Filters: Tags: Weeds (X) > Types: OGC WFS Layer (X)
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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 365 naturalized...
Categories: Data,
Publication;
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Hawaii,
farming,
fire,
fire risk,
flammability,
There is growing interest in the facilitated movement of plants as a means of conserving or restoring species and habitats, as climate conditions and management goals change. For example, plants might be relocated to support pollinator conservation or the restoration of prairies. Some land managers, in an effort to be proactive in the face of changing environmental conditions, are also considering relocating plants to sites that are considered more similar to anticipated future conditions. However, moving plants can be ecologically and economically risky. It’s possible that pests, pathogens, or contaminant weeds can be inadvertently moved along with the target plant material. In 2016, the noxious weed Palmer amaranth...
Categories: Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2018,
CASC,
Completed,
Grasslands and Plains,
Grasslands and Plains,
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