Sustainability evaluations are increasingly relevant in the design of products. Within sustainability-related frameworks, circular economy (CE) has gained attention in the last few years, and this has vastly affected design, leading, for example, to design for circularity. This article deals with the wide range of product-level CE assessment tools, out of which some are applied to a case study from the building sector, namely a tiny house made with hemp bricks. Attention was specifically paid to those methods through which a single circularity indicator could be extrapolated. Overall, the objective of this work is to study the convergence of existing CE assessment methods in providing consistent circularity performances. The results show similarities in the overall circularity scores despite differences in the variables used to achieve that final score. Thus, despite the lack of standard methods, the results suggest that many of these tools are sufficiently interchangeable, also in consideration of consistent indications to improve the circularity of the tiny house. This means that consistent inputs are provided to anyone willing to redesign the tiny house with the objective of making it more circular irrespective of the assessment tool used.

With the recent growing interest in improving fruit and vegetable intake for better health and limited research resources in many settings, simple-to-administer and low-priced indicators are essential tools for monitoring fruit and vegetable intake at the population level. A potential candidate indicator is the fruit and vegetable component of the Global Dietary Recommendation score (FV-GDR) based on data collected using the Diet Quality Questionnaire (DQQ). We investigated the relative validity of FV-GDR collected with the DQQ to measure fruit and vegetable intake by comparison with a 24-h recall (24hR) as a reference collected from 620 Vietnamese and 630 Nigerian adults in 2021. We found proportional differences in the prevalence of intake of vitamin A-rich vegetables, other vegetables and other fruits in Vietnam and all vegetable food groups in Nigeria. In both countries, we found a small difference in the total FV-GDR from DQQ compared with the 24hR, and the percentage of agreement between the two methods was quite high for the majority of the food groups. The FV-GDR calculated from the DQQ correlated with the actual intake, although less strongly than the FV-GDR from 24hR. The DQQ is a promising low-burden, low-cost and simple tool to calculate FV-GDR and to monitor fruit and vegetable consumption at the population level. This provides the possibility of evaluating an important aspect of diet quality in low-resource settings.

The EU-funded Animal Welfare Indicators (AWIN) research project (2011-2015) aimed to improve animal welfare through the development of practical on-farm animal welfare assessment protocols. The present study describes the application of the AWIN approach to the development of a welfare assessment protocol for horses (Equus caballus). Its development required the following steps: (i) selection of potential welfare indicators; (ii) bridging gaps in knowledge; (iii) consulting stakeholders; and (iv) testing a prototype protocol on-farm. Compared to existing welfare assessment protocols for other species, the AWIN welfare assessment protocol for horses introduces a number of innovative aspects, such as implementation of a two-level strategy focused on improving on-farm feasibility and the use of electronic tools to achieve standardised data collection and so promote rapid outcomes. Further refinement to the AWIN welfare assessment protocol for horses is needed in order to firstly gather data from a larger reference population and, secondly, enhance the welfare assessment protocol with reference to different horse housing and husbandry conditions.

Sea turtles are long-lived migratory species that are sensitive to anthropogenic impacts. Their condition reflects that of marine ecosystems and can serve as an indicator for environmental monitoring. However, evaluating body condition parameters, as a proxy for health, is challenging and often overlooked. The purpose of this study was to validate a straightforward method for assessing the body condition of nesting loggerhead sea turtles (Caretta caretta), and to investigate whether body condition was correlated with epibiont loading. To achieve this, 60 nesting loggerhead sea turtles were sampled and categorized into five body conditions ranging from very poor to very good. Injuries, skin deformities and plastron shape were used for this classification. Epibionts were collected from the same turtles and identified, with species richness, diversity, community structure and barnacle loading compared among body conditions. Epibiont communities were correlated with body condition as both species richness and abundance increased with a decline in turtle body condition. Barnacle epibionts showed great variation among different body conditions, having significantly higher numbers on turtles in poor condition. All parameters in this study showed similar distinctive relationships with body condition of loggerhead turtles from poor to very good body condition. The body condition index used in this study can be applied readily and, along with barnacle counts, can provide basic baseline information on turtle health.

Livestock farming is an essential activity in many rural areas, where it contributes to the maintenance of soil fertility and farmland biodiversity, as well as to a set of social public goods including food security, rural vitality and culture. However, livestock sustainability assessments tend to focus primarily on environmental and economic dimensions; therefore, these valuations might be limited because they do not consider the complete set of associated goods and services (GS). Hence, a need exists to recognise the multiple contributions provided by livestock to human well-being and society. The objective of this study was to analyse the provision of multiple GS derived from livestock across regions in France and empirically demonstrate sets of GS that repeatedly appeared together. We designated these multiple GS provided by livestock as contributions to productive, environmental, rural vitality and cultural benefits that human populations derive directly or indirectly from livestock agroecosystems. First, we combined expert knowledge with results of a literature review to define a bundle of GS provided by livestock. We then described indicators that quantified each good or service and screened national databases to determine the availability of supporting data. Finally, we assessed the GS and their relationships (synergies or trade-offs) on a nation-wide gradient in France at the department level (Nomenclature of Territorial Units for Statistics 3). Four main categories of GS were considered: provisioning (e.g. food quantity and quality), environmental quality (e.g. biodiversity, landscape heterogeneity, water quality), rural vitality (e.g. employment, rural dynamism) and culture (e.g. gastronomy and landscape heritage). Four major types of GS bundles were identified, which suggested strong contrasts among French rural areas in terms of the nature of the GS that occurred together and their levels of provision. GS bundles in France had a non-random spatial distribution. This study represents an initial step towards developing a methodology to consider GS bundles provided by livestock. Nonetheless, further research is needed to understand socio-economic, environmental, political and geographic determinants of the composition of GS bundles.

The large fish indicator (LFI), or ‘proportion of fish greater than 40 cm length in bottom trawl surveys,’ is a frequently debated indicator of Good Environmental Status in European regional seas. How does the LFI respond to changes in fishing pressure? This question is addressed here through analysis of fine-scale spatial trends in the LFI within the North Sea, compared between two periods of contrasting fisheries management: 1983–1999 and 2000–2012, respectively, before and after the onset of the European Union's fleet reduction scheme. Over the entire period, the LFI has decreased in large parts of the North Sea. However, most of the decline was from 1983–1999; since 2000 the LFI has improved in much of the North Sea, especially in UK waters. Comparison with international effort data shows that those western areas where the LFI has improved correspond with regions where otter trawl effort has decreased since 2000 (and previously was highest in the 1990s), and also with decreases in beam trawl effort. This study provides strong support that recent European effort reduction schemes are now beginning to result in an improved ecosystem state as indicated by the regional-scale improvement in the LFI.

This article describes several indicators and methods for estimating nitrogen flows and balance sheets. It reviews their strengths and weaknesses according to user types and their objectives. The nitrogen balance sheets, based on the difference between inputs and outputs are by far the most-often used estimator of nitrogen management on livestock farms. Among those, the soil surface balance helps in guiding the fertilisation and the farmgate balance is logically higher. The indicators of practices are easy to use but are poor predictors of nitrogen losses, whereas the indicators of emissions allow for estimating nitrogen losses using either direct measurements or models thereby providing a dynamic assessment of these flows. The coupling of balance sheets and indicators of emissions offers a certain potential for improvement of diagnosis and support of decision making. Finally, the indicators of impacts, including the life cycle analyses are currently the most popular for qualifying the impacts of animal production.

A scientific literature review and consensus of expert opinion used the welfare definitions provided by the Farm Animal Welfare Council (FAWC) Five Freedoms as the framework for selecting a set of animal-based indicators that were sensitive to the current on-farm welfare issues of young lambs (aged ⩽6 weeks). Ten animal-based indicators assessed by observation – demeanour, response to stimulation, shivering, standing ability, posture, abdominal fill, body condition, lameness, eye condition and salivation were tested as part of the objective of developing valid, reliable and feasible animal-based measures of lamb welfare The indicators were independently tested on 966 young lambs from 17 sheep flocks across Northwest England and Wales during December 2008 to April 2009 by four trained observers. Inter-observer reliability was assessed using Fleiss's kappa (κ), and the pair-wise agreement with an experienced, observer designated as the ‘test standard observer’ (TSO) was examined using Cohen's κ. Latent class analysis (LCA) estimated the sensitivity (Se) and specificity (Sp) of each observer without assuming a gold standard and predicted the Se and Sp of randomly selected observers who may apply the indicators in the future. Overall, good levels of inter-observer reliability, and high levels of Sp were identified for demeanour (κ = 0.54, Se ⩾ 0.70, Sp ⩾ 0.98), stimulation (κ = 0.57, Se = 0.30 to 0.77, Sp ⩾ 0.98), shivering (κ = 0.55, Se = 0.37 to 0.85, Sp ⩾ 0.99), standing ability (0.54, Se ⩾ 0.80, Sp ⩾ 0.99), posture (κ = 0.45, Se ⩾ 0.56, Sp = 0.99), abdominal fill (κ = 0.44, Se = 0.39 to 0.98, Sp = 0.99), body condition (κ = 0.72, Se ⩾ 0.38 to 0.90, Sp = 0.99), lameness (κ = 0.68, Se > 0.73, Sp = 1.00), and eye condition (κ = 0.72, Se ⩾ 0.86, Sp = 0.99). LCA predicted that randomly selected observers had Se > 0.77 (acceptable), and Sp ⩾ 0.98 (high) for assessments of demeanour, lameness, abdominal fill posture, body condition and eye condition. The diagnostic performance of some indicators was influenced by the composition of the study population, and it would be useful to test the indicators on lambs with a greater level of outcomes associated with poor welfare. The findings presented in this paper could be applied in the selection of valid, reliable and feasible indicators used for the purposes of on-farm assessments of lamb welfare.

The global importance of grasslands is indicated by their extent; they comprise some 26% of total land area and 80% of agriculturally productive land. The majority of grasslands are located in tropical developing countries where they are particularly important to the livelihoods of some one billion poor peoples. Grasslands clearly provide the feed base for grazing livestock and thus numerous high-quality foods, but such livestock also provide products such as fertilizer, transport, traction, fibre and leather. In addition, grasslands provide important services and roles including as water catchments, biodiversity reserves, for cultural and recreational needs, and potentially a carbon sink to alleviate greenhouse gas emissions. Inevitably, such functions may conflict with management for production of livestock products. Much of the increasing global demand for meat and milk, particularly from developing countries, will have to be supplied from grassland ecosystems, and this will provide difficult challenges. Increased production of meat and milk generally requires increased intake of metabolizable energy, and thus increased voluntary intake and/or digestibility of diets selected by grazing animals. These will require more widespread and effective application of improved management. Strategies to improve productivity include fertilizer application, grazing management, greater use of crop by-products, legumes and supplements and manipulation of stocking rate and herbage allowance. However, it is often difficult to predict the efficiency and cost-effectiveness of such strategies, particularly in tropical developing country production systems. Evaluation and on-going adjustment of grazing systems require appropriate and reliable assessment criteria, but these are often lacking. A number of emerging technologies may contribute to timely low-cost acquisition of quantitative information to better understand the soil–pasture–animal interactions and animal management in grassland systems. Development of remote imaging of vegetation, global positioning technology, improved diet markers, near IR spectroscopy and modelling provide improved tools for knowledge-based decisions on the productivity constraints of grazing animals. Individual electronic identification of animals offers opportunities for precision management on an individual animal basis for improved productivity. Improved outcomes in the form of livestock products, services and/or other outcomes from grasslands should be possible, but clearly a diversity of solutions are needed for the vast range of environments and social circumstances of global grasslands.

Organic farming conserves natural resources, promotes biodiversity, guarantees animal welfare and obtains healthy products from raw materials through natural processes. In order to evaluate possibilities of increasing organic animal production, this study proposes a farm-scale multicriteria method for assessing the conversion of dairy goat systems to the organic model. In addition, a case study in the Northern Sierra of Seville, southern Spain, is analysed. A consensus of expert opinions and a field survey are used to validate a list of potential indicators and issues for assessing the conversion, which consider not only the European Community regulations for organic livestock farming, but also agroecological principles. As a result, the method includes 56 variables integrated in nine indicators: Nutritional management, Sustainable pasture management, Soil fertility and contamination, Weed and pest control, Disease prevention, Breeds and reproduction, Animal welfare, Food safety and Marketing and management. The nine indicators are finally integrated in a global index named OLPI (Organic Livestock Proximity Index). Application of the method to a case study with 24 goat farms reveals an OLPI value of 46.5% for dairy goat farms located in mountain areas of southern Spain. The aspects that differ most from the agroecological model include soil management, animal nutrition and product marketing. Results of the case study indicate that the proposed method is easy to implement and is useful for quantifying the approximation of conventional farms to an organic model.

Activity of the enzyme β-glucuronidase (EC 3.2.1.31) is found in milk from ruminants with mastitis. However, the use of this enzymic activity as an indicator of mastitis has gained little attention possibly because of its low activity when compared with other mastitis indicators. The determination may therefore be less precise and the analytical procedure very time consuming and labour intensive. The present study optimized the fluorometric determination of the β-glucuronidase activity with respect to substrate concentration, pH, incubation time etc., validated the assay, and developed it into large scale analyses. The assay performance is satisfactory regarding precision, linearity etc., and it appears comparable to analogous fluorometric assays for mastitis indicators in milk. From a local dairy herd, 825 milk samples were analysed for potential mastitis indicators, i.e. β-glucuronidase, lactate dehydrogenase (LDH), alkaline phosphatase (AP), and N-acetyl-β-d-glucosaminidase (NAGase) activity, and for somatic cell counts (SCC) and the variables were compared. Activity of β-glucuronidase was moderately but significantly correlated to SCC (r=0·21; n=768) as well as the other mentioned variables (r=0·25–0·43; n=825). Simple indices based on β-glucuronidase and LDH or NAGase activity were tested as indicators of mastitis (SCC), but were not found to improve the diagnostic value. Future studies may further verify whether β-glucuronidase can compete with well-established indicators of mastitis in cows such as LDH or NAGase as well as determine whether β-glucuronidase activity, in combination with other indicators of mastitis, has an advantage. Nineteen milk samples from subclinical and latent cases of mastitis (individual quarters) were identified for specific pathogens (PCR method) and measured for β-glucuronidase activity. The activity was tested at four different pH levels (5·5, 6·0, 6·5 and 7·0) in order to investigate the possibility of discrimination between pathogens. However, all milk samples (strains of pathogens) had the same pH optimum for β-glucuronidase activity; this may indicate that enzymic activity from mammary tissue and leucocytes dominates over enzyme activity from bacterial cells.

Assessing and monitoring the environmental impact off Mar del Plata (38°S 57°W) led to the need to identify the cirratulid polychaetes. Cirratulids are indicators of moderately impacted areas or early indicators of organic contamination. Some subtidal sand patches affected by sewage discharge have high abundances of a new, rare and difficult to place species, such as Caulleriella trispina sp. nov. This species is characterized by having characters of three bitentaculate cirratulid genera, including three kinds of spines: unidentate, sub-bidentate and bidentate. The genera and their taxonomic characters are discussed as well as the need for monitoring and environmental assessments for correct identification. A key to the known species from the warm-temperate region of Argentine Cirratulidae is given.

A consensus of expert opinion was used to provide both face and consensual validity to a list of potential indicators of sheep welfare. This approach was used as a first step in the identification of valid welfare indicators for sheep. The consensus methodology of the National Institute of Health, using pre-meeting consultation and focus group discussions, was used to ascertain the consensus opinion of a panel of sheep welfare experts. The Farm Animal Welfare Council's five freedoms were used as a framework to organise a list of current on-farm welfare issues for sheep. The five freedoms were also the welfare criterion used to identify potential on-farm welfare indicators for sheep. As a result, experts identified 193 welfare issues for sheep and lambs managed on farms across England and Wales. Subsequently, a combination of animal- (n = 26), resource- (n = 13) and management- (n = 22) based indicators was suggested for (i) adult rams, (ii) adult ewes (male and female sheep, over 1 year old), (iii) growing lambs (male and female sheep, over 6 weeks to 1 year old) and (iv) young lambs (male and female lambs, 6 weeks old and under). The results from this study could therefore be used to inform the further development of valid methods of assessing the on-farm welfare of sheep.

The need to provide policy-makers with succinct, yet informative, messages is widespread in biodiversity management, and has led to the development of various “indicators” that can serve this purpose. While global data on the status of animal genetic resources for food and agriculture (AnGR) have been made available in a number of publications, the issue of developing a global indicator for AnGR has come to prominence only relatively recently. This paper describes the policy background to these developments and reviews initiatives in AnGR indicator development at national and regional levels. It also outlines some of the issues raised at an expert meeting on indicators organized by Food and Agriculture Organization of the United Nations (FAO) in January 2010. To date, AnGR indicator development has largely been restricted to Europe. Globally, options are restricted by the limited availability of data. The expert meeting favoured an indicator set that describes both the relative abundance of native versus non-native breeds and summarizes breed risk status. The former will require a new breed classification system that is acceptable to countries and applicable globally. The risk-status categories of approximately 64 percent of reported breeds are available in the Domestic Animal Diversity Information System, but a lack of regular updates of countries' breed population data means that trends cannot be described adequately at present.

Benthic polychaetes in the largest intertidal mudflat of Hong Kong were analysed for potentially stressed environmental conditions from pollution. Over a two-year period, a total of 14 species were recorded with the species diversity (H′(log2)) ranged from 0.54 to 2.4. The community was dominated by two large polychaetes (Neanthes glandicincta and Potamilla acuminata) and a number of small pollution tolerant species (Tharyx, Capitella capitata and Prionospio cirrifera). It was also characterized by both temporal and spatial variations in terms of abundance and species composition with the lowest species number observed at onshore Station B in August and the highest at offshore Station D in February. Two distinct polychaete communities were formed along the intertidal towards subtidal mudflat, particularly the assemblage at onshore Station B showing a significant difference from those at the other three stations (P < 0.05, N = 32). Results of the abundance–biomass comparison (ABC) indicated a typical impacted community at the whole study area, especially at Station B which was close to the Shenzhen River mouth and mangrove forest. The total organic carbon had a significant positive effect on the abundance of Capitella capitata (P = 0.037, N = 8) while sedimentary compositions were statistically related to the abundance of Potamilla acuminata, Tharyx and total abundance of polychaetes (P < 0.05, N = 8). In conclusion, both the polluted Shenzhen River and nearby mangrove may be responsible for the decline in species richness and diversity as well as changes in community structure. Polychaetes can be used as the appropriate indicators in habitat ecological condition assessment instead of the whole benthic community.