Forest Structure and Biodiversity on a Cloud Forest Lee Margin: Falling Trees and Calling Birds R. O. Lawton, R. M. Welch, U. S. Nair, K. N. Rabenold &

Slides:



Advertisements
Similar presentations
A Sensitivity Study of Radiant Energy During Snowmelt in Small Canopy Gaps: The quest for the radiative minima and more... Timothy E. Link - University.
Advertisements

Lecture 11 (Chapter 9).
Ronald M. Welch (PI) Vani Starry Manoharan University of Alabama in Huntsville Environmental Stability of Forest Corridors in the Mesoamerican Biological.
Technology Enables Us To Explore Our Earth The Land and the Oceans.
The role of climate change on the ecosystems of the Luquillo LTER Craig A. Ramseyer & Thomas L. Mote University of Georgia.
o What were we looking at? o The Pit Crew studied soil patterns throughout the landscape.
The Introduction of a Knowledge-based Approach and Statistical Methods to Make GIS-Compatible Climate Map Goshi Fujimoto at MIG seminar on 16th, May Daly,
Florida Marine Reserve. Lawton, J.H., et al. (1998) Biodiversity inventories, indicator taxa and effects of habitat modification in tropical forest. Nature,
Methods for Estimating Distributions Static Distributions –Polygon –Grid –Habitat Mapping.
1 Satellite Remote Sensing of Particulate Matter Air Quality ARSET Applied Remote Sensing Education and Training A project of NASA Applied Sciences Pawan.
Population Ecology 4 CHAPTER
Levels of Organization, Population Ecology Chapter 3.
Predictive Modeling of Northern Spotted Owl Home Ranges Presented by Elizabeth Willy USFWS File Photo.
Multi-Scale Modeling of Bird Diversity using Canopy Structure Metrics of Habitat Heterogeneity Scott Goetz Mindy Sun (WHRC) Ralph Dubayah Anu Swatatran.
Monteverde The Study of birds and their relationships in Monteverde.
Evidence – Air Temperature Air temperatures up 0.74 degrees C in the past 100 years Copyright IPCC.
Analysis of Categorical and Ordinal Data: Binomial and Logistic Regression Lecture 6.
Team1 HalmSunMinor. Rising motion Sinking Motion.
Estimating the Spatial Distribution of Snow Water Equivalent and Snowmelt in Mountainous Watersheds of Semi-arid Regions Noah Molotch Department of Hydrology.
Applications of Spatial Statistics in Ecology Introduction.
PLANTS AND VEGETATION OF MONTEVERDE. Plant Diversity Monteverde is home to an extremely high number of different plant species. The high level of moisture.
Conservation Biology and Ecological Ecosystems Jess Drew Ali Powell Mark Zolla.
Lecture 5 Model Evaluation. Elements of Model evaluation l Goodness of fit l Prediction Error l Bias l Outliers and patterns in residuals.
Influence of the Asian Dust to the Air Quality in US During the spring season, the desert regions in Mongolia and China, especially Gobi desert in Northwest.
Disturbance Effects on Carbon Dynamics in Amazon Forest: A Synthesis from Individual Trees to Landscapes Workshop 1 – Tulane University, New Orleans, Late.
Continental Scale Modeling of Bird Diversity using Canopy Structure Metrics of Habitat Heterogeneity Scott Goetz Mindy Sun (WHRC) Ralph Dubayah Anu Swatatran.
4 Population Ecology CHAPTER. Finding Gold in a Costa Rican Cloud Forest Golden toads lived in Costa Rica’s Monteverde cloud forest. Golden toads were.
Disturbance and Reserve Design Neville Handel Fall 2005.
Remote-sensing and biodiversity in a changing climate Catherine Graham SUNY-Stony Brook Robert Hijmans, UC-Berkeley Lianrong Zhai, SUNY-Stony Brook Sassan.
Chapter 5: More Disturbance January 31. Disturbance Disturbance events make resources available that were formerly in use by other organisms Fires clear.
Citation: Richardson, J. J, L.M. Moskal, S. Kim, Estimating Urban Forest Leaf Area Index (LAI) from aerial LiDAR. Factsheet # 5. Remote Sensing and.
Effects of fire, extreme weather, and anthropogenic disturbance on avian biodiversity in the United States Anna M. Pidgeon1, Chad Rittenhouse1, Thomas.
Ecosystems, Populations, and biodiversity SCI 7724.
4 Population Ecology CHAPTER. Finding Gold in a Costa Rican Cloud Forest Golden toads lived in Costa Rica’s Monteverde cloud forest. Golden toads were.
Determination of cloud immersion and biogeography of cloud forests using satellite data Udaysankar S. Nair 1, Salvi Asefi 3, Ron Welch 3, Robert O. Lawton.
Forest structure and biodiversity on a steep geophysical gradient: the cloud forest lee margin Robert O. Lawton, Ronald M. Welch, Salvi Asefi, Deepak K.
Nonlinear Logistic Regression of Susceptibility to Windthrow Seminar 7 Likelihood Methods in Forest Ecology October 9 th – 20 th, 2006.
Emergence of Landscape Ecology Equilibrium View Constant species composition Disturbance & succession = subordinate factors Ecosystems self-contained Internal.
Environmental Stability of Forest Corridors in the Mesoamerican Biological Corridor (MBC) Region R. Welch University of Alabama – Huntsville V. S. Manoharan,
Forest Structure and Biodiversity on a Cloud Forest Lee Margin R. O. Lawton, R. M. Welch, U. S. Nair, K. N. Rabenold & W. A. Haber.
REGRESSION REVISITED. PATTERNS IN SCATTER PLOTS OR LINE GRAPHS Pattern Pattern Strength Strength Regression Line Regression Line Linear Linear y = mx.
Population Ecology 4 CHAPTER
Skudnik M. 1*, Jeran Z. 2, Batič F. 3 & Kastelec D. 3 1 Slovenian Forestry Institute, Ljubljana, Slovenia 2 Jožef Stefan Institute, Ljubljana, Slovenia.
The Biogeography of Global Warming. Shows the predicted warming over the 21st century due to business as usual greenhouse gas emissions as reported.
Forest ecological applications of ALS ALS provide 3D information where each point has height (and intensity) value Even with low pulse density data, say,
4 Population Ecology CHAPTER. Finding Gold in a Costa Rican Cloud Forest Golden toads lived in Costa Rica’s Monteverde cloud forest. Golden toads were.
Population Ecology 4 CHAPTER
Population Ecology 4 CHAPTER
Lecture 5 Model Evaluation
Embedded sensor network design for spatial snowcover Robert Rice1, Noah Molotch2, Roger C. Bales1 1Sierra Nevada Research Institute, University of California,
Chapter 3: Describing Relationships
Ecosystem Model Evaluation
Lee Hannah Conservation International
Remote Sensing and Avalanches
Population Ecology 4 CHAPTER
Ecological responses to climate change
Population Ecology 4 CHAPTER
Population Ecology 4 CHAPTER
Population Ecology 4 CHAPTER
Population Ecology 4 CHAPTER
Population Ecology 4 CHAPTER
Population Ecology 4 CHAPTER
Population Ecology 4 CHAPTER
Population Ecology 4 CHAPTER
Simulation showing that the cell length variability of the entire population can mask abnormal cell length variability at a specific cell cycle period.
Population Ecology 4 CHAPTER
Population Ecology 4 CHAPTER
Big data for Global Change Ecology (Biogeography)
Stability and demographic responses of ant communities to warming
Presentation transcript:

Forest Structure and Biodiversity on a Cloud Forest Lee Margin: Falling Trees and Calling Birds R. O. Lawton, R. M. Welch, U. S. Nair, K. N. Rabenold & W. A. Haber

Northern Costa Rica

RAMS – simulated maximum wind speeds 20 m above the ground

Monteverde study watershed ~12 ha; m A mapped study watershed to examine: 1) terrain related physiognomic trends 2) patterns of local species distribution in natural terrain units 3) distribution of individuals within populations 4) demographic processes 1 ha grid; 5 m contours

What are the causes and correlates of the striking canopy heterogeneity?

Trees fall down – a lot. But the risk of treefall and gap formation is not uniform.

Summary of Logistic Regression Analysis for Variables Predicting Treefall Gap Formation Model χ 2 = 8.29 df =2 p=.007 Risk Factor Likelihood ratio 95% CIZPr(>|z|) Intercept <.0001 VEGHT (m) Upwind gap area (m 2 ) of past 5 years

Streamlines of canopy disturbance in a Costa Rican cloud forest Vectors show direction of gap propagation based on monitoring program

Transformation of IKONOS image – accentuates light/dark contrast, which is here largely due to shadowing of upper canopy topography. But note the wormy blobs trending ENE - WSW Remote sensing of local forest dynamics? The same study watershed, again.

Apparently extinct

Quetzales, Pharomachros moccino Still with us – so far.

Quetzal populaton distributiion – Current and Future

Gasner et al Biol. Cons. 143: 1250 Constriction of the Quetzal breeding range on the upper Pacific slope near Monteverde under 3 o C warming scenario. Dashed line at 1200 m is current lower boundary of the breeding range. Hashed area above 1700 m the predicted future range.

All this made possible by a host of characters: NSF, NASA, Wolf Guindon, Eladio Cruz, & the staff of the Monteverde Cloud Forest Reserve, Drs. J. Putz, J. Daniels, R. Welch, U. Nair, R. Pielke, D. Ray, J. Calvo, A. Pounds, W. Haber, K. Rabenold, M. F. Lawton, and students – G. Cauthen, K. Wasmund, T. Earnhardt, T. Field, A. Petroff, P. Petroff, M. Lawton, M. Patrick, N. Lawton, S. Asefi, A. Regmi & V. S. Manoharan