Distinguishing the vegetation dynamics induced by anthropogenic factors using vegetation optical depth and AVHRR NDVI: A cross-border study on the Mongolian Plateau

Zhou, Xiang; Yamaguchi, Yasushi; Arjasakusuma, Sanjiwana

doi:10.1016/j.scitotenv.2017.10.253

Cited by 80 publications

(51 citation statements)

References 45 publications

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“…Among the various NDVI products, GIMMS NDVI3g is the most commonly used. Evaluation of the uncertainties of this resulting NDVI values gave an error of ±0.005 NDVI units, which have been widely considered acceptable in empirical studies [24,32,33]. The spatial and temporal resolution of this dataset is 1/12 • and bimonthly frequency, respectively.…”

Section: Ndvi Productsmentioning

confidence: 78%

“…About three-quarters of the land in Mongolia is made up of pastures that provide support for an enormous quantity of grazing livestock. Due to the small population density of Mongolia, the impacts of industry, agriculture, and urban construction on vegetation are limited [24]. Grazing activities are the primary and most direct factors affecting vegetation change.…”

Section: Livestockmentioning

confidence: 99%

“…In addition, a few studies have shown that Mongolian vegetation is particularly vulnerable to climate change and human activity [21][22][23].To date, numerous studies have investigated the driving factors of the vegetation change in Mongolia at different spatial and temporal scales; however, some crucial issues have still not been fully addressed. Firstly, most analytical methods on the factors influencing NDVI change were limited to simple linear regression or correlation analyses [20,21,24,25]. Given the complex relationships…”

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confidence: 99%

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Spatial and Temporal Characteristics of Vegetation NDVI Changes and the Driving Forces in Mongolia during 1982–2015

et al. 2020

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As a result of the unique geographical characteristics, pastoral lifestyle, and economic conditions in Mongolia, its fragile natural ecosystems are highly sensitive to climate change and human activities. The normalized difference vegetation index (NDVI) was employed in this study as an indicator of the growth status of vegetation. The Sen's slope, Mann-Kendall test, and geographical detector modelling methods were used to assess the spatial and temporal changes of the NDVI in response to variations in natural conditions and human activities in Mongolia from 1982 to 2015. The corresponding individual and interactive driving forces, and the optimal range for the maximum NDVI value of vegetation distribution were also quantified. The area in which vegetation was degraded was roughly equal to the area of increase, but different vegetation types behaved differently. The desert steppe and the Gobi Desert both in arid regions have degraded significantly, whereas the meadow steppe and alpine steppe showed a significant upward trend. Precipitation can satisfactorily account for vegetation distribution. Changes of livestock quantity was the dominant factor influencing the changes of most vegetation types. The interactions of topographic factors and climate factors have significant effects on vegetation growth. In the region of annual precipitation between 331 mm and 596 mm, forest vegetation type and pine sandy soil type were found to be most suitable for the growth of vegetation in Mongolia. The findings of this study can help us to understand the appropriate range or type of environmental factors affecting vegetation growth in Mongolia, based on which we can apply appropriate interventions to effectively mitigate the impact of environmental changes on vegetation.With the continuous development of earth observation system technology and the continuous enrichment of statistical models, the research content and methods of the relationships between vegetation, climate change, and human activities have become increasingly diverse. The normalized density vegetation index (NDVI), derived from infrared channel and near-infrared channel remote sensing data, is a good indicator of vegetation growth status and spatial distribution density of vegetation, and is linearly related to vegetation distribution density [6,7]. A large number of ecological studies have been carried out related to vegetation change and its influencing factors using NDVI and statistical models. Temperature and precipitation, as important factors in the natural environment, are often used as research priorities to assess their impact on vegetation. However, the dominant factors contributing to NDVI in different regions vary considerably. The variety in vegetation and its connection to climate change have been investigated by Du et al. [5] and Zheng et al. [8] in China. These studies identified precipitation as the key climatic factor governing variation in NDVI. However, Guo et al. [9] found that temperature was the dominant factor on vegetation (NDVI) growth ...

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Section: Ndvi Productsmentioning

confidence: 78%

Section: Livestockmentioning

confidence: 99%

mentioning

confidence: 99%

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Spatial and Temporal Characteristics of Vegetation NDVI Changes and the Driving Forces in Mongolia during 1982–2015

et al. 2020

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“…Residual trend analysis (RESTREND) can differentiate vegetation dynamic variations (denoted by NDVI) caused by human activities from those resulting from climate change [67][68][69]. It is clear that there are two reasonable assumptions involved in RESTREND [62,70,71]. First, vegetation dynamic variations are controlled by human activities and climate change.…”

Section: Contribution Analysis Of Human Activitiesmentioning

confidence: 99%

Greening Implication Inferred from Vegetation Dynamics Interacted with Climate Change and Human Activities over the Southeast Qinghai–Tibet Plateau

Liu

et al. 2019

Remote Sensing

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Vegetation dynamics are sensitive to climate change and human activities, as vegetation interacts with the hydrosphere, atmosphere, and biosphere. The Yarlung Zangbo River (YZR) basin, with the vulnerable ecological environment, has experienced a series of natural disasters since the new millennium. Therefore, in this study, the vegetation dynamic variations and their associated responses to environmental changes in the YZR basin were investigated based on Normalized Difference Vegetation Index (NDVI) and Global Land Data Assimilation System (GLDAS) data from 2000 to 2016. Results showed that (1) the YZR basin showed an obvious vegetation greening process with a significant increase of the growing season NDVI (Zc = 2.31, p < 0.05), which was mainly attributed to the wide greening tendency of the downstream region that accounted for over 50% area of the YZR basin. (2) Regions with significant greening accounted for 25.4% of the basin and were mainly concentrated in the Nyang River and Parlung Tsangpo River sub-basins. On the contrary, the browning regions accounted for <25% of the basin and were mostly distributed in the urbanized cities of the midstream, implying a significant influence of human activities on vegetation greening. (3) The elevation dependency of the vegetation in the YZR basin was significant, showing that the vegetation of the low-altitude regions was better than that of the high-altitude regions. The greening rate exhibited a significantly more complicated relationship with the elevation, which increased with elevated altitude (above 3500 m) and decreased with elevated altitude (below 3500 m). (4) Significantly positive correlations between the growing season NDVI and surface air temperature were detected, which were mainly distributed in the snow-dominated sub-basins, indicating that glaciers and snow melting processes induced by global warming play an important role in vegetation growth. Although basin-wide non-significant negative correlations were found between precipitation and growing season NDVI, positive influences of precipitation on vegetation greening occurred in the arid and semi-arid upstream region. These findings could provide important information for ecological environment protection in the YZR basin and other high mountain regions.

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“…According to Mayer et al (2017) concluded that the Undergrowth Vegetation, react individually depending on the species and the elevation and trampling. According to Zhou et al (2018) reported in their results of China's ecological restoration programs, reported that pastures suffer a significant increase in biomass in the area since 2000, which was attributed to the reduction of trampling pressure decrease in density of impact. Joining the years 2013 to 2015 represents 125.62 hectares, which shows an increase of the occupied area of 13.16 hectares by the Undergrowth Vegetation inside the Natural Monument Morro de Santo Antônio compared to the year of creation of the Monument (Table 1).…”

Section: Soil Use and Land Use Change Assessmentsmentioning

confidence: 99%

Change in Biophysical Parameters from the Creation of a Natural Monument in Mato Grosso

Souza

Danelichen²,

Biudes

et al. 2019

Rev. Bras. Geog. Fis.

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Among the categories of conservation units, the Natural Monument (MoNa) presents a high challenge because it is established areas. MoNa Morro de Santo Antônio is the only one in the state of Mato Grosso and degree of preservation is unknown. Thus, the objective of this work was to evaluate the use and occupation of the soil after the creation of MoNa Morro de Santo Antônio in the state of Mato Grosso and its influence on biophysical parameters from remote sensing techniques. For this, images of the surface reflectance obtained by Landsat 5 and 8 were used. The vegetation classification in the MoNa Morro de Santo Antônio was supervised. The estimated biophysical parameters were the Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) and the Normalized Difference Moisture Index (NDMI). The results presented in this work show that after the creation of MoNa Morro de Santo Antônio the native Cerrado class increased by 3.38%, the Undergrowth vegetation increased by 5.59% and the Forest dense class increased from 2.21% between 2006 and 2015. The Undergrowth vegetation class had a greater predominance. All indexes were lower in 2006 and higher in 2015. The results of this study are preliminary, but indicate that the creation of MoNa Morro de Santo Antônio in Mato Grosso influenced the preservation of its vegetation.

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Distinguishing the vegetation dynamics induced by anthropogenic factors using vegetation optical depth and AVHRR NDVI: A cross-border study on the Mongolian Plateau

Cited by 80 publications

References 45 publications

Spatial and Temporal Characteristics of Vegetation NDVI Changes and the Driving Forces in Mongolia during 1982–2015

Spatial and Temporal Characteristics of Vegetation NDVI Changes and the Driving Forces in Mongolia during 1982–2015

Greening Implication Inferred from Vegetation Dynamics Interacted with Climate Change and Human Activities over the Southeast Qinghai–Tibet Plateau

Change in Biophysical Parameters from the Creation of a Natural Monument in Mato Grosso

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