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RESERVOIR STOCKING IN LATIN AMERICA, AN EVALUATION (Contd.)

6. CONCLUSIONS

The relationship between fish yield and stocking density is a good indicator of stocking success when maximising biomass is the management objective. As expected, for self-sustained fish populations, stocking is not a good management measure when insufficient recruitment to the fishable population has not been observed. Supplemental stocking programmes may be justified in some other cases (White et al., 1995), but generally are undesirable from an economic standpoint when managing for biomass is the main objective. Supplemental stocking is one step in the process of increasing yields from natural capture and recreational fisheries to intensive aquaculture (Welcomme, 1995a).

For introduced species that need the continuous addition of young fish to develop fishable stocks, stocking must be suited to the reservoir's natural carrying capacity (climate and morphoedaphic factors) (Mari and Quiros, 1986; Quiros, 1994; Fonteles-Filho and Alves, 1995), to diffuse external organic matter inputs, and to external inputs of fertilisers and food (Song, 1980; Lu, 1992; Quiros, 1994; among many others). Surface area had no effect on fish yields in tropical Latin American reservoirs, after stocking rate, mean fish weight at stocking, and intensification grade effects had been accounted for.

Based on this study, a general pattern for Latin American reservoirs was prepared (Box 1). It can be used as a tool for rationalising stocking, to assess stocking programmes, or to correct mismanagement and obtain successful outcomes.

7. RECOMMENDATIONS

Stocking is not a magic management measure for resolving almost any problem in freshwater fisheries. For the region as a whole, despite considerable differences, current stocking practices (Olmos et al., 1992; Fonticiella et al., 1995; Fonteles-Filho and Alves, 1995; among many others) have to change from random stocking to decisions based on the productive capacities of water bodies, sound fisheries enhancement measures, and fish community compatibility, rather than trying to exceed natural or actual capacity just with stocking. Random supplemental overstocking is not the best way to enhance freshwater fisheries. Stocking should be suited to the presence of self-sustained fish populations and should be assessed for each reservoir.

When the objective is to maximize the biomass, stocking should be matched with inputs of fertilisers and food, as exemplified by some Cuban semi-intensively managed small reservoirs, and ponds and very small reservoirs in northeastern Brazil. Supplemental stocking programs for self-sustained fish populations in Latin American reservoirs need to be studied and analysed on a case-by-case basis.

Latin America is a very heterogeneous socio-economic region. Fisheries governmental agencies as well as public and private fishery managers have to be aware of stocking limitations for enhancing fish production in freshwater fisheries. When economic analyses of stocking programmes are negative, considering social benefits may compensate for the losses, but environmental impairments may, in turn, cancel some of the social benefits. However, it is not advisable for most of the countries in Latin America to evaluate stocking programmes on economic basis alone.

Welcomme (1995) suggested stocking can be a highly cost-effective way to increase fish production. In some regions worldwide stocking is considered highly profitable. However, for Latin America as a whole, many stocking programmes have had dubious results. Motivation for such programmes has been very often based on public pressure or political constraints. Some technical mismanagement measures might be easily corrected. Where social and economic considerations are required, a preliminary programme assessment is highly appropriate.

Annex I. Data base for Latin America aquatic environments.

 #CountryAREAYSDNSDWLATW#grade
   (km^2)(kg/ha/yr)(fish/ha/yr)(kg/ha/yr) (g) 
Damuji12759.05295.402210.31
La Leche2266.255.0118713.302211.21
Juan Saez328.7105.0160416.002210.01
Cacoyuguin421.5381.05678.202214.41
Gibara52553.03893.902210.01
Virama623.5514.0120812.102210.01
Vicana724.697.06239.602215.41
Zaza8279.4475177.4360.452211.31
Alacranes9259.4715143.91000.93229.31
Jimaguayu10214.73786888.71952.442211.11
Leonero11260.93154141.51922.002210.51
Baragua12222.02429222.82392.672211.11
Najasa I1329.268572516.51941.80229.31
Vnheroico1429.664616363.38648.702210.01
Minerva16211.96214198.81401.37229.51
Munoz18218.54181.01571.51229.71
E Rebelde1922.963571901.63903.61229.21
Porvenir20228.30846108.22382.572211.61
Sta. Ana2124.644286414.02262.07229.11
Nipe22215.87143113.31552.612217.01
El Salto Pr2327.871539195.01391.462210.71
Yarigua2523.19439.53756.262217.01
Ciego2623.067273464.41411.362211.01
La Jia2725.604615234.81120.92228.71
Cespedes28212.6696.13894.192210.81
La Yaya3029.678001123.83283.352210.21
Aviles31216.5728683.11561.842211.11
Lebrije33210.60923101.11491.872212.91
Canasi3424.896429166.61462.60228.81
Juventud3527.593572126.14463.102210.31
Maximo36211.8726775.31541.832214.31
El Punto37213.3928653.42853.542212.91
Guirabo3823.245264.92011.55227.61
Sabanilla3925.85142959.42792.932212.01
Aguas Claras4021.561429373.94384.97229.51
Caonao4125.047143119.1950.722210.91
Cidra4224.720588110.14004.892212.21
Jibacoa4321.603846217.04614.042210.01
H Cubana4423.864615114.54423.10227.41
Gramal4522.975534.74094.432210.41
Palma Sola46210.4646252.11040.82229.61
Cayojo4721.528333583.35727.402212.71
Redonda4824.5198.12244.972222.21
El Salto Cf4922.311818185.63082.52228.21
C Bulgara5029.077139.91621.872210.71
San Miguel5122.427692231.45789.952217.31
Revolucion52212.5564330.92345.052210.91
Mal Paisi5423.76461544.93393.832211.41
Mal Paisii5523.04230831.23504.222211.91
Guanabana5621.33166.64215.122211.91
Paso Viejo6821.718.8309411.15213.61
Tejar6920.1490.0415014.77213.61
Jovero7020.66118.210502.31212.21
Rio Hondo7121.5134.9580932.99215.71
Santa Maria7220.4547.81112632.33212.91
Mango7320.1536.7283313.83214.91
La Paila7423.291.0355814.03213.91
Chapala1383960103.040.042010.01
Angostura139337990.0130.132010.01
Temascal140330841.820.022010.01
Guerrero141335012.040.042010.01
Miguel Hidalgo1423120141.0300.302010.01
Josefa Ortiz143352209.0660.662010.01
Diaz Ordaz144379.291.0210.212010.01
Pedregales1521.4657141282.9189129.252213.82
Bueycito1724.546667440.7103712.892211.62
Mamposton24210.63357107.05595.54229.72
Las Piedras2921.537857616.89218.65229.42
Duran li3223.229091430.1102010.922214.72
La Fe5324.066923141.07247.802210.62
Herradura5720.052002.01181496.27228.12
Quintin5820.071006.8659447.53227.22
M145920.09552.8632442.01226.62
M14a6020.09215.6179819.032210.62
M196120.091008.9239123.792210.02
Mangos6220.121013.1425229.22226.92
Camaguey6320.12490.4388730.98228.02
Algarrobo6420.15357.6554830.66225.52
C476520.25479.1626847.63227.62
C486620.5470.1434229.65226.82
Mercedes6720.6294.5230315.60226.82
El Junco7520.862032.21141667.69215.92
Herradura7622.04347.7202813.10216.52
La Larga7720.277.57432.60213.52
Rosario Piloto7820.1445.0350012.70213.62
Camarones7920.11830.0550331.55215.72
Rosario P.E.8020.74562.6305315.75215.22
Comp.Sgo.li8120.46963.8381618.30214.82
Comp.Sgo.lv8220.2576.7533218.87213.52
Redencion8320.2950.020257.70213.82
La Josefa8420.46370.7270812.53214.62
Ahoga Mulo8520.1696.7283315.98215.62
Playuelas8620.25162.0306019.61216.42
Til1874 7238.010000300.005 3
Til2884 3856.07000210.005 3
Til3894 5878.010000300.005 3
Til4904 5290.010000300.005 3
Til5914 4002.010000300.005 3
Til6924 3771.010000300.005 3
Til7934 9983.021000630.005 3
Til8944 11816.031000930.005 3
Til9954 2760.08000240.005 3
Til10964 6496.010000300.005 3
Til119740.00237964.010434156.50515.03
Til129840.005511166.011428548.50548.03
Tam1994 4470.05000150.005 3
Tam21004 4276.05000150.005 3
Tam31014 6636.05000150.005 3
Tam41024 9240.010000300.005 3
Pira11034 4200.05000150.005 3
Pira21044 8260.010000300.005 3
Carpes11054 4407.05000150.005 3
Carpes21064 4910.07500225.005 3
Carpes31074 4440.010000300.005 3
Carpes41084 4891.05000150.005 3
Til/S11094 5577.010000300.005 3
Til/S21104 2878.08000240.005 3
Til/S31114 13827.010000300.005 3
Pol/S11124 14530.010000300.005 3
Til1311340.000355629.013000325.00525.03
Til1411440.000357000.015000405.00527.03
Til1511540.000357971.017000442.00526.03
Til1611640.000358657.019000722.00538.03
Til1711740.0003510114.021000462.00522.03
Til1811840.000358828.023000529.00523.03
Til1911940.0003510599.025000575.00523.03
Til2012040.0003510714.027000675.00525.03
Til2112140.0003510171.029000 5 3
Proch112240.000355144.4100011.00511.23
Proch212340.000355226.4200036.00518.03
Proch312440.000355406.0300033.00511.13
Proch412540.000355610.9400056.00514.03
Proch512640.000355564.1500060.00512.03
Proch612740.000355774.9600078.00513.03
Proch712840.000355948.6700091.00513.03
Proch812940.000355792.58000104.00513.03
Proch913040.000355772.99000108.00512.03
Proch1013140.000355657.810000130.00513.03
Curi113240.000355215.8100014.00514.23
Curi213340.000355355.3300036.00512.23
Curi313440.000355887.6400052.00513.23
Curi413540.000355869.5500070.00514.23
Curi513640.000355782.1700084.00512.23
Curi613740.0003551162.09000117.00513.23
Ne Brasil1454 4000.08000 5 3
Goias Br.1464 2400.010000 17 3
Se Brasil11474 200.0100 28 3
Se Brasil11484 2500.01000 28 3
Se Brasil21494 3000.03000 28 3
Se Brasil21504 4500.06000 28 3
Se Brasil31514 2000.03000 28 3
Se Brasil31524 3000.05000 28 3
Repelon Col.1535 10000.010000 10 3
Lorica Col.1545 10500.015000 9 3
Llanos Or.Col.11555 12500.012000 6 3
Llanos Or.Col.21565 12500.015000 6 3
Central Col.11575 12500.013500 7 3
Central Col.21585 12500.012000 7 3
Occidente Col.1595 15000.022000 5 3
Pucallpa Peru11606 7000.015000 8 3
Pucallpa Peru21616 10000.025000 8 3
Venezuela1627 2500.01500 8 3
Puerto Rico 3216390.00078406.019000 18 3
Puerto Rico 3216490.00078710.019058 18 3
Puerto Rico 3216590.00079166.019172 18 3
Puerto Rico 3216690.00078460.019289 18 3
Colomb Proch391675 546.06667 5 3
C Rica Tilap 10416880.00063015.010000 10 3
Peru Brycon 12416960.000272600.05000380.001076.33
Brazil Poli 17717040.000166790.044600 23 3
Brazil Poli 17717140.000169130.066900 23 3
Brazil Poli 17717240.000169281.089200 23 3

Country:
2) Cuba,
3) Mexico,
4) Brazil,
6) Peru,
7) Venezuela,
8) Costa Rica,
9) Other

8. REFERENCES

Cleveland, W.S. 1979. Robust locally weighted regression and smoothing scatterplots. J. Amer. Stat. Assoc. 74: 829–836.

Davis, J.C. 1986. Statistics and Data Analysis in Geology. 2nd edition. John Wiley & Sons, Inc., New York. 646p.

De Silva, S.S., Y. Lin, and G. Tang. 1992. Possible yield-predictive models based on morphometric characteristics and stocking rates for three groups of Chinese reservoirs. Fish. Res. 13: 369–380.

Draper, N.R. and H. Smith. 1981. Applied Regression Analysis. John Wiley & Sons, Inc., New York. 709p.

Fonteles-Filho, A.A. and A.L. Alves. 1995. Producao pesqueira and produtividade em acudes publicos do Nordeste do Brasil. B. Inst. Pesca 22: 1–14.

Fonticiella, D.W., Z. Arboleya and G. Diaz Perez. 1995. La repoblacion como forma de manejo de pesquerias en la acuicultura de Cuba. COPESCAL Documento Ocasional. No. 10. FAO, Roma. 45p.

Hintze, J.L. 1988. Number cruncher statistical system (NCSS), Version 5.1. Graphics. Dr. Jerry L. Hintze. Kaysville, Utah, USA. 69p.

Lu, X. 1992. Fishery management approaches in small reservoirs in China. FAO Fisheries Circular No. 854. FAO, Rome. 69p.

Mari, A. 1992. Pesquerias derivadas de la acuicultura en aguas interiores de Cuba. In: Manejo y explotacion acuicola de embalses de agua dulce en America Latina: 72–105. Proyecto GCP/RLA/075/ITA. Documento de Campo No. 1. 193p.

Mari, A. and R. Quiros. 1986. El rendimiento pesquero y su relacion con el esfuerzo de pesca y factores morfoedaficos en embalses de Cuba. (MS).

Olmos, M.E. et al. 1992. Situacion actual y perspectivas de las pesquerias derivadas de la acuicultura en Mexico. In: Manejo y explotacion acuicola de embalses de agua dulce en America Latina: 106–162. Proyecto GCP/RLA/075/ITA. Documento de Campo No. 1. 193p.

Quiros, R. 1994. Intensificación de la pesca en los pequeños cuerpos de agua en America Latina y el Caribe. COPESCAL Documento Ocasional No. 8. FAO, Rome. 41p.

Quiros, R. 1995. Relationships of fish yield to fishing effort and stocking rate in reservoirs of Latin America and the Caribbean. In: American Fisheries Society 125th Annual Meeting, Tampa, Florida, August 27–31, 1995: 172.

Remedios H. L. and C. Cabezas H. 1995. Cultivo semi-intensivo de peces en embalses de Pinar del Rio, Cuba. (MS).

Ryder, R.A. 1965. A method for estimating the potential fish production of north-temperate lakes. Trans. Amer. Fish. Soc. 94: 214–218.

Song, Z. 1980. Manual of small-scale reservoir fish culture. FAO Fisheries Circular No. 727. FAO, Rome. 18p.

Weisberg, S. 1980. Applied Linear Regression. John Wiley & Sons, Inc., New York. 283p.

Welcomme, R.L. 1995. Evaluation of stocking and introductions as management tools. Hull Symposia. (MS).

Welcomme, R.L. 1995a. World inland fisheries and aquaculture - changing attitudes to management. (MS).

White, R.J., J.R. Karr and W. Nehlsen. 1995. Better roles for fish stocking in aquatic resource management. Amer. Fish. Soc. Symp. 15: 527–547.


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