Ecology: Cycling index

Nature ◽  
1983 ◽  
Vol 304 (5925) ◽  
pp. 397-397 ◽  
Author(s):  
John T. Finn
Keyword(s):  
Cycling Index

Modified cycling index for ecological applications

1984 ◽  
Vol 25 (1-3) ◽  
pp. 69-83 ◽  
Author(s):  
Bernard C. Patten ◽  
Masahiko Higashi
Keyword(s):  
Ecological Applications ◽  
Cycling Index

scholarly journals The strength of domestic production networks: an economic application of the Finn cycling index

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Erik Braun ◽  
Tamás Sebestyén ◽  
Tibor Kiss
Keyword(s):  
Production Networks ◽  
Supply Networks ◽  
Economic Implications ◽  
Domestic Production ◽  
Systemic Risks ◽  
Sectoral Decomposition ◽  
National Economies ◽  
Positive Effect ◽  
Cycling Index

AbstractThere has been an increasing interest in analyzing the structure of domestic and global supply chains/networks in the past decade. Concerns about potential (systemic) risks resulting from overdependence on global supply networks have been magnified during the lockdowns triggered by the COVID-19 pandemic in the last year. Strengthening local and/or domestic networks may be an adequate approach to overcome the severe economic implications of this overdependence, but it also rises the question of how one can measure the strength of domestic supply/production networks and design an appropriate structure. The objective of this paper is to propose a method for measurement and to provide a first-cut analysis with this method on a sample of economies. Building on ecological network analysis, we borrow the Finn cycling index from its toolbox and show a ranking of countries with respect to the strength of their domestic production networks based on this index. The results suggest that the countries are very heterogeneous both in terms of the level of cycling index and its sectoral decomposition. Using panel-econometric techniques, we point out the role of the openness and structural asymmetry in shaping this strength, also controlling for other macroeconomic characteristics of the economies. The estimates reveal that openness has a negative, while asymmetry has a positive effect on this index, but other country-specific characteristics also play a role in shaping the systemic operation of national economies as measured by the Finn cycling index.

scholarly journals Multiple role of diazotrophs in coupling nitrogen and iron biogeochemical processes through vertical soil profiles of different paddy soil types

2020 ◽  
Author(s):  
Xiaomi Wang ◽  
Ying Teng ◽  
Wenjie Ren ◽  
Yuntao Li ◽  
Teng Yang ◽  
...  
Keyword(s):  
Paddy Soil ◽  
Soil Types ◽  
Soil Profiles ◽  
Biogeochemical Processes ◽  
Multiple Role ◽  
Iron Cycling ◽  
Element Cycling ◽  
Edaphic Properties ◽  
Developmental Features ◽  
Cycling Index

Abstract Background: Soil microbiota exert fundamental functions in maintaining ecosystem functioning and services, including pedogenesis, biogeochemical processes and plant productivity, especially for agriculture system. Despite their ubiquitousness from the epipedon to deep soil, the vertical characteristics of microbiomes (especially for functional microorganisms) and their contribution to soil element cycling when considering soil developmental features are poorly understood. Here, nine profiles (0~135 cm) of two canonical paddy soil types (Fe-accumuli- and Hapli-stagnic anthrosols; 111 samples in total) at a local scale were collected, which represented relative long- and short-term water flooding history, respectively. The vertical variations in edaphic characteristics and assemblies of soil bacterial and diazotrophic communities, and microbial contribution to element cycling were explored. Results: Across soil profiles, Hapli-stagnic anthrosol was characteristic of higher concentrations in free iron oxides and total iron in the epipedon, and contained higher amounts of ammonia along the subsurface layers, as compared with acidic Fe-accumuli-anthrosol. Community assemblies of bacteria and diazotrophs, as well as edaphic properties, were mainly shaped by soil depths, followed by soil types. Furthermore, random forest analysis revealed that, for Fe-accumuli-anthrosol, available Fe could best predict nitrogen cycling index and nitrogen status was significantly related to iron cycling index; while in Hapli-stagnic anthrosol, available sulfur was the most important variable in predicting nitrogen and iron cycling indices. Among the dominant genera, some distinctive biomarkers that varied remarkably between the two soil types were noticeable for their contributions to both nitrogen and iron transformation, including iron-reducing diazotroph Geobacter and iron-oxidizing bacterium Rhodanobacter that characterized Fe-accumuli type, and sulfur reducing diazotroph Desulfobacca as main discriminant clades for Hapli-stagnic type.Conclusions: A novel perspective was proposed on the vertical characteristics of edaphic properties and bacterial and diazotrophic communities in the two paddy soil types. The findings indicated the nitrogen-iron cycling processes for Fe-accumuli-anthrosol and nitrogen-iron-sulfur coupling interaction for Hapli-stagnic anthrosol, advancing our understanding of the significant multiple role played by soil microorganisms, especially for diazotrophs, in element biogeochemical cycles.

A cycling index for ecosystems

Nature ◽  
1981 ◽  
Vol 292 (5819) ◽  
pp. 105-105 ◽  
Author(s):  
Robert M. May
Keyword(s):  
Cycling Index

The comparative ecology of six marine ecosystems

1991 ◽  
Vol 333 (1266) ◽  
pp. 15-29 ◽  
Keyword(s):  
Marine Ecosystem ◽  
Inverse Correlation ◽  
Marine Ecosystems ◽  
Comparative Ecology ◽  
Benguela Upwelling ◽  
System Maturity ◽  
Ecosystem Evolution ◽  
The Baltic ◽  
Aggregate Amount ◽  
Cycling Index

We compare six marine ecosystems worldwide, using a network analysis of carbon flows for the Swartkops and Ems estuaries, Chesapeake Bay, the Baltic Sea and the Peruvian and Benguela upwelling regions. We find that there is an inverse correlation between the Finn Cycling Index (FCI) and the normalized internal ascendancy or system maturity ( A i : C i ). We also show that there is a clear distinction between system maturity ( A i : C i ) and the production: biomass ( P :B ) ratio; in upwelling systems the P:B and A i : C i ratios are both high, whereas in estuarine systems the ratio is low. The P:B ratio thus cannot be used as an indicator of marine ecosystem evolution. Contrary to current views on ecosystems, the aggregate amount of cycling of materials, such as carbon, is not seen as an indication of system maturity but rather of stress. The reason that higher stressed systems are associated with a higher throughput or FCI could be because perturbations frequently impact higher-level species to a greater extent than the lower trophic components. Any release of standing biomass from these higher levels could therefore be taken up through increased recycling via short intense loops. Overall, we conclude that a network representation is a suitable methodology for inter-ecosystem comparisons.

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