Value Of Ecosystem Services Research Articles

Nature‐based shoreline protection in newly formed tidal marshes is controlled by tidal inundation and sedimentation rate

AbstractMany tidal marshes have been lost by past land use changes, but are nowadays increasingly restored and created to provide valuable ecosystem services such as nature‐based flood and erosion protection along estuarine shorelines. To be functional for flood and shoreline erosion protection, restored and created tidal marshes should develop erosion resistant sediment beds. Here, we investigated which factors drive the spatial variations in sediment strength and erosion resistance in a developing tidal marsh restoration site. Our results show that decreasing tidal inundation frequency, decreasing sedimentation rate, and better drainage led to stronger consolidation in deeper sediment layers. This consolidation resulted in greater sediment strength, quantified here by shear strength and penetration resistance. Generally, sediment strength was greater when sediment had higher bulk density, while a higher water and fine fraction (= clay and silt) content decreased sediment strength. Overall, all measurement locations were relatively erosion resistant, likely caused by the dense root network and cohesive sediment. To restore or create resilient tidal marshes for nature‐based flood and shoreline erosion protection, we should thus aim for sites with relatively low tidal inundation frequency, moderate sedimentation rates, and cohesive sediment mixtures of clay, silt, and sand, which are well drained and have potential for vegetation establishment. These conditions have a high likelihood of resulting in restored or created tidal marshes that contribute to nature‐based flood and shoreline erosion protection.

Investigating the Spatio-Temporal Evolution of Land Cover and Ecosystem Service Value in the Kuye River Basin

Land cover change influences the provision of regional ecosystem services, posing a threat to regional ecological security and sustainable development. The Kuye River Basin, a vital tributary of the Yellow River Basin, has experienced significant land cover changes due to intense human activity. Building on analysing the spatiotemporal evolution of land use cover and ecosystem service values from 1990 to 2022, this study predicted the land cover structure and ecosystem service value with two future scenarios, the NDC and the EPC, to provide insights into guiding sustainable policy interventions. We found the predominant land cover types were greensward and forest land, accounting for 67.22% of the total area. Forest land, greensward, and farmland have increased, while desert, water area, and other land types have decreased from 1990 to 2022. Forest land, greensward, farmland, and water areas are the main contributors to ecosystem service value in the Kuye River Basin. However, water area services have significantly decreased from 1990 to 2022. Under the NDC scenario, land development primarily relies on greensward and farmland, reducing forest and water areas and weakening the ecosystem’s regulatory and supporting functions. In contrast, the EPC scenario enhances ecosystem services by protecting critical ecological regions. Ecological protection measures significantly increase the ecosystem service values of the Kuye River Basin, and well-planned land use can effectively balance economic development with ecological preservation. This study provides scientific evidence to inform policies integrating ecological protection and economic growth, contributing to the sustainable development of the Kuye River Basin.

Ecosystem service values support conservation and sustainable land development: Perspectives from four University of California campuses

Urban landscapes homogenize our world at global scales, contributing to “extinction of experience”, a progressive decline in human interactions with native greenspace that can disconnect people from the services it provides. College age adults report feeling disconnected from nature more than other demographics, making universities a logical place to explore interventions intended to restore a connection with nature. This study surveyed 1088 students and staff across four university campus communities in Southern California, USA and used multicriteria decision analysis to explore their landscape preferences and the implications of those preferences for combatting extinction of experience. Our results suggest that perspectives of, and preferences for, different greenspace forms vary significantly (i.e., they are not perceived as substitutable). Support for native ecosystems, particularly coastal sage scrub (top ranked landscape) was generally high, suggesting that disaffection with wild nature is not particularly widespread. Programs for replacing turf grass lawns (lowest ranked landscape) with native plants were also well supported, but support for stormwater bioswales was more moderate (and variable). This may reflect their relative newness, both on university campuses and in urban spaces more generally. Not all members of campus communities preferred the same landscapes; preferences differed with degree of pro-environmentalism and university status (undergraduate student, graduate student, staff). Even so, all respondents exhibited landscape preferences consistent with at least one approach for combatting extinction of experience, suggesting that ecologists, engineers and urban planners have a viable set of generalizable tools for reconnecting people with nature.

Characteristics of spatial and temporal changes in ecosystem service value and threshold effect in Henan along the Yellow River, China

Ecosystem services (ES), which serve as the link between human activities and natural ecosystems, are crucial for maintaining ecological balance and supporting economic development. The Ecosystem Services Value (ESV) is an indicator used to quantifying ecosystem services. Accurately estimating the dynamics of ESV and the threshold effects of influencing factors is of great importance for the sustainable development of the region. This study constructs an ESV valuation model based on the equivalent factor method, incorporating construction land, and corrects the initial valuation results in three dimensions. By constructing a random forest model and integrating partial dependence analysis, Elevation, Evapotranspiration, Normalized Difference Vegetation Index, and the proportion of built-up land area were identified as significant factors in determining ecologically vulnerable areas within the study region. The results show that: (1) The total ESV in Henan along the Yellow River in 2000, 2005, 2010, 2015, and 2020 was 204.612 billion yuan, 249.775 billion yuan, 239.100 billion yuan, 234.868 billion yuan and 202.767 billion yuan, respectively. The overall trend of change is first growth and then decline, with spatial features remaining relatively stable, and ESV polarization becoming more pronounced. (2) The spatial clustering characteristics of ESV in Henan along the Yellow River are remarkable, and the cold and hot spot areas show a bidirectional expansion trend. The cold spot areas expand substantially around the construction land, whilethe hot spot areas show a small expansion around the western mountain areas and the vegetation areas along the Yellow River, but the overall growth is slower. (3) The main factors affecting ESV include three natural factors and one anthropogenic factor, namely evapotranspiration (ET), the proportion of built-up land area (POB), normalized vegetation index (NDVI) and elevation (ELEV). ESV is at a high level when ELEV>718 m, ET<90 mm, NDVI>0.7, and POB<25.67 % approximately. The study results can provide an important theoretical basis for the development of comprehensive ecological protection measures. Furthermore, they can contribute to the sustainable development of the Yellow River Basin.

Determining Priority Conservation of Endemic Palms in the Philippine Islands Using a Localized Conservation Priority Index

The mass production of palms for economic and cultural use in the Philippines leads to risk of extinction, genetic erosion, and biodiversity loss. This study aimed to identify top-priority endemic Arecaceae species in the Philippine Islands using a modified localized conservation priority index (LCPI), which considered factors such as distribution, harvesting risk, and economic and cultural use. A taxonomic list of 89 species was constructed, spanning 12 genera, with Calamus being the most speciose genus containing 25 endemic species. The LCPI assessment designated 31 high priority species for conservation, 24 as medium priority, and 34 as low priority. High-priority palms scored highly on the LCPI due to their limited distribution, high susceptibility to overharvesting, and significant economic and cultural value to local communities. The study reveals the diversity and importance of endemic Philippine palms needing urgent conservation efforts to sustain their valuable ecosystem services.

Exploring ecological compensation standards in the urbanization process: An ecosystem service value-based perspective

Understanding the spatiotemporal changes in ecosystem service value (ESV) under urbanization, as well as the supply–demand relationship between different regions, can provide a consultation for ecological compensation (EC) standards. Taking Suzhou, a typical city experiencing rapid urbanization in the Yangtze River Delta, as a case study, this paper analyzes the spatiotemporal changes in land use and ESV from 2000 to 2020. To quantify the ecosystem service flow (ESF), we apply the breakpoint formula and field strength model. Additionally, an EC standard is established, taking population, area and GDP into account while specifying compensation. The findings reveal that urbanization has led to a substantial increase in built-up land in Suzhou, accompanied by continuous reductions in farmland and water bodies. As a result, ESV decreased from 153.07 billion CNY to 138.81 billion CNY. Furthermore, the research identifies a spatial pattern where ESV increases with distance from the city center but decreases with distance from the lake center. This pattern suggests a directional flow of ESV from lakes to cities. Notably, ESF mainly occurs in the southwestern and central areas of Suzhou, with areas closer to Taihu Lake experiencing greater ESV transfer. The transfer value ranges from 5.11 and 32.57 billion CNY. There is an imbalance between the supply and demand of ecosystem services. Therefore, specific county-level cities in Suzhou, namely, the Kunshan District and Industrial Park, emerge as contributors of EC and should contribute 71.94 and 80.74 billion CNY, respectively, to other cities. By formulating a novel EC policy for Suzhou, this paper provides a scientifically informed reference for promoting sustainable development.

Assessing Ecosystem Services through a multimethodological approach based on multicriteria analysis and cost-benefits analysis: A case study in Turin (Italy)

Ecosystem Services (ESs) are benefits that humans derive from nature, including climate regulation, air and water purification, soil formation, and recreation. Currently, ESs are at the center of green city policies tackling sustainability challenges. Traditionally, ESs have been assessed using monetary estimations, Environmental Impact Assessments (EIAs), and Cost-Benefit Analysis (CBA). These methods are useful for integrating environmental aspects in land use planning but have practical limitations since they focus on analyzing biophysical values and economic benefits. Due to the value pluralism of the ESs concept, intangible/extra-economic elements and the plurality of perspectives of the different stakeholders involved need to be included. Within this context, Multicriteria Decision Analysis (MCDA) allows the consideration of multiple problem dimensions and accommodates value pluralism. Based on these premises and limitations, the present paper proposes the integration of CBA and MCDA to evaluate alternative project solutions for green roof installation. The multidimensional outputs from CBA and MCDA are combined in a common aggregation procedure called COSIMA. Starting from a real case in Turin (Northern Italy), this article illustrates the application of COSIMA from the point of view of the best trade-off on the preferences of users and investors. The study results show the suitability of COSIMA for integrating all ESs values (i.e., biophysical, sociocultural, and economic) in urban governance processes.

Spatial and temporal changes of ecosystem service value and its influencing mechanism in the Yangtze River Delta urban agglomeration

As the mainstream and trend of urban development in China, deeply exploring the spatiotemporal patterns and influencing mechanisms of ecosystem service value in the Yangtze River Delta urban agglomeration is of great significance for achieving sustainable development goals in urban agglomerations. This paper uses the normalized difference vegetation index and net primary productivity as dynamic adjustment factors to measure the ecosystem service value of the Yangtze River Delta urban agglomeration and analyze its spatiotemporal evolution characteristics. Furthermore, a panel quantile regression model is constructed to explore the response differences of ecosystem service value at different levels to various influencing factors. The results show that: (1) From 2006 to 2020, the ecosystem service value of the Yangtze River Delta urban agglomeration decreased by 37.086 billion yuan, with high-value areas mainly concentrated in the southern part of the urban agglomeration. (2) The value structure of various land type ecosystems and primary ecosystem sub-services in the Yangtze River Delta urban agglomeration is stable. (3) The number of grid units with reduced ecosystem service value is continuously increasing, mainly distributed in the eastern coastal areas. (4) The degree of interference of various types of land on ecosystem service value varies, and the response of ecosystem service value at different levels to the same influencing factor also shows heterogeneity. In summary, exploring the spatiotemporal patterns of ecosystem service value in the Yangtze River Delta urban agglomeration and analyzing its influencing mechanisms is conducive to adjusting the intensity of human utilization and protection methods of ecosystems, which is of great significance for enhancing the value of ecosystem products in urban agglomerations.

Evaluation of driving effects of carbon storage change in the source of the Yellow River: A perspective with CMIP6 future development scenarios

Understanding how future climate scenarios impact land use/cover (LUC) and carbon storage (CS) is crucial for achieving carbon neutrality. However, research often overlooks the spatiotemporal impacts of future climate and socioeconomic changes on CS. This study integrates system dynamic (SD), patch-generating land use simulation (PLUS), the integrated valuation of ecosystem services and tradeoffs (InVEST) model, and the geographical detector to assess the LUC and CS evolution in the source of the Yellow River (SYR) from 2020 to 2060. Utilizing carbon density and LUC data, we explored the influence of natural and socioeconomic factors on CS under five shared socioeconomic pathways and representative concentration pathways (SSP-RCPs) scenarios. Our findings demonstrate that: (1) Ecological land, including woodland, grassland, and wetland, expanded more under SSP126 compared to SSP245, with SSP345, SSP460, and SSP585 showing a trend of degradation tied to deeper economic contribution. (2) By 2060, CS in terrestrial ecosystem under SSP126, SSP245, SSP345, SSP460, and SSP585 were 702.33 × 106 t, 700.33 × 106 t, 697.22 × 106 t, 696.03 × 106 t, and 691.21 × 106 t, respectively. This represents changes of 3.69 × 106 t, 1.69 × 106 t, −1.49 × 106 t, −2.68 × 106 t, and −7.43 × 106 t compared to 2020. (3) Soil type predominantly influenced the spatial differentiation of CS, with significant interactions with precipitation. This research provides new insights into land redistribution, economic strategies, and achieving carbon neutrality.

Ada-XG-CatBoost: A Combined Forecasting Model for Gross Ecosystem Product (GEP) Prediction

The degradation of the ecosystem and the loss of natural capital have seriously threatened the sustainable development of human society and economy. Currently, most research on Gross Ecosystem Product (GEP) is based on statistical modeling methods, which face challenges such as high modeling difficulty, high costs, and inaccurate quantitative methods. However, machine learning models are characterized by high efficiency, fewer parameters, and higher accuracy. Despite these advantages, their application in GEP research is not widespread, particularly in the area of combined machine learning models. This paper includes both a GEP combination model and an explanatory analysis model. This paper is the first to propose a combined GEP prediction model called Ada-XGBoost-CatBoost (Ada-XG-CatBoost), which integrates the Extreme Gradient Boosting (XGBoost), Categorical Boosting (CatBoost) algorithms, and SHapley Additive exPlanations (SHAP) model. This approach overcomes the limitations of single-model evaluations and aims to address the current issues of inaccurate and incomplete GEP assessments. It provides new guidance and methods for enhancing the value of ecosystem services and achieving regional sustainable development. Based on the actual ecological data of a national city, data preprocessing and feature correlation analysis are carried out using XGBoost and CatBoost algorithms, AdaGrad optimization algorithm, and the Bayesian hyperparameter optimization method. By selecting the 11 factors that predominantly influence GEP, training the model using these selected feature datasets, and optimizing the Bayesian parameters, the error gradient is then updated to adjust the weights, achieving a combination model that minimizes errors. This approach reduces the risk of overfitting in individual models and enhances the predictive accuracy and interpretability of the model. The results indicate that the mean squared error (MSE) of the Ada-XG-CatBoost model is reduced by 65% and 70% compared to the XGBoost and CatBoost, respectively. Additionally, the mean absolute error (MAE) is reduced by 4.1% and 42.6%, respectively. Overall, the Ada-XG-CatBoost combination model has a more accurate and stable predictive performance, providing a more accurate, efficient, and reliable reference for the sustainable development of the ecological industry.

Determining the payment for ecosystem services of mangrove forests: The approach combining ecosystem services and social-economic level and application in Shankou National Nature Reserve, Guangxi, China

Mangrove wetlands are among the ecosystems with the highest value of ecosystem services worldwide. Determining the standards of payment for ecosystem services based on the value of ecosystem services is a crucial aspect of the socio-ecological feedback linked to ecosystem services. The gap between the current standards of payment for ecosystem services and those based on the value of ecosystem services may result in inadequate sustainability and effectiveness of ecosystem conservation and management. In view of this, this study aims to determine the standard of payment for mangrove ecosystem services based on the value of mangrove ecosystem services, and subsequently identify the gap in the current payment. This study assessed the value of mangrove ecosystem services in the Guangxi Shankou Mangrove Ecological National Nature Reserve based on the distinction of use value and the non-use value, and then calculated the standard of payment for mangrove ecosystem services by combining social-economic level. The results indicate that the establishment of the nature reserve has effectively increased the value of mangrove ecosystem services. However, the local residents' lack of awareness of the value of mangrove ecosystem services and the current standard of payment for mangrove ecosystem services is substantially low, which has resulted in a low willingness to participate in mangrove conservation.

Spatial spillover effects of ecosystem service values in northeast China tiger and leopard national park based on spatial Durbin model

National parks are public green spaces planned and managed by the state, with the primary purpose of protecting natural ecosystems and cultural heritage. Evaluating the Ecosystem Service Value (ESV) of national parks and clarifying their ecological benefits can provide important scientific basis for the ecological protection and restoration of national parks. Therefore, taking the Northeast China Tiger and Leopard National Park (NCTLNP) as the study area, this research constructs an ESV assessment model based on Land Use and Land Cover Change (LUCC), using vegetation net primary productivity（NPP）as a biomass correction factor to modify the Equivalent Factor Approach (EFA). It aims to explore the spatial–temporal pattern changes of the ESV in the NCTLNP from 2000 to 2022. Additionally, the Future Land Use Simulation (FLUS) model is utilized to simulate the future LUCC pattern and ESV evolution trend under ecological protection. Finally, the spatial Durbin model (SDM)is employed, combining socio-economic and environmental factors such as population, GDP, and PM10 and so on, to reveal the driving mechanism of spatial spillover effects of ESV in the NCTLNP. The results indicate that:①The accuracy of the FLUS model is 93.12% with a Kappa coefficient of 0.87. The main LUCC of the NCTLNP is forest. Before 2020, the ecological land had a shrinking trend, while impervious is in a significant increasing trend. After 2020, there is an opposite trend.The most significant changes in LUCC were found in Wangqing County and Hunchun City. ②The ESV of the NCTLNP shows a fluctuating and increasing trend from 2000 to 2022. It increased from 69.315 billion yuan to 69.809 billion yuan. The main service function of the ecosystem in the study area is the regulatory services, which provide 58.03% of the ESV to the NCTLNP. The Hunchun City and Wangqing County have the fastest increasing rate. ③The ESV of the NCTLNP had a significant negative spillover effect, with spatial spillover coefficients of −0.135 and −0.236, respectively, which led to a siphoning phenomenon in the NCTLNP. Overall, by assessing the ESV of the NCTLNP and revealing the spatial spillover effects in the study area, it can provide a vital scientific foundation for the conservation and management of the national park, which will help to fulfill the sustainable development of the ecosystem and the conservation of biodiversity.

Trends in habitat quality and habitat degradation in terrestrial protected areas.

Protected areas are typically considered a cornerstone of conservation programs and play a fundamental role in protecting natural areas and biodiversity. Human-driven land-use and land-cover (LULC) changes lead to habitat loss and biodiversity loss inside protected areas, impairing their effectiveness. However, the global dynamics of habitat quality and habitat degradation in protected areas remain unclear. We used the Integrated Valuation of Ecosystem Services and Trade-offs (InVEST) model based on global annual remotely sensed data to examine the spatial and temporal trends in habitat quality and degradation in global terrestrial protected areas. Habitat quality represented the ability of habitats to provide suitable conditions for the persistence of individuals and populations, and habitat degradation represented the impacts on habitats from human-driven LULC changes in the surrounding landscape. Based on a linear mixed-effects modeling method, we also explored the relationship between habitat degradation trends and protected area characteristics, biophysical factors, and socioeconomic factors. Habitat quality declined by 0.005 (0.6%) and habitat degradation increased by 0.002 (11%) from 1992 to 2020 globally, and similar trends occurred even in remote or restrictively managed protected areas. Habitat degradation was attributed primarily to nonirrigated cropland (62%) and urbanization (27%) in 2020. Increases in elevation, gross domestic production per capita, and human population density and decreases in agricultural suitability were associated with accelerated habitat degradation. Our results suggest that human-induced LULC changes have expanded from already-exploited areas into relatively undisturbed areas, and that in wealthy countries in particular, degradation is related to rapid urbanization and increasing demand for agricultural products.

Land use changes in the Min River basin and their impact on carbon storage

BackgroundThe changes in land use patterns may provide immediate economic advantages, but they also lead to significant disruptions in ecosystem services. These modifications have the potential to adversely impact water supply, air quality, disaster response, carbon storage, and biodiversity. Therefore, these modifications affect the provision of ecosystem services and have a negative effect on human well-being. Hence, it is crucial to investigate how land use changes affect carbon storage to enhance ecosystem services, lessen the consequences of climate change, advance human welfare, and direct effective land management practices. MethodsMin River Basin (MRB) is a significant water reservoir in China, providing valuable ecosystem services. Currently, the MRB is undergoing significant alterations in the land use due to country’s policy changes. Therefore, this study analyzed alterations in land use, dynamics of the alterations, and transfer matrix in MRB. The alterations in these indices were recorded for three time periods, i.e., 2000, 2010, and 2020. Furthermore, the influence of land use changes on carbon storage was investigated by InVEST (Integrated Valuation of Ecosystem Services and Tradeoffs) model. ResultsThe main land use classes in the MRB consisted of forest land, grassland, and arable land, and most of the alterations were recorded among these three classes. The arable land was declined by 163–333 km2, while grassland reduced by 23–233 km2 from 2000 to 2020. Likewise, forest land witnessed a decrease of 34–167 km2 from 2000 to 2020. The dominant land use dynamics consisted of construction land and water areas, whereas the entire land use dynamics exhibit a consistent increasing trend. Moreover, carbon storage witnessed a significant decrease during the study period due to the reduction in forest land, grassland, and arable land. ConclusionThe land use patterns in the MRB have witnessed substantial transformations because of recent policy implementations. Land use changes from forest land, arable land and grassland to other types exerted significant influence on carbon storage. Generally, carbon storage decreased from 2000 to 2020. The decline in carbon storage in the MRB is mostly attributed to urban growth, and construction activities. Therefore, these activities should be carefully monitored to improve carbon storage in the basin.

Land use transformation by urban informal settlements and ecosystem impact

The rapid expansion of informal settlements poses significant challenges to urban ecosystems and their services, a pressing issue that this study addresses by examining its impacts in Addis Ababa. This study delves into the impact of informal settlements on ecosystem services in Addis Ababa, comparing them with formal settlements. Utilizing geographic information systems (GIS) and remote sensing, it employed Landsat imagery, aerial photography, and base maps to track spatiotemporal changes and analyze trends. Through a GIS overlay approach, informal settlements and associated land use changes were identified, while the benefit transfer method assessed ecosystem service values. The findings revealed a significant increase in informal settlements on the city’s outskirts, expanding from 77 ha in 2009 (2% of the total area) to 765.6 ha in 2023 (21% of the total area). Nearly half (48.5%) of these informal settlements were established on previously natural land covers through encroachment. The research highlighted the ongoing conversion of agricultural land, forests, and urban green spaces into informal settlements, particularly on the city’s outskirts, leading to significant encroachment on these areas. This transformation caused an annual loss of $1,665,033.7 in ecosystem services from 2009 to 2023. Significant impacts were identified on food production, climate regulation, and habitat ecosystem services. Overall, the annual loss in ecosystem services due to land use changes amounted to $1,933,320.08. Informal settlements accounted for 86.1% of this total loss, highlighting the urgent need for targeted interventions to mitigate their disproportionate effects on ecosystem services. The study underscores the urgency of addressing the impact of informal settlements on ecosystem services through effective urban planning, sustainable land management practices, prevention of encroachment on natural land covers, and promotion of sustainable ecosystem management and utilization.

A method for evaluating ecosystem services that can be used for the management of nature-based solution projects: A case study of Shiosai-Nagisa in Tokyo Bay

The major challenges in nature-based solution projects are evaluating the various ecosystem services and managing the projects in a sustainable manner while also considering various social issues. Here, we propose a method that can simultaneously evaluate multiple ecosystem services of nature-based solution projects (e.g., environmental improvement projects) and their sustainability, and we apply this method to Shiosai-Nagisa in Tokyo Bay. This method has three steps: (1) scoring each ecosystem service based on field data, (2) estimating the permissible economic value (i.e., the acceptable cost in monetary terms) of public works for each service in the reference value condition (service score = 100 points), and (3) calculating the economic value of each ecosystem service by using the service score and the permissible economic value of public works. Service scores are calculated from the present status and the likely near-term future status. This future status is obtained from a trend score and pressure and resilience scores, the latter of which represent environmental factors that can positively or negatively impact services. Since the service scores are related to environmental factors, the economic value obtained by this method is also related to environmental factors. Sustainability scores can also be evaluated using the likely near-term future status. As a test case, the method was applied to the management of an actual environmental improvement project. For ecosystem services with a negative sustainability score, we identified the environmental factors that contribute to negative sustainability and confirmed that improving those factors would improve the service index, sustainability score, and economic value. These results suggest that this method can be used to compare various project values and help project managers and stakeholders to better understand and visualize ecosystem services.

Spatio-temporal characteristics and multi-scenario simulation analysis of ecosystem service value in coastal wetland: A case study of the coastal zone of Hainan Island, China

Coastal wetland ecosystems harbor rich biodiversity and possess significant ecosystem service value (ESV). Therefore, it offers a range of crucial ecosystem services (ES) for human well-being and socio-economic development. Taking the Hainan Island coastal zone (HICZ) as a case study, the spatio-temporal characteristics of land use and land cover change (LULCC), and its associated ESV in wetland landscapes were analyzed over three time points (2000, 2010 and 2020). We explored the spatio-temporal evolution trajectory of ESV on the basis of geo-information tupu. Then, future land use simulation (FLUS) was employed to predict wetland patterns and ESV under three different scenarios: business as usual (BAU), ecological conservation first (ECF), and economic development first (EDF). The results showed that over the past two decades, a significant proportion (exceeding 80%) of the overall wetland region was comprised of offshore and coastal wetlands (OCW) as well as constructed wetlands (CW); these formed the matrix of the landscape. The area of building land (BL) continued to exhibit a consistent upward trend. Expanding by 2.18 times, it represented the most significant increase in the rate of dynamic changes in BL. The main ES in the HICZ corresponded to the regulation services (53.57%) and the support services (27.58%). The ESV of wetland losses accounted for 45.17% (43.08 × 108 yuan) of the total loss. The spatial differentiation of ESV in the HICZ was larger in the southwest and the northeast regions, while it was comparatively lower in the north. The transformation in the area of early and late change types accounted for 236.46 km2 and 356.69 km2, respectively. The scenario ECF was achieved with an optimal development of ESV (1807.72 × 108 yuan), which was coordinated with the high-level of development of regional ES functions and the economy. These findings provide valuable information for the sustainable development as well as the protection of ecology and environment of the coastal zone under the background of the construction of Hainan pilot free trade zone in the future.

Multiscale spatiotemporal characteristics and influencing factors of ecosystem service value of groundwater in China

Ecosystem services are fundamental to human survival on Earth, but studies on ecosystem service value of groundwater (ESV-G) are rare. The multiscale characteristics and influencing factors of ESV-G in China from 2000 to 2020 were analyzed in this study. The results showed that ESV-G decreased first and then increased, the average ESV-G was 130.30 thousand yuan/km2, and ESV-G tended to shift towards middle level (second to fourth class). The Hu Line was the dividing line between the first class (more than half area) and the others. The AI and FRAC values indicated that the patches of ESV-G were more concentrated, with simpler shapes that were more amenable to governance at the province scale. Hot spots and cold spots were mainly located in the eastern and western parts of Hu Line, respectively. The ESV-G of the cold spots per unit area at the province scale was higher than that at the city scale, which indicated that the province scale had the potential for higher ESV-G per unit area and cost advantage. Precipitation and temperature were the main factors affecting ESV-G; the influence of human activities on ESV-G increased on a larger scale as time went by. Combination of precipitation and Digital Elevation Model (DEM) had the greatest influence on ESV-G among the combinational influencing factors. The province scale was the optimal scale to manage ESV-G. Climate change had led to the expansion of hot and cold spots of ESV-G, northern and southern areas should combine existing policies to carry out differentiated governance. This study extended the scope of ecosystem service value studies from land surface to underground, providing a scientific basis for the management of groundwater ecosystem.

Spatial multi-objective optimization towards low-carbon transition in the Yangtze River Economic Belt of China

ContextIn the context of urbanization and climate change, optimizing land use patterns is fundamental for sustainable regional development and low-carbon transition. However, achieving sustainable land use patterns that support a low-carbon transition while maintaining economic prosperity remains challenging.ObjectivesOur goals are to develop a model for low-carbon transition and explore strategies for optimizing land use given future land use constraints.MethodsWe propose a multi-objective optimization approach to explore land use transitions towards low carbon by considering emissions reduction, ecological protection, and economic development, taking Yangtze River Economic Belt of China was selected as a case study area for empirical research.ResultsOur research on Yangtze River Economic Belt of China from 2000 to 2020 reveals that the refined land use strategies, aiming at achieving a low-carbon transition by 2035, have the capacity to substantially reduce carbon emissions. Simultaneously, these strategies ensure the preservation of a higher ecosystem service value and enhance economic advantages. Our multi-objective optimized land use patterns reduce the emission growth by nearly 5% compared to the baseline. Meanwhile, our multi-objective optimized land use patterns demonstrate a nearly 7% growth rate in economic benefits and the ecosystem service value also shows slight improvement. Recognizing regional variations in sustainable land use patterns, we recommend customized local guidance towards aligning with these optimal outcomes.ConclusionOur study offers valuable policy insights for regional land use to facilitate a low-carbon transition, which can contribute to navigating the trade-offs between carbon reduction, ecological protection, and economic prosperity.

The Territorialization of Cultural Heritage as an Opportunity for Its Adaptive Reuse From the Tourist Management

ABSTRACT Considering the territory as an expansive dimension of heritage offers a unique opportunity to promote both the conservation of assets and the development of the surrounding area. However, heritage often remains isolated from the holistic management of tourist destinations, failing to integrate as a “living” element. To address this issue, the study proposes a conceptual delimitation that takes into account the services provided by various facilities within the space and their uses. By analyzing the interdependencies between heritage and the territorial system, inspired by ecosystem service evaluation, a methodology is applied to the sculpture “Elogio del Horizonte” in Gijón, Spain. The results establish an initial delimitation for the case study, providing a foundation for identifying needs and generating proposals. This method aims to guide decision-making in heritage management in the tourism sector, going beyond mere economic profitability and prioritizing the community's needs.