perspectives of ecosystem functions and services also are still necessary for sustainable wetland conservation and management practice [44–46].
In this study, Landsat series images from 1980 to 2018 were used to examine wetland extents, temporal changes, and anthropogenic threats in China’s 57 Ramsar wetland sites. This study presents the first systematic assessment of the effectiveness of conserving Ramsar sites in China on a national scale and provides a framework to inform sustainable wetland management and policy improvement in other countries or even for global wetlands. Our results reveal that although Ramsar designation played important roles in halting wetland loss, natural wetland loss caused by anthropogenic encroachment remain striking in many Ramsar sites. Agricultural activities are the dominated anthropogenic threats to Ramsar wetlands in China, while built-up land expansion, coastal aquaculture development, and exotic species invasion are key threats in most coastal Ramsar wetlands. Protective efficacy for most of Ramsar wetlands in China thus requires improvements given the evident wetland loss and diverse anthropogenic threats detected in the Ramsar sites, despite these wetlands having been designated for their international importance. These observations suggest that China needs to continue its efforts to control the loss and degradation of wetland ecosystems to achieve sustainable development and ecological civilization.
The multitemporal land cover data sets of Ramsar sites in China generated in this paper are available at https://10.5281/zenodo.4699319.
Conflicts of Interest
The authors declare that there is no conflict of interest regarding the publication of this article.
D.M. and Z.W. designed the research; D.M. analyzed the data and wrote the original manuscript; Y.W., C.C., M.J., and R.F. provided important comments and revised the manuscript; and D.M. and M.J. performed the image classification.
We are very grateful to the facility that made the Landsat images accessible through the USGS (https://earthexplorer.usgs.gov/). We thank Prof. Weihua Xu for the important suggestions on our original manuscript. This study was jointly supported by the National Key R&D Program of China (grant numbers 2016YFC0500201 and 2016YFA0602301), the National Natural Science Foundation of China (grant numbers 41771383 and 41730643), the Science and Technology Development Program of Jilin Province (grant number 20200301014RQ), and the funding from the Youth Innovation Promotion Association of Chinese Academy of Sciences (grant numbers 2017277 and 2012178) and the National Earth System Science Data Center (http://www.geodata.cn).
Table S1: detailed information for Ramsar sites in China. Figure S1: spatial pattern of land covers in 2018 over the Ramsar sites (three Ramsar sites in shallow marine water were not shown here). Figure S2: various changes in direct anthropogenic threat from 1980 to 2018 over different Ramsar sites (time points are 1980, 1990, 2000, 2010, and 2018); red color line denotes consistent increase trend, blue color line denotes an initial decrease followed by an increase, and green color line denotes an initial increase followed by a decrease. (Supplementary Materials)
- N. C. Davidson and C. M. Finlayson, “Extent, regional distribution and changes in area of different classes of wetland,” Marine and Freshwater Research, vol. 69, no. 10, article 1525, 2018.
- Millennium Ecosystem Assessment (MEA), Ecosystems and Human Well-Being: Wetlands and Water Synthesis, World Resources Institute, Washington, DC, 2005.
- Ramsar Convention on Wetlands (RCW), Global Wetland Outlook: State of the World’s Wetlands and Their Services to People, Ramsar Convention Secretariat, Gland, Switzerland, 2018.
- F. Jaramillo, A. Desormeaux, J. Hedlund et al., “Priorities and interactions of sustainable development goals (SDGs) with focus on wetlands,” Water, vol. 11, no. 3, p. 619, 2019.
- W. Xu, S. L. Pimm, A. Du et al., “Transforming protected area management in China,” Trends in Ecology & Evolution, vol. 34, no. 9, pp. 762–766, 2019.
- C. Prigent, E. Matthews, F. Aires, and W. B. Rossow, “Remote sensing of global wetland dynamics with multiple satellite data sets,” Geophysical Research Letters, vol. 28, no. 24, pp. 4631–4634, 2001.
- D. Mao, Z. Wang, B. Du et al., “National wetland mapping in China: a new product resulting from object-based and hierarchical classification of Landsat 8 OLI images,” ISPRS Journal of Photogrammetry and Remote Sensing, vol. 164, pp. 11–25, 2020.
- Z. Niu, H. Zhang, and P. Gong, “More protection for China's wetlands,” Nature, vol. 471, no. 7338, p. 305, 2011.
- Z. Wang, J. Wu, M. Madden, and D. Mao, “China’s wetlands: conservation plans and policy impacts,” Ambio, vol. 41, no. 7, pp. 782–786, 2012.
- D. Mao, Z. Wang, J. Wu et al., “China’s wetlands loss to urban expansion,” Land Degradation & Development, vol. 29, no. 8, pp. 2644–2657, 2018.
- P. Gong, Z. Niu, X. Cheng et al., “China’s wetland change (1990-2000) determined by remote sensing,” Science China: Earth Science, vol. 53, no. 7, pp. 1036–1042, 2010.
- Z. Niu, H. Zhang, X. Wang et al., “Mapping wetland changes in China between 1978 and 2008,” Chinese Science Bulletin, vol. 57, no. 22, pp. 2813–2823, 2012.
- D. Mao, L. Luo, Z. Wang et al., “Conversions between natural wetlands and farmland in China: a multiscale geospatial analysis,” Science of the Total Environment, vol. 634, pp. 550–560, 2018.
- E. Maltby, “Wetland management goals: wise use and conservation,” Landscape and Urban Planning, vol. 20, no. 1-3, pp. 9–18, 1991.
- E. Fitoka, M. Tompoulidou, L. Hatziiordanou et al., “Water-related ecosystems' mapping and assessment based on remote sensing techniques and geospatial analysis: the SWOS national service case of the Greek Ramsar sites and their catchments,” Remote Sensing of Environment, vol. 245, article 111795, 2020.
- K. C. Seto and M. Fragkias, “Mangrove conversion and aquaculture development in Vietnam: a remote sensing- based approach for evaluating the Ramsar Convention on Wetlands,” Global Environmental Change, vol. 17, no. 3-4, pp. 486–500, 2007.
- Y. Zheng, H. Zhang, Z. Niu, and P. Gong, “Protection efficacy of national wetland reserves in China,” Chinese Science Bulletin, vol. 57, no. 10, pp. 1116–1134, 2012.
- D. Mao, X. He, Z. Wang et al., “Diverse policies leading to contrasting impacts on land cover and ecosystem services in Northeast China,” Journal of Cleaner Production, vol. 240, article 117961, 2019.
- M. Jia, Z. Wang, Y. Zhang, D. Mao, and C. Wang, “Monitoring loss and recovery of mangrove forests during 42 years: the achievements of mangrove conservation in China,” International Journal of Applied Earth Observation and Geoinformation, vol. 73, pp. 535–545, 2018.
- R. Ma, H. Duan, C. Hu et al., “A half-century of changes in China's lakes: global warming or human influence?” Geophysical Research Letters, vol. 37, no. 24, pp. 283–289, 2010.
- K. Song, Y. Shang, Z. Wen et al., “Characterization of CDOM in saline and freshwater lakes across China using spectroscopic analysis,” Water Research, vol. 150, pp. 403–417, 2019.
- C. Ren, Z. Wang, Y. Zhang et al., “Rapid expansion of coastal aquaculture ponds in China from Landsat observations during 1984-2016,” International Journal of Applied Earth Observation and Geoinformation, vol. 82, article 101902, 2019.
- M. Liu, D. Mao, Z. Wang et al., “Rapid invasion of Spartina alterniflora in the coastal zone of mainland China: new observations from Landsat OLI images,” Remote Sensing, vol. 10, no. 12, article 1933, 2018.
- D. Mao, M. Liu, Z. Wang et al., “Rapid invasion of Spartina alterniflora in the coastal zone of mainland China: spatiotemporal patterns and human prevention,” Sensors, vol. 19, no. 10, article 2308, 2019.
- W. Xu, X. Li, S. L. Pimm et al., “The effectiveness of the zoning of China's protected areas,” Biological Conservation, vol. 204, pp. 231–236, 2016.
- C. M. Finlayson, “Forty years of wetland conservation and wise use,” Aquatic Conservation: Marine and Freshwater Ecosystems, vol. 22, no. 2, pp. 139–143, 2012.
- M. Hettiarachchi, T. H. Morrison, and C. McAlpine, “Forty-three years of Ramsar and urban wetlands,” Global Environmental Change, vol. 32, pp. 57–66, 2015.
- M. Jayanthi, S. Thirumurthy, M. Muralidhar, and P. Ravichandran, “Impact of shrimp aquaculture development on important ecosystems in India,” Global Environmental Change, vol. 52, pp. 10–21, 2018.
- C. Lu, Z. Wang, L. Li et al., “Assessing the conservation effectiveness of wetland protected areas in Northeast China,” Wetlands Ecology and Management, vol. 24, no. 4, pp. 381–398, 2016.
- Y. Chen, J. Dong, X. Xiao et al., “Effects of reclamation and natural changes on coastal wetlands bordering China’s Yellow Sea from 1984 to 2015,” Land Degradation & Development, vol. 30, no. 13, pp. 1533–1544, 2019.
- Y. Li, Y. Shi, X. Zhu, H. Cao, and T. Yu, “Coastal wetland loss and environmental change due to rapid urban expansion in Lianyungang, Jiangsu, China,” Regional Environmental Change, vol. 14, no. 3, pp. 1175–1188, 2014.
- X. Gan, Y. Cai, Z. Choi, Z. Ma, J. Chen, and B. Li, “Potential impacts of invasive Spartina alterniflora on spring bird communities at Chongming Dongtan, a Chinese wetland of international importance,” Estuarine Coastal and Shelf Science, vol. 83, no. 2, pp. 211–218, 2009.
- C. E. Studds, B. E. Kendall, N. J. Murray et al., “Rapid population decline in migratory shorebirds relying on Yellow Sea tidal mudflats as stopover sites,” Nature Communications, vol. 8, no. 1, article 14895, 2017.
- M. V. Jackson, L. R. Carrasco, C. Y. Choi et al., “Multiple habitat use by declining migratory birds necessitates joined-up conservation,” Ecology & Evolution, vol. 9, no. 5, pp. 2505–2515, 2019.
- Z. Ma, Y. Chen, D. S. Melville et al., “Changes in area and number of nature reserves in China,” Conservation Biology, vol. 33, no. 5, pp. 1066–1075, 2019.
- H. Xiang, Z. Wang, D. Mao et al., “What did China's national wetland conservation program achieve? Observations of changes in land cover and ecosystem services in the Sanjiang Plain,” Journal of Environmental Management, vol. 267, article 110623, 2020.
- Y. Dai, L. Feng, X. Hou et al., “Policy-driven changes in enclosure fisheries of large lakes in the Yangtze Plain: evidence from satellite imagery,” Science of the Total Environment, vol. 688, pp. 1286–1297, 2019.
- D. Mao, Z. Wang, B. Wu, Y. Zeng, L. Luo, and B. Zhang, “Land degradation and restoration in the arid and semiarid zones of China: quantified evidence and implications from satellites,” Land Degradation & Development, vol. 29, no. 11, pp. 3841–3851, 2018.
- R. Wu, S. Zhang, D. Yu et al., “Effectiveness of China’s nature reserves in representing ecological diversity,” Frontiers in Ecology and the Environment, vol. 9, no. 7, pp. 383–389, 2011.
- C. Y. Choi, H. Peng, P. He et al., “Where to draw the line? Using movement data to inform protected area design and conserve mobile species,” Biological Conservation, vol. 234, pp. 64–71, 2019.
- R. A. Fuller, E. McDonald-Madden, K. A. Wilson et al., “Replacing underperforming protected areas achieves better conservation outcomes,” Nature, vol. 466, no. 7304, pp. 365–367, 2010.
- M. Jia, Z. Wang, C. Wang, D. Mao, and Y. Zhang, “A new vegetation index to detect periodically submerged mangrove forest using single-tide sentinel-2 imagery,” Remote Sensing, vol. 11, no. 17, article 2043, 2019.
- H. Nagendra, R. Lucas, J. P. Honrado et al., “Remote sensing for conservation monitoring: assessing protected areas, habitat extent, habitat condition, species diversity, and threats,” Ecological Indicators, vol. 33, pp. 45–59, 2013.
- R. J. McInnes, M. Simpson, B. Lopez, R. Hawkins, and R. Shore, “Wetland ecosystem services and the Ramsar Convention: an assessment of needs,” Wetlands, vol. 37, no. 1, pp. 123–134, 2017.
- L. F. Ricaurte, M. H. Olaya-Rodríguez, J. Cepeda-Valencia et al., “Future impacts of drivers of change on wetland ecosystem services in Colombia,” Global Environmental Change, vol. 44, pp. 158–169, 2017.
- W. Xu, Y. Xiao, J. Zhang et al., “Strengthening protected areas for biodiversity and ecosystem services in China,” Proceedings of the National Academy of Sciences, vol. 114, no. 7, pp. 1601–1606, 2017.
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