Vegetation Indices Do Not Capture Forest Cover Variation in Upland Siberian Larch Forests

Loranty, M. M.; Davydov, S. P.; Kropp, Heather; Alexander, Heather D.; Mack, Michelle C.; Natali, Susan M.; Zimov, N.

doi:10.3390/rs10111686

Cited by 49 publications

(48 citation statements)

References 45 publications

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“…The classification accuracy was acceptable, similar to investigations carried out with comparable methodology [36], and the Kappa coefficient was 90.33%, which indicates a precise classification. The behavior patterns of the VIs in the forests respond to summer rains, where the highest values were observed and that correspond to the growing season, NDVI, SAVI, MSAVI, and EVI increase appreciably during the beginning and the end of the season of growth [50]. Forests have a longer response of lag to other types of vegetation, when they face extreme weather; their own responses to stress and their adaptability make them less influenced by climatic anomalies and have a lag response to prolonged drought due to their deep root system [51].…”

Section: Discussionmentioning

confidence: 97%

Spatio-Temporal Response of Vegetation Indices to Rainfall and Temperature in A Semiarid Region

et al. 2020

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In this research, vegetation indices (VIs) were analyzed as indicators of the spatio-temporal variation of vegetation in a semi-arid region. For a better understanding of this dynamic, interactions between vegetation and climate should be studied more widely. To this end, the following methodology was proposed: (1) acquire the NDVI, EVI, SAVI, MSAVI, and NDMI by classification of vegetation and land cover categories in a monthly period from 2014 to 2018; (2) perform a geostatistical analysis of rainfall and temperature; and (3) assess the application of ordinary and uncertainty least squares linear regression models to experimental data from the response of vegetation indices to climatic variables through the BiDASys (bivariate data analysis system) program. The proposed methodology was tested in a semi-arid region of Zacatecas, Mexico. It was found that besides the high values in the indices that indicate good health, the climatic variables that have an impact on the study area should be considered given the close relationship with the vegetation. A better correlation of the NDMI and EVI with rainfall and temperature was found, and similarly, the relationship between VIs and climatic factors showed a general time lag effect. This methodology can be considered in management and conservation plans of natural ecosystems, in the context of climate change and sustainable development policies.

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Section: Discussionmentioning

confidence: 97%

Spatio-Temporal Response of Vegetation Indices to Rainfall and Temperature in A Semiarid Region

et al. 2020

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“…challenging (Montesano et al 2016;Loranty et al 2018). The rarity of historical aerial photographs with comparable resolution makes it unlikely that analyses similar to this one could be completed in other regions.…”

Section: Discussionmentioning

confidence: 99%

Reproductive limitation mediates the response of white spruce (Picea glauca) to climate warming across the forest–tundra ecotone

et al. 2019

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Shifts in the extent of the boreal forest during past warm intervals and correlations between climate and the position of the forest–tundra ecotone suggest that recent temperature increases will facilitate forest expansion into tundra ecosystems. In this study, we used a unique set of high-resolution repeat photographs to characterize white spruce (Picea glauca (Moench) Voss) populations in 1980 and 2015 at 52 sites across the forest–tundra transition in the Northwest Territories, Canada. We also conducted field inventories at eight sites to examine mapping accuracy, construct age distributions, and assess cone production and seed viability. Our analysis shows that stand density in the forest–tundra has increased significantly since 1980 but that the density of spruce at sites in the tundra has not changed. Age distributions constructed from field sampling also indicate that recent recruitment has occurred in the forest–tundra but not at tundra sites. The nonlinear relationship between summer temperature and seed viability suggests that recent warming has facilitated recruitment in the northern Subarctic but that cold temperatures still limit recruitment at higher latitude tundra sites. Additional research to determine the extent of changes in forest density across the northern Subarctic should be conducted to determine if similar changes are occurring across this ecotone.

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“…The increasing NDVI trends reported in this study for most parts of the DRB seem counter-intuitive given, for example, the deforestation activities that have been taking place in the basin . Thus, the trend result may not necessarily represent increasing vegetation cover for the study area, which implies that the GIMMS NDVI datasets does not capture forest cover change due to the saturation problem of the sensor (Yin et al 2012;Loranty et al 2018). Moreover, the NDVI trend results show that the GIMMS NDVI dataset do not capture local vegetation trends caused by anthropogenic effects.…”

Section: Vegetation Greenness-climate Variables Nexusmentioning

confidence: 96%

Spatiotemporal climate and vegetation greenness changes and their nexus for Dhidhessa River Basin, Ethiopia

et al. 2019

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Background: Understanding spatiotemporal climate and vegetation changes and their nexus is key for designing climate change adaptation strategies at a local scale. However, such a study is lacking in many basins of Ethiopia. The objectives of this study were (i) to analyze temperature, rainfall and vegetation greenness trends and (ii) determine the spatial relationship of climate variables and vegetation greenness, characterized using Normalized Difference in Vegetation Index (NDVI), for the Dhidhessa River Basin (DRB). Quality checked high spatial resolution satellite datasets were used for the study. Mann-Kendall test and Sen's slope method were used for the trend analysis. The spatial relationship between climate change and NDVI was analyzed using geographically weighted regression (GWR) technique. Results: According to the study, past and future climate trend analysis generally showed wetting and warming for the DRB where the degree of trends varies for the different time and spatial scales. A seasonal shift in rainfall was also observed for the basin. These findings informed that there will be a negative impact on rain-fed agriculture and water availability in the basin. Besides, NDVI trends analysis generally showed greening for most climatic zones for the annual and main rainy season timescales. However, no NDVI trends were observed in all timescales for cool subhumid, tepid humid and warm humid climatic zones. The increasing NDVI trends could be attributed to agroforestry practices but do not necessarily indicate improved forest coverage for the basin. The change in NDVI was positively correlated to rainfall (r 2 = 0.62) and negatively correlated to the minimum (r 2 = 0.58) and maximum (r 2 = 0.45) temperature. The study revealed a strong interaction between the climate variables and vegetation greenness for the basin that further influences the biophysical processes of the land surface like the hydrologic responses of a basin. Conclusion: The study concluded that the trend in climate and vegetation greenness varies spatiotemporally for the DRB. Besides, the climate change and its strong relationship with vegetation greenness observed in this study will further affect the biophysical and environmental processes in the study area; mostly negatively on agricultural and water resource sectors. Thus, this study provides helpful information to device climate change adaptation strategies at a local scale.

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Vegetation Indices Do Not Capture Forest Cover Variation in Upland Siberian Larch Forests

Cited by 49 publications

References 45 publications

Spatio-Temporal Response of Vegetation Indices to Rainfall and Temperature in A Semiarid Region

Spatio-Temporal Response of Vegetation Indices to Rainfall and Temperature in A Semiarid Region

Reproductive limitation mediates the response of white spruce (Picea glauca) to climate warming across the forest–tundra ecotone

Spatiotemporal climate and vegetation greenness changes and their nexus for Dhidhessa River Basin, Ethiopia

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