Trabajo presentado en el COMPLEX NETWORKS 2020 (The Ninth International Conference on Complex Networks and their Applications), celebrado en Madrid del 1 al 3 de diciembre de 2020.
Seagrasses are important marine foundation species that are reported to be declining worldwide, with almost 15% of species considered threatened. Seagrasses are highly productive plants that reconfigure water flow and influence nutrient cycling, as well as provide critical habitat for a wide array of fish and invertebrate species. Yet, many of these seagrass‐dependent species, including economically important fishes and invertebrates, are themselves in danger of overexploitation or extinction. In fact, there is on average more than one threatened associated species for every seagrass species across the globe. Links between threatened seagrasses and their dependent communities illustrate the importance of an ecosystem‐based management approach that incorporates interdependencies and facilitation among species.
where N = number of sampling stations; t = Student's t at a given probability level; S = standard deviation, X = estimated true population mean; d = permissible error of the final mean. Thus, the number of sampling stations necessary to characterize the mean macrophyte standing crop changes proportionally to the square of the coeffi cient of variation and to the inverse of the square of the permissible error (Figure 1). Because the coefficient of variation associated with the mean macrophyte standing crop is often> 50 %, the number of sampling stations necessary to estimate the mean macrophyte standing crop, especially with a permissible error of 10 % as is often re- ABSTRACT 10% Data from 55 Florida lakes were used to demonstrate that the maximum measured standing crop of emergent, floating-leaved, and submersed plants can be used to pro vide a simple characterization of macrophyte standing crops in the littoral zones of lakes. The maximum standing crop was strongly related to the mean standing crop of emergent (R2 = 0.83), floating-leaved (R2 = 0.64), and submersed (R2 = 0.85) macrophytes, and there was also a strong relationship (R2 = 0.79) when data from all plant types were combined. Our best-fit regression equations were In EB = 1.07 In MEB - 1.19, In FB = 1.28 In MFB - 2.73, In SB = 1.20 In MSB - 1.98, and In TMB = 1.20 In MTMB - 2.11 where EB, FB, SB, and TMB are the average standing crops (g dry wt m- 2 ) of emergent, float ing-leaved, submersed, and total macrophytes respectively, and MEB, MFB, MSB, and MTMB are the maximum standing crops measured for the different groups. Stand ard errors of estimates for the average standing crops of the different plant types in individual lakes were of similar magnitude to the errors of estimates obtained for the <JJ mean-maximum standing crop regression equations. ~ These analyses suggest that the maximum standing crop ~ of aquatic macrophytes can provide useful information to ~ characterize macrophyte standing crop in the littoral zone of lakes. ~ E
Stable carbon isotope measurements (δ 13 C) were used to assess the sources of carbon assimilated by the fan mussel Pinna nobilis , in sea grass Posidonia oceanica meadows, and an associated shrimp Pontonia pinnophylax which occurs within this bivalve's mantle cavity. The primary carbon sources available to both animals displayed a wide range of δ 13 C values, from −12·3 to −22·3‰. The δ 13 C and δ 15 N of Pinna nobilis and Pontonia pinnophylax suggest that they assimilate carbon from similar sources, occupy comparable trophic levels and that their association is commensal.
MEPS Marine Ecology Progress Series Contact the journal Facebook Twitter RSS Mailing List Subscribe to our mailing list via Mailchimp HomeLatest VolumeAbout the JournalEditorsTheme Sections MEPS 236:89-97 (2002) - doi:10.3354/meps236089 Depth-acclimation of photosynthesis, morphology and demography of Posidonia oceanica and Cymodocea nodosa in the Spanish Mediterranean Sea Birgit Olesen1,*, Susana Enríquez2, Carlos M. Duarte3, Kaj Sand-Jensen4 1Department of Plant Ecology, University of Aarhus, Nordlandsvej 68, 8240 Riskov, Denmark 2Unidad Académia de Puerto Morelos, Instituto de Ciencias del Mar y Limnología, Universidad Nacional Autónoma de México, Apto. Postal 1152, 77500 Cancún, Quintana Roo, Mexico 3Instituto Mediterráno de Estudios Avanzados (SCIC-UIB), Miquel Marqués 21, 07190 Esporles, Islas Baleares, Spain 4Freshwater Biological Laboratory, University of Copenhagen, 51 Helsingørsgade, 3400 Hillerød, Denmark *E-mail: birgit.olesen@biology.au.dk ABSTRACT: Depth-related changes in population structure, biomass partitioning and photosynthesis were studied in populations of Cymodocea nodosa and Posidonia oceanica on the NE Spanish coast. The population structure of both species changed much more with depth than leaf morphology and physiology. Leaf biomass declined 5- to 7-fold along the depth gradient reducing self-shading within the canopy, whereas the leaf area per unit leaf biomass and the photosynthesis-light response varied less than 1.5-fold among depths. Moreover, C. nodosa developed a greater proportion of leaves relative to rhizomes and roots at greater depths, thereby promoting the balance between photosynthesis and respiration in the shoots. C. nodosa, being a potentially fast-growing species compared to P. oceanica, had higher maximum photosynthetic and respiration rates as well as light compensation points for photosynthesis. Photosynthetic efficiency at low light, however, was almost the same for the 2 species as suggested by the relatively small differences in mass-specific light absorption. Only C. nodosa acclimated physiologically to depth as light-use efficiency increased, and light compensation point declined significantly from shallow to deep water. P. oceanica, however, possessed low respiration rates and slightly lower light compensation points values than C. nodosa throughout the depth range. Shoot mortality and recruitment rates were unaffected by rooting depth. C. nodosa stand experienced fast shoot turnover compared to P. oceanica, and shoot longevity of the former species decreased significantly with depth, suggesting higher risk of patch mortality at the depth limit. In contrast, P. oceanica shoot longevity was highest at great depths. Overall, these species differences in leaf metabolism and shoot dynamics suggest that C. nodosa responds faster to changing light conditions, whereas P. oceanica is able to survive longer at low irradiance due to low growth and respiratory maintenance rates. KEY WORDS: Seagrasses · Biomass partitioning · Shoot demography · Leaf production · Photosynthetic light response Full text in pdf format PreviousNextExport citation RSS - Facebook - Tweet - linkedIn Cited by Published in MEPS Vol. 236. Online publication date: July 03, 2002 Print ISSN: 0171-8630; Online ISSN: 1616-1599 Copyright © 2002 Inter-Research.