Effects of Landscape Pattern on Pollination, Pest Control, Water Quality, Flood Regulation, and Cultural Ecosystem Services: a Literature Review and Future Research Prospects

Spatiotemporal ecosystem services: Response to structural changes (A case study in Lahijan, Iran)

Structure and function are the inherent characteristics of each ecosystem providing various services such as clean air, extreme weather mitigation, and mental and physical well-being. The objective of this study is to develop a unified model combining Integrated Valuation of Ecosystem Services, ecological network (EN), and correlation analysis to investigate changes in ecosystem structure, function, and process. In this context, carbon sequestration, soil reduction, and flood risk mitigation were quantified from 2000 to 2020 and predicted for 2040 using the cellular automata and Markov chain (CA-Markov) model. Finally, correlation analysis was used to analyze the relationship over time between the land use (LU) classes and the components of the forest EN that provide and exchange desired ecosystem services (ESs). Thus, the changes in LU in the region in recent years led to significant reduction of ESs in the region as well as changes in the interaction between services. These changes, on the one hand, reduced the area of cores and increased isolated forest patches and, on the other hand, led to the horizontal expansion of cities and agricultural lands. If this trend continues, the decline in services provided by the ecosystem will persist into the future. Consequently, it can be said that structural changes in the ecosystem can lead to changes in the ESs. Integr Environ Assess Manag 2024;20:1099-1111. © 2023 SETAC.

Improving ecosystem health in highly altered river basins: a generalized framework and its application to the Mississippi-Atchafalaya River Basin

Continued large-scale public investment in declining ecosystems depends on demonstrations of "success". While the public conception of "success" often focuses on restoration to a pre-disturbance condition, the scientific community is more likely to measure success in terms of improved ecosystem health. Using a combination of literature review, workshops and expert solicitation we propose a generalized framework to improve ecosystem health in highly altered river basins by reducing ecosystem stressors, enhancing ecosystem processes and increasing ecosystem resilience. We illustrate the use of this framework in the Mississippi-Atchafalaya River Basin (MARB) of the central United States (U.S.), by (i) identifying key stressors related to human activities, and (ii) creating a conceptual ecosystem model relating those stressors to effects on ecosystem structure and processes. As a result of our analysis, we identify a set of landscape-level indicators of ecosystem health, emphasizing leading indicators of stressor removal (e.g., reduced anthropogenic nutrient inputs), increased ecosystem function (e.g., increased water storage in the landscape) and increased resilience (e.g., changes in the percentage of perennial vegetative cover). We suggest that by including these indicators, along with lagging indicators such as direct measurements of water quality, stakeholders will be better able to assess the effectiveness of management actions. For example, if both leading and lagging indicators show improvement over time, then management actions are on track to attain desired ecosystem condition. If, however, leading indicators are not improving or even declining, then fundamental challenges to ecosystem health remain to be addressed and failure to address these will ultimately lead to declines in lagging indicators such as water quality. Although our model and indicators are specific to the MARB, we believe that the generalized framework and the process of model and indicator development will be valuable in an array of altered river basins.

Comparison between graph theory connectivity indices and landscape connectivity metrics for modeling river water quality in the southern Caspian sea basin

The maintenance of connectivity is critical to the proper functioning of an ecosystem. The present study was conducted with the aim of comparing graph theory connectivity indices and landscape connectivity metrics for the purpose of modeling river water quality. To conduct this study, a forest layer was extracted from land cover map and 25 large watersheds were selected. River water quality was then assessed from the perspective of 8 landscape connectivity metrics and 12 graph theory indices. We developed predictive models using stepwise linear regression, power, exponential, and logarithmic models to locate the best model form for each water quality parameter (dependent variable) we examined. The results indicated that models developed using graph theory connectivity indices resulted in higher coefficients of determination (R²) than models developed using landscape metrics. Only 5 independent variables from a potential set of 13 were significant in explaining the variation in water quality parameters. Also, the models with the highest R² attempted to explain variations in CO₃ (0.818), water discharge (0.733), and Ca levels (0.702). Therefore, the results of this study showed that graph theory connectivity indices had more significant correlation with water quality parameters compared to landscape connectivity metrics. This work also indicates that there exist nonlinear relationships among connectivity indices and water quality parameters.

Considering landscape-level processes in ecosystem service assessments

The provision of ecosystem services is inherently spatial. Landscape structure affects service provision through multiple landscape-level processes, such as fragmentation, edge and connectivity effects. These processes can affect areas of ecosystem service supply and demand, and the flows linking those areas. Despite the emergence of sophisticated spatial ecosystem service assessments in the last two decades, we show through a literature review that landscape-level processes are still rarely considered in a comprehensive way. Even when they are considered, landscape effects are mostly limited to landscape composition, and configuration effects are underrepresented. Furthermore, most studies infer ecosystem service provision by only evaluating supply, ignoring demand and flows. Here we present a simple conceptual framework that illustrates how to incorporate landscape-level processes in the assessment of the different components of the service provision chain (supply, demand and flows). Using simulations, we evaluated how estimations of ecosystem service provision change when considering different landscape processes and discussed the implications of disregarding landscape effects. However, to fully implement the framework, a series of challenges linked to mapping and quantifying supply and demand, defining adequate scales of analysis, measuring flows, and parameterizing models for different types of services, still need to be overcome. To promote an adequate use and management of ecosystem services, it is essential to better incorporate landscape processes in ecosystem service assessments. This will lead to more quantitatively accurate and spatially precise estimates.

A comprehensive approach for agroecosystem services and disservices valuation

The use of the ecosystem services approach for ecosystem management, including the valuation of ecosystem services, has grown in recent decades. Although a common framework is used, each ecosystem has its own characteristics. The agroecosystem, for example, is an anthropised ecosystem where ecosystem service flows are highly interrelated with the environment, positively or negatively. Therefore, agroecosystem services are usually accompanied by disservices. The valuation of agroecosystem services and disservices requires adaptation of existing ecosystem services paradigms to accommodate the innate agroecosystem idiosyncrasies. To this end, in this study, a comprehensive approach for valuation of agroecosystem services and disservices was proposed and validated in a semi-arid western Mediterranean agricultural area through stakeholder assessment, using a choice experiment. The results suggest that all categories of services (provisioning, regulating, and cultural) should be taken into account when valuing agroecosystem services and disservices. In particular, food provision (a provisioning service), water (a provisioning disservice), local climate regulation and biodiversity (regulating services), waste treatment and water purification (regulating disservices), and recreation and tourism (cultural services) are relevant for this purpose. Their relative importance in agroecosystems valuation reached 70% for agroecosystem services and 30% for disservices. Specifically, biodiversity (38%) emerged as the most relevant agroecosystem service to be valued, followed by recreation and tourism (20%), local climate regulation (7%), and food provision (5%). Among the agroecosystem disservices, water and waste treatment (15%), and water purification (15%) together contributed to 30% of the total importance. Agroecosystems should be valued considering their multifunctional character and the integration of agroecosystem services and disservices.

The direct and interactive impacts of hydrological factors on bacillary dysentery across different geographical regions in central China

Previous studies found non-linear mutual interactions among hydrometeorological factors on diarrheal disease. However, the complex interactions of the hydrometeorological, topographical and human activity factors need to be further explored. This study aimed to reveal how hydrological and other factors jointly influence bacillary dysentery in different geographical regions. Using Anhui Province in China, consisted of Huaibei plain, Jianghuai hilly and Wannan mountainous regions, we integrated multi-source data (6 meteorological, 3 hydrological, 2 topographic, and 9 socioeconomic variables) to explore the direct and interactive relationship between hydrological factors (quick flow, baseflow and local recharge) and other factors by combining the ecosystem model InVEST with spatial statistical analysis. The results showed hydrological factors had significant impact powers (q = 0.444 (Huaibei plain) for local recharge, 0.412 (Jianghuai hilly region) and 0.891 (Wannan mountainous region) for quick flow, respectively) on bacillary dysentery in different regions, but lost powers at provincial level. Land use and soil properties have created significant interactions with hydrological factors across Anhui province. Particularly, percentage of farmland in Anhui province can influence quick flow across Jianghuai, Wannan regions and the whole province, and it also has significant interactions with the baseflow and local recharge across the plain as well as the whole province. Percentage of urban areas had interactions with baseflow and local recharge in Jianghuai and Wannan regions. Additionally, baseflow and local recharge could be interacted with meteorological factors (e.g. temperature and wind speed), while these interactions varied in different regions. In conclusion, it was evident that hydrological factors had significant impacts on bacillary dysentery, and also interacted significantly with meteorological and socioeconomic factors. This study applying ecosystem model and spatial analysis help reveal the complex and nonlinear transmission of bacillary dysentery in different geographical regions, supporting the development of precise public health interventions with consideration of hydrological factors.

Linking Coleopteran Diversity With Agricultural Management of Maize-Based Agroecosystems in Oaxaca, Mexico

Biodiversity is known to be influenced by agricultural practices in many ways. However, it is necessary to understand how this relation takes place in particular agroecosystems, sociocultural contexts and for specific biological groups, especially in highly biodiverse places. Also, in order to systematically study and track how biodiversity responds or changes with agricultural practices, it is necessary to find groups that can be used as practical indicators. We conduct a study of beetle (Coleoptera) diversity in maize-based agricultural plots with heterogeneous management practices in the Central Valleys of Oaxaca, Mexico, a region with outstanding biodiversity and a long agricultural history. We use a mixture of local knowledge and multivariate statistics to group the plots into two broad and contrasting management categories (traditional vs. industrialized). Then, we present an analysis of Coleopteran diversity for each category, showing higher levels across different diversity indexes for the traditional plots. Specifically, Coleopteran guilds associated with natural pest control and soil conservation are more common in traditional plots than in industrialized ones, while herbivorous beetles are more abundant in the second. Also, our results let us postulate the Curculionidae family as an indicator of both management type and overall Coleopteran diversity in the agricultural lands of the study site. We discuss our results in terms of the agricultural matrix quality and its role in strategies that favor the coexistence of culturally meaningful agricultural systems and local biodiversity.