Costa Rica: Santa Rosa/Palo Verde

Latitude: 10.814722
Longitude: -85.615000

Santa Rosa tower
Santa Rosa tower

  • Network: Unaffiliated
  • Principal investigator: Arturo Sanchez-Azofeifa
  • PI-affiliated institution: University of Alberta
  • Primary IGBP ecosystem type: Cropland/Natural Vegetation Mosaics
  • Dominant plant functional type: Grass
  • Recent and historic disturbance and management events that may affect this site:
    • Agricultural management of any kind, such as cultivation (including tillage, plowing, or discing), harvest, irrigation, pesticides, planting, or liming.
    • Fire: Wildfire or managed burns
    • Forestry: Forest management such as logging of any kind, plantation planting, or herbicide application.
    • Grazing: Herbivory or browsing by mammals, managed or wild.
    • Santa Rosa National Park became known as Sector Santa Rosa of the Area de Conservacion Guanacaste. The area is covered in a mosaic of pasture and secondary forest with various land use histories (e.g. banana plantation, inland rice, cattle ranching, logging of valuable timber species etc.) and different occurences of discrete anthropogenic events such as fire.
  • Flux data collection:
    • Start date: January 2005
    • End date: Ongoing
  • Flux methods:
    • Eddy covariance
  • Optical data collection:
    • Start date: April 2002
    • End date: Ongoing
  • Data collection period: Continuous operation: Variable collected continuously with the reported method.
  • Data scale: Stand
  • Collection methods: Tower
  • Types of data collected: PAR, PYR, Optical data
  • Publications:
    • Arroyo‐Mora JP, Sánchez‐Azofeifa GA, Kalacska ME, Rivard B, Calvo‐Alvarado JC, Janzen DH. Secondary forest detection in a Neotropical dry forest landscape using Landsat 7 ETM+ and IKONOS Imagery 1. Biotropica: The Journal of Biology and Conservation. 2005 Dec;37(4):497-507.
    • Morisette JT, Baret F, Privette JL, Myneni RB, Nickeson JE, Garrigues S, Shabanov NV, Weiss M, Fernandes RA, Leblanc SG, Kalacska M. Validation of global moderate-resolution LAI products: A framework proposed within the CEOS land product validation subgroup. IEEE Transactions on Geoscience and Remote Sensing. 2006 Jun 26;44(7):1804-17.
    • Gillespie TW, Zutta BR, Early MK, Saatchi S. Predicting and quantifying the structure of tropical dry forests in South Florida and the Neotropics using spaceborne imagery. Global Ecology and Biogeography. 2006 May;15(3):225-36.