Productivity and Carbon Transfer in Pelagic Food Webs in Response to Carbon, Nutrients and Light
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7.014 Handout PRODUCTIVITY: the “METABOLISM” of ECOSYSTEMS
7.014 Handout PRODUCTIVITY: THE “METABOLISM” OF ECOSYSTEMS Ecologists use the term “productivity” to refer to the process through which an assemblage of organisms (e.g. a trophic level or ecosystem assimilates carbon. Primary producers (autotrophs) do this through photosynthesis; Secondary producers (heterotrophs) do it through the assimilation of the organic carbon in their food. Remember that all organic carbon in the food web is ultimately derived from primary production. DEFINITIONS Primary Productivity: Rate of conversion of CO2 to organic carbon (photosynthesis) per unit surface area of the earth, expressed either in terns of weight of carbon, or the equivalent calories e.g., g C m-2 year-1 Kcal m-2 year-1 Primary Production: Same as primary productivity, but usually expressed for a whole ecosystem e.g., tons year-1 for a lake, cornfield, forest, etc. NET vs. GROSS: For plants: Some of the organic carbon generated in plants through photosynthesis (using solar energy) is oxidized back to CO2 (releasing energy) through the respiration of the plants – RA. Gross Primary Production: (GPP) = Total amount of CO2 reduced to organic carbon by the plants per unit time Autotrophic Respiration: (RA) = Total amount of organic carbon that is respired (oxidized to CO2) by plants per unit time Net Primary Production (NPP) = GPP – RA The amount of organic carbon produced by plants that is not consumed by their own respiration. It is the increase in the plant biomass in the absence of herbivores. For an entire ecosystem: Some of the NPP of the plants is consumed (and respired) by herbivores and decomposers and oxidized back to CO2 (RH). -
Lesson Overview from There Depends on Who Eats Whom! 3.3 Energy Flow in Ecosystems
THINK ABOUT IT What happens to energy stored in body tissues when one organism eats another? Energy moves from the “eaten” to the “eater.” Where it goes Lesson Overview from there depends on who eats whom! 3.3 Energy Flow in Ecosystems Food Chains A food chain is a series of steps in which organisms transfer energy by eating and being eaten. Food chains can vary in length. An example from the Everglades is shown. Food Chains Food Chains In some aquatic food chains, such as the example shown, Larger fishes, like the largemouth bass, eat the small fishes. primary producers are a mixture of floating algae called The bass are preyed upon by large wading birds, such as the phytoplankton and attached algae. These producers are anhinga, which may ultimately be eaten by an alligator. eaten by small fishes, such as flagfish. Food Chains Food Webs There are four steps in this food chain. In most ecosystems, feeding relationships are much more The top carnivore is four steps removed from the primary complicated than the relationships described in a single, simple producer. chain because many animals eat more than one kind of food. Ecologists call this network of feeding interactions a food web. An example of a food web in the Everglades is shown. Food Chains Within Food Webs Decomposers & Detritivores in Food Webs Each path through a food web is a food chain. Most producers die without being eaten. In the detritus A food web, like the one shown, links all of the food chains in an pathway, decomposers convert that dead material to detritus, ecosystem together. -
Trophic Levels
Trophic Levels Douglas Wilkin, Ph.D. Jean Brainard, Ph.D. Say Thanks to the Authors Click http://www.ck12.org/saythanks (No sign in required) AUTHORS Douglas Wilkin, Ph.D. To access a customizable version of this book, as well as other Jean Brainard, Ph.D. interactive content, visit www.ck12.org CK-12 Foundation is a non-profit organization with a mission to reduce the cost of textbook materials for the K-12 market both in the U.S. and worldwide. Using an open-content, web-based collaborative model termed the FlexBook®, CK-12 intends to pioneer the generation and distribution of high-quality educational content that will serve both as core text as well as provide an adaptive environment for learning, powered through the FlexBook Platform®. Copyright © 2015 CK-12 Foundation, www.ck12.org The names “CK-12” and “CK12” and associated logos and the terms “FlexBook®” and “FlexBook Platform®” (collectively “CK-12 Marks”) are trademarks and service marks of CK-12 Foundation and are protected by federal, state, and international laws. Any form of reproduction of this book in any format or medium, in whole or in sections must include the referral attribution link http://www.ck12.org/saythanks (placed in a visible location) in addition to the following terms. Except as otherwise noted, all CK-12 Content (including CK-12 Curriculum Material) is made available to Users in accordance with the Creative Commons Attribution-Non-Commercial 3.0 Unported (CC BY-NC 3.0) License (http://creativecommons.org/ licenses/by-nc/3.0/), as amended and updated by Creative Com- mons from time to time (the “CC License”), which is incorporated herein by this reference. -
Fish Biomass in Tropical Estuaries: Substantial Variation in Food Web Structure, Sources of Nutrition and Ecosystem-Supporting Processes
Estuaries and Coasts DOI 10.1007/s12237-016-0159-0 Fish Biomass in Tropical Estuaries: Substantial Variation in Food Web Structure, Sources of Nutrition and Ecosystem-Supporting Processes Marcus Sheaves1,2 & Ronald Baker1,2 & Kátya G. Abrantes1 & Rod M. Connolly3 Received: 22 January 2016 /Revised: 1 June 2016 /Accepted: 27 August 2016 # Coastal and Estuarine Research Federation 2016 Abstract Quantification of key pathways sustaining ecosys- sources of nutrition and probably unequal flow of productivity tem function is critical for underpinning informed decisions into higher levels of the food web in different parts of the on development approvals, zoning and offsets, ecosystem res- estuary. In turn, this suggests substantial qualitative and quan- toration and for meaningful environmental assessments and titative differences in ecosystem-supporting processes in dif- monitoring. To develop a more quantitative understanding of ferent estuary reaches. the importance and variation in food webs and nutrient flows in tropical estuaries, we investigated the spatio-temporal dis- Keywords Mangrove . Nekton . Penaeid . Spatial tribution of biomass of fish across 28 mangrove-lined estuar- prioritisation . Restoration . Offset ies in tropical Australia. We evaluated the extent to which nekton biomass in tropical estuaries responded to spatial and temporal factors and to trophic identity. Biomass was domi- Introduction nated by two trophic groups, planktivores and macrobenthos feeders. Contributions by other trophic groups, such as Although their high productivity and nursery-ground values detritivores and microbenthos feeders, were more variable. make estuaries and their associated wetlands among the most Total biomass and the biomass of all major trophic groups valuable ecosystems on the planet (Choi and Wang 2004; were concentrated in downstream reaches of estuaries. -
Relationships Between Net Primary Production, Water Transparency, Chlorophyll A, and Total Phosphorus in Oak Lake, Brookings County, South Dakota
Proceedings of the South Dakota Academy of Science, Vol. 92 (2013) 67 RELATIONSHIPS BETWEEN NET PRIMARY PRODUCTION, WATER TRANSPARENCY, CHLOROPHYLL A, AND TOTAL PHOSPHORUS IN OAK LAKE, BROOKINGS COUNTY, SOUTH DAKOTA Lyntausha C. Kuehl and Nels H. Troelstrup, Jr.* Department of Natural Resource Management South Dakota State University Brookings, SD 57007 *Corresponding author email: [email protected] ABSTRACT Lake trophic state is of primary concern for water resource managers and is used as a measure of water quality and classification for beneficial uses. Secchi transparency, total phosphorus and chlorophyll a are surrogate measurements used in the calculation of trophic state indices (TSI) which classify waters as oligotrophic, mesotrophic, eutrophic or hypereutrophic. Yet the relationships between these surrogate measurements and direct measures of lake productivity vary regionally and may be influenced by external factors such as non-algal tur- bidity. Prairie pothole basins, common throughout eastern South Dakota and southwestern Minnesota, are shallow glacial lakes subject to frequent winds and sediment resuspension. Light-dark oxygen bottle methodology was employed to evaluate vertical planktonic production within an eastern South Dakota pothole basin. Secchi transparency, total phosphorus and planktonic chlorophyll a were also measured from each of three basin sites at biweekly intervals throughout the 2012 growing season. Secchi transparencies ranged between 0.13 and 0.25 meters, corresponding to an average TSISD value of 84.4 (hypereutrophy). Total phosphorus concentrations ranged between 178 and 858 ug/L, corresponding to an average TSITP of 86.7 (hypereutrophy). Chlorophyll a values corresponded to an average TSIChla value of 69.4 (transitional between eutrophy and hypereutro- phy) and vertical production profiles yielded areal net primary productivity val- ues averaging 288.3 mg C∙m-2∙d-1 (mesotrophy). -
Structure of Tropical River Food Webs Revealed by Stable Isotope Ratios
OIKOS 96: 46–55, 2002 Structure of tropical river food webs revealed by stable isotope ratios David B. Jepsen and Kirk O. Winemiller Jepsen, D. B. and Winemiller, K. O. 2002. Structure of tropical river food webs revealed by stable isotope ratios. – Oikos 96: 46–55. Fish assemblages in tropical river food webs are characterized by high taxonomic diversity, diverse foraging modes, omnivory, and an abundance of detritivores. Feeding links are complex and modified by hydrologic seasonality and system productivity. These properties make it difficult to generalize about feeding relation- ships and to identify dominant linkages of energy flow. We analyzed the stable carbon and nitrogen isotope ratios of 276 fishes and other food web components living in four Venezuelan rivers that differed in basal food resources to determine 1) whether fish trophic guilds integrated food resources in a predictable fashion, thereby providing similar trophic resolution as individual species, 2) whether food chain length differed with system productivity, and 3) how omnivory and detritivory influenced trophic structure within these food webs. Fishes were grouped into four trophic guilds (herbivores, detritivores/algivores, omnivores, piscivores) based on literature reports and external morphological characteristics. Results of discriminant function analyses showed that isotope data were effective at reclassifying individual fish into their pre-identified trophic category. Nutrient-poor, black-water rivers showed greater compartmentalization in isotope values than more productive rivers, leading to greater reclassification success. In three out of four food webs, omnivores were more often misclassified than other trophic groups, reflecting the diverse food sources they assimilated. When fish d15N values were used to estimate species position in the trophic hierarchy, top piscivores in nutrient-poor rivers had higher trophic positions than those in more productive rivers. -
Ecology (Pyramids, Biomagnification, & Succession
ENERGY PYRAMIDS & Freshmen Biology FOOD CHAINS/FOOD WEBS May 4 – May 8 Lecture ENERGY FLOW •Energy → powers life’s processes •Energy = ATP! •Flow of energy determines the system’s ability to sustain life FEEDING RELATIONSHIPS • Energy flows through an ecosystem in one direction • Sun → autotrophs (producers) → heterotrophs (consumers) FOOD CHAIN VS. FOOD WEB FOOD CHAINS • Energy stored by producers → passed through an ecosystem by a food chain • Food chain = series of steps in which organisms transfer energy by eating and being eaten FOOD WEBS •Feeding relationships are more complex than can be shown in a food chain •Food Web = network of complex interactions •Food webs link all the food chains in an ecosystem together ECOLOGICAL PYRAMIDS • Used to show the relationships in Ecosystems • There are different types: • Energy Pyramid • Biomass Pyramid • Pyramid of numbers ENERGY PYRAMID • Only part of the energy that is stored in one trophic level can be passed on to the next level • Much of the energy that is consumed is used for the basic functions of life (breathing, moving, reproducing) • Only 10% is used to produce more biomass (10 % moves on) • This is what can be obtained from the next trophic level • All of the other energy is lost 10% RULE • Only 10% of energy (from organisms) at one trophic level → the next level • EX: only 10% of energy/calories from grasses is available to cows • WHY? • Energy used for bodily processes (growth/development and repair) • Energy given off as heat • Energy used for daily functioning/movement • Only 10% of energy you take in should be going to your actual biomass/weight which another organism could eat BIOMASS PYRAMID • Total amount of living tissue within a given trophic level = biomass • Represents the amount of potential food available for each trophic level in an ecosystem PYRAMID OF NUMBERS •Based on the number of individuals at each trophic level. -
A Review of Planktivorous Fishes: Their Evolution, Feeding Behaviours, Selectivities, and Impacts
Hydrobiologia 146: 97-167 (1987) 97 0 Dr W. Junk Publishers, Dordrecht - Printed in the Netherlands A review of planktivorous fishes: Their evolution, feeding behaviours, selectivities, and impacts I Xavier Lazzaro ORSTOM (Institut Français de Recherche Scientifique pour le Développement eri Coopération), 213, rue Lu Fayette, 75480 Paris Cedex IO, France Present address: Laboratorio de Limrzologia, Centro de Recursos Hidricob e Ecologia Aplicada, Departamento de Hidraulica e Sarzeamento, Universidade de São Paulo, AV,DI: Carlos Botelho, 1465, São Carlos, Sï? 13560, Brazil t’ Mail address: CI? 337, São Carlos, SI? 13560, Brazil Keywords: planktivorous fish, feeding behaviours, feeding selectivities, electivity indices, fish-plankton interactions, predator-prey models Mots clés: poissons planctophages, comportements alimentaires, sélectivités alimentaires, indices d’électivité, interactions poissons-pltpcton, modèles prédateurs-proies I Résumé La vision classique des limnologistes fut de considérer les interactions cntre les composants des écosystè- mes lacustres comme un flux d’influence unidirectionnel des sels nutritifs vers le phytoplancton, le zoo- plancton, et finalement les poissons, par l’intermédiaire de processus de contrôle successivement physiqucs, chimiques, puis biologiques (StraSkraba, 1967). L‘effet exercé par les poissons plaiictophages sur les commu- nautés zoo- et phytoplanctoniques ne fut reconnu qu’à partir des travaux de HrbáEek et al. (1961), HrbAEek (1962), Brooks & Dodson (1965), et StraSkraba (1965). Ces auteurs montrèrent (1) que dans les étangs et lacs en présence de poissons planctophages prédateurs visuels. les conimuiiautés‘zooplanctoniques étaient com- posées d’espèces de plus petites tailles que celles présentes dans les milieux dépourvus de planctophages et, (2) que les communautés zooplanctoniques résultantes, composées d’espèces de petites tailles, influençaient les communautés phytoplanctoniques. -
Cascading Effects of Predator Richness
REVIEWS REVIEWS REVIEWS Cascading effects of predator richness John F Bruno1* and Bradley J Cardinale2 Biologists have long known that predators play a key role in structuring ecological communities, but recent research suggests that predator richness – the number of genotypes, species, and functional groups that com- prise predator assemblages – can also have cascading effects on communities and ecosystem properties. Changes in predator richness, including the decreases resulting from extinctions and the increases resulting from exotic invasions, can alter the composition, diversity, and population dynamics of lower trophic levels. However, the magnitude and direction of these effects are highly variable and depend on environmental con- text and natural history, and so are difficult to predict. This is because species at higher trophic levels exhibit many indirect, non-additive, and behavioral interactions. The next steps in predator biodiversity research will be to increase experimental realism and to incorporate current knowledge about the functional role of preda- tor richness into ecosystem management. Front Ecol Environ 2008; 6, doi:10.1890/070136 e know that predators play a vital role in maintain- the effects of changing biological richness at higher Wing the structure and stability of communities and trophic levels, and BEF research is rapidly expanding into that their removal can have a variety of cascading, indi- a more realistic, multi-trophic context (Duffy et al. 2007). rect effects (Terborgh et al. 2001; Duffy 2003; Figure 1). Here, we review the emerging field of predator biodi- But how important is predator richness? Are the numbers versity research, as well as the underlying mechanisms of predator genotypes, species, and functional groups eco- through which predator richness can affect lower trophic logically important properties of predator assemblages? levels and ecosystem properties. -
Identifying and Quantifying Environmental Thresholds for Ecological Shifts in a Large Semi- Regulated River
Journal of Freshwater Ecology ISSN: 0270-5060 (Print) 2156-6941 (Online) Journal homepage: http://www.tandfonline.com/loi/tjfe20 Identifying and quantifying environmental thresholds for ecological shifts in a large semi- regulated river Shawn M. Giblin To cite this article: Shawn M. Giblin (2017) Identifying and quantifying environmental thresholds for ecological shifts in a large semi-regulated river, Journal of Freshwater Ecology, 32:1, 433-453, DOI: 10.1080/02705060.2017.1319431 To link to this article: http://dx.doi.org/10.1080/02705060.2017.1319431 © 2017 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group Published online: 19 May 2017. Submit your article to this journal Article views: 5 View related articles View Crossmark data Full Terms & Conditions of access and use can be found at http://www.tandfonline.com/action/journalInformation?journalCode=tjfe20 Download by: [Wisconsin Dept of Natural Resources] Date: 23 May 2017, At: 09:02 JOURNAL OF FRESHWATER ECOLOGY, 2017 VOL. 32, NO. 1, 433–453 https://doi.org/10.1080/02705060.2017.1319431 Identifying and quantifying environmental thresholds for ecological shifts in a large semi-regulated river Shawn M. Giblin Wisconsin Department of Natural Resources, La Crosse, Wisconsin, USA ABSTRACT ARTICLE HISTORY Ecological shifts, between a clear macrophyte-dominated state and a Received 23 January 2017 turbid state dominated by phytoplankton and high inorganic suspended Accepted 6 April 2017 solids, have been well described in shallow lake ecosystems. While few KEYWORDS documented examples exist in rivers, models predict regime shifts, Aquatic macrophytes; especially in regulated rivers with high water retention time. -
Determination of Trophic Relationships Within a High Arctic Marine Food Web Using 613C and 615~ Analysis *
MARINE ECOLOGY PROGRESS SERIES Published July 23 Mar. Ecol. Prog. Ser. Determination of trophic relationships within a high Arctic marine food web using 613c and 615~ analysis * Keith A. ~obson'.2, Harold E. welch2 ' Department of Biology. University of Saskatchewan, Saskatoon, Saskatchewan. Canada S7N OWO Department of Fisheries and Oceans, Freshwater Institute, 501 University Crescent, Winnipeg, Manitoba, Canada R3T 2N6 ABSTRACT: We measured stable-carbon (13C/12~)and/or nitrogen (l5N/l4N)isotope ratios in 322 tissue samples (minus lipids) representing 43 species from primary producers through polar bears Ursus maritimus in the Barrow Strait-Lancaster Sound marine food web during July-August, 1988 to 1990. 613C ranged from -21.6 f 0.3%0for particulate organic matter (POM) to -15.0 f 0.7%0for the predatory amphipod Stegocephalus inflatus. 615~was least enriched for POM (5.4 +. O.8%0), most enriched for polar bears (21.1 f 0.6%0), and showed a step-wise enrichment with trophic level of +3.8%0.We used this enrichment value to construct a simple isotopic food-web model to establish trophic relationships within thls marine ecosystem. This model confirms a food web consisting primanly of 5 trophic levels. b13C showed no discernible pattern of enrichment after the first 2 trophic levels, an effect that could not be attributed to differential lipid concentrations in food-web components. Although Arctic cod Boreogadus saida is an important link between primary producers and higher trophic-level vertebrates during late summer, our isotopic model generally predicts closer links between lower trophic-level invertebrates and several species of seabirds and marine mammals than previously established. -
Productivity Is Defined As the Ratio of Output to Input(S)
Institute for Development Policy and Management (IDPM) Development Economics and Public Policy Working Paper Series WP No. 31/2011 Published by: Development Economics and Public Policy Cluster, Institute of Development Policy and Management, School of Environment and Development, University of Manchester, Manchester M13 9PL, UK; email: [email protected]. PRODUCTIVITY MEASUREMENT IN INDIAN MANUFACTURING: A COMPARISON OF ALTERNATIVE METHODS Vinish Kathuria SJMSOM, Indian Institute of Technology Bombay [email protected] Rajesh S N Raj * Centre for Multi-Disciplinary Development Research, Dharwad [email protected] Kunal Sen IDPM, University of Manchester [email protected] Abstract Very few other issues in explaining economic growth has generated so much debate than the measurement of total factor productivity (TFP) growth. The concept of TFP and its measurement and interpretation have offered a fertile ground for researchers for more than half a century. This paper attempts to provide a review of different issues in the measurement of TFP including the choice of inputs and outputs. The paper then gives a brief review of different techniques used to compute TFP growth. Using three different techniques – growth accounting (non-parametric), production function accounting for endogeniety (semi-parametric) and stochastic production frontier (parametric) – the paper computes the TFP growth of Indian manufacturing for both formal and informal sectors from 1989-90 to 2005-06. The results indicate that the TFP growth of formal and informal sector has differed greatly during this 16-year period but that the estimates are sensitive to the technique used. This suggests that any inference on productivity growth in India since the economic reforms of 1991 is conditional on the method of measurement used, and that there is no unambiguous picture emerging on the direction of change in TFP growth in post-reform India.