Cycling and reciprocity in weighted food webs and economic networks

17851 7 97079 2 299189 document 97079 J of Industrial Ecology - 2021 - Iskrzy ski - Cycling and reciprocity in weighted food webs and economic networks.pdf application/pdf c3a1cc170075aa5bf1d0759fa080687e MD5 762626 2022-03-14 17:11:05 https://pure.iiasa.ac.at/id/eprint/17851/1/J%20of%20Industrial%20Ecology%20-%202021%20-%20Iskrzy%20ski%20-%20Cycling%20and%20reciprocity%20in%20weighted%20food%20webs%20and%20economic%20networks.pdf 17851 1 1 application/pdf text en public cc_by_4

J of Industrial Ecology - 2021 - Iskrzy ski - Cycling and reciprocity in weighted food webs and economic networks.pdf

published 97080 1 299201 document 97080 indexcodes.txt text/x-c db34b2e35d2e7e1475a90824f8e6e46c MD5 14262 2022-03-14 17:21:01 https://pure.iiasa.ac.at/id/eprint/17851/2/indexcodes.txt 17851 2 2 text/x-c other Generate index codes conversion from text to indexcodes en public

indexcodes.txt

lightbox.jpg

preview.jpg

medium.jpg

small.jpg

http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/97079 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/97079 http://eprints.org/relation/issmallThumbnailVersionOf https://pure.iiasa.ac.at/id/document/97079 archive 353 disk0/00/01/78/51 2022-03-14 17:13:18 2022-10-18 11:19:16 2022-03-14 17:13:18 article show Iskrzynski M. 2160 Janssen F. 9169 Picciolo F. Fath B. 7597 0000-0001-9440-6842 Ruzzenenti F. 9108 Cycling and reciprocity in weighted food webs and economic networks pub ASA EM SYRR Networks of mass flows describe the basic structure of ecosystems as food webs, and of economy as input–output tables. Matter leaving a node in these networks can return to it immediately as part of a reciprocal flow, or completing a longer, multi-node cycle. Previous research comparing cycling of matter in ecosystems and economy was limited by relying on unweighted or few networks. Overcoming this limitation, we study mass cycling in large datasets of weighted real-world networks: 169 mostly aquatic food webs and 155 economic networks. We quantify cycling as the portion of all flows that is due to cycles, known as the Finn Cycling Index (FCI). We find no correlation between FCI and the largest eigenvalues of unweighted adjacency matrices used as a cycling proxy in the past. Unweighted networks ignore the actual flow values that in reality can differ by even 10 orders of magnitude. FCI can be decomposed into a sum of contributions of individual nodes. This enables us to quantify how organisms recycling dead organic matter dominate mass cycling in weighted food webs. FCI of food webs has a geometric mean of 5%. We observe lower average mass cycling in the economic networks. The global production network had an FCI of 3.7% in 2011. Cycling in economic networks (input–output tables and trade relationships) and food webs strongly correlates with reciprocity. Encouraging reciprocity could enhance cycling in the economy by acting locally, without the need to perfectly know its global structure. 2022-06 published Wiley-Blackwell 10.1111/jiec.13217 2938 3029 84 3075 public Journal of Industrial Ecology 26 3 838-849 TRUE 1530-9290 no info:eu-repo/semantics/article