scholarly journals A screening system to predict wildfire risk of invasive plants

Author(s):  
Kevin Faccenda ◽  
Curtis C. Daehler

AbstractGlobally, invasive plant-fueled wildfires have tremendous environmental, economical, and societal impacts, and the frequencies of wildfires and plant invasions are on an upward trend globally. Identifying which plant species tend to increase the frequency or severity of wildfire is important to help manage their impacts. We developed a screening system to identify introduced plant species that are likely to increase wildfire risk, using the Hawaiian Islands to test the system and illustrate how the system can be applied to inform management decisions. Expert-based fire risk scores derived from field experiences with 49 invasive species in Hawai′i were used to train a machine learning model that predicts expert fire risk scores from among 21 plant traits obtained from literature and databases. The model revealed that just four variables can identify species categorized as higher fire risk by experts with 90% accuracy, while low risk species were identified with 79% accuracy. We then used the predictive model to screen > 140 recently naturalized plants in Hawai′i to illustrate how the screening tool can be applied. The screening tool identified a managebly small set of species (6% of naturalizations in the last ~ 10 years) that are likely to pose a high fire risk and can be targeted for eradication or containment to reduce future wildfire risks. Because the screening system uses general plant traits that are likely relevant to fire risk in drylands around the world, it can likely be applied with minimal modification to other regions where invasive plants pose potential fire risks.

2017 ◽  
Vol 4 (1) ◽  
pp. 148-160
Author(s):  
Arjun C.P ◽  
Anoop V.K ◽  
Tijo K.J ◽  
Anoopkumar T.K ◽  
Roshnath R

Butterfly diversity was recorded from Nov (2013) - May (2014) in Pookode region. A total number of 128 species recorded from the five families; Nymphalidae (46 species) Lycaenidae (28 species), Hesperiidae (22 species), Pieridae (17 species) and Papilionidae (15 species) respectively. During the survey invasive plant species were also recorded. There were 36 species of invasive plants from 18 families identified from the study area. More butterflies were attracted towards nectar offering invasive plants. Chromolaena odorata, Ipomea cairica, Lantana camara, Merremia vitifolia, Mikania micrantha, Mimosa diplotricha, Pennisetumpolystachyon, Pteridium aquilinum, Quisqualis indica and Sphagneticola trilobata were the major invasive plants found in the Pookode region and their flower attracts butterfly for pollination. Even though nectar offered by the plants are supportive for growth, in long run these species can affect butterfly population bydeclining native host larval plant species for butterfly reproduction. Invasive species compete with the native flora and reduce its population. Management practices like physical, chemical and modern bio control measures could be used for eradicating of invasive plants. Wise use of invasive plants for other economical purpose such as bio-fuel, medicinal purpose, bio-pesticide and handicraft could be suggested. Successful management of invasive species are needed for conserving Lepidoptera fauna and other native biota of the area.


2020 ◽  
pp. 27-46
Author(s):  
Anja Kalinic ◽  
Ivana Bjedov ◽  
Dragica Obratov-Petkovic ◽  
Jelena Tomicevic-Dubljevic

The floristic diversity of Deliblato sands SNR is significantly endangered by the spread of invasive plants. In addition to field research, which included the collection of plant material in the area of Deliblato sands SNR, primary and secondary data was collected in this paper. The primary data for the purposes of this study was obtained by applying a questionnaire technique to the management of the protected area - PE ?Vojvodinasume? and an expert interview technique to a representative of the Provincial Institute for Nature Conservation. The secondary data was collected to gain a better and broader understanding of the management of Deliblato sands SNR. Based on the field investigations, the analysis of primary and secondary data on invasive plant species was also recognized as a key threatening factor. An analysis of the floristic structure and composition of these plant species, their origin, as well as the manner of their propagation and reproduction was carried out, in order to make a recommendation on the preventive measures for the protection and suppression of invasive plant species and to improve the habitat. In the area of Deliblato sands SNR, 39 invasive plant species (4,33% of the total flora) were found with different invasiveness categories, among which herbaceous, annual, North American species from the Compositae family prevail. Protection measures include the mapping of habitats of invasive species, establishing cooperation with managers and scientific institutions, constant monitoring of endangered habitats and plant species, as well as the creation of a special sector responsible for enhancing biodiversity.


Author(s):  
Johannes J. le Roux

Abstract Microbes are omnipresent, yet their interactions with invasive plants remain understudied. This is surprising, given the importance of microbes in plant community ecology and their influence on plant performance in new environments. Recent advances in molecular genetic approaches have opened the door to studying this unseen majority in great detail and to understand how they fit into ecological interaction networks. Molecular approaches allow rapid assessments of microbial diversity at reasonable cost while providing both taxonomic and evolutionary information. Here I discuss how these approaches have contributed to a better understanding of plant-microbial interactions in the context of biological invasions. By drawing insights from various case studies, I illustrate how next-generation sequencing (DNA barcoding) has revolutionized the way we understand such interactions. Tight-knit and coevolved mutualist (e.g. mycorrhizal) and antagonist (e.g. pathogen) interactions appear particularly promising to understand the structure and function of invasive plant-microbial interaction networks, the impacts of invasive plants on native networks and the vulnerability of native networks to infiltration by non-native species. I also discuss novel ways in which molecular data can aid the study of invasive plant-microbial interactions, such as incorporating phylogenetic data into network analyses to better understand the role of evolutionary history in network dynamics and how such dynamics respond to plant invasions. DNA barcoding of microbes also presents unique challenges to the study of network ecology, such as uncertainty in the legitimacy and efficiency of interactions. Future research should incorporate overall plant-associated microbial communities (microbiomes) into interaction networks to better understand the role microbes play during plant invasions.


2010 ◽  
Vol 3 (4) ◽  
pp. 390-401 ◽  
Author(s):  
Michael T. Daab ◽  
Courtney G. Flint

AbstractInvasive plant species degrade ecosystems in many ways. Controlling invasive plants is costly for government agencies, businesses, and individuals. North central Colorado is currently experiencing large-scale disturbance, and millions of acres are vulnerable to invasion because of natural and socioeconomic processes. Mountain pine beetles typically endemic to this region have reached epidemic proportions, with up to 80% tree mortality, which opens growing space for invasive plants. In socioeconomic terms, the popularity of this amenity-rich region for tourists and in-migrants has resulted in increased development, often bordering the public land that is common in the American West. Increased recreational access and the construction of new roads and infrastructure disturb ecosystems in an increasingly fragmented landscape. A survey was mailed to more than 4,000 households in a five-county region of north central Colorado to gauge public awareness and attitudes regarding invasive plant species, helping to illuminate whether the public shows a capacity to help land managers detect and respond to invasive plants before they profoundly alter the local ecosystem. Although 88% of respondents had heard or read about invasive plant species, far fewer were familiar with specific, locally targeted species, and fewer still had taken any action to control these species. The overall awareness and concern about invasive plants in the area indicated a capacity for more public participation in management.


2012 ◽  
Vol 5 (3) ◽  
pp. 375-389 ◽  
Author(s):  
A. Paige Fischer ◽  
Susan Charnley

We investigated nonindustrial private forest (NIPF) owners' invasive plant risk perceptions and mitigation practices using statistical analysis of mail survey data and qualitative analysis of interview data collected in Oregon's ponderosa pine zone. We found that 52% of the survey sample was aware of invasive plant species considered problematic by local natural resource professionals; 70% was concerned about these species; and 46% had treated invasive plants on their parcels. Owners' perceptions of invasive plant risks fell along a spectrum ranging from a lack of awareness or concern, to the view that invasive plant infestations have discrete causes and controllable consequences, to the perception that incursions by invasive plants have diffuse causes and uncontrollable effects. Being aware or concerned about invasive plant species were predictors (p ≤ 0.001) of whether owners treat their parcels to control invasive plants. Holding wildlife habitat and/or biodiversity as an important forest management goal was also a predictor (p ≤ 0.08) of whether owners treated their parcels to control invasive plants. Some owners were sensitive to the risks of invasive plant infestations from nearby properties, and a surprisingly high percentage of respondents had cooperated with others in forest management activities previously. Our findings suggest three approaches to increasing the frequency of invasive plant mitigation by NIPF owners that hold promise: (1) raising awareness and concern about invasive plants and their impacts on forest management goals that owners care about, such as wildlife habitat and/or biodiversity; (2) providing assistance to help owners mitigate invasive plants they feel unable to control; and (3) engaging owners in coordinated efforts across ownership boundaries to address invasive plant risks.


Author(s):  
Jana Müllerová ◽  
Josef Brůna ◽  
Petr Dvořák ◽  
Tomáš Bartaloš ◽  
Michaela Vítková

Invasive plant species represent a serious threat to biodiversity and landscape as well as human health and socio-economy. To successfully fight plant invasions, new methods enabling fast and efficient monitoring, such as remote sensing, are needed. In an ongoing project, optical remote sensing (RS) data of different origin (satellite, aerial and UAV), spectral (panchromatic, multispectral and color), spatial (very high to medium) and temporal resolution, and various technical approaches (object-, pixelbased and combined) are tested to choose the best strategies for monitoring of four invasive plant species (giant hogweed, black locust, tree of heaven and exotic knotweeds). In our study, we address trade-offs between spectral, spatial and temporal resolutions required for balance between the precision of detection and economic feasibility. For the best results, it is necessary to choose best combination of spatial and spectral resolution and phenological stage of the plant in focus. For species forming distinct inflorescences such as giant hogweed iterative semi-automated object-oriented approach was successfully applied even for low spectral resolution data (if pixel size was sufficient) whereas for lower spatial resolution satellite imagery or less distinct species with complicated architecture such as knotweed, combination of pixel and object based approaches was used. High accuracies achieved for very high resolution data indicate the possible application of described methodology for monitoring invasions and their long-term dynamics elsewhere, making management measures comparably precise, fast and efficient. This knowledge serves as a basis for prediction, monitoring and prioritization of management targets.


2020 ◽  
Vol 8 (3) ◽  
pp. 351
Author(s):  
Bina Swasta Sitepu

Historically, and based on the latest conditions, Samboja Research Forest has a fairly high vulnerability to the presence of invasive species that can interfere with ecosystem stability and forest succession. However, data collection and risk assessment of invasive species have not been conducted in the forest area. The study was carried out to support the management of Samboja Research Forest, particularly in controlling invasive species. The study was conducted with exploration techniques in open areas, secondary forests, and primary forests. The density and frequency data of invasive plants were obtained using random plots in secondary and primary forest areas. The results showed the presence of 52 invasive plant species in the Samboja Research Forest area with dominance by shrubs and herbs. Based on plants distribution and density, four crucial invasive plant species in Samboja Research Forest were identified, namely: Acacia mangium, Spathodea campanulata, Miconia crenata, and Piper aduncum. The management of invasive species was carried out in two stages, short term, through manual weeding, and in the long term, with the prevention, eradication, and periodic risk assessment.Keywords: invasive alien species, Kalimantan, eradication, Spathodea campanulata


Author(s):  
Jana Müllerová ◽  
Josef Brůna ◽  
Petr Dvořák ◽  
Tomáš Bartaloš ◽  
Michaela Vítková

Invasive plant species represent a serious threat to biodiversity and landscape as well as human health and socio-economy. To successfully fight plant invasions, new methods enabling fast and efficient monitoring, such as remote sensing, are needed. In an ongoing project, optical remote sensing (RS) data of different origin (satellite, aerial and UAV), spectral (panchromatic, multispectral and color), spatial (very high to medium) and temporal resolution, and various technical approaches (object-, pixelbased and combined) are tested to choose the best strategies for monitoring of four invasive plant species (giant hogweed, black locust, tree of heaven and exotic knotweeds). In our study, we address trade-offs between spectral, spatial and temporal resolutions required for balance between the precision of detection and economic feasibility. For the best results, it is necessary to choose best combination of spatial and spectral resolution and phenological stage of the plant in focus. For species forming distinct inflorescences such as giant hogweed iterative semi-automated object-oriented approach was successfully applied even for low spectral resolution data (if pixel size was sufficient) whereas for lower spatial resolution satellite imagery or less distinct species with complicated architecture such as knotweed, combination of pixel and object based approaches was used. High accuracies achieved for very high resolution data indicate the possible application of described methodology for monitoring invasions and their long-term dynamics elsewhere, making management measures comparably precise, fast and efficient. This knowledge serves as a basis for prediction, monitoring and prioritization of management targets.


AoB Plants ◽  
2019 ◽  
Vol 11 (5) ◽  
Author(s):  
Franz Essl ◽  
Wayne Dawson ◽  
Holger Kreft ◽  
Jan Pergl ◽  
Petr Pyšek ◽  
...  

Abstract Biological invasions are a defining feature of the Anthropocene, but the factors that determine the spatially uneven distribution of alien plant species are still poorly understood. Here, we present the first global analysis of the effects of biogeographic factors, the physical environment and socio-economy on the richness of naturalized and invasive alien plants. We used generalized linear mixed-effects models and variation partitioning to disentangle the relative importance of individual factors, and, more broadly, of biogeography, physical environment and socio-economy. As measures of the magnitude of permanent anthropogenic additions to the regional species pool and of species with negative environmental impacts, we calculated the relative richness of naturalized (= RRN) and invasive (= RRI) alien plant species numbers adjusted for the number of native species in 838 terrestrial regions. Socio-economic factors (per-capita gross domestic product (GDP), population density, proportion of agricultural land) were more important in explaining RRI (~50 % of the explained variation) than RRN (~40 %). Warm-temperate and (sub)tropical regions have higher RRN than tropical or cooler regions. We found that socio-economic pressures are more relevant for invasive than for naturalized species richness. The expectation that the southern hemisphere is more invaded than the northern hemisphere was confirmed only for RRN on islands, but not for mainland regions nor for RRI. On average, islands have ~6-fold RRN, and >3-fold RRI compared to mainland regions. Eighty-two islands (=26 % of all islands) harbour more naturalized alien than native plants. Our findings challenge the widely held expectation that socio-economic pressures are more relevant for plant naturalization than for invasive plants. To meet international biodiversity targets and halt the detrimental consequences of plant invasions, it is essential to disrupt the connection between socio-economic development and plant invasions by improving pathway management, early detection and rapid response.


Phytotaxa ◽  
2019 ◽  
Vol 419 (3) ◽  
pp. 239-267
Author(s):  
MAYRA CAMINO-VILARÓ ◽  
LÁZARO CASTRO-HERNÁNDEZ ◽  
YUDISLEIDYS ABREU-HERRERA ◽  
JULIO MENA-PORTALES ◽  
TAIMY CANTILLO-PÉREZ

Several fungi use a wide range of plant species as hosts and others have high specificity for the host plant, invasive plants included. In this compilation, 676 fungal records associated to 102 species of invasive plants are recognized in Cuba, some of them are host specific and others are known from several hosts. Most of the fungal records are representatives of Ascomycota and also most of these records were found on/in leaves. The plant species Syzygium jambos, Bambusa vulgaris, Psidium guajava, Delonix regia, Citrus aurantium, Casuarina equisetifolia and Citrus × aurantiifolia are the ones with the highest numbers of associated fungi.


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