Biota

Author(s):  
Douglas V. Hoyt ◽  
Kenneth H. Shatten

We now consider insect populations, circumpolar mammal populations, seaweed density, agricultural yields, and similar topics. Good reasons exist to link such biological phenomena to solar activity. For one thing, if such meteorological parameters as temperature and precipitation vary with solar activity, life forms sensitive to small changes in these parameters may show dramatic responses. We will examine various claims from the 100 to 200 articles that either provide support for or criticize these types of ideas. The topics generally start at the lower levels of the food chain (i.e., insects) and proceed to the upper levels (i.e., predatory mammals), concluding with agricultural and economic studies. Insect populations are sensitive climate indicators. Paleontologists have used fossilized insects (see, for example, Coope, 1977) to show that very rapid changes in climate can occur in only a few years. Certain species of insects can tolerate only narrow ranges of temperature or precipitation. If meteorological variables alter that range, a new species of insect will replace the old. Insects occupy one of the lower rungs of the food chain, so fluctuations in their numbers may cause corresponding fluctuations in such predators as birds or spiders. Therefore, correlating insect populations with solar activity is a worthwhile venture. In his doctoral treatise, “Über die Beziehungen der Sonnenfleckenperiode zu meteorologischen Erscheinungen” published in 1877, F. G. Hahn argues that locusts will probably appear in temperate regions only during unusually hot and dry years. Hahn shows that European locusts appear preferentially between the years of sunspot minimums up to the next sunspot maximum, an average of about 4 years. For the 7 years from the sunspot maximum to the next sunspot minimum, locusts are scarcer. Since sunspot minimums produced relatively warm temperatures for the years 1800–1862, this suggests that the sun influences European locust populations. E. D. Archibald, who in his later years was a very ardent advocate of sun/climate relationships, extended Hahn’s findings. In a letter to Nature in 1878, Archibald showed that locusts appeared in Europe in 1613, 1690, and 1748–1749. According to Wolf, these dates occur 1 to 3 years after a sunspot minimum, which is consistent with Hahn’s findings.

2002 ◽  
Vol 20 (6) ◽  
pp. 741-755 ◽  
Author(s):  
R. P. Kane

Abstract. The smoothed monthly sunspot numbers showed that in many solar cycles, (a) during years around sunspot maxima, there was only one prominent maximum, but in some cycles there was a broad plateau. If the beginning and end of these are termed as first and second maxima (separated by several months), the first maximum was generally the higher one, and the valley in between was very shallow. Solar indices at or near the photosphere generally showed similar structures with maxima matching with sunspot maxima within a month or two. Indices originating in the chromosphere and above showed two peaks in roughly the same months as sunspots (with some exceptions, notably the Coronal green line, and the Total Solar Irradiance). Yet often, the second maximum was larger than the first maximum, and the valley between the two maxima was deeper, as compared to sunspot maxima, and (b) during years around sunspot minima, the smoothed sunspot minimum could be sharp and distinct, lasting for a month or two, or could spread over several months. Among the indices originating at or near the photosphere, the Ca K line intensity showed good matching with sunspots, but the Ca Plage area, the Sunspot Group Area, and the solar magnetic fields seemed to show minima earlier than the sunspots, indicating that these activities died out first. These also showed recoveries from the minima later than sunspots. Most of the other indices originating in the chromosphere and corona attained minima coincident with sunspot minima, but in some cases, minima earlier than sunspots were seen, while in some other cases minima occurred after the sunspot minima. Thus, the energy dissipation in the upper part of the solar atmosphere sometimes lagged or led the evolution of sunspots near sunspot minimum. In a few cases, after the minimum, the indices recovered faster than the sunspots. In general, the chromospheric indices seemed to evolve similar to sunspots, but the evolution of coronal indices was not always similar to sunspots, and may differ considerably between themselves.Key words. Solar physics, astrophysics and astronomy (Corona and transition region; Magnetic fields; Photosphere and chromosphere)


During the grain growing months of May-July, the mean temperature on the Canadian prairies has cooled down by 2ºC in the last 30 years. The cooling appears to be most certainly linked to diminishing solar activity as the Sun approaches a Grand Solar Minimum in the next decade or so. This cooling has led to a reduction in Growing Degree Days (GDDs) and has also impacted the precipitation pattern. The GDDs in conjunction with mean temperature and precipitation are important parameters for the growth of various grains (wheat, barley, canola etc.) on the prairies. In this study, we investigate the impact of declining GDDs and associated temperature and precipitation patterns on Prairie grain yields and quality. Our analysis shows that there has been a loss of about 100 GDDs over the time frame of 1985-2019. The loss in GDDs is also linked to some of the large-scale Atmosphere-Ocean parameters like the Pacific Decadal Oscillation (PDO), North Pacific Index (NPI) and Arctic Oscillation (AO). Our analysis suggests grain yield and quality could be significantly impacted in the coming years as solar activity continues to diminish.


2017 ◽  
Vol 55 (6) ◽  
pp. 756
Author(s):  
Nguyen The Hung ◽  
Nguyen Huu Quyen

Due to climate change, the agro-climatic indicators in Son La province has changed in the following trends: (i) the total heat in the Winter - Spring crop and the Summer crop as well as the total annual heat have increased; (ii) The amount of time in a year with temperature below 20 degrees has shortened; the amount of time in a year with temperatures above 25 degrees has lengthened; (iii) the absolute minimum temperature tends to increase rapidly; (iv) the rainfall in Winter - Spring crop has increased slightly whereas the season rainfall and total annual rainfall tend to decrease. The climatic factors in Son La province obviously affect rice yield in the Winter - Spring crop, the Summer crop as well as corn and soybeans. However, compared with other crops, soybean yield is less related to climatic factors. There are major differences in climate characteristics between the high and the low crops yield year. However, these differences depend on the type of the crop and the harvest season.


2021 ◽  
Author(s):  
Hisashi Sato ◽  
Takeshi Ise

Abstract. A biome is a major regional ecological community characterized by distinctive life forms and principal plants. Many empirical schemes such as the Holdridge Life Zone (HLZ) system have been proposed and implemented to predict the global distribution of terrestrial biomes. Knowledge of physiological climatic limits has been employed to predict biomes, resulting in more precise simulation, however, this requires different sets of physiological limits for different vegetation classification schemes. Here, we demonstrate an accurate and practical method to construct empirical models for biome mapping: A convolutional neural network (CNN) was trained by an observation-based biome map, as well as images depicting air temperature and precipitation. The trained model accurately simulated a global map of current terrestrial biome distribution. Then, the trained model was applied to climate scenarios toward the end of the 21st century, predicting a significant shift in global biome distribution with rapid warming trends. Our results demonstrate that the proposed CNN approach can provide an efficient and objective method to generate preliminary estimations of the impact of climate change on biome distribution. Moreover, we anticipate that our approach could provide a basis for more general implementations to build empirical models of other climate-driven categorical phenomena.


2002 ◽  
Vol 32 (8) ◽  
pp. 1400-1410 ◽  
Author(s):  
Hans W Linderholm ◽  
Anders Moberg ◽  
Håkan Grudd

Six tree-ring chronologies from Sweden were analyzed to assess if Scots pine (Pinus sylvestris L.) growing on peatlands are useful as annually resolved climate indicators. Also, climate–growth relationships were compared with those of pines growing on nearby dry sites to evaluate if pines from both environments may be combined to yield climate information. While temperatures in spring and summer had positive influences on peatland pine growth, precipitation responses ranged from negative in the north to positive in the south. Climate – growth response patterns differed between peatland and neighboring dry sites, where climatic information in peatland pines was weaker. Added to the direct effect of growth-year climate, is the response of peatland pines to water table variations, a function of climate over several years, likely causing annual growth to reflect a synthesis of climate over a long period. Scots pine climate – growth responses, in both environments, changed throughout the 20th century, corresponding to changes in temperature and precipitation patterns in Sweden. Decreasing growth trends since the late 1970s may be a result of late 20th century change to a warmer and wetter climate, possibly related to a strengthening of the North Atlantic Oscillation (NAO) in recent decades.


2006 ◽  
Vol 12 (1) ◽  
pp. 43-53 ◽  
Author(s):  
Jerzy Boryczka ◽  
Maria Stopa-Boryczka

Abstract The objective of the work is to determine the periodicity and trends of change in air temperature and precipitation in Poland in the time period of the 18th-20th centuries, together with the forecast for the 21st century. There are interesting diagrams of the temporal changes of solar activity and North Atlantic Oscillation (NAO) indicator, with the forecast reaching the year 2100. The forecasts were obtained on the basis of interpretations of the Wolf number and NAO indicator cycles, determined with the method of “regression sinusoids”. The fluctuations of the air temperature and precipitations during winter in Warsaw and in Cracow are closely correlated.


1998 ◽  
Vol 16 (1) ◽  
pp. 49-54 ◽  
Author(s):  
S. Bravo ◽  
J. A. L. Cruz-Abeyro ◽  
D. Rojas

Abstract. We study the annual frequency of occurrence of intense geomagnetic storms (Dst < –100 nT) throughout the solar activity cycle for the last three cycles and find that it shows different structures. In cycles 20 and 22 it peaks during the ascending phase, near sunspot maximum. During cycle 21, however, there is one peak in the ascending phase and a second, higher, peak in the descending phase separated by a minimum of storm occurrence during 1980, the sunspot maximum. We compare the solar cycle distribution of storms with the corresponding evolution of coronal mass ejections and flares. We find that, as the frequency of occurrence of coronal mass ejections seems to follow very closely the evolution of the sunspot number, it does not reproduce the storm profiles. The temporal distribution of flares varies from that of sunspots and is more in agreement with the distribution of intense geomagnetic storms, but flares show a maximum at every sunspot maximum and cannot then explain the small number of intense storms in 1980. In a previous study we demonstrated that, in most cases, the occurrence of intense geomagnetic storms is associated with a flaring event in an active region located near a coronal hole. In this work we study the spatial relationship between active regions and coronal holes for solar cycles 21 and 22 and find that it also shows different temporal evolution in each cycle in accordance with the occurrence of strong geomagnetic storms; although there were many active regions during 1980, most of the time they were far from coronal holes. We analyse in detail the situation for the intense geomagnetic storms in 1980 and show that, in every case, they were associated with a flare in one of the few active regions adjacent to a coronal hole.


Author(s):  
Andrea Paz ◽  
Marcelo Reginato ◽  
Fabián A. Michelangeli ◽  
Renato Goldenberg ◽  
Mayara K. Caddah ◽  
...  

AbstractWe combine remote sensing (RS) measurements of temperature and precipitation with phylogenetic and distribution data from three plant clades with different life forms, i.e., shrubs and treelets (tribe Miconieae, Melastomes), epiphytes (Ronnbergia-Wittmackia alliance, Bromeliaceae), and lianas (“Fridericia and Allies” clade, Bignoniaceae), to predict the distribution of biodiversity in a tropical hot spot: the Brazilian Atlantic Forest. We assess (i) how well RS-derived climate estimates predict the spatial distribution of species richness (SR), phylogenetic diversity (PD), and phylogenetic endemism (PE) and (ii) how they compare to predictions based on interpolated weather station information. We find that environmental descriptors derived from RS sources can predict the distribution of SR and PD, performing as well as or better than weather station-based data. Yet performance is lower for endemism and for clades with a high number of species of small ranges. We argue that this approach can provide an alternative to remotely monitor megadiverse groups or biomes for which species identification through RS are not yet feasible or available.


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