生态系统间气候条件的时空变化

IF 1.2 4区 地球科学 Q4 ENVIRONMENTAL SCIENCES Climate Research Pub Date : 2021-06-17 DOI:10.3354/CR01641
I. Herfindal, S. Aanes, R. Benestad, A. Finstad, A. Salthaug, N. Stenseth, B. Sæther
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引用次数: 6

摘要

环境在时间和空间上的变化影响生物过程,如灭绝风险和适应环境变化的速度。环境变化的空间结构可能因生态系统而异,例如由于营养物质、基因和个体流动的差异。然而,对生态系统空间尺度的推断还应包括环境随机性中的空间自相关,如天气或气候的波动。利用4个不同生态系统(陆地、湖泊、沿海和远洋)19 ~ 36年的温度空间结构时间序列,分析了大地理尺度(1900公里)夏季和冬季环境变化的时空格局。平均温度的空间正相关距离以陆地系统最大(592 ~ 622 km),其次为公海(472 ~ 414 km)、近海(155 ~ 814 km)和湖盆系统(51 ~ 324 km),表明陆地系统环境变化具有较强的空间结构。地面系统温度空间同动性强,冬季平均相关系数为0.82,夏季平均相关系数为0.66,空间尺度较大(>650 km)。因此,与水生系统中的物种(<500公里)相比,陆生物种种群即使在距离达1000公里的地方也会经历类似的环境波动。在陆地系统和湖泊系统中,环境同步性存在明显的季节差异,而在其他系统中差异较小。我们的研究结果表明,受环境随机性影响的生物过程在陆地系统中发生在最大的空间尺度上,但其大小取决于该过程是受冬季还是夏季条件的影响。
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Spatiotemporal variation in climatic conditions across ecosystems
Environmental variation in time and space affects biological processes such as extinction risk and speed of adaptation to environmental change. The spatial structure of environmental variation may vary among ecosystems, for instance due to differences in the flow of nutrients, genes and individuals. However, inferences about ecosystem spatial scale should also include spatial autocorrelation in environmental stochasticity, such as fluctuations in weather or climate. We used spatially structured time series (19-36 yr) on temperature from 4 different ecosystems (terrestrial, limnic, coastal sea and open ocean) to assess the spatiotemporal patterns of environmental variation over large geographical scales (up to 1900 km) during summer and winter. The distance of positive spatial autocorrelation in mean temperature was greatest for the terrestrial system (range: 592-622 km), and shorter for the open ocean (range: 472-414 km), coastal sea (range: 155-814 km) and the limnic systems (range: 51-324 km), suggesting a stronger spatial structure in environmental variation in the terrestrial system. The terrestrial system had high spatial synchrony in temperature (mean correlation: winter = 0.82, summer = 0.66) with a great spatial scaling (>650 km). Consequently, populations of terrestrial species experience similar environmental fluctuations even at distances up to 1000 km, compared to species in the aquatic systems (<500 km). There were clear seasonal differences in environmental synchrony in the terrestrial and limnic systems, but less so in the other systems. Our results suggest that biological processes affected by environmental stochasticity occur at the largest spatial scale in terrestrial systems, but their magnitude depends on whether the process is affected by winter or summer conditions.
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来源期刊
Climate Research
Climate Research 地学-环境科学
CiteScore
2.90
自引率
9.10%
发文量
25
审稿时长
3 months
期刊介绍: Basic and applied research devoted to all aspects of climate – past, present and future. Investigation of the reciprocal influences between climate and organisms (including climate effects on individuals, populations, ecological communities and entire ecosystems), as well as between climate and human societies. CR invites high-quality Research Articles, Reviews, Notes and Comments/Reply Comments (see Clim Res 20:187), CR SPECIALS and Opinion Pieces. For details see the Guidelines for Authors. Papers may be concerned with: -Interactions of climate with organisms, populations, ecosystems, and human societies -Short- and long-term changes in climatic elements, such as humidity and precipitation, temperature, wind velocity and storms, radiation, carbon dioxide, trace gases, ozone, UV radiation -Human reactions to climate change; health, morbidity and mortality; clothing and climate; indoor climate management -Climate effects on biotic diversity. Paleoecology, species abundance and extinction, natural resources and water levels -Historical case studies, including paleoecology and paleoclimatology -Analysis of extreme climatic events, their physicochemical properties and their time–space dynamics. Climatic hazards -Land-surface climatology. Soil degradation, deforestation, desertification -Assessment and implementation of adaptations and response options -Applications of climate models and modelled future climate scenarios. Methodology in model development and application
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