0-6973: Predictive Mapping of Rare Plants [Project Summary]

Details

• Creators:
  Kafley, Hemanta ; Craven, Jordan ; Pensirikul, Marissa ; Sharma, Mandira ; Pressler, Lane ; Murray, Darrel ; Mathewson, Heather A.
• Corporate Creators:
  Tarleton State University
• Corporate Contributors:
  Texas Department of Transportation. Research and Technology Implementation Office ; United States. Department of Transportation. Federal Highway Administration
• Subject/TRT Terms:
  • Habitat (Ecology)
  • Location
  • Mapping
  • Plants
• Publication/ Report Number:
  0-6973
• Resource Type:
  Brief
• Geographical Coverage:
  Texas ; United States
• Contracting Officer:
  Dassi, Martin
• Corporate Publisher:
  Texas. Dept. of Transportation. Research and Technology Implementation Office
• Abstract:
  0-6973: Predictive Mapping of Rare PlantsRare plants are essential components of a functioning ecosystem. These species are often phenotypically unique or provide a specific ecosystem function. Rare plants may be limited in range, limited in population numbers, or a combination of both. These plants are often imperiled due to a combination of factors that includes changing ecological conditions, human intervention, habitat loss, low recruitment rate, or competition with non-native species. We conducted this research to identify priority rare plant species and develop distribution models for selected species in Texas. The research team identified 17 species in consultation with biologists from the Texas Department of Transportation, Texas Parks & Wildlife Department, and Botanical Research Institute of Texas (BRIT). We gathered ecological information on these species and developed distribution models using historical presence-only data. While we evaluated all models statistically, we also validated models for four species utilizing independent field data collected by BRIT as a part of this project. Project Summary
• Format:
  PDF
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/61840/dot_61840_DS1.pdf
• File Type:
  [PDF - 511.31 KB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha256:7e9ef61f1e535828619db974d3eadef686a98cab339aae6ccf391cd3e82c5e74