scholarly journals Vegetation Recovery Process of Quercus serrate Forest after Clear-cuttings

1996 ◽  
Vol 60 (5) ◽  
pp. 535-538
Author(s):  
Takehiko Suzuki ◽  
Kazuhiro Katoh
Keyword(s):  
Recovery Process ◽  
Vegetation Recovery

scholarly journals Niche construction mediates climate effects on recovery of tundra heathlands after extreme event

PLoS ONE ◽  
2021 ◽  
Vol 16 (2) ◽  
pp. e0245929
Author(s):  
Victoria T. González ◽  
Bente Lindgård ◽  
Rigmor Reiersen ◽  
Snorre B. Hagen ◽  
Kari Anne Bråthen
Keyword(s):  
Extreme Events ◽  
Niche Construction ◽  
Extreme Event ◽  
Recovery Process ◽  
Vegetation Recovery ◽  
Allelopathic Effect ◽  
Climatic Gradient ◽  
Soil Environment ◽  
Ecosystem Recovery ◽  
Continental Climate

Climate change is expected to increase the frequency and intensity of extreme events in northern ecosystems. The outcome of these events across the landscape, might be mediated by species effects, such as niche construction, with likely consequences on vegetation resilience. To test this hypothesis, we simulated an extreme event by removing aboveground vegetation in tundra heathlands dominated by the allelopathic dwarf shrub Empetrum nigrum, a strong niche constructor. We tested the hypothesis under different climate regimes along a 200-km long gradient from oceanic to continental climate in Northern Norway. We studied the vegetation recovery process over ten years along the climatic gradient. The recovery of E. nigrum and subordinate species was low and flattened out after five years at all locations along the climatic gradient, causing low vegetation cover at the end of the study in extreme event plots. Natural seed recruitment was low at all sites, however, the addition of seeds from faster growing species did not promote vegetation recovery. A soil bioassay from 8 years after the vegetation was removed, suggested the allelopathic effect of E. nigrum was still present in the soil environment. Our results provide evidence of how a common niche constructor species can dramatically affect ecosystem recovery along a climatic gradient after extreme events in habitats where it is dominant. By its extremely slow regrowth and it preventing establishment of faster growing species, this study increases our knowledge on the possible outcomes when extreme events harm niche constructors in the tundra.

scholarly journals Remote Sensing of Wildfire Using a Small Unmanned Aerial System: Post-Fire Mapping, Vegetation Recovery and Damage Analysis in Grand Bay, Mississippi/Alabama, USA

Drones ◽  
2019 ◽  
Vol 3 (2) ◽  
pp. 43 ◽  
Author(s):  
Sathishkumar Samiappan ◽  
Lee Hathcock ◽  
Gray Turnage ◽  
Cary McCraine ◽  
Jonathan Pitchford ◽  
...  
Keyword(s):  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Cost Effective ◽  
Recovery Process ◽  
Turnaround Time ◽  
Coastal Marsh ◽  
Vegetation Recovery ◽  
Burned Area ◽  
Surface Model ◽  
Unmanned Aerial System

Wildfires can be beneficial for native vegetation. However, wildfires can impact property values, human safety, and ecosystem function. Resource managers require safe, easy to use, timely, and cost-effective methods for quantifying wildfire damage and regeneration. In this work, we demonstrate an approach using an unmanned aerial system (UAS) equipped with a MicaSense RedEdge multispectral sensor to classify and estimate wildfire damage in a coastal marsh. We collected approximately 7.2 km2 of five-band multispectral imagery after a wildfire event in February 2016, which was used to create a photogrammetry-based digital surface model (DSM) and orthomosaic for object-based classification analysis. Airborne light detection and ranging data were used to validate the accuracy of the DSM. Four-band airborne imagery from pre- and post-fire were used to estimate pre-fire health, post-fire damage, and track the vegetation recovery process. Immediate and long-term post-fire classifications, area, and volume of burned regions were produced to track the revegetation progress. The UAS-based classification produced from normalized difference vegetation index and DSM was compared to the Landsat-based Burned Area Reflectance Classification. Experimental results show the potential of using UAS and the presented approach compared to satellite-based mapping in terms of classification accuracies, turnaround time, and spatial and temporal resolutions.

Evaluation of spectral indices for estimating burn severity in semiarid grasslands

2016 ◽  
Vol 25 (2) ◽  
pp. 147 ◽  
Author(s):  
Bing Lu ◽  
Yuhong He ◽  
Alexander Tong
Keyword(s):  
Native Species ◽  
Landsat Imagery ◽  
Recovery Process ◽  
Fire Disturbance ◽  
Burn Severity ◽  
Vegetation Recovery ◽  
Grass Species ◽  
Burned Area ◽  
Spectral Indices ◽  
Landsat Images

Using Landsat imagery, this study was conducted to evaluate a fire disturbance that occurred in Canada’s Grasslands National Park on 27 April 2013. We used spectral indices (e.g. Normalised Burn Ratio (NBR) and Mid-infrared Burn Index (MIRBI)) derived from Landsat images to evaluate burn severity and to analyse the vegetation recovery process. A field survey was conducted to assess burn severity, which we used to evaluate the performance of spectral indices. Responses of the vegetation community to the fire disturbance were also investigated during the field campaign. Results show that the selected spectral indices performed differently for evaluating burn severity, but MIRBI performed best, likely due to its ability to discriminate post-fire residuals. Severely burned areas were distributed along a river where a larger amount of senesced biomass had accumulated before the fire. The semiarid grasslands showed a strong resilience to fire disturbance, and vegetation recovery was likely influenced by burn severity and water availability. Different vegetation types (e.g. grass, trees and shrubs) had distinct recovery rates and, thus, fire influences plant community development. The fire disturbance changed the composition of grass species in the burned area and also promoted invasion by non-native species.

scholarly journals Post-fire vegetation recovery in Portugal based on spot/vegetation data

2010 ◽  
Vol 10 (4) ◽  
pp. 673-684 ◽  
Author(s):  
C. Gouveia ◽  
C. C. DaCamara ◽  
R. M. Trigo
Keyword(s):  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Soil Surface ◽  
Recovery Process ◽  
Vegetation Recovery ◽  
Fire Season ◽  
Burned Area ◽  
Vegetation Density ◽  
Fire Event ◽  
Central Portugal

Abstract. A procedure is presented that allows identifying large burned scars and the monitoring of vegetation recovery in the years following major fire episodes. The procedure relies on 10-day fields of Maximum Value Composites of Normalized Difference Vegetation Index (MVC-NDVI), with a 1 km×1 km spatial resolution obtained from the VEGETATION instrument. The identification of fire scars during the extremely severe 2003 fire season is performed based on cluster analysis of NDVI anomalies that persist during the vegetative cycle of the year following the fire event. Two regions containing very large burned scars were selected, located in Central and Southwestern Portugal, respectively, and time series of MVC-NDVI analysed before the fire events took place and throughout the post-fire period. It is shown that post-fire vegetation dynamics in the two selected regions may be characterised based on maps of recovery rates as estimated by fitting a monoparametric model of vegetation recovery to MVC-NDVI data over each burned scar. Results indicated that the recovery process in the region located in Central Portugal is mostly related to fire damage rather than to vegetation density before 2003, whereas the latter seems to have a more prominent role than vegetation conditions after the fire episode, e.g. in the case of the region in Southwestern Portugal. These differences are consistent with the respective predominant types of vegetation. The burned area located in Central Portugal is dominated by Pinus Pinaster whose natural regeneration crucially depends on the destruction of seeds present on the soil surface during the fire, whereas the burned scar in Southwestern Portugal was populated by Eucalyptus that may quickly re-sprout from buds after fire. Besides its simplicity, the monoparametric model of vegetation recovery has the advantage of being easily adapted to other low-resolution satellite data, as well as to other types of vegetation indices.

scholarly journals Forest vegetation recovery process on a landslided hillslope for 75 years in Nakanosawa watershed, the western Tanzawa

2006 ◽  
Vol 32 (1) ◽  
pp. 171-176 ◽  
Author(s):  
Ituro ISHIGAKI ◽  
Nobuko HIRUMA ◽  
Waka OHKAWA ◽  
Norimasa MATUZAKI ◽  
Kazutoki ABE ◽  
...  
Keyword(s):  
Recovery Process ◽  
Forest Vegetation ◽  
Vegetation Recovery

scholarly journals POTENSI PERMUDAAN SEMAI PADA HUTAN YANG DIKELOLA DENGAN SISTEM SILVIKULTUR TPTJ DI KALIMANTAN TENGAH Entitled Potential for Nature Seedling Regeneration in The Forest that Managed by Silviculture System of TPTJ in Central Kalimantan

2019 ◽  
Vol 9 (2) ◽  
pp. 127-133
Author(s):  
Prijanto Pamoengkas ◽  
Ahmad Iyyannanda Fatir Assifa
Keyword(s):  
Forest Management ◽  
Diversity Index ◽  
Recovery Process ◽  
Vegetation Recovery ◽  
Seedling Regeneration ◽  
Management Activity ◽  
Selective Cutting ◽  
Central Kalimantan ◽  
The Family ◽  
Is Value

Forest management activity wich applied selective cutting with line planting (TPTJ) caused disturbed on forest, especially due to the process of making the planting lines. Natural forest gives respond to disturbance by recovery of its vegetation. This research aimed to measure the potential seedlings by vegetation recovery process in logged over area and determine both of the diversity and evenness of communities. The result showed that the composition of the seedlings at the begining of a recovery in the cropping were not only pioneer, but also kinds of Dipterocarpaceae and non-Dipterocarpaceae. The entire lines is dominated by the pioneers types, such as: Macaranga gigantea, Ganua glaberrima, Aporosa apriniana and Polyalthia rumphii. The family with the most number of types found namely: Phyllanthaceae, Myrtaceae and Dipterocarpaceae. The value of diversity index all of community belongs to moderate ( 2 < H’ < 3) and value equity (e’) belongs to high. The entire community of between the lines have low IS value wich its IS < 50% that means tampering with the seedling in each line has a significant different due to the forest examined was divided into several blocks of high fells.Keywords : climax, diversity, equity, pioneer, selective cutting with line planting

scholarly journals PROCESSO DE RECUPERAÇÃO DE VEGETAÇÃO EM ÁREAS DE PRESERVAÇÃO PERMANENTE NO SUDESTE DO PARÁ / VEGETATION RECOVERY PROCESS IN PERMANENT PRESERVATION AREAS IN SOUTHEAST PARÁ

2021 ◽  
Vol 7 (3) ◽  
pp. 26327-26340
Author(s):  
Marcia Aparecida Miranda de Azevedo ◽  
Vanessa Mendes Marques ◽  
Rafael Barros de Souza ◽  
Fábia Maria de Souza ◽  
Ana Carolina Moraes Reis ◽  
...  
Keyword(s):  
Recovery Process ◽  
Vegetation Recovery

The application of geospatial techniques in monitoring karst vegetation recovery in southwest China

2017 ◽  
Vol 41 (4) ◽  
pp. 450-477 ◽  
Author(s):  
Chunhua Zhang ◽  
Xiangkun Qi ◽  
Kelin Wang ◽  
Mingyang Zhang ◽  
Yueming Yue
Keyword(s):  
Vegetation Dynamics ◽  
Landscape Heterogeneity ◽  
Global Climate ◽  
Recovery Process ◽  
Vegetation Recovery ◽  
Karst Region ◽  
Chinese Government ◽  
Karst Rocky Desertification ◽  
Rocky Desertification ◽  
Geospatial Techniques

The karst region in southwestern China, one of the largest continuous karst areas in the world, is special for its high landscape heterogeneity, unique hydrology, high endemism among vegetation species and high intensity of human disturbance. The region had experienced severe degradation through karst rocky desertification (KRD) between the 1950s and 1990s. Starting in the late 1990s, various levels of the Chinese government conducted several ecological projects to recover degraded karst ecosystems. It was reported that the implementation of these projects had been successful in facilitating the recovery of karst vegetation in many areas. However, global climate changes may compromise the efficacy of recovery. Geospatial techniques had been employed to map and monitor karst ecosystem conditions during the recovery process. We examined the history and progress of the various geospatial techniques applied to monitor and evaluate karst vegetation conditions. In addition, we reviewed the techniques used to assess and monitor KRD, KRD influencing factors, vegetation community type, fractional vegetation cover, vegetation dynamics, vegetation productivity, ecosystem goods and services, vegetation biodiversity, ecosystem health and rural society changes. We also explored the potential to apply geospatial techniques for karst vegetation recovery in the future. It is projected that there will be more remotely sensed images for the vegetation dynamics monitoring at numerous scales. New techniques (e.g. image fusion and data assimilation) will be available to manage scale and heterogeneity issues in the karst landscape.

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