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91.
Frank Asche Roy Endré Dahl Marie Steen 《Aquaculture Economics & Management (Blackwell Science)》2015,19(3):316-335
Price volatility has an important impact on seafood markets and the aquaculture industry. This article investigates price volatility regimes along three dimensions; technology, species and product form. We identify regimes using the Iterated Cumulative Sum of Squares (ICSS), which allow us to compare the volatility found in aquaculture products, as well as comparing against fish-meal and soybeans. The results help identify the level of price risk found within the aquaculture industry across species and products. In addition, we differentiate between technologies comparing wild-caught fish with aquaculture products. The results also help us consider the relative riskiness of aquaculture compared to other industries. The results indicate that in aggregate, price volatility for aquacultured products is substantially lower than for wild. However, this varies substantially between species. 相似文献
92.
Dag-Ragnar Blystad René van der Vlugt Ana Alfaro-Fernández María del Carmen Córdoba Gábor Bese Dimitrinka Hristova Henryk Pospieszny Nataša Mehle Maja Ravnikar Laura Tomassoli Christina Varveri Steen Lykke Nielsen 《European journal of plant pathology / European Foundation for Plant Pathology》2015,143(1):43-56
93.
Jean-Pierre Renaud Cédric Vega Sylvie Durrieu Jonathan Lisein Steen Magnussen Philippe Lejeune Mériem Fournier 《Annals of Forest Science》2017,74(4):74
Key message
Diachronic photogrammetric canopy height models can be used to quantify at a fine scale changes in dominant height and wood volume following storms. The regular renewal of aerial surveys makes this approach appealing for monitoring forest changes.Context
The increasing availability of aerial photographs and the development of dense matching algorithms open up new possibilities to assess the effects of storm events on forest canopies.Aims
The objective of this research is to assess the potential of diachronic canopy height models derived from photogrammetric point clouds (PCHM) to quantify changes in dominant height and wood volume of a broadleaved forest following a major storm.Methods
PCHMs derived from aerial photographs acquired before and after a storm event were calibrated using 25 field plots to estimate dominant height and volume using various modeling approaches. The calibrated models were combined with a reference damage maps to estimate both the within-stand damage variability, and the amount of volume impacted.Results
Dominant height was predicted with a root mean squared error (RMSE) of 4%, and volume with RMSEs ranging from 24 to 32% according to the type of model. The volume impacted by storm was in the range of 42–76%. Overall, the maps of dominant height changes provided more details about within-stand damage variability than conventional photointerpretation do.Conclusion
The study suggests a promising potential for exploiting PCHM in pursuit of a rapid localization and quantification of wind-throw damages, given an adapted sampling design to calibrate models.94.
Forest harvesting practices have been assumed to be the main reason for the decrease in Goshawk Accipiter gentilis populations in Fennoscandia during the late 1900s, by reducing prey density, especially grouse and Red Squirrel (Sciurus vulgaris), and preferred hunting habitats (mature forest). In Norway, the highest breeding densities are now found in areas with a high proportion of farmland and urban areas where corvids and pigeons are important prey. To assess the importance of mature forest for Goshawk populations in southeastern Norway, we compared breeding densities from 20 municipalities with different percentages of farmland and mature forest. In multiple regression models, regional breeding densities were positively related to both the percentage of mature forest, and the percentage of farmland and urban areas. We conclude that the recommendation of establishing buffer zones around nest sites will not be sufficient to maintain Goshawk populations if the proportion of mature forest is reduced at a landscape level. 相似文献
95.
The status of marine biodiversity in the Eastern Central Atlantic (West and Central Africa) 下载免费PDF全文
Beth A. Polidoro Gina M. Ralph Kyle Strongin Michael Harvey Kent E. Carpenter Rachel Arnold Jack R. Buchanan Khairdine Mohamed Abdallahi Camara Bruce B. Collette Mia T. Comeros‐Raynal Godefroy De Bruyne Ofer Gon Antony S. Harold Heather Harwell Percival A. Hulley Tomio Iwamoto Steen W. Knudsen Jean de Dieu Lewembe Christi Linardich Kenyon C. Lindeman Vanda Monteiro Thomas Munroe Francis K.E. Nunoo Caroline M. Pollock Stuart Poss Barry Russell Catherine Sayer Aboubacar Sidibe William Smith‐Vaniz Emilie Stump Mor Sylla Luis Tito De Morais Jean‐Christophe Vié Akanbi Williams 《水产资源保护:海洋与淡水生态系统》2017,27(5):1021-1034
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96.
ABSTRACT In design-based model assisted inference from data gathered in a large area forest inventory under a probability sampling design, one should anticipate spatial heterogeneity in the regression coefficients of an assisting model. The consequence of such heterogeneity is that a global estimate of a root mean squared error (RMSE) becomes unsuited for local predictions. With data from the Danish National Forest Inventory, we demonstrate how to: obtain an assisting model with the lasso method; test for spatial stationarity in regression coefficients of the assisting model; and identify spatial model strata for a post-stratification with either a finite mixture modeling or a lasso spatial clustered coefficients method. Spatial model strata apply to any domain and small area estimation problem without the need for complex modeling when domains or small area changes with shifting user needs. One should not à priori expect a spatial model stratification to improve design-based population and strata estimates of precision, but the reliability of domain and small area RMSEs will improve in presence of statistically significant spatial model strata. 相似文献
97.
Transgenic sugar beet tolerant to glyphosate 总被引:4,自引:0,他引:4
Phenology (i.e. the influence of environment on ontogeny) is the most important single factor influencing crop adaptation. The timing of flowering is particularly important since it largely determines when annual cereal, pulse and oilseed crops will subsequently be ripe for harvest. Two environmental factors are of overriding importance in the induction of flowering – photoperiod (daylength) and temperature. In seeking to predict times from sowing to flowering, f, it has proved profitable to analyse photothermal responses in terms of the rate of progress from sowing to flowering, 1/f. This paper summarises the advantages of a model based on rates rather than the traditional approach based on f. Over a wide range of photothermal regimes, the model involves just six coefficients, all of which (and their derivatives) have clearly defined biological meaning. Of paramount importance too is that the coefficients are not affected by the environment; they are genetic characters which determine phenotypic responses to the environment in a quantitative and predictable way. 相似文献
98.
B. P. Kinghorn J. W. M. Bastiaansen D. C. Ciobanu H. A. M. van der Steen 《Acta Agriculturae Scandinavica, Section A - Animal Sciences》2013,63(1):3-12
Abstract Genotyping required to track family membership in aquaculture breeding programs is reduced dramatically by estimating the contributions of different families to pooled samples of tissue. This approach is relevant to widely differing scenarios involving animals, plants, and microbes. For the family membership scenario, SNP markers are genotyped for the contributing families' parents, and quantitatively genotyped to estimate allele frequencies within the mixed-family pooled tissue. Results are used to infer proportional contributions of the different families to the pool. Different computational strategies were tested for bias and sampling error. A correlation of 99% between estimated and true genetic contributions was achieved using 20 (50) randomly chosen SNPs at a standard error of allele frequency estimates of 0.01 (0.02). Optimal grouping of families and choice of markers further increases performance markedly. Trait means and distributions of families can be quite accurately estimated by tissue sampling across the range of trait values. 相似文献
99.
100.
To evaluate the effect of the indoxacarb 300 g kg(-1) WG, Steward 30WDG, on the honey bee (Apis mellifera L.) in apple orchards, a monitoring study was conducted in Dutch apple orchards in April/May 2004. Before apple flowering began, two honey bee colonies were placed in each orchard to investigate honey bee mortality. Each hive was provided with a Münster dead bee trap to collect dead honey bees. The numbers of dead bees found in these Münster dead traps were counted every 3-4 days for about 2 weeks before and after the period of the insecticide treatment. In nine flowering orchards no indoxacarb was applied during the flowering period, which served as control sites. In 30 flowering orchards indoxacarb was sprayed by the fruit growers according to local practice at 170-260 g formulated product ha(-1) (51-78 g AI ha(-1)). In the control orchards the average mortality was 8 honey bees colony(-1) day(-1). The average daily honey bee mortality before and after indoxacarb application was 8 and 10 honey bees colony(-1) day(-1) respectively. At one test site, indoxacarb was mixed with other plant protection products plus plant nutrients, and in this orchard a slight but biologically non-significant increase in acute honey bee mortality was recorded. It was concluded that the application of indoxacarb caused no effects on honey bee mortality, and that the number of dead honey bees counted in the Münster traps in the orchard treated with indoxacarb was comparable with those determined in control orchards. 相似文献