The greening effect characterized by the Normalized Difference Vegetation Index was not coupled with phenological trends and tree growth rates in eight protected mountains of central Mexico

Correa-Díaz, Arián; Sánchez, Martín Enrique Romero; Villanueva‐Díaz, José

doi:10.1016/j.foreco.2021.119402

Cited by 12 publications

(9 citation statements)

References 79 publications

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“…But vegetation response to global warming and rising atmospheric CO 2 concentration is strongly coupled to regional climatic feedbacks and topographic variables (Forzieri et al, 2017 ; Myers-Smith et al, 2020 ; Piao et al, 2020 ). Anthropogenic forcing of spectral greening trends can regionally be linked to intensified land use, forest management (Chen et al, 2019 ; Correa-Díaz et al, 2021 ; de Jong et al, 2012 ; Piao et al, 2020 ), or even land abandonment (Kolecka, 2021 ). Particularly, crop production, which accounts for over one-third of the green-leaf area increase, highlights the spatial and seasonal variability of global greening trends (Chen et al, 2019 ; Winkler et al, 2021 ).…”

Section: Introductionmentioning

confidence: 99%

Enhanced trends in spectral greening and climate anomalies across Europe

Kempf

2023

Environ Monit Assess

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Europe witnessed a strong increase in climate variability and enhanced climate-induced extreme events, such as hot drought periods, mega heat waves, and persistent flooding and flash floods. Intensified land degradation, land use, and landcover changes further amplified the pressure on the environmental system functionalities and fuelled climate change feedbacks. On the other hand, global satellite observations detected a positive spectral greening trend—most likely as a response to rising atmospheric CO2 concentrations and global warming. But which are the engines behind such shifts in surface reflectance patterns, vegetation response to global climate changes, or anomalies in the environmental control mechanisms? This article compares long-term environmental variables (1948–2021) to recent vegetation index data (Normalized Difference Vegetation Index (NDVI), 2001–2021) and presents regional trends in climate variability and vegetation response across Europe. Results show that positive trends in vegetation response, temperature, rainfall, and soil moisture are accompanied by a strong increase in climate anomalies over large parts of Europe. Vegetation dynamics are strongly coupled to increased temperature and enhanced soil moisture during winter and the early growing season in the northern latitudes. Simultaneously, temperature, precipitation, and soil moisture anomalies are strongly increasing. Such a strong amplification in climate variability across Europe further enhances the vulnerability of vegetation cover during extreme events.

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Section: Introductionmentioning

confidence: 99%

Enhanced trends in spectral greening and climate anomalies across Europe

Kempf

2023

Environ Monit Assess

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“…The generalised persistent stress caused by climate change could explain high tree mortality events at a global scale (Allen et al ., 2010). It could also be linked to a browning trend observed in pantropical forests since the mid‐1990s (Krishnaswamy, John & Joseph, 2014), or the contrasting greening trend during the past 20 years in central Mexico (Correa‐Díaz, Romero‐Sánchez & Villanueva‐Díaz, 2021). Such large‐scale vegetation changes can further boost rising temperatures by altering the forests' albedo effect (Doughty et al ., 2018) and render plant communities more susceptible to droughts.…”

Section: Resultsmentioning

confidence: 99%

Impacts of anthropogenic climate change on tropical montane forests: an appraisal of the evidence

et al. 2023

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In spite of their small global area and restricted distributions, tropical montane forests (TMFs) are biodiversity hotspots and important ecosystem services providers, but are also highly vulnerable to climate change. To protect and preserve these ecosystems better, it is crucial to inform the design and implementation of conservation policies with the best available scientific evidence, and to identify knowledge gaps and future research needs. We conducted a systematic review and an appraisal of evidence quality to assess the impacts of climate change on TMFs. We identified several skews and shortcomings. Experimental study designs with controls and long-term (≥10 years) data sets provide the most reliable evidence, but were rare and gave an incomplete understanding of climate change impacts on TMFs. Most studies were based on predictive modelling approaches, short-term (<10 years) and cross-sectional study designs. Although these methods provide moderate to circumstantial evidence, they can advance our understanding on climate change effects. Current evidence suggests that increasing temperatures and rising cloud levels have caused distributional shifts (mainly upslope) of montane biota, leading to alterations in biodiversity and ecological functions. Neotropical TMFs were the best studied, thus the knowledge derived there can serve as a proxy for climate change responses in under-studied regions elsewhere. Most studies focused on vascular plants, birds, amphibians and insects, with other taxonomic groups poorly represented. Most ecological studies were conducted at species or community levels, with a marked paucity of genetic studies, limiting understanding of the adaptive capacity of TMF biota. We thus highlight the long-term need to widen the methodological, thematic and geographical scope of studies on TMFs under climate change to address these uncertainties. In the short term, however, in-depth research in well-studied regions and advances in computer modelling approaches offer the most reliable sources of information for expeditious conservation action for these threatened forests.

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“…Two levels of elevation and aspect were considered to better capture the variation in the landscape and test our method. The NDVI variation is related to the growing season and can be useful in detecting whether extended periods of tree growth are occurring [17]. The hypotheses proposed were: (i) there are statistically significant correlations between standardized tree-ring measurements and the NDVI, and (ii) annual and seasonal variations in NDVI are different at the two studied locations, TLA and JOCO.…”

Section: Introductionmentioning

confidence: 99%

Short-Term Tree-Ring Series of Pinus hartwegii Lindl. Taken at Ground Level Correlate to Normalized Difference Vegetation Index Series

Montoya-Jiménez,

Gómez-Guerrero,

Pedraza-Oropeza

et al. 2024

Forests

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In this work, we propose that small wood core samples (≤10 cm length), taken from 0.3 m above the soil, represent an accurate means of correlating forest growth with remote sensing data. Short-term correlations between the Normalized Difference Vegetation Index (NDVI) and tree-ring components of the last three to four decades were tested, using 210 Pinus hartwegii wood cores collected at two locations, Tláloc (TLA) and Jocotitlán (JOCO) in central Mexico. The NDVI time series were generated with the Google Earth Engine (GEE) using Landsat 8 images. Also, seasonal trends in NDVI (e.g., spring, summer, autumn, winter) were analyzed through longitudinal analysis. The results showed more statistically significant dendrochronological indices in TLA than in JOCO, but both locations consistently showed an NDVI decrease in 2018 and 2020, indicating a reduction in vegetation vigor. At the two locations, the minimum and maximum NDVI occurred in April and October, respectively. Seasonal NDVI changes for spring were mainly seen at TLA with a decreasing trend, which may be related to a less defined dry season. The significant correlations (p < 0.05) between tree-ring components and the NDVI occurred in the dry season, indicating that the productivity of a given year is defined by the tree vigor shown in April and May, in the case of TLA, and between January and March, for JOCO. Although the NDVI values of JOCO were higher than those of TLA, tree growth, expressed by tree-ring indices, was lower. Our proposed field method to correlate tree-ring information and the NDVI is reliable and can be used in other coniferous forests.

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The greening effect characterized by the Normalized Difference Vegetation Index was not coupled with phenological trends and tree growth rates in eight protected mountains of central Mexico

Cited by 12 publications

References 79 publications

Enhanced trends in spectral greening and climate anomalies across Europe

Enhanced trends in spectral greening and climate anomalies across Europe

Impacts of anthropogenic climate change on tropical montane forests: an appraisal of the evidence

Short-Term Tree-Ring Series of Pinus hartwegii Lindl. Taken at Ground Level Correlate to Normalized Difference Vegetation Index Series

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