Promote the advance of the start of the growing season from combined effects of climate change and wildfire

Rihan, Wu; Zhang, Hongyan; Yu, Shen; Guo, Xiaoyi; Hong, Ying‐yi; Deng, Guiping; Li, Hui

doi:10.1016/j.ecolind.2021.107483

Cited by 8 publications

(2 citation statements)

References 50 publications

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“…Mariano et al [15] analyzed land degradation and drought events using the moderate resolution imaging spectroradiometer (MODIS)-leaf-area index, albedo, and evapotranspiration images for northeastern Brazil for 2002-2016. Many researchers have studied the changes in vegetation patterns on the Mongolian Plateau, and their responses to climatic factors and human activities [16][17][18][19]. Globally, the trend of vegetation dynamics and its interaction with associated drivers, such as precipitation, temperature, and evapotranspiration, have been studied using satellite-based products [20][21][22][23][24].…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Responses of Vegetation to Hydroclimatic Factors over Arid and Semi-arid Climate

Yadav,

Malav,

Singh

et al. 2023

Sustainability

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Understanding the dynamics of vegetative greenness and how it interacts with various hydroclimatic factors is crucial for comprehending the implications of global climate change. The present study utilized the MODIS-derived normalized difference vegetation index (NDVI) to understand the vegetation patterns over 21 years (2001–2021) in Rajasthan, India. The rainfall, land surface temperature (LST), and evapotranspiration (ET) were also analyzed. The changes, at a 30 m pixel resolution, were evaluated using Mann–Kendall’s trend test. The results reveal that the NDVI, ET, and rainfall had increasing trends, whereas the LST had a decreasing trend in Rajasthan. The NDVI increased for 96.5% of the total pixels, while it decreased for 3.4% of the pixels, of theh indicates vegetation improvement rather than degradation. The findings of this study provide direct proof of a significant reduction in degraded lands throughout Rajasthan, particularly in the vicinity of the Indira Gandhi Canal command area. Concurrently, there has been a noticeable expansion in the cultivated land area. The trend of vegetation decline, particularly in the metro cities, has occurred as a result of urbanization and industrialization. In contrast to the LST, which has a decreasing gradient from the western to eastern portions, the spatial variability in the NDVI, ET, and rainfall have decreasing gradients from the southern and eastern to western regions. The results of correlations between the vegetative indices and hydroclimatic variables indicate that the NDVI has a strong positive correlation with ET (r2 = 0.86), and a negative correlation with LST (r2 = −0.55). This research provides scientific insights into vegetation change across Rajasthan, and may help the state to monitor vegetation changes, conserve ecosystems, and implement sustainable ecosystem management.

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Section: Introductionmentioning

confidence: 99%

Spatiotemporal Responses of Vegetation to Hydroclimatic Factors over Arid and Semi-arid Climate

Yadav,

Malav,

Singh

et al. 2023

Sustainability

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“…Rangelands provide forage, water and cover for grazing livestock and wildlife whose socio-economic value is substantial in many countries [2,3]. Globally, the state of rangelands has been threatened by many challenges such as biodiversity loss [4], soil erosion [5], frequent veld fires which destroy habitats [6] and most severely, the encroachment of alien invasive plants [7][8][9]. Alien invasive species typically outcompete indigenous vegetation, often replacing palatable grasses with plants that are poisonous to livestock [10].…”

Section: Introductionmentioning

confidence: 99%

Estimating and Monitoring Land Surface Phenology in Rangelands: A Review of Progress and Challenges

et al. 2021

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Land surface phenology (LSP) has been extensively explored from global archives of satellite observations to track and monitor the seasonality of rangeland ecosystems in response to climate change. Long term monitoring of LSP provides large potential for the evaluation of interactions and feedbacks between climate and vegetation. With a special focus on the rangeland ecosystems, the paper reviews the progress, challenges and emerging opportunities in LSP while identifying possible gaps that could be explored in future. Specifically, the paper traces the evolution of satellite sensors and interrogates their properties as well as the associated indices and algorithms in estimating and monitoring LSP in productive rangelands. Findings from the literature revealed that the spectral characteristics of the early satellite sensors such as Landsat, AVHRR and MODIS played a critical role in the development of spectral vegetation indices that have been widely used in LSP applications. The normalized difference vegetation index (NDVI) pioneered LSP investigations, and most other spectral vegetation indices were primarily developed to address the weaknesses and shortcomings of the NDVI. New indices continue to be developed based on recent sensors such as Sentinel-2 that are characterized by unique spectral signatures and fine spatial resolutions, and their successful usage is catalyzed with the development of cutting-edge algorithms for modeling the LSP profiles. In this regard, the paper has documented several LSP algorithms that are designed to provide data smoothing, gap filling and LSP metrics retrieval methods in a single environment. In the future, the development of machine learning algorithms that can effectively model and characterize the phenological cycles of vegetation would help to unlock the value of LSP information in the rangeland monitoring and management process. Precisely, deep learning presents an opportunity to further develop robust software packages such as the decomposition and analysis of time series (DATimeS) with the abundance of data processing tools and techniques that can be used to better characterize the phenological cycles of vegetation in rangeland ecosystems.

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Analyzing WSTP trend: a new method for global warming assessment

Alamdarloo

Moradi

Abdolshahnejad

et al. 2021

Environ Monit Assess

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Promote the advance of the start of the growing season from combined effects of climate change and wildfire

Cited by 8 publications

References 50 publications

Spatiotemporal Responses of Vegetation to Hydroclimatic Factors over Arid and Semi-arid Climate

Spatiotemporal Responses of Vegetation to Hydroclimatic Factors over Arid and Semi-arid Climate

Estimating and Monitoring Land Surface Phenology in Rangelands: A Review of Progress and Challenges

Analyzing WSTP trend: a new method for global warming assessment

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