conserving biological resources correspondence

1
Conserving biological resources C.W. Clark makes two substantive criticisms in his recent TREE review 1 of our book, Conservation of Biological Resources 2 . First, he objects to two phrases that both appear on p. 28. However, he has been selective in his reading. He says that it is irresponsible to suggest that limiting harvesting to a constant level of effort ‘can be administered without monitoring population size’. We agree that, in isolation, this phrase might send the wrong message to resource managers. But elsewhere on the same page, and on previous pages, we give a lengthy discussion of the dangers of using CPUE (catch per unit effort) in resource management, including ‘a stable CPUE could be due to undetected increases in technological efficiency, giving a false picture of stability as the population declines… If a population aggregates into large groups even at low population sizes, or if its location is always predictable, then the costs of harvesting are not related linearly to population size… The population declines dramatically without any reduction in harvesting effort… These conditions are common in fisheries.’ The second phrase referred to a means of controlling harvest by allowing a constant proportion of the population to be taken each year. We said ‘harvesters do not make constant attempts to circumvent the regulations if they are free to use any technology they please’ in comparison with what happens under rules limiting effort, when ‘there is an incentive for the hunters to use technological innovation to circumvent the regulations’. By quoting phrases out of context, he misrepresents our argument. He suggests that another way of approaching the problem of natural resource harvesting is to treat resources as ‘natural capital’. This is indeed a well known alternative approach, and one that he discusses in his pioneering work on resource economics 3 . However, this method is subject to the same problems of oversimplification as the simple models that we analyse in the first chapter of our book; it has now been superseded by approaches that emphasize the importance of the social and institutional frameworks within which people live. In chapter 1, we outline simple, theoretical models that were, and still are, fundamental to much of resource management, stressing both their strengths and their weaknesses. And then, for the next 350 pages, we explore how ecological, social and political complexities can be taken into account when managing the interaction between people and the resources upon which they depend. E.J. Milner-Gulland Renewable Resources Assessment Group, Imperial College London, 8 Princes Gardens, London, UK SW7 1NA ([email protected]) Ruth Mace Dept of Anthropology, University College London, Gower Street, London, UK WC1E 6BT ([email protected]) References 1 Clark, C.W. (1999) Trends Ecol. Evol. 14, 161 2 Milner-Gulland, E.J. and Mace, R. (1998) Conservation of Biological Resources, Blackwell 3 Clark, C.W. (1976) Mathematical Bioeconomics: the Optimal Management of Renewable Resources, John Wiley & Sons Sexual selection and the Y chromosome In a very interesting article, Roldan and Gomendio 1 suggest that sexual selection could have favored genes on the mammalian Y chromosome, and that these would include genes on the Y with effects on embryonic growth and tooth size, as well as on spermatogenesis. There are other effects of the Y chromosome on brain and behavior in mice. These include effects of the Y on hippocampal morphology, whole-brain levels of serotonin, open field activity, copulation, aggression and learning 2 . There are sex differences in these brain and behavior traits that might be due to sexual selection 3 . Also, the Sry gene (sex determining region on the Y) is expressed in brains of adult mice and humans 4,5 ; this gene may have effects on the above-mentioned brain and behavioral traits 2 . Stephen C. Maxson Dept of Psychology and Biobehavioral Sciences Graduate Degree Program, The University of Connecticut Storrs, CT 06269-4154, USA ([email protected]) References 1 Roldan, E.R.S. and Gomendio, M. (1999) Trends Ecol. Evol. 14, 59–62 2 Maxson, S.C. (1996) Behav. Genet. 26, 471–476 3 Maxson, S.C. (1997) Biomed. Rev. 7, 85–90 4 Lahr, G. et al. (1995) Mol. Brain Res. 33, 179–182 5 Mayer, A. et al. (1998) Neurogenetics 1, 281–288 CORRESPONDENCE The structure of carotenoids In a recent perspective in TREE, Olson and Owens 1 presented some important points about the significance of carotenoids in sexual signalling. Carotenoids occur in a wide variety of bacteria, fungi and plants and carry out diverse biological functions. They have also been proposed to play a crucial role in evolution, cold adaptation, sexual signalling, etc. 1–4 The individual structures of these molecules have an important role in these respective biological functions 5–7 . Carotenoids are isoprenoids containing a characteristic polyene chain of conjugated double bonds and are either acyclic or cyclic with one or two cyclic end groups. The hydrocarbons are called carotenes and the oxygenated derivatives are called xanthophylls. About 600 structurally distinct carotenoids have been chemically characterized 8,9 . The structures of the molecules shown in Box 1 of Olson and Owen’s article do not contain 19,20 199,209 methyl groups, and the double bond in the b-cyclic ring was represented between positions 19 and 29. The double bond cannot exist between these positions and should be between positions 59 and 69. (The positions referred to here are numbered in a conventional manner.) More details on the structures of carotenoids are necessary, and their structures should be represented as in the figure below. M.V. Jagannadham Centre for Cellular and Molecular Biology, Tarnaka, Hyderabad-500007, India ([email protected]) References 1 Olson,V.A. and Owens, I.P.F. (1998) Trends Ecol. Evol. 13, 510–514 2 Johnson, E.A. and Schroeder, W.A. (1995) Adv. Biochem. Eng. Biotechnol. 53, 119–178 3 Jagannadham, M.V., Rao, V.J. and Shivaji, S. (1991) J. Bacteriol. 173, 7911–7917 4 Chattopadhyay, M.K. et al. (1997) Biochem. Biophys. Res. Commun. 239, 85–90 5 Gabrielska, J. and Gruszecki, W.I. (1996) Biochim. Biophys. Acta 1285, 167–174 6 Di Mascio, P., Kaiser, S. and Sies, H. (1989) Arch. Biochem. Biophys. 274, 532–538 7 Strand, A., Shivaji, S. and Liaaen-Jensen, S. (1997) Biochem. Syst. Ecol. 25, 547–552 8 Straub, O. (1987) in Key to Carotenoids (2nd edn) (Pfander, H., ed.), pp. 9–276, Birkhäuser 9 Kull, D. and Pfander, H. (1995) in Carotenoids (Vol. 1A) (Britton, G., Liaaen-Jensen, S. and Pfander, H., eds), pp. 295–317, Birkhäuser Astaxanthin (a common xanthophyll) O OH O HO β-Carotene 1 3 5 17 16 6 19 9 20 13 15 15' 13' 20' 9' 19' 5' 3' 1' 6' 16' 17' 18 18' (Online: Fig. 1) 236 0169-5347/99/$ – see front matter © 1999 Elsevier Science. All rights reserved. TREE vol. 14, no. 6 June 1999

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Conservação de recursos biológicos

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  • Conserving biologicalresources

    C.W. Clark makes two substantive criticisms in hisrecent TREE review1 of our book, Conservation ofBiological Resources2. First, he objects to twophrases that both appear on p. 28. However, hehas been selective in his reading. He says that it isirresponsible to suggest that limiting harvesting toa constant level of effort can be administeredwithout monitoring population size. We agree that,in isolation, this phrase might send the wrongmessage to resource managers. But elsewhere onthe same page, and on previous pages, we give alengthy discussion of the dangers of using CPUE(catch per unit effort) in resource management,including a stable CPUE could be due toundetected increases in technological efficiency,giving a false picture of stability as the populationdeclines If a population aggregates into largegroups even at low population sizes, or if itslocation is always predictable, then the costs ofharvesting are not related linearly to populationsize The population declines dramatically without

    any reduction in harvesting effort Theseconditions are common in fisheries.

    The second phrase referred to a means ofcontrolling harvest by allowing a constant proportionof the population to be taken each year. We saidharvesters do not make constant attempts tocircumvent the regulations if they are free to useany technology they please in comparison withwhat happens under rules limiting effort, whenthere is an incentive for the hunters to usetechnological innovation to circumvent theregulations. By quoting phrases out of context, hemisrepresents our argument.

    He suggests that another way of approaching theproblem of natural resource harvesting is to treatresources as natural capital. This is indeed a wellknown alternative approach, and one that hediscusses in his pioneering work on resourceeconomics3. However, this method is subject to thesame problems of oversimplification as the simplemodels that we analyse in the first chapter of ourbook; it has now been superseded by approachesthat emphasize the importance of the social andinstitutional frameworks within which people live.

    In chapter 1, we outline simple, theoreticalmodels that were, and still are, fundamental to

    much of resource management, stressing boththeir strengths and their weaknesses. And then, forthe next 350 pages, we explore how ecological,social and political complexities can be taken intoaccount when managing the interaction betweenpeople and the resources upon which they depend.

    E.J. Milner-Gulland

    Renewable Resources Assessment Group,Imperial College London, 8 Princes Gardens, London, UK SW7 1NA ([email protected])

    Ruth Mace

    Dept of Anthropology, University CollegeLondon, Gower Street, London,UK WC1E 6BT ([email protected])

    References1 Clark, C.W. (1999) Trends Ecol. Evol. 14, 1612 Milner-Gulland, E.J. and Mace, R. (1998)

    Conservation of Biological Resources, Blackwell3 Clark, C.W. (1976) Mathematical Bioeconomics:

    the Optimal Management of Renewable Resources, John Wiley & Sons

    Sexual selection and the Y chromosome

    In a very interesting article, Roldan andGomendio1 suggest that sexual selection couldhave favored genes on the mammalian Y chromosome, and that these would includegenes on the Y with effects on embryonic growth and tooth size, as well as onspermatogenesis. There are other effects of the Y chromosome on brain and behavior in mice.These include effects of the Y on hippocampalmorphology, whole-brain levels of serotonin, open field activity, copulation, aggression andlearning2. There are sex differences in these brain and behavior traits that might be due tosexual selection3. Also, the Sry gene (sexdetermining region on the Y) is expressed inbrains of adult mice and humans4,5; this genemay have effects on the above-mentioned brainand behavioral traits2.

    Stephen C. Maxson

    Dept of Psychology and BiobehavioralSciences Graduate Degree Program, The University of Connecticut Storrs, CT 06269-4154, USA ([email protected])

    References1 Roldan, E.R.S. and Gomendio, M. (1999) Trends

    Ecol. Evol. 14, 59622 Maxson, S.C. (1996) Behav. Genet. 26,

    4714763 Maxson, S.C. (1997) Biomed. Rev. 7,

    85904 Lahr, G. et al. (1995) Mol. Brain Res. 33,

    1791825 Mayer, A. et al. (1998) Neurogenetics 1,

    281288

    CORRESPONDENCE

    The structure of carotenoids

    In a recent perspective in TREE, Olson and Owens1presented some important points about thesignificance of carotenoids in sexual signalling.Carotenoids occur in a wide variety of bacteria, fungiand plants and carry out diverse biologicalfunctions. They have also been proposed to play acrucial role in evolution, cold adaptation, sexualsignalling, etc.14 The individual structures of thesemolecules have an important role in theserespective biological functions57.

    Carotenoids are isoprenoids containing acharacteristic polyene chain of conjugated doublebonds and are either acyclic or cyclic with one ortwo cyclic end groups. The hydrocarbons arecalled carotenes and the oxygenated derivativesare called xanthophylls. About 600 structurallydistinct carotenoids have been chemicallycharacterized8,9. The structures of the moleculesshown in Box 1 of Olson and Owens article donot contain 19,20 199,209 methyl groups, and thedouble bond in the b-cyclic ring was representedbetween positions 19 and 29. The double bondcannot exist between these positions and shouldbe between positions 59 and 69. (The positionsreferred to here are numbered in a conventionalmanner.) More details on the structures of

    carotenoids are necessary, and their structuresshould be represented as in the figure below.

    M.V. Jagannadham

    Centre for Cellular and MolecularBiology, Tarnaka, Hyderabad-500007,India ([email protected])

    References1 Olson,V.A. and Owens, I.P.F. (1998) Trends Ecol.

    Evol. 13, 5105142 Johnson, E.A. and Schroeder, W.A. (1995) Adv.

    Biochem. Eng. Biotechnol. 53, 1191783 Jagannadham, M.V., Rao, V.J. and Shivaji, S.

    (1991) J. Bacteriol. 173, 791179174 Chattopadhyay, M.K. et al. (1997) Biochem.

    Biophys. Res. Commun. 239, 85905 Gabrielska, J. and Gruszecki, W.I. (1996)

    Biochim. Biophys. Acta 1285, 1671746 Di Mascio, P., Kaiser, S. and Sies, H. (1989)

    Arch. Biochem. Biophys. 274, 5325387 Strand, A., Shivaji, S. and Liaaen-Jensen, S.

    (1997) Biochem. Syst. Ecol. 25, 5475528 Straub, O. (1987) in Key to Carotenoids (2nd

    edn) (Pfander, H., ed.), pp. 9276, Birkhuser9 Kull, D. and Pfander, H. (1995) in Carotenoids

    (Vol. 1A) (Britton, G., Liaaen-Jensen, S. andPfander, H., eds), pp. 295317, Birkhuser

    Astaxanthin (a common xanthophyll)

    OOH

    OHO

    b -Carotene 13 5

    17 16

    6

    19

    9

    20

    1315

    15'13'

    20'

    9'

    19'

    5' 3'

    1'6'

    16' 17'18

    18'

    (Onl

    ine:

    Fig

    . 1)

    236 0169-5347/99/$ see front matter 1999 Elsevier Science. All rights reserved. TREE vol. 14, no. 6 June 1999