Invasive terrestrial plant species in the Romanian protected areas. A review of the geographical aspects

Grigorescu, Ines; Kucsicsa, Gheorghe; Dumitrașcu, Monica; Doroftei, Mihai

doi:10.2478/foecol-2020-0020

Cited by 10 publications

(9 citation statements)

References 36 publications

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“…Dillis et al 2017 discovered the same thing: Bellucia is a pioneer tree species with rapid growth, the ability to quickly invade forest gaps caused by fallen trees or logging, and the ability to reconstruct forest structure and form a monodominant canopy. As a result of this, Grigorescu et al (2020) say that invasive species help us better understand how driving factors play a role in their spread and spread across different habitats and ecosystems. The diversity of Invasive Plant Species was influenced by environmental factors, especially canopy openness (Wahyuni et al 2016).…”

Section: Estimated Canopy Area and Height Of Bellucia Pentameramentioning

confidence: 99%

Distribution of invasive alien plant species, Bellucia pentamera, in forest conservation of oil palm plantation, West Sumatra, Indonesia

et al. 2022

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Abstract. Solfiyeni, Mukhtar E, Syamsuardi, Chairul. 2022. Distribution of invasive alien plant species, Bellucia pentamera, in forest conservation of oil palm plantation, West Sumatra, Indonesia. Biodiversitas 23: 3667-3674. Bellucia pentamera has been found in disturbed forests across Indonesia, but little is known about how it spreads under its tree canopy. The spread of the invasive plant B. pentamera in the PT KSI conservation forest area was investigated. The goal of this research is to study B. pentamera's strategy for exploiting forest gaps horizontally and vertically on degraded forest vegetation invaded by B. pentamera at various degrees of invasion. An Unmanned Aerial Vehicle (UAV) and direct field mapping are used for the mapping approach. Aerial photographs revealed 40 B. pentamera trees and 32 non-B. pentamera trees in forest areas with varying degrees of B. pentamera invasion (based on the ratio of B. pentamera non-B. pentamera: dense and loose). Bellucia pentamera trees were distributed evenly in a large gap and randomly in a small gap/space between the canopy, whereas sapling and seedling B. pentamera trees were distributed in groups, uniformly and randomly, according to microhabitat conditions under the canopy of B. pentamera and non-tree trees. Bellucia pentamera seedlings and saplings were detected under the parent tree's canopy rather than in the canopy gaps. Different responses were seen in seedlings, saplings, and juvenile stages concerning the explanatory factors investigated and between the two stands. The purpose of the study was to determine the factors that influence the distribution of the B. pentamera species in conservation forest areas with different compositions of existence, both vertically and horizontally, using drones and direct measurements in the field.

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Section: Estimated Canopy Area and Height Of Bellucia Pentameramentioning

confidence: 99%

Distribution of invasive alien plant species, Bellucia pentamera, in forest conservation of oil palm plantation, West Sumatra, Indonesia

et al. 2022

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“…Forest fires can lead to an invasive plant expansion in disturbed sites [53]. The native species in Romania's protected areas have been at risk of several natural and human-induced hazards [54]. Thus, assessing the vulnerability of the protected areas to wildfires is of great concern in Romania.…”

Section: The Vulnerability Of the Romanian Protected Areas To Wildfiresmentioning

confidence: 99%

Utilizing the Available Open-Source Remotely Sensed Data in Assessing the Wildfire Ignition and Spread Capacities of Vegetated Surfaces in Romania

et al. 2021

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We bring a practical and comprehensive GIS-based framework to utilize freely available remotely sensed datasets to assess wildfire ignition probability and spreading capacities of vegetated landscapes. The study area consists of the country-level scale of the Romanian territory, characterized by a diversity of vegetated landscapes threatened by climate change. We utilize the Wildfire Ignition Probability/Wildfire Spreading Capacity Index (WIPI/WSCI). WIPI/WSCI models rely on a multi-criteria data mining procedure assessing the study area’s social, environmental, geophysical, and fuel properties based on open access remotely sensed data. We utilized the Receiver Operating Characteristic (ROC) analysis to weigh each indexing criterion’s impact factor and assess the model’s overall sensitivity. Introducing ROC analysis at an earlier stage of the workflow elevated the final Area Under the Curve (AUC) of WIPI from 0.705 to 0.778 and WSCI from 0.586 to 0.802. The modeling results enable discussion on the vulnerability of protected areas and the exposure of man-made structures to wildfire risk. Our study shows that within the wildland–urban interface of Bucharest’s metropolitan area, there is a remarkable building stock of healthcare, residential and educational functions, which are significantly exposed and vulnerable to wildfire spreading risk.

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“…Forest fires can lead to an invasive plant expansion in disturbed sites 46 . The native species in Romania's protected areas have been at risk of several natural and human-induced hazards 47 . Thus, assessing the vulnerability of the protected areas to wildfires is of great concern in Romania.…”

Section: The Vulnerability Of the Romanian Protected Areas To Wildfiresmentioning

confidence: 99%

A Practical Approach to Assess the Wildfire Ignition and Spreading Capacities of Vegetated Areas at Landscape-scale

Hysa¹,

Spalević²,

Dudić³

et al. 2021

Preprint

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We bring a practical and comprehensive GIS-based framework to utilize freely available remote sensed datasets to assess wildfire ignition probability and spreading capacities of vegetated landscapes. The study area consists of the country-level scale of the Romanian territory, characterized by a diversity of vegetated landscapes threatened by the consequences of climate change. We utilize the Wildfire Ignition Probability/ Wildfire Spreading Capacity Index (WIPI/ WSCI). WIPI/ WSCI models rely on a multi-criteria data mining procedure assessing the social, environmental, geophysical, and fuel properties of the study area based on open access remote sensed data. We utilized the Receiver Operating Characteristic (ROC) analysis to weigh each indexing criterion's impact factor and assess the model's overall sensitivity. Introducing ROC analysis at an earlier stage of the workflow elevated the final Area Under the Curve (AUC) of WIPI from 0.705 to 0.778 and WSCI from 0.586 to 0.802. The modeling results enable discussion on the vulnerability of protected areas and the exposure of man-made structures to wildfire risk. Our study shows that within the wildland-urban interface of Bucharest's metropolitan area, there is a remarkable building stock like healthcare, residential and educational that are significantly exposed to wildfire spreading the risk.

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Invasive terrestrial plant species in the Romanian protected areas. A review of the geographical aspects

Cited by 10 publications

References 36 publications

Distribution of invasive alien plant species, Bellucia pentamera, in forest conservation of oil palm plantation, West Sumatra, Indonesia

Distribution of invasive alien plant species, Bellucia pentamera, in forest conservation of oil palm plantation, West Sumatra, Indonesia

Utilizing the Available Open-Source Remotely Sensed Data in Assessing the Wildfire Ignition and Spread Capacities of Vegetated Surfaces in Romania

A Practical Approach to Assess the Wildfire Ignition and Spreading Capacities of Vegetated Areas at Landscape-scale

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