Recent NDVI-Based Variation in Growth of Boreal Intact Forest Landscapes and Its Correlation with Climatic Variables

Jin, Jiaxin; Wang, Ying; Jiang, Hong; Cheng, Min

doi:10.3390/su8040326

Cited by 11 publications

(5 citation statements)

References 27 publications

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“…Moreover, path analysis was applied to investigate direct effects of the environmental variables on IAV of ET pixel by pixel over the study area. In the analysis, path coefficients were standardized weights which can be used in examining the possible causal linkage between statistical variables [44][45][46]. In the present work, SD ET was employed as the dependent variable, indicating IAV of ET.…”

Section: Path Analysismentioning

confidence: 99%

Intra-Annual Variability of Evapotranspiration in Response to Climate and Vegetation Change across the Poyang Lake Basin, China

et al. 2022

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Improving understanding of changes in intra-annual variability (IAV) of evapotranspiration (ET) and the underlying drivers is an essential step for modeling hydrological processes in response to global change. Previous studies paid special attention to climatic regulations of IAV of ET. However, ignoring the role of landscape characteristics (e.g., vegetation coverage) can introduce great uncertainty in the explanation of ET variance. In this work, the Poyang Lake Basin, which is a typical humid basin in China, was taken as the study area. It has experienced an obvious climate change and revegetation since the 1980s. Here, trends of IAV of ET and their responses to four climatic variables (i.e., air temperature, precipitation, downward shortwave radiation and wind speed) and vegetation coverage were explored from 1983 to 2014. The results show that IAV of ET exhibited contrary trends during the past decades. It significantly (p < 0.05) declined with a significant linear slope of −0.52 mm/year before 2000, and then slightly increased (slope = 0.06 mm/year, p > 0.05) over the basin, which was generally consistent with the IAV of temperature and radiation. The proposed variables could well capture the change in IAV of ET, while their dominators were different during the two contrasting phases mentioned above. The IAV of radiation and temperature dominated the change of the IAV of ET over 77.82% and 35.14% of the basin, respectively, before and after the turning point. Meanwhile, the rapid increase in vegetation coverage, which was associated with afforestation, significantly (p < 0.05) reduced IAV of ET over about 35% of the study area. The achievements of this study should be beneficial for a sophisticated awareness of responses of intra-annual variability of ET to climate and land cover changes at the basin scale.

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Section: Path Analysismentioning

confidence: 99%

Intra-Annual Variability of Evapotranspiration in Response to Climate and Vegetation Change across the Poyang Lake Basin, China

et al. 2022

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“…Interestingly, multiple reports from both in situ and satellite observations indicated that since 2000, the advancing trends of the SOS have slowed down, with even a reverse trend occurring in some regions [3,11,12]. Meanwhile, for changes in vegetation greenness, a slowed and even reverse trend was also reported in different regions over the Northern Hemisphere after 2000 [13,14]. Considering that changes in vegetation may also lead to multiple feedbacks to the climate system [15], it is necessary to conduct further research on vegetation dynamics after 2000 to understand global climate change.…”

Section: Introductionmentioning

confidence: 99%

“…The changes in snow cover phenology may have significant impacts on vegetation dynamics for several reasons. First, although there is no direct relationship between snow and vegetation growth [21], changes in snow cover can have cascading effects on the known drivers of vegetation growth, such as the chilling requirement, forcing temperatures, and soil moisture status [13,15,16]. Second, changes in snow cover play a very important role in energy feedback through albedo, surface heating, and water budgeting [23,25].…”

Section: Introductionmentioning

confidence: 99%

Diverse Responses of Vegetation Dynamics to Snow Cover Phenology over the Boreal Region

Xiong

Zhang

Zhao

et al. 2019

Forests

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Snow cover phenology plays an important role in vegetation dynamics over the boreal region, but the observed evidence of this interaction is limited. A comprehensive understanding of the changes in vegetation dynamics and snow cover phenology as well as the interactions between them is urgently needed. To investigate this, we calculated two indicators, the start of the growing season (SOS) and the annual maximum enhanced vegetation index (EVImax), as proxies of vegetation dynamics using the Moderate Resolution Imaging Spectroradiometer (MODIS) enhanced vegetation index (EVI). Snow cover duration (SCD) and snow cover end date (SCE) were also extracted from MODIS snow cover datasets. Then, we quantified the spatial-temporal changes in vegetation dynamics and snow cover phenology as well as the relationship between them over the boreal region. Our results showed that the EVImax generally demonstrated an increasing trend, but SOS varied in different regions and vegetation types from 2001 to 2014. The earlier onset of SOS was mainly concentrated in the Siberian boreal region. In the Eurasian boreal region, we observed an advance in the SCE and decrease in the SCD, while in the North American boreal region, the spatial distribution of the trends exhibited substantial heterogeneity. Our results also indicated that the snow cover phenology had significant impacts on the SOS and the EVImax, but the effects varied in different regions, vegetation types, and climate gradients. Our findings provide strong evidence of the interaction between vegetation dynamics and snow cover phenology, and snow cover should be considered when analyzing future vegetation dynamics in the boreal region.

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“…Third, the impact of climate on the ecosystem must be considered by using past data. Climate was not considered in this study, but this factor significantly influences forest fragmentation and loss [22,41,42].…”

Section: Limitations and Further Studiesmentioning

confidence: 99%

Forest Fragmentation and Driving Forces in Yingkou, Northeastern China

2017

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Forest fragmentation, the process of changing original large and intact forest patches into smaller and isolated areas, significantly influences the balance of surface physical environment, biodiversity, and species richness. Sufficient knowledge of forest fragmentation is necessary to maintain ecological balance and promote sustainable resource utilization. This study combines remote sensing, geographical information systems, and landscape metrics to assess forest fragmentation at landscape and pixel levels during different time periods (2000-2005, 2005-2010, and 2010-2015) in the Yingkou region. Spatial statistical analysis is also used to analyze the relationship between forest landscape fragmentation and its determinants (e.g., natural factors, socioeconomic factors, and proximity factors). Results show that forest patches became smaller, subdivided, and isolated during 2010-2015 at the total landscape level. Local changes occurred in the southwest of the study region or around the development area. Our data also indicate that shrinkage and subdivision were the main forest fragmentation processes during three times, and attrition became the main forest fragmentation process from 2010 to 2015. These changes were significantly influenced by natural factors (e.g., elevation and slope), proximity factors (e.g., distance to city and distance to province roads), and socioeconomic factors (e.g., gross domestic product). Results presented in this study provide valuable insights into the pattern and processes of forest fragmentation and present direct implications for the protection and reasonable utilization of forest resources.

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Recent NDVI-Based Variation in Growth of Boreal Intact Forest Landscapes and Its Correlation with Climatic Variables

Cited by 11 publications

References 27 publications

Intra-Annual Variability of Evapotranspiration in Response to Climate and Vegetation Change across the Poyang Lake Basin, China

Intra-Annual Variability of Evapotranspiration in Response to Climate and Vegetation Change across the Poyang Lake Basin, China

Diverse Responses of Vegetation Dynamics to Snow Cover Phenology over the Boreal Region

Forest Fragmentation and Driving Forces in Yingkou, Northeastern China

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