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7 results for “Microhabitat availability”
Physical soil characteristics, microbial community composition, extracellular enzymatic activity, biologically based phosphorus (BBP) pools, and available phosphorus from two soil depths, four microhabitats, and four landforms at the Jornada Experimental Range, 2021.
This dataset contains physical soil characteristics, PLFA based microbial community composition, extracellular enzymatic activity, nitrate and ammonium activity, and phosphorus availability in various phosphorus pools (Biologically Based Phosphorus, potassium sulfate, Olsen-P). Soils were collected from two depths (0-2cm, 2-30 cm), four microhabitats (grass, shrub, biocrust, interspace), and four landforms (alluvial flat, alluvial fan remnant, erosional scarplet, fan piedmont – see coordinates) within the Jornada Experimental Range in July 2021 to answer questions about how these variables change across these spatial scales in drylands. This project was a collaboration between researchers at New Mexico State University and The University of Texas at El Paso as part of the Drylands Critical Zone Thematic Cluster within the Critical Zone Network. This dataset is complete.
Fig. 2 in Fish assemblage of the Mamanguape Environmental Protection Area, NE Brazil: abundance, composition and microhabitat availability along the mangrove-reef gradient
Fig. 2. Ontogenetic patterns of habitat use in Abudefduf saxatilis, Anisotremus surinamensis, Lutjanus alexandrei, and L. jocu along the sub-areas of Mamanguape Mangrove-Reef system, NE Brazil, showing an increase in individual size classes from the Estuarine to the Reef zone. Mann Whitney U Test showed significant size differences between all sub-areas (for A. saxatilis, Transition vs. Reefs: U = 491, Z = -6.02, p = 0.00; for A. surinamensis, Transition vs. Reefs: U = 1338, Z = -6.83, p = 0.00; for L. alexandrei, Peixe-Boi vs. Transition: U = 0.00, Z = -3.39, p = 0.00; and Tanques vs. Transition: U = 0.00, Z = -2.92, p = 0.00; for L. jocu, Peixe-Boi vs. Transition: U = 7.5, Z = -3.38, p = 0.00), except between Tanques and Peixe-Boi for L. alexandrei (U = 65, Z = 0.76, p = 0.46).
Fig. 3 in Fish assemblage of the Mamanguape Environmental Protection Area, NE Brazil: abundance, composition and microhabitat availability along the mangrove-reef gradient
Fig. 3. Canonical Correspondence Analysis of fishes and environmental parameters from Mamanguape Mangrove-Reef system, NE Brazil: (a) fish species (symbols) in relation to microhabitat categories (vectors) - Eigenvalues: axis 1, 0.56; axis 2, 0,20; r species-environment: axis 1, 0.87; axis 2, 0.56; First two axes accounted for 64.9 % of the variance; (b) fish trophic groups and subareas (symbols) in relation to environmental categories (vectors) - Eigenvalues: axis 1, 0.49; axis 2, 0.39; r species-environment: axis 1, 0.79; axis 2, 0.76; First two axes accounted for 51.6 % of the variance. Monte-Carlo test of all canonical axes were significant (p <0.01), 999 permutations. Abbreviations as follows - fish species: Abusax: Abudefduf saxatilis; Acabah: Acanthurus bahianus; Acacoe: A. coeruleus; Achlin: Achirus lineatus; Anisur: Anisotremus surinamensis; Anivir: A. virginicus; Batsop: Bathygobius soporator; Centrop: Centropomus sp.; Cithspil - Citharichthys spilopterus; Corglau - Coryphopterus glaucofraenum; Dactvol - Dactylopterus volitans; Echnau: Echeneis naucrates; Epiadc: Epinephelus adscensionis; Eucmel: Eucinostomus melanopterus; Haepar: Haemulon parra; Hipprei: Hippocampus reidi; Lutana: Lutjanus analis; Lutale: L. alexandrei; Lutjoc: L. jocu; Micrbra: Microphis brachyurus; Myroce: Myrichthys ocellatus; Rypran: Rypticus randalli; Scarus: Scarus sp.; Sparis: Sparisoma sp.; Sphtes: Sphoeroides testudineus; Stefus: Stegastes fuscus; Stevar: S. variabilis; trophic groups: RH - Roving herbivore; TH - Territorial herbivore; OM - Omnivore; CA - Carnivore; IM - Invertivore of mobile prey.
Fig. 1 in Fish assemblage of the Mamanguape Environmental Protection Area, NE Brazil: abundance, composition and microhabitat availability along the mangrove-reef gradient
Fig. 1. Mamanguape estuary, State of Paraíba, NE Brazil, showing surveyed sub-areas: 1) Tanques; 2) Peixe-Boi; 3) Cação; 4) Transition; and 5) Reefs. Dashed areas represent sandbanks.
Microhabitat humidity rather than food availability drives thermo-hydroregulation responses to drought in a terrestrial lizard
<p>The content of this archive includes raw data and metadata for the paper "Microhabitat humidity rather than food availability drives thermo-hydroregulation responses to drought in a terrestrial lizard" by Bodineau et al. In this experimental study, we investigated how microclimate conditions and food availability influence thermo-hydroregulation strategies and body condition of lizards (Zootoca vivipara) during a simulated drought. We found that water restriction and food deprivation caused physiological alterations such as muscle catabolism and mobilization of caudal energy reserves. Lizards developed behavioural strategy to counteract water and food deprivation like decreased thermoregulation effort, higher shelter use and increased eye closure behaviours. Hydric quality of the shelter rather than food availability was the main modulator of trade-offs between thermoregulatory and hydroregulatory activities and an important buffer against the deleterious effects of water restriction. These original findings challenge the assumptions of mechanistic models of ectotherms, which are currently calibrated on the thermal biology of ectotherms. They demonstrate the urgent need to take into account the dual effect of warming and drought events, behavioural interactions between thermoregulation and hydroregulation and the buffering role of microclimatic conditions.</p>
Metabolic rate interacts with resource availability to determine individual variation in microhabitat use in the wild
<p class="MsoNoSpacing">Ecological pressures such as competition can lead individuals within a population to partition resources or habitats, but the underlying intrinsic mechanisms that determine an individual's resource use are not well understood. Here we show that an individual's own energy demand and associated competitive ability influence its resource use, but only when food is more limiting. We tested whether intraspecific variation in metabolic rate leads to microhabitat partitioning among juvenile Atlantic salmon (<i>Salmo salar</i>) in natural streams subjected to manipulated nutrient levels and subsequent <i>per capita</i> food availability. We found that individual salmon from families with a higher baseline (standard) metabolic rate (which is associated with greater competitive ability) tended to occupy faster flowing water, but only in streams with lower <i>per capita</i> food availability. Faster flowing microhabitats yield more food, but high metabolic rate fish only benefited from faster growth in streams with high food levels, presumably because in low food environments the cost of a high metabolism offset the benefits of acquiring a productive microhabitat. The benefits of a given metabolic rate were thus context-dependent. These results demonstrate that intraspecific variation in metabolic rate can interact with resource availability to determine the spatial structuring of wild populations.</p>
Metabolic rate interacts with resource availability to determine individual variation in microhabitat use in the wild
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