Spatial and temporal variation in weather events critical for boreal agriculture: II Precipitation

Peltonen‐Sainio, Pirjo; Pirinen, Pentti; Mäkelä, Hanna; Ojanen, Hannu; Venäläinen, Ari

doi:10.23986/afsci.51466

Cited by 18 publications

(11 citation statements)

References 27 publications

(30 reference statements)

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“…On the other hand, the wetter GS primarily alters crop growth, yield and quality, and also many agricultural activities like tillage, sowing, crop protection and harvesting (Peltonen‐Sainio et al . , , ). However, due to climate change, more common warmer and wetter conditions in the future call for developing macro‐strategies to adjust cropping structures, adopt proper technologies and improve adaptive infrastructure (IPCC ).…”

Section: Resultsmentioning

confidence: 99%

The role of atmospheric circulation patterns in agroclimate variability in finland, 1961–2011

Irannezhad

Chen

Kløve

2016

Geografiska Annaler: Series A, Physical Geography

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This study evaluates interannual variations and trends in growing season daily temperature sum and daily precipitation sum in Finland during 1961-2011, and their connections to well known atmospheric circulation patterns. Changes in summer (June-August) climate partially explain changes in growing season daily temperature sum and daily precipitation sum over Finland, which naturally decreased from south to north. On a national scale, growing season warmed and became wetter during 1961-2011, as growing season daily temperature sum and daily precipitation sum significantly (p < 0.05) increased by 5.01 ± 3.17°C year -1 and 1.39 ± 0.91 mm year -1 , respectively. The East Atlantic pattern was the most influential atmospheric circulation pattern for variations in growing season daily temperature sum (rho = 0.40) across Finland and the East Atlantic/West Russia pattern was most influential for growing season daily precipitation sum variability (rho = -0.54). There were significant (p < 0.05) increasing trends in growing season daily temperature sum and daily precipitation sum throughout Finland during 1961-2011. Increased growing season daily temperature sum was mainly observed in northern, central, western, eastern and coastal areas of south-western Finland. This warming was positively associated with the East Atlantic pattern in the north, centre and south, but negatively associated with the East Atlantic/West Russia pattern in eastern Finland. Increased GSP mostly occurred in southern, eastern, western, central, northern and north-western Finland. These wetting trends were positively correlated with the East Atlantic pattern in the north and negatively correlated with the Polar pattern in the south and the East Atlantic/West Russia pattern in the east, west, centre and north-east of Finland. The overall agroclimatic year-to-year variability in Finland between 1961 and 2011 was mostly linked to variations in the East Atlantic and East Atlantic/West Russia patterns.

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Section: Resultsmentioning

confidence: 99%

The role of atmospheric circulation patterns in agroclimate variability in finland, 1961–2011

Irannezhad

Chen

Kløve

2016

Geografiska Annaler: Series A, Physical Geography

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“…This may facilitate complementarity between oat and pea as companions in intercrops. For example, risk of drought episodes -often with coinciding elevated temperatures -is particularly high in early summer, after which it diminishes (Peltonen-Sainio et al 2016a, Peltonen-Sainio et al 2016b, Peltonen-Sainio et al 2016c: in years when drought occurs, oat yields are at higher risk than for pea, as elevated temperatures interfere with yield formation of oat, but favors that in pea ). As we found substantial variation in accumulation of precipitation and temperature across years and locations, it is apparent that the recorded variation in onset and duration of critical phenophases exposed companion crops to harmful and/or advantageous weather events differently.…”

Section: Discussionmentioning

confidence: 99%

Characterizing an outperforming pea cultivar for intercropping with oat at high latitudes

Peltonen‐Sainio¹,

Kontturi²,

Laine³

et al. 2017

AFSci

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The cereal often dominates the grain legume in intercrops, especially when sown in larger amounts. This study assessed yield formation of pea (Pisum sativum L.) and oat (Avena sativa L.) in an intercropping system in high-latitude conditions. Three pea cultivars (Hulda, Karita and Perttu) and one oat cultivar (Roope) were grown as sole crops and intercrops with shares of either 7.5% or 15% of oat (as weight of sown seed mixture). Experiments were organized in three (southern, western and northern) locations of Finland for three years. Yield and vegetative above-ground biomass, their land equivalent ratio (LER, i.e., the yield in intercrop compared to that of the component yields in pure stands), and a number of yield components were measured prior to harvest at crop-stand and single-plant levels. The share of oat in the intercrop did not have any impact on variation in LER yield . Oat yield and yield components generally benefitted from a pea companion crop. The pea cultivar Perttu was superior in intercrops: it had a LER yield >1 in seven out of eight experiments (mean LER yield =1.06), while Karita had a LER yield >1 in four (mean LERyield =1.00) and Hulda only in one experiment (mean LER yield =0.98). Perttu proved to be a compatible pea companion for a pea-oat intercrop, likely because it was successful in overcompensating for decline in relative yield (RGY) of oat in intercrops, contrary to Hulda. However, none of the measured yield components of Perttu were associated with LER yield , suggesting compensation ability between them, while in Karita and Hulda, e.g., higher grain yield and number of grains and pods per square meter were associated with decline in LER yield . It was concluded that the success of Perttu as a companion for oat in intercrops is likely attributable to its flexibility in building yield through a variable combination of yield components rather than being outperformed due to some superior traits. Such flexibility, likely attributable to long duration of flowering supports resilience to weather variability that is typical for northern European conditions allowing Perttu to consistently sustain a LER yield >1.

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“…The gap in provincial forest outputs within the TNSFP region has expanded in relation to the changes of natural environmental, socioeconomic, and human factors. As shown in Table 1, we constructed a comprehensive index of influencing factors extracted from our review of the literature [42,43]. This index included two natural environmental factors, namely the average temperature for the period April-October (tem) and the total annual rainfall (rai).…”

Section: Influencing Factor Analysis Of Fpementioning

confidence: 99%

Factors Contributing to Efficient Forest Production in the Region of the Three-North Shelter Forest Program, China

et al. 2019

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Forests are the most important renewable resources and provide critical ecosystem services worldwide, especially the provisioning service, making a great contribution to human well-being. The Three-North Shelter Forest Program (TNSFP) is a large-scale ecological project aimed at improving ecological environments and consolidating economic construction in China through the development of artificial forests. In our study, stochastic frontier analysis was adopted to estimate forest production efficiency (FPE) by using dynamic panel data. Based on the FPE of 13 provinces located within the TNSFP region during the period 2000–2016, the effects of the natural and socioeconomic influencing factors on FPE were further explored by using the Tobit regression model. The estimated results confirmed the validity of the constructed model and revealed an increasing trend of the mean annual FPE value, which ranged from 0.3147 in 2000 to 0.5681 in 2016. The FPE was declining from the eastern region to the western region in 2000. However, this spatial distribution characteristic changed enormously in 2016; regions with low FPE were in the center of the TNSFP region, surrounded by the regions with high FPE. Moreover, the following factors positively influenced FPE: average temperature (1.4476), total annual rainfall (0.0800), per capita GDP (0.0882), the education levels of forestry employees (0.2120), the number of forest technology stations in townships (0.0149), and disease and pest control areas (0.0190). However, the impacts of the policy relating to the Natural Forest Protection Program on FPE were insignificant. These influencing factors had differential effects on FPE within the TNSFP’s three sub-regions during the period 2000–2016. These findings can contribute to more efficient forest management and strengthen resource and environment management.

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Spatial and temporal variation in weather events critical for boreal agriculture: II Precipitation

Cited by 18 publications

References 27 publications

The role of atmospheric circulation patterns in agroclimate variability in finland, 1961–2011

The role of atmospheric circulation patterns in agroclimate variability in finland, 1961–2011

Characterizing an outperforming pea cultivar for intercropping with oat at high latitudes

Factors Contributing to Efficient Forest Production in the Region of the Three-North Shelter Forest Program, China

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