scholarly journals Quantifying spatial and temporal vegetation recovery dynamics following a wildfire event in a Mediterranean landscape using EO data and GIS

2014 ◽  
Vol 50 ◽  
pp. 120-131 ◽  
Author(s):  
George P. Petropoulos ◽  
Hywel M. Griffiths ◽  
Dionissios P. Kalivas
Keyword(s):  
Vegetation Recovery ◽  
Mediterranean Landscape ◽  
Recovery Dynamics

scholarly journals The Regenerative Potential of Managed Calluna Heathlands—Revealing Optical and Structural Traits for Predicting Recovery Dynamics

2021 ◽  
Vol 13 (4) ◽  
pp. 625
Author(s):  
Carsten Neumann ◽  
Anne Schindhelm ◽  
Jörg Müller ◽  
Gabriele Weiss ◽  
Anna Liu ◽  
...  
Keyword(s):  
Multivariate Regression ◽  
Habitat Management ◽  
Management Practice ◽  
Low Cost ◽  
Active Management ◽  
Vegetation Recovery ◽  
Textural Features ◽  
Random Forest Regression ◽  
Habitat Conversion ◽  
Recovery Dynamics

The potential of vegetation recovery through resprouting of plant tissue from buds after the removal of aboveground biomass is a key resilience strategy for populations under abrupt environmental change. Resprouting leads to fast regeneration, particularly after the implementation of mechanical mowing as part of active management for promoting open habitats. We investigated whether recovery dynamics of resprouting and the threat of habitat conversion can be predicted by optical and structural stand traits derived from drone imagery in a protected heathland area. We conducted multivariate regression for variable selection and random forest regression for predictive modeling using 50 spectral predictors, textural features and height parameters to quantify Calluna resprouting and grass invasion in before-mowing images that were related to vegetation recovery in after-mowing imagery. The study reveals that Calluna resprouting can be explained by significant optical predictors of mainly green reflectance in parental individuals. In contrast, grass encroachment is identified by structural canopy properties that indicate before-mowing grass interpenetration as starting points for after-mowing dispersal. We prove the concept of trait propagation through time providing significant derivates for a low-cost drone system. It can be utilized to build drone-based decision support systems for evaluating consequences and requirements of habitat management practice.

scholarly journals Internal devaluation and economic inequality in Portugal: challenges to industrial relations in times of crisis and recovery

2021 ◽  
pp. 102425892199500
Author(s):  
Maria da Paz Campos Lima ◽  
Diogo Martins ◽  
Ana Cristina Costa ◽  
António Velez
Keyword(s):  
Collective Bargaining ◽  
Wage Inequality ◽  
Economic Inequality ◽  
Industrial Relations ◽  
National Level ◽  
Wage Share ◽  
Recovery Dynamics ◽  
Wage Increases ◽  
The Impact ◽  
Wage Outcomes

Internal devaluation policies imposed in southern European countries since 2010 have weakened labour market institutions and intensified wage inequality and the falling wage share. The debate in the wake of the financial and economic crisis raised concerns about slow wage growth and persistent economic inequality. This article attempts to shed light on this debate, scrutinising the case of Portugal in the period 2010–2017. Mapping the broad developments at the national level, the article examines four sectors, looking in particular at the impact of minimum wages and collective bargaining on wage trends vis-à-vis wage inequality and wage share trajectories. We conclude that both minimum wage increases and the slight recovery of collective bargaining had a positive effect on wage outcomes and were important in reducing wage inequality. The extent of this reduction was limited, however, by uneven sectoral recovery dynamics and the persistent effects of precarious work, combined with critical liberalisation reforms.

Vegetation recovery alters soil N status in subtropical karst plateau area: Evidence from natural abundance δ15N and δ18O

2021 ◽  
Author(s):  
Jing Wang ◽  
Xuefa Wen ◽  
Sidan Lyu ◽  
Xinyu Zhang ◽  
Shenggong Li ◽  
...  
Keyword(s):  
Natural Abundance ◽  
Vegetation Recovery ◽  
Soil N ◽  
Plateau Area ◽  
N Status

scholarly journals Wildfires Vegetation Recovery through Satellite Remote Sensing and Functional Data Analysis

Mathematics ◽  
2021 ◽  
Vol 9 (11) ◽  
pp. 1305
Author(s):  
Feliu Serra-Burriel ◽  
Pedro Delicado ◽  
Fernando M. Cucchietti
Keyword(s):  
Remote Sensing ◽  
Data Analysis ◽  
Functional Data Analysis ◽  
Functional Data ◽  
Vegetation Index ◽  
Vegetation Recovery ◽  
Functional Responses ◽  
Elapsed Time ◽  
Synthetic Controls ◽  
Available Information

In recent years, wildfires have caused havoc across the world, which are especially aggravated in certain regions due to climate change. Remote sensing has become a powerful tool for monitoring fires, as well as for measuring their effects on vegetation over the following years. We aim to explain the dynamics of wildfires’ effects on a vegetation index (previously estimated by causal inference through synthetic controls) from pre-wildfire available information (mainly proceeding from satellites). For this purpose, we use regression models from Functional Data Analysis, where wildfire effects are considered functional responses, depending on elapsed time after each wildfire, while pre-wildfire information acts as scalar covariates. Our main findings show that vegetation recovery after wildfires is a slow process, affected by many pre-wildfire conditions, among which the richness and diversity of vegetation is one of the best predictors for the recovery.

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