Response of grassland net primary productivity to dry and wet climatic events in four grassland types in Inner Mongolia

Hossain, Lokman; Kabir, Md. Humayain; Nila, Mst Umme Salma; Rubaiyat, Ashik

doi:10.1002/pei3.10064

Cited by 16 publications

(13 citation statements)

References 74 publications

(142 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Owing to the fragile ecological environment of these temperate grasslands, the study area is very sensitive to climate change ( Bao et al, 2019 ; Bai et al, 2021 ). Temperate desert grassland is mainly concentrated in the west of the study area, with annual mean temperature of 7.2°C and annual precipitation of 45–215 mm ( Hossain et al, 2021 ). Temperate steppe is the most widely distributed and representative of the various grassland types.…”

Section: Methodsmentioning

confidence: 99%

“…Grassland ecosystems play a key role in regulating the carbon cycle and maintaining ecological balance ( Bengtsson et al, 2019 ; Hoover et al, 2022 ; Shen et al, 2022a , b ). Net primary productivity (NPP) is not only a crucial indicator of carbon sequestration ( Zhang et al, 2016 ; Hossain et al, 2021 ), but also a key reference for assessing grassland ecosystem function ( Seeber et al, 2022 ; Wang et al, 2022 ). Previous studies have shown that climate change has significant effects on grassland NPP ( Liu et al, 2021 ; Xiong et al, 2021 ).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Spatiotemporal Change of Net Primary Productivity and Its Response to Climate Change in Temperate Grasslands of China

Xia

Liu

et al. 2022

Front. Plant Sci.

View full text Add to dashboard Cite

The temperate grasslands in China play a vital part in regulating regional carbon cycle and climate change. Net primary productivity (NPP) is a crucial index that reflects ecological function of plants and the carbon sequestration capacity of grassland ecosystem. Climate change can affect NPP by changing vegetation growth, but the effects of climate change on the NPP of China’s temperate grasslands remain unclear. Based on MODIS data and monthly climate data during 2000–2020, this study explored the spatiotemporal changes in grassland NPP and its response to climate change in temperate grasslands of China. We found that the annual NPP over the entire China’s temperate grasslands increased significantly by 4.0 gC/m2/year from 2000 to 2020. The annual NPP showed increasing trends for all the different grassland vegetation types, with the smallest increase for temperate desert steppe (2.2 gC/m2/year) and the largest increase for temperate meadow (5.4 gC/m2/year). The correlation results showed that increased annual precipitation had a positive relationship with the NPP of temperate grasslands. Increased summer and autumn precipitation could increase grassland NPP, particularly for the temperate meadow. With regard to the effects of temperatures, increased temperature, particularly the summer maximum temperature, could decrease annual NPP. However, increased spring minimum temperature could increase the NPP of temperate desert steppe. In addition, this study found, for the first time, an asymmetric relationship between summer nighttime and daytime warming and the NPP of temperate meadow. Specifically, nighttime warming can increase NPP, while daytime warming can reduce NPP in temperate meadow. Our results highlight the importance of including seasonal climate conditions in assessing the vegetation productivity for different grassland types of temperate grasslands and predicting the influences of future climate change on temperate grassland ecosystems.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Change of Net Primary Productivity and Its Response to Climate Change in Temperate Grasslands of China

Xia

Liu

et al. 2022

Front. Plant Sci.

View full text Add to dashboard Cite

show abstract

“…For example, Orimoloye et al [ 35 ] stated that drought can be evaluated by analyzing green vegetation through Normalized Vegetation Water Index (NDWI), Soil Adjusted Total Vegetation Index (SATVI), Land Surface Temperature (LST), Normalized Difference Vegetation Index (NDVI), Normalized Drought Dryness Index (NDDI), Vegetation Condition Index (VCI) and Temperature Vegetation Dryness Index (TVDI). Furthermore, satellite-based remote sensing data provides an advanced way to understand the scenario of natural resource depletion [ 36 ], monitor ecosystem health [ 37 ], and predict the climate-induced changes in soil, water, and biodiversity [ 38 , 39 ].…”

Section: Introductionmentioning

confidence: 99%

Assessment of remote sensing-based indices for drought monitoring in the north-western region of Bangladesh

Das¹,

Shahriar²,

Chowdhury³

et al. 2023

Heliyon

Self Cite

View full text Add to dashboard Cite

“…Meadow vegetation is highly responsive to environmental factors [Rabotnov, 1974]; therefore, it can be used as adequate model objects for analysis of various impacts, which is fully exploited by foreign scientists. In particular, experiments are underway to study the impact of extreme climatic factors on vegetation growth [Zhang L. et al, 2021;Hossain et al, 2021] to maintain stable functioning of plant ecosystems.…”

Section: Introductionmentioning

confidence: 99%

“…In recent years, the studies of meadows have involved the analysis of the impact of climatic and hydrological factors on biodiversity [Zelnik andCarni, 2013, Zhang L. et al, 2021;Hossain et al, 2021] and the net primary productivity of meadows to study the global carbon cycle [Moore et al, 2013;Zhang F. et al, 2017;Zhang B. et al, 2019;Quan et al, 2020].…”

Section: Introductionmentioning

confidence: 99%

Dynamics of the aboveground phytomass of the Ob floodplain meadows in the area of the Tomsk carbon polygon (Kaibasovo)

Shepeleva

Kolesnichenko

Pudova

2022

Environmental Dynamics and Global Climate Change

View full text Add to dashboard Cite

At the Kaibasovo site (Tomsk carbon polygon), during 2017-2021, studies of multi-year changes in the vegetation of the floodplain meadows of the Ob river were carried out on 4 permanent sample plots to determine the effect of weather conditions and floods on the formation of aboveground phytomass. The research area is located within the southern taiga subzone of the forest zone and belongs to the northern part of the Shegarsky section of the floodplain. Permanent sample plots were laid out on relief elements of different flooding conditions - high ridges, their slopes, and depressions. Grass, forb and sedge phytocenoses were studied. In the phase of maximum development of the herbage, geobotanical descriptions and sampling of aboveground phytomass (including litter and rags) were carried out. Descriptions were made on an area of 100 m2, the herbage was mowed from squares of 0.25 m2 four times. Under field conditions, the mowing was sorted by types, dried and weighed. The productivity of the herbage was determined by summing up the masses of particular types. Further, the average indicators of phytocenosis such as the composition of dominant species, the total number of species, the composition and ratio of various fractions (agrobiological and ecological groups) were determined in terms of 1 m2 of aboveground mass. Weather conditions and meadow flooding regime for the growing seasons of 2017-2021 were characterized on the basis of data from the Molchanovo meteorological station and the Nikolskoe gauging station. We took into account the average ten-day and monthly values of temperature and precipitation as well as HTC for the entire growing season. This provided the possibility to select wet and dry, warm and relatively cold seasons as a basis for analyzing the phytomass dynamics. Based on the results of a general evaluation of hydroclimatic conditions, 2017-2018 have been assessed as warm, humid, mid-water, 2019 - extremely dry and hot, when the floodplain was not flooded, 2020 - slightly dry mid-water, 2021 - cold and dry with a relatively high flood. It was found that the dynamics of the meadow vegetation of the Kaibasovskiy section of the Ob floodplain is determined by the influence of the weather conditions of the current and previous years, the nature of the flood, and characterized by changes in the above-ground mass, the ratio of dominant species, the composition of ecological and biological groups of species in the herbage. The change in the state of the cereal community, developed on a high ridge, was due to the dynamics of weather conditions. The range of productivity changes over the years was the smallest. This was due to the good adaptability of the phytocenosis provided by a variety of vegetatively mobile long-rhizome grasses from the ecological groups of xeromesophytes, mesophytes and eumesophytes. The state of the other three communities studied was determined not only by weather conditions, but also by a more important factor such as flooding of meadows during seasonal floods. Their productivity turned out to be generally higher and the range of fluctuations in the amount of aboveground phytomass over the years was wider (on average, twice). The study of the relationship between the productivity of the herbage and the destruction of the aboveground part of the mortmass and hydroclimatic conditions showed that at all altitudinal levels of the floodplain in arid conditions, there is a decrease in the mass of the herbage of meadows and the accumulation of dead plant residues. The aboveground phytomass of the communities of the upper and middle altitude levels increases with the increase in environmental humidity, while the total aboveground mass increases, but the proportion of dead plant matter decreases. The increase of aboveground phytomass of sedge phytocenoses of medium-low and low levels occurs in humid, warm, mid-water years, while an increase in the abundance of moisture-loving grasses and sedges in the herbage is observed. The accumulation of the amount of dead plant matter is also observed in years with prolonged stagnation of water. The decomposition of litter and rags is most active in humid and warm spring.

show abstract

Response of grassland net primary productivity to dry and wet climatic events in four grassland types in Inner Mongolia

Cited by 16 publications

References 74 publications

Spatiotemporal Change of Net Primary Productivity and Its Response to Climate Change in Temperate Grasslands of China

Spatiotemporal Change of Net Primary Productivity and Its Response to Climate Change in Temperate Grasslands of China

Assessment of remote sensing-based indices for drought monitoring in the north-western region of Bangladesh

Dynamics of the aboveground phytomass of the Ob floodplain meadows in the area of the Tomsk carbon polygon (Kaibasovo)

Contact Info

Product

Resources

About