Modeling plant phenology by MODIS derived photochemical reflectance index (PRI)

Liu, Ying; Wu, Chaoyang; Tian, Feng; Wang, Xiaoyue; Gamon, John A.; Wong, Christopher Y. S.; Zhang, Xiaoyang; Gonsamo, Alemu; Jassal, Rachhpal S.

doi:10.1016/j.agrformet.2022.109095

Cited by 8 publications

(2 citation statements)

References 160 publications

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“…The timing of SOS corresponds to the timing of the first visible leaves (BBCH11) in deciduous broadleaf forests and the first leaves separated (BBCH10) in evergreen needleleaf forests. The timing of MidGreendown corresponds to the date when leaves in deciduous broadleaf forests exhibit 50% autumn coloration (BBCH94) [48][49][50][51][52]. Due to the lack of autumn phenology data for evergreen needleleaf forests and grasslands, their autumn phenological stages were not considered in this study.…”

Section: Phenology Validation Datasetmentioning

confidence: 99%

Refined Analysis of Vegetation Phenology Changes and Driving Forces in High Latitude Altitude Regions of the Northern Hemisphere: Insights from High Temporal Resolution MODIS Products

Yin,

Liu,

Liao

et al. 2024

Remote Sensing

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The vegetation patterns in high-latitude and high-altitude regions (HLAR) of the Northern Hemisphere are undergoing significant changes due to the combined effects of global warming and human activities, leading to increased uncertainties in vegetation phenological assessment. However, previous studies on vegetation phenological changes often relied on long-term time series of remote sensing products for evaluation and lacked comprehensive analysis of driving factors. In this study, we utilized high temporal resolution seamless MODIS products (MODIS-NDVISDC and MODIS-EVI2SDC) to assess the vegetation phenological changes in High-Latitude-Altitude Regions (HLAR) of the Northern Hemisphere. We quantified the differences in vegetation phenology among different land-use types and determined the main driving factors behind vegetation phenological changes. The results showed that the length of the growing season (LOS) derived from MODIS-NDVISDC was 8.9 days longer than that derived from MODIS-EVI2SDC, with an earlier start of the growing season (SOS) by 1.5 days and a later end of the growing season (EOS) by 7.4 days. Among different vegetation types, deciduous needleleaf forests exhibited the fastest LOS extension (p < 0.01), while croplands showed the fastest LOS reduction (p < 0.05). Regarding land-use transitions, the conversion of built-up land to forest and grassland had the longest LOS. In expanding agricultural areas, the LOS of land converted from built-up land to cropland was significantly higher than that of other land conversions. We analyzed human activities and found that as the human footprint gradient increased, the LOS showed a decreasing trend. Among the climate-related factors, the dominant response of phenology to temperature was the strongest in the vegetation greening period. During the vegetation browning period, the temperature control was weakened, and the control of radiation and precipitation was enhanced, accounting for 20–30% of the area, respectively. Finally, we supplement and prove that the highest contributions to vegetation greening in the Northern Hemisphere occurred during the SOS period (May–June) and the EOS period (October). Our study provides a theoretical basis for vegetation phenological assessment under global change. It also offers new insights for land resource management and planning in high-latitude and high-altitude regions.

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Section: Phenology Validation Datasetmentioning

confidence: 99%

Refined Analysis of Vegetation Phenology Changes and Driving Forces in High Latitude Altitude Regions of the Northern Hemisphere: Insights from High Temporal Resolution MODIS Products

Yin,

Liu,

Liao

et al. 2024

Remote Sensing

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“…The Normalized Differential Vegetation Index (NDVI), a vegetation index that was developed in the 1970s (Rouse et al, 1974), has typically been used to estimate resilience (e.g. Verbesselt et al, 2016), though it has limitations in regions with low seasonal variability such as the Amazon (Liu et al, 2022). Vegetation optical depth (VOD) has been used to complement this vegetation index (Boulton et al, 2022), though it has a limited penetration depth of microwaves in dense tropical forests, is sensitive to vegetation water content (Papastefanou et al, 2022), and has a c. 27 km pixel size that is too large to detect fine spatial patterns.…”

Section: Moving Forward: Integ R Ating Ecolog I C Al Leg Acie S and E...mentioning

confidence: 99%

Past human‐induced ecological legacies as a driver of modern Amazonian resilience

et al. 2023

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People have modified landscapes throughout the Holocene (the last c. 11,700 years) by modifying soils, burning forests, cultivating and domesticating plants, and directly and indirectly enriched and depleted plant abundances. These activities also took place in Amazonia, which is the largest contiguous piece of rainforest in the world, and for many decades was considered to have very little human impact until the modern era. The compositional shift caused by past human disturbances can alter forest traits, creating ecological legacies that may persist through time. As the lifespan of most Amazonian tree species is more than 200 years, forests that were modified over the last centuries to millennia are likely still in a mid‐successional state. Ecological legacies resulting from past human activity may also affect modern forest resilience to ongoing anthropogenic and climatic changes. Current estimates of resilience assume that forests are in equilibrium, and long‐term successional trajectories are not considered. We suggest that disturbance histories, generated through palaeoecological and archaeological surveys, should be paired with field‐based and remotely sensed estimates of forest resilience to recent drought events, to determine whether past human activities affect modern forest resilience. We have outlined how this can be accomplished in future research. Read the free Plain Language Summary for this article on the Journal blog.

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Global research and research progress on climate change and their impact on plant phenology: 30 years of investigations through bibliometric analysis

Singh,

Gargi,

Semwal

et al. 2024

Theor Appl Climatol

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Modeling plant phenology by MODIS derived photochemical reflectance index (PRI)

Cited by 8 publications

References 160 publications

Refined Analysis of Vegetation Phenology Changes and Driving Forces in High Latitude Altitude Regions of the Northern Hemisphere: Insights from High Temporal Resolution MODIS Products

Refined Analysis of Vegetation Phenology Changes and Driving Forces in High Latitude Altitude Regions of the Northern Hemisphere: Insights from High Temporal Resolution MODIS Products

Past human‐induced ecological legacies as a driver of modern Amazonian resilience

Global research and research progress on climate change and their impact on plant phenology: 30 years of investigations through bibliometric analysis

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