@article {1326,
	title = {Impact of the activity of dung beetles (Coleoptera : Scarabaeidae : Scarabaeinae) inhabiting pasture land in Durango, Mexico},
	journal = {Environmental Entomology},
	volume = {33},
	number = {5},
	year = {2004},
	note = {digital copyhave copy},
	month = {Oct},
	pages = {1306-1312},
	abstract = {In this study, I analyzed the diversity of the dung beetle community (Coleoptera: Scarabaeidae: Scarabaeinae) in relation to its bovine dung-removal efficiency in a cattle ranch with a load of 250 animals currently under holistic resource management. A total of 3,430 individuals of 8 Scarabaeinae species was collected, of which 5 species are abundant in the area: Euoniticellus intermedius (Reiche), Digitonthophagus gazella (Fabricius), Onthophagus mexicanus Bates, O. knulli Howden and Cartwright, and Canthon humectus (Say). Of these 5 species, E. intermedius, D. gazella, and C. humectus were dominant in terms of abundance and biomass. Cattle dung pats were exploited mostly within the first 48 h after deposition. The activity and abundance of dung beetles recorded in the study were insufficient to remove the amount of fresh dung deposited in cattle pastureland.},
	keywords = {assemblages, baited pitfall traps, cattle, diversity, dung beetle, Dung beetles, Durango, ecological function, ecosystem service, ecosystems, holistic resource management, insects, larvae, scarabaeoidea col communities},
	url = {<Go to ISI>://000224606000022},
	author = {Sofia Anduaga}
}
@article {1357,
	title = {Discriminatory power of different arthropod data sets for the biological monitoring of anthropogenic disturbance in tropical forests},
	journal = {Biodiversity And Conservation},
	volume = {13},
	number = {4},
	year = {2004},
	month = {Apr},
	pages = {709-732},
	abstract = {Arthropods were monitored by local parataxonomists at 12 sites of increasing anthropogenic disturbance (old and young secondary forests, savanna and cultivated gardens) at Gamba, Gabon. We report on the discriminatory power of different data sets with regard to the classification of sites along the disturbance gradient, using preliminary data accounting for 13 surveys and 142425 arthropods collected by Malaise, pitfall and yellow-pan traps. We compared the performance of different data sets. These were based upon ordinal, familial and guild composition, or upon 22 target taxa sorted to morphospecies and either considered in toto or grouped within different functional guilds. Finally we evaluated {\textquoteright}predictor sets{\textquoteright} made up of a few families or other target taxa, selected on the basis of their indicator value index. Although the discriminatory power of data sets based on ordinal categories and guilds was low, that of target taxa belonging to chewers, parasitoids and predators was much higher. The data sets that best discriminated among sites of differing degrees of disturbance were the restricted sets of indicator families and target taxa. This validates the concept of predictor sets for species-rich tropical systems. Including or excluding rare taxa in the analyses did not alter these conclusions. We conclude that calibration studies similar to ours are needed elsewhere in the tropics and that this strategy will allow to devise a representative and efficient biotic index for the biological monitoring of terrestrial arthropod assemblages in the tropics.},
	keywords = {assemblages, Australian rain-forest, biodiversity, biotic indexes, communities, diversity, Dung beetles, gabon, guilds, insect herbivores, parataxonomists, predictor sets, rarity, species, taxonomic resolution},
	url = {<Go to ISI>://000188005900004 },
	author = {Basset, Yves and Mavoungou, Jacques F. and Mikissa, Jean Bruno and Missa, Olivier and Miller, Scott E. and Kitching, Roger L. and Alonso, Alfonso}
}
@article {1487,
	title = {Compositional differences between dung beetle (Coleoptera: Scarabaeidae s. str.) assemblages in winter and summer rainfall climates},
	journal = {African Entomology},
	volume = {2},
	number = {1},
	year = {1994},
	pages = {45-51},
	keywords = {assemblages, Dung, Scarabaeidae, summer rainfall, winter rainfall},
	author = {Davis, A. L. V.}
}
@article {2002,
	title = {The verification and application of bioindicators: a case study of dung beetles in a savanna ecosystem},
	journal = {Journal of Applied Ecology},
	volume = {39},
	number = {4},
	year = {2002},
	note = {Times Cited: 1Cited Reference Count: 50Cited References:      ANDERSEN AN, 2002, J APPL ECOL, V39, P8     BALMFORD A, 1996, P ROY SOC LOND B BIO, V263, P1571     BROWN JH, 1984, AM NAT, V124, P255     BULMER MG, 1979, PRINCIPLES STAT     CARO TM, 1999, CONSERV BIOL, V13, P805     COLLETT D, 1991, MODELLING BINARY DAT     COLWELL RK, 2000, TRENDS ECOL EVOL, V15, P70     COUSINS SH, 1991, TRENDS ECOL EVOL, V6, P190     DAVIS AJ, 2001, J APPL ECOL, V38, P593     DAVIS ALV, 1997, AFR J ECOL, V35, P10     DAVIS ALV, 1994, J NAT HIST, V28, P383     DEMPSTER JP, 1998, INSECT POPULATIONS T     DIAMOND JM, 1975, ECOLOGY EVOLUTION CO, P342     DOUBE BM, 1983, B ENTOMOL RES, V73, P357     DOUBE BM, 1987, ORG COMMUNITIES PAST, P255     DUFRENE M, 1997, ECOL MONOGR, V67, P345     ERHARDT A, 1991, CONSERVATION INSECTS, P213     FAVILA ME, 1997, ACTA ZOOLOGICA MEXIC, V72, P1     GASTON KJ, 1997, J ANIM ECOL, V66, P579     GASTON KJ, 1994, RARITY     GREENSLADE PJM, 1983, AM NAT, V122, P352     HILTY J, 2000, BIOL CONSERV, V92, P185     JENKINS DW, 1971, MANS IMPACT TERRESTR, P351     KENT M, 1997, PROG PHYS GEOG, V21, P315     KINGSOLVER JG, 1989, PHYSIOL ZOOL, V62, P314     KITCHING RL, 2000, J APPL ECOL, V37, P284     KLEIN BC, 1989, ECOLOGY, V70, P1715     KREMEN C, 1994, CONSERV BIOL, V8, P388     LUFF ML, 1995, INSECTS CHANGING ENV, P400     LYONS SK, 1997, OIKOS, V79, P568     MAJER JD, 1998, J APPL ECOL, V35, P161     MCCULLAGH P, 1989, GEN LINEAR MODELS     MCGEOCH MA, 1998, BIOL REV, V73, P181     MCGEOCH MA, 1998, TRENDS ECOL EVOL, V13, P46     NOSS RF, 1990, CONSERV BIOL, V4, P355     RABINOWITZ D, 1981, BIOL ASPECTS RARE PL, P205     SOUTHWOOD TRE, 1977, J ANIM ECOL, V46, P337     SPECTOR S, 1998, CONSERVATION CHANGIN, P181     STEENKAMP HE, 1996, BIOL CONSERV, V78, P305     TAUBER MJ, 1998, ENVIRON ENTOMOL, V27, P523     THOMSON JD, 1996, ECOLOGY, V77, P1698     VANRENSBURG BJ, 1999, BIOL CONSERV, V88, P145     VANRENSBURG BJ, 2000, ECOLOGY, V81, P3163     VANRENSBURG BJ, 2000, J BIOGEOGR, V27, P1385     VANSTRAALEN NM, 1997, J APPL ECOL, V34, P217     VANWYK AE, 1996, BIODIVERSITY AFRICAN, P198     WEATHERLEY NS, 1990, J APPL ECOL, V27, P952     WEAVER JC, 1995, CONSERV BIOL, V9, P939     WILLIAMS KA, 1986, OECOLOGIA, V70, P362     WOLDA H, 1988, ANNU REV ECOL SYST, V19, P1EnglishArticle580UTJ APPL ECOL},
	month = {Aug},
	pages = {661-672},
	abstract = {1.Bioindicators of habitat quality and environmental change must be identified quantitatively and tested independently to confirm their usefulness. We used the indicator value (IndVal ) method, which combines measures of habitat fidelity and specificity, to assess the indicator responses of dung beetles (Coleoptera: Scarabaeidae) in Tembe Elephant Park, South Africa. The indicator responses were verified by sampling in different areas of the Park, 2 years after the responses were originally quantified. 2. We postulated that terrestrial insect indicators with different combinations of habitat specificity and fidelity might fulfil different indicator roles. Indicator species with strong habitat specificity (characteristic species) are unlikely to provide information on the direction of ecological change despite high vulnerability. Rather, detector species that span a range of ecological states are likely to be better in this role. We used IndVal for selecting such detector species that indicate the direction of ecological change. 3. Sets of species were found to be robust bioindicators, i.e. reliably characteristic across the habitat of which they were indicative. The suite of indicators was refined by discarding those with IndVal s that varied significantly across years, thus improving the confidence in the final suite of species selected. By clearly responding to a change in habitat between two ecological states, detector species provided information complementary to that provided by characteristic species. 4. The IndVal method enabled both the identification and testing of indicator (characteristic and detector) species. Because of its resilience to changes in abundance, IndVal is a particularly effective tool for ecological bioindication. 5. We conclude that both characteristic and detector species are useful bioindicators of habitat quality and conversion. We propose that bioindicators that are categorized and verified in this way will have valuable application in the monitoring of habitat integrity.},
	keywords = {assemblages, bioindication, COLEOPTERA, conservation, detector species, habitat, habitat specificity, indicator species, indicators, range size, Scarabaeidae, SELECTION, south-africa, species richness, transformation},
	url = {<Go to ISI>://000177255000011},
	author = {McGeoch, M. A. and Van Rensburg, B. J. and Botes, A.}
}
@article {2161,
	title = {Large-scale spatial ecology of dung beetles},
	journal = {Ecography},
	volume = {24},
	number = {5},
	year = {2001},
	note = {EnglishArticleOCTECOGRAPHY},
	pages = {511-524},
	abstract = {Recent modelling work shows that the composition of local communities can be influenced by the configuration of the surrounding landscape, but many of these models assume that all community members display the same type of extinction- colonization dynamics. I use Aphodius dung beetles to test the hypothesis that interspecific differences in habitat selection and dispersal capacity may translate into differences in spatial population dynamics, even among closely related species coexisting on the same resource. If this is true, then groups of species with different. characteristics would show different responses to landscape configuration. I first divided the area of Finland into a grid, and used collection records to describe regional variation in the Aphodius fauna of open cattle pastures. I then sampled dung beetles on 131 cattle farms, to examine whether the subset of species found on each farm was related to the density of pastures in the surrounding grid square. Finally, I used historical records to analyze changes in dung beetle communities during the last century, when there was great loss of pasture. Overall, I found no relationship between landscape characteristics and the total proportion of the regional species pool that was found on each farm. However, the distribution of species among guilds with different habitat specificity did related to the configuration of the landscape, and the pattern was most pronounced in a specialists species with limited dispersal. Associations between community structure and landscape configuration were superimposed on two much larger and stronger patterns: a large-scale latitudinal gradient in regional species richness, and a decelerating gain of species to local communities with an increasing regional species pool. I conclude that ecological variation among community members is a crucial factor in the analysis of local community composition, and that local species richness should always be conditioned on regional richness.},
	keywords = {abundance, assemblages, coexistence, communities, FINLAND, gradients, LATITUDINAL, METAPOPULATION DYNAMICS, PLANT-SPECIES RICHNESS, REGIONAL DIVERSITY, Scarabaeidae},
	author = {Roslin, T.}
}
@article {2218,
	title = {Biogeographic crossroads as priority areas for biodiversity conservation},
	journal = {Conservation Biology},
	volume = {16},
	number = {6},
	year = {2002},
	note = {Times Cited: 0Cited Reference Count: 61Cited References:      BALMFORD A, 1995, CONSERV BIOL, V9, P1539     BATES JM, 1998, BIOL ASSESSMENT PARQ, P112     BROOKS DR, 1992, TRENDS ECOL EVOL, V7, P55     BROOKS T, 2000, NATURE, V403, P26     BROWN JH, 1984, AM NAT, V124, P255     BROWN JH, 1995, MACROECOLOGY     CHANNELL R, 2000, NATURE, V403, P84     DALLMEIER F, 1996, MANU DIVERSITY SE PE, P61     DAVIS FW, 1996, BIOSCIENCE, V46, P74     DINERSTEIN E, 1995, CONSERVATION ASSESSM     EDMONDS WD, 1994, REVISION PHANAEUS MA     EDMONDS WD, 1972, U KANSAS SCI B, V49, P731     EMMONS LH, 1998, BIOL ASSESSMENT PARQ, P129     ENSERINK M, 1997, SCIENCE, V276, P1791     ERWIN TL, 1996, MANU BIODIVERSITY SE, P359     ERWIN TL, 1991, SCIENCE, V253, P750     FELGER RS, 1994, BIODIVERSITY MANAGEM, P36     FJELDSA J, 1997, TROPICAL FOREST REMN, P466     FOREMAN D, 2000, WILD EARTH SPR, P11     FORSYTH AB, 1998, BIOL ASSESSMENT PARQ, P181     FREITAG S, 1997, BIOL CONSERV, V82, P263     HALFFTER G, 1993, BIOL INT, V27, P15     HANSKI I, 1991, DUNG BEETLE ECOLOGY     HARVEY MB, 1998, BIOL ASSESSMENT PARQ, P144     HOLDRIDGE LR, 1967, LIFE ZONE ECOLOGY     JOHNSON N, 1995, BIODIVERSITY BALANCE     KERR JT, 1997, CONSERV BIOL, V11, P1094     KILLEEN TJ, 1998, BIOL ASSESSMENT PARQ, P61     KITCHING IJ, 1996, BIODIVERS CONSERV, V5, P841     KREMEN C, 1993, CONSERV BIOL, V7, P796     LOMOLINO MV, 1998, CONSERV BIOL, V12, P481     LOMOLINO MV, 1995, J MAMMAL, V76, P335     MARGULES CR, 2000, NATURE, V405, P243     MAYR E, 1963, ANIMAL SPECIES EVOLU     MCKENZIE NL, 1989, BIOL CONSERV, V50, P231     MITTERMEIER RA, 1998, CONSERV BIOL, V12, P516     MYERS N, 2000, NATURE, V403, P853     OLIVER I, 1998, CONSERV BIOL, V12, P822     OLSON DM, 1998, CONSERV BIOL, V12, P502     PEARSON DL, 1992, CONSERV BIOL, V6, P376     PEARSON DL, 1999, J BIOGEOGR, V26, P1079     POGUE MG, 1996, MANU BIODIVERSITY SE, P313     PRENDERGAST JR, 1999, CONSERV BIOL, V13, P484     PRENDERGAST JR, 1997, ECOGRAPHY, V20, P210     PRENDERGAST JR, 1993, NATURE, V365, P335     PRESSEY RL, 1993, TRENDS ECOL EVOL, V8, P124     REID WV, 1998, TRENDS ECOL EVOL, V13, P275     REMSEN V, 1995, BIRD CONSERV INT, V5, P181     RICKETTS TH, 1999, BIOSCIENCE, V49, P369     RODRIGUES ASL, 1999, P ROY SOC LOND B BIO, V266, P1453     ROTHLEY KD, 1999, ECOL APPL, V9, P741     SARMIENTO J, 1998, BIOL ASSESSMENT PARQ, P167     SCHNEIDER CJ, 1999, P NATL ACAD SCI USA, V96, P13869     SMITH TB, 1997, SCIENCE, V276, P1855     SPECTOR S, 1998, CONSERVATION CHANGIN, P181     VANEWRIGHT RI, 1991, BIOL CONSERV, V55, P235     WARSHALL P, 1994, BIODIVERSITY MANAGEM, P408     WHITTAKER RH, 1972, TAXON, V21, P213     WIKRAMANAYAKE E, 1998, BIODIVERSITY ASSESSM     WILLIAMS P, 1996, CONSERV BIOL, V10, P155     WILLIAMS PH, 1996, BIOL J LINN SOC, V58, P125EnglishArticle618LTCONSERV BIOL},
	month = {Dec},
	pages = {1480-1487},
	abstract = {Threats to biodiversity outpace the resources of the conservation community and necessitate careful prioritization of conservation actions. I suggest that targeting the regions where biogeographic assemblages intersect - " biogeographic crossroads" - is a strategy that may achieve significant conservation economy by focusing on areas that satisfy many conservation criteria. I used a combination of data on Scarabaeine beetles in Bolivia and on other taxa and locations from the literature to consider the short- and long-term benefits of conserving these biogeographic crossroads. Biogeographic crossroads are areas of high species richness and beta diversity, often across many taxonomic groups. They are also regions where representativeness can be achieved with relative efficiency. Recent evidence that ecotones may be loci of evolution suggests that evolutionary processes such as speciation and coevolution may be conserved at biogeographic crossroads. Biogeographic crossroads appear to be areas of high conservation priority and opportunity in both the short and long term and require increased attention in the process of setting conservation priorities.},
	keywords = {assemblages, complementary areas, congruence, diversity, forest, hotspots, patterns, species richness, strategies, tiger beetles},
	url = {<Go to ISI>://000179420100009},
	author = {Spector, S.}
}
@article {2312,
	title = {Community convergence in disturbed subtropical dune forests},
	journal = {Ecology},
	volume = {86},
	number = {3},
	year = {2005},
	month = {Mar},
	pages = {655-666},
	abstract = {Do communities return to their former state when we disturb them? The answer is "surely not always," since some disturbances may be so devastating that recovery will be impossible. If communities do recover, then how fast is that recovery? Do different subsets of species return at the same rate? Is that rate a simple exponential recovery-meaning that the change toward the original state is fastest when the community is furthest away and it slows as the community converges? Or is recovery a more dynamically complex process? These questions are theoretically interesting and practically important. The theoretical questions are if there is a particular state-some exact composition-to which a community is likely to return, if there might be several (or many) possible such states, or if community composition is essentially haphazard. The practical implication is that if disturbed ecological communities do not tend to return to a previous state, it may be impossible to undo human impacts on natural ecosystems. We follow the fate of species assemblages following the removal of vegetation for mining. We chow that these assemblages in restored subtropical coastal dune forests in South Africa do converge with a regional equilibrium state and that convergence is possible within a reasonable period. However, changes in assemblages from different trophic levels were idiosyncratic: convergence in the dung beetle assemblage did not mimic convergence for trees and birds, for example. Few of the assemblages converged exponentially, the simplest shape for the decay function. Furthermore, trends were sometimes different for different indices of community dissimilarity, suggesting that whether one accepts convergence depends, in part, on exactly what one measures.},
	keywords = {assemblages, coastal dune forests, community organization, convergence, div, dynamics, ecological communities, ecological restoration, mining, Rehabilitating coastal dunes, resilience, richards bay, south africa, south-africa, species richness, succession},
	url = {<Go to ISI>://000227659700015 },
	author = {Wassenaar, T. D. and Van Aarde, R. J. and Pimm, S. L. and Ferreira, S. M.}
}
