Socio-ecological Drivers Research Articles

Deciphering the spatiotemporal trade-offs and synergies between ecosystem services and their socio-ecological drivers in the plain river network area

Understanding changes in ecosystem services (ESs) and quantitatively identifying the drivers that influence these changes are essential for achieving sustainable ecosystem development. In this study, multiple data sources and techniques, including meteorological data, land use/cover data, soil data, the InVEST model, and ArcGIS, were used to analyze the spatiotemporal variation characteristics of carbon storage, habitat quality, soil retention, water yield, and crop product supply in Xinghua City from 2000 to 2015. Additionally, we explored the causes of these changes and the interrelationships among these ESs. The results showed that: (1) During the study period, carbon storage and habitat quality declined, water yield fluctuated and increased, and soil retention had small interannual variations. The supply capacity of crop products first increased rapidly and then stabilized. (2) ESs were influenced by multiple drivers, with altitude having the strongest explanatory power for habitat quality and soil retention, and food production having the strongest explanatory power for crop product supply. (3) Relationships between different ESs were variable and changed over time. This study could enrich the understanding of spatial and temporal changes and drivers of ESs in the plain river network area, which has important implications for future land use planning and sustainable development of ESs.

The Truman Show for Human Helminthic Parasites: A Review of Recent Advances in In Vitro Cultivation Platforms.

Throughout history, parasites and parasitic diseases have been humankind's constant companions, as evidenced by the findings of tapeworm eggs in ancient, mummified remains. Helminths are responsible for causing severe, long-term, and debilitating infectious diseases worldwide, especially affecting economically challenged nations due to prevailing deficits in access to sanitation, proper hygiene practices, and healthcare infrastructure. Socio-ecological drivers, such as poverty, migration, and climate change, continue to contribute to parasites and their disease vectors being spread beyond known endemic zones. The study of parasitic diseases has had a fair amount of success leading to the development of new chemotherapeutic agents and the implementation of parasite eradication programs. However, further progress in this direction has been hampered by the challenges of culturing some of these parasites in in vitro systems for efficient availability, basic life cycle, infection studies, and effectiveness of novel treatment strategies. The complexity of the existing models varies widely, depending on the parasite and its life cycle, ranging from basic culture methods to advanced 3D systems. This review aims to highlight the research conducted so far in culturing and maintaining parasites in an in vitro setting, thereby contributing to a better understanding of pathogenicity and generating new insights into their lifecycles in the hopes of leading to effective treatments and prevention strategies. This work is the first comprehensive outline of existing in vitro models for highly transmissible helminth diseases causing severe morbidity and mortality in humans globally.

Scale effects on the supply–demand mismatches of ecosystem services in Hubei Province, China

Understanding the patterns, relationships, and driving forces between ecosystem services (ESs) supply–demand at multiple spatial scales can facilitate sustainable hierarchical management. However, the scale effects of ESs supply–demand mismatches were typically ignored, resulting in inadequate targeted ecosystem promotion policies. This study identified the supply–demand mismatches of the key ESs (grain production, water yield, carbon sequestration, and soil conservation) using the ecological supply–demand ratio and bivariate Moran's I at three grid and county scales from 2000 to 2020 in Hubei Province, China. Then the spatial regression models were applied to explore the driving forces of these mismatches. The major results revealed that (1) Hubei Province and counties located away from urban areas were self-sufficient in the ESs supply–demand, but the numbers of these counties declined over the twenty years. The characteristics of ESs mismatches in some patches may be obscured at coarser scales. (2) The directions of socioecological drivers were robust, but their intensities changed significantly at the four scales. The normalized difference vegetation index was the primary positive driver at the fine scale, while population, economy, and proportion of construction land became dominant drivers at coarser scales. Factors influencing mismatches were more diverse at the fine scale compared to the coarse scale. (3) Efficient strategies were scale-dependent and place-based. Different management units should clarify their responsibilities and strengthen linkages between upper and lower levels to achieve sustainable ESs development. At the provincial level, strengthening interregional cooperation and allocating surplus grain and water resources from the southwest to urban regions contributes to balancing regional ESs. At the county level, adopting region-specific strategies based on delineating ESs management zones is crucial. At finer management levels, incorporating micro-scale mismatch locations and natural background information can provide valuable guidance for localized ecological protection and restoration projects. The findings underscore the strengths of conducting assessments of ESs supply–demand at multiple scales, enabling different government levels to enhance effective ecosystem management and prevent misinformation.

Socio-ecological drivers of demersal fishing activity in the North Sea: The case of three German fleets

Worldwide, fisheries face the consequences of climate change and compete with expanding human activities at sea, which may trigger unforeseen reactions of fishers. Hence, knowledge on drivers of fishing behavior is crucial for management and needs to be integrated in resource management policies. In this study, we identify factors influencing fishing activity of North Sea demersal fleets. First, we explore drivers of the North Sea demersal fisheries in scientific literature. Subsequently, we study the effects of identified drivers on the spatio-temporal dynamics of German demersal fisheries using boosted regression trees (BRT), a supervised machine learning technique. An exploratory literature review revealed a lack of studies incorporating biophysical, economic and socio-cultural fishing drivers in a single quantitative analysis. Our BRT analysis contributed to filling this research gap and highlighted the importance of biophysical drivers such as temperature, salinity, and bathymetry for fishing behavior. Contrary to findings of previous studies, our empirical analysis identified quotas and market prices to be irrelevant, except for low brown shrimp prices, which counter-intuitively increased fishing effort. Moreover, economic and socio-cultural variables influencing brown shrimp fishing effort differed from the other fleets, especially determined by increased effort on workdays and reduced effort when fuel prices were high. Our findings provide key information for marine spatial planning and supports the integration of fishing fleet behavior into policies.

Perceptions of effective policy interventions and strategies to address antibiotic misuse within primary healthcare in India: A qualitative study.

Antimicrobial resistance poses a major public health threat. Despite Indian retail sector antibiotic consumption per capita increasing by approximately 22% between 2008 and 2016, empirical studies that examine policy or behavioural interventions addressing antibiotic misuse in primary healthcare are scarce. Our study aimed to assess perceptions of interventions and gaps in policy and practice with respect to outpatient antibiotic misuse in India. We conducted 23 semi-structured, in-depth interviews with a variety of key informants with diverse backgrounds in academia, non-government organisations, policy, advocacy, pharmacy, medicine and others. Data were charted into a framework matrix and analysed using a hybrid, inductive and deductive thematic analysis. Themes were analysed and organised according to the socio-ecological model at various levels ranging from the individual to the enabling environment. Key informants largely focused on the importance of adopting a structural perspective to addressing socio-ecological drivers of antibiotic misuse. There was a recognition that educational interventions targeting individual or interpersonal interactions were largely ineffective, and policy interventions should incorporate behavioural nudge interventions, improve the healthcare infrastructure and embrace task shifting to rectify staffing disparities in rural areas. Prescription behaviour is perceived to be governed by structural issues of access and limitations in public health infrastructure that create an enabling environment for antibiotic overuse. Interventions should move beyond a clinical and individual focus on behaviour change with respect to antimicrobial resistance and aim for structural alignment between existing disease specific programs and between the informal and formal sector of healthcare delivery in India.

Does the primate face cue personality?

When looking at others, primates primarily focus on the face - detecting the face first and looking at it longer than other parts of the body. This is because primate faces, even without expression, convey trait information crucial for navigating social relationships. Recent studies on primates, including humans, have linked facial features, specifically facial width-to-height ratio (fWHR), to rank and Dominance-related personality traits, suggesting these links' potential role in social decisions. However, studies on the association between dominance and fWHR report contradictory results in humans and variable patterns in nonhuman primates. It is also not clear whether and how nonhuman primates perceive different facial cues to personality traits and whether these may have evolved as social signals. This review summarises the variable facial-personality links, their underlying proximate and evolutionary mechanisms and their perception across primates. We emphasise the importance of employing comparative research, including various primate species and human populations, to disentangle phylogeny from socio-ecological drivers and to understand the selection pressures driving the facial-personality links in humans. Finally, we encourage researchers to move away from single facial measures and towards holistic measures and to complement perception studies using neuroscientific methods.

Risk Assessment for Anthropogenic Socioecological Drivers of Zoonotic Diseases and Possible Controls

Risk Assessment for Anthropogenic Socioecological Drivers of Zoonotic Diseases and Possible Controls

Socio-ecological drivers of vulnerabilities of children living within orphan homes and the implications for their nurturance care.

At the heart of the Sustainable Development Goals (SDG) is the vision to "leave no one behind, and to see that all children survive, thrive and transform. However, some categories of children may remain left behind owing to their disproportionate exposure to the risk of threats and deficit of attention to the social and ecological climate that characterizes the various systems in which they are found. This study is concerned with one major question: Despite diverse local and international instruments that favor full nurturance and development of children, what social forces play as threat to full nurturance care in the context of children living in Orphan homes? Nurturing care framework and Brofenbrener's ecological system theory were adopted as the analytical frameworks. Research design was exploratory. Data were collected through sessions of in-depth-interview with orphanage managers, caregivers, and social workers on the socio-ecology drivers of threat to children living within the orphan home space and its implications for nurturance care across the various complex systems of the child's environment. The study found various factors across the complex systems of child development - microsystem, mesosystem, exosystem, microsysm and lastly, chronosystem- which undermine caregivers' delivery and increases children's vulnerability and risk of missing out on effective nurturance care. These vulnerabilities are endemic realities of social, and bio-ecologcal space in which child development occurs. This study recommends specialized interventions and policy directives relevant for each identified threat. It also calls for a stronger political will in improving the conditions of this category of the children while within the orphan home space and ultimately, actions towards deinstitutionalization of children.

Trade-offs and driving factors of multiple ecosystem services and bundles under spatiotemporal changes in the Danjiangkou Basin, China

The Danjiangkou Basin (DJKB) is an important water source area for the South-to-North Water Diversion Middle Route Project in China. A comprehensive understanding of various ecosystem service (ES) bundles and their socioecological driving factors in this area remains important for ecological management and decision-making. Eight representative ES types within the DJKB were analyzed: food supply (FS), carbon sequestration (CS), habitat provision (HP), nitrogen retention (NR), phosphorus retention (PR), soil retention (SR), water yield (WY), and outdoor recreation (OR). The Spearman correlation coefficient was used to reveal trade-offs and synergies between paired ESs at subwatershed, grid, and regional scales, in addition to exploring their relationship with socioecological drivers. Using Getis-Ord Gi* and superposition analysis, spatiotemporal hotspots were superimposed, and a distribution map was generated. Lastly, K-means cluster analysis was used to analyze the spatiotemporal dynamics of ES bundles (ESBs) in 2000, 2005, 2010, 2015, and 2020. The results revealed that: (1) from 2000 to 2020, the eight ESs displayed clear spatiotemporal variability at the subwatershed scale: FS increased by 40.55 %, NR and PR first decreased, then increased. (2) Differences in trade-offs and synergies between spatiotemporal ESs at subwatershed, grid, and regional scales were also observed. (3) Superpositioning of hotspots revealed that only 1.33 % of the basin provided six ES types (except FS and NR); whereas ∼ 50 % of the study area provided 1–2 ES types. (4) Among the nine socioecological driving factors selected in the study, their respective influences remained relatively stable in time. GDP, population density, elevation, and slope were the main driving factors of ES changes, while other factors, such as precipitation and forest land ratio, also maintained notable influences. Three ESBs were mapped at the subwatershed scale [ESB1 (ecological high-quality area), ESB2 (agricultural production area), and ESB3 (ecological equilibrium area)] and their spatiotemporal patterns were analyzed. Overall, this study revealed the variations in ESs and their trade-offs within the DJKB across various spatiotemporal scales, identified the spatial distribution of ESB hotspots, and revealed the relationship between ESs and their socioecological drivers. These, results strengthened our understanding of spatiotemporal variations in ESs and ESBs, while providing technical and theoretical support for the planning and implementation of future DJKB ecosystem policies.

Scales and Historical Evolution: Methods to Reveal the Relationships between Ecosystem Service Bundles and Socio-Ecological Drivers-A Case Study of Dalian City, China.

Ecosystem service (ES) bundles can be defined as the temporal and spatial co-occurrence of ESs. ES bundles are jointly driven by socio-ecological factors and form at different scales. However, in recent research, a few studies have analyzed the dynamic evolution and driving mechanisms of ES bundles at different scales. Therefore, this study explored the spatial patterns of six ESs supplied in Dalian (China) from 2005 to 2015 at three spatial scales, determining the distribution and evolution patterns of ES bundles and their responses to socio-ecological driving factors. Our results are as follows: (1) We identified four ES bundles representing ecological conservation, water conservation, ecological depletion, and food supply. The developmental trajectory of each ES bundle could be attributed to the combined effects of environmental conditions and urban expansion. In particular, the water conservation bundle and food supply bundle were changed to the ecological depletion bundle. Given the ongoing urbanization, the conflict between ESs has intensified. (2) The impact of socio-ecological driving factors on ES bundles vary with scale. At three spatial scales, the digital elevation model (DEM) and normalized difference vegetation index (NDVI) had a great impact on ES bundles. Urbanization indicators also strongly explain the spatial distribution of ES bundles at the county and grid scales. The interaction factor detector shows that there is no combination of mutual weakening, indicating that the formation of ES bundles is driven by multiple factors in Dalian. Overall, this study used a more holistic approach to manage the ecosystem by studying the temporal-spatial dynamics of the multiple ESs.

Modeling the spatially heterogeneous relationships between tradeoffs and synergies among ecosystem services and potential drivers considering geographic scale in Bairin Left Banner, China

Understanding the complex relationships of tradeoffs and synergies among ecosystem services (ESs) is essential to achieve a comprehensive, coordinated, and sustainable development for human well-being. However, the quantitative measurement for the properties and intensities within these relationships as well as the deeper exploration of its formation mechanism from a spatial-explicit perspective is still a challenge. In this study, a comprehensive and general methodology was developed to quantitatively illustrate the intensities of tradeoffs/synergies among pairwise ESs and explore the spatially heterogeneous relationships between these relations and several socio-ecological drivers, integrating InVEST, geographical detector and multi-scale geographically weighted regression (MGWR) methods. The results indicated that (1) the properties and intensities of tradeoffs/synergies among various ESs varied greatly over space and presented significant clustered distribution patterns; (2) different relations between ESs were dominated by diverse drivers and the combined effects from multiple factors were stronger than any single one within this process. The tradeoffs/synergies between soil conservation and other ESs were mainly affected by geomorphological drivers including elevation and slope, while relations involved habitat quality could be attributed to vegetation and climate drivers such as precipitation and vegetation fractional cover. The relationships among ESs were more susceptible to topographic and anthropogenic drivers when concerning the carbon storage service; (3) compared to global ordinary least squares and local geographically weighted regression (GWR), the MGWR obtained better performance in explaining relationships between tradeoffs/synergies among ESs and potential drivers by operating different spatial scales. Accordingly, several spatially targeted ecological measures were proposed and recommended to reduce ESs tradeoffs and ultimately achieve better synergies. This research could enrich the methods in revealing the complex evolvement mechanism behind the tradeoffs/synergies among ESs and the proposed framework also provided a new perspective in the field of ESs tradeoffs/synergies studies and might be valuable guidance for other regions worldwide.

Identifying socio-ecological drivers of common cold in Bhutan: a national surveillance data analysis

The common cold is a leading cause of morbidity and contributes significantly to the health costs in Bhutan. The study utilized multivariate Zero-inflated Poisson regression in a Bayesian framework to identify climatic variability and spatial and temporal patterns of the common cold in Bhutan. There were 2,480,509 notifications of common cold between 2010 and 2018. Children aged < 15 years were twice (95% credible interval [CrI] 2.2, 2.5) as likely to get common cold than adults, and males were 12.4% (95 CrI 5.5%, 18.7%) less likely to get common cold than females. A 10 mm increase in rainfall lagged one month, and each 1 °C increase of maximum temperature was associated with a 5.1% (95% CrI 4.2%, 6.1%) and 2.6% (95% CrI 2.3%, 2.8%) increase in the risk of cold respectively. An increase in elevation of 100 m and 1% increase in relative humidity lagged three months were associated with a decrease in risk of common cold by 0.1% (95% CrI 0.1%, 0.2%) and 0.3% (95% CrI 0.2%, 0.3%) respectively. Seasonality and spatial heterogeneity can partly be explained by the association of common cold to climatic variables. There was statistically significant residual clustering after accounting for covariates. The finding highlights the influence of climatic variables on common cold and suggests that prioritizing control strategies for acute respiratory infection program to subdistricts and times of the year when climatic variables are associated with common cold may be an effective strategy.

Hardwiring antimicrobial resistance mitigation into global policy.

In the wake of COVID-19, antimicrobial resistance (AMR) has become termed the ‘silent pandemic’, with a growing number of editorials warning that international momentum for AMR mitigation is being lost amidst the global turmoil of COVID-19, economic crises and the climate emergency. Yet, is it sufficient to now simply turn the volume of the pre-existing AMR policy discourse back up? Although existing AMR initiatives have previously achieved high levels of international attention, their impact remains limited. We believe it is time to critically reflect on the achievements of the past 7 years and adapt our AMR policies based on the substantial literature and evidence base that exists on the socioecological drivers of AMR. We argue that developing a more sustainable and impactful response requires a shift away from framing AMR as a unique threat in competition with other global challenges. Instead, we need to move towards an approach that emphasizes AMR as inherently interlinked and consciously hardwires upstream interventions into broader global developmental agendas.

Ecosystem service supply–demand and socioecological drivers at different spatial scales in Zhejiang Province, China

Understanding the scale effects of ecosystem service (ES) supply–demand balances and drivers is critical to hierarchical ecosystem management. However, it remains unclear how the relationships of ES supply–demand and driving factors change with the scale. In this study, we first quantified food production (FP), water yield (WY), soil conservation (SC), carbon storage (CS), and habitat quality (HQ) at pixel and county scales in 2000 and 2020 in Zhejiang Province. Then, we analyzed the ES supply–demand balances and trade-offs/synergies at different scales. Finally, we performed correlation analysis and applied a random forest model to explore the socioecological drivers of these ESs. Our work showed that the supplies of FP, WY, and SC increased, while those of CS and HQ decreased from 2000 to 2020. ESs at the pixel scale were more spatially heterogeneous than those at the county scale. FP and CS were in short supply, and the gaps between their supply and demand grew over time. Some ES supply–demand mismatches at the pixel scale disappeared at the county scale. From the pixel scale to the county scale, the correlation directions of the ES trade-offs/synergies changed slightly, but their intensities changed significantly. The temperature, altitude, percentage of forestland and normalized difference vegetation index (NDVI) had positive effects on HQ, CS and SC, while the population density (POP), gross domestic product and percentage of artificial land (PA) had negative effects. The degree of influence of most socioecological drivers on the ESs increased with increasing scale. NDVI was the most important factor for CS, while precipitation was the most important for WY. The importance of POP and PA increased with both time and scale. Ultimately, overall ES supply–demand balances should be considered at the county scale, while more accurate management measures should be implemented at the pixel scale to promote effective hierarchical ES management. This study emphasizes the necessity of considering the scale effects for ES supply–demand balances in sustainable ecosystem management.

Direct and Indirect Determinants of Body Mass Index in Both Major Ethnic Groups Experiencing the Nutritional Transition in Cameroon.

In the context of rapid nutritional transitions in Africa, few studies have analyzed the etiology of obesity by considering the driver pathways that predict body mass index (BMI). The aim of this study is to innovatively identify these driver pathways, including the main sociodemographic and socioecological drivers of BMI. We conducted a rural–urban quantitative study in Cameroon (n = 1106; balanced sex ratio) to explore this issue. We recruited participants and reported several sociodemographic characteristics (e.g., marital status, socioeconomic status (SES), and ethnicity). We then assessed three main socioecological drivers of BMI (body weight perception, dietary intake, and physical activity) and conducted bioanthropometric measurements. We identified several driver pathways predicting BMI. In Cameroon, Bamiléké ethnicity, higher SES, being married, and older age had positive effects on BMI through overweight valorization and/or dietary intake. Accordingly, we found that being Bamiléké, married, and middle-aged, as well as having a higher SES, were factors that constituted at-risk subgroups overexposed to drivers of obesity. As such, this study highlights the necessity of investigating the complex driver pathways that lead to obesity. Therefore, better identification of the subgroups at risk for obesity will help in developing more targeted population health policies in countries where this burden is a major public health issue.

Understanding the Socio-ecological Drivers of SandMining and their Impact on Kulsi River, Assam, India

River in developing countries are tremendous pressure because of increasing dependence of human communities on sand, gravel, hydro electricity etc. River act as a basic source of livelihood and in many cases river has been exploited to such action that its replenishment is not possible. In terms of globalization and to achieve it development is the prior concern. That development ultimately exploit the natural resource base like river, forest etc and their various byproducts such as sand, gravel, timber and other raw materials. Such a noticeable example is Kulsi river originating from Meghalaya and finally merge with Brahmaputra as a southern most tributary. The main importance of the Kulsi river is that it is the shelter of endangered Gangetic Dolphin as well as rich source of pre-Cambrian quality sand. Under such circumstances this paper seeks to access the socio-economic life driving by the sand mining in the Kulsi river. It also identifies various ecological stress lead by sand mining in the river. The study also tries to pinnacle the future environmental problems related to the rampant sand mining with necessary suggestion.

The relationship between plant and butterfly richness and composition and socioecological drivers in five adjacent cities along the Mediterranean Coast of Israel

Abstract Urbanization is the land-use process that most significantly impacts flora and fauna. We conducted a multiple city comparison of two taxa to assess whether richness patterns are similar across cities and taxa. This study aimed to examine the effects socioecological factors, namely open area size, socioeconomic status and the built-up cover, on species richness and composition of plants and butterflies in five adjacent Mediterranean cities in Israel’s coastal plain. Vegetation surveys were conducted in 170 open area sites in various urban settings. In 34 of them, the presence of butterfly species was also recorded. Mixed-effect generalized linear models were used to examine the site's characteristics effect on the species richness. The identity of each city was included as a random effect in the models. Results indicated that overall plant species richness increased with patch size, whereas butterfly richness was not associated with this factor. Plant and butterfly species richness in all categories decreased with the increase in building cover, except for endemic plant species. The results demonstrate the complex contribution of urban open area patches to the biodiversity of different taxa, being conditional on their size, surrounding built-up area and socioeconomic values.

Assessing the potential delivery of ecosystem services by farmlands under contrasting management intensities

Farming systems under contrasting management practices can contribute differently to the delivery of bundles of ecosystem services (ES) in agricultural landscapes. Low intensity farming systems, such as High Nature Value farmlands, are expected to deliver a wider range of ES, whereas landscapes under more intensive management are expected to deliver mainly provisioning services. Understanding the management practices associated with desirable outcomes in terms of biodiversity and ES in agricultural landscapes is needed. Our research aimed to understand the links between the delivery of ES bundles associated with agricultural landscapes, and their socio-ecological drivers, using a region in northern Portugal as a case study. Based on publicly available data on ecosystems services and drivers, we analyzed ES associations, delineated ES bundles, and investigated their relationship with socio-ecological drivers. Overall, our results suggested spatial trade-offs between landscapes delivering provisioning services of high economic value, and landscapes delivering a more balanced set of multiple ES. Bundle analysis highlighted an association between higher landscape multifunctionality and higher values of landscape complexity, higher number of farmers, and farm sizes. Our results reflected the complexity of social and ecological factors operating at the landscape level, pinpointed landscapes with higher multifunctionality and disclosed the conditions underlying their occurrence. The results also highlighted the importance of low-intensity farming systems, namely those supporting High Nature Value farmlands, for the delivery of a wider range of ES at the landscape scale.

Socio-ecological correlates of neophobia in corvids

Behavioral responses to novelty, including fear and subsequent avoidance of novel stimuli, i.e., neophobia, determine how animals interact with their environment. Neophobia aids in navigating risk and impacts on adaptability and survival. There is variation within and between individuals and species; however, lack of large-scale, comparative studies critically limits investigation of the socio-ecological drivers of neophobia. In this study, we tested responses to novel objects and food (alongside familiar food) versus a baseline (familiar food alone) in 10 corvid species (241 subjects) across 10 labs worldwide. There were species differences in the latency to touch familiar food in the novel object and novel food conditions relative to the baseline. Four of seven socio-ecological factors influenced object neophobia: (1) use of urban habitat (versus not), (2) territorial pair versus family group sociality, (3) large versus small maximum flock size, and (4) moderate versus specialized caching (whereas range, hunting live animals, and genus did not), while only maximum flock size influenced food neophobia. We found that, overall, individuals were temporally and contextually repeatable (i.e., consistent) in their novelty responses in all conditions, indicating neophobia is a stable behavioral trait. With this study, we have established a network of corvid researchers, demonstrating potential for further collaboration to explore the evolution of cognition in corvids and other bird species. These novel findings enable us, for the first time in corvids, to identify the socio-ecological correlates of neophobia and grant insight into specific elements that drive higher neophobic responses in this avian family group. VIDEO ABSTRACT.

Nutrient Overloading in the Chesapeake Bay

We examine socioecological drivers of nutrient overloading and eutrophication in the Chesapeake Bay associated with poultry production on the Delmarva Peninsula. We use a social metabolic analysis—rooted in a political-economy perspective—that highlights the interchange of matter and energy and the inextricable links within and between social and ecological systems, illuminating the social structural processes contributing to ecological changes. The concentration and consolidation of poultry production through integration, which involves contract farming, and geographic concentration of operations, have been associated with intensified and increased scale of chicken (broiler) production. These processes have had significant effects on waste accumulation, maintenance, and disposal, and this industry has become one of the major contributors of nutrient overloading in the Chesapeake Bay. This study, therefore, specifies social processes that are driving environmental changes between land and sea.