Phenological changes of desert steppe vegetation and its effect on net primary productivity in Inner Mongolia from 2000 to 2017

Assessing the inter-annual variation of regional grassland productivity is imperative to meet the local requirements of grassland adaptive management at regional- or landscape- scale. For the semiarid grassland of Inner Mongolia, the improved CASA model, a kind of light-energy-efficiency model, was used to simulate the Net Primary Productivity (NPP) of the regional grassland. And this study further calculated the Standard Deviation (SD) and Coefficient of Variation (CV) of the regional NPP. Both of SD and CV were used to reflect the fluctuations of regional NPP in the study area among years. Approximately 1/3 of the regional NPP over the years were dramatically changed, frequently up to large amplitude by an average rate of 1 times or more.

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Monitoring Phenology in the Temperate Grasslands of China from 1982 to 2015 and Its Relation to Net Primary Productivity

Sustainability ◽

10.3390/su12010012 ◽

2019 ◽

Vol 12 (1) ◽

pp. 12

Author(s):

Chaobin Zhang ◽

Ying Zhang ◽

Zhaoqi Wang ◽

Jianlong Li ◽

Inakwu Odeh

Keyword(s):

Primary Productivity ◽

Vegetation Index ◽

Normalized Difference Vegetation Index ◽

Net Primary Productivity ◽

Meteorological Data ◽

Temperate Grasslands ◽

The North ◽

Phenological Changes ◽

Grass Growth ◽

Global Inventory

Both vegetation phenology and net primary productivity (NPP) are crucial topics under the background of global change, but the relationships between them are far from clear. In this study, we quantified the spatial-temporal vegetation start (SOS), end (EOS), and length (LOS) of the growing season and NPP for the temperate grasslands of China based on a 34-year time-series (1982–2015) normalized difference vegetation index (NDVI) derived from global inventory modeling and mapping studies (GIMMS) and meteorological data. Then, we demonstrated the relationships between NPP and phenology dynamics. The results showed that more than half of the grasslands experienced significant changes in their phenology and NPP. The rates of their changes exhibited spatial heterogeneity, but their phenological changes could be roughly divided into three different clustered trend regions, while NPP presented a polarized pattern that increased in the south and decreased in the north. Different trend zones’ analyses revealed that phenology trends accelerated after 1997, which was a turning point. Prolonged LOS did not necessarily increase the current year’s NPP. SOS correlated with the NPP most closely during the same year compared to EOS and LOS. Delayed SOS contributed to increasing the summer NPP, and vice versa. Thus, SOS could be a predictor for current year grass growth. In view of this result, we suggest that future studies should further explore the mechanisms of SOS and plant growth.

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Spatial-temporal distribution of net primary productivity and its relationship with climate factors in Inner Mongolia from 2001 to 2010

Acta Ecologica Sinica ◽

10.5846/stxb201205030638 ◽

2013 ◽

Vol 33 (12) ◽

pp. 3752-3764 ◽

Cited By ~ 6

Author(s):

穆少杰 MU Shaojie ◽

李建龙 LI Jianlong ◽

周伟 ZHOU Wei ◽

杨红飞 YANG Hongfei ◽

章超斌 ZHANG Chaobin ◽

...

Keyword(s):

Primary Productivity ◽

Inner Mongolia ◽

Net Primary Productivity ◽

Temporal Distribution ◽

Climate Factors

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Effects of precipitation timing on aboveground net primary productivity in inner mongolia temperate steppe

Acta Ecologica Sinica ◽

10.5846/stxb201205030636 ◽

2013 ◽

Vol 33 (15) ◽

pp. 4808-4817 ◽

Cited By ~ 2

Author(s):

郭群 GUO Qun ◽

胡中民 HU Zhongmin ◽

李轩然 LI Xuanran ◽

李胜功 LI Shenggong

Keyword(s):

Primary Productivity ◽

Inner Mongolia ◽

Net Primary Productivity ◽

Temperate Steppe ◽

Aboveground Net Primary Productivity ◽

Precipitation Timing

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Evaluation on vegetation net primary productivity using MODIS data in Inner Mongolia

10.1117/12.836645 ◽

2009 ◽

Cited By ~ 2

Author(s):

Yuhai Bao ◽

Gang Bao ◽

Libiao Guo ◽

Quansheng Hai

Keyword(s):

Primary Productivity ◽

Inner Mongolia ◽

Net Primary Productivity ◽

Modis Data

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Influence of meadow changes on net primary productivity: a case study in a typical steppe area of XilinGol of Inner Mongolia in China

Geosciences Journal ◽

10.1007/s12303-014-0057-z ◽

2015 ◽

Vol 19 (3) ◽

pp. 561-573 ◽

Cited By ~ 7

Author(s):

Xiaobing Li ◽

Guoqing Li ◽

Hong Wang ◽

Han Wang ◽

Jingjing Yu

Keyword(s):

Primary Productivity ◽

Inner Mongolia ◽

Net Primary Productivity ◽

Typical Steppe

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Response of net primary productivity to grassland phenological changes in Xinjiang, China

PeerJ ◽

10.7717/peerj.10650 ◽

2021 ◽

Vol 9 ◽

pp. e10650

Author(s):

Renping Zhang ◽

Jing Guo ◽

Gang Yin

Keyword(s):

Primary Productivity ◽

Net Primary Productivity ◽

Growing Season ◽

Casa Model ◽

Phenological Changes ◽

Moderate Resolution ◽

Resolution Imaging ◽

Moderate Resolution Imaging Spectroradiometer ◽

Phenological Metrics ◽

The Impact

Determining the relationship between net primary productivity (NPP) and grassland phenology is important for an in-depth understanding of the impact of climate change on ecosystems. In this study, the NPP of grassland in Xinjiang, China, was simulated using the Carnegie-Ames-Stanford approach (CASA) model with Moderate Resolution Imaging Spectroradiometer (MODIS) grassland phenological (MCD12Q2) data to study trends in phenological metrics, grassland NPP, and the relations between these factors from 2001–2014. The results revealed advancement of the start of the growing season (SOS) for grassland in most regions (55.2%) in Xinjiang. The percentage of grassland area in which the end of the growing season (EOS) was delayed (50.9%) was generally the same as that in which the EOS was advanced (49.1%). The percentage of grassland area with an increase in the length of the growing season (LOS) for the grassland area (54.6%) was greater than that with a decrease in the LOS (45.4%). The percentage of grassland area with an increase in NPP (61.6%) was greater than that with a decrease in NPP (38.4%). Warmer regions featured an earlier SOS and a later EOS and thus a longer LOS. Regions with higher precipitation exhibited a later SOS and an earlier EOS and thus a shorter LOS. In most regions, the SOS was earlier, and spring NPP was higher. A linear statistical analysis showed that at various humidity (K) levels, grassland NPP in all regions initially increased but then decreased with increasing LOS. At higher levels of K, when NPP gradually increased, the LOS gradually decreased.

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