Desertification in the Mu Us Sandy Land in China: Response to climate change and human activity from 2000 to 2020

Song, Jinling; Xiao, Zhiqiang; Wang, Jing; Hu, Fangze

doi:10.1016/j.geosus.2022.06.001

Cited by 29 publications

(16 citation statements)

References 23 publications

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“…Özellikle rekreasyon faaliyetlerinin gerçekleştirildiği piknik alanlarında çölleşme riski ve buna bağlı olarak çevresel hassasiyet değerleri yüksek çıkmıştır. Bu durum çölleşme sürecinde insan faaliyetlerinin çölleşme riskini ve çevresel bozulmaları arttırdığını doğrular niteliktedir (Xu et al 2011;Li et al 2016;Wang et al 2022). Kent ormanında çölleşme riski ile birlikte alanın çölleşmeye karşı hassasiyetinin belirlenmesi için Çevresel Duyarlı Alan (ÇDA) tipi de tespit edilmiştir.…”

Section: çöLleşme Modeline İlişkin Bulgularunclassified

Evaluation of desertification tendency based on soil characteristics in Çankırı urban forest

TETİK AKBAŞ,

GÜL,

DÖLARSLAN

2024

Anadolu Orman Araştırmaları Dergisi

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Dünya da ve ülkemizde ciddi sorun haline gelen kuraklık, bitki örtüsünün zayıflaması, arazi bozulumu ve iklim değişikliği gibi çevresel problemler çölleşmenin süreçlerinin tespit edilmesi ve çölleşme ile mücadelenin önemini arttırmıştır. Bu çalışmada Çankırı kent merkezine yaklaşık 8 km mesafede bulunan Çankırı Kent Ormanı’nda insan kaynaklı faaliyetlerle birlikte (piknik, yürüyüş vb. rekreasyonel faaliyetlerin) toprak ve vejetasyon özelliklerine bağlı olarak çölleşme riskinin belirlenmesi amaçlanmıştır. Yaklaşık 22 ha büyüklüğüne sahip olan çalışma alanında rastgele 30 noktadan toprak örneği alınmış ve aynı örnekleme noktasında DIS4ME (Desertification Indicator System for Mediterranean Europe- Akdeniz Avrupası için Çölleşme İndikatör Sistemi) sistemindeki ilgili arazi kullanımına uygun çölleşme etüt formları doldurulmuştur. Yapılan risk hesaplamalar sonucunda, alanda çölleşme riski en düşük 2,26 (düşük risk) en yüksek 5,14 (orta risk) arasında değişen değerler almıştır. Özellikle insan faaliyetlerinin arttığı piknik alanlarında bitki örtüsünün zarar görmesi bununla birlikte toprak özelliklerinde meydana gelen bozulmalar alanın çölleşme hassasiyetini artırmıştır. Bu durum özellikle yarı kurak iklim tipinin etkilerinin fazlaca hissedildiği araştırma alanında çölleşmeye karşı gerekli tedbirlerin alınması gerektiğinin önemini göstermektedir.

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Section: çöLleşme Modeline İlişkin Bulgularunclassified

Evaluation of desertification tendency based on soil characteristics in Çankırı urban forest

TETİK AKBAŞ,

GÜL,

DÖLARSLAN

2024

Anadolu Orman Araştırmaları Dergisi

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“…Three-quarters of the global expansion of arid and semi-arid areas will take place in developing countries, which will be at risk of further land degradation and increased poverty in these areas [40]. Studies have shown that desertification in the east and west of arid Asia [41,42], El-Dakhla oasis in Egypt [43], Horqin Sandy Land and Hulun Buir Sandy Land in China were mainly affected by climate change [44]. Desertification was mainly affected by human factors in the semi-arid highland of central Mexico [45], Heihe River Basin of China and Gangcha County of Qinghai Province [46].…”

Section: Effects Of Climate Change On Desertificationmentioning

confidence: 99%

Spatio-Temporal Patterns and Driving Forces of Desertification in Otindag Sandy Land, Inner Mongolia, China, in Recent 30 Years

Yang

Shi

et al. 2023

Remote Sensing

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Desertification is one of the main obstacles to global sustainable development. Monitoring, evaluating and mastering its driving factors are very important for the prevention and control of desertification. As one of the largest deserts in China, the development of desertification in Otindag Sandy Land (OSL) resulted in the reduction in land productivity and serious ecological/environmental consequences. Although many ecological restoration projects have been carried out, the vegetation restoration of OSL and the impact mechanism of climate and human activities on desertification remain unclear. Methods: Taking OSL as the research area, this paper constructs the desertification index by using the remote sensing images and meteorological and socio-economic data, between 1986 and 2016, and analyzes the spatio-temporal evolution process and driving factors of desertification by using trend analysis and spearman rank correlation. Results: The results showed that: (1) Desertification in the OSL has fluctuated greatly during the past 30 years. Desertification recovered between 1986 and 1990, expanded and increased between 1990 and 2000, reduced between 2000 and 2004, developed rapidly between 2004 and 2007, and recovered again between 2007 and 2016; (2) The desertification of OSL is dominated by a non-significant change trend, accounting for 73.27%. In the significant change trend, the area of desertification rising trend is 20.32%, which is mainly located in the north and east, and the area of declining trend is 6.41%, which is mainly located in the southwest; (3) Desertification is the result of the superposition of climate and human activities. Climate change is the main influencing factor, followed by human activities, and the superposition effects of the two are spatio-temporal differences. Conclusions: These results shed light on the development of desertification in OSL and the relative importance and complex interrelationship between human activities and climate in regulating the process of desertification. Based on this, we suggest continuing to implement the ecological restoration policy and avoid the destruction of vegetation by large-scale animal husbandry in order to improve the situation of desertification.

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“…The index is considered a suitable criterion for identifying land degradation and specifications in arid and semiarid regions. These methods can also be used to study these processes [14,29]. Additionally, we reconstructed FVC data using VH (blended vegetation health product, hereafter VH NDVI), GIMMS3g, SPOT, and MODIS NDVI annual cumulative sum data to verify the classification results of the sandy areas using CD FVC data recognition.…”

Section: Datamentioning

confidence: 99%

“…When examining existing research reports, it is evident that many studies have primarily focused on dynamic changes in sandy land on a small scale [12][13][14][15]. However, with the advancement of rapid processing technology for remote sensing big data (such as GEE), research on the dynamic monitoring of sandy lands on a larger regional scale is increasing [16,17].…”

Section: Introductionmentioning

confidence: 99%

Long-Term Dynamics of Sandy Vegetation and Land in North China

Wang

2023

Remote Sensing

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Owing to the lack of long-term, continuous, large-scale, and high-resolution monitoring data and methods, we still cannot accurately understand the detailed processes of sand change in northern China. To some extent, this hinders the scientific implementation of sand prevention and control actions. To gain a more accurate and detailed understanding of the process of sandy land change, we conducted an investigation using a reconstructed, long-term, continuous, 250 m-high spatial resolution normalized difference vegetation index (NDVI) and fractional vegetation cover (FVC) data from 1982 to 2018 to examine vegetation changes in sandy land in northern China. This study revealed that vegetation activity (NDVI slope = 0.011/a, R2 = 0.148) and vegetation coverage (FVC slope = 0.011/a, R2 = 0.080) in the northern sandy land (NSL) have slowed the desertification trend. The NSL desertification and reverse areas show decreasing and increasing trends, respectively, indicating an improvement in the degree of desertification from 1982 to 2018. Furthermore, we employed a newly proposed sandy classification method to investigate the area changes in mobile, semi-mobile, semi-fixed, and fixed sandy lands. Over the past 37 years, the total NSL area has shown a significantly weak decreasing trend (slope = −0.0009 million km2/year, r = −0.374, p = 0.023), with relatively small changes in the total area. However, the distribution area of large mobile sandy lands has significantly decreased, whereas the area of fixed sandy lands has significantly increased. Additionally, a survey of changes in the location of sandy lands revealed that 71.86% of the distribution of sandy land remained relatively fixed between 1982 and 2018, with only 28.14% of the distribution remaining in an unstable state. Stable mobile and fixed sandy lands accounted for 85.40% and 82.41% of the total area of mobile and fixed sandy lands, respectively, whereas there were more unstable sandy land distribution areas in the semi-mobile and semi-fixed sandy lands. These results indicate the alleviation of NSL desertification. The new sandy classification and monitoring methods proposed in this study will help improve the remote sensing monitoring of large-scale sand dynamics and offer new ideas for monitoring desertification on a large scale using remote sensing techniques.

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Desertification in the Mu Us Sandy Land in China: Response to climate change and human activity from 2000 to 2020

Cited by 29 publications

References 23 publications

Evaluation of desertification tendency based on soil characteristics in Çankırı urban forest

Evaluation of desertification tendency based on soil characteristics in Çankırı urban forest

Spatio-Temporal Patterns and Driving Forces of Desertification in Otindag Sandy Land, Inner Mongolia, China, in Recent 30 Years

Long-Term Dynamics of Sandy Vegetation and Land in North China

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