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36 results for “climbers”
Figure 3 from: Neto NR, Ronqui RA, Seidinger LC, Udulutsch RG (2018) Climbers of the Estação Ecológica de Assis, State of São Paulo, Brazil: floristics and identification keys. PhytoKeys 99: 67-84. https://doi.org/10.3897/phytokeys.99.13659
Figure 3 Dilleniaceae (J. Doliocarpus dentatus). Loganiaceae (K Strychnos bicolor). Malpighiaceae (L Banisteriopsis muricata M B. stellaris N Mascagnia cordifolia). Rhamnaceae (O Gouania latifolia). Sapindaceae (P Serjania confertiflora). Smilacaceae (Q Smilax fluminensis; R. Smilax elastica).
Figure 1 from: Neto NR, Ronqui RA, Seidinger LC, Udulutsch RG (2018) Climbers of the Estação Ecológica de Assis, State of São Paulo, Brazil: floristics and identification keys. PhytoKeys 99: 67-84. https://doi.org/10.3897/phytokeys.99.13659
Figure 1 Study area, Estação Ecológica de Assis, state of São Paulo, Brazil (trails and edges sampled in red).
Figure 4 from: Schweiger O, Harpke A, Wiemers M, Settele J (2014) CLIMBER: Climatic niche characteristics of the butterflies in Europe. ZooKeys 367: 65-84. https://doi.org/10.3897/zookeys.367.6185
Figure 4 - Temporal availability of records and corresponding sampling intensity. Only the period of 1981–2000 has been considered in CLIMBER.
Figure 6 from: Schweiger O, Harpke A, Wiemers M, Settele J (2014) CLIMBER: Climatic niche characteristics of the butterflies in Europe. ZooKeys 367: 65-84. https://doi.org/10.3897/zookeys.367.6185
Figure 6 - Work flow and data sources for the generation of CLIMBER. Butterfly distribution data are based on a database which combines information from local recorders and private, regional and national databases. Thereof, species distributional maps have been developed. Together with maps of original and derived climate variables, based on interpolated data from local weather stations, species distribution-climate relationships have been assessed in a GIS. Based on these relationships several statistics describing the climatic characteristics of 397 European butterfly species have been developed and stored in CLIMBER. Several steps of quality control ensure a high level of data accuracy. CRU; Climate Research Unit, University of East Anglia (http://www.cru.uea.ac.uk/). ALARM; EU, FP6 project 'Assessing Large Scale Risks for Biodiversity with Tested Methods' (http://www.alarmproject.net/climate/climate/).
Figure 5 from: Schweiger O, Harpke A, Wiemers M, Settele J (2014) CLIMBER: Climatic niche characteristics of the butterflies in Europe. ZooKeys 367: 65-84. https://doi.org/10.3897/zookeys.367.6185
Figure 5 - Taxonomic coverage according to the entire European butterfly fauna (a) and families (b). Values indicate number of species.
Figure 3 from: Schweiger O, Harpke A, Wiemers M, Settele J (2014) CLIMBER: Climatic niche characteristics of the butterflies in Europe. ZooKeys 367: 65-84. https://doi.org/10.3897/zookeys.367.6185
Figure 3 - Geographic coverage used for the calculation of the climatic species characteristics. Purple dots indicate 50 km × 50 km CGRS grid cells with available species records.
Figure 2 from: Schweiger O, Harpke A, Wiemers M, Settele J (2014) CLIMBER: Climatic niche characteristics of the butterflies in Europe. ZooKeys 367: 65-84. https://doi.org/10.3897/zookeys.367.6185
Figure 2 - Results from a principal component analysis of the species-specific mean values of six different climate variables. Mean values per species have been calculated based on the observed records per 50 km × 50 km CGRS grid cell across a species' European distribution. PC1 explained 58% and PC2 32% of the variability. Niche characteristics according to annual temperature (temp) and growing degree days until August (gdd) are highly correlated. Also, the two measures of water availability, annual precipitation (pre) and soil water content (swc) show some similarity, while the indicators of annual range in precipitation (pre.range) and temperature (temp.range) are negatively correlated. In spite of these similarities, aspects of energy, water and their annual variability can be assessed independently with a choice of at least three of the indicators.
Figure 1 from: Schweiger O, Harpke A, Wiemers M, Settele J (2014) CLIMBER: Climatic niche characteristics of the butterflies in Europe. ZooKeys 367: 65-84. https://doi.org/10.3897/zookeys.367.6185
Figure 1 - Proportion of species (%) with different climatic risk status after Settele at al. (2008) assuming full dispersal (a) and no dispersal capacity (b).
Survey-Based Study on Recovery Period Differences in Upper Extremity Injuries Among Indoor Climbers by Treatment Method
ClinicalTrials.gov study NCT07278791. IPD Sharing: NO. Countries: 0. Publications: 1.
Acute Beetroot Juice Supplementation in Amateur Climbers
ClinicalTrials.gov study NCT05210244. IPD Sharing: Not stated. Countries: 1. Publications: 0.
PSMA MRI Guided Prostate SBRT (ARGOS)/Comprehensive, Longitudinal Evaluation of Imaging Biomarkers Post Radiotherapy (CLIMBER)
ClinicalTrials.gov study NCT05269550. IPD Sharing: NO. Countries: 1. Publications: 0.
Effect of Muscular Imbalance Between Flexors and Extensors of the Fingers and Wrist on Upper Limb Injuries in Climbers
ClinicalTrials.gov study NCT06361654. IPD Sharing: NO. Countries: 1. Publications: 0.
Functional and Performance Determinants in Climbers: Examining the Role of Mobility, Stability, and Fatigue Across Proficiency Levels
ClinicalTrials.gov study NCT06830655. IPD Sharing: NO. Countries: 1. Publications: 0.
CAN CREATINE SUPPLEMENTATION IMPROVE PERFORMANCE in ROCK CLIMBERS?
ClinicalTrials.gov study NCT06832423. IPD Sharing: NO. Countries: 1. Publications: 0.
Shoulder Kinematics and Muscle Activation in Sport Climbers With Shoulder Pain
ClinicalTrials.gov study NCT05139654. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Thoracic Spine and Shoulder Kinematics and Muscle Activation in Rock Climbers With Shoulder Pain
ClinicalTrials.gov study NCT05950360. IPD Sharing: NO. Countries: 1. Publications: 0.
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