Analysis of spatial and temporal patterns of net primary production and their climate controls in China from 1982 to 2010

Liang, Wenju; Yang, Yuting; Fan, Dongmei; Guan, Huade; Tian, Zhaobing; Long, Di; Zhou, Yi; Dan, Bai

doi:10.1016/j.agrformet.2015.01.015

Cited by 190 publications

(138 citation statements)

References 57 publications

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“…In order to understand the driving forces that underlie vegetation dynamics, we analyzed the correlations between NDVI, temperature, and precipitation. The results showed that the cumulative precipitation in the growing season had a dominant effect on the vegetation dynamics compared with temperature for all six vegetation types, which agreed well with recent studies [37]. In addition, nonlinear responses of vegetation to climate factors were also detected in the relationships between NDVI, temperature, and precipitation (Figure 7).…”

Section: Correlation Between Vegetation Dynamics and Climate Factorssupporting

confidence: 80%

Changes in Growing Season Vegetation and Their Associated Driving Forces in China during 2001–2012

Liu

Zhu

et al. 2015

Remote Sensing

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Abstract:In recent decades, the monitoring of vegetation dynamics has become crucial because of its important role in terrestrial ecosystems. In this study, a satellite-derived normalized difference vegetation index (NDVI) was combined with climate factors to explore the spatiotemporal patterns of vegetation change during the growing season, as well as their driving forces in China from 2001 to 2012. Our results showed that the growing season NDVI increased continuously during 2001-2012, with a linear trend of 1.4%/10 years (p < 0.01). The NDVI in north China mainly exhibited an increasing spatial trend, but this trend was generally decreasing in south China. The vegetation dynamics were mainly at a moderate intensity level in both the increasing and decreasing areas. The significantly increasing trend in the NDVI for arid and semi-arid areas of northwest China was attributed mainly to an increasing trend in the NDVI during the spring, whereas that for the north and northeast of China was due to an increasing trend in the NDVI during the summer and autumn. Different vegetation types exhibited great variation in their trends, where the grassforb community had the highest linear trend of 2%/10 years (p < 0.05), followed by meadow, and needle-leaf forest with the lowest increasing trend, i.e., a linear trend of 0.3%/10 years. OPEN ACCESSRemote Sens. 2015, 7 15518Our results also suggested that the cumulative precipitation during the growing season had a dominant effect on the vegetation dynamics compared with temperature for all six vegetation types. In addition, the response of different vegetation types to climate variability exhibited considerable differences. In terms of anthropological activity, our statistical analyses showed that there was a strong correlation between the cumulative afforestation area and NDVI during the study period, especially in a pilot region for ecological restoration, thereby suggesting the important role of ecological restoration programs in ecological recovery throughout China in the last decade.

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Section: Correlation Between Vegetation Dynamics and Climate Factorssupporting

confidence: 80%

Changes in Growing Season Vegetation and Their Associated Driving Forces in China during 2001–2012

Liu

Zhu

et al. 2015

Remote Sensing

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“….389 gMJ -1 (Potter et al, 1993) (Zhou et al, 2001;Piao, 2003;Peng et al, 2011;Piao et al, 2011;Wang et al, 2011), 中国植被的NPP在这段时期也经历了同样的增长过程 (Liang et al, 2015;Piao et al, 2005)。Liang等 (2015) …”

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Temporal and spatial variation characteristics of China shrubland net primary production and its response to climate change from 2001 to 2013

Ya-lin¹,

Gong²,

Feng-min³

et al. 2017

Chinese Journal of Plant Ecology

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“…Therefore, prediction of NPP in natural areas, and the understanding of the effect of climate change on global ecosystems, products and the sustainability of services are fundamental issues that many researchers have addressed (Fang et al, 2003;Ei-Masri et al, 2013;Hemming et al, 2013;Piao et al, 2005;Zhao et al, 2010). Liang et al (2015) investigated the spatial and temporal patterns of annual, seasonal and monthly changes of the NPP index. They also studied the climatic factors controlling it at the national biome level from 1982 to 2010 in China.…”

Section: Introductionmentioning

confidence: 99%

Desertification of forest, range and desert in Tehran province, affected by climate change

et al. 2016

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Abstract. Climate change has been identified as a leading human and environmental crisis of the twenty-first century. Drylands throughout the world have always undergone periods of degradation due to naturally occurring fluctuation in climate. Persistence of widespread degradation in arid and semiarid regions of Iran necessitates monitoring and evaluation. This paper aims to monitor the desertification trend in three types of land use, including range, forest and desert, affected by climate change in Tehran province for the 2000s and 2030s. For assessing climate change at Mehrabad synoptic station, the data of two emission scenarios, including A2 and B2, were used, utilizing statistical downscaling techniques and data generated by the Statistical DownScaling Model (SDSM). The index of net primary production (NPP) resulting from Moderate Resolution Imaging Spectroradiometer (MODIS) satellite images was employed as an indicator of destruction from 2001 to 2010. The results showed that temperature is the most significant driving force which alters the net primary production in rangeland, forest and desert land use in Tehran province. On the basis of monitoring findings under real conditions, in the 2000s, over 60 % of rangelands and 80 % of the forest were below the average production in the province. On the other hand, the longterm average changes of NPP in the rangeland and forests indicated the presence of relatively large areas of these land uses with a production rate lower than the desert. The results also showed that, assuming the existence of circumstances of each emission scenarios, the desertification status will not improve significantly in the rangelands and forests of Tehran province.

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Analysis of spatial and temporal patterns of net primary production and their climate controls in China from 1982 to 2010

Cited by 190 publications

References 57 publications

Changes in Growing Season Vegetation and Their Associated Driving Forces in China during 2001–2012

Changes in Growing Season Vegetation and Their Associated Driving Forces in China during 2001–2012

Temporal and spatial variation characteristics of China shrubland net primary production and its response to climate change from 2001 to 2013

Desertification of forest, range and desert in Tehran province, affected by climate change

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