Assessing the relationship between fire and grazing on soil characteristics and mite communities in a semi-arid savanna of northern Australia

Beyer, Stephen; Kinnear, Adrianne; Hutley, Lindsay B.; McGuinness, Keith A.; Gibb, Karen S.

doi:10.1016/j.pedobi.2011.03.002

Cited by 12 publications

(6 citation statements)

References 23 publications

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“…Meanwhile, the habitat preferences of Collembola and Nematode showed divergent dependence on DOC. Consistent with the present study, previous studies reported analogous requirements of Acari for higher soil TOC and N [ 10 ] and lower pH [ 8 , 11 ], requirements of Collembola for higher TOC [ 37 ] and lower pH [ 11 ].…”

Section: Discussionsupporting

confidence: 92%

Evaluating the Applicability of Phi Coefficient in Indicating Habitat Preferences of Forest Soil Fauna Based on a Single Field Study in Subtropical China

2016

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Phi coefficient directly depends on the frequencies of occurrence of organisms and has been widely used in vegetation ecology to analyse the associations of organisms with site groups, providing a characterization of ecological preference, but its application in soil ecology remains rare. Based on a single field experiment, this study assessed the applicability of phi coefficient in indicating the habitat preferences of soil fauna, through comparing phi coefficient-induced results with those of ordination methods in charactering soil fauna-habitat(factors) relationships. Eight different habitats of soil fauna were implemented by reciprocal transfer of defaunated soil cores between two types of subtropical forests. Canonical correlation analysis (CCorA) showed that ecological patterns of fauna-habitat relationships and inter-fauna taxa relationships expressed, respectively, by phi coefficients and predicted abundances calculated from partial redundancy analysis (RDA), were extremely similar, and a highly significant relationship between the two datasets was observed (Pillai's trace statistic = 1.998, P = 0.007). In addition, highly positive correlations between phi coefficients and predicted abundances for Acari, Collembola, Nematode and Hemiptera were observed using linear regression analysis. Quantitative relationships between habitat preferences and soil chemical variables were also obtained by linear regression, which were analogous to the results displayed in a partial RDA biplot. Our results suggest that phi coefficient could be applicable on a local scale in evaluating habitat preferences of soil fauna at coarse taxonomic levels, and that the phi coefficient-induced information, such as ecological preferences and the associated quantitative relationships with habitat factors, will be largely complementary to the results of ordination methods. The application of phi coefficient in soil ecology may extend our knowledge about habitat preferences and distribution-abundance relationships, which will benefit the understanding of biodistributions and variations in community compositions in the soil. Similar studies in other places and scales apart from our local site will be need for further evaluation of phi coefficient.

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Section: Discussionsupporting

confidence: 92%

Evaluating the Applicability of Phi Coefficient in Indicating Habitat Preferences of Forest Soil Fauna Based on a Single Field Study in Subtropical China

2016

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“…2012), but has not yet been demonstrated in soils (Russell‐Smith et al . 2003a; Beyer et al . 2011; Richards et al .…”

Section: Future Directionsmentioning

confidence: 99%

Managing fire regimes in north Australian savannas: applying Aboriginal approaches to contemporary global problems

Russell‐Smith

Cook

Cooke³

et al. 2013

Frontiers in Ecol & Environ

211

245

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Managing fire regimes in north Australia J Russell-Smith et al. ). Conversely, very limited burning is typically undertaken in more fertile, productive settings, despite the potential for applying relatively intense fires to combat encroachment by woody vegetation in some pastoral regions (Williams et al. 2002).Much of the frequently fire-affected land is under Aboriginal ownership -either under freehold title or, increasingly, under non-exclusive title arrangements (known as "native title"), as part of recent formal Australian State and Territory Government recognition of prior Aboriginal custodianship. Outside of urban settlements, Aboriginal people constitute the majority of the rural population in remote north Australian territories and, despite being "land rich", they remain severely economically and socially disadvantaged (RussellSmith et al. 2009b; White-head et al. 2009).Fires are deliberately ignited for a variety of traditional Aboriginal and other landmanagement purposes; lightning ignitions are confined to the onset of the stormy monsoonal season, typically between October and December (Russell-Smith et al. 2007). Minimal infrastructure combined with a very sparsely settled rural population (< 0.1 person per km 2 ) has resulted in a limited capacity to manage escaped fires; fire regimes in many regional settings are therefore characterized by the frequent (annual-biennial) recurrence of large (> 1000 km 2 ), late dryseason wildfires. Despite the appearance that relatively unmodified north Australian, eucalypt-dominated savanna systems are structurally intact and healthy, contemporary fire regimes are increasingly recognized as having drastic regional impacts on sustainable land use (Russell-Smith et al. 2003b), biodiversity (Woinarski et al. 2011;Russell-Smith et al. 2012), and GHG emissions and C storage (Murphy et al. 2010;Williams et al. 2012). The development of these contemporary burning patterns follows a breakdown in traditional Aboriginal methods of fire management, associated with societal collapse dating from the late 19th century (Ritchie 2009;. Traditionally, burning was undertaken throughout the year over much of northern Australia, with a focus on implementing extensive "cleaning of country" management through intensive application of small patchy burns in the early-mid dry season (Russell-Smith et al. 2003b). In Aboriginal-owned West Arnhem Land, for 2010). Typically, accountable GHG emissions contribute between 2-4% of Australia's annual National Greenhouse Gas Inventory (NGGI; ANGA 2011a). In accordance with international accounting rules, Australia's NGGI does not account for carbon dioxide (CO 2 ) emissions from savanna burning, on the assumption that such fires produce no net CO 2 flux (IPCC 1997). However, it is recognized that C fluxes in flammable savanna systems are dependent on fire regime characteristics, especially under changing fire frequency and intensity conditions (Beringer et al. 2007;Cook and Meyer 2009).In accordance with other provisions of the Kyoto Protocol, ...

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“…The Scree plot analysis allowed access to the components that explain the greater variability in the data and with it determine the distances of similarity between the groupings by sites. PERMANOVA analysis [Beyer et al 2011], using unrestricted permutations of normalized data, was performed to test the significant differences given by the SIMPROF analysis. Peer testing was employed to determine which sites given by the SIMPROF cluster were significantly different.…”

Section: Discussionmentioning

confidence: 99%

Variability of the Water Quality Characterizing High Andean Lagoons for Tourist Use Evaluated Through Multivariate Statistical Methods, Junín, Peru

et al. 2019

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The spatial-temporal variability characterizing the water quality of high Andean lagoons for tourist use was evaluated using multivariate statistical methods during 2017 and 2018. The water samples were collected from 14 sampling sites, with three replicates each. The water quality indicators determined were: pH, temperature, DO, COD, BOD 5 , P, N, Fe, Cu, Cr, Cd, Pb, Zn and chlorophyll-a. The flat cluster analysis (k R cluster) according to Ward's algorithm showed six significantly differentiated groups (α=0.01). In turn, the real similarity profile (SIMPROF) moves markedly away from the obtained low permutation with a large excess of Euclidean similarity with a Pi value of 0.627. The PCA showed that the first two components recommended by the sedimentation analysis (Scree test) indicated 61.52% of the total variation of the observations. According to the Spearman range correlation selection criterion, the variables that best interpret the sample distributions are COD, DTS, P, Cd and Zn with a correlation of 0.893, the DTS being the most important variable with a correlation value of 0.795. The PERMANOVA analysis according to the flat cluster factor indicated that at least one of the groups is different from the others in relation to the levels of physicochemical characteristics studied. Therefore, all the configured groups are statistically different, demonstrating that each lagoon is different in relation to its physicochemical indicators, according to the season in which it is found.

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Assessing the relationship between fire and grazing on soil characteristics and mite communities in a semi-arid savanna of northern Australia

Cited by 12 publications

References 23 publications

Evaluating the Applicability of Phi Coefficient in Indicating Habitat Preferences of Forest Soil Fauna Based on a Single Field Study in Subtropical China

Evaluating the Applicability of Phi Coefficient in Indicating Habitat Preferences of Forest Soil Fauna Based on a Single Field Study in Subtropical China

Managing fire regimes in north Australian savannas: applying Aboriginal approaches to contemporary global problems

Variability of the Water Quality Characterizing High Andean Lagoons for Tourist Use Evaluated Through Multivariate Statistical Methods, Junín, Peru

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