Geoffrey M. Henebry Jordan D. Muss Eric Ariel L. Salas Geographic Information Science Center of Excellence South Dakota State University and Naikoa Aguilar-Amuchastegui.

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Geoffrey M. Henebry Jordan D. Muss Eric Ariel L. Salas Geographic Information Science Center of Excellence South Dakota State University and Naikoa Aguilar-Amuchastegui World Wildlife Fund–US Research supported through the NASA Biodiversity program: NNX09AK23G. Thank you! Synergistic Analyses of Data from Active and Passive Sensors to Assess Relationships between Spatial Heterogeneity of Tropical Forest Structure and Biodiversity Dynamics: Further Steps toward Synergy

Overview 1.Update on alternative metrics to characterize waveform lidar data 2.Study areas in Costa Rica 3.Sampling biodiversity in the managed forests in Costa Rica 4.Current results 5.Next steps

An update on alternative methods to characterize lidar waveforms We have adapted two methods from mechanical engineering: (1) Moment Distance Index describes waveform shape using two user- defined reference points, the left pivot (lp) and right pivot (rp): (2) Radius of Gyration describes the waveform from a single well-defined reference point, the centroid of the waveform: where

White Pine: DRL 1m bins HOME centroid Red Maple: DRL 1m bins HOME centroid The height corresponding to the centroid offers an alternative metric to HOME (height of median energy). The centroid can coincide with HOME, but it need not, because it characterizes a different aspect of the waveform. In poster #199 Jordan Muss applied centroid height, radius of gyration, and moment distance index to pseudo-waveforms generated from discrete return lidar data from deciduous and coniferous plots in northern Wisconsin. lp rp

MeasurementModelAdj. r 2 RMSE A Tree height (max)0.4Max + 1.4RG B ln(Total biomass)0.2Max MDI – C ln(Branch biomass)0.1Max - 0.2RG – D ln(Mean QMSD)1.9Max – 0.004MDI – ELowest live branch (mean)0.4Max + 0.7RG – 13.8CRR FCrown length (mean)1.1Centroid Y – 1.2RG – 9.7CRR A B C D

Study Areas L7 15JUN2001 RGB=543

Study Areas L7 15JUN2001 RGB=543  Rojomaca  Ecovida  Ladrillera 1   Ladrillera 3  Selva Verde  Kay Rica  Starke  La Selva  Tosi 9 forested sites 3 natural reference: 1 natural & intact 2 natural but fragmented 6 managed units: 5 primary 1 old secondary

Study Areas L7 15JUN2001 RGB=543

Study Areas L7 26JAN2008 RGB=543

Study Areas L7 05APR2010 RGB=543

Study Areas L7 05APR2010 RGB=543 Each FMU is under FSC certification as being sustainably managed (granted to FUNDECOR in 1993).

Polygons with FSC certified management agreements with FUNDECOR for 1 of 3 uses: i.Production ii.Protection iii.Plantations  La Selva

Methods for Ongoing Biodiversity Surveys through collaboration with ICOMVIS at UNA and FUNDECOR  Transects in each forest with survey points each m.  For dung beetles, pitfall traps at each point for 1 week.  For butterflies, point counts and traps for 3 days.  For birds, calls recorded with digital recorders from x 3 days (= 48 h per forest).  For mammals, camera traps per forest 250m apart set for 2 weeks, half were baited with perforated sardines cans.

tayratapir puma ocelot raccoon Hypothyris euclea, an understory specialist Arcas imperialis, found in understory gaps

Forest TypeStatus Surveyed Forests Years since last harvest Disturbance Index Area under harvest Estimated Species Richness Dung Birds Mammals Beetles Butterflies Primary Forest FMU Kay Rica Ecovida NYA32 Ladrillera Tosi Ladrillera Natural La Selva NYA Rojomaca NYA28 Selva Verde NYA35 Secondary Forest FMU Starke DI = h * i * r * y -1 h: number of harvest events i: intensity of last harvest (e.g., trees/ha) r: years required for sustainable rotation y: years since last harvest  Need to integrate effects of fragmentation. Current results of biodiversity surveys in selected forest stands

Natural ForestsManaged Forests PrimarySecondary

Natural Forests Managed Forests PrimarySecondary

Next Steps  complete the biodiversity surveys & compositional analyses  complete assessment of RS indicators of structural heterogeneity  dissimilarity modeling to link composition with indicators from RS data  apply models to indicate other FMUs in need of biodiversity surveys  verify models’ predictions Significance  Multiple linkages exist between Biodiversity & Carbon in tropical forests: habitat structure, ecosystem function, ecological resilience, livelihoods & development, sustainable management  REDD changed to REDD+ at COP14 in Poznan 2008  Biodiversity preservation and low-impact logging are part of the “+” in REDD+  FSC certification is thus a leverage point for managing Biodiversity through Carbon