Climate change: vegetation and phenological phase dynamics

Li, Yang; Qin, Yaochen; Ma, Liqun; Pan, Ziwu

doi:10.1108/ijccsm-06-2019-0037

Cited by 10 publications

(7 citation statements)

References 31 publications

(35 reference statements)

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“…Specifically, lower TV % (about 1 %) correspond to forests placed at lower altitudes, suggesting that climate change determine stronger effects on forests located at higher altitudes (about 4 %). Results seem to be consistent with a recent studies [74,[77][78][79] that found that vegetation greening and climate warming effects trends were stronger at higher altitudes, thus supporting the idea that an altitudinal gradient effect operates in determining forests vigor level and changes. Conversely, pastures showed a negative altitudinal TV% gradient.…”

Section: Forests Az1supporting

confidence: 91%

Exploring Climate Change Effects on Vegetation Phenology by MOD13Q1 Data: The Piemonte Region Case Study in the Period 2001–2019

2021

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Rising temperature, rainfall, and wind regime changes, increasing of frequency and intensity of extreme events are only some of the effects of climate change affecting the agro-forestry sector. Earth Observation data from satellite missions (often available for free) can certainly support analysis of climate change effects on vegetation, making possible to improve land management in space and time. Within this context, the present work aims at investigating natural and agricultural vegetation, as mapped by Corine Land Cover (CLC) dataset, focusing on phenological metrics trends that can be possibly conditioned by the ongoing climate-change. The study area consists of the entire Piemonte region (NW-Italy). MOD13Q1-v6 dataset from TERRA MODIS mission was used to describe pluri-annual (2001–2019) phenological behavior of vegetation focusing on the following CLC classes: Non-irrigated arable land, Vineyards, Pastures, and Forests. After computing and mapping some phenological metrics as derivable from the interpretation of at-pixel level NDVI (Normalized Difference Vegetation Index) temporal profile, we found that the most significant one was the maximum annual NDVI (MaxNDVI). Consequently, its trend was analyzed at CLC class level for the whole Piemonte region. Natural and semi-natural vegetation classes (Pastures and Forests) were furtherly investigated testing significance of the Percent Total Variation (TV %) of MaxNDVI in the period 2001–2019 for different altitude classes. Results proved that Non-irrigated arable land showed a not significant trend of MaxNDVI; differently, vineyards and forests showed a significant increasing one. Concerning TV %, it was found that it increases with altitude for the Forests CLC class, while it decreases with altitude for the pastures class.

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Section: Forests Az1supporting

confidence: 91%

Exploring Climate Change Effects on Vegetation Phenology by MOD13Q1 Data: The Piemonte Region Case Study in the Period 2001–2019

2021

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“…Therefore, before extracting the vegetation phenology parameters, one needed to smooth the EVI time-series data to further remove the effects of noise. Relevant studies [50,51] have confirmed that the Savitzky-Golay filtering method performs best in most situations when de-noising time-series vegetation index data from various satellite sensors. Therefore, the EVI time-series were reconstructed using the Savitzky-Golay method here.…”

Section: Data Smoothing and Phenology Extractionmentioning

confidence: 95%

“…The spatial patterns of the multi-year average SOS and EOS in this study were consistent with the results of most scholars [43,[68][69][70], but EOS was slightly different from their results in the size of the value. Studies by many scholars [51,71,72] have shown that the SOS of vegetation in the LP tends to advance, EOS tends to delay, and the growing season becomes longer. As a result, the differences and variations in phenological parameters may lead to the deviations in WVCI to a certain extent.…”

Section: Factors Affecting Wvci Performancementioning

confidence: 99%

Drought Assessment on Vegetation in the Loess Plateau Using a Phenology-Based Vegetation Condition Index

Zong

et al. 2022

Remote Sensing

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Frequent droughts induced by climate warming have caused increasing impacts on the vegetation of the Loess Plateau (LP). However, the effects of drought on vegetation are highly dependent on when the drought occurs and how long it lasts during the growing season. Unfortunately, most of the existing drought indices ignore the differences in the drought effects on different vegetation growth stages. In this study, we first established a phenology-based vegetation condition index, namely weighted vegetation condition index (WVCI), which accounts for the differences in vegetation sensitivity to drought by assigning specific weights to different phenological stages of vegetation. Then, we used the WVCI to reveal the temporal and spatial variations in vegetative drought from 2001 to 2019 over the LP from the aspects of drought frequency, trend and relative deviation. The results showed that (1) the LP experienced frequent droughts during the study period, but mainly mild and moderate droughts. The drought frequencies decreased from southeast to northwest, and extreme droughts rarely occurred in mountainous areas and plains. (2) The droughts in most areas of the LP tended to ease, and only a few areas in the Hetao Plain, Ningxia Plain and Fenwei Plain showed an increasing trend of drought. (3) After 2012, the departure percentage of WVCI in most areas of the LP was positive, indicating above-average vegetation conditions. (4) Compared with the well-established vegetation condition index, the WVCI proved to have the ability to monitor and assess vegetative drought on an annual scale in the LP. As a result, our research could help develop and implement drought-resistance and disaster-prevention measures on the LP.

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“…However, there is an ongoing discussion among scholars regarding the extent to which human activities contribute to vegetation greening on the Loess Plateau [38][39][40]. Most research has focused on vegetation greenness at the regional [38,[41][42][43][44][45] or watershed scale [46][47][48][49][50], with limited studies conducted at the county scale. Additionally, the analysis of driving factors behind spatiotemporal changes in vegetation greenness has mainly focused on natural factors [51][52][53], with limited consideration of socioeconomic factors.…”

Section: Introductionmentioning

confidence: 99%

Exploring the Driving Forces of Vegetation Greening on the Loess Plateau at the County Scale

Kong,

Huang,

et al. 2024

Forests

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China has implemented several ecological projects in the Loess Plateau region to address severe land degradation and soil erosion. Accurately assessing ecological restoration and its driving factors remains challenging. Previous studies in this area concentrated on driving factors have mainly focused on natural factors at the regional or watershed scale, with limited consideration of socioeconomic factors at the county scale. In this study conducted in Huanglong County on the Loess Plateau, the focus was to fill the gaps in previous research and provide insights into the socioeconomic driving forces behind vegetation greening. Remote sensing image data (NDVI) from 1999 to 2019 were used to analyze vegetation greenness dynamics in the region. Five socioeconomic variables were considered, including afforestation intensity, deforestation intensity, agricultural intensity, village intensity, and road intensity layers, to characterize the impact of afforestation, agriculture, and urbanization policies. The RESTREND (residual trends) method was employed to assess the relative importance of climate and human activities on vegetation dynamics. This study found that temperature–NDVI relationships are more suitable for building RESTREND models than precipitation–NDVI relationships. Human activity was the main driver of vegetation dynamics, contributing 62% compared to 38% from climate change. Agricultural practices and afforestation were found to have a positive impact on ecological restoration, while deforestation and urbanization had no significant impact. These findings highlight a conceptual framework for understanding the intricate relationship between ecological restoration, climatic factors, and human activity on the Loess Plateau. This study suggests that significant progress has been made in ecological restoration through human efforts in combating land degradation. However, it emphasizes the need to strengthen natural conservation efforts and gradually transition toward restoration processes driven by natural forces for sustainable socioeconomic development. The methodology used in this study can be applied to explore the driving forces of ecological restoration in other regions facing human-driven land degradation.

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Climate change: vegetation and phenological phase dynamics

Cited by 10 publications

References 31 publications

Exploring Climate Change Effects on Vegetation Phenology by MOD13Q1 Data: The Piemonte Region Case Study in the Period 2001–2019

Exploring Climate Change Effects on Vegetation Phenology by MOD13Q1 Data: The Piemonte Region Case Study in the Period 2001–2019

Drought Assessment on Vegetation in the Loess Plateau Using a Phenology-Based Vegetation Condition Index

Exploring the Driving Forces of Vegetation Greening on the Loess Plateau at the County Scale

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