Matches in SemOpenAlex for { <https://semopenalex.org/work/W3176981401> ?p ?o ?g. }
- W3176981401 endingPage "100555" @default.
- W3176981401 startingPage "100555" @default.
- W3176981401 abstract "Recent findings on the contribution of smallholders to global food production and security challenge the values used in several reports of international organizations. The skewed distribution of the number of farms and the agricultural area by farm size may explain overestimations in small farms' food production. In fact, the highest values found in literature seem to be more strongly correlated to the total number of small farms than to the actual area they cover, suggesting errors in the estimation procedures. Additionally, a significant part of the small farms is not considered in official statistics, thus limiting the use of the data and also leading to underestimations. New efforts are thus needed to develop and apply methodologies to reduce the error and uncertainty of these estimates. In this paper we demonstrate the progress obtained by using a novel approach to provide new and more accurate estimates on the availability of food produced in small farms in 17 European regions (NUTS-3 level) distributed in 8 countries. Our assessment was carried out using two data sets: [1] data on crop area and production for a priori selected key products in each reference region, collected through questionnaires to small producers; [2] remote sensing-based products derived from Sentinel-1 and Sentinel-2 images, including crop type maps with ground-truth validation and small-scale farming systems probability maps. To reduce error propagation resulting from self-reported yield estimates, we used robust measures of central tendency based on Tukey's bi-weight function to compute the overall production in small farms in each region, minimizing the effect of outliers. The self-reported yields by small farmers were also compared with national and regional values of productivity per unit area and discussed in light of previous findings. Our results highlight not only the importance of small farms in the European context, but also their diversity in productivity levels. In addition to the novel methodological steps that underlie our study, which involve the combination of remote sensing data with data resulting from field surveys, the approach undertaken allows to better understand the contribution of small farmers to food security in each regional context, and the potential they have to support short food supply chains. Our findings can be key in supporting policy options that aim to enhance food security by reducing the EU footprint through strengthening and diversifying regional food systems." @default.
- W3176981401 created "2021-07-05" @default.
- W3176981401 creator A5006233905 @default.
- W3176981401 creator A5006647043 @default.
- W3176981401 creator A5007428941 @default.
- W3176981401 creator A5048635460 @default.
- W3176981401 creator A5053332753 @default.
- W3176981401 creator A5070501071 @default.
- W3176981401 creator A5085322393 @default.
- W3176981401 creator A5087847645 @default.
- W3176981401 date "2021-09-01" @default.
- W3176981401 modified "2023-10-16" @default.
- W3176981401 title "Assessing food availability: A novel approach for the quantitative estimation of the contribution of small farms in regional food systems in Europe" @default.
- W3176981401 cites W1885078460 @default.
- W3176981401 cites W1943531292 @default.
- W3176981401 cites W1964864732 @default.
- W3176981401 cites W1981618823 @default.
- W3176981401 cites W1984004063 @default.
- W3176981401 cites W1998718336 @default.
- W3176981401 cites W1999994413 @default.
- W3176981401 cites W2004611847 @default.
- W3176981401 cites W2006282227 @default.
- W3176981401 cites W2020744731 @default.
- W3176981401 cites W2044322927 @default.
- W3176981401 cites W2048898668 @default.
- W3176981401 cites W2050046062 @default.
- W3176981401 cites W2062063373 @default.
- W3176981401 cites W2065547779 @default.
- W3176981401 cites W2069282041 @default.
- W3176981401 cites W2072406365 @default.
- W3176981401 cites W2072465375 @default.
- W3176981401 cites W2074865628 @default.
- W3176981401 cites W2075294859 @default.
- W3176981401 cites W2092355202 @default.
- W3176981401 cites W2098035494 @default.
- W3176981401 cites W2101409709 @default.
- W3176981401 cites W2104522470 @default.
- W3176981401 cites W2114891756 @default.
- W3176981401 cites W2130412156 @default.
- W3176981401 cites W2163825505 @default.
- W3176981401 cites W2238145028 @default.
- W3176981401 cites W2262752710 @default.
- W3176981401 cites W2265009589 @default.
- W3176981401 cites W2308713724 @default.
- W3176981401 cites W2343549109 @default.
- W3176981401 cites W2523231810 @default.
- W3176981401 cites W2558835779 @default.
- W3176981401 cites W2558892021 @default.
- W3176981401 cites W2583659076 @default.
- W3176981401 cites W2588316148 @default.
- W3176981401 cites W2605993564 @default.
- W3176981401 cites W2607005861 @default.
- W3176981401 cites W2612890152 @default.
- W3176981401 cites W2620841190 @default.
- W3176981401 cites W2730699593 @default.
- W3176981401 cites W2757637497 @default.
- W3176981401 cites W2767953525 @default.
- W3176981401 cites W2789810855 @default.
- W3176981401 cites W2791296637 @default.
- W3176981401 cites W2794963840 @default.
- W3176981401 cites W2797758606 @default.
- W3176981401 cites W2800400701 @default.
- W3176981401 cites W2801083736 @default.
- W3176981401 cites W2886775386 @default.
- W3176981401 cites W2889930322 @default.
- W3176981401 cites W2889977714 @default.
- W3176981401 cites W2904263391 @default.
- W3176981401 cites W2914636868 @default.
- W3176981401 cites W2924914201 @default.
- W3176981401 cites W2925673241 @default.
- W3176981401 cites W2938488139 @default.
- W3176981401 cites W2943472941 @default.
- W3176981401 cites W2967136665 @default.
- W3176981401 cites W2969836208 @default.
- W3176981401 cites W2973219608 @default.
- W3176981401 cites W3016767801 @default.
- W3176981401 cites W3039537435 @default.
- W3176981401 cites W3122241100 @default.
- W3176981401 cites W3123343094 @default.
- W3176981401 cites W3124509220 @default.
- W3176981401 doi "https://doi.org/10.1016/j.gfs.2021.100555" @default.
- W3176981401 hasPublicationYear "2021" @default.
- W3176981401 type Work @default.
- W3176981401 sameAs 3176981401 @default.
- W3176981401 citedByCount "6" @default.
- W3176981401 countsByYear W31769814012021 @default.
- W3176981401 countsByYear W31769814012022 @default.
- W3176981401 countsByYear W31769814012023 @default.
- W3176981401 crossrefType "journal-article" @default.
- W3176981401 hasAuthorship W3176981401A5006233905 @default.
- W3176981401 hasAuthorship W3176981401A5006647043 @default.
- W3176981401 hasAuthorship W3176981401A5007428941 @default.
- W3176981401 hasAuthorship W3176981401A5048635460 @default.
- W3176981401 hasAuthorship W3176981401A5053332753 @default.
- W3176981401 hasAuthorship W3176981401A5070501071 @default.
- W3176981401 hasAuthorship W3176981401A5085322393 @default.
- W3176981401 hasAuthorship W3176981401A5087847645 @default.
- W3176981401 hasBestOaLocation W31769814011 @default.