A Scientometrics Review on Land Ecosystem Service Research

Resources time footprint indicator extension for evaluating human interventions in provisioning ecosystem services supply

The growing emphasis on ecosystem services (ES) has enhanced evaluation of their capacity. However, intensive human intervention in the provisioning ecosystem service (P-ES) supply driven by widening spatial gaps between supply sources and demand locations, compromises the long-term ES supply potential. The Resources Time Footprint (RTF) indicator provides numerical insights into these impacts in the form of occupancy rates by comparing resource utilization to allocated capacities over a person's lifespan. Nonetheless, its applicability to major P-ES is currently restricted due to the lack of water and water pollutant occupancy rates concepts. This study attempts to broaden the scope and robustness of RTF by introducing these missing aspects for enhanced P-ES management. Furthermore, by evaluating changes in RTF value around technological and social dynamics, resources requiring management interventions are identified. The extended RTF's potential is finally demonstrated through case studies involving consumable rice, water flow utilized for generating electricity via hydropower (HP), and sugarcane yielding consumable sugar and molasses with bagasse used to generate electricity. Based on prevailing resource conditions, all cases exhibited resource utilization within the allocated capacity. However, potential strain on specific resources such as land and water use in rice (24.63 and 18.69 years), copper in HP (8.46 years), and land and phosphate-potash minerals use in bagasse (22.66 and 23.56 years) highlights the need for interventions to ensure sustained benefits. The precise influence of water and water pollutants is inherently case and location specific; however, this study emphasized the necessity of integrating water use and availability factors into rice and HP supply-flow assessments. Overall, the enhanced RTF proved to be replicable across P-ESs, quantifying pressures, and guiding management strategies to maintain nature's regenerative capacity while meeting human needs.

Driving Force Analysis of Natural Wetland in Northeast Plain Based on SSA-XGBoost Model

Globally, natural wetlands have suffered severe ecological degradation (vegetation, soil, and biotic community) due to multiple factors. Understanding the spatiotemporal dynamics and driving forces of natural wetlands is the key to natural wetlands' protection and regional restoration. In this study, we first investigated the spatiotemporal evolutionary trends and shifting characteristics of natural wetlands in the Northeast Plain of China from 1990 to 2020. A dataset of driving-force evaluation indicators was constructed with nine indirect (elevation, temperature, road network, etc.) and four direct influencing factors (dryland, paddy field, woodland, grassland). Finally, we built the driving force analysis model of natural wetlands changes to quantitatively refine the contribution of different driving factors for natural wetlands' dynamic change by introducing the sparrow search algorithm (SSA) and extreme gradient boosting algorithm (XGBoost). The results showed that the total area of natural wetlands in the Northeast Plain of China increased by 32% from 1990 to 2020, mainly showing a first decline and then an increasing trend. Combined with the results of transfer intensity, we found that the substantial turn-out phenomenon of natural wetlands occurred in 2000-2005 and was mainly concentrated in the central and eastern parts of the Northeast Plain, while the substantial turn-in phenomenon of 2005-2010 was mainly located in the northeast of the study area. Compared with a traditional regression model, the SSA-XGBoost model not only weakened the multicollinearity of each driver but also significantly improved the generalization ability and interpretability of the model. The coefficient of determination (R2) of the SSA-XGBoost model exceeded 0.6 in both the natural wetland decline and rise cycles, which could effectively quantify the contribution of each driving factor. From the results of the model calculations, agricultural activities consisting of dryland and paddy fields during the entire cycle of natural wetland change were the main driving factors, with relative contributions of 18.59% and 15.40%, respectively. Both meteorological (temperature, precipitation) and topographic factors (elevation, slope) had a driving role in the spatiotemporal variation of natural wetlands. The gross domestic product (GDP) had the lowest contribution to natural wetlands' variation. This study provides a new method of quantitative analysis based on machine learning theory for determining the causes of natural wetland changes; it can be applied to large spatial scale areas, which is essential for a rapid monitoring of natural wetlands' resources and an accurate decision-making on the ecological environment's security.

Coupling Evaluation and Spatial-Temporal Evolution of Land Ecosystem Services and Economic-Social Development in a City Group: The Case Study of the Chengdu-Chongqing City Group

The Chengdu-Chongqing city group (CCCG) is one of the regions with acute human-land conflicts in China at present. The current rapid development of CCCG has caused a large negative impact on regional land ecosystem services. Land ecosystem is the basis of economic development. Reasonable economic development is also the inherent requirement of land ecosystem and an important support for land ecosystem protection. Promoting the coordinated development of the economy and land ecosystems is a prerequisite for this city group to achieve ecological protection and high-quality development. Taking CCCG as an example, this paper constructs a coupling evaluation model of economic-social development and land ecosystem service by using the entropy weight method, coupling coordination degree model, gravity center model, and standard deviation ellipse model, and explores the coupling coordination degree and spatial-temporal evolution rule of the above two systems. The study found that, from 2005 to 2020, the overall economic-social development of the CCCG showed an upward trend with a regular pattern of a 'High in the east and west, low in the central', and the 'dual-core' spatial structure with Chengdu and Chongqing as the core ; the overall performance of land ecosystem services had a gentle slope downward trend with a 'U'-shaped spatial pattern of "high around and low in the middle". The results also show that the coupling coordination degree of economic-social development and land ecosystem services in CCCG continues to rise steadily. Overall, the level of coupling coordination is low, and the type of coupling coordination has gradually evolved from severe and moderate imbalance to moderate coordination and mild imbalance. Therefore, the CCCG should make full use of the advantages of the "dual-core" cities to improve the level of peripheral economic linkage, increase investment in science and technology to enhance the endogenous power of economic development, establish cooperation mechanisms to narrow the urban gap, and integrate ecological resources to promote ecological industrialization to better realize the synergistic promotion of land ecological protection and high-quality economic development.

Exploring the Relationship between Ecosystem Services under Different Socio-Economic Driving Degrees

The large-scale transformation of natural ecosystems to socio-economic development land types under human activities was a primary reason for the decline of regional ecosystem services. It is a key issue for regional ecosystem planning and management to reveal the relationship between ecosystem services of different land use types under different socio-economic driving degrees. However, the current related research was not in-depth. Based on the land use data of Wuhan City in 1980, 1990, 2000, 2010, and 2020, this study classified land use into three categories according to the different degrees of human activities on natural ecosystem development: the land use of a natural ecosystem (LUNE), the land use of a productive ecosystem (LUPE), and the land use of a socio-economic system (LUSE). The InVEST model was used to simulate five ecosystem services (grain yield, water yield, carbon storage, habitat quality, and water purification), and the spatio-temporal distribution and functional transformation of the three land use types were analyzed. Results showed that with the intensified urban expansion in Wuhan, the LUSE types increased to 2.7 times that of the original. However, the natural land types basically maintained a stable area, coupling with the large-scale transformation between the LUPE and LUSE types. Land use change resulted in significant spatial changes of five ecosystem services, especially carbon storage and habitat quality. The correlation analysis indicated that the five kinds of ecosystem services mainly showed a synergistic relationship, meanwhile the LUSE type denoted the most significant correlation with ecosystem services among these three category types. This study indicated that besides the protection of natural ecosystems, the LUSE type would become the key land use type in the planning and management of improving regional ecological function.

Defining invasive species and demonstrating impacts of biological invasions: a scientometric analysis of studies on invasive alien plants in Brazil over the past 20 years

Despite biological invasions being widely recognised as an important driver of environmental change, lack of consensus regarding the definition of invasive alien species (IAS) and vagueness around the demonstration of their impacts limits knowledge and research in this field. In this study, a scientometric approach was used to analyse academic documents published between 2002 and 2021 in three databases with reference to invasive alien plants in Brazil. Despite the growing body of scientific literature in the area, only 10% of the publications provided some definition of invasive species. Of the 398 publications analysed, 23.6% found some type of damage caused by the invader and, of these, only 5% addressed economic or social damage. Only 17% of the publications proposed a method for controlling and/or mitigating biological invasions. The absence of clear terminology and the lack of focus on impacts limits understanding of IAS of plants in Brazil. Based on the present findings, future studies on IAS of plants should move towards a consensus on the definition of biological invasion, as well as understand the impact caused by these species. In addition, it is recommended that further scientometric studies should guide future efforts to support objective measures for management and decision-making.

Multi-Scenario Simulation of Ecosystem Service Values in the Guanzhong Plain Urban Agglomeration, China

Rapid urbanization and human activities enhanced threats to the degradation of various ecosystem services in modern urban agglomerations. This study explored the response of ecosystem service values (ESVs) to land use changes and the trade-offs among various ESVs in urban agglomerations under different future development scenarios. The patch-general land use simulation (PLUS) model and ESV calculation method were used to simulate the ESVs of Guanzhong Plain Urban Agglomeration under the Business As Usual scenario (BAU), Ecological Conservation scenario (EC), and Economic Development scenario (ED) in 2030. Global and local Moran’s I were used to detect the spatial distribution pattern, and correlation analysis was used to measure trade-offs among ecosystem services. The results showed that: (1) The simulated result of land use in Guanzhong Plain Urban Agglomeration showed high accuracy compared to the actual observed result of the same period, with a Kappa coefficient of 0.912. From 2000 to 2030, land use changes were significant, with the rapid decrease in farmland and an increase in construction land. The area of woodland increased significantly under the EC scenario, and the area of construction land increased rapidly under the ED scenario. (2) The decline of total ESV was CNY 218 million from 2000 to 2020, and ESVs remained the downward trend in the BAU and ED scenarios compared to 2020, decreasing by CNY 156 million and CNY 4731 million, respectively. An increasing trend of ESV showed under the EC scenario, with a growth of CNY 849 million. (3) Significant spatial autocorrelation showed in Guanzhong Plain Urban Agglomeration, as the Global Moran’s I were all positive and the p-values were zero. The ESV grids mainly showed “High-High” clusters in the mountainous areas and “Low-Low” clusters in plain areas. Except for food production, a majority of ecosystem services exhibited positive synergistic relationships. In future planning and development, policymakers should focus on the coordinated development of the urbanization process and ecological preservation to build an ecological safety pattern.

Evolutionary Overview of Terrace Research Based on Bibliometric Analysis in Web of Science from 1991 to 2020

Based on the Web of Science core collection database, this paper retrieves 349 research papers on terraced fields published during 1991-2020. Keyword co-occurrence analysis, cluster analysis, and thematic evolutionary analysis were used to identify the evolutionary path of terrace research. The findings were as follows: (1) In the past 20 years, the study of terraced fields has shown an upward trend. The number of annual published papers during 2012-2020 was much more than that during 1991-2011, but papers during 1991-2011 were more academically influential than those during 2012-2020. (2) Regional analysis showed that terrace research in China is the most abundant currently, and is mainly focused on agricultural production, agricultural engineering, cultural tourism, and ecological environment. (3) Keyword co-occurrence analysis showed that terrace landscape, terrace agriculture, terrace abandonment, land use change, soil and water conservation, and sustainable utilization of typical terraces are the main modules of current terrace studies. (4) In a temporal dynamic perspective, terrace research presented 10 main evolutionary paths during 1991-2020, reflecting the trend of terrace research towards sustainable terrace development of ecological agriculture and ecosystem service. (5) Finally, this paper suggests that here is a need to deepen studies on terrace ecosystem services and human well-being based on their structure and processes, to analyze the interaction and comprehensive effect of natural process and humanistic driving forces on terrace abandonment, and to explore the multi-functional benefits and sustainable management of high quality terraced landscape.

Assessing the Spatio-Temporal Pattern and Development Characteristics of Regional Ecological Resources for Sustainable Development: A Case Study on Guizhou Province, China

Sustainable development is a common challenge for all global economies, and the assessment of the spatial distribution and development process of ecological resources is the basis of sustainable development. Considering the heterogeneity of regional ecological resource endowment, it is necessary to conduct a targeted assessment for different regions. In this study, we selected Guizhou Province, which is rich in ecological resources, but has a fragile environment, as our study area, and cultivated land, woodland, grassland, and water resources were selected as critical evaluation indicators. Notably, we applied Kernel density analysis methods, based on the remote sensing data of 2000, 2005, 2010, 2015, and 2020, to explore the spatiotemporal distribution characteristics and evolution pattern of regional ecological resources. The results indicated that the evolution of ecological resource development in Guizhou could be divided into three phases: degenerative (2000–2005), recovery (2005–2015), and development (2015–2020). The spatial distribution of Guizhou’s ecological resource was shown to be heterogeneous in the north and south and more homogeneous in the middle regions. Guizhou has diverse land-use types, with obvious regional differences in land-use structure. Notably, even though the development of ecological resources in Guizhou has improved, the development and utilization degree of ecological resources is still low, and the ecological damage is serious. This study can be used as a scientific reference by policymakers and decisionmakers to develop new regulations for ecological resources protection and sustainable development in China. We suggest that different regions should adopt more detailed measures; particularly, it is important to establish a spatial governance system to promote ecological resources development in the context of local conditions.

A Bibliometric Analysis on the Effects of Land Use Change on Ecosystem Services: Current Status, Progress, and Future Directions

Land use changes cause significant alterations in the land surface structure and significantly impact ecosystem services. Research on land use change (LUC) and ecosystem services has become one of the hotspots of interdisciplinary research in ecology and geography. Based on 1860 publications collected from the Web of Science Core CollectionTM (WoS), the top authors, top organizations, top journals, and subject categories were discussed in detail. For the number of published articles, Sustainability ranks first with 86 publications, providing significant contributions in domain. The keywords could be classified into six categories: land use/land cover change, conservation, biodiversity, policies and programmers, environmental change, and agriculture. Citations and reference co-citations were analyzed, and popular literature and co-cited literature in the field were identified. In the discussion, we focus on four important issues, including land use area changes, land use pattern changes, land use spatial pattern changes, and land use changes at different scales. The research framework in the field and the shortcomings of existing research are discussed as well. The main aim of the paper is to assist researchers in identifying potential gaps in the research that should be addressed in future research.

Expressing carbon storage in economic terms: The case of the upper Omo Gibe Basin in Ethiopia

Terrestrial carbon storage is important for planning decisions regarding climate change. Therefore, modelling the spatial distribution of carbon storage and valuation can help restore the sustainability of the ecosystems. This study aimed at showing the spatial and temporal variations in carbon storage and valuation in the upper Omo Gibe Basin. Land use/cover and carbon pool data based on field data collection and laboratory analyses supported by GIS and remote sensing were used. The Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) software was used for modelling carbon storage. The Global voluntary carbon market price and Tropical Economics of Ecosystems and Biodiversity (TEEB) data were used for describing carbon storage in economic terms. ANOVA was carried out to detect significant differences in carbon stock correlation with parameters. The results show that the annual carbon stock declined by 0.37 t/ha and the carbon market declined from USD 25.04 billion in 1988 to USD 24.01 billion in 2018. The highest loss of carbon storage and valuation was found in forest land followed by grazing land. Moreover, carbon stock was positively correlated with NDVI and habitat quality (p < 0.05). Slopes did not affect carbon stock (p > 0.05). This study helps promote and enhance carbon trading.

Exploring the Global Research Trends of Land Use Planning Based on a Bibliometric Analysis: Current Status and Future Prospects

The land topic has generally become a major socioeconomic issue that currently attracts attention globally. To explore the issue, various countries devote much attention to land use planning. This paper searches the Core Collection of the Web of Science and collects 1771 land use planning articles published between 1990 and 2019. The R software, biblioshiny package, and CiteSpace are applied in this paper. The results show the following: (1) the number of papers related to land use planning has shown an overall growth trend, which can be divided into the following four stages: initial exploration, preliminary growth, stable development, and rapid development; (2) the United States is in an absolute leading position as the primary research force among developed countries. The top 3 countries related to international cooperation are the United States, China, and Italy; (3) land use planning, land use, GIS, urban planning, China, spatial planning and climate change are some high-frequency keywords used in land use planning; (4) the current research hot spots mainly focus on the relationship between land use spatial planning and regional planning, land informatization development, public participation, urban sprawl, and sustainable development; (5) the themes show 8 evolutionary paths related to the following four topics: ecosystem protection, climate and natural change, urban sprawl and agricultural development, and GIS development; (6) this paper proposes that strengthening integration within disciplines, introducing new theories and methods, and sustainable land use will become future research directions requiring more land use planning attention.

What Do We Know about Co-Working Spaces? Trends and Challenges Ahead

Co-working spaces (CWSs) have emerged as a distinctive phenomenon in the sharing economy. They are collaborative environments that feed innovation and creativity under the slogan “working alone together”. While policy makers and scholars were optimistic about their role in promoting entrepreneurial endeavours and fostering growth, the spread of the COVID-19 across the world has drastically changed the way we work, communicate, and navigate daily life. This study offers a comprehensive review of the existing literature on CWSs. To do so, a bibliometric analysis is proposed, combining the use of traditional bibliometric tools with science mapping techniques. A total of 118 documents are reviewed and the results are presented at two different levels: (1) descriptive analysis of the status of the research on a CWS and (2) its conceptual structure (topics and trends). The study concludes with some directions for future research. Specifically, based on the recurrent topics discussed up to date in the literature, it is possible to identify four key areas—i.e., geographical location, physical space, business models and inclusive communities—that are promising for research and that may bring useful insights for defining co-working’s place in a post-pandemic society.

Global Trends on Food Security Research: A Bibliometric Analysis

The issue of food security has been widely studied by the international community. To reveal the research situation as it pertains to food security objectively, this paper comprehensively utilizes bibliometrics techniques (i.e., Bibliometrix, VOSviewer, and CiteSpace) to explore the research status and development trends in the area of food security. The results show that: (1) food security research has shown an increasing trend during the past 30 years. The 2013–2019 period was shown to be an active period with a high yield of articles, which were published mainly in the developed regions of Europe and America. Particularly, the number of articles published in the United States was far ahead of other countries in the world. (2) Food security research involved agriculture, environmental science and ecology, food science and technology, and business economics. The research topic is an interdisciplinary subject with a good momentum of development and a large space remaining for research. (3) Climate change, poverty, gender, nutrition, and diet structure have been the focuses of food security research in recent years. Food security in China, India, and sub-Saharan Africa has attracted wide attention. (4) Food security research is becoming more and more mature. The research scope extended from food security to food security and water and land resource security. Research topics range from decentralized to systematic. (5) Food security research is likely to gain much attention in the future based on three pillars: food supply, food access, and food use. Sustainability and diversity of food supply, along with dietary restructuring and food conservation initiatives, are expected to be new trends in future research on land management.