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190 results for “arid regions”
Figure 12 in Arenopsaltria nubivena (Cicadidae: Cicadinae: Cryptotympanini) from the Arid Regions of Central Australia and Southwest Western Australia
Figure 12. Species Climatic Envelope (SCE) models for Arenopsaltria nubivena produced using MaxEnt: (A) present day (1950–2000) model; (B) standard deviation of the present day model; (C) Last Glacial Maximum (LGM) projection; (D) standard deviation of the LGM projection. The coloured columns labelled 1 to 10 represent the raw outputs from an exponential function of the probability of occurrence (with 1 equal to 100% modelled likelihood of occurrence). The standard deviation maps depict variation in the model between 10 independent runs. Areas with a higher standard deviation varied more strongly in predicted climatic suitability for the species between different runs.
Figure 7 in Arenopsaltria nubivena (Cicadidae: Cicadinae: Cryptotympanini) from the Arid Regions of Central Australia and Southwest Western Australia
Figure 7. Arenopsaltria nubivena, waveform plots of calling songs from; (A) 105 km east-southeast of Yulara, southern Northern Territory, a higher resolution plot of buzzing element showing the macrosyllables, each with three dominant syllables, the hollow arrows marking the macrosyllable limits. (B, C) from 18 km east of Eneabba, southwestern Western Australia, higher resolution plots; B, showing a transition from initially six syllables per macrosyllable to three syllables per macrosyllable; C, further time expanded plot of three macrosyllables, each with six dominant syllables, the initiation of each macrosyllable marked by a higher amplitude syllable; (D) from 72 km south of Cooper Creek crossing, Birdsville Track, Strzelecki Desert, northeastern South Australia, showing macrosyllables with three and six dominant syllables, the arrows marking the macrosyllable limits. Field recordings, A filtered to 4 kHz, B to 5 kHz, C to 2 kHz, D to 1 kHz.
Figure 11 in Arenopsaltria nubivena (Cicadidae: Cicadinae: Cryptotympanini) from the Arid Regions of Central Australia and Southwest Western Australia
Figure 11. Arenopsaltria pygmaea, waveform plot of calling song from 14 km northeast of Jurien Bay, Western Australia. (A) general view of continuous buzzing song clearly exhibiting the discrete macrosyllables; (B) time expanded view showing more detail of the macrosyllable structures, each comprised of between 11 to 18 syllables; (C, D) higher resolution plots of a single macrosyllable from two separate recordings showing more detail of the syllables. Field recordings, filtered to 3 kHz.
Fig. 2 in Temporal variation in fish composition and abundance in a perennial tributary of the rio Paraguaçu, a little-known drainage in the Brazilian semi-arid region
Fig. 2. Canonical correspondence analysis ordination diagram of fish abundance data, with environmental variables, for the rainy period (November to March) and the dry period (April to October). G = Gillnet; C = Cast seine.
Fig. 1 in Temporal variation in fish composition and abundance in a perennial tributary of the rio Paraguaçu, a little-known drainage in the Brazilian semi-arid region
Fig. 1. Geographical location of the rio Paraguaçu drainage and of the sampling stretch in the rio Santo Antônio (black dot).
Fig. 3 in Food resources used by three species of fish in the semi-arid region of Brazil
Fig. 3. Percentage composition of main food items to the diet of Astyanax aff. bimaculatus. Number of stomachs used (>20% fullness) is shown above each column.
Fig. 2 in Food resources used by three species of fish in the semi-arid region of Brazil
Fig. 2. DCA plot for food items found in the diet of Astyanax aff. bimaculatus, in aquatic habitats of the Brazilian semi-arid region. v = Seridó/Borborema and Δ = Buíque/Vale do Ipojuca. Codes represent sampling sites (Table 1) and sampling occasions (1 - April, 2 - June, 3 - October, and 4 - December).
Fig. 1 in Food resources used by three species of fish in the semi-arid region of Brazil
Fig. 1. Study areas showing Seridó/Borborema - RN/PB and Buíque/Vale do Ipojuca - PE. Towns and cities are denoted by squares. Study sites are: 1 - Seridó River, 2 - Cipó stream, 3 - Recanto Reservoir, 4 - Escama-Peixe stream, 5 - Mulungú Reservoir, and 6 - Gurjão Reservoir.
Intraspecific variation and economics spectrum of Phragmites australis in lakeshore wetland of (semi-) arid regions
<p><em>Phragmites australis</em>, as a widely distributed species, has a high degree of intraspecific variation in functional traits and is able to respond to external climatic and environmental changes and adjust its adaptation strategies on time. The plant economic spectrum can reflect the adaptation strategies of resource acquisition and storage of plants in different climatic regions, and provide a scientific basis for understanding the ecological differentiation of plants in different habitats and their adaptation mechanisms. In this study, the morphological traits, nutrient contents and stoichiometric ratios of <em>P. australis</em> in lakes and lakeshore wetlands of semi-arid and arid climatic regions from east to west in Inner Mongolia Plateau were investigated to reveal the variability of plant functional traits at different regional scales and the influencing factors, and to reveal the ecological adaptation strategies of <em>P. australis</em> in different regions through plant economic spectrum. The results showed that soil moisture gradient, geographic location and regional scale effected the intraspecific variation of functional traits of <em>P. australis</em>. At the local scale, soil moisture gradients had opposite effects on the response to functional traits of <em>P. australis</em> in the arid and semi-arid regions. At the regional scale, climatic factors dominated the variation of reed functional traits across the latitudinal gradient, while the correlation with soil properties was not significant (<em>P</em> > 0.05). Plant economic spectrum theory is also applicable to the functional traits of various organs and whole plants of <em>P. australis</em> populations at different regional scales, and the acquisition and assimilation of resources is conservative in arid regions, while in semi-arid regions it is an acquisition strategy. This study provides a new understanding of the ecological niche differentiation and drivers of plant populations and ecological adaptation strategies of species at the regional scale, and provides a theoretical basis for the restoration and reconstruction of degraded wetland ecosystems.</p>
Figure 6 in Host effect on morphology of the fruit fly Anastrepha zenildae (Diptera: Tephritidae) from the Semi-Arid region of Rio Grande do Norte
Figure 6. Wireframe Comparison of Discriminant Function Analysis of the wings of Anastrepha zenildae (Males and females) from Guava and Jua fruits. (A) Wing shape variation between female and male flies of the same host, in a semi-arid region. (B) between female and male flies from different hosts. GUAF = Females from Guava; GUAM = Males from Guava; JUAF = Females from Jua; JUAM = Males from Jua. Larger symbols: Centroids of each dataset.
Figure 4 in Host effect on morphology of the fruit fly Anastrepha zenildae (Diptera: Tephritidae) from the Semi-Arid region of Rio Grande do Norte
Figure 4. Principal component analysis (PCA) of the adult flies of Anastrepha zenildae (Males and females) from Guava and Jua fruits. GUAF = Females from Guava; GUAM = Males from Guava; JUAF = Females from Jua; JUAM = Males from Jua. Larger symbols: Centroids of each dataset.
Figure 5 in Host effect on morphology of the fruit fly Anastrepha zenildae (Diptera: Tephritidae) from the Semi-Arid region of Rio Grande do Norte
Figure 5. CanonicalVariable Analysis (CVA) of the wings of adult Anastrepha zenildae (Males and females) from Guava and Jua fruits (above), and the wireframes of wing shape for each investigated component (below). GUAF = Females from Guava; GUAM = Males from Guava; JUAF = Females from Jua; JUAM = Males from Jua. Wireframes in black represent displacement for each CV.
Figure 3 in Host effect on morphology of the fruit fly Anastrepha zenildae (Diptera: Tephritidae) from the Semi-Arid region of Rio Grande do Norte
Figure 3. Representation of landmarks in wing structure and consensus shape applied to Anastrepha zenildae with landmarks. 1 = intersection of humeral and costal veins; 2 = intersection of subcostal and costal vens; 3 = intersection of R1 and costal veins; 4 = intersection of R2+3 and costal veins; 5 = intersection of R4+5 and costal veins; 6 = intersection of M vein with wing margin; 7 = intersection of vein Cu1 with wing margin; 8 = intersection of vein A1+Cu2 and wing margin; 9 = intersection of A1 and Cu2 veins; 10 = intersection of M vein and base of bm cell; 11 = intersection of Cu1 and Cu2 veins; 12 = intersection of M and bm-cu veins; 13 = intersection of Cu1 and bm-cu veins; 14 = intersection of r-m and R4+5 veins; 15 = intersection of r-m and M veins; 16 = intersection of M and dm-cu veins; 17 = intersection of Cu1 and dm-cu veins.
Mapping shallow groundwater solute footprints in arid regions using a hydrologically enhanced species distribution model
<p>The topography-only SDM of shallow groundwater and deep groundwater, the final models-SDM maps of shallow groundwater, their improvements, the original dataset of water chemistry, and the related R script in the study are available here</p>
Near real-time ultrahigh-resolution imaging from unmanned aerial vehicles for sustainable land use management and biodiversity conservation in semi-arid savanna under regional and global change (SAVMAP)
<p>To prevent aggravation of existing poverty in semi-arid savannas, a comprehensive concept for the sustainable adaptive management and use of these ecosystems under unprecedented conditions is needed. SAVMAP is an innovative, trans-, and inter-disciplinary initiative whose goal is to develop a valuable monitoring tool for both sustainable land-use management and rare species conservation (black rhinoceros) in semi-arid savanna in Namibia. SAVMAP uses near real-time ultrahigh-resolution photographic imaging (NURI) facilitated by unmanned aerial vehicles (UAVs) designed at EPFL.</p>
Understanding arid‐region waterbird community dynamics during lake dry‐downs
<p>These data were collected to explore changes in the bird community associated with Lake Ngami, Botswana, through successive drydown periods. Our analysis shows significant shifts, driven partially by changes in water level, in the species composition of the bird community over the period of study. The data set contains standardised half-hour point counts for the bird community of Lake Ngami, Botswana; and R code used for community-level analyses of the resulting time series. Counts were undertaken every 4 months from October 2007-July 2009.</p> <p>We used the data to test three theoretical predictions: simplification of the bird community over time due to a reduction in habitat area and concurrent niche loss; large fluctuations in densities of mobile, opportunistic species; and high variance in predator and prey abundance. Despite temporal variance in species accumulation, we observed no obvious simplification of the bird community over time. There were distinct but consistent groupings of abundance and composition across transitional stages in lake water levels. The data do show some rapid shifts in functional composition, such as loss of deepwater foragers; winners and losers also occurred within foraging guilds.</p>
Host influence on life history traits of Ceratitis capitata Wiedemann in an arid region of Argentina
<pre>Data set of life history traits of Ceratitis capitata recovered from peaches, plums, and figs grown under climatic conditions of an irrigated oasis in San Juan, Argentina.</pre>
An Integrated Precipitation Product for the Arid and Semi-arid Regions of China
<p>We integrate various reanalysis, meteorological observation, and satellite precipitation datasets, including CRU (Climate Research Unit), MERRA2 (Modern-Eta Retrospective Analysis for Research and Applications version2), CMAP (Climate Prediction Center (CPC) integrated analysis of monthly precipitation), GPCP (Global Precipitation Climatology Project) and GPM (Global Precipitation Measurement), to create a new monthly precipitation product with a spatial resolution approximately 0.2° × 0.2° (latitude × longitude) during the period from 1980 to 2019 in ASRC. The new product was validated with observations at different temporal scales (e.g., monthly to yearly variability and trends). The results show that the new product improves the accuracy of precipitation with the lower bias of -1.1 mm month<sup>-1</sup>. The annual trend of integrated precipitation is 0.09 mm/year which is consistent with the trend of observation. </p>
Mapping of aridity and its connections with climate classes and climate desertification in future scenarios – Brazilian semi-arid region
<p>This database comes from the article entitled ''Mapping of aridity and its connections with climate classes and climate desertification in future scenarios –Brazilian semi-arid region'' (https://seer.ufu.br/index.php/sociedadenatureza /article/view/67666/36193). We provide data on aridity and desertification index for the current scenario and future projections considering changes in climate.</p>
Ecosystem shifts and Cladocera responses in a freshwater lake in semi-arid regions: The successional synergistic effects of natural and human factors in the past 170 years
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Allen Brain Atlas
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International Brain Laboratory public data
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