Reviewing the use of resilience concepts in forest sciences

Purpose of the review Resilience is a key concept to deal with an uncertain future in forestry. In recent years, it has received increasing attention from both research and practice. However, a common understanding of what resilience means in a forestry context, and how to operationalise it is lacking. Here, we conducted a systematic review of the recent forest science literature on resilience in the forestry context, synthesising how resilience is defined and assessed. Recent findings Based on a detailed review of 255 studies, we analysed how the concepts of engineering resilience, ecological resilience, and social-ecological resilience are used in forest sciences. A clear majority of the studies applied the concept of engineering resilience, quantifying resilience as the recovery time after a disturbance. The two most used indicators for engineering resilience were basal area increment and vegetation cover, whereas ecological resilience studies frequently focus on vegetation cover and tree density. In contrast, important social-ecological resilience indicators used in the literature are socio-economic diversity and stock of natural resources. In the context of global change, we expected an increase in studies adopting the more holistic social-ecological resilience concept, but this was not the observed trend. Summary Our analysis points to the nestedness of these three resilience concepts, suggesting that they are complementary rather than contradictory. It also means that the variety of resilience approaches does not need to be an obstacle for operationalisation of the concept. We provide guidance for choosing the most suitable resilience concept and indicators based on the management, disturbance and application context

Nutritional quality of packaged foods targeted at children in Brazil: which ones should be eligible to bear nutrient claims?

This study aimed to assess the nutritional quality of food products marketed at children, with and without nutrient claims, using two different approaches.Analyses were performed on a dataset with food composition and labelling data from every packaged food marketed at children sold in a major Brazilian supermarket (n=535). Foods were classified as 'healthier' and 'less healthy' according to the UK/Ofcom nutrient profile model and to the NOVA classification based on level of food processing. Pearson's chi-squared test was used to compare proportions between models. Agreement was assessed using Cohen's kappa statistic (P<0.05).The NOVA model was stricter than the UK/Ofcom model, classifying more products as 'less healthy' (91.4%) than the nutrient profile based model (75.0%) (P<0.001). Agreement between models was 79.4% (k=0.30), due to 72.9% (n=390) of products being categorised as 'less healthy' by both models, and 6.5% (n=35) as 'healthier'. Half of the food products marketed at children from the database (270; 50.5%) bore nutrient claims. From these products with nutrient claims, 95.9% (92.8-98.0) were classified as 'less healthy' by the NOVA model, whilst this percentage was 74.1% (68.4-79.2) according to the UK/Ofcom model (P<0.05).The high number of foods with low nutritional quality being marketed at children via product packaging and nutrient claims should be of concern to policy makers wanting to improve children's diets and to tackle childhood obesity. The implementation of nutritional quality criteria to ensure that foods targeted at children should be eligible to bear nutrient claims on their labels could avoid a situation where claims mask the overall nutritional status of a food.International Journal of Obesity accepted article preview online, 28 September 2016. doi:10.1038/ijo.2016.167

Nutritional quality of packaged foods targeted at children in Brazil: which ones should be eligible to bear nutrient claims?

This study aimed to assess the nutritional quality of food products marketed at children, with and without nutrient claims, using two different approaches.Analyses were performed on a dataset with food composition and labelling data from every packaged food marketed at children sold in a major Brazilian supermarket (n=535). Foods were classified as 'healthier' and 'less healthy' according to the UK/Ofcom nutrient profile model and to the NOVA classification based on level of food processing. Pearson's chi-squared test was used to compare proportions between models. Agreement was assessed using Cohen's kappa statistic (P<0.05).The NOVA model was stricter than the UK/Ofcom model, classifying more products as 'less healthy' (91.4%) than the nutrient profile based model (75.0%) (P<0.001). Agreement between models was 79.4% (k=0.30), due to 72.9% (n=390) of products being categorised as 'less healthy' by both models, and 6.5% (n=35) as 'healthier'. Half of the food products marketed at children from the database (270; 50.5%) bore nutrient claims. From these products with nutrient claims, 95.9% (92.8-98.0) were classified as 'less healthy' by the NOVA model, whilst this percentage was 74.1% (68.4-79.2) according to the UK/Ofcom model (P<0.05).The high number of foods with low nutritional quality being marketed at children via product packaging and nutrient claims should be of concern to policy makers wanting to improve children's diets and to tackle childhood obesity. The implementation of nutritional quality criteria to ensure that foods targeted at children should be eligible to bear nutrient claims on their labels could avoid a situation where claims mask the overall nutritional status of a food.International Journal of Obesity accepted article preview online, 28 September 2016. doi:10.1038/ijo.2016.167

The adaptation, validation, and application of a methodology for estimating the added sugar content of packaged food products when total and added sugar labels are not mandatory

Nutrition policies recommend limiting the intake of added sugars. Information about added sugar content is not provided on packaged foods in Brazil, and even total sugar content information is often absent. This study aimed to (i) adapt a systematic methodology for estimating added sugar content in packaged foods when information on total and added sugar contents is not mandatory on labels, (ii) apply the adapted methodology to a Brazilian food composition database to estimate the extent of added sugar content in the national food supply, and (iii) assess the validity of the adapted methodology. We developed an 8-step protocol to estimate added sugar content using information provided on food labels. These steps included objective and subjective estimation procedures. Mean, median, and quartiles of the added sugar content of 4,805 Brazilian foods were determined and presented by food categories. Validity was assessed using a US database containing values of added sugar as displayed on the product labels. Objective estimation of added sugar content could be conducted for 3,119 products (64.9%), with the remainder 1,686 (35.1%) being assessed using subjective estimation. We found that 3,093 (64.4%) foods contained added sugar ingredients and the overall estimated median added sugar content was 4.7 g (interquartile range 0–29.3) per 100 g or 100 ml. The validity testing on US data for products with known added sugar values showed excellent agreement between estimated and reported added sugar values (ICC = 0.98). This new methodology is a useful approach for estimating the added sugar content of products in countries where both added and total sugar information are not mandated on food labels. The method can be used to monitor added sugar levels and support interventions aimed at limiting added sugar intake

Influence of sugar label formats on consumer understanding and amount of sugar in food choices: a systematic review and meta-analyses

CONTEXT: Reducing population intakes of sugar has become a focus of many national and international public health policies. Packaged foods and beverages are key contributors to sugar intakes, and food labels can be an effective tool to reduce sugar consumption. OBJECTIVE: The aim of this systematic review was to examine the influence of sugar label formats on 2 outcomes: consumers' understanding of sugar information, and the amount of sugar in consumers' food choices. DATA SOURCES: Scopus, Web of Science, PubMed, CAB Abstracts, SciELO, and the Cochrane Library databases were searched up until February 4, 2020. STUDY SELECTION: Randomized experiments or quasi-experiments were included if they investigated the influence of sugar label formats on consumers' understanding of sugar information or on the amount of sugar in consumers' food choices. DATA EXTRACTION: Data were extracted independently by 2 authors. Mean differences (MDs), standardized mean differences (SMDs), and odds ratios (ORs) plus 95%CIs were used to describe between-group differences for intervention label formats using random-effects models. RESULTS: Twenty-three studies, which examined 39 comparisons, were included. Label formats using "high in sugar" interpretative texts (traffic light labels [MD 41.6; 95%CI 37.9-45.4] and warning signs [OR 1.33; 95%CI 1.0-1.78]) were most effective in increasing consumers' understanding of the sugar content in packaged foods. Health warning messages (SMD -0.32; 95%CI -0.43 to -0.22), graphical depictions of sugar content in teaspoons (SMD -0.32; 95%CI -0.48 to -0.17), and warning signs (SMD -0.24; 95%CI -0.35 to -0.13) were most effective for influencing consumers to choose products with lower sugar content. CONCLUSIONS: Formats that provide an interpretation of sugar information, particularly those indicating if a product is high in sugar, were more helpful than only numerical information for improving consumer understanding and promoting food choices with less sugar. SYSTEMATIC REVIEW REGISTRATION: PROSPERO registration number CRD42018081222

Indirect interactions between invasive and native plants via pollinators

In generalised pollination systems, the presence of alien plant species may change the foraging behaviour of pollinators on native plant species, which could result in reduced reproductive success of native plant species. We tested this idea of indirect interactions on a small spatial and temporal scale in a field study in Mauritius, where the invasive strawberry guava, Psidium cattleianum, provides additional floral resources for insect pollinators. We predicted that the presence of flowering guava would indirectly and negatively affect the reproductive success of the endemic plant Bertiera zaluzania, which has similar flowers, by diverting shared pollinators. We removed P. cattleianum flowers within a 5-m radius from around half the B. zaluzania target plants (treatment) and left P. cattleianum flowers intact around the other half (control). By far, the most abundant and shared pollinator was the introduced honey bee, Apis mellifera, but its visitation rates to treatment and control plants were similar. Likewise, fruit and seed set and fruit size and weight of B. zaluzania were not influenced by the presence of P. cattleianum flowers. Although other studies have shown small-scale effects of alien plant species on neighbouring natives, we found no evidence for such negative indirect interactions in our system. The dominance of introduced, established A. mellifera indicates their replacement of native insect flower visitors and their function as pollinators of native plant species. However, the pollination effectiveness of A. mellifera in comparison to native pollinators is unknown