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2,260 results for “Climatic change”
FIGURE 15 in A review of the African red – flanked skinks of the Lygosoma fernandi (BURTON, 1836) species group (Squamata: Scincidae) and the role of climate change in their speciation.
FIGURE 15. Distribution of L. fernandi: 1= Guinea: Ziama Forest (Böhme 1993), 2= Guinea: N'Zebela (Chabanaud 1921), 3= Guinea: Mount Nimba (Grandison 1956, Angel et al. 1954); 4= Liberia: Boah (=Boa) (Grandison 1956); 5= Côte d'Ivoire: Tai National Park (ZFMK 76711), 6= Côte d'Ivoire: Abidjan (MHNG 1228.005–015); 7= Nigeria: Ilaro near Lagos (Dunger 1973, BM 19001261), 8= Nigeria: Songo Otta (Dunger 1973), 9= Nigeria: Asaba (Dunger 1973, BM 955316), 10= Nigeria: Okoloma (Dunger 1973), 11= Nigeria: Oil River (= Oji River) (Dunger 1973, BM 888291–92), 12= Nigeria: Oban Hills (Dunger 1973, BM 19085121), 13= Nigeria: Calabar (Dunger 1973, BM 64452, 745282); 14= Cameroon: Korup National Park (Lawson 1993, ZFMK 61250), 15= Cameroon: Dikume (ZFMK 5816), 16= Cameroon: Nyasoso (ZFMK 56015), 17= Cameroon: Buea (ZFMK 15586), 18= Cameroon: Limbe (=Victoria) (NHM 10035), 19= Cameroon: Kribi (ZFMK 8846), 20= Cameroon: Foulassi (MHNG 1013.092–098), 21= Cameroon= Ebolowa (MHNG 1228.017.018), 22= Cameroon: Assok (MHNG 2094.006), 23= Cameroon: Moueko (MHNG 917.098), 24= Cameroon: Sangmélima (NHM 10032), 25= Cameroon: Bitye (NHM 10028), 26= Cameroon: Eyodoula (NHM 10030), 27= Cameroon: Campus (MHNG 1228.016), 28= Cameroon: Ngam (MHNG 917.096–097), 29= Cameroon: Batouri (MHNG 1013.099); 30= Gabon: Kama River (ZFMK 26925); 31= Sierra Leone: Outamba–Kilimi National Park (Zug 1983); 32= Nigeria: Eket (Akani et al. 2002). Distribution of L. striatus: 33= Cameroon: Zenkerfarm, Bipindihof near Kribi (ZMH R08219); 34= Gabon: Gamba, Cette Cama, 2°42´17´´S 9°59´35´´E (IRSNB 16897); 35= Gabon: Loango National Park (USNM 561500); 36= PR Congo: near Point Noire, 4° 41' 17.52"S, 11° 58'18.264"O (RM 4671,4672); 37= Sierra Leone: without exact locality and very questionable (ZMB 10479, 10480); 38= Central African Republic: Bayanga (Chirio & Ineich 2006; MNHN 1997.3100-102); 39= Central African Republic: Barrière entrée Ecofac (Chirio & Ineich 2006; MNHN 1997.3106); 40= Gabon: Franceville (identification from images); 41= Cameroon: Kongo (NMW 8230); 42= Cameroon: Bitye (NMW 10028).
FIGURE 13 in A review of the African red – flanked skinks of the Lygosoma fernandi (BURTON, 1836) species group (Squamata: Scincidae) and the role of climate change in their speciation.
FIGURE 13. SEM images of dorsal midbody scales. a= Lepidothyris fernandi fernandi; b= Lepidothyris fernandi harlani; c= Lepidothyris hinkeli hinkeli; d= Lepidothyris fernandi joei; e= Lepidothyris striatus; f= Mochlus afer; g= Mochlus sundevalli; h= Mochlus guineensis; i= Lepidothyris fernandi harlani (detail of the fine structure of the scale surface); j= Lygosoma bowringi (detail of the fine structure of the scale surface); k= Lygosoma quadrupes; l= Lygosoma bowringi; m= Lygosoma koratense; n= Mochlus afer (detail of the fine structure of the scale surface); o= Lepidothyris f. harlani (sensible pores on the scale surface).
FIGURE 14 in A review of the African red – flanked skinks of the Lygosoma fernandi (BURTON, 1836) species group (Squamata: Scincidae) and the role of climate change in their speciation.
FIGURE 14: Distribution of the genus Lepidothyris (for references of localities see fig. 15 and 16).
FIGURE 2 in A review of the African red – flanked skinks of the Lygosoma fernandi (BURTON, 1836) species group (Squamata: Scincidae) and the role of climate change in their speciation.
FIGURE 2. Neotype of Tiliqua fernandi Burton, 1836 from Bioko Island, Equatorial Guinea (ZFMK 9362).
FIGURE 11 in A review of the African red – flanked skinks of the Lygosoma fernandi (BURTON, 1836) species group (Squamata: Scincidae) and the role of climate change in their speciation.
FIGURE 11. Lepidothyris striatus, above an adult specimen from Gamba region, Gabon, Photo by W. Branch; below a juvenile specimen from Gamba, Ogooué–Maritime Province, southwestern Gabon, Photo by E. Tobi.
FIGURE 1 in A review of the African red – flanked skinks of the Lygosoma fernandi (BURTON, 1836) species group (Squamata: Scincidae) and the role of climate change in their speciation.
FIGURE 1. Cladogram of the Bayesian tree based on 975 bp of the combined mitochondrial 16S and 12S ribosomal RNA gene sequences. Values at the nodes are Bayesian posterior probabilities (values below 0.5 not shown).
FIGURE 12 in A review of the African red – flanked skinks of the Lygosoma fernandi (BURTON, 1836) species group (Squamata: Scincidae) and the role of climate change in their speciation.
FIGURE 12. Principal Component Analysis of the L. fernandi s. l. complex. A= all species of the genus included. B= only western and central African taxa included (L. fernandi s. str. species group). C= only individuals of L. hinkeli included.
FIGURE 5 in A review of the African red – flanked skinks of the Lygosoma fernandi (BURTON, 1836) species group (Squamata: Scincidae) and the role of climate change in their speciation.
FIGURE 5. Lepidothyris fernandi harlani from Ghana (without detailed locality). Photo by Philipp Wagner.
FIGURE 1 in Conservation assessments in climate change scenarios: spatial perspectives for present and future in two Pristidactylus (Squamata: Leiosauridae) lizards from Argentina
FIGURE 1. General Niche-Environment System Factor Analysis (GNESFA) and Factor Analysis of the Niche, Taking the Environment as the Reference (FANTER) for Pristidactylus species. Left column: grey points show the distribution of the RUs (here the pixels) on the axes found by the analysis and black points correspond to the RUs used by the species. Right column: correlations between the environmental variables and the axes. References: P. achalensis A–B; P. nigroiugulus C–D.
FIGURE 5 in Conservation assessments in climate change scenarios: spatial perspectives for present and future in two Pristidactylus (Squamata: Leiosauridae) lizards from Argentina
FIGURE 5. Area models for suitability habitat from the averaged replications output for: P. achalensis, A) Present model = 5008.55 km², B) Model for 2050 RCP 45 = 4054.00 km², C) Model for 2050 RCP 85 = 2677.83 km²; P. nigroiugulus, 2) Present model = 71957.34 km², E) Model for 2050 RCP 45 = 56162.45 km², F) Model for 2050 RCP 85 = 38501.27 km². References: Country / province names, protected areas perimeters dashed-green lines, protected areas intersected with suitable areas filled in solid green, localities in red dots, and defined accessible area (M) in the upper left box.
FIGURE 4 in Conservation assessments in climate change scenarios: spatial perspectives for present and future in two Pristidactylus (Squamata: Leiosauridae) lizards from Argentina
FIGURE 4. True skill statistic (TSS) performed on the replicates for each species. References: mod, number of model replicate; values close to 1 indicates perfect agreement, values near zero indicates a performance no better than random.
FIGURE 3. RUs histograms for P in Conservation assessments in climate change scenarios: spatial perspectives for present and future in two Pristidactylus (Squamata: Leiosauridae) lizards from Argentina
FIGURE 3. RUs histograms for P. nigroiugulus. The white columns show the distributions of available RUs, whereas grey columns show the distributions of used RUs.
FIGURE 2. RUs histograms for P in Conservation assessments in climate change scenarios: spatial perspectives for present and future in two Pristidactylus (Squamata: Leiosauridae) lizards from Argentina
FIGURE 2. RUs histograms for P. achalensis. The white columns show the distributions of available RUs, whereas grey columns show the distributions of used RUs.
Evidence for antagonistic effects of climate change and exotic pathogens on regeneration of Mediterranean forests
<ol> <li>Understanding the interactive effects of global change drivers on tree demography is fundamental for realistic predictions of future forest dynamics. Multiple studies have shown increasing drought and exotic pathogens to severely threaten forest persistence by increasing mortality and decreasing growth of adult trees. However, much less is known about their effects on regeneration, and how they might affect seedling performance in additive and non-additive (synergistic or antagonistic) ways.</li> <li>Here we aimed to fill this gap by experimentally exploring the effects of increasing drought and soil-borne pathogens on tree regeneration in two types of mixed oak forests (<em>Quercus suber</em>-<em>Q. canariensis </em>and<em> Q. suber-Olea europaea</em>) invaded by the exotic soil-borne oomycete <em>Phytophthora</em> <em>cinnamomi</em>, one of the most aggressive plant pathogens on earth. We conducted a seed-sowing experiment with oomycete-specific fungicide taking advantage of rainfall exclusion infrastructures that excluded 30% of the annual rainfall, simulating predictions of climate change models for Mediterranean systems. Seedling emergence, survival and growth of the three tree species were followed over 3 years.</li> <li>We found that neutral or positive drought effects on regeneration dominated over negative effects in the tree community. Moreover, most positive drought effects on the dominant species (<em>Q. suber</em>) were not direct, but rather indirectly mediated by soil-borne pathogens. This was shown by the fact that positive drought effects disappeared with fungicide application. </li> <li> <em>Synthesis</em>: Overall, our results suggest that rainfall reductions predicted by climate change models for the Mediterranean region might have minor direct negative effects on early regeneration of tree species, but that could play a major indirect role by limiting the negative effects of exotic pathogens on highly susceptible tree species. These findings highlight that antagonisms among global change drivers should be recognized as important forces that might slow down the current loss of tree health.</li> </ol>
Data for "Climate change will reduce inland wetland areas and disrupt their seasonal regimes in North America"
<p>Dataset in matlab format that used to plot figures in the manuscript of Climate change will reduce inland wetland areas and disrupt their seasonal regimes in North America. Using load Figure#.mat in Figure#.m to plot corresponding figure. </p>
Data from: The effect of climate change on forest fire danger and severity in the Canadian boreal forests for the period 1976–2100
<p>Recent climatic trends have increased forest fire activity in Canada. This study aimed to evaluate how forest fire conditions might evolve across the Canadian borael forests in the future and to inform discussion about the impact of climate change on fire danger and severity.</p>
A Critical Review of the Impact of Climate Change on Food Security in Nigeria: A Vulnerability Assessment
<p>This review explores the profound ramifications of climate change on food security in Nigeria through a comprehensive vulnerability assessment. As a nation heavily reliant on agriculture, Nigeria faces escalating challenges exacerbated by shifting climatic patterns. This study employs a multi-faceted approach to analyze the intricate interplay between climate change and food security, considering both current and projected impacts. Utilizing a combination of quantitative and qualitative methods, the research evaluates the vulnerability of key agricultural regions, examining variations in temperature, precipitation, and extreme weather events. The findings underscore a heightened susceptibility of crop yields and livestock production to climatic anomalies, presenting a clear threat to the nation's food supply chain. Moreover, the study delves into the socio-economic dimensions of vulnerability, scrutinizing the adaptive capacity of local communities and the efficacy of existing policies. Identifying vulnerable populations and regions is crucial for targeted interventions and policy formulation. The study however, discusses potential adaptation strategies, emphasizing the importance of sustainable agricultural practices, climate-resilient crop varieties, and community-based initiatives.</p>
Supplementary material 1 from: Souza AT, Dias E, Antunes C, Ilarri M (2023) Disruptions caused by invasive species and climate change on the functional diversity of a fish community. NeoBiota 88: 211-244. https://doi.org/10.3897/neobiota.88.108283
Daily air temperature and precipitation data, extracted from the NASA Langley Research Center (LaRC) POWER Project website
Calibration data for Climate Change Tower temperature sensors - may 2017
<p>Calibration data for the temperature sensors hosted at Climate Change Tower in Ny-Ålesund, Svalbard, during May 2017. Each namefile contains the temperature point (e.g. m25 is -25 °C, while p5 is +5 °C) and the sensor type ("ref" for reference, "DUT" for Device under test).</p> <p>Reference files contain data for the 2 reference sensors employed, while DUT files contain data for the 4 CCT sensors.</p>
Data from: The effect of shrub cover on conifer water-use patterns, growth, and response to climate change in the southern Sierra Nevada
<p>As wildfire increases in size and severity, large areas of forest are undergoing substantial increases in shrub cover. In forests where water is the limiting resource, the paritioning of soil water between shrubs and trees may determine how shrubs affect tree growth and water-stress. We analyzed hydrogen and oxygen isotopes in the xylem water for two conifer species and two shrub species to assess how shrub cover affects the water-uptake patterns of conifers in the southern Sierra Nevada. Further, we analyzed tree growth and stable carbon isotopes in tree rings to assess how shrub cover affects tree growth, intrinsic water-use efficiency and response to climate change.</p>
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International Brain Laboratory public data
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OpenNeuro
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