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Human-induced vegetation degradation and response of soil nitrogen storage in typical steppes in Inner Mongolia, China

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Human-induced vegetation degradation and response of soil nitrogen storage in typical steppes in Inner Mongolia, China. / Li, X. B.; Li, R. H.; Li, Guoqing et al.
In: Journal of Arid Environments, Vol. 124, 01.2016, p. 80-90.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

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APA

Li, X. B., Li, R. H., Li, G., Wang, H., Li, Z. F., Li, X. B., & Hou, X. Y. (2016). Human-induced vegetation degradation and response of soil nitrogen storage in typical steppes in Inner Mongolia, China. Journal of Arid Environments, 124, 80-90. https://doi.org/10.1016/j.jaridenv.2015.07.013

Vancouver

Li XB, Li RH, Li G, Wang H, Li ZF, Li XB et al. Human-induced vegetation degradation and response of soil nitrogen storage in typical steppes in Inner Mongolia, China. Journal of Arid Environments. 2016 Jan;124:80-90. Epub 2015 Aug 7. doi: 10.1016/j.jaridenv.2015.07.013

Author

Li, X. B. ; Li, R. H. ; Li, Guoqing et al. / Human-induced vegetation degradation and response of soil nitrogen storage in typical steppes in Inner Mongolia, China. In: Journal of Arid Environments. 2016 ; Vol. 124. pp. 80-90.

Bibtex

@article{17e8df93c86b4e709fab76ec83132986,
title = "Human-induced vegetation degradation and response of soil nitrogen storage in typical steppes in Inner Mongolia, China",
abstract = "The residuals trend (RESTREND) method was used to analyze spatial distribution and gradients of vegetation degradation over three time scales: short-term (2006–2011), medium-term (2001–2011), and long-term (1990–2011) and the responses of soil nitrogen storage at different vegetation degradation gradients were compared. The analyses used the 10-day synthetic normalized difference vegetation index of the advanced very high resolution satellite image (1 km2, 1990–2011) and field surveys of typical steppes of Inner Mongolia, China to compare the responses of soil nitrogen storage at different vegetation degradation gradients. The results showed highly significant regression correlation between the maximum values of the normalized difference vegetation index and the natural logarithm of precipitation on pixel spatial series. Differences in the spatial distribution and gradients of human-induced degradation of vegetation were observed. Soil nitrogen storage decreased as vegetation degradation increased; whereas the impact of vegetation degradation on soil nitrogen decreased as soil depth increased. Thus, the modified RESTREND method can identify vegetation degradation gradients at a regional scale, and the response of soil nitrogen storage can be determined through experimental analysis.",
keywords = "AVHRR, NDVI, RESTREND, Degradation gradient, Nitrogen",
author = "Li, {X. B.} and Li, {R. H.} and Guoqing Li and H. Wang and Li, {Z. F.} and Li, {X. B.} and Hou, {X. Y.}",
year = "2016",
month = jan,
doi = "10.1016/j.jaridenv.2015.07.013",
language = "English",
volume = "124",
pages = "80--90",
journal = "Journal of Arid Environments",
issn = "0140-1963",
publisher = "Academic Press Inc.",

}

RIS

TY - JOUR

T1 - Human-induced vegetation degradation and response of soil nitrogen storage in typical steppes in Inner Mongolia, China

AU - Li, X. B.

AU - Li, R. H.

AU - Li, Guoqing

AU - Wang, H.

AU - Li, Z. F.

AU - Li, X. B.

AU - Hou, X. Y.

PY - 2016/1

Y1 - 2016/1

N2 - The residuals trend (RESTREND) method was used to analyze spatial distribution and gradients of vegetation degradation over three time scales: short-term (2006–2011), medium-term (2001–2011), and long-term (1990–2011) and the responses of soil nitrogen storage at different vegetation degradation gradients were compared. The analyses used the 10-day synthetic normalized difference vegetation index of the advanced very high resolution satellite image (1 km2, 1990–2011) and field surveys of typical steppes of Inner Mongolia, China to compare the responses of soil nitrogen storage at different vegetation degradation gradients. The results showed highly significant regression correlation between the maximum values of the normalized difference vegetation index and the natural logarithm of precipitation on pixel spatial series. Differences in the spatial distribution and gradients of human-induced degradation of vegetation were observed. Soil nitrogen storage decreased as vegetation degradation increased; whereas the impact of vegetation degradation on soil nitrogen decreased as soil depth increased. Thus, the modified RESTREND method can identify vegetation degradation gradients at a regional scale, and the response of soil nitrogen storage can be determined through experimental analysis.

AB - The residuals trend (RESTREND) method was used to analyze spatial distribution and gradients of vegetation degradation over three time scales: short-term (2006–2011), medium-term (2001–2011), and long-term (1990–2011) and the responses of soil nitrogen storage at different vegetation degradation gradients were compared. The analyses used the 10-day synthetic normalized difference vegetation index of the advanced very high resolution satellite image (1 km2, 1990–2011) and field surveys of typical steppes of Inner Mongolia, China to compare the responses of soil nitrogen storage at different vegetation degradation gradients. The results showed highly significant regression correlation between the maximum values of the normalized difference vegetation index and the natural logarithm of precipitation on pixel spatial series. Differences in the spatial distribution and gradients of human-induced degradation of vegetation were observed. Soil nitrogen storage decreased as vegetation degradation increased; whereas the impact of vegetation degradation on soil nitrogen decreased as soil depth increased. Thus, the modified RESTREND method can identify vegetation degradation gradients at a regional scale, and the response of soil nitrogen storage can be determined through experimental analysis.

KW - AVHRR

KW - NDVI

KW - RESTREND

KW - Degradation gradient

KW - Nitrogen

U2 - 10.1016/j.jaridenv.2015.07.013

DO - 10.1016/j.jaridenv.2015.07.013

M3 - Journal article

VL - 124

SP - 80

EP - 90

JO - Journal of Arid Environments

JF - Journal of Arid Environments

SN - 0140-1963

ER -