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181.
Hattie L. A. Bartlam‐Brooks Mpaphi C. Bonyongo Stephen Harris 《Ecology and evolution》2013,3(9):2795-2805
Most large‐bodied wildlife populations in sub‐Saharan Africa only survive in conservation areas, but are continuing to decline because external changes influence ecological processes within reserves, leading to a lack of functionality. However, failure to understand how landscape scale changes influence ecological processes limits our ability to manage protected areas. We used GPS movement data to calculate dry season home ranges for 14 zebra mares in the Okavango Delta and investigated the effects of a range of landscape characteristics (number of habitat patches, mean patch shape, mean index of juxtaposition, and interspersion) on home range size. Resource utilization functions (RUF) were calculated to investigate how specific landscape characteristics affected space use. Space use by all zebra was clustered. In the wetter (Central) parts of the Delta home range size was negatively correlated with the density of habitat patches, more complex patch shapes, low juxtaposition of habitats and an increased availability of floodplain and grassland habitats. In the drier (Peripheral) parts of the Delta, higher use by zebra was also associated with a greater availability of floodplain and grassland habitats, but a lower density of patches and simpler patch shapes. The most important landscape characteristic was not consistent between zebra within the same area of the Delta, suggesting that no single foraging strategy is substantially superior to others, and so animals using different foraging strategies may all thrive. The distribution and complexity of habitat patches are crucial in determining space use by zebra. The extent and duration of seasonal flooding is the principal process affecting habitat patch characteristics in the Okavango Delta, particularly the availability of floodplains, which are the habitat at greatest risk from climate change and anthropogenic disturbance to the Okavango's catchment basin. Understanding how the factors that determine habitat complexity may change in the future is critical to the conservation of large mammal populations. Our study shows the importance of maintaining flood levels in the Okavango Delta and how the loss of seasonal floodplains will be compounded by changes in habitat configuration, forcing zebra to change their relative space use and enlarge home ranges, leading to increased competition for key resources and population declines. 相似文献
182.
Maurice S Coroller L Debaets S Vasseur V Le Floch G Barbier G 《Journal of applied microbiology》2011,111(6):1436-1446
Aims: To predict the risk factors for building infestation by Serpula lacrymans, which is one of the most destructive fungi causing timber decay in buildings. Methods and Results: The growth rate was assessed on malt extract agar media at temperatures between 1·5 and 45°C, at water activity (aw) over the range of 0·800–0·993 and at pH ranges from 1·5 to 11·0. The radial growth rate (μ) and the lag phase (λ) were estimated from the radial growth kinetics via the plots radius vs time. These parameters were then modelled as a function of the environmental factors tested. Models derived from the cardinal model (CM) were used to fit the experimental data and allowed an estimation of the optimal and limit values for fungal growth. Optimal growth rate occurred at 20°C, at high aw level (0·993) and at a pH range between 4·0 and 6·0. The strain effect on the temperature parameters was further evaluated using 14 strains of S. lacrymans. The robustness of the temperature model was validated on data sets measured in two different wood‐based media (Quercus robur L. and Picea abies). Conclusions: The two‐step procedure of exponential model with latency followed by the CM with inflection gives reliable predictions for the growth conditions of a filamentous fungus in our study. The procedure was validated for the study of abiotic factors on the growth rate of S. lacrymans. Significance and Impact of the Study: This work describes the usefulness of evaluating the effect of physico‐chemical factors on fungal growth in predictive building mycology. Consequently, the developed mathematical models for predicting fungal growth on a macroscopic scale can be used as a tool for risk assessment of timber decay in buildings. 相似文献
183.
184.
Ute Distler Michael J. Schmeisser Assunta Pelosi Dominik Reim Jörg Kuharev Roland Weiczner Jan Baumgart Tobias M. Boeckers Robert Nitsch Stefan Tenzer 《Proteomics》2014,14(21-22):2607-2613
Located at neuronal terminals, the postsynaptic density (PSD) is a highly complex network of cytoskeletal scaffolding and signaling proteins responsible for the transduction and modulation of glutamatergic signaling between neurons. Using ion‐mobility enhanced data‐independent label‐free LC‐MS/MS, we established a reference proteome of crude synaptosomes, synaptic junctions, and PSD derived from mouse hippocampus including TOP3‐based absolute quantification values for identified proteins. The final dataset across all fractions comprised 49 491 peptides corresponding to 4558 protein groups. Of these, 2102 protein groups were identified in highly purified PSD in at least two biological replicates. Identified proteins play pivotal roles in neurological and synaptic processes providing a rich resource for studies on hippocampal PSD function as well as on the pathogenesis of neuropsychiatric disorders. All MS data have been deposited in the ProteomeXchange with identifier PXD000590 ( http://proteomecentral.proteomexchange.org/dataset/PXD000590 ). 相似文献
185.
Jason Vleminckx David Bauman Marine Demanet Olivier J. Hardy Jean‐Louis Doucet Thomas Drouet 《植被学杂志》2020,31(3):440-453
186.
Céline Arzel Johan Elmberg Matthieu Guillemain Michel Lepley Fabrice Bosca Pierre Legagneux Jean-Baptiste Nogues 《Journal of Ornithology》2009,150(1):61-73
Two frequent assumptions about the evolution of long-distance migration in birds are that they travel long distances annually
to reach food-rich areas for breeding, and that they time their migratory journey to be at staging sites when the latter provide
the best feeding conditions. These assumptions have rarely been properly tested, and there is no study in which a species’
major food types have been measured by standardized methods throughout a flyway and over a large part of the year. We here
present such data for Eurasian teal (Anas crecca), converted to a common energetic currency, and collected at wintering, spring staging and breeding sites. Teal did not time
migration to maximize local food abundance; most birds left wintering and spring staging sites before a sharp increase in
invertebrate food abundance occurred. On the other hand, hatching of ducklings coincided with a peak in invertebrate food
abundance on boreal breeding lakes. Mean overall food abundance (invertebrates and seeds combined) did not differ between
wintering sites in southern France and breeding sites in northern Sweden at the time of breeding. Our results are inconsistent
with the hypothesis that long-distance migration in dabbling ducks has evolved because adult birds gain an immediate pay-off
in increased food abundance by flying north in spring. However, our data confirm a selective advantage for breeding at higher
latitudes, because hatching of ducklings may coincide with a peak in invertebrate emergence and because longer days may increase
the duration of efficient foraging. 相似文献
187.
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189.
Abdulaziz M. Assaeed Saud L. Al-Rowaily Magdy I. El-Bana Abdullah A.A. Abood Basharat A.M. Dar Ahmad K. Hegazy 《Saudi Journal of Biological Sciences》2019,26(6):1187-1193
Off-road vehicle driving is considered as main contributor to land degradation in arid regions. This study examined the impact of off-road vehicles (ORV) on soil and vegetation in a natural recreational desert meadow of Raudhat Khuraim, Saudi Arabia. Vegetation canopy cover and plant height away from road tracks were assessed. Also, species density and canopy cover, bare ground cover and soil attributes were assessed in four microhabitats; tracks, inter-tracks, verges, and away from vehicle tracks (undisturbed natural areas). Results show that the cover of forbs and grasses was negatively associated with distance from road verges. It was observed that the height of woody species responded negatively to distance away from tracks. Cover of native species decreased under verge, inter-track and track microhabitats giving more opportunity for weeds to flourish. Bare ground was highest (60.7%) in tracks. ORV impact on soil bulk density was clear with an increase of 38% under tracks compared to soils of undisturbed natural vegetation and a similar decrease in porosity was observed. On the other hand, soil electrical conductivity was significantly higher (5.45 mS cm?1) under disturbance compared to 1.32 mS cm?1 in undisturbed natural vegetation. Organic matter and nitrogen were not affected significantly by ORV disturbance. The results emphasize that managing off-road vehicle driving is essential for conserving native vegetation. 相似文献
190.
Hui Yang Philippe Ciais Maurizio Santoro Yuanyuan Huang Wei Li Yilong Wang Ana Bastos Daniel Goll Almut Arneth Peter Anthoni Vivek K. Arora Pierre Friedlingstein Vanessa Harverd Emilie Joetzjer Markus Kautz Sebastian Lienert Julia E. M. S. Nabel Michael O'Sullivan Stephen Sitch Nicolas Vuichard Andy Wiltshire Dan Zhu 《Global Change Biology》2020,26(7):3997-4012
Gaps in our current understanding and quantification of biomass carbon stocks, particularly in tropics, lead to large uncertainty in future projections of the terrestrial carbon balance. We use the recently published GlobBiomass data set of forest above‐ground biomass (AGB) density for the year 2010, obtained from multiple remote sensing and in situ observations at 100 m spatial resolution to evaluate AGB estimated by nine dynamic global vegetation models (DGVMs). The global total forest AGB of the nine DGVMs is 365 ± 66 Pg C, the spread corresponding to the standard deviation between models, compared to 275 Pg C with an uncertainty of ~13.5% from GlobBiomass. Model‐data discrepancy in total forest AGB can be attributed to their discrepancies in the AGB density and/or forest area. While DGVMs represent the global spatial gradients of AGB density reasonably well, they only have modest ability to reproduce the regional spatial gradients of AGB density at scales below 1000 km. The 95th percentile of AGB density (AGB95) in tropics can be considered as the potential maximum of AGB density which can be reached for a given annual precipitation. GlobBiomass data show local deficits of AGB density compared to the AGB95, particularly in transitional and/or wet regions in tropics. We hypothesize that local human disturbances cause more AGB density deficits from GlobBiomass than from DGVMs, which rarely represent human disturbances. We then analyse empirical relationships between AGB density deficits and forest cover changes, population density, burned areas and livestock density. Regression analysis indicated that more than 40% of the spatial variance of AGB density deficits in South America and Africa can be explained; in Southeast Asia, these factors explain only ~25%. This result suggests TRENDY v6 DGVMs tend to underestimate biomass loss from diverse and widespread anthropogenic disturbances, and as a result overestimate turnover time in AGB. 相似文献