Skip to main content

SYSTEMATIC REVIEW article

Front. Mar. Sci., 26 September 2023
Sec. Ocean Solutions
Volume 10 - 2023 | https://doi.org/10.3389/fmars.2023.1201811

Research on integrated coastal zone management from past to the future: a bibliometric analysis

Lu Jiang1 Tang Yang2 Xuyi Wang2 Jing Yu1,3* Jia Liu3,4 Kuncheng Zhang3,5
  • 1College of Oceanic and Atmospheric Sciences, Ocean University of China, Qingdao, China
  • 2School of Environmental and Municipal Engineering, Qingdao University of Technology, Qingdao, China
  • 3Institute of Marine Development of Ocean University of China, Qingdao, China
  • 4School of Management, Ocean University of China, Qingdao, China
  • 5School of Marxism, Ocean University of China, Qingdao, China

Integrated coastal zone management (ICZM) has been regarded as an effective tool for achieving sustainable development of coastal ecosystems and reducing potential human health risks, but questions remain regarding its research status and future directions. Therefore, a bibliometric analysis was conducted using screened 6151 publications collected from Web of Science Core Collection databases. An exponential increase trend of publications revealed the continuous and strong research interests for ICZM worldwide. The most high-yield country, institution, category, and journal were USA, NOAA, Environmental Sciences, and Ocean & Coastal Management, respectively. Regarding the number of publications, academic influence, and international collaboration, the developed countries occupied the predominant positions. Co-word analysis reveals eight important topics: challenge, service, management and planning, method and technology, development, process, area, and system. Relevant future directions of the ICZM field were proposed based on the Sustainable Development Goals of the United Nations. This review addresses the question of what focal topics in the ICZM field and what should be focused on in future works by objective and quantitative methods. Our results provide valuable insights into the evolution of the ICZM field and the sustainable development of the coastal areas.

1 Introduction

The coastal zone has been thought to play a crucial role in delivering ecosystem services and sustaining livelihoods (Costanza et al., 1997; Islam et al., 2014; Neumann et al., 2015; Fuentes et al., 2018). Humans depend on coastal ecosystems for a wide range of basic services, such as carbon sequestration, food supply, and leisure entertainment (Barbier et al., 2011). Meanwhile, coastal fisheries and aquaculture support the livelihoods of a number of community residents (Slater et al., 2013; Andrews et al., 2021). However, anthropological activities and climate change exert dual pressures on the sustainable development of the coastal zone, and that led to the degradation of ecological quality and the increase of potential human health risks (Storelli, 2008; Judd et al., 2015; Borja et al., 2020; Caviedes et al., 2020; O’Mahony et al., 2020). The urgent need for an integrated and strategic approach to improving environmental quality and human well-being of coastal areas facilitated the generation of integrated coastal zone management (ICZM) (Ballinger et al., 2010). ICZM is a continuous decision-making process for the sustainable use, development, and conservation of coastal environments and their resources (Tiller et al., 2012). ICZM has been widely recognized as an essential paradigm for the sustainable coastal zone and the most appropriate process for dealing with long-term challenges (Koutrakis et al., 2011), such as sea level rise, coastal erosion, land use change, and environmental pollution (Deboudt et al., 2008; Pinto and Martins, 2013; Gari et al., 2014; Allenbach et al., 2015; Albotoush and Shau-Hwai, 2019; Khelil et al., 2019; Papatheochari and Coccossis, 2019). To date, ICZM has been implemented in a large number of coastal countries, such as China, the USA, Australia, and Spain, and certain achievements have been made (Chen et al., 2009; Wheeler and Peterson, 2010; Bell et al., 2013; Botero et al., 2013). For instance, Spain has gained achievements in the stakeholder engagement of ICZM (Bell et al., 2013), and regional economic development in China was improved through ICZM implementation (Qing et al., 2022). A systematic understanding of ICZM is imperative for reasonable protection and orderly utilization of coastal zones, but questions remain regarding what are focal topics in the ICZM field and what should be focused on in future works from an objective perspective.

Bibliometric analysis, first introduced by Pritchard (1969), is an effective tool for assessing current status or gaps by capturing the characteristics of documents (Karimi and Khalilpour, 2015). The primary goal of bibliometrics is to quantify the external characteristics of the literature and references (Chiu and Ho, 2005; Zhou et al., 2007). Generally speaking, there are two types of bibliometrics. One type is based on activity level and offers information on the impact of research, including categories and nations with high productivity rates. The other type uses network analysis to follow connections and interconnections between various nations and keywords (de Battisti and Salini, 2013). The advantage of bibliometric analysis is that it objectively reflects the characteristics of the literature through quantitative methods. Bibliometrics is usually combined with social network analysis (SNA) and content analysis to explore the scientific collaboration patterns and research hotspots (Gallardo-Gallardo et al., 2015; Huang et al., 2019) and have been widely used in the field of environmental science, ecology, and management (Feng et al., 2017; Zhang et al., 2017; Webber and Vander Wal, 2019). With the help of these quantity methods, research on certain topics or fields from the past to the future could be clearly summarized (Mao et al., 2018). Moreover, the bibliometrics, combined with SNA and content analysis, could be potentially extended to the ICZM topic.

In this study, 6151 publications on ICZM from Web of Science Core Collection databases (WoSCC) were evaluated quantitatively using bibliometrics, SNA, and content analysis. Specifically, the review of ICZM was conducted from the perspectives of spatio-temporal distribution of publications, high-productive characteristics, international collaboration patterns, hotspots, and future directions. This research provides a comprehensive understanding of ICZM-related research by objective and quantity methods, and clear knowledge gaps in further research should be focused under the UN-SDGs framework. The findings of this paper provide directions and advice for researchers, stakeholders, and policymakers.

2 Data sources and methods

2.1 Data sources

Raw data used in this study was obtained from WoSCC on July 10th, 2021, with the keywords = integrated AND (coast* OR coastal zone*) AND (manage* OR govern*). Various items, including author information, journals and categories, and keywords, were extracted to clarify the external literature characteristics and potential future directions in the field of ICZM. A total of 6247 publications met the selection criteria. Thereafter, 6151 papers with the type of articles, reviews, and proceedings papers were screened for bibliometric analysis by artificial interpretation. In terms of geographic distribution, publications from England, Northern Ireland, Scotland, and Wales were contained in the UK heading. Papers from Hong Kong, Macao, and Taiwan were included under the China heading. The research framework of this study is shown in Figure 1.

FIGURE 1
www.frontiersin.org

Figure 1 Research framework of this study.

2.2 Methods

After searching and selecting for publications, bibliometric analysis based on the 6151 documents was conducted from the perspectives of descriptive analysis, international collaboration patterns, and keyword analysis. Some software, including BibExcel (version 2014-03-25), Gephi (version 0.9.2), R (version 4.2.2), Microsoft Excel (version 16.65), and Origin (version 2021), was employed in data processing and visualization. BibExcel was used to extract basic information and analyze the spatio-temporal distribution of publications, journals, categories, and keywords (Rashidi et al., 2020). Gephi was utilized to form social network maps for visualizing the countries’ relationships and keywords (Bastian et al., 2009). Gephi was also applied in the community detection of international cooperation patterns based on degree. Degree is an important indicator to measure the importance of a node in the social network, which can be explained as the number of the links connected with the node. The larger the degree value, the higher the importance of the node in the network (Gonzalez et al., 2021). R was applied to depict the connection intensity between countries worldwide (R Core Team, 2022). Data processing and analysis were carried out in Microsoft Excel, and relevant graphics were created by Origin software. Co-word analysis is a technology that counts and analyses the co-occurrence relationship of keywords in publications on a given subject (Ding et al., 2001). SNA is a broad quantity strategy for investigating the network structure, which consists of individuals and ties (Otte and Rousseau, 2002). Co-word analysis in SNA combined with content analysis revealing the cooperative relationships among different entities and the intensity of their cooperation (Chen and Chang, 2015; Zhang et al., 2017) were conducted using BibExcel (version 2014-03-25) and Gephi (version 0.9.2). The occurrence frequency of keywords of selected papers was indicated by the size of the node, and the co-occurrence frequency of keywords was indicated by the thickness of the connection. SNA indicates importance with the thickness of the lines and the size of a node. The nodes indicate the frequency number, and the lines between the nodes indicate relationships. The stronger the relationship, the thicker the line is. The content analysis could quantitatively summarize the contents of the literature (Coulter et al., 1998), which was applied to indicate the research trend on ICZM in this study. Co-word analysis was conducted to identify focal themes in this paper. Future directions on ICZM were implicated using the United Nations Sustainable Development Goals (UN-SDGs) framework (Orhan and Guajardo, 2021). To measure the academic influence of journals and authorship, the two most used indicators, impact factor (IF) and h-index, were selected in this paper (Hirsch, 2005; Du et al., 2015; Mao et al., 2015).

3 Results and discussion

3.1 Descriptive analysis of ICZM

3.1.1 Publication type and quantity analysis

In terms of literature categories, raw 6247 publications can be categorized into 13 document types. As illustrated in Figure 2A, “Article” was the most prevalent type, accounting for 74% of the total publications, followed by “Proceedings Paper” (19%), “Review” (4.9%), and others (e.g., “Editorial Material” and “Book Chapter”). Here, “Article,” “Proceedings Paper,” and “Review” included a total of 6151 papers (98.46% of the raw publications) and could greatly reflect the development trends and evolution in ICZM research. Therefore, these three types of papers were focused in the following analysis and evaluation.

FIGURE 2
www.frontiersin.org

Figure 2 Published pattern of the ICZM field. (A) Publication type percentage for ICZM research. (B) Distribution of publication quantity for ICZM per year.

An increasingly exponential trend existed for ICZM-related publications (Figure 2B). Based on a polynomial model, the number of articles has increased significantly along the year-by-year gradient (R2>0.97, P<0.05), revealing that the topic has gained widespread attention in the recent several years. On the basis of the number of publications and key events (e.g., the establishment of Partnerships in Environmental Management for the Seas of East Asia), the evolution of papers in the ICZM field was divided into four stages and included the embryonic period (1990-1998), the preliminary development period (1999-2007), the stable development period (2008-2016), and the rapid development period (2017-2021). Before 1998, ICZM-related research was in its infancy, and no more than 50 papers were published per year during this period. A slight increase was observed between 1999 and 2007. Subsequently, ICZM-related studies gradually increased from 2008 to 2016, and the wide attention gained in the ICZM field mainly because the challenges in coastal areas increasingly diversified (Sonak et al., 2008; Hansen and Fuglsang, 2014). After 2016, ICZM-related research showed an explosive growth trend, mainly due to the gradually increasing attention to anthropogenic pressures and climate change in the coastal zone (Bruno et al., 2020; Cantasano et al., 2021).

3.1.2 National and institutional contribution analysis

Scientific researches from different countries in the field of ICZM were analyzed based on the extracted information from the addresses of authors. As shown in Figure 3A, an obvious imbalance in geographical distribution was found in terms of the number of published articles, which might be caused by the discrepancy in research and development expenditure (Callaghan, 2021). In addition, most countries involved in the ICZM research field were coastal countries, which may reflect the urgent need for ICZM in coastal countries (Shipman and Stojanovic, 2007).

FIGURE 3
www.frontiersin.org

Figure 3 Geographical distribution of publications on ICZM. (A) Global distribution of publications on ICZM. The color of different countries presents the number of publications. The closer the color is to red, the more papers have been published. (B) The basic information of the top 20 most productive countries.

Figure 3B and Table S1 show the basic information of the top 20 most active countries. The most productive country was the USA, with the publication number of 1523 and a proportion of 24.76%, followed by the UK (684, 11.12%) and Australia (601, 9.77%). Meanwhile, the same trend of h-index was also found for these three countries. As a developing country, China ranked fourth in the number of publications (505) and tenth in the h-index (40). An apparent increase in publications over time by China (Figure S1) may be due to the increasing budget of the National Foundation of China since 2000 (Yang, 2016a; Yang, 2016b). Other developing countries, such as Brazil and India, also perform well in paper publishment. Generally, developed countries were found to be characterized by more publication papers and higher h-index (Figure S2). These results indicated that developed and developing countries have different contributions to the ICZM field, and developed countries have dominated the mainstreams in this field with great global influence.

The contributions of various institutions to the ICZM field are summarized in Figure 4 and Table S2. The National Oceanic and Atmospheric Administration (NOAA) was characterized by the most publications of 161 and the highest h-index of 35. The Chinese Academy of Sciences (Chinese Acad Sci) ranked second in terms of the publication number (101) and ranked sixth in terms of h-index (23). National financial support may be an important driver for the excellent scientific outputs of NOAA and Chinese Acad Sci (Suttmeier et al., 2006; Gall et al., 2013). Among the top 20 most productive institutions, twelve belong to the USA and Australia, which indicated that the USA and Australia have formed strong institutional groups in the field of ICZM. Compared to the data about country contributions to the ICZM field (Figure 3B), the UK, Canada, Spain, and the Netherlands were among the 20 most productive countries but were not home to any of the top 20 most productive institutions (Table S2). This phenomenon may suggest that the scientific capabilities are not only impacted by research institutions but also depend on other factors, such as funding agencies and big names (Leberman et al., 2016; Zhang et al., 2017).

FIGURE 4
www.frontiersin.org

Figure 4 Basic information of the top 20 most productive institutions on ICZM.

3.1.3 Category and journal analysis

There were 152 categories included in the ICZM field, and the top 10 most productive categories are shown in Table S3. Environmental Sciences ranked first with 2294 publications and accounted for 37.29% of the total documents, followed by Water Resource (1478, 24.03%), Oceanography (1225, 19.92%), Marine & Freshwater Biology (893,14.52%), and Geosciences & Multidisciplinary (761,12.37%). There existed 73.66% of the total publications belonging to at least two categories, revealing a clear cross-fertilization trend in the disciplines of ICZM-related research (Table S4), which was consistent with some studies focusing on the multidisciplinary knowledge in ICZM practice (Carlberg, 2005; Balaguer et al., 2008; Garcia-Ayllon, 2018). According to the publications distributed in different journals, Ocean & Coastal Management was the most productive journal with the publication of 622 and a proportion of 10.11%, followed by Journal of Coastal Research (230, 3.74%) and Marine Policy (182, 2.96%) (Table S5). On the basis of the IF for various journals, Science of the Total Environment has the highest IF of 10.754, followed by the Journal of Environmental Management (8.91) and Marine Pollution Bulletin (7.001). As an essential carrier of scientific research output, journals play an important role in disseminating of academic achievements (Ronda-Pupo and Guerras-Martin, 2010). The willingness of more influential journals to publish in the ICZM field should be greatly increased in the future.

3.2 International collaboration patterns

International collaboration has been widely regarded as an important factor influencing research outputs (Orwat et al., 2015; Zanotto et al., 2017). In this study, international collaboration among the various countries with at least five papers in the ICZM field was analyzed by SNA and visualized in Figure 5. A stable quadrilateral collaboration relationship has been formed among the USA, China, European countries, and Australia (Figure 5A). To clarify the crucial countries in the international collaboration network on ICZM, a cooperative network map based on degree was drawn by Gephi software (Figure 5B). The USA ranked first with a degree of 83 (Table S6), which dominated the center and leader of the network and was closely linked to China and European countries such as the UK, France, and Australia (Figure 5B). This is relatively consistent with the entire Nature Index (Nature, 2022). And India and China had relatively lower degree values of 36 and 31, respectively. According to the distribution of the degree (Figure S3), international collaboration on ICZM is asymmetrical, and the collaboration network remains structured around a few dominated countries, similar to most international scientific collaboration patterns (Chinchilla-Rodriguez et al., 2019). In sum, a broader pattern of international cooperation in the ICZM field should be established in the future.

FIGURE 5
www.frontiersin.org

Figure 5 Scientific collaboration in the field of ICZM worldwide. (A) The academic collaboration network visualized by R software. The width of the line presents the intensity of cooperation between countries. (B) The academic network map drawn by Gephi software based on degree. Each node represents a country. The size of nodes depend on the degree of countries. The higher the value of degree, the larger the node.

A community detection analysis of countries, based on a community modularity algorithm in SNA using Gephi software (Blondel et al., 2008), was shown in Figure 6. Four communities were identified. Community 1, community 2, community 3, and community 4 covered 41.84%, 26.53%, 23.47%, and 8.16% of the number of countries, respectively. Community 1 included various countries from continents, including America, Oceania, Asia, and Europe. Some Mediterranean countries, including Tunisia, Malta, and Cyprus, were involved in community 2. European countries, such as the UK, Poland, and Denmark, are divided into community 3. African countries, including South Africa, Kenya and, Tanzania, belonged to community 4. Countries in close geographical proximity were divided into the same community, such as community 2, community 3, and community 4, revealing the importance of geographical distance in promoting academic collaboration (Acosta et al., 2011). Meanwhile, International collaboration may be affected by economic and cultural factors (Hou et al., 2021).

FIGURE 6
www.frontiersin.org

Figure 6 Community detection analysis by Gephi software at the country level.

3.3 Co-word analysis

Based on SNA and content analysis, co-word analysis across the whole period is illustrated in Figure 7. According to the specialized knowledge, eight groups were classified, namely ‘challenge,’ ‘management and planning,’ ‘system,’ ‘method and technology,’ ‘process,’ ‘service,’ ‘development,’ and ‘area.’ Co-word analysis also can perform well in displaying the time attribute of keywords (Mao et al., 2015). Therefore, this paper divided the keywords into the four stages mentioned earlier, aiming to clarify the dynamic changing process of themes in the field of ICZM (Figures S4-S7).

FIGURE 7
www.frontiersin.org

Figure 7 SNA of keywords on ICZM across the whole period.

3.3.1 Challenges

As illustrated in Figure 7, it could be found that ‘Challenges’ was the most frequently concerned group with the largest number of keywords. There was an increasingly diversified trend of challenges in the coastal areas (Figures S2-S5). Climate change has become the most striking challenge in the background of the ‘Paris Climate Agreement’ and ‘Kyoto Protocol’ to confront the impact and economic loss caused by the climate problem (Santilli et al., 2005; Rogelj et al., 2016). Meanwhile, some secondary disasters of climate change, including flood risk, coastal erosion, and sea level rise, have also been an incremental concern to policymakers and the public (Satta et al., 2016; Warnken and Mosadeghi, 2018). The adaptation and prevention of climate change in the future have drawn significant attention from academia and governments worldwide (Milinski et al., 2008; Helm et al., 2018). Water quality is another ongoing and wide-concerned challenge (Figure 7) as the consequence of excessive exploitation activities, including fishery and aquaculture (Yu et al., 2020). Notably, eutrophication, which is a phenomenon caused by the nutrient enrichment of coastal water, could lead to a series of adverse ecological effects on coastal phytoplankton production and contaminant cycling (Gunnarsson et al., 2000; Lee et al., 2019; Maure et al., 2021). Other challenges on land use change (Mendoza-Gonzalez et al., 2012), fishery (Islam et al., 2014), and biodiversity (Bulleri et al., 2018) were also included in the group ‘challenge.’ A set of strategies on these challenges based on ICZM were put forward, including defining the management boundary, the monitoring system, and the risk assessment model of anthropical activities (Chen et al., 2009). The past knowledge indicated that ICZM has been revealed to be a widely accepted approach to meet these challenges (Clark, 1997; Portman et al., 2012; de Andres et al., 2023).

3.3.2 Social-ecological system

The social-ecological system has been regarded as the ecosystem inextricably linked to human systems (Martín-López et al., 2017; Dada et al., 2021). As the three typical social-ecological systems identified in this study, estuary, mangrove, and coral reef have been found to confront the dilemma of loss and degradation worldwide (Cinner et al., 2012; Sousa and Alves, 2020; Scemama et al., 2022). For example, 20%-35% of global mangrove extent has lost over the last fifty years (Polidoro et al., 2010), and global coverage of coral reefs has declined by half since the 1950s (Eddy et al., 2021). Concerning the management of social-ecological systems, there still exist some challenges in light of climate-related disasters and human activities, including urban sprawl and industrialization (Wang et al., 2012; Hodgson et al., 2019). The trends and stresses faced by social-ecological systems unfolded the necessity of ICZM (Roy et al., 2018), and managing social-ecological systems should be considered a crucial section for ICZM.

3.3.3 Service

The ecosystem service was the only topic included in the group ‘service’ (Figure 7), which was regarded as the ability of ecosystems to provide services to human society (Costanza et al., 1997). In recent years, ecosystem service mapping has become an increasingly useful tool for providing information to management practice (Malinga et al., 2015). Meanwhile, ecosystem service value was applied in identifying good ICZM projects and establishing the welfare benefits of ICZM (Williams et al., 2006; Ghermandi, 2015). The emergence and development of ecosystem service in ICZM-related studies implied that the relationship between coastal ecosystems and human well-being has been emphatically considered in ICZM (Granek et al., 2010; Schernewski et al., 2018; Hietala et al., 2021). To coordinate the relationship between human welfare and natural resources in the coastal zone, it is necessary to incorporate ecosystem service into the decision-making process of ICZM (Schernewski et al., 2018; Hietala et al., 2021).

3.3.4 Method and technology

The keywords ‘remote sensing,’ ‘geographical information system,’ ‘model,’ and ‘indicator’ were revealed to be involved in the group ‘Method and technology’ (Figure 7). Some methods and technologies played vital roles in providing basic information to make decisions. For instance, remote sensing (RS) and geographical information systems (GIS) have been widely applied to monitor coastal environment change, such as ocean color (Kratzer et al., 2013) and shoreline (Maras et al., 2016). To improve the ability to acquire high-resolution data and high-precision classification, RS and GIS have been evolved in combination with some emerging technologies and methods, such as intelligent remote sensing satellite system (Zhang et al., 2022), random forest (Belgiu and Dragut, 2016) and support vector machine (Pradhan, 2013). Meanwhile, some models and indicators, such as the driving-pressure-state-impact-response model (Bruno et al., 2020) and the deterministic hydrodynamic model (Kankara et al., 2007), were involved in informing the design (Arkema et al., 2014), decision-making of ICZM (Chang et al., 2008; Lozoya et al., 2011; Gvilava et al., 2015), and progress-tracking of ICZM (Pickaver et al., 2004).

3.3.5 Other topics

Other hot topics, including management and planning, process, area, and development, were also discovered to be involved in the field of ICZM (Figure 7). To address the diversified challenges in coastal areas, ICZM has integrated some management and planning approaches, including marine spatial planning and ecosystem-based management, to reach sustainability and resilience objectives (Granek et al., 2010; Dominguez-Tejo et al., 2016). With respect to the process, there is a growing realization that monitoring, risk assessment, and stakeholder participation are crucial sectors and have crucial roles to play in the delivery and development of policies and practices of ICZM (Jones-Walters and Cil, 2011; Kratzer et al., 2013; Bruno et al., 2020), and stakeholder participation is the core to successful ICZM (Areizaga et al., 2012; Thompson-Saud and Wenger, 2022). There existed regional discrepancies for the ICZM implementation (Figure 7). China is intensely concerned about this field, as revealed by the highest frequency in the co-word network. As one of the earliest countries to implement ICZM, China has achieved remarkable results in some cities, such as Xiamen (Qing et al., 2022). In addition, globally, sustainable development is the long-term goal of ICZM (Uehara et al., 2016). To achieve this ambitious goal, ICZM has been chosen as an effective tool in the context of the UN-SDGs framework, which was a series of sustainable development targets set by the United Nations (Kandrot et al., 2021).

3.4 Future research directions

The United Nations (UN) Sustainable Development Summit adopted 17 Sustainable Development Goals (SDGs) in September 2015, aiming to plan a sustainable path worldwide through an integrated approach that addresses the three dimensions of social, economic, and environmental development (Matlin et al., 2015). A sound ICZM must meet the principles of sustainable development (Barker, 2006). Therefore, some future directions were proposed based on the UN-SDGs framework. The role of ICZM in achieving the UN-SDGs for the coastal regions has been recognized (Kandrot et al., 2021). Moreover, ICZM should continue to be guided by the achievement of the UN-SDGs in the future. Based on the characteristics of the coastal zone, UN-SDGs related to ICZM, consisting of SDG 6, SDG11, SDG13, and SDG14, were screened (Figure 8).

FIGURE 8
www.frontiersin.org

Figure 8 Thematic distribution in the field of ICZM based on UN-SDGs framework.

Clean water and sanitation is the theme of SDG6 (Figure 8) and is also one of the most essential pursuits of ICZM (Thompson-Saud and Wenger, 2022). Water quality was a severe problem in the coastal zone in the past, identified by the studies on ICZM (Figure 8). Although ICZM has been regarded as the effective approach to coastal water management, more efforts should be made to strengthen water quality monitoring (Kim et al., 2014), controlling land-sourced pollutant emissions (Thompson-Saud and Wenger, 2022), and developing water management framework (Pavlidou et al., 2015) in ICZM.

The topic of SDG 11 is sustainable cities and communities (Figure 8). The coastal zone is home to about 60% of the population and two-thirds of medium-sized cities (Yuan et al., 2017). However, the sustainable development of coastal cities has been threatened by disasters, such as flooding, coastal erosion, and sea level rise (Allenbach et al., 2015; Neumann et al., 2015; Cantasano et al., 2021), which were also the research focuses in the field of ICZM (Figure 7). Therefore, building resilience to climatic disasters and human impacts in coastal cities and communities is urgently needed (Smith et al., 2011; Torabi et al., 2018; He and Silliman, 2019).

Climate change was involved in the topic of SDG 13 (Figure 8). Climate change is one of the only two challenges on ICZM from 1990 to July 10, 2021 (Figures S2-S5). Climate change has been widely regarded as the major inducement for sea level rise and increasing flooding risk in the coastal zone. Coastal vegetated ecosystems are the key carbon sinks, namely blue carbon sinks, which have been demonstrated to be the natural-based solution to mitigate climate change (Jiang et al., 2022). Thus, management practices to best maintain and improve blue carbon sequestration should become an important direction for future works.

SDG 14, namely the life below water, has been regarded to be the most relevant target for the ocean (Ntona and Morgera, 2018). Life below water closely connects with fishery and aquaculture, which are the primary activities for coastal community residents to maintain livelihoods (Slater et al., 2013; Islam et al., 2014). However, the increasing coastal pollution has severely impacted sustainable fishery and aquaculture (Islam and Tanaka, 2004; Thongsamer et al., 2021). Similar to SDG 6, improving water quality should be considered to achieve SDG 14. Meanwhile, the livelihoods of coastal community residents should become a work focus.

Besides, developing relevant tools and methods (section 3.3.4) was imperative for the acquisition and accuracy of basic data to better achieve a sustainable ICZM. According to the analysis above, future research directions on ICZM can be summarized as follows: (1) Coordinating different types of conflicts and achieving integrated benefits; (2) Strengthening the link between coastal ecosystems and human well-being; (3) Enhancing the development of tools and methods to support decision making.

4 Conclusion

The research situation, hot topics, and future directions of ICZM research were analyzed through a bibliometric method combined with content analysis and SNA. The results indicated that the number of published articles per year has increased exponentially from 2 articles in 1990 to 520 in 2020. USA, NOAA, Environmental Sciences, and Ocean & Coastal Management were the most productive country, institution, category, and journal, respectively. Regarding publication number, academic influence, and international collaboration, developed and developing countries have discrepant contributions to the ICZM field, and developed countries tend to be predominant. Among the eight groups identified by the co-word analysis, the most frequently concerned group was ‘challenge.’ Diversified challenges, such as climate change, water quality, fishery, and biodiversity, pose difficulties for achieving sustainable ICZM and put forward advanced requirements on decision-support technologies and methods, such as RS and GIS. Social-ecological systems, including estuaries, mangroves, and coral reefs, and their services began to be a concern. Based on the characteristics of the coastal zone, four UN-SDGs related to ICZM, consisting of ‘clean water and sanitation’, ‘sustainable cities and communities’, climate action’, and ‘life below water’, were identified. And corresponding future directions were suggested to achieve multiple benefits and included: (1) Further studies should strengthen water quality monitoring, control land-sourced pollution, and develop a water management framework; (2) More attention should be paid to building resilience to climatic disasters and human impacts in coastal cities and communities; (3) Improving livelihoods of coastal residents should be prioritized in the ICZM field; (4) Future studies correspondingly need to focus on and deploy relevant tools and methods to obtain high-accuracy data. The most notable strength of this study is that it reveals hot topics in the field of ICZM and provides directions for future research, promoting UN-SDG achievements. However, there are some limitations in this paper. Owing to the difficulty of data acquisition, unpublished documents, which might also contain important information, weren’t involved in the raw data of this study. In addition, some topic models, such as latent Dirichlet allocation and latent semantic analysis, could be employed in further study to enhance the efficiency and accuracy of focal topic detection. Our results provide a valuable reference to identify the potential obstacles and opportunities for researchers working on ICZM and related topics.

Data availability statement

The data analyzed in this study is subject to the following licenses/restrictions: data will be obtained by request. Requests to access these datasets should be directed to jianglu@stu.ouc.edu.cn.

Author contributions

LJ participated in conception of research ideas and wrote the sections of the manuscript. TY and XW conducted the bibliometric analysis. JY, JL, and KZ reviewed the literature. All authors contributed to the article and approved the submitted version.

Funding

This work is supported by National Natural Science Foundation of China [grant number: 42271247] and Guangxi Key Laboratory of Marine Environmental Science, Guangxi Academy of Sciences [grant number: GXKLHY21-04].

Acknowledgments

We would like to thank all the colleagues in Ocean University of China and Qingdao University of Technology for their supports.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fmars.2023.1201811/full#supplementary-material

References

Acosta M., Coronado D., Ferrandiz E., Leon M. D. (2011). Factors affecting inter-regional academic scientific collaboration within Europe: the role of economic distance. Scientometrics 87, 63–74. doi: 10.1007/s11192-010-0305-6

CrossRef Full Text | Google Scholar

Albotoush R., Shau-Hwai A. T. (2019). Evaluating Integrated Coastal Zone Management efforts in penang Malaysia. Ocean Coast. Manage. 181, 104899. doi: 10.1016/j.ocecoaman.2019.104899

CrossRef Full Text | Google Scholar

Allenbach K., Garonna I., Herold C., Monioudi I., Giulianim G., Lehmann A., et al. (2015). Black Sea beaches vulnerability to sea level rise. Environ. Sci. Policy 46, 95–109. doi: 10.1016/j.envsci.2014.07.014

CrossRef Full Text | Google Scholar

Andrews E. ,. J., Wolfe S., Nayak P. K., Armitage D. (2021). Coastal fishers livelihood behaviors and their psychosocial explanations implications for fisheries governance in a changing world. Front. Mar. Sci. 8. doi: 10.3389/fmars.2021.634484

CrossRef Full Text | Google Scholar

Areizaga J., Sano M., Medina R., Juanes J. (2012). Improving public engagement in ICZM: A practical approach. J. Environ. Manage. 109, 123–135. doi: 10.1016/j.jenvman.2012.05.006

PubMed Abstract | CrossRef Full Text | Google Scholar

Arkema K. K., Verutes G., Bernhardt J. R., Clarke C., Rosado S., Canto M., et al. (2014). Assessing habitat risk from human activities to inform coastal and marine spatial planning: a demonstration in Belize. Environ. Res. Lett. 9, 114016. doi: 10.1088/1748-9326/9/11/114016

CrossRef Full Text | Google Scholar

Balaguer P., Sarda R., Ruiz M., Diedrich A., Vizoso G., Tintore J. (2008). A proposal for boundary delimitation for integrated coastal zone management initiatives. Ocean Coast. Manage. 51, 806–814. doi: 10.1016/j.ocecoaman.2008.08.003

CrossRef Full Text | Google Scholar

Ballinger R., Pickaver A., Lymbery G., Ferreria M. (2010). An evaluation of the implementation of the European ICZM principles. Ocean Coast. Manage. 53, 738–749. doi: 10.1016/j.ocecoaman.2010.10.013

CrossRef Full Text | Google Scholar

Barbier E. B., Hacker S. D., Kennedy C., Koch E. W., Stier A. C., Silliman B. R. (2011). The value of estuarine and coastal ecosystem services. Ecol. Monogr. 81, 169–193. doi: 10.1890/10-1510.1

CrossRef Full Text | Google Scholar

Barker A. (2006). Strategic environmental assessment (SEA) as a tool for integration within coastal planning. J. Coast. Res. 22, 946–950. doi: 10.2112/04-0292.1

CrossRef Full Text | Google Scholar

Bastian M., Heymann S., Jacomy M. (2009). Gephi: An open source software for exploring and manipulating networks. Proceedings of the International AAAI Conference on Web and Social Media. 3 (1), 361–362. doi: 10.1609/icwsm.v3i1.13937

CrossRef Full Text | Google Scholar

Belgiu M., Dragut L. (2016). Random forest in remote sensing: A review of applications and future directions. ISPRS J. Photogramm. 114, 24–31. doi: 10.1016/j.isprsjprs.2016.01.011

CrossRef Full Text | Google Scholar

Bell S., Pena A. C., Prem M. (2013). Imagine coastal sustainability. Ocean Coast. Manage 83, 39–51. doi: 10.1016/j.ocecoaman.2013.02.016

CrossRef Full Text | Google Scholar

Blondel V. D., Guillaume J. L., Lambiotte R., Lefebvre E. (2008). Fast unfolding of communities in large networks. J. Statist. Mech. 2008, P10008. doi: 10.1088/1742-5468/2008/10/P10008

CrossRef Full Text | Google Scholar

Borja A., White M. P., Berdalet E., Bock N., Eatock C., Kristensen P., et al. (2020). Moving toward an agenda on ocean health and human health in Europe. Front. Mar. Sci. 7. doi: 10.3389/fmars.2020.00037

CrossRef Full Text | Google Scholar

Botero C., Anfuso G., Williams A. T., Palacios A. (2013). Perception of coastal scenery along the Caribbean littoral of Colombia. J. Coast. Res. 65, 1733–1738. doi: 10.2112/SI65-293.1

CrossRef Full Text | Google Scholar

Bruno M. F., Saponieri A., Molfetta M. G., Damiani L. (2020). The DPSIR Approach for Coastal Risk Assessment under Climate Change at Regional Scale: The Case of Apulian Coast (Italy). J. Mar. Sci. Eng. 8, 531. doi: 10.3390/jmse8070531

CrossRef Full Text | Google Scholar

Bulleri F., Eriksson B. K., Queiros A., Airoldi L., Arenas F., Arvanitidis C., et al. (2018). Harnessing positive species interactions as a tool against climate-driven loss of coastal biodiversity. PloS Biol. 16, e2006852. doi: 10.1371/journal.pbio.2006852

PubMed Abstract | CrossRef Full Text | Google Scholar

Callaghan C. W. (2021). Growth contributions of technological change: Is there a burden of knowledge effect? Technol. Forecast. Soc 172, 121076. doi: 10.1016/j.techfore.2021.121076

CrossRef Full Text | Google Scholar

Cantasano N., Caloiero T., Pellicone G., Aristodemo F., De Marco A., Tagarelli G. (2021). Can ICZM contribute to the mitigation of erosion and of human activities threatening the natural and cultural heritage of the coastal landscape of Calabria? Sustainability 13, 1122. doi: 10.3390/su13031122

CrossRef Full Text | Google Scholar

Carlberg A. (2005). The SUCOZOMA program: Results and challenges. Ambio 34, 62–64. doi: 10.1639/0044-7447(2005)034[0062:TSPRAC]2.0.CO;2

PubMed Abstract | CrossRef Full Text | Google Scholar

Caviedes V., Arenas-Granados P., Barragan-Munoz. J. M. (2020). Regional public policy for Integrated Coastal Zone Management in Central America. Ocean Coast. Manage. 186, 105114. doi: 10.1016/j.ocecoaman.2020.105114

CrossRef Full Text | Google Scholar

Chang Y. C., Hong F. W., Lee M. T. (2008). A system dynamic based DSS for sustainable coral reef management in Kenting coastal zone, Taiwan. Ecol. Model. 211, 153–168. doi: 10.1016/j.ecolmodel.2007.09.001

CrossRef Full Text | Google Scholar

Chen J., Chang Z. (2015). Rethinking urban green space accessibility: Evaluating and optimizing public transportation system through social network analysis in megacities. Landscape Urban Plan. 143, 150–159. doi: 10.1016/j.landurbplan.2015.07.007

CrossRef Full Text | Google Scholar

Chen B., Huang H., Yu W. W., Zheng S. L., Wang J. K., Jiang J. K. (2009). Marine biodiversity conservation based on integrated coastal zone management (ICZM)-A case study in Quanzhou Bay, Fujian, China. Ocean Coast. Manage. 52, 612–619. doi: 10.1016/j.ocecoaman.2009.10.006

CrossRef Full Text | Google Scholar

Chinchilla-Rodriguez Z., Sugimoto C. R., Lariviere V. (2019). Follow the leader: On the relationship between leadership and scholarly impact in international collaborations. PloS One 14, e0218309. doi: 10.1371/journal.pone.0218309

PubMed Abstract | CrossRef Full Text | Google Scholar

Chiu W. T., Ho Y. S. (2005). Bibliometric analysis of homeopathy research during the period of 1991 to 2003. Scientometrics 63, 3e23. doi: 10.1007/s11192-005-0201-7

CrossRef Full Text | Google Scholar

Cinner J. E., McClanahan T. R., MacNeil M. A., Graham N. A. J., Daw T. M., Mukminin A., et al. (2012). Comanagement of coral reef social-ecological systems. Proc. Natl. Acad. Sci. U.S.A. 109, 5219–5222. doi: 10.1073/pnas.1121215109

PubMed Abstract | CrossRef Full Text | Google Scholar

Clark J. R. (1997). Coastal zone management for the new century. Ocean Coast. Manage. 37, 191–216. doi: 10.1016/S0964-5691(97)00052-5

CrossRef Full Text | Google Scholar

Costanza R., dArge R., deGroot R., Farber S., Grasso M., Hannon B., et al. (1997). The value of the world's ecosystem services and natural capital. Nature 387, 253–260. doi: 10.1038/387253a0

CrossRef Full Text | Google Scholar

Coulter N., Monarch I., Konda S. (1998). Software engineering as seen through its research literature: A study in co-word analysis. J. Am. Soc Inf. Sci. 49, 1206–1223. doi: 10.1002/(SICI)1097-4571(1998)49:13<1206::AID-ASI7>3.0.CO;2-F

CrossRef Full Text | Google Scholar

Dada O., Almar R., Morand P., Menard F. (2021). "Towards West African coastal social-ecosystems sustainability: Interdisciplinary approaches". Ocean Coast. Manage. 211, 105746. doi: 10.1016/j.ocecoaman.2021.105746

CrossRef Full Text | Google Scholar

de Andres M., Munoz J. M. B., Onetti J. G., Zuniga L. D. C. (2023). Mapping services for an ecosystem based management along the Andalusian coastal zone (Spain). Ocean Coast. Manage. 231, 106402. doi: 10.1016/j.ocecoaman.2022.106402

CrossRef Full Text | Google Scholar

de Battisti F., Salini S. (2013). Robust analysis of bibliometric data. Stat. Method Appl. Ger. 22, 269e283. doi: 10.1007/s10260-012-0217-0

CrossRef Full Text | Google Scholar

Deboudt P., Dauvin J. C., Lozachmeur O. (2008). Recent developments in coastal zone management in France: The transition towards integrated coastal zone management, (1973-2007). Ocean Coast. Manage. 51, 212–228. doi: 10.1016/j.ocecoaman.2007.09.005

CrossRef Full Text | Google Scholar

Ding Y., Chowdhury G. G., Foo S. (2001). Bibliometric cartography of information retrieval research by using co-word analysis. Inform. Process. Manage. 37, 817–842. doi: 10.1016/S0306-4573(00)00051-0

CrossRef Full Text | Google Scholar

Dominguez-Tejo E., Metternicht G., Johnston E., Hedge L. (2016). Marine Spatial Planning advancing the Ecosystem-Based Approach to coastal zone management: A review. Mar. Policy 72, 115–130. doi: 10.1016/j.marpol.2016.06.023

CrossRef Full Text | Google Scholar

Du H., Li B., Brown M. A., Mao G., Rameezdeen R., Chen H. (2015). Expanding and shifting trends in carbon market research: a quantitative bibliometric study. J. Clean. Prod. 103, 104–111. doi: 10.1016/j.jclepro.2014.05.094

CrossRef Full Text | Google Scholar

Eddy T. D., Lam V. W. Y., Reygondeau G., Cisneros-Montemayor A. M., Greer K., Palomares M. L. D., et al. (2021). Global decline in capacity of coral reefs to provide ecosystem services. One Earth 4, 1278–1285. doi: 10.1016/j.oneear.2021.08.016

CrossRef Full Text | Google Scholar

Feng Y. T., Zhu Q. H., Lai K. H. (2017). Corporate social responsibility for supply chain management: A literature review and bibliometric analysis. J. Clean. Prod. 158, 296–307. doi: 10.1016/j.jclepro.2017.05.018

CrossRef Full Text | Google Scholar

Fuentes J. C. N., Granados P. A., Martins F. C. (2018). Integrated coastal management in Campeche, Mexico; a review after the Mexican marine and coastal national policy. Ocean Coast. Manage. 154, 34–35. doi: 10.1016/j.ocecoaman.2017.12.029

CrossRef Full Text | Google Scholar

Gall R., Franklin J., Marks F., Rappaport E. N., Toepfer F. (2013). The hurricane forecast improvement project. B. Am. Meteorol. Soc 94, 329–343. doi: 10.1175/BAMS-D-12-00071.1

CrossRef Full Text | Google Scholar

Gallardo-Gallardo E., Nijs S., Dries N., Gallo P. (2015). Towards an understanding of talent management as a phenomenon-driven field using bibliometric and content analysis. Hum. Resour. Manage-US 25, 264–279. doi: 10.1016/j.hrmr.2015.04.003

CrossRef Full Text | Google Scholar

Garcia-Ayllon S. (2018). The Integrated Territorial Investment (ITI) of the Mar Menor as a model for the future in the comprehensive management of enclosed coastal seas. Ocean Coast. Manage. 166, 82–97. doi: 10.1016/j.ocecoaman.2018.05.004

CrossRef Full Text | Google Scholar

Gari S. R., Newton A., Icely J., Lowe C. D. (2014). Testing the application of the Systems Approach Framework (SAF) for the management of eutrophication in the Ria Formosa. Mar. Policy 43, 40–45. doi: 10.1016/j.marpol.2013.03.017

CrossRef Full Text | Google Scholar

Ghermandi A. (2015). Benefits of coastal recreation in Europe: Identifying trade-offs and priority regions for sustainable management. J. Environ. Manage. 152, 218–229. doi: 10.1016/j.jenvman.2015.01.047

PubMed Abstract | CrossRef Full Text | Google Scholar

Gonzalez O. L., Merinero-Rodriguez R., Pulido-Fernandez J. I. (2021). Tourist destination development and social network analysis: What does degree centrality contribute? Int. J. Tour. Res. 23, 652–666. doi: 10.1002/jtr.2432

CrossRef Full Text | Google Scholar

Granek E. F., Polasky S., Kappel C. V., Reed D. J., Stoms. D. M., Koch E. W., et al. (2010). Ecosystem services as a common language for coastal ecosystem-based management. Conserv. Biol. 24, 207–216. doi: 10.1111/j.1523-1739.2009.01355.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Gunnarsson J., Bjork M., Gilek M., Granberg M., Rosenberg R. (2000). Effects of eutrophication on contaminant cycling in marine benthic systems. Ambio 29, 4–5. doi: 10.1639/0044-7447(2000)029[0252:EOEOCC]2.0.CO;2

CrossRef Full Text | Google Scholar

Gvilava M., Bakuradze T., Gigineishvili A. (2015). Easy to use tools for ICZM progress reporting and coastal indicators. J. Coast. Conserv. 19, 643–652. doi: 10.1007/s11852-015-0375-y

CrossRef Full Text | Google Scholar

Hansen H. S., Fuglsang M. (2014). An operational web-based indicator system for integrated coastal zone management. ISPRS Int. J. Geo-Inf. 3, 326–344. doi: 10.3390/ijgi3010326

CrossRef Full Text | Google Scholar

He Q., Silliman B. R. (2019). Climate change, human impacts, and coastal ecosystems in the anthropocene. Curr. Biol. 29, R1021–R1035. doi: 10.1016/j.cub.2019.08.042

PubMed Abstract | CrossRef Full Text | Google Scholar

Helm S. V., Pollitt A., Barnett M. A., Curran M. A., Craig Z. R. (2018). Differentiating environmental concern in the context of psychological adaption to climate change. Global Environ. Change 48, 158–167. doi: 10.1016/j.gloenvcha.2017.11.012

CrossRef Full Text | Google Scholar

Hietala R., Ijas A., Pikner T., Kull A., Printsmann A., Kuusik M., et al. (2021). Data integration and participatory process in developing integrated coastal zone management (ICZM) in the northern Baltic Sea. J. Coast. Conserv. 25, 47. doi: 10.1007/s11852-021-00833-4

CrossRef Full Text | Google Scholar

Hirsch J. E. (2005). An index to quantify an individual's scientific research output. P. Natl. Acad. Sci. U.S.A. 102, 16569–16572. doi: 10.1073/pnas.0507655102

CrossRef Full Text | Google Scholar

Hodgson E. E., Essington T. E., Samhouri J. F., Allison E. H., Bennett N. J., Bostrom A., et al. (2019). Integrated risk assessment for the blue economy. Front. Mar. Sci. 6. doi: 10.3389/fmars.2019.00609

CrossRef Full Text | Google Scholar

Hou L., Pan Y. L., Zhu J. J. H. (2021). Impact of scientific, economic, geopolitical, and cultural factors on international research collaboration. J. Informetr. 15, 101194. doi: 10.1016/j.joi.2021.101194

CrossRef Full Text | Google Scholar

Huang M. X., Wang Z. Z., Chen T. (2019). Analysis on the theory and practice of industrial symbiosis based on bibliometrics and social network analysis. J. Clean. Prod. 213, 956–967. doi: 10.1016/j.jclepro.2018.12.131

CrossRef Full Text | Google Scholar

Islam M. M., Sallu S., Hubacek K., Paavola J. (2014). Vulnerability of fishery-based livelihoods to the impacts of climate variability and change: insights from coastal Bangladesh. Reg. Environ. Change 14, 281–294. doi: 10.1007/s10113-013-0487-6

CrossRef Full Text | Google Scholar

Islam M. S., Tanaka M. (2004). Impacts of pollution on coastal and marine ecosystems including coastal and marine fisheries and approach for management: a review and synthesis. Mar. pollut. Bull. 48, 624–649. doi: 10.1016/j.marpolbul.2003.12.004

PubMed Abstract | CrossRef Full Text | Google Scholar

Jiang L., Yang T., Yu J. (2022). Global trends and prospects of blue carbon sinks: a bibliometric analysis. Environ. Sci. pollut. R. 29, 65924–65939. doi: 10.1007/s11356-022-22216-4

CrossRef Full Text | Google Scholar

Jones-Walters L., Cil A. (2011). Biodiversity and stakeholder participation. J. Nat. Conserv. 19, 327–329. doi: 10.1016/j.jnc.2011.09.001

CrossRef Full Text | Google Scholar

Judd N., Lowney Y., Anderson P., Baird S., Bay S. M., Breidt J., et al. (2015). Fish consumption as a driver of risk-management decisions and human health-based water quality criteria. Environ. Toxicol. Chem. 34, 2427–3155. doi: 10.1002/etc.3155

PubMed Abstract | CrossRef Full Text | Google Scholar

Kandrot S., Hayes S., Holloway P. (2021). Applications of uncrewed aerial vehicles (UAV) technology to support integrated coastal zone management and the UN sustainable development goals at the coast. Estuar. Coast. 45, 1230–1249. doi: 10.1007/s12237-021-01001-5

CrossRef Full Text | Google Scholar

Kankara R. S., Subramanian. B. R., Sampath V. (2007). Validation of a deterministic hydrodynamic model in the ICZM framework for Gulf of Kachchh, India. J. Coast. Res. 23, 1324–132+. doi: 10.2112/04-0367.1

CrossRef Full Text | Google Scholar

Karimi F., Khalilpour R. (2015). Evolution of carbon capture and storage research: Trends of international collaborations and knowledge maps. Int. J. Greenh. Gas Con. 37, 362–376. doi: 10.1016/j.ijggc.2015.04.002

CrossRef Full Text | Google Scholar

Khelil N., Larid M., Grimes S., Le Berre I., Peuziat I. (2019). Challenges and opportunities in promoting integrated coastal zone management in Algeria: Demonstration from the Algiers coast. Ocean Coast. Manage. 168, 185–196. doi: 10.1016/j.ocecoaman.2018.11.001

CrossRef Full Text | Google Scholar

Kim Y. H., Im J., Ha H. K., Choi J. K., Ha S. (2014). Machine learning approaches to coastal water quality monitoring using GOCI satellite data. Gisci. Remote Sens. 51, 158–174. doi: 10.1080/15481603.2014.900983

CrossRef Full Text | Google Scholar

Koutrakis E., Sapounidis A., Marzetti S., Marin V., Roussel S., Martino S., et al. (2011). ICZM and coastal defence perception by beach users: Lessons from the Mediterranean coastal area. Ocean Coast. Manage. 54, 821–830. doi: 10.1016/j.ocecoaman.2011.09.004

CrossRef Full Text | Google Scholar

Kratzer S., Harvey E. T., Philipson P. (2013). The use of ocean color remote sensing in integrated coastal zone management-A case study from Himmerfjarden, Sweden. Mar. Policy 43, 29–39. doi: 10.1016/j.marpol.2013.03.023

CrossRef Full Text | Google Scholar

Leberman S. I., Eames B., Barnett S. (2016). Unless you are collaborating with a big name successful professor, you are unlikely to receive funding. Gender Educ. 28, 644–661. doi: 10.1080/09540253.2015.1093102

CrossRef Full Text | Google Scholar

Lee K. H., Jeong H. J., Lee K., Franks P. J. S., Seong K. A., Lee S. Y., et al. (2019). Effects of warming and eutrophication on coastal phytoplankton production. Harmful Algae 81, 106–118. doi: 10.1016/j.hal.2018.11.017

PubMed Abstract | CrossRef Full Text | Google Scholar

Lozoya J. P., Sarda R., Jimenez J. A. (2011). A methodological framework for multi-hazard risk assessment in beaches. Environ. Sci. Policy 14, 685–696. doi: 10.1016/j.envsci.2011.05.002

CrossRef Full Text | Google Scholar

Malinga R., Gordon L. J., Jewitt G., Lindborg R. (2015). Mapping ecosystem services across scales and continents - A review. Ecosyst. Serv. 13, 57–63. doi: 10.1016/j.ecoser.2015.01.006

CrossRef Full Text | Google Scholar

Mao G. Z., Huang N., Chen L., Wang H. M. (2018). Research on biomass energy and environment from the past to the future: A bibliometric analysis. Sci. Total Environ. 635, 1081–1090. doi: 10.1016/j.scitotenv.2018.04.173

PubMed Abstract | CrossRef Full Text | Google Scholar

Mao G., Zou H., Chen G., Du H., Zuo J. (2015). Past, current and future of biomass energy research: A bibliometric analysis. Renew. Sustain. Energy Rev. 52, 1823–1833. doi: 10.1016/j.rser.2015.07.141

CrossRef Full Text | Google Scholar

Maras E. E., Caniberk M., Maras H. H. (2016). Automatic coastline detection using image enhancement and segmentation algorithms. Pol. J. Environ. Stud. 25, 2519–2525. doi: 10.15244/pjoes/64160

CrossRef Full Text | Google Scholar

Martín-López B., Palomo I., García-Llorente M., Iniesta-Arandia I., Castro A. J., García Del Amo D., et al. (2017). Delineating boundaries of social-ecological systems for landscape planning: A comprehensive spatial approach. Land Use Policy 66, 90–104. doi: 10.1016/j.landusepol.2017.04.040

CrossRef Full Text | Google Scholar

Matlin S. A., Mehta G., Hopf H., Krief A. (2015). The role of chemistry in inventing a sustainable future. Nat. Chem. 7, 941–943. doi: 10.1038/nchem.2389

PubMed Abstract | CrossRef Full Text | Google Scholar

Maure E. D., Terauchi G., Ishizaka J., Clinton N., DeWitt M. (2021). Globally consistent assessment of coastal eutrophication. Nat. Commun. 12, 6142. doi: 10.1038/s41467-021-26391-9

PubMed Abstract | CrossRef Full Text | Google Scholar

Mendoza-Gonzalez G., Martinez M. L., Lithgow D., Perez-Maqueo O., Simonin P. (2012). Land use change and its effects on the value of ecosystem services along the coast of the Gulf of Mexico. Ecol. Econ. 82, 23–32. doi: 10.1016/j.ecolecon.2012.07.018

CrossRef Full Text | Google Scholar

Milinski M., Sommerfeld R. D., Krambeck H.-J., Reed F. A., Marotzke J. (2008). The collective-risk social dilemma and the prevention of simulated dangerous climate change. Proc. Natl. Acad. Sci. U.S.A. 105, 2291–2294. doi: 10.1073/pnas.0709546105

PubMed Abstract | CrossRef Full Text | Google Scholar

Nature (2022). Connected World (Nature Index). Available at: https://www.nature.com/nature-index/

Google Scholar

Neumann B., Vafeidis A. T., Zimmermann J., Nicholls R. J. (2015). Future coastal population growth and exposure to sea-level rise and coastal flooding - A global assessment. PloS One 10, e0118571. doi: 10.1371/journal.pone.0118571

PubMed Abstract | CrossRef Full Text | Google Scholar

Ntona M., Morgera E. (2018). Connecting SDG 14 with the other Sustainable Development Goals through marine spatial planning. Mar. Policy 93, 214–222. doi: 10.1016/j.marpol.2017.06.020

CrossRef Full Text | Google Scholar

O’Mahony C., Gray S., Gault J., Cummins V. (2020). ICZM as a framework for climate change adaptation action - Experience from Cork Harbour, Ireland. Mar. Policy 111, 102223. doi: 10.1016/j.marpol.2015.10.008

CrossRef Full Text | Google Scholar

Orhan C. C., Guajardo M. (2021). Analytics in developing countries: methods, applications, and the impact on the UN Sustainable Development Goals. Int. T. Oper. Res. 29, 2041–2081. doi: 10.1111/itor.13018

CrossRef Full Text | Google Scholar

Orwat M. I., Kempny A., Bauer U., Gatzoulis M. A., Baumgartner H., Diller G. P. (2015). The importance of national and international collaboration in adult congenital heart disease: A network analysis of research output. Int. J. Cardiol. 195, 155–162. doi: 10.1016/j.ijcard.2015.05.116

PubMed Abstract | CrossRef Full Text | Google Scholar

Otte E., Rousseau R. (2002). Social network analysis: a powerful strategy, also for the information sciences. J. Inf. Sci. 28, 441–453. doi: 10.1177/016555150202800601

CrossRef Full Text | Google Scholar

Papatheochari T., Coccossis H. (2019). Development of a waterfront regeneration tool to support local decision making in the context of integrated coastal zone management. Ocean Coast. Manage. 169, 284–295. doi: 10.1016/j.ocecoaman.2018.12.013

CrossRef Full Text | Google Scholar

Pavlidou A., Simboura N., Rousselaki E., Tsapakis M., Pagou K., Drakopoulou P., et al. (2015). Methods of eutrophication assessment in the context of the water framework directive: Examples from the Eastern Mediterranean coastal areas. Cont. Shelf Res. 108, 156–168. doi: 10.1016/j.csr.2015.05.013

CrossRef Full Text | Google Scholar

Pickaver A. H., Gillbert. C., Breton F. (2004). An indicator set to measure the progress in the implementation of integrated coastal zone management in Europe. Ocean Coast. Manage. 47, 449–462. doi: 10.1016/j.ocecoaman.2004.06.001

CrossRef Full Text | Google Scholar

Pinto R., Martins F. C. (2013). The Portuguese National Strategy for Integrated Coastal Zone Management as a spatial planning instrument to climate change adaptation in the Minho River Estuary (Portugal NW-Coastal Zone). Environ. Sci. Policy 33, 76–96. doi: 10.1016/j.envsci.2013.04.005

CrossRef Full Text | Google Scholar

Polidoro B. A., Carpenter K. E., Collins L., Duke N. C., Ellison A. M., Ellison J. C., et al. (2010). The loss of species: mangrove extinction risk and geographic areas of global concern. PloS One 5, e10095. doi: 10.1371/journal.pone.0010095

PubMed Abstract | CrossRef Full Text | Google Scholar

Portman M. E., Esteves L. S., Le X. Q., Khan A. Z. (2012). Improving integration for integrated coastal zone management: An eight country study. Sci. Total Environ. 439, 194–201. doi: 10.1016/j.scitotenv.2012.09.016

PubMed Abstract | CrossRef Full Text | Google Scholar

Pradhan B. (2013). A comparative study on the predictive ability of the decision tree, support vector machine and neuro-fuzzy models in landslide susceptibility mapping using GIS. Comput. Geosci-UK 51, 350–365. doi: 10.1016/j.cageo.2012.08.023

CrossRef Full Text | Google Scholar

Pritchard A. (1969). Statistical bibliography or bibliometrics. J. Doc. 25, 348–349.

Google Scholar

Qing Y. T., Nie X., Wang H., Wei Z. X., Pang H. (2022). Assessment of the effects of integrated coastal zone management based on synthetic control method. Front. Mar. Sci. 9. doi: 10.3389/fmars.2022.1014246

PubMed Abstract | CrossRef Full Text | Google Scholar

Rashidi K., Noorizadeh A., Kannan D., Cullinane K. (2020). Applying the triple bottom line in sustainable supplier selection: A meta-review of the state-of-the-art. J. Clean. Prod. 269, 122001. doi: 10.1016/j.jclepro.2020.122001

CrossRef Full Text | Google Scholar

R Core Team (2022). R: A language and environment for statisticalm computing (Vienna, Austria: R Foundation for Statistical Computing).

Google Scholar

Rogelj J., den Elzen M., Höhne N., Fransen T., Fekete H., Winkler H., et al. (2016). Paris Agreement climate proposals need a boost to keep warming well below 2°C. Nature 534, 631–639. doi: 10.1038/nature18307

PubMed Abstract | CrossRef Full Text | Google Scholar

Ronda-Pupo G. A., Guerras-Martin L. A. (2010). Dynamics of the scientific community network within the strategic management field through the Strategic Management Journal 1980-2009: the role of cooperation. Scientometrics 85, 821–848. doi: 10.1007/s11192-010-0287-4

CrossRef Full Text | Google Scholar

Roy K., Gain A. K., Mallick B., Vogt J. (2018). Social, hydro-ecological and climatic change in the southwest coastal region of Bangladesh. Reg. Environ. Change 17, 1895–1906. doi: 10.1007/s10113-017-1158-9

CrossRef Full Text | Google Scholar

Santilli M., Moutinho P., Schwartzman S., Nepstad D., Curran L., Nobre C. (2005). Tropical deforestation and the kyoto protocol. Climatic Change 71, 267–276. doi: 10.1007/s10584-005-8074-6

CrossRef Full Text | Google Scholar

Satta A., Snoussi M., Puddu M., Flayou L., Hout R. (2016). An index-based method to assess risks of climate-related hazards in coastal zones: The case of Tetouan. Estuar. Coast. Shelf S. 175, 93–105. doi: 10.1016/j.ecss.2016.03.021

CrossRef Full Text | Google Scholar

Scemama P., Regnier E., Blanchard F., Thébaud O. (2022). Ecosystem services assessment for the conservation of mangroves in French Guiana using fuzzy cognitive mapping. Front. For. Glob. Change 4. doi: 10.3389/ffgc.2021.769182

CrossRef Full Text | Google Scholar

Schernewski G., Inacio M., Nazemtseva Y. (2018). Expert based ecosystem service assessment in coastal and marine planning and management: A baltic lagoon case study. Front. Environ. Sci. 6. doi: 10.3389/fenvs.2018.00019

CrossRef Full Text | Google Scholar

Shipman B., Stojanovic T. (2007). Facts, fictions, and failures of integrated coastal zone management in Europe. Coast. Manage. 35, 375–398. doi: 10.1080/08920750601169659

CrossRef Full Text | Google Scholar

Slater M. J., Mgaya Y. D., Mill A. C., Rushton S. P., Stead S. M. (2013). Effect of social and economic drivers on choosing aquaculture as a coastal livelihood. Ocean Coast. Manage. 73, 22–30. doi: 10.1016/j.ocecoaman.2012.12.002

CrossRef Full Text | Google Scholar

Smith T. F., Daffara P., O’Toole K., Matthews J., Thomsen D. C., Inayatullah S., et al. (2011). A method for building community resilience to climate change in emerging coastal cities. Futures 43, 673–679. doi: 10.1016/j.futures.2011.05.008

CrossRef Full Text | Google Scholar

Sonak S., Pangam P., Giriyan A. (2008). Green reconstruction of the tsunami-affected areas in India using the integrated coastal zone management concept. J. Environ. Manage. 89 (1), 14–23. doi: 10.1016/j.jenvman.2007.01.052

PubMed Abstract | CrossRef Full Text | Google Scholar

Sousa L. P., Alves F. L. (2020). A model to integrate ecosystem services into spatial planning: Ria de Aveiro coastal lagoon study. Ocean Coast. Manage. 195, 105280. doi: 10.1016/j.ocecoaman.2020.105280

CrossRef Full Text | Google Scholar

Storelli M. M. (2008). Potential human health risks from metals (Hg, Cd, and Pb) and polychlorinated biphenyls (PCBs) via seafood consumption: Estimation of target hazard quotients (THQs) and toxic equivalents (TEQs). Food Chem. Toxicol. 46, 2782–2788. doi: 10.1111/j.1461-0248.2005.00871.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Suttmeier R. P., Cao C., Simon D. F. (2006). Priorities and funding - “Knowledge innovation” and the Chinese Academy of Sciences. Science 312, 58–59. doi: 10.1126/science.1122280

PubMed Abstract | CrossRef Full Text | Google Scholar

Thompson-Saud G., Wenger A. S. (2022). Common characteristics of successful water quality improvement through point source pollution management. Mar. pollut. Bull. 185, 114281. doi: 10.1016/j.marpolbul.2022.114281

CrossRef Full Text | Google Scholar

Thongsamer T., Neamchan R., Neamchan R., Blackburn A., Acharya K., Sutheeworapong S., et al. (2021). Environmental antimicrobial resistance is associated with faecal pollution in Central Thailand's coastal aquaculture region. J. Hazard. Mater. 416, 125718. doi: 10.1016/j.jhazmat.2021.125718

PubMed Abstract | CrossRef Full Text | Google Scholar

Tiller R., Brekken T., Bailey J. (2012). Norwegian aquaculture expansion and Integrated Coastal Zone Management (ICZM): Simmering conflicts and competing claims. Mar. Policy 36, 1086–1095. doi: 10.1016/j.marpol.2012.02.023

CrossRef Full Text | Google Scholar

Torabi E., Dedekorkut- Howes A., Howes M. (2018). Adapting or maladapting: Building resilience to climate-related disasters in coastal cities. Cities 72, 295–309. doi: 10.1016/j.cities.2017.09.008

CrossRef Full Text | Google Scholar

Uehara T., Niu J., Chen X. C., Ota T., Nakagami K. (2016). A sustainability assessment framework for regional-scale Integrated Coastal Zone Management (ICZM) incorporating Inclusive Wealth, Satoumi, and ecosystem services science. Sustain. Sci. 11, 801–812. doi: 10.1007/s11625-016-0373-5

CrossRef Full Text | Google Scholar

Wang S. H., Huang S. L., Budd W. W. (2012). Resilience analysis of the interaction of between typhoons and land use change. Landscape Urban Plan. 106, 303–315. doi: 10.1016/j.landurbplan.2012.04.002

CrossRef Full Text | Google Scholar

Warnken J., Mosadeghi R. (2018). Challenges of implementing integrated coastal zone management into local planning policies, a case study of Queensland, Australia. Mar. Policy 91, 75–84. doi: 10.1016/j.marpol.2018.01.031

CrossRef Full Text | Google Scholar

Webber Q. M. R., Vander Wal E. (2019). Trends and perspectives on the use of animal social network analysis in behavioural ecology: a bibliometric approach. Anim. Behav. 149, 77–87. doi: 10.1016/j.anbehav.2019.01.010

CrossRef Full Text | Google Scholar

Wheeler P., Peterson J. (2010). Exploring stakeholder views regarding spatial information and enabling technology use for ICZM: A case study from Victoria, Australia. Coast. Manage. 38, 1–21. doi: 10.1080/08920750903345007

CrossRef Full Text | Google Scholar

Williams E., McGlashan D. J., Firn J. R. (2006). Assessing socioeconomic costs and benefits of ICZM in the European Union. Coast. Manage. 34, 65–86. doi: 10.1080/08920750500364872

CrossRef Full Text | Google Scholar

Yang W. (2016a). Boost basic research in China. Nature 7608, 467–469. doi: 10.1038/534467a

CrossRef Full Text | Google Scholar

Yang W. (2016b). National Natural Science Foundation of China: Funding Excellent Basic Research for 30 Years. Available at: http://s3-service-broker-live-19ea8b98-4d41-4cb4-be4c-d68f4963b7dd.s3.amazonaws.com/uploads/ckeditor/attachments/8485/nsfc.pdf

Google Scholar

Yu X., Shen J., Du J. (2020). A machine-learning-based model for water quality in coastal waters, taking dissolved oxygen and hypoxia in Chesapeake bay as an example. Water Resour. Res. 56, e2020WR027227. doi: 10.1029/2020WR027227

CrossRef Full Text | Google Scholar

Yuan J. J., Lv Y. L., He G. Z. (2017). Sustainable Development Goals for oceans and marine and coastal ecosystem-based management. Acta Ecol. Sin. 37, 8139–8147. doi: 10.5846/stxb201702040211

CrossRef Full Text | Google Scholar

Zanotto S. R., Haeffner C., Guimaraes J. A. (2017). Unbalanced international collaboration affects adversely the usefulness of countries' scientific output as well as their technological and social impact. Scientomtrics 109, 1789–1814. doi: 10.1007/s11192-016-2126-8

CrossRef Full Text | Google Scholar

Zhang S., Mao G., Crittenden J., Liu X., Du H. (2017). Groundwater remediation from the past to the future: A bibliometric analysis. Water Res. 119, 114–125. doi: 10.1016/j.watres.2017.01.029

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang B., Wu Y. F., Zhao B. Y., Chanussot J., Hong D. F., Yao J., et al. (2022). Progress and challenges in intelligent remote sensing satellite systems. IEEE J-STARS. 15, 1814–1822. doi: 10.1109/JSTARS.2022.3148139

CrossRef Full Text | Google Scholar

Zhou F., Guo H. C., Ho Y. S., Wu C. Z. (2007). Scientometric analysis of geostatistics using multivariate methods. Scientometrics 73, 265e279. doi: 10.1007/s11192-007-1798-5

CrossRef Full Text | Google Scholar

Keywords: coastal management, sustainable development, content analysis, international collaboration, future direction

Citation: Jiang L, Yang T, Wang X, Yu J, Liu J and Zhang K (2023) Research on integrated coastal zone management from past to the future: a bibliometric analysis. Front. Mar. Sci. 10:1201811. doi: 10.3389/fmars.2023.1201811

Received: 07 April 2023; Accepted: 11 September 2023;
Published: 26 September 2023.

Edited by:

Wei-Bo Chen, National Science and Technology Center for Disaster Reduction (NCDR), Taiwan

Reviewed by:

Stuart James Kininmonth, The University of Queensland, Australia
Gustavo J. Nagy, Universidad de la República, Uruguay
Andre De Souza De Lima, George Mason University, United States

Copyright © 2023 Jiang, Yang, Wang, Yu, Liu and Zhang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Jing Yu, by6801@ouc.edu.cn

Download