Long-term Restoration Strategies and Techniques

Vallejo, V. Ramón; Serrasolses, I; Alloza, J.A.; Baeza, M. Jaime; Bladé, Carme; Chirino, Esteban; Duguy, Beatriz; Fuentes, David; Pausas, Juli G.; Valdecantos, Alejandro; Vilagrosa, Alberto

doi:10.1201/9781439843338-c14

Cited by 19 publications

(11 citation statements)

References 47 publications

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“…Nonetheless, fire remains significantly tied to human activity (Leone et al, 2009) often finding humans acting as both initiators and suppressors, thus altering the natural fire regime (Chuvieco et al, 2008;San-Miguel-Ayanz et al, 2013). This may lead to undesired effects on vegetation structure and composition, the modification of soil properties, increased carbon emissions or hindering ecosystem's services (Doerr and Santín, 2016;Román et al, 2013;Vallejo et al, 2009;van der Werf et al, 2010). In this context, Mediterranean Europe outstands as one of the most fire-affected regions globally while being a highly populated territory with ongoing socio-economic changes influencing wildfire activity (Ganteaume et al, 2013;Vilar et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

A comprehensive spatial-temporal analysis of driving factors of human-caused wildfires in Spain using Geographically Weighted Logistic Regression

Rodrígues

Jiménez-Ruano

Peña‐Angulo

et al. 2018

Journal of Environmental Management

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Over the last decades, authorities responsible on forest fire have encouraged research on fire triggering factors, recognizing this as a critical point to achieve a greater understanding of fire occurrence patterns and improve preventive measures. The key objectives of this study are to investigate and analyze spatial-temporal changes in the contribution of wildfire drivers in Spain, and provide deeper insights into the influence of fire features: cause, season and size. We explored several subsets of fire occurrence combining cause (negligence/accident and arson), season (summer-spring and winter-fall) and size (<1 Ha, 1-100 Ha and >100 Ha). The analysis is carried out fitting Geographically Weighted Logistic Regression models in two separate time periods (1988-1992, soon after Spain joined the European Union; and 2006-2010, after several decades of forest management). Our results suggest that human factors are losing performance with climate factors taking over, which may be ultimately related to the success in recent prevention policies. In addition, we found strong differences in the performance of occurrence models across subsets, thus models based on long-term historical fire records might led to misleading conclusions. Overall, fire management should move towards differential prevention measurements and recommendations due to the observed variability in drivers' behavior over time and space, paying special attention to winter fires.

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Section: Introductionmentioning

confidence: 99%

A comprehensive spatial-temporal analysis of driving factors of human-caused wildfires in Spain using Geographically Weighted Logistic Regression

Rodrígues

Jiménez-Ruano

Peña‐Angulo

et al. 2018

Journal of Environmental Management

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“…The main trends of degradation induced by fire in the medium and long term may include permanent changes in the floristic composition of the plant community, reduction of vegetation cover, biomass loss, and alteration of landscape patterns. Forest fires can also induce long-term changes in floristic and physiognomic parameters of vegetation through their impact on the physical and chemical properties and nutrient availability of soil (MMA, 2006;Vallejo et al, 2009). After the burning of vegetation, the contribution of ash to the soil temporarily increases the availability of some nutrients (P, Mg, K, Ca, Na).…”

Section: Introductionmentioning

confidence: 99%

A method for regional-scale assessment of vegetation recovery time after high-severity wildfires

Rodrígues

Ibarra

Echeverría

et al. 2014

Progress in Physical Geography: Earth and Environment

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This study aims to develop a method to estimate the recovery time of plant communities after high-severity wildfires. The designed methodology is based on map algebra and a geographical information system, which enabled calculation of the approximate time required to restore vegetation to conditions similar to pre-fire regarding plant height and canopy cover. The methodology considered, first, the vegetation in the territory, characterized by the structure of the dominant plant community (tree, shrub, or grassland) and its regeneration strategy (resprouter or seeder); and, second, two of the main factors determining recovery time – water availability and soil loss. We also considered the influence of observed rainfall trends over the past 50 years on these latter two factors. The methodology was applied to Spain to test its performance. The results suggest a period of 2 and approximately 100 years for grassland communities and tree communities with low germination, respectively. There are significant differences in plant communities between the two biogeographic regions (Euro-Siberian and Mediterranean) as well as within each community, directly linked to variability in terrain and climatic conditions.

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“…In the last decades, ecological restoration projects have highlighted the use of wood plant species because they increase the structure and complexity of ecosystems and can accelerate the regeneration of degraded environments (Vallejo et al, 2009). Despite the slow growth of woody species can be a problem in erosion control and soil formation in the first years of plant development, the Aleppo pine (Pinus halepensis Miller) has been extensively used in afforestation in the Western Mediterranean Basin because is a fast-growing conifer (Quezel, 2000).…”

Section: Introductionmentioning

confidence: 99%

Opportunistic vegetation in quarry soil restoration from semiarid South East Spain: pines and spontaneous species.

Luna-Ramos

Lázaro

Solé-Benet

2022

Preprint

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The objective was to know the effect of amendments and mulch (pine woodchips) on three planted autochthonous species in two substrates six years after the beginning of the restoration. But because this kind of mulch contained pine cones, pine seedlings appeared after the first year of the restoration; new objectives were added to the initial one: to know if organic amendments influence pine growth among planted vegetation, and if there were competition among planted species, opportunistic species and pines. Essential soil parameters, plant cover and diversity and pine growth were measured and statistically processed with correlation analyses, ANOVA and Detrended Correspondence Analysis. Six years after restoration organic amendments, applied all over the plots contributed significantly to explain the differences on the tested variables. The combined effects of the two substrates and the two organic amendments effectively enhanced soil properties recovery, but they also facilitated the establishment and entry of new species in addition to planted vegetation, driving a differential plant development. The number of pines, as well as their coverage, depended on the interaction between the amendment and the substrate: a) only one amendment favoured the pines and b) the way the amendment works depended on the substrate. Planted vegetation cover and total plant cover from amended plots doubled that of control plots. Results indicate the potential suitability of organic amendments, pine chips mulch and derived opportunistic species for restoring post-mining areas.

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Long-term Restoration Strategies and Techniques

Cited by 19 publications

References 47 publications

A comprehensive spatial-temporal analysis of driving factors of human-caused wildfires in Spain using Geographically Weighted Logistic Regression

A comprehensive spatial-temporal analysis of driving factors of human-caused wildfires in Spain using Geographically Weighted Logistic Regression

A method for regional-scale assessment of vegetation recovery time after high-severity wildfires

Opportunistic vegetation in quarry soil restoration from semiarid South East Spain: pines and spontaneous species.

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