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Interactions between land use, taxonomic group and aspects and levels of diversity in a Brazilian savanna: implications for the use of bioindicators

<p>The study was carried out&nbsp;in&nbsp;the&nbsp;Tri&acirc;ngulo&nbsp;Mineiro region of Minas Gerais state, covering the municipalities of&nbsp;Uberl&acirc;ndia, Monte&nbsp;Alegre,&nbsp;and Nova Ponte,&nbsp;in&nbsp;south-eastern&nbsp;Brazil.&nbsp;We&nbsp;conducted the study&nbsp;in&nbsp;five habitat types,&nbsp;comprising&nbsp;two&nbsp;natural&nbsp;habitats&nbsp;(savanna&nbsp;and&nbsp;semideciduous forest),&nbsp;and three anthropogenic land-uses:&nbsp;cattle pastures (planted with&nbsp;introduced&nbsp;Urochloa&nbsp;grasses),&nbsp;soy fields (where sampling took place when plants were at the vegetative phase)&nbsp;and&nbsp;&nbsp;plantations&nbsp;of&nbsp;Eucalyptus&nbsp;trees&nbsp;(&ge;&nbsp;6&nbsp;yrs&nbsp;old).&nbsp;Ants&nbsp;and beetles&nbsp;were sampled&nbsp;at&nbsp;the same&nbsp;40 sites (8&nbsp;replicates&nbsp;per&nbsp;land use), and birds&nbsp;at&nbsp;30 sites (6&nbsp;replicates&nbsp;per land use), only some of which were the same as for ants and beetles.&nbsp;</p> <p>Ants&nbsp;that forage on ground&nbsp;and&nbsp;dung beetles&nbsp;were sampled&nbsp;using&nbsp;pitfall traps. Sampling took&nbsp;place in&nbsp;November&nbsp;and December&nbsp;(early wet season)&nbsp;2017.&nbsp;In each site, eight traps were&nbsp;installed with traps located at the corners of a 100&times;100&nbsp;m square, and at the mid-points of&nbsp;the sides of the square,&nbsp;keeping a&nbsp;minimum distance of 50&nbsp;m between&nbsp;any two&nbsp;traps.&nbsp;All traps were at least 75 m distant from the edge of the respective land&nbsp;use.&nbsp;Traps were plastic containers (19 cm&nbsp;diam, 11 cm height) filled with 150 ml of a saline solution and detergent. Each trap had a wire hoop suspended over it to accommodate a small (4 cm&nbsp;diam, 4 cm height) plastic container for holding a dung bait. We used a 20 cm&nbsp;diameter plastic cover supported by three sticks to protect traps from rain. Traps were baited with&nbsp;~40 g of a mixture of pig dung and human&nbsp;faeces&nbsp;(4:1 proportion)&nbsp;and left in the field for 48-hrs.</p> <p>Birds were surveyed&nbsp;using&nbsp;20-min point counts in the rainy season (November 2017 to March 2018). At each site,&nbsp;five sampling points were established, 200 m distant from each other. All surveys started at sunrise (about 6 a.m.), and all species seen or heard from each point were recorded. Each sampling site was&nbsp;re-surveyed&nbsp;in the&nbsp;following&nbsp;dry season (April to&nbsp;October to 2018); however, for logistic reasons we were unable to re-survey the plantation sites.&nbsp;</p> <p>Ant&nbsp;and dung beetle&nbsp;species were identified to&nbsp;species or morphospecies&nbsp;by comparison with named species in the Zoological Collection at the Federal University of&nbsp;Uberl&acirc;ndia&nbsp;(UFU)&nbsp;or&nbsp;with&nbsp;specialist assistance from Fernando Vaz de Mello, respectively.&nbsp;Vouchers of&nbsp;all&nbsp;species have been deposited&nbsp;at&nbsp;UFU&acute;s Zoological Collection.&nbsp;Birds were identified directly in the field and species&nbsp;names follow the checklist produced by the Brazilian Ornithological Records Committee.</p> <p>We classified species&nbsp;functionally&nbsp;based on&nbsp;primary diet, foraging&nbsp;location&nbsp;and/or&nbsp;behaviour, and body size,&nbsp;as&nbsp;these&nbsp;traits&nbsp;are known to be sensitive&nbsp;to habitat modifications&nbsp;and of importance for the ecosystem services provided by ants, birds, and dung beetles.</p> <p>Ant species were classified according to their diet as&nbsp;predators,&nbsp;fungivores,&nbsp;nectarivores&nbsp;or omnivores,&nbsp;and according to their main foraging location&nbsp;as arboreal, epigeal&nbsp;(aboveground)&nbsp;or hypogeal&nbsp;(in soil and litter), based on&nbsp;information provided by Brown (2000) and Silvestre&nbsp;et al.&nbsp;(2003). Species were&nbsp;further&nbsp;classified&nbsp;into four body size categories based on&nbsp;our&nbsp;measurements of body length&nbsp;(Weber&acute;s length;&nbsp;Brown,&nbsp;1953)&nbsp;of&nbsp;1-5&nbsp;ant workers&nbsp;per species:&nbsp;1 (&lt; 0.75&nbsp;mm),&nbsp;2 (0.75-1.74&nbsp;mm),&nbsp;3 (1.75-3&nbsp;mm),&nbsp;and 4 (&gt; 3 mm).</p> <p>Dung beetles were classified as coprophagous, necrophagous, frugivore, generalist or predator, according to the type of food resource each species is most&nbsp;often&nbsp;attracted to. This classification was based on over 30 years of field experience&nbsp;throughout Brazil&nbsp;by one of the authors&nbsp;of this study&nbsp;(FVM),&nbsp;who used multiple types of baits&nbsp;(e.g., carcasses, fruits, faeces)&nbsp;to attract and collect dung beetles, and/or on literature information.&nbsp;Although information about the &ldquo;attractiveness&rdquo; of different types of baits&nbsp;to&nbsp;dung beetles (used here as a proxy for primary diet)&nbsp;was&nbsp;not obtained&nbsp;directly&nbsp;in the sites of the present study, it is importat to note that we are not aware of&nbsp;any evidence&nbsp;of geographic or habitat&nbsp;variation in bait preference&nbsp;among tropical species of dung beetles.&nbsp;Dung beetles&nbsp;were also&nbsp;classified&nbsp;according&nbsp;to&nbsp;their&nbsp;foraging&nbsp;behaviour as:&nbsp;telecoprid&nbsp;(species that make a dung ball and roll it away for burial),&nbsp;paracoprid&nbsp;(species that store dung in tunnels dug immediately below the dung&nbsp;source),&nbsp;or&nbsp;endocoprid&nbsp;(species living within or immediately below the dung, without moving it).&nbsp;For this,&nbsp;we used&nbsp;the database of the&nbsp;Zoological Collection&nbsp;of&nbsp;the Federal University&nbsp;of&nbsp;Mato Grosso (UFMT).&nbsp;Whenever sample sizes&nbsp;allowed, 30&nbsp;individuals from each species&nbsp;were weighed for determination of body mass&nbsp;(following Almeida et al.,&nbsp;2011), and species were&nbsp;classified&nbsp;according to the following ordinal scale: 1&nbsp;(&lt;&nbsp;10&nbsp;mg);&nbsp;2&nbsp;(10-99&nbsp;mg);&nbsp;3&nbsp;(100-300&nbsp;mg);&nbsp;and&nbsp;4&nbsp;(&gt;300&nbsp;mg).</p> <p>Each bird&nbsp;species&nbsp;was&nbsp;classified according to&nbsp;its&nbsp;primary diet as&nbsp;frugivores granivore, insectivore, nectarivore,&nbsp;carnivore,&nbsp;detritivore,&nbsp;or omnivore,&nbsp;and according to the main&nbsp;foraging&nbsp;location&nbsp;as&nbsp;ground, understory/shrubby vegetation, or tree canopy, based on&nbsp;the&nbsp;Wilman&nbsp;et al.&nbsp;(2014) database and&nbsp;our&nbsp;own&nbsp;field experience.&nbsp;Using these&nbsp;same sources,&nbsp;we obtained information&nbsp;on&nbsp;mean body weights of each&nbsp;species and&nbsp;assigned&nbsp;them&nbsp;to one of&nbsp;five&nbsp;size categories: 1-&nbsp;(&lt;15 g);&nbsp;2&nbsp;(15-39 g);&nbsp;3&nbsp;(40-199&nbsp;g);&nbsp;4&nbsp;(200-599 g);&nbsp;and 5&nbsp;(&gt;&nbsp;600 g).</p>

opencc-by-4.0Aug 2022View details →
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Figure 3 in Woody species distribution across a savanna-dry forest soil gradient in the Brazilian Cerrado

Figure 3. Proportional occurrence of 51 woody species across 30 plots ordinated by the soil gradient of aluminum saturation and base saturation (RDA axis 1, see Figure 1) in a savanna-dry forest transition. Grey and black bars correspond to cerrado stricto sensu and dry forest plots, respectively.

opencc-by-4.0Jan 2023View details →
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Figure 2 in Woody species distribution across a savanna-dry forest soil gradient in the Brazilian Cerrado

Figure 2. Topography and the gradients of aluminum saturation, base saturation, and phosphorus across 30 plots (rectangles, 10×40 m) in a 4.5 ha area of contact between the cerrado stricto sensu (SA) and dry forest (DF) physiognomies.

opencc-by-4.0Jan 2023View details →
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Figure 1 in Woody species distribution across a savanna-dry forest soil gradient in the Brazilian Cerrado

Figure 1. Biplot of tb-RDA for woody species composition, and relationships with edaphic (P = phosphorous; A = aluminum saturation; B = base saturation) and spatial (M1 and M2) variables, among plots in cerrado stricto sensu (gray) or dry forest (black) physiognomies.

opencc-by-4.0Jan 2023View details →
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Fig. 2 in Interseasonal variation of Chrysodeixis includens (Walker, [1858]) (Lepidoptera: Noctuidae) populations in the Brazilian Savanna

Fig. 2. Population variation of Chrysodeixis includens (bars) sampled through light traps, compared to monthly normal rainfall (mm/month) (dotted line), monthly accumulated rainfall (mm/month) (continuous line) and period of corn and soybean cultivation (grey area) during five nights each month (new moon), in the 'Estação Experimental da Embrapa Cerrados', Planaltina, DF, Brazil.

opencc-by-4.0Jul 2017View details →
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Fig. 1 in Interseasonal variation of Chrysodeixis includens (Walker, [1858]) (Lepidoptera: Noctuidae) populations in the Brazilian Savanna

Fig. 1. Monthly abundance of Chrysodeixis includens moths during three crop seasons. Vectors angles represents circular mean abundance while vectors length represents how clustered is the abundance data around the average.

opencc-by-4.0Jul 2017View details →
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FIGURE 4 in Land-use changes affect the functional structure of stream fish assemblages in the Brazilian Savanna

FIGURE 4 | Structural equation model diagrams showing the effects of landscape degradation (CDI) on the functional structure of stream fish assemblages from the Araguari River basin. CDI influenced functional diversity mediated by alterations in habitat heterogeneity and stability (A. Model fit: X2 = 32.8, df = 25, p = 0.51). CDI also influenced functional identity, mediated by changes in habitat type (B. Model fit: X2 = 44.9, df = 18, p = 0.13). Arrows indicate positive (black) and negative (gray) significant direct effects (p &lt;0.05; *p &lt;0.10), with thickness proportional to their power (standardized path coefficients along arrows). Biodiversity metrics – FRic: Functional Richness; FDiv: Functional Divergence; FEve: Functional Evennes; FSpe: Functional Specialization; FOri: Functional Originality; CWM1-3: Functional Identity. For physical-habitat codes, calculation and ecological meaning, see Tab. 1.

opencc-by-4.0Oct 2021View details →
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FIGURE 5 in Land-use changes affect the functional structure of stream fish assemblages in the Brazilian Savanna

FIGURE 5 | Ecomorphological space showing the position of each fish species (36) from the Araguari River basin. Each plot represents two axes of a principal component analysis (PCA), where species are plotted according to their respective trait values. Codes at the ends of the arrows are the most important ecomorphological traits for each PCA axis. For trait and species codes, see Tab. 2 and Tab. S3, respectively).

opencc-by-4.0Oct 2021View details →
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FIGURE 2 in Land-use changes affect the functional structure of stream fish assemblages in the Brazilian Savanna

FIGURE 2 | Examples of landscape and local-habitat conditions of the streams sampled across a degradation gradient in the Cerrado: A. Streams with a small strip of riparian forests in landscapes dominated by mechanized agriculture; B. Stream with relatively well-preserved local conditions, including forest on both banks; C. Stream surrounded by intermediate riparian cover; and D. Stream running in pasture areas without any forest.

opencc-by-4.0Oct 2021View details →
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FIGURE 3 in Land-use changes affect the functional structure of stream fish assemblages in the Brazilian Savanna

FIGURE 3 | Predictions tested using structural equation modeling, indicating the expected pathways (arrows) for the effects of catchment degradation (CDI) on stream physical habitat and, consequently, on the functional structure of the fish assemblages. Land use is expected to influence the functional diversity mediated by alterations in habitat heterogeneity and stability (A), and to influence functional identity, mediated by changes in habitat type (B). Arrows indicate expected effects between predictive and response variables, which can be positive (black continuous line), negative (gray continuous line) or non-directional (dashed lines). For physical-habitat codes, calculation and ecological meaning, see Tab. 1.

opencc-by-4.0Oct 2021View details →
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FIGURE 1 in Land-use changes affect the functional structure of stream fish assemblages in the Brazilian Savanna

FIGURE 1 | Headwater streams (N = 40; black dots) sampled for fish and local physical habitat. All sites drain to Nova Ponte Reservoir in the Araguari River basin, Upper Paraná River, Minas Gerais, Brazil.

opencc-by-4.0Oct 2021View details →
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Fig. 6 in Trophic structure of a fish community in Bananal stream subbasin in Brasília National Park, Cerrado biome (Brazilian Savanna), DF

Fig. 6. Proportion of autochthonous feeding items (black) and allochthonous (gray) with respect to the rainy (C) and dry (S) seasons for the fish species that presented this significant variation. Species abbreviations: Aspidoras fuscoguttatus (aspfus), Astyanax sp. (astsp), Characidium xanthopterum (chaxan), Hasemania sp. (hassp), Hyphessobrycon balbus (hypbal), Heptapterus sp. (hepsp), Knodus moenkhausii (knomoe), Kolpotocheirodon theloura (kolthe), Moenkhausia sp. (moesp), Phalloceros harpagos (phahar), Planaltina myersi (plamye), Rhamdia quelen (rhaque) and Rivulus pictus (rivpic)..

opencc-by-4.0Sep 2011View details →
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Fig. 1 in Trophic structure of a fish community in Bananal stream subbasin in Brasília National Park, Cerrado biome (Brazilian Savanna), DF

Fig. 1. Localization of the Brasília National Park in the Distrito Federal and distribution of sampling sites in the Bananal stream subbasin, Paranoá Lake basin, DF.

opencc-by-4.0Sep 2011View details →
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Fig. 5 in Trophic structure of a fish community in Bananal stream subbasin in Brasília National Park, Cerrado biome (Brazilian Savanna), DF

Fig. 5. Feeding items distributed according to the frequency of fish species occurrence (axis X) and relative abundance (axis Y), based upon the method proposed by Amundsen et al (1996): Moenkhausia sp., Phalloceros harpagos, Planaltina myersi, Rhamdia quelen and Rivulus pictus. The number of analyzed stomachs is shown in parentheses.

opencc-by-4.0Sep 2011View details →
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Fig. 4 in Trophic structure of a fish community in Bananal stream subbasin in Brasília National Park, Cerrado biome (Brazilian Savanna), DF

Fig. 4. Feeding items distributed according to the frequency of fish species occurrence (axis X) and relative abundance (axis Y), based upon the method proposed by Amundsen et al (1996): Aspidoras fuscoguttatus, Astyanax sp., Characidium xanthopterum, Hasemania sp., Hyphessobrycon balbus, Heptapterus sp., Knodus moenkhausii and Kolpotocheirodon theloura. The number of analyzed stomachs is shown in parentheses.

opencc-by-4.0Sep 2011View details →
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Fig. 2 in Trophic structure of a fish community in Bananal stream subbasin in Brasília National Park, Cerrado biome (Brazilian Savanna), DF

Fig. 2. General view of sites 1 to 7 sampled at the Bananal stream subbasin, Paranoá Lake basin, DF.

opencc-by-4.0Sep 2011View details →
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Fig. 3. Non-metric multidimensional scaling analysis for the 13 in Trophic structure of a fish community in Bananal stream subbasin in Brasília National Park, Cerrado biome (Brazilian Savanna), DF

Fig. 3. Non-metric multidimensional scaling analysis for the 13 more abundant fish species' diet found in the Bananal stream subbasin, Paranoá Lake basin, DF. Indication of four groups A, B, C and D. Species abbreviations: Aspidoras fuscoguttatus (aspfus), Astyanax sp. (astsp), Characidium xanthopterum (chaxan), Hasemania sp. (hassp), Hyphessobrycon balbus (hypbal), Heptapterus sp. (hepsp), Knodus moenkhausii (knomoe), Kolpotocheirodon theloura (kolthe), Moenkhausia sp. (moesp), Phalloceros harpagos (phahar), Planaltina myersi (plamye), Rhamdia quelen (rhaque) and Rivulus pictus (rivpic).

opencc-by-4.0Sep 2011View details →
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Fig. 2 in Influence of the riparian zone phytophysiognomies on the longitudinal distribution of fishes: evidence from a Brazilian savanna stream

Fig. 2. Two-dimension ordinations based on Jaccard similarity coefficient (a) and on Bray-Curtis (b), considering the ten samples from the wet and dry seasons from the Correntes stream, central west Brazil.

opencc-by-4.0Mar 2010View details →
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Fig. 1 in Influence of the riparian zone phytophysiognomies on the longitudinal distribution of fishes: evidence from a Brazilian savanna stream

Fig. 1. Map showing localization of the sampled reaches of Correntes stream in the plateau region of the Paraguay basin, Mato Grosso do Sul State, Brazil.

opencc-by-4.0Mar 2010View details →
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Variation in biomass allocation and root functional parameters in response to fire history in Brazilian savannas

<p>Dataset associated with the manuscript &quot;<strong>Variation in biomass allocation and root functional parameters in response to fire history in Brazilian savannas&quot; </strong> (Le Stradic et al.). It includes 5 different datasets and for each one we provided metadata.</p> <p>above_below_b_SBI: it includes data related to aboveground and belowground biomass. Aboveground data were collected in circular plots of 0.5m2 and belowground biomass was collected using an auger of 5cm of diameter, every 10cm up to 40cm and every 20cm up to 1m depth. See the method section in the manuscript for full details.</p> <p>below_b_wet_all_SBII: it includes data related to belowground biomass (collected in the first 1m of soil, during the wet season, January-February 2018), including values for each soil depth.</p> <p>root_trait_SBI: it includes all root functional parameters for samples collected in the first 10 cm of soil.</p> <p>Sampling_data: it includes information associated with sampling areas (localization, GPS point, fire history).</p> <p>soil.expand.SBI: it includes all soil data.</p> <p>&nbsp;</p> <p><strong>Abstract</strong></p> <ol> <li>Fire is a fundamental ecological factor in savannas because it affects vegetation dynamics and ecosystem functioning. However, the effects of fire on belowground compartments, including biomass and root traits, and their regeneration remain poorly understood. In this study, we assess the variation of above- and belowground plant components along fire-history gradients in Brazilian open savannas and investigate whether vegetation and soil composition changes are associated with the responses of belowground biomass and root traits.</li> <li>The study was conducted in eight sampling areas of open savanna (<em>campo sujo</em>) the Cerrado (Brazilian savannas), located along a gradient of time since the last fire (1&ndash;34 years); the number of fires that occurred within the past 34 years (0&ndash;9 fires) varied by sampling area. In each sampling area, we measured above- and belowground biomass, root depth distribution, root functional parameters, and nutrient levels in the upper soil layers (0&ndash;10 cm).</li> <li>Rapid recovery of aboveground live biomass after a fire was primarily due to resprouting of graminoids. This recovery was associated with an increase in absorptive root biomass in the upper soil layer in the most recently burnt sites, whereas root biomass was unaffected in deeper layers. Root parameters remained constant regardless of fire history but responded to variations in vegetation structure and soil resources. Specific root length (SRL) decreased with K, Mg<sup>2+</sup>, Al<sup>3+</sup>, N, and C and increased with P concentration. In contrast, root tissue density (RTD) and absorptive root proportion were negatively correlated with soil P. RTD was strongly associated with the aboveground biomass of graminoids. Soil texture impacted the root system: the proportion of absorptive root increased with fine sand content in the soil, inversely to transport root biomass. The relationship between fire and soil composition was insignificant.</li> <li><em>Synthesis</em>. In savannas, fire stimulates absorptive root biomass in response to the higher demand for belowground resources. This response is correlated with shoot regrowth after a fire. Variations in morphological root parameters are not directly associated with fire history; instead, they reflect differences in soil chemistry, especially soil P and graminoid biomass changes.</li> </ol>

opencc-by-4.0Dec 2020View details →

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