Eastern Mongolian Grassland Steppe

Girvetz, Evan H.; McDonald, Robert I.; Heiner, Michael; Kiesecker, Joseph M.; Galbadrakh, Davaa; Pague, Chris; Durnin, Matthew; Oidov, Enkhtuya

doi:10.5822/978-1-61091-203-7_8

Cited by 3 publications

(2 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We used a modified version of a widely accepted ratio of annual precipitation to the annual potential evapotranspiration in this work, developed by the United Nations Environment Programme in 1992 [35,36]. This index has been used to quantify droughts and estimate possible changes in climate regimes [37,38], and manage afforestation and reforestation projects and prioritize and assess future conservation efforts in rangelands [39,40]. It has also been previously compared to vegetation indexes [41].…”

Section: Introductionmentioning

confidence: 99%

Normalized Difference Vegetation Index Temporal Responses to Temperature and Precipitation in Arid Rangelands

et al. 2021

View full text Add to dashboard Cite

Rangeland degradation caused by increasing misuses remains a global concern. Rangelands have a remarkable spatiotemporal heterogeneity, making them suitable to be monitored with remote sensing. Among the remotely sensed vegetation indices, Normalized Difference Vegetation Index (NDVI) is most used in ecology and agriculture. In this paper, we research the relationship of NDVI with temperature, precipitation, and Aridity Index (AI) in four different arid rangeland areas in Spain’s southeast. We focus on the interphase variability, studying time series from 2002 to 2019 with regression analysis and lagged correlation at two different spatial resolutions (500 × 500 and 250 × 250 m2) to understand NDVI response to meteorological variables. Intraseasonal phases were defined based on NDVI patterns. Strong correlation with temperature was reported in phases with high precipitations. The correlation between NDVI and meteorological series showed a time lag effect depending on the area, phase, and variable observed. Differences were found between the two resolutions, showing a stronger relationship with the finer one. Land uses and management affected the NDVI dynamics heavily strongly linked to temperature and water availability. The relationship between AI and NDVI clustered the areas in two groups. The intraphases variability is a crucial aspect of NDVI dynamics, particularly in arid regions.

show abstract

Section: Introductionmentioning

confidence: 99%

Normalized Difference Vegetation Index Temporal Responses to Temperature and Precipitation in Arid Rangelands

et al. 2021

View full text Add to dashboard Cite

show abstract

“…Programme developed a modified and widely accepted ratio of annual precipitation to the annual potential evapotranspiration (Maestre et al, 2012;Middleton and Thomas, 1992). This index has been used to quantify droughts and estimates possible changes in climate regimes (Bannayan et al, 2010;Sepehr et al, 2007), manage afforestation and reforestation projects, and prioritize and assess future conservation efforts in rangelands (Girvetz et al, 2012;Zheng and Zhu, 2017). It has also been previously compared to vegetation indices such as NDVI (Costantini et al, 2009;Nyamtseren et al, 2018;Scordo et al, 2009).…”

Section: Ndvi Relationship To Meteorological Variablesmentioning

confidence: 99%

Vegetation dynamic patterns of arid rangelands : a multifractal approach

Sanz Sancho

View full text Add to dashboard Cite

Rangelands are complex ecosystems with non-linear dynamics in space and time, however, their temporal dynamics have only recently started to be studied and they are not fully understood. Rangelands comprise 30-40% of the Earth´s landmass and their degradation caused by increasing misuse remains a global concern, affecting 73 % of all rangelands. Remote sensing and satellite monitoring methods are commonly used to study ecology and agriculture. Among different satellite indices, the Normalized Difference Vegetation Index (NDVI) is the most widely used vegetation index by rangeland ecologists. The NDVI reveals a good correlation with the biomass of different vegetation types in arid and semi-arid areas. NDVI anomalies (NDVIa and ZNDVI) are other indexes proven useful for identifying drought and water stress on vegetation; therefore, it is suited to study arid and semi-arid ecosystems List of tables xviii NDVI trend are included. For each phase, bold values show the strongest correlations among the different time lags tested.

show abstract