Impact of Climate Change on Growing Season and Dormant Period Characteristics for the Balkan Region

Vujadinović, M.; Vuković, Ana; Djurdjević, Vladimir; Ranković‐Vasić, Zorica; Atanackovic, Z.; Sivčev, Branislava; Marković, N.; Petrović, Nevena

doi:10.17660/actahortic.2012.931.9

Cited by 7 publications

(4 citation statements)

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“…The temperature records of the 20th and 21st centuries show that global temperatures have clearly increased since the 1970s, especially in the middle and high latitudes areas of the Northern Hemisphere 26 . The increase of temperature has led to the advanced spring phenology, postponed autumn phenology, and extension of the growing season in this region 27 – 29 . Northeast China, and more generally, the northern part of China, is extremely sensitive to the global climate change 4 , 30 .…”

Section: Introductionmentioning

confidence: 99%

Monitoring the long term vegetation phenology change in Northeast China from 1982 to 2015

Liu

et al. 2017

Sci Rep

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Global warming has contributed to the extension of the growing season in North Hemisphere. In this paper, we investigated the spatial characteristics of the date of the start of the season (SOS), the date of the end of the season (EOS) and the length of the season (LOS) and their change trends from 1982 to 2015 in Northeast China. Our results showed that there was a significant advance of SOS and a significant delay of EOS, especially in the north part of Northeast China. For the average change slope of EOS in the study area, the delay trend was 0.25 d/y, which was more obvious than the advance trend of −0.13 d/y from the SOS. In particular, the LOS of deciduous needleleaf forest (DNF) and grassland increased with a trend of 0.63 d/y and 0.66 d/y from 1982 to 2015, indicating the growth season increased 21.42 and 22.44 days in a 34-year period, respectively. However, few negative signals were detected nearby Hulun Lake, suggesting that the continuous climate warming in the future may bring no longer growing periods for the grass in the semiarid areas as the drought caused by climate warming may limit the vegetation growth.

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Section: Introductionmentioning

confidence: 99%

Monitoring the long term vegetation phenology change in Northeast China from 1982 to 2015

Liu

et al. 2017

Sci Rep

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“…However, the amount of protein crops is limited by the agronomically suitable agricultural land. In some cases, the cultivation of selected crops could be shifted to higher altitudes [33].…”

Section: Introductionmentioning

confidence: 99%

The Shadow Values of Soil Hydrological Properties in the Production Potential of Climatic Regionalization of the Czech Republic

et al. 2022

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The Czech Republic uses a dual system of agricultural land prices, namely the formal/official price—for tax purposes—and the market price in the case of a standard sale or purchase of farmland. This paper focuses on the construction of an econometric model to quantify the influence of soil hydrological characteristics on the production potential in a given climatic region. It also focuses on the use of this model for the determination of the official price of agricultural land, which is expressed on the basis of the code of the evaluated soil-ecological unit (ESEU) and based on defined soil characteristics. The pricing itself is based on the production potential of the land, which in practice is very important for spatial planning, as it determines the classes of agricultural land protection with regard to the possibility of setting aside agricultural land for non-productive purposes or for drawing subsidies for less favourable areas. In this context, the non-productive functions of agricultural land are also frequently discussed, especially its retention, which plays a very important role in the currently changing climatic conditions. There are a number of studies on soil retention, and numerous approaches to measuring it, but none of them address its impact on production potential and thus on the price of land. For this reason, this paper focuses on defining the influence of the retention of the main soil units (defined for the conditions of the Czech Republic) on production potential. For this definition, SUR models are used, where the endogenous variable is expressed as production potential and the exogenous variables include the basic soil characteristics such as grain size, porosity, hydrological component of the soil, and retention. The obtained outputs show both the high explanatory power of the model and the adequate parametric significance of most variables, which provides sufficient support for the use of the results in practice. In addition, the estimated models across all climatic regions are consistent with substantively logical assumptions about the link between production potential and soil hydrological properties, which secondarily demonstrates their applicability in practice, especially for state administration, but also for local government in the sense of municipalities, cities, and other organizational units.

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“…Vegetation phenology is a sensitive indicator of climate change [1][2][3][4][5]. The advance or delay of the growing season reflects the long-term biological impacts of climate on the terrestrial ecosystem and, as a result, influences the productivity of the ecosystem [6].…”

Section: Introductionmentioning

confidence: 99%

Forest Phenology Shifts in Response to Climate Change over China–Mongolia–Russia International Economic Corridor

Yan

Zhang

2020

Forests

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Vegetation phenology is a sensitive indicator of climate change. With the intensification of global warming, the changes in growing seasons of various vegetation types have been widely documented across the world. However, as one of the most vulnerable regions in response to the global climate change, the phenological responses and associated mechanisms in mid–high latitude forests are still not fully understood. In this study, long-term changes in forest phenology and the associated relationship with the temperature and snow water equivalent in the China–Mongolia–Russia International Economic Corridor were examined by analyzing the satellite-measured normalized difference vegetation index and the meteorological observation data during 1982 to 2015. The average start date of the growing season (SOS) of the forest ecosystem in our study area advanced at a rate of 2.5 days/decade, while the end date of the growing season (EOS) was delayed at a rate of 2.3 days/decade, contributing to a growing season that was approximately 15 days longer in the 2010s compared to that in 1980s. A higher April temperature is beneficial to the advance in the SOS, and a higher summer temperature has the potential to extend the EOS in the forest ecosystem. However, our results also suggest that a single temperature cannot fully explain the advance of the SOS, as well as the delay in the EOS. The preseason Snow Water Equivalent (SWE) is also an essential factor in influencing the growing season. A higher SWE in February and March and lower SWE in April tend to advance the SOS, while higher SWE in pre-year December and lower SWE in current year October are beneficial to the extension of the EOS.

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Impact of Climate Change on Growing Season and Dormant Period Characteristics for the Balkan Region

Cited by 7 publications

References 0 publications

Monitoring the long term vegetation phenology change in Northeast China from 1982 to 2015

Monitoring the long term vegetation phenology change in Northeast China from 1982 to 2015

The Shadow Values of Soil Hydrological Properties in the Production Potential of Climatic Regionalization of the Czech Republic

Forest Phenology Shifts in Response to Climate Change over China–Mongolia–Russia International Economic Corridor

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