13 research outputs found
Orelha de Elefante Mexicana (Opuntia stricta [Haw.] Haw.) spineless cactus as an option in crossbred dairy cattle diet
new genotype of spineless cactus is being used in the diets of dairy cattle that are raised in semi-arid regions. However, little is known about its nutritional value. This study aimed to evaluate the effects of replacing Miúda (Nopalea cochenillifera Salm Dyck) with Orelha de Elefante Mexicana (Opuntia stricta [Haw.] Haw.) spineless cactus, on nutrient intake and digestibility, milk yield and composition, feeding behaviour, microbial protein synthesis, nitrogen balance, and ruminal and blood parameters of dairy cows. Ten Girolando cows, 500 ± 51.6 kg bodyweight, were distributed in a double Latin square design 5 x 5. The treatments consisted of replacement levels of Miúda (MIU) by Orelha de Elefante Mexicana (OEM) at 0, 25, 50, 75, and 100%. The intake and digestibility of dry matter (DM) (14.38–12.95 kg d-1, 716.3–658.9 g d-1), organic matter (OM) (13.01–11.43 kg d-1, 747.8–704.8 g d-1), crude protein (CP) (2.02–1.61 kg d-1, 863.8–845.2 g d-1) and total digestible nutrients (TDN) (9.38–7.92 kg d-1) decreased linearly with the increase in replacement. Despite the decrease in intake and digestibility, the supply of nutrients was sufficient to maintain a milk yield of 12.5 kg d-1. The average daily weight gain decreased linearly with the increase in replacement, while protein microbial efficiency (g microbial CP kg-1 TDN intake; 91.24 to 127.44 g kg-1) increased linearly. Thus, OEM could replace 100% MIU in diets with 48% of spineless cactus, for crossbred lactating cows with 12.5 kg d-1 milk yield. Therefore, OEM is a viable new option for producing milk in smallholder livestock systems in semi-arid regions.Keywords: Alternative forage, milk yield, ruminal parameter, semi-arid, smallholder livestock syste
Integrating Economic Costs And Biological Traits Into Global Conservation Priorities For Carnivores
Background: Prioritization schemes usually highlight species-rich areas, where many species are at imminent risk of extinction. To be ecologically relevant these schemes should also include species biological traits into area-setting methods. Furthermore, in a world of limited funds for conservation, conservation action is constrained by land acquisition costs. Hence, including economic costs into conservation priorities can substantially improve their conservation cost-effectiveness. Methodology/Principal Findings: We examined four global conservation scenarios for carnivores based on the joint mapping of economic costs and species biological traits. These scenarios identify the most cost-effective priority sets of ecoregions, indicating best investment opportunities for safeguarding every carnivore species, and also establish priority sets that can maximize species representation in areas harboring highly vulnerable species. We compared these results with a scenario that minimizes the total number of ecoregions required for conserving all species, irrespective of other factors. We found that cost-effective conservation investments should focus on 41 ecoregions highlighted in the scenario that consider simultaneously both ecoregion vulnerability and economic costs of land acquisition. Ecoregions included in priority sets under these criteria should yield best returns of investments since they harbor species with high extinction risk and have lower mean land cost. Conclusions/Significance: Our study highlights ecoregions of particular importance for the conservation of the world's carnivores defining global conservation priorities in analyses that encompass socioeconomic and life-history factors. We consider the identification of a comprehensive priority-set of areas as a first step towards an in-situ biodiversity maintenance strategy. © 2009 Loyola et al.48Margules, C.R., Pressey, R.L., Systematic conservation planning (2000) Nature, 405, pp. 243-253Margules, C.R., Sarkar, S., (2007) Systematic conservation planning, , Cambridge: Cambridge University Press. 278 pCowling, R.M., Pressey, R.L., Rouget, M., Lombard, A.T., A conservation plan for a global biodiversity hotspot - the Cape Floristic Region, South Africa (2003) Biol Conserv, 112, pp. 191-216Smith, R.J., Goodman, P.S., Matthews, W.S., Systematic conservation planning: A review of perceived limitations and an illustration of the benefits, using a case study from Maputaland, South Africa (2006) Oryx, 40, pp. 400-410Loyola, R.D., Kubota, U., Lewinsohn, T.M., Endemic vertebrates are the most effective surrogates for identifying conservation priorities among Brazilian ecoregions (2007) Divers Distrib, 13, pp. 389-396Dinerstein, E., (1995) A conservation assessment of the terrestrial ecoregions of Latin America and the Caribbean, , Washington DC: WWF and the World Bank. 129 pBurgess, D.N., (2004) Terrestrial ecoregions of Africa and Madagascar: A conservation assessment, , Washington: Island Press. 483 pLoyola, R.D., Becker, C.G., Kubota, U., Haddad, C.F.B., Fonseca, C.R., Hung out to dry: Choice of priority ecoregions for conserving threatened Neotropical anurans depends on life-history traits (2008) PLoS ONE, 3 (5), pp. e2120. , doi:10.1371/journal.pone.0002120Loyola, R.D., Oliveira, G., Diniz-Filho, J.A.F., Lewinsohn, T.M., Conservation of Neotropical carnivores under different prioritization scenarios: Mapping species traits to minimize conservation conflicts (2008) Divers Distrib, 14, pp. 949-960Loyola, R.D., Kubota, U., Fonseca, G.A.B., Lewinsohn, T.M., Key Neotropical ecoregions for conservation of terrestrial vertebrates (2009) Biodivers Conserv, 18, pp. 2017-2031Mittermeier, R.A., Robles-Gil, P., Hoffman, M., Pilgrim, J., Brooks, T., (2004) Hotspots revisited: Earth's biologically richest and most endangered terrestrial ecoregions, , Mexico City: CEMEX. 392 pOlson, D.M., Dinerstein, E., The Global 200: Priority ecoregions for global conservation (2002) Ann Miss Bot Gard, 89, pp. 199-224Bode, M., Wilson, K.A., Brooks, T.M., Turner, W.R., Mittermeier, R.A., Cost-effective global conservation spending is robust to taxonomic group (2008) Proc Natl Acad Sci USA, 105, pp. 6498-6501Brooks, T.M., Mittermeier, R.A., da Fonseca, G.A.B., Gerlach, J., Hoffmann, M., Global biodiversity conservation priorities (2006) Science, 313, pp. 58-61Mittermeier, R.A., Mittermeier, C.G., Brooks, T.M., Pilgrim, J.D., Konstant, W.R., Wilderness and biodiversity conservation (2003) Proc Natl Acad Sci USA, 100, pp. 10309-10313Stattersfield, A.J., Crosby, M.J., Long, A.J., Wege, D.C., (1998) Endemic bird areas of the world: Priorities for biodiversity conservation, , Cambridge: BirdLife International. 846 pCardillo, M., Mace, G.M., Gittleman, J.L., Purvis, A., Latent extinction risk and the future battlegrounds of mammal conservation (2006) Proc Natl Acad Sci USA, 103, pp. 4157-4161Becker, C.G., Loyola, R.D., Extinction risk assessments at the population and species level: Implications for amphibian conservation (2008) Biodiv Conserv, 17, pp. 2297-2304Cardillo, M., Mace, G.M., Jones, K.E., Bielby, J., Bininda-Emonds, O.R.P., Multiple causes of high extinction risk in large mammal species (2005) Science, 309, pp. 1239-1241Cardillo, M., Purvis, A., Sechrest, W., Gittleman, J.L., Bielby, J., Human population density and extinction risk in the world's carnivores (2004) PLoS Biology, 2, pp. 909-914Valenzuela-Galván, D., Vázquez, L.B., Prioritizing areas for conservation of Mexican carnivores considering natural protected areas and human population density (2008) Anim Conserv, 11, pp. 215-223Valenzuela-Galván, D., Arita, H.T., Macdonald, D.W., Conservation priorities for carnivores considering protected natural areas and human population density (2008) Biodivers Conserv, 17, pp. 539-558Gittleman, J.L., Funk, S.M., MacDonald, D.W., Wayne, R.K., (2001) Carnivore conservation, , Cambridge: Cambridge University Press. 690 pDirzo, R., Miranda, A., Altered patterns of herbivory anddiversity in the forest understory: A case study of the possible consequences of contemporary defaunation (1991) Plant-animal interactions: Evolutionary ecology in tropical and temperate regions, pp. 273-287. , Price P, Lewinsohn TM, Fernandes GW, Benson WW, eds, New York: John Wiley & Sons Inc. ppLaurance, W.F., Peres, C.A., (2006) Emerging threats to tropical forests, , Chicago: University of Chicago Press. 520 pRondinini, C., Boitani, L., Systematic Conservation Planning and the Cost of Tackling Conservation Conflicts with Large Carnivores in Italy (2007) Conserv Biol, 21, pp. 1455-1462Underwood, E.C., Shaw, M.R., Wilson, K.A., Kareiva, P., Klausmeyer, K.R., (2008) Protecting Biodiversity when Money Matters: Maximizing Return on Investment, ONE 3, pp. e1515. , PLoS, doi:10.1371/journal.pone.0001515Naidoo, R., Balmford, A., Ferraro, P.J., Polasky, S., Ricketts, T.H., Integrating economic costs into conservation planning (2006) Trends Ecol Evol, 21, pp. 681-686Davis, F.W., Costello, C., Stoms, D., (2006) Efficient conservation in a utility-maximization framework, p. 11. , http://www.ecologyandsociety.org/vol11/iss11/art33, Ecol Soc, Available(2006) WildFinder: Online database of species distributions, version Jan-06, , http://www.worldwildlife.org/WildFinder, AvailableRondinini, C., Stuart, S., Boitani, L., Habitat suitability models and the shortfall in conservation planning for African vertebrates (2005) Conserv Biol, 19, pp. 1488-1497Das, A., Krishnaswamya, J., Bawaa, K.S., Kirana, M.C., Srinivasc, V., Prioritisation of conservation areas in the Western Ghats, India (2006) Biol Conserv, 133, pp. 16-31Laurance, W.F., Lovejoy, T.E., Vasconcelos, H.L., Bruna, E.M., Didham, R.H., Ecosystem decay of Amazonian forest fragments: A 22-year investigation (2002) Conserv Biol, 16, pp. 605-618Boyd, C., Brooks, T.M., Butchart, S.H.M., Edgar, G.J., da Fonseca, G.A.B., Spatial scale and the conservation of threatened species (2008) Conserv Lett, 1, pp. 37-43Gittleman, J.L., Carnivore life histories: A reanalysis in the light of new models (1993) Mammals as predators, pp. 65-86. , Dunstone N, Gorman ML, eds, Oxford: Oxford University Press. ppCarbone, C., Gittleman, J.L., A common rule for the scaling of carnivore density (2002) Science, 295, pp. 2273-2276Urbina-Cardona JN, Loyola RD (2008) Applying niche-based models to predict endangered-hylid potential distributions: are Neotropical protected areas effective enough? Tropical Conservation Science 1: 417-445Lamoreux, J.F., Morrison, J.C., Ricketts, T.H., Olson, D.M., Dinerstein, E., Global tests of biodiversity concordance and the importance of endemism (2006) Nature, 440, pp. 212-214Pressey, R.L., Possingham, H.P., Day, J.R., Effectiveness of alternative heuristic algorithms for identifying indicative minimum requirements for conservation reserves (1997) Biol Conserv, 80, pp. 207-219Soutullo, A., De Castro, M., Urios, V., Linking political and scientifically derived targets for global biodiversity conservation: Implications for the expansion of the global network of protected areas (2008) Divers Distrib, 14, pp. 604-613Olson, D.M., Dinerstein, E., Wikramanayake, E.D., Burgess, N.D., Powell, G.V.N., Terrestrial ecoregions of the worlds: A new map of life on Earth (2001) Bioscience, 51, pp. 933-938Wilson, D.E., Reeder, D.M., (2005) Mammal species of the World: A taxonomic and geographic reference, , Baltimore: Johns Hopkins University Press. 2000 pPurvis, A., Gittleman, J.L., Cowlishaw, G., Mace, G.M., Predicting extinction risk in declining species (2000) Proc Royal Soc London B, 267, pp. 1947-1952Balmford, A., Gaston, K.J., Blyth, S., James, A., Kapos, V., Global variation in terrestrial conservation costs, conservation benefits, and unmet conservation needs (2003) Proc Natl Acad Sci USA, 100, pp. 1046-1050(2004) International Financial Statistics, , International Monetary Fund , Washington DC, International Monetary FundCIESIN, I., (2005) Gridded Population of the World (GPW), , http://sedac.ciesin.columbia.edu/plue/gpw, WRI , New York: Palisades. AvailableAndelman S, Ball I, Davis F, Stoms D (1999) SITES v. 1.0: An analytical toolbox for designing ecoregional conservation portfolios. Washington: The Nature ConservancyPossingham, H., Ball, I., Andelman, S., Mathematical methods for identifying representative reserve networks (2000) Quantitative Methods for Conservation Biology, pp. 291-306. , Ferson S, Burgman M, eds, NewYork: Springer-Verlag. p
Sistemas de aleitamento artificial para bezerros em condições tropicais
RESUMO Objetivou-se avaliar o desempenho bioeconômico de bezerros, nos primeiros 60 dias de vida, submetidos a três sistemas de aleitamento. Foram utilizados 24 bezerros (Holandês x Guzerá), sendo 12 machos e 12 fêmeas, com peso inicial de 32,25±4,8kg para as fêmeas e 36,92±6,8kg para os machos. Os animais foram distribuídos em delineamento inteiramente ao acaso, em esquema fatorial (3 x 2). Os bezerros receberam água à vontade e seis litros de sucedâneo lácteo por dia, durante 60 dias, em três estratégias diferentes, denominadas sistema de aleitamento (SA30: 3 litros de sucedâneo lácteo, duas vezes ao dia, até 30 dias de idade; SA45: 3 litros de sucedâneo lácteo, duas vezes ao dia, até 45 dias de idade; SA49: 3 litros de sucedâneo lácteo, duas vezes ao dia, até 49 dias de idade). Os sistemas de aleitamento estudados não apresentaram diferença estatística (P>0,05) para o consumo e a digestibilidade de nutrientes, com exceção para o consumo de matéria orgânica (MO) e extrato etéreo (EE). Verificou-se interação (P<0,05) entre o sistema de aleitamento e a classe sexual para os consumos de MO e EE, bem como para o ganho médio diário, em que os machos do SA 49 apresentaram maiores médias em relação ao SA 30. O desempenho bioeconômico de bezerros machos do sistema de aleitamento 49 foi superior e apresentou a melhor relação custo-benefício entre os sistemas estudados
Artificial feeding systems for calves in tropical conditions
<p></p><p>ABSTRACT The objective of this study was to evaluate the bioeconomic performance of calves in the first 60 days of life submitted to three feeding systems. Twenty-four calves (Dutch x Guzerá) were used, 12 males and 12 females, with initial weight of 32.25±4.8kg for females and 36.92±6.8kg for males. The animals were distributed in a completely randomized design, in a factorial scheme (3 x 2). The calves received water at will and six liters of milk replacer a day for 60 days in three different strategies, called the suckling system (SA-30: 3 liters of milk replacer, twice a day until 30 days of age; SA-45: 3 liters of milk replacer, twice a day until 45 days of age; SA-49: 3 liters of milk replacer, twice daily up to 49 days old). The lactation systems studied did not present statistical difference (P>0.05) for the consumption and digestibility of nutrients, except for organic matter (OM) and ethereal extract (EE). There was an interaction (P<0.05) between the suckling system and sexual class for the OM and EE intakes, as well as for the average daily gain, in which HS 49 males presented higher averages in relation to SA 30. The bioeconomic performance of male calves from the lactation system 49 was superior and presented the best cost-benefit ratio among the systems studied.</p><p></p
ATLANTIC-CAMTRAPS: a dataset of medium and large terrestrial mammal communities in the Atlantic Forest of South America
Our understanding of mammal ecology has always been hindered by the difficulties of observing species in closed tropical forests. Camera trapping has become a major advance for monitoring terrestrial mammals in biodiversity rich ecosystems. Here we compiled one of the largest datasets of inventories of terrestrial mammal communities for the Neotropical region based on camera trapping studies. The dataset comprises 170 surveys of medium to large terrestrial mammals using camera traps conducted in 144 areas by 74 studies, covering six vegetation types of tropical and subtropical Atlantic Forest of South America (Brazil and Argentina), and present data on species composition and richness. The complete dataset comprises 53,438 independent records of 83 species of mammals, includes 10 species of marsupials, 15 rodents, 20 carnivores, eight ungulates and six armadillos. Species richness averaged 13 species (±6.07 SD) per site. Only six species occurred in more than 50% of the sites: the domestic dog Canis familiaris, crab-eating fox Cerdocyon thous, tayra Eira barbara, south American coati Nasua nasua, crab-eating raccoon Procyon cancrivorus and the nine-banded armadillo Dasypus novemcinctus. The information contained in this dataset can be used to understand macroecological patterns of biodiversity, community, and population structure, but also to evaluate the ecological consequences of fragmentation, defaunation, and trophic interactions
ATLANTIC-CAMTRAPS: a dataset of medium and large terrestrial mammal communities in the Atlantic Forest of South America
Our understanding of mammal ecology has always been hindered by the difficulties of observing species in closed tropical forests. Camera trapping has become a major advance for monitoring terrestrial mammals in biodiversity rich ecosystems. Here we compiled one of the largest datasets of inventories of terrestrial mammal communities for the Neotropical region based on camera trapping studies. The dataset comprises 170 surveys of medium to large terrestrial mammals using camera traps conducted in 144 areas by 74 studies, covering six vegetation types of tropical and subtropical Atlantic Forest of South America (Brazil and Argentina), and present data on species composition and richness. The complete dataset comprises 53,438 independent records of 83 species of mammals, includes 10 species of marsupials, 15 rodents, 20 carnivores, eight ungulates and six armadillos. Species richness averaged 13 species (±6.07 SD) per site. Only six species occurred in more than 50% of the sites: the domestic dog Canis familiaris, crab-eating fox Cerdocyon thous, tayra Eira barbara, south American coati Nasua nasua, crab-eating raccoon Procyon cancrivorus and the nine-banded armadillo Dasypus novemcinctus. The information contained in this dataset can be used to understand macroecological patterns of biodiversity, community, and population structure, but also to evaluate the ecological consequences of fragmentation, defaunation, and trophic interactions