994 resultados para Season Length


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Climate change in the Arctic is predicted to increase plant productivity through decomposition-related enhanced nutrient availability. However, the extent of the increase will depend on whether the increased nutrient availability can be sustained. To address this uncertainty, I assessed the response of plant tissue nutrients, litter decomposition rates, and soil nutrient availability to experimental climate warming manipulations, extended growing season and soil warming, over a 7 year period. Overall, the most consistent effect was the year-to-year variability in measured parameters, probably a result of large differences in weather and time of snowmelt. The results of this study emphasize that although plants of arctic environments are specifically adapted to low nutrient availability, they also posses a suite of traits that help to reduce nutrient losses such as slow growth, low tissue concentrations, and low tissue turnover that result in subtle responses to environmental changes.

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Aim To measure latitude-related body size variation in field-collected Paropsis atomaria Olivier (Coleoptera: Chrysomelidae) individuals and to conduct common-garden experiments to determine whether such variation is due to phenotypic plasticity or local adaptation. Location Four collection sites from the east coast of Australia were selected for our present field collections: Canberra (latitude 35°19' S), Bangalow (latitude 28°43' S), Beerburrum (latitude 26°58' S) and Lowmead (latitude 24°29' S). Museum specimens collected over the past 100 years and covering the same geographical area as the present field collections came from one state, one national and one private collection. Methods Body size (pronotum width) was measured for 118 field-collected beetles and 302 specimens from collections. We then reared larvae from the latitudinal extremes (Canberra and Lowmead) to determine whether the size cline was the result of phenotypic plasticity or evolved differences (= local adaptation) between sites. Results Beetles decreased in size with increasing latitude, representing a converse Bergmann cline. A decrease in developmental temperature produced larger adults for both Lowmead (low latitude) and Canberra (high latitude) individuals, and those from Lowmead were larger than those from Canberra when reared under identical conditions. Main conclusions The converse Bergmann cline in P. atomaria is likely to be the result of local adaptation to season length.

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The aim of this paper is to explain under which circumstances using TACs as instrument to manage a fishery along with fishing periods may be interesting from a regulatory point of view. In order to do this, the deterministic analysis of Homans and Wilen (1997)and Anderson (2000) is extended to a stochastic scenario where the resource cannot be measured accurately. The resulting endogenous stochastic model is numerically solved for finding the optimal control rules in the Iberian sardine stock. Three relevant conclusions can be highligted from simulations. First, the higher the uncertainty about the state of the stock is, the lower the probability of closing the fishery is. Second, the use of TACs as management instrument in fisheries already regulated with fishing periods leads to: i) An increase of the optimal season length and harvests, especially for medium and high number of licences, ii) An improvement of the biological and economic variables when the size of the fleet is large; and iii) Eliminate the extinction risk for the resource. And third, the regulator would rather select the number of licences and do not restrict the season length.

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The anchoveta Engraulis ringens is widely distributed along the eastern South Pacific (from 4° to 42°S; Serra et al., 1979) and it has also supported one of the largest fisheries of the world over the last four decades. However, there are few interpopulation comparisons for either the adult or the younger stages. Reproductive traits, such as fecundity or spawning season length, are known to vary with latitude for some fish species (Blaxter and Hunter, 1982; Conover, 1990; Fleming and Gross, 1990; Castro and Cowen, 1991), and latitudinal trends for some early life history traits, such as egg size and larval growth rates, have been reported for others clupeiforms and other fishes (Blaxter and Hempel, 1963; Ciechomski, 1973; Imai and Tanaka, 1987, Conover 1990, Houde 1989). However, there is no published information on potential latitudinal trends during the adult or the early life history of the anchoveta, even though this type of information may help in understanding recruitment variability, especially during recurring large scale events (such as El Niño or La Niña) that affect the entire species range.

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植物物候反映的是植物(包括农作物)和环境(气候、水文、土壤条件)的周期性变化之间的相互关系。在气候变化背景下,植物物候已经发生了显著变化,并且对生态系统产生了重要影响。然而,目前的物候研究大多是针对木本植物,对于草本植物的研究则相对缺乏,而且草本植物的物候节律表现出较木本植物更为复杂的特征,不但受温度影响,亦受到水分因素的影响。 本研究利用内蒙古典型草原区克氏针茅草原建群种羊草和克氏针茅自1985~2003年19年的物候资料和气象数据,分析了物候特征及气候因子的变化趋势,探究了两种植物返青期和枯黄期的主导因子。结果表明,克氏针茅草原近20年来的气候发生了显著的变化,总体表现为温度升高、降水量降少、土壤水分含量减少。与以往物候研究结果不同的是,羊草和克氏针茅返青期在气候变暖的背景下却显著滞后。相关分析显示返青前期土壤水分是导致返青滞后的主要原因。对于枯黄期的相关分析同样显示水分因子是制约两种植物生长季结束的关键因子。在检验现有返青期和枯黄期物候模型对于典型草原适用性的基础上,本研究选择应用广泛、计算简便的CTM(Cumulative Temperature Model)模型作为改进返青期物候模型的基础,在其中加入了水分的影响,使得改进返青期物候模型可以很好的模拟典型草原植物返青期,模拟误差小于7天。同时,构建了考虑水分和温度共同影响的枯黄期模型。改进后的物候模型提高了DCTEM(Dynamic Chinese Terrestrial Ecosystems Model)模型的模拟精度。 基于耦合改进物候模块的DCTEM模型对影响生态系统NPP(Net Primary Productivity)、NEP(Net Ecosystem Productivity)和AET(Annual Evapotranspiration)的因子加以分析。结果显示,降水量是影响克氏针茅草原生态系统功能的主要因子,其对于NPP、NEP、AET以及土壤异养呼吸等均有不同程度的影响。其次,生长季长度变化对于克氏针茅生态系统功能呈现出显著的影响作用,其影响程度仅次于降水量。 为了量化在实际的气象条件下单位生长季长度变化所引起生态系统NPP、NEP和AET的变化幅度,设置了三个引起生长季长度变化的物候模拟情景(动态枯黄情景、动态返青情景、动态起止情景)以及对照情景。研究结果显示,不同情景下植物生长季长度变化对于生态系统功能有着不同程度的影响。动态枯黄情景下由于草原枯黄期使整个生长季每延长一天NEP增加3.11%,NPP为0.34%,对于AET的影响最小为0.06%;动态返青情景下,由于草原返青期波动使得整个生长季延长一天则NEP增加1.54%,NPP为0.15%,对于AET的影响最小为0.01%;在动态起止情景下,生长季延长一天则NEP增加3.37%,NPP为0.39%,对于AET的影响最小为0.06%。总体而言,由于枯黄期引起的生长季变化对生态系统功能影响程度比由于返青期引起的程度高。此外,不同的生态系统功能要素对于物候变化的影响程度也有所不同。在几种模拟情景下,NEP受到生长季变化的影响最大,其次为NPP,AET受物候变化影响最小。

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本文以青藏高原东部的高山草甸为研究对象,设置早融、中间及晚融三个融雪部位,采用实验室测量、野外测量、野外样方调查相结合的 方法,从个体、种群和群落的水平上比较研究了高山雪场植物在同一雪场样地中不同融雪梯度上的特征变异及适应,结果表明: 从早融到晚融的梯度上,随着融雪时间的逐渐推迟,表土日温差降低,冻融交替的强度减弱,土壤水份逐渐增加,总N、总P、总K 以及 可溶性的N、P 和pH 变化不明显,土壤有机质及可溶性的K 和Ca 逐渐降低。冻融交替强度上的差异以及土壤水分差异被认为是融雪梯度上 影响植物生长的主要原因。 从早融到晚融的梯度上,伴随着生态因子的改变,几种常见植物的个体特征也发生相应的变化。首先,物候期推迟。植物开始生长的时间 一般要推迟将近二十天,但同一种植物在不同的融雪部位上的衰老期趋于一致,这预示着在晚融部位同一植物的生长期要缩短。其次,个体生 长特性发生改变。黑褐穗苔草(Carex atrofusca subsp. minor (Boott) T.Koyama)和西北黄芪(Astragalus fenzelianus Pet.-Stib.)的个体生长(株高、单株叶数、单叶面积和地上生物量)表现为逐渐增加的趋势;斑唇马先蒿(Pedicularis longiflora Rudolph var. tubiformis (Klotz.) Tsoong)和川西小黄菊(Pyrethrum tatsienense (Bur. et Franch.) Ling ex Shih.)则表现为逐渐降低的趋势;长叶火绒草(Leontopodium longifolium Ling)在融雪梯度上的变化趋势不明显。再次,从繁殖特性来看,大卫马先蒿(Pedicularis davidii var. pentodon Tsoong)的单株花数、单花种子数、种子千粒重及种子萌发率随融雪的推迟呈现为逐渐增加的趋势;圆穗蓼(Polygonum macrophyllum D.Don)的种子(小坚果)千粒重和萌发率也表现为逐渐增加,其余繁殖特征变化不明显。 在种群层次上,几个常见物种的分布格局随着融雪的推迟都发生一定的变化,基本上表现为从早融的集群分布到中间或晚融部位的随机分布。物种间的联结性也发生较大的变化,由早融部位的总体上的正关联逐步过度到晚融部位上的总体上的负关联。特定种对间的联结性也发生较大的变化。恶劣环境条件(如剧烈的冻融交替)的影响以及对恶劣条件适应被认为是分布格局及种间联结性发生变化的主要原因。 在群落层次上,物种多样性的变化表现为单峰曲线的格局,即在中间部位多样性最高。早融部位强烈的冻融交替和晚融部位缩短的生长季是早融及晚融部位物种多样性不高的重要原因。几乎所有的只出现在一个融雪部位(雪深级别)上的物种都发生在中间融雪部位。这说明,中等的雪深更有利于许多高山植物的存活,而过浅过深的积雪都不利于植物的生存。另外,相距较近的融雪梯度之间的物种相似性较大,而相距较远的梯度之间物种的替代率较高,物种的相似性较小。在群落的生物量方面,地上生物量随融雪的推迟而升高,地下生物量随融雪的推迟而下降,地上与地下生物量之总和随着融雪的推迟而下降,地下生物量与地上生物量之比随着融雪的推迟而下降。早融部位的地上生物量主要集中于地上0-10cm 的范围内,表明在早融部位植物地上部分有变矮的趋势;早融部位的地下生物量在土壤各深度分布相对较均一,而晚融部位地下生物量则主要集中于地下0-10cm 的范围内。生物量的变化趋势主要与雪场中各部位的土壤水分含量及地表日温度差异有关,是植物适应特定环境的结果。 To detect the plants’ responses to snow-cover gradients in an alpine meadow of eastern Tibetan plateau, laboratory method and field sample plot method were employed, and three gradeients (early-, medium and late-melting)were established in a natural snowbed. The measurements were carried out for two years and was done on three levels——individual, population and community. The results are shown as follows : From early- to late-melting gradients, daily ground temperature difference between day and night decreased, amplitude of freeze-thaw alternation weakened, soil organic matter contents and soluble K and Ca decreased, while soil water content increased. Total N, total P, total K,pH soluble N and soluble P kept constant from early- to late-melting portions. Among these factors, the changes of intense freeze-thaw alternation and soil water contents were considered as main factors affecting plants’ growth. From early- to late-melting portions, all phenological phases postponed, e.g. phase of plant emergence postponed almost twenty days. However, the same species’ individuals at different portions withered in step, which implied that the individuals at late-melting portion possessed shorter growing season length. Along the same gradient, both Carex atrofusca subsp. minor (Boott) T. Koyama and Astragalus fenzelianus Pet.-Stib. increased their individual growth, whereas Pedicularis longiflora Rudolph var. tubiformis (Klotz.) Tsoong and Pyrethrum tatsienense (Bur. et Franch.) Ling ex Shih. decreased their individual growth. Unlike the four plants mentioned above, Leontopodium longifolium L. did not show any evident change. As to reproductive charateristics, the flowers per individual, the number of seeds per flower, the thousand seed weight and the seed germination rate of Pedicularis davidii var. pentodon showed an increasing trend; and Polygonum macrophyllum D.Don also increased its thousand seed weight and seed germination rate along the same gradient. However, the other reproductive charateristics of Polygonum macrophyllum D.Don did not change significantly. At population level, the distribution pattern of several selected species changed from cluster pattern to random pattern as the snowmelt postponed. Overall association among the species changed from positive to negative along the same gradient. Further, interspecific association also changed evidently. Adverse circumstances such as intense freeze-thaw alternation were considered as primary factors resulting in changes of population distribution pattern and interspecific association. At the level of community, species diversity showed a pattern of a unimodal trend, i.e. the highest diversity occurred at medium snow depth,perhaps because of intense freeze-thaw alternation at early-melting portions and the shortest growing season at late-melting portions. Almost all species that only appeared at one snowmelt portion occurred at medium portion, indicating that medium snow depth was more suitable for many species’ survival. Species replacement from one snowmelt portion to its neighboring portion seldom took place. However, while distance between two portions became farther, species replacement between the two portions occurred more frequently. As for biomass, aboveground biomass increased from early- to late-melting portions, whereas belowground biomass, total biomass and the ratio of belowground to aboveground all decreased along the same snow gradient. A majority of aboveground biomass distributed in a height range of 0-10 cm, suggesting that height of plants inhabiting early-melting portion be shorter compared with other portions. In addition, belowground biomass at early-melting portion was evenly distributed at different soil depth in comparison with aboveground biomass, whereas belowground biomass at late-melting portion concentrated 0-10cm soil layer below ground. The changing trend of biomass was also related to two factors. One was soil water content, and the other topsoil temperature difference between day and night.

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A marked increase in global temperature over the last century was confirmed by the second Assessment Report of the Intergovernmental Panel on Climate Change. Here we report significant positive and negative linear trends from 1948 to 1995 in phytoplankton measured by the Continuous Plankton Recorder survey in the northeast Atlantic and North Sea that might reflect a response to changing climate on a timescale of decades. Spreading of unusually cold waters from the Arctic might have contributed to the decline in phytoplankton north of 59o N. Further south, phytoplankton season length and abundance seem to have increased.

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Peatlands are a major terrestrial carbon store and a persistent natural carbon sink during the Holocene, but there is considerable uncertainty over the fate of peatland carbon in a changing climate. It is generally assumed that higher temperatures will increase peat decay, causing a positive feedback to climate warming and contributing to the global positive carbon cycle feedback. Here we use a new extensive database of peat profiles across northern high latitudes to examine spatial and temporal patterns of carbon accumulation over the past millennium. Opposite to expectations, our results indicate a small negative carbon cycle feedback from past changes in the long-term accumulation rates of northern peatlands. Total carbon accumulated over the last 1000 yr is linearly related to contemporary growing season length and photosynthetically active radiation, suggesting that variability in net primary productivity is more important than decomposition in determining long-term carbon accumulation. Furthermore, northern peatland carbon sequestration rate declined over the climate transition from the Medieval Climate Anomaly (MCA) to the Little Ice Age (LIA), probably because of lower LIA temperatures combined with increased cloudiness suppressing net primary productivity. Other factors including changing moisture status, peatland distribution, fire, nitrogen deposition, permafrost thaw and methane emissions will also influence future peatland carbon cycle feedbacks, but our data suggest that the carbon sequestration rate could increase over many areas of northern peatlands in a warmer future.

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Climate controls upland habitats, soils and their associated ecosystem services; therefore, understanding possible changes in upland climatic conditions can provide a rapid assessment of climatic vulnerability over the next century. We used 3 different climatic indices that were optimised to fit the upland area classified by the EU as a Severely Disadvantaged Area (SDA) 1961–1990. Upland areas within the SDA covered all altitudinal ranges, whereas the maximum altitude of lowland areas outside of the SDA was ca. 300 m. In general, the climatic index based on the ratio between annual accumulated temperature (as a measure of growing season length) and annual precipitation predicted 96% of the SDA mapped area, which was slightly better than those indices based on annual or seasonal water deficit. Overall, all climatic indices showed that upland environments were exposed to some degree of change by 2071–2100 under UKCIP02 climate projections for high and low emissions scenarios. The projected area declined by 13 to 51% across 3 indices for the low emissions scenario and by 24 to 84% for the high emissions scenario. Mean altitude of the upland area increased by +11 to +86 m for the low scenario and +21 to +178 m for the high scenario. Low altitude areas in eastern and southern Great Britain were most vulnerable to change. These projected climatic changes are likely to affect upland habitat composition, long-term soil carbon storage and wider ecosystem service provision, although it is not yet possible to determine the rate at which this might occur.

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We examined complex geographical patterns in the morphology of a kleptoparasitic spider, Argyrodes kumadai, across its distributional range in Japan. To disentangle biotic and abiotic factors underlying morphological variation, latitudinal trends were investigated in two traits, body size and relative leg length, across separate transition zones for host use and voltinism. Statistical analyses revealed complex sawtooth clines. Adult body size dramatically changed at the transition zones for host use and voltinism, and exhibited a latitudinal decline following the converse to Bergmann’s cline under the same host use and voltinism in both sexes. A similar pattern was observed for relative leg length in females but not in males. A genetic basis for a part of observed differences in morphology was supported by a common-garden experiment. Our data suggest that local adaptation to factors other than season length such as resource availability (here associated with host use) obscures underlying responses to latitude.

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Peatlands are a major terrestrial carbon store and a persistent natural carbon sink during the Holocene, but there is considerable uncertainty over the fate of peatland carbon in a changing climate. It is generally assumed that higher temperatures will increase peat decay, causing a positive feedback to climate warming and contributing to the global positive carbon cycle feedback. Here we use a new extensive database of peat profiles across northern high latitudes to examine spatial and temporal patterns of carbon accumulation over the past millennium. Opposite to expectations, our results indicate a small negative carbon cycle feedback from past changes in the long-term accumulation rates of northern peatlands. Total carbon accumulated over the last 1000 yr is linearly related to contemporary growing season length and photosynthetically active radiation, suggesting that variability in net primary productivity is more important than decomposition in determining long-term carbon accumulation. Furthermore, northern peatland carbon sequestration rate declined over the climate transition from the Medieval Climate Anomaly (MCA) to the Little Ice Age (LIA), probably because of lower LIA temperatures combined with increased cloudiness suppressing net primary productivity. Other factors including changing moisture status, peatland distribution, fire, nitrogen deposition, permafrost thaw and methane emissions will also influence future peatland carbon cycle feedbacks, but our data suggest that the carbon sequestration rate could increase over many areas of northern peatlands in a warmer future.

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A process-based fire regime model (SPITFIRE) has been developed, coupled with ecosystem dynamics in the LPJ Dynamic Global Vegetation Model, and used to explore fire regimes and the current impact of fire on the terrestrial carbon cycle and associated emissions of trace atmospheric constituents. The model estimates an average release of 2.24 Pg C yr−1 as CO2 from biomass burning during the 1980s and 1990s. Comparison with observed active fire counts shows that the model reproduces where fire occurs and can mimic broad geographic patterns in the peak fire season, although the predicted peak is 1–2 months late in some regions. Modelled fire season length is generally overestimated by about one month, but shows a realistic pattern of differences among biomes. Comparisons with remotely sensed burnt-area products indicate that the model reproduces broad geographic patterns of annual fractional burnt area over most regions, including the boreal forest, although interannual variability in the boreal zone is underestimated.