High Ecosystem Services Research Articles

Ecological risks linked with ecosystem services in the Upper Reach of the Yellow River under global changes

There is growing interest in introducing ecological risks (ERs) and ecosystem services (ESs) into environmental policies and practices. However, the integration of ESs and ERs into actual decision-making remains insufficient. We simulated the spatiotemporal dynamics of ESs (e.g., carbon storage, water yield, habitat quality, and soil conservation) and ERs in the upper reach of the Yellow River (URYR) from 2000 to 2100. Additionally, we explored their relationships by combining the InVEST model and a landscape ecological risk model with CMIP6 data. Our main findings showed that regional ERs change in response to land use and environmental dynamics. Specifically, the ER area decreased by 27,673 m2 during 2000-2020, but it is projected to increase by 13,273, 438, and 68 m2 under the SSP1-2.6, SSP2-4.5, and SSP5-8.5 scenarios, respectively. We also observed remarkable spatial differences in ESs and ERs between past and future scenarios. For instance, the source area of the URYR exhibited high ESs and low ERs (P<0.001), while the ESs and ERs are declining and increasing, respectively, in the northeastern URYR (P<0.05). Finally, we proposed a spatial optimization framework to improve ESs and reduce ERs, which will support regional sustainable development.

Mapping and assessing marine ecosystem services supply in the Baltic Sea

Coastal and marine ecosystems supply multiple Ecosystem Services (ES). Nevertheless, these ecosystems are among the most impacted by human activities, harming the ES sustainable supply. Since ES are a spatial phenomenon, mapping can contribute to understand ES supply. For this, we use quantitative spatio-temporal frameworks to map and assess the supply of one provisioning (food from fisheries) and two regulating ES (nursery habitats and nutrient regulation), considering two periods: Baltic Sea Holistic Assessment (HOLAS) 2 (2011–2016) and 3 (2016–2021). The ES supply was assessed following a process-based modelling approach, using bio-physical indicators as proxies. The three ES models were applied and validated, showing moderate results. For fisheries and nursery ES the results showed a significantly higher supply in HOLAS 3 than in 2, and for nutrient ES the opposite. This indicates that the assessed ES changed due to environmental activities. The Anselin Local Moran's results showed that most ES index values aggregate in the High-High cluster; Moran's I and semi-variogram results showed a clustered pattern; and the Getis Ord* analysis showed that hot and cold spots corresponded to high and low supply areas. For fisheries, high ES supply areas were located in the central-southern part of the Baltic Sea, while low-supply regions were located in the northern part. For nursery ES, high supply areas were located in the southwestern Finnish and western Estonian coasts. For nutrient ES, high supply areas occurred in the central- and eastern-southern parts close to the coast. Correlations showed a statistically significant negative correlation between fisheries and nursery ES and a significant positive correlation between fisheries and nutrient ES. No statistically significant correlations were observed between nursery and nutrient ES supply. The results obtained are essential to support coastal and marine management and planning in the Baltic Sea as well as international environmental policies and directives.

Assessing the Relative and Combined Effect of Climate and Land Use on Water-Related Ecosystem Services in the Yangtze River Economic Belt, China

The ecosystem service (ES) is essential for residents’ health and well-being. The ecosystem service value (ESV) is one of the measures to scientifically quantify the wealth of ESs. However, climate and human activities intensely affect the sustainability of ESs. Therefore, knowing the relative and combined effects of climate and human activities on ESs and ESV can be crucial. This study selects the Yangtze River Economic Belt (YREB) as the study area to detect how climate and human activities affected the ES and ESV changes during 2001–2020, including net primary productivity, water yield, soil retention, water purification, and integrated ESV. The results show that the southern YREB has relatively higher ESs than the northern YREB, except for the NDR-P, which is mainly located in the urban agglomeration area. The general ranking for the ESV of different provinces in the YREB is sequenced from higher to lower as Sichuan, Yunnan, Hunan, Jiangxi, Guizhou, Hubei, Zhejiang, Anhui, Jiangsu, Chongqing, and Shanghai. Specifically, the ESV of Sichuan is the highest at about 972 billion yuan (133.57 billion USD), while the lowest ESV has been discovered in Shanghai at approximately 0.25 billion yuan (0.03 billion USD). It can be noticed that the regions where climate is the major influencing factor for ESs are concentrated upstream of the YREB, and human activities mainly influence ESs in highly urbanized areas. Furthermore, climate and human activities account for the highest proportion (86%) of synergistic effects for ESV in Yunnan. In contrast, Jiangsu, Zhejiang, and Shanghai accounted for the lowest proportions, at 18%, 26%, and 31%, respectively. This study may provide crucial insights into how ESs and ESV in the YREB have changed during the study period to inform policymakers, drawing more attention to the inhibitory and synergistic effects arising from the interaction between climate and human activities, to make more reliable decisions on adapting to climate crises in the future.

Quantifying habitat and biodiversity services and hotspots of Indian forests: A GIS-Based assessment

The present study attempted to quantify and value of supporting services of India's forest ecosystem. The supporting services comprises by habitat and biodiversity services across India's sixteen forest types was estimated using data for various factors through Remote Sensing and secondary sources as per the proposed model. Indicators were combined using an Analytical Hierarchical Process, and various class of each service was also estimated using the equal interval method in QGIS. Hotspot analysis was used to identify key areas for forest conservation. The results suggest that littoral and swamp forest had maximum habitat services and tropical semi-evergreen forest had maximum biodiversity service and tropical wet evergreen forest had maximum supporting services. Out of total forest of country, 11.52%, 17.48% and 10.34% forest area was having high value for habitat, biodiversity and supporting service, respectively. Hotspot analysis revealed that 22.93%, 23.61% and 26.44% Indian forest had high habitat, biodiversity and supporting service, respectively. The annual per hectare economic value using Benefit Transfer method for habitat, biodiversity and supporting services of forests was US$ 4330.71, US$ 5987.38 and US$ 10,624.23, respectively. The annual economic value of habitat, biodiversity and supporting services from Indian forests was US$ 303,506.09 million, US$ 419,609.45 million and US$ 744,570.85 million, respectively. In totality, tropical dry deciduous forest, tropical moist deciduous and tropical semi-deciduous forest had high economic value for supporting service. Monetary valuation of forest ecosystem services assists to determine the net present value and costs for conservation interventions. Biodiversity hotspots as the Western Ghats, Indo-Burma region, and Eastern Himalayas offer high ecosystem service and thus attach prime importance for conservation, while the Western Himalayas, with lower ecosystem service, requires customized ecosystem management strategies.

Banking on ecosystem services

The COP 15 of the UN Convention on Biological Diversity emphasised the need to monitor, evaluate, and disclose the risks and dependencies of financial institutions on biodiversity. In the light of this context, our paper focuses specifically on banks and is framed by the following overarching question: to what extent have banks identified, integrated, measured, and disclosed their dependency and exposure to ecosystem services (ES)? The literature on finance and biodiversity provides various arguments highlighting the urgency and significance of understanding and disclosing banks' ES risk exposure. Despite numerous public and/or private initiatives, banks have been slow to evaluate and integrate their dependency on ES, and related risks, into their operations and performance. Using data from the ten largest European banks, we estimate that for every dollar of equity holding, 26 cents are potentially exposed to high ES dependencies. This figure should be regarded as a lower estimate of the total banks' exposure to ES dependency. To make progress, we argue that banks must become champions of ES to ensure their own resilience and financial sustainability. Governance plays a key role, and we suggest several measures to accelerate this transition.

Regional comparison of the structure of human well-being related to ecosystem services in coastal areas of Japan: possible effect of anxiety unique to the ria coast

People living in coastal areas have the advantage of accessing a high level of ecosystem services, but are also exposed to the dangers inherent in living by the sea in an area prone to natural disasters. To achieve sustainable utilization of the high ecosystem services of coastal areas, establishment of an effective marine policy based on regional characteristics of human–nature interactions is essential. We compared the structure of perceived satisfaction for five components of human well-being (‘Security’, ‘Basic material for a good life’, ‘Good social relations’, ‘Health’, and ‘Freedom of choice and action’) derived from coastal ecosystem services among three sites in Japan (Wakasa, Sanriku, and Shima) that share the same natural and social backgrounds: highly dependent on fisheries industry, located in the same climate regime (temperate zone), and have similar topographical features (ria coast). Structural equation modeling using the results from questionnaire surveys showed that the three sites shared a common basic structure of the interactions among the five components of human well-being. However, the intensity of interactions among components differed among the three sites. Questionnaire surveys on anxiety about natural disasters and future access to marine ecosystem services were simultaneously conducted at the three sites. The site-specific anxieties were responsible for the difference in the interactions among the five components of human well-being. We propose a method that quantitatively evaluates both positive (satisfaction) and negative (anxiety) aspects of respondents’ subjective assessment as a useful tool for understanding the diversity of human–nature interactions caused by the region-specific natural and social backgrounds of coastal areas.

Shifting from techno-economic to socio-ecological priorities: Incorporating landscape preferences and ecosystem services into the siting of renewable energy infrastructure.

This study examines the siting scenarios for renewable energy installations (REI) in a mountainous region of Europe (Switzerland), incorporating the external costs of ecosystem services and, innovatively, social preferences. This approach challenges the prevalent techno-economic siting paradigm, which often overlooks these externalities. To minimize the external costs of the scenarios while maximizing energy yield, Marxan, an optimization software, was employed. The energy target for all scenarios is set at 25 TWh/a, stemming from the energy gap anticipated due to the phase-out of Swiss nuclear reactors by 2050. This target is met using renewable energy infrastructure such as wind, roof-mounted photovoltaic, and ground-mounted photovoltaic systems. By integrating social preferences into the optimization, this study showcases a promising implementation that transcends the software's intended applications. It complements techno-economic approaches and offers alternative decision-making avenues. The conventional "roof first" strategy proved ineffective in preventing extensive land use for the development of new renewable energy infrastructure. Strategies incorporating ground-mounted photovoltaic infrastructure were more spatially, ecologically, and socially efficient than those without. The strategy optimized for energy yield exhibited the highest spatial efficiency but incurred significant ecosystem service costs and, surprisingly, had low social costs. In contrast, the strategy prioritizing ecosystem services was the most efficient in terms of ecosystem service costs but had elevated social costs and was spatially less efficient than other strategies. The strategy optimized for social preferences incurred the lowest social costs and excelled in spatial efficiency and ecosystem service costs. Notably, this strategy employed a limited number of planning units linked to both high ecosystem service and social costs. The findings underscore that incorporating social preferences significantly enhances the evaluation of siting options. This inclusion allows for the social acceptance of investments to be factored into costs, facilitating more informed and inclusive decisions.

Accounting for uncertainty in marine ecosystem service predictions for spatial prioritisation

AbstractAimSpatial assessments of Ecosystem Services (ES) are increasingly used in environmental management, but rarely provide information on the prediction accuracy. Uncertainty estimates are essential to provide confidence in the quality and credibility of ES assessments for informed decision making. In marine environments, the need for uncertainty assessments for ES is unparalleled as they are data scarce, poorly (spatially) defined, with complex interconnectivity of seascapes. This study illustrates the uncertainty associated with a principle‐based method for ES modelling by accounting for model variability, data coverage and uncertainty in thresholds and parameters.LocationTauranga, New Zealand.MethodsA sensitivity analysis was applied on ES models for marine bivalves (Austrovenus stutchburyi and Paphies australis) and their contribution to Food provision, Water quality regulation, Nitrogen removal and Sediment stabilisation. ES estimates from the sensitivity analysis were compared against baseline ES predictions. Spatial uncertainty patterns were analysed for individual ES through bi‐plots and multiple ES through spatial prioritisation using Zonation.ResultsOur study showed spatially explicit differences in uncertainty patterns for ES and between species. Food provision had highest maximum uncertainty (&gt;5 points) but also the largest area of high ES and high certainty conditions. Zonation analysis conducted on baseline and conservative ES values showed overall robust outcomes of top 30% area, but important nuances through shifts in top 5% and 10% areas that allowed for a consistently better representation of ES when accounting for uncertainty.Main ConclusionsThe spatial prioritisation in combination with the ES uncertainty biplots provide tools for spatial planning of individual and multiple ES to focus on area of highest value with highest certainty and can thereby help reduce risk and aid decision‐making at acceptable confidence levels. This type of information is urgently needed in marine ES assessments and their management, but likewise extends to other environments to improve transparency.

New practices of land-sea coordination in coastal zone ecological security integration: A case study of Nantong

Coastal development strategies and land-sea coordination has made a close connection between the sea and the land, and the coastal zone has become a whole entity. In this study, we established the ecological security integration pattern (ESIP) of the coastal zone in Nantong based on the land-sea coordination and connectivity. We selected the main coastal zone ecosystem service (ES) evaluation indices, calculated the ecological risk to validate the ES evaluation results, and explored the mechanisms driving ESs using multiscale geographically weighted regression. Ecological sources relies on rivers, tidal flats, and areas with high ES to construct an ecological corridor from land to sea. Ecological risk had a significant negative correlation with ES. The six driving factors selected had a positive and negative influence on the ecological sources equal to ES; An ESIP of two belts, two channels, and one river network was constructed across the land and sea boundaries, and the effect of driving factors on ES was integrated to provide suggestions for the future ESIP. This study of an ESIP evaluation system in Nantong reflects the new practice of land-sea coordination, which not only enriches the ecological security evaluation system, but also provides novel ideas for realizing ecological protection and restoration in coastal zones.

Construction of multi-level ecological security network in fragmented nature landscape using the three-dimensional framework of ecological adaptability

As the basis for constructing ecological security network, the ecological source has been broadly understood as larger patches that provide important ecosystem services and high comprehensive habitat quality. But the traditional methods for identifying ecological source (e.g. selecting natural vegetation patches and connectivity analysis) are not suitable for the Yanhe River Basin due to its fragmented patches and high vegetation cover. With the progress of research, the multidimensional evaluation framework is used to extract ecological source to mine more function and characteristic of ecosystem. Considering the fragmented nature of patches and the rapid recovery characteristics of vegetation in the Yanhe River Basin, a comprehensive evaluation model was developed based on the three-dimensional framework of ecological adaptability cycle (potential-resilience-connectivity) to extract ecological source. Additionally, due to the insufficient size of the extracted ecological source area to meet the increasing demand for ecosystem services in the future, the potential patches with high ecosystem services and large distribution were considered as secondary ecological source, and the patches with weak connectivity but high potential resilience were as considered tertiary ecological source. Finally, the ecological corridors were delineated based on the three ecological sources and the selected ecological resistance surface. The primary ecological sources were predominantly located in the central region, where grassland was the dominant land use type. The secondary ecological sources were mainly distributed in the southern woodland belt with the highest ecological services, but further enhancements to these services were unattainable. The tertiary ecological sources were mainly distributed in the western region and represented high-quality potential targets for future ecological source expansion. Therefore, it is recommended to give priority to the construction of a primary ecological corridors. The secondary ecological corridors exhibit the lowest comprehensive resistance, and can be constructed concurrently with the primary ecological corridors. Given its highest total comprehensive resistance, construction of tertiary ecological corridors should be contingent upon economic feasibility.

Research on the Spatiotemporal Dynamic Relationship between Human Activity Intensity and Ecosystem Service Value in the Three Gorges Reservoir Area

The Three Gorges Dam project and other human activities, including regional urbanization and industrialization, have had a substantial influence on the biological environment of the Three Gorges Reservoir Area (TGRA). They have changed the surface land use pattern, disrupted ecosystem structure and function, and influenced changes in the value of ecosystem services. The human activity intensity (HAI) assessment model, the ecosystem services value (ESV) assessment model, and the bivariate spatial autocorrelation model were used based on the spatiotemporal evolution data of towns along the Yangtze River in the TGRA in 1995, 2000, 2005, 2010, 2015, and 2020. At the same time, the spatiotemporal impact of the HAI on land use patterns was evaluated and the magnitude of the spatiotemporal influences on the ESV was investigated. The findings demonstrate the following: (1) The TGRA’s higher reaches are occupied by forested land, while the middle and lower portions are characterized by agricultural land. Land change in the reservoir region has mostly featured transitions between wooded land, agricultural land, grassland, and building land during the last 25 years. Because of differences in natural geography and administrative divisions, the intensity of human activity in the TGRA changes throughout the Yangtze River, with higher intensity in Chongqing and lower intensity in Hubei. By comparing the ESV and the HAI and validating with Moran scatter plots, it was determined that there is a negative relationship between the value of ecosystem services and the intensity of human activities. (2) The ESV rose from CNY 1017.16 × 108 in 1995 to CNY 1052.73 × 108 in 2020, suggesting that the policies of converting farmland back into forests, eliminating outdated production capacity, and developing green industries, among other ecological conservation measures, are effective. (3) In the research area, the effect coefficient of HAI on ESV ranges from −0.02 to −0.032 to −0.031. This coefficient represents the correlation between the HAI and ESV and can preliminarily judge the change in the degree of correlation between the HAI and ESV. The increase in HAI leads to a decrease in the value of ecosystem services, and there is a clear negative spatial correlation between the two. The low human activity area and low ecosystem service value area in the Chongqing section have been transformed into a high ecosystem service value area through years of returning farmland to forest and ecological management measures for sustainable development.

A framework for integrating ecosystem service provision and connectivity in ecological spatial networks: A case study of the Shanghai metropolitan area

Ecological spatial networks (ESNs) that integrate ecosystem service (ES) provision and connectivity can address the challenges of fragmented ecological space and declining ES provision in metropolitan areas worldwide. While methods focusing on ES provision or connectivity in ESN planning have been established, a comprehensive method is still lacking. This study employed a synthesis of the spatial prioritization analysis method and complex network theory to propose an ESN planning framework: building ESNs by connecting ecological sources that exhibit high ES provision, creating four prioritization scenarios by integrating the two objectives, and dynamically simulating the network to identify a set of performance-optimal scenarios. The results showed several overlapping areas between scenarios prioritizing ES provision and prioritizing connectivity, allowing for multi-objective win-win outcomes. It is recommended to prioritize ES provision at thresholds of 39 % and 50 % of ESN areas, while overall, the importance of ecological source connectivity should be emphasized. Different optimal scenarios were observed at different thresholds, which highlights the need to identify ESN priority areas for achieving multiple objectives with limited resources. Furthermore, optimal scenarios provided planners with targeted planning strategies and management implications across multiple dimensions. The ESN planning framework is applicable to other intensely developed metropolitan areas, offering sustainable and resilient solutions to effectively achieve multiple objectives.

FunBies, a model for integrated assessment of functional biodiversity of weed communities in agro-ecosystem

Agrobiodiversity, by producing beneficial ecosystem services (ESs), could improve the sustainability of cropping systems. There is a number of studies reporting the use of indicators for quantifying ESs. However, there are no indicators which might be applied at local scale and allowing an integrated assessment of a wide range of ESs in agro-ecosystems. The objectives of the present research were: (i) to describe a model for integrated assessment of functional biodiversity in agro-ecosystems, denominated FunBies, (ii) to show how it was validated, and (iii) to present results of its application. FunBies is featured by an empiric model component, a conceptual component that takes into account the whole range of ESs identified by the Millennium Ecosystems Assessment and by a multi-criteria linear additive model including the whole set of functional traits potentially supplied by herbaceous plant communities. The model was validated by a panel of experts. Results at cropping system level indicated that organic systems have the potential to supply considerably higher ESs than conventional systems. ES provision increases in time together with the evolution of the phytocoenosis. FunBies potential applications include: (i) design of biodiversity components within agro-ecosystems, and (ii) justification and sizing of organic payments.

How do mountain ecosystem services respond to changes in vegetation and climate? An evidence from the Qinling Mountains, China

Ecosystem services (ESs) have been widely used in the management and protection of regional ecosystems. Among the numerous influencing factors, climate and vegetation are important factors affecting ESs. Nevertheless, unraveling the intricate and non-linear relationship between ESs and the fluctuations in climate and fractional vegetation cover (FVC) remains an elusive task, particularly within the intricate and dynamic context of mountainous terrains. Therefore, the Qinling Mountains (QL) was selected as the study area, four major ESs (habitat quality, water yield, carbon sequestration and soil conservation) were quantified, and two key points (threshold point and critical point of high ESs supply) were determined by elastic analysis and constraint line respectively. The results showed that the influence thresholds of temperature and FVC on ESs were 13.2 °C and 57%, respectively. The results of constraint line showed that ESs is maintained at a high level when the temperature < 11.04 °C, the precipitation > 840 mm, and the FVC > 57%. According to the threshold points and critical points of high ESs supply, sensitive areas and high ESs supply areas were divided respectively. In addition, based on the above two regional divisions, we obtained an ecosystem management planning map of the study area and put forward corresponding practical suggestions for different regions. This study satisfies the docking of the research results and practical decision-making requirements and provides a theoretical scientific basis for the restoration and sustainable management of ecological environments.

Co-occurrence of biodiversity, carbon storage, coastal protection, and fish and invertebrate production to inform global mangrove conservation planning

Mangrove forests support unique biodiversity and provide a suite of ecosystem services (ES) that benefit people. Decades of continual mangrove loss and degradation have necessitated global efforts to protect and restore this important ecosystem. Generating and evaluating asset maps of biodiversity and ES is an important precursor to identifying locations that can deliver conservation outcomes across varying scales, such as maximising the co-occurrence of specific ES. We bring together global datasets on mangrove-affiliated biodiversity, carbon stocks, fish and invertebrate production, and coastal protection to provide insight into potential trade-offs, synergies and opportunities from mangrove conservation. We map opportunities where high ES provision co-occurs with these areas that could be leveraged in conservation planning, and identify potential high-value opportunities for single ES that might otherwise be missed with a biodiversity focus. Hotspots of single ES, co-occurrence of multiple ES, and opportunities to simultaneously leverage biodiversity and ES occurred throughout the world. For example, efforts that focus on conserving or restoring mangroves to store carbon can be targed to deliver multiple ES benefits. Some nations, such as Vietnam, Oman, Ecuador and China, showed consistent (although not necessarily strong) correlations between ES pairs. A lack of clear or consistent spatial trends elsewhere suggests that some nations will likely benefit more from complementarity-based approaches that focus on multiple sites with high provision of different services. Individual sites within these nations, however, such as Laguna de Terminos in Mexico still provide valuable opportunities to leverage co-benefits. Ensuring that an ES focused approach is complemented by strategic spatial planning is a priority, and our analyses provide a precursor towards decisions about where and how to invest.

Integrating decision-making preferences into ecosystem service conservation area identification: A case study of water-related ecosystem services in the Dawen River watershed, China

The degradation of ecosystems and their services is threatening human wellbeing, making ecosystem service (ES) conservation an urgent necessity. In ES conservation planning, conservation area identification is crucial for the success of conservation initiatives. However, different decision-making preferences have not been fully considered and integrated in ES conservation area identification. This study takes the Dawen River watershed as the study area and considers three water-related ESs to be conserved. We aim to integrate the decision-making preferences of cost-effectiveness, ES sustainable supply, and ES social benefit into identifying ES conservation areas by using conservation cost, ecosystem health, and ES social importance as spatial constraints, respectively. We identified ES conservation area alternatives under the scenarios set according to different decision-making preferences. Specifically, ES conservation targets, i.e., the expected proportion of each ES in conservation areas, are designed to be met where there is low conservation cost (cost-oriented scenario), high ecosystem health (ES sustainable supply scenario), or high ES social importance (ES social benefit scenario). A balanced scenario considering all three decision-making preferences together is further established. The results show that under each scenario, the identified conservation areas can concurrently meet the conservation targets and decision-making preferences. The consideration of different decision-making preferences can greatly influence the spatial distributions of ES conservation areas. Moreover, a severe trade-off between conservation cost and ES social importance is observed under the ES social benefit scenario, and the balanced scenario can achieve a synergy of decision-making preferences. Our study provides a method to integrate the decision-making preference into ES conservation area identification, which can improve the rationality and practicality of ES conservation planning.

Dynamic Assessment and Change Analysis of Ecosystem Service Value Based on Physical Assessment Method in Cili County, China

The effective implementation of ecological protection policies requires the adequate assessment of temporal and spatial changes in the environment. To understand how ecosystem services can be used to track environmental changes, we carried out a study which focused on assessing the changes in the ecosystem services over time and space in Cili County, which is an important forestry region. The method we used was to evaluate the value of the regional ecological services based on the method for evaluating the value equivalent factor per unit area; then, by introducing multi-source data, the InVEST model was optimized to accurately assess the function of the regional ecosystem services, such as carbon storage, soil conservation, and water production. In addition, the values of the ecosystem services and the function assessment results were compared. Finally, based on the results of the optimized InVEST model, the value of the ecosystem services in the study area was regulated and re-evaluated. After re-evaluation, the total value of the ecosystem services in Cili county between 2000 and 2020 still showed an upward trend, increasing from CNY 26.136 billion to CNY 35.444 billion, with a total increase of CNY 9.308 billion. Compared to before the re-evaluation, the total value of the ecosystem services only increased from CNY 32.243 billion to CNY 32.473 billion, with a total increase of CNY 0.23 billion; the change in the value of the ecosystem services was more obvious, with a stronger spatial heterogeneity. The areas with high ecosystem service value in Cili County are mainly concentrated in the eastern parts, as well as the northwestern and southern parts, while the areas with low value are mainly concentrated in the central part of Cili County. The value of the central, southern, and northwestern parts of Cili County increased significantly. Such changes are closely related to China’s implementation of ecological protection policies in this region since 2000, such as returning farmland to forest and natural forest protection. The evaluation results of the ecosystem services and the method for evaluating the value equivalent factor in this study are more consistent with the changes in the ecosystem services in the study area. The dynamic assessment method of ecosystem service value proposed in this study is helpful in achieving accurate assessments of the regional ecosystem services and thus provides a useful reference for the formulation of more reasonable regional ecological protection policies.

Integrating biodiversity and ecosystem services to identify ecological priorities for an ecologically fragile city in China

AbstractA high rate of urbanization comes with high environmental costs, leading to reductions in biodiversity and ecosystem services (BES). How to maximize the efficiency and representation of BES in cities is of utmost urgency. However, in the process of spatial prioritization identification, it remains unclear whether a preference for ecosystem services (ES) promotes or detracts from biodiversity. In this study, a Marxan‐based spatial conservation prioritization framework is provided to achieve a win–win situation for ES provision and biodiversity protection. Using Hohhot city, China as a study case, it sets up different weighting scenarios with species and five ES to determine the optimal protected area network for each possible combination. At the same time, it tests the conservation costs, protected features, and spatial overlap of different scenarios with existing protected areas to quantify their conservation efficiency. We found that (1) closed deciduous broadleaved forests, closed evergreen needle‐leaved forests, and deciduous shrublands could support both high biodiversity and abundant ES at altitudes of 1600–2000 m. (2) Although a positive association is found between ES and biodiversity, there is some spatial variation. The geographical overlap rate with biodiversity prioritization was only 29.72% when only ES were considered. (3) Conservation of ecological hotspots by increasing the weight of ES can reduce conservation expenses by 0.69%–20.32% compared to meeting solely biodiversity targets. Our analyses highlight the need for an appropriate weighting of ES in decisions seeking to identify protected areas. This study provides methodological support for the integration of ES and biodiversity, facilitating more comprehensive conservation planning decisions.

Multiple pressures and vegetation conditions shape the spatiotemporal variations of ecosystem services in the Qinghai-Tibet Plateau.

Human activities and environmental change can impact the supply of ecosystem services (ESs) as pressures. Understanding the mechanisms of these impacts is crucial to support ecological conservation and restoration policy and applications. In this study, we highlighted the contribution of vegetation to mitigating these impacts on ESs in the Qinghai-Tibet Plateau (QTP) of China. First, we identified hot and cold spots of pressures from human activities and environmental factors and mapped the cumulative provision of five ESs (i.e., water yield, soil retention, carbon sequestration, habitat quality, and landscape aesthetics). Then, we clustered these ESs into five bundles based on their supply level. Furthermore, structural equation modeling was used to quantify the pathways of multiple pressures on ESs. The results indicated that 1) for 2000, 2010 and 2019, the percentages of hot spots with high pressure were 28.88%, 27.59% and 45.66% respectively, with significant spatial heterogeneity from northwest to southeast; 2) both regions with high and low cumulative ES values experienced increased volatility; and 3) the joint effects of multiple pressures shaped ESs through pressure-ES (direct) and pressure-vegetation-ES (indirect) pathways. Specifically, precipitation had the largest positive effect on regulating services (rα ≥ 0.76), and landscape fragmentation had the largest negative effect on cultural services (-0.10 ≤ rα ≤ -0.07). Vegetation played an important role in modulating multiple pressures on ESs. This study contributes to ecosystem management by effectively coping with anthropogenic and environmental pressures and sustaining the supply of ESs, particularly in alpine and plateau regions.

Tree-based ecosystem services supply and multifunctionality of church forests and their agricultural matrix near Lake Tana, Ethiopia

Ecosystem services (ES) are the connection between nature and society, and are essential for the well-being of local communities that depend on them. In Ethiopia, church forests and the surrounding agricultural matrix supply numerous ES. However, the ES delivered by both land use types have not yet been assessed simultaneously. Here we surveyed both church forests and their agricultural matrices, aiming to quantify, compare and unravel the drivers underlying tree-based ES supply, density and multifunctionality. We found that almost all church forests and half of the agricultural matrices provided high ES densities. ES multifunctionality was higher in the agricultural matrices, suggesting that people deliberately conserve or plant multifunctional tree species. Furthermore, the supply of all categories of ES was positively correlated with church forest age (p-value < 0.001) in the agricultural matrix, while the extent of church forest was positively correlated with the density of all categories ecosystem services score in the church forests (p-value < 0.001). Our results can be used to prioritize conservation efforts at sites that provide high levels of ES supply, ES density and ES multifunctionality, and to prioritize restoration efforts at sites with low levels thereof.