Evaluating the Global State of Ecosystems and Natural Resources: Within and Beyond the SDGs

Pesticides and PPCPs in aquatic ecosystems of the andean central region: Occurrence and ecological risk assessment in the Uco valley

Uco valley (Mendoza, Argentina) suffers the concomitant effect of climate change, anthropic pressure and water scarcity. Moreover chemical pollution to aquatic ecosystems could be another pressuring factor, but it was not studied enough to the present. In this sense, the aim of this study was to assess the occurrence of pesticides, pharmaceuticals and personal care products (PPCPs) in aquatic ecosystems of the Uco Valley and to perform an ecological risk assessment (ERA). The presence of several insecticides (mainly neonicotinoids), herbicides (atrazine, diuron, metolachlor, terbutryn) and fungicides (strobilurins, triazolic and benzimidazolic compounds) in water samples in two seasons, related to crops like vineyards, garlic or fruit trees was associated to medium and high-risk probabilities for aquatic biota. Moreover, PPCPs of the group of non-steroidal anti-inflammatory drugs, parabens and bisphenol A were detected in all the samples and their calculated risk quotients also indicated a high risk. This is the first record of pesticides and PPCPs with an ERA in this growing agricultural oasis. Despite the importance of these findings in Uco Valley for decision makers in the region, this multilevel approach could bring a wide variety of tools for similar regions in with similar productive and environmental conditions, in order to afford actions to reach Sustainable Development Goals. SYNOPSIS: Aquatic ecosystems in arid mountain regions are threatened worldwide. This study reports relevant data about chemical pollution in Central Andes, which could be a useful tool to enhance SDGs' accomplishment.

Integrating ecosystem services closely related to human well-being into the restoration and management of deep lakes facing multiple stressors: Lessons from long-term practice in Qiandao Lake, China

Deep-lake (reservoir) ecosystems provide valuable ecosystem services (ES) and generate significant ecosystem service values (ESV); however, reservoir ecosystems have suffered great losses from environmental changes and human activities. Currently, studies on ES and its correlations with stressors remain insufficient and the integration of ES into ecological restoration and management poses numerous challenges. Here, we combined four types of stressors with six ES closely related to human well-being to discuss their interactions in Qiandao Lake (a representative deep lake in China). Our results indicate that all ESV showed a consistent growth trend throughout the study period, reaching 5203.8 million CNY in 2018, and the cultural service value surpassed the provisioning service value for the first time in 2004. Almost all the ESV were limited during the cyanobacterial bloom in Qiandao Lake. Redundancy analysis and partial least squares structural equation modeling jointly revealed that socioeconomic development was the most important direct driver of the increase in ESV (0.770) and that hydro-meteorological conditions (0.316) and pollutant loads (0.274) positively affected ESV by mediating lake trophic status. The trophic status of the lake is the result of the interaction of multiple stressors, which has a negative impact on ESV. Therefore, to continuously protect the provisioning and cultural service values of deep-lake ecosystems from damage, the government must rationally formulate SED goals and reduce pollutant loads during lake development, operation, and utilization. This work provides valuable insights into the interactions between ES, which are closely related to human well-being, and stressors in deep-lake ecosystems.

Study of the spatio-temporal variation of environmental sustainability at national and provincial levels in China

Environmental problems create a significant barrier for China in achieving its Sustainable Development Goals (SDGs). Assessing environmental sustainability is critical for China to meet the SDGs. Few studies, however, have looked into environmental sustainability in China. This research created a systematic and comprehensive environmental sustainability framework in line with the SDGs (SDG 6, SDG 11, SDG 12, SDG 13, SDG 14, SDG 15). From 2010 to 2018, we used a Constant Elasticity of Substitution (CES) model to assess China's spatio-temporal variation in environmental sustainability at the national and provincial levels. We also evaluated the results with changes to the substitution elasticity value, validating the feasibility of the proposed calculation method. Our results show that the scores of SDG 6, SDG 11, SDG 12, SDG 13, and SDG 15 experienced an increasing trend, while SDG 14 experienced a decline. China's Environmental Sustainability Index (ESI) scores indicate that China's overall environmental sustainability has been improved over time. At the provincial level, the ESI scores of all provinces increased at different levels from 2010 to 2018. The results of this paper may facilitate improvements in environmentally-related SDGs in China's provinces, and help realize China's sustainable development.

Experimental investigation of dehumidification process regulated by the photothermoelectric system

To decrease indoor relative humidity and have relaxing environments, small dehumidifiers are widely used in tropical climatic. Due to the benefits of eco-friendly, small size and silence operation, the thermoelectric dehumidifier has gained interest but has limited practical application due to poor efficiency. Therefore, this study investigates the dehumidification characteristics of the thermoelectric module powered by a photovoltaic system for the production of fresh water under real climatic conditions. The performance of a novel prototype named as the Photo-Thermoelectric Dehumidifier (PVTE-D) was investigated both numerically and experimentally in different combinations of airflow rate and input power. The results obtained from the experiment suggested that the water condensate collection was increased by increasing the input power from a PV panel to the TE-D. In the month of May, the maximum water condensate collection of 1,852.3 mL/hr was attained at the input supply of 6 A and 5 V to the PVTE-D system. In the majority of cases, when the airflow rate is below 0.013 kg/s, maximum collections of water condensate have been achieved. This study provides a detailed understanding of the optimally suitable structural parameters of the PVTE-D under different operating conditions and reveals a novel configuration for higher water condensation capacity.

A Systematic Review on the Integration of Remote Sensing and GIS to Forest and Grassland Ecosystem Health Attributes, Indicators, and Measures

It is important to protect forest and grassland ecosystems because they are ecologically rich and provide numerous ecosystem services. Upscaling monitoring from local to global scale is imperative in reaching this goal. The SDG Agenda does not include indicators that directly quantify ecosystem health. Remote sensing and Geographic Information Systems (GIS) can bridge the gap for large-scale ecosystem health assessment. We systematically reviewed field-based and remote-based measures of ecosystem health for forests and grasslands, identified the most important ones and provided an overview on remote sensing and GIS-based measures. We included 163 English language studies within terrestrial non-tropical biomes and used a pre-defined classification system to extract ecological stressors and attributes, collected corresponding indicators, measures, and proxy values. We found that the main ecological attributes of each ecosystem contribute differently in the literature, and that almost half of the examined studies used remote sensing to estimate indicators. The major stressor for forests was “climate change”, followed by “insect infestation”; for grasslands it was “grazing”, followed by “climate change”. “Biotic interactions, composition, and structure” was the most important ecological attribute for both ecosystems. “Fire disturbance” was the second most important for forests, while for grasslands it was “soil chemistry and structure”. Less than a fifth of studies used vegetation indices; NDVI was the most common. There are monitoring inconsistencies from the broad range of indicators and measures. Therefore, we recommend a standardized field, GIS, and remote sensing-based approach to monitor ecosystem health and integrity and facilitate land managers and policy-makers.

The Critical Role of the Construction Industry in Achieving the Sustainable Development Goals (SDGs): Delivering Projects for the Common Good

In 2015, the United Nations (UN) adopted the 2030 agenda for Sustainable Development, which set out 17 Sustainable Development Goals (SDGs), 169 targets and 231 unique indicators as a significant initiative towards socio-economic development. The SDGs provide the construction industry with a new lens through which global needs and desires can be translated into business solutions. This paper explores the role of the construction industry in achieving the 2030 Sustainable Development Goals. The paper uses an explanatory sequential design with an initial quantitative instrument phase, followed by a qualitative data collection phase. Following a comparative review of the literature on the 17 SDGs, a questionnaire was designed and administered among 130 respondents, and 105 responses were received. These data were then validated through semi-structured interviews with 16 sustainable construction experts. Data obtained from the semi-structured validation interviews were analysed through side-by-side comparisons of the qualitative data with the quantitative data. The findings show that the construction industry has a critical role in achieving almost all the 17 SDGs. The roles were, however, prevalent in 10 key SDGs, namely: sustainable cities and communities (SDG 11); climate action (SDG 13); clean water and sanitation (SDG 6); responsible consumption and production (SDG 12); industry, innovation and infrastructure (SDG 9); life on land (biodiversity) (SDG 15); gender equality (SDG 5); good health and well-being (SDG 3); affordable and clean energy (SDG 7); decent work and economic growth (SDG 8). The study confirmed the role played by the construction industry in achieving these SDGs. The findings from this study provide further insights into the ever-increasing state-of-the-art regarding the construction industry’s role in achieving Sustainable Development Goals.