Modelling aboveground biomass and productivity and the impact of climate change in Mediterranean forests of South Spain

Herraiz, Aurelio D.; Salazar-Zarzosa, Pablo César; Mesas, Francisco Javier; Arenas-Castro, Salvador; Ruiz-Benito, Paloma; Villar, Rafael

doi:10.1016/j.agrformet.2023.109498

Cited by 4 publications

(1 citation statement)

References 92 publications

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“…Beyond deforestation detection, RS techniques have contributed to assessing forest degradation. This includes the estimation of canopy cover loss [18], biomass reduction [19], and fragmentation analysis using RS-derived metrics [20]. Through the integration of RS with field data and ground-based measurements, researchers have been able to quantify the ecological impacts of deforestation and highlight areas at high risk of degradation.…”

Section: Introductionmentioning

confidence: 99%

Characterization of Two Main Forest Cover Loss Transitions in North Korea from 1990 to 2020

Jin,

Zhu,

Cui

et al. 2023

Forests

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This study aims to characterize forest cover transitions in North Korea and identify deforested areas that are degraded or at risk of degradation. We used phenological information and random forest classifiers to perform a deforestation classification. We then extracted the two main forest cover loss patterns, sloping farmland (farmland with slope greater than 6 degrees) and unstocked forest (crown cover less than 20%), for the years of 2000, 2010, and 2020. Based on the deforestation map of each year, we analyzed the deforestation dynamics from 1990 to 2020. Forests showed decreases in cover by 27% over the 30-year study period and accounted for 41.5% of the total land area in 2020. Deforestation spread into the core area, which led to severe shrinkage and fragmentation of forests. Unstocked forest and sloping farmland experienced the highest rates of loss among the forestland uses and accounted for 48.9% and 39.3% of the total loss over the study period, respectively. During the study period, 25,128 km2, 5346 km2, and 6728 km2 of forestland was cleared, degraded, and was at risk of degradation or barrenness by artificial repeated fires, respectively. This methodological framework provides a valuable template for areas that are difficult to access, and the deforestation dynamics results can provide a basis for conservation and sustainable management of forest resources.

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Section: Introductionmentioning

confidence: 99%

Characterization of Two Main Forest Cover Loss Transitions in North Korea from 1990 to 2020

Jin,

Zhu,

Cui

et al. 2023

Forests

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Joint multiscale dynamics in soil–vegetation–atmosphere systems: Multifractal cross‐correlation analysis of arid and semiarid rangelands

Sanz,

Almeida‐Ñaulay,

Díaz‐Ambrona

et al. 2024

Vadose Zone Journal

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Understanding the dynamics of the soil–vegetation–atmosphere (SVA) system, particularly in arid and semiarid regions, remains challenging due to its intricate and interdependent nature. This system creates problems for rangeland administration, such as insurance and risk management. This paper focuses on the complex interactions within the SVA system, particularly on rangeland ecosystems in Spain's semiarid and arid regions. By employing multifractal detrended cross‐correlation analysis (MFCCA), we explore the joint behavior of key variables, including precipitation (PCP), evapotranspiration (ETP), aridity index (Arid. I.), soil water availability (SWA), biomass (Bio), and normalized difference vegetation index (NDVI). Analyzing a 20‐year data series from Madrid and Almeria provinces, we reveal distinct patterns in the studied variables’ persistence, multifractality, and asymmetry. Notably, the differences in the generalized Hurst exponents ((q)) between Madrid and Almeria for SWA with NDVI, SWA with Bio, and NDVI with Bio underscore distinct interactions in these regions. Moreover, multifractal analyses unveil differences in the complexity of joint variables’ behaviors in the two regions. Almeria exhibits higher multifractality across variables, indicating more complex and variable environmental interactions, likely due to its more arid conditions. These findings suggest that Almeria has more sensitivity to changes, requiring adaptive management strategies, while in Madrid, water availability and related variables play a more dominant role in driving vegetation dynamics. These findings shed light through MFCCA on the nuanced dynamics of rangeland ecosystems in semiarid and arid regions, emphasizing the importance of considering complexity‐based approaches to understand the intricate interplay among key variables in the SVA system.

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A comparative analysis of machine learning techniques for aboveground biomass estimation: A case study of the Western Ghats, India

Ayushi,

Babu,

Ayyappan

et al. 2024

Ecological Informatics

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Modelling aboveground biomass and productivity and the impact of climate change in Mediterranean forests of South Spain

Cited by 4 publications

References 92 publications

Characterization of Two Main Forest Cover Loss Transitions in North Korea from 1990 to 2020

Characterization of Two Main Forest Cover Loss Transitions in North Korea from 1990 to 2020

Joint multiscale dynamics in soil–vegetation–atmosphere systems: Multifractal cross‐correlation analysis of arid and semiarid rangelands

A comparative analysis of machine learning techniques for aboveground biomass estimation: A case study of the Western Ghats, India

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