Structure and Composition of Edges in Boreal Forest Qinglin Li.

Slides:

Advertisements

Similar presentations

Scaling Biomass Measurements for Examining MODIS Derived Vegetation Products Matthew C. Reeves and Maosheng Zhao Numerical Terradynamic Simulation Group.

Advertisements

Rapid River Schools FOREST ECOLOGY “Conservation is a state of harmony between men and land.” “A Sand County Almanac” Aldo Leopold

Utilization of Remotely Sensed Data for Targeting and Evaluating Implementation of Best Management Practices within the Wister Lake Watershed, Oklahoma.

APPLICATION OF LANDSCAPE-SCALE HABITAT SUITABILTY MODELS TO BIRD CONSERVATION PLANNING Frank R. Thompson III, USDA Forest Service North Central Research.

SPATIAL HETEROGENEITY SUB-GROUP UPDATE THURSDAY 23 RD JANUARY 2014 YVETTE DICKINSON.

Examining fire spread patterns across a managed forest-land mosaic in northern Wisconsin, USA using a modeling approach Jacob LaCroix, Daolan Zheng, Soung-Ryoul.

EDGE. Ecological and physical processes near beach- front and clearcut boundaries.

ESTIMATING ABOVEGROUND BIOMASS USING LANDSAT 7 ETM+DATA ACROSS A MANAGED LANDSCAPE IN NORTHERN WISCONSIN, USA Authors: Daolan Zheng,John Rademacher, Jiquan.

Interception If precipitation falls on a surface other than bare soil, it is considered to be intercepted and is subject to evaporation or sublimation.

** The paper recommended (McGarigal and Cushman 2002) summarizes the fragmentation studies with the most recent and richest references on the topic. SPATIAL.

Scale & Scaling What is scale? What is scale? Why is scale important in landscape ecology? Why is scale important in landscape ecology? What are the correct.

Climatic and biophysical controls on conifer species distributions in mountains of Washington State, USA D. McKenzie, D. W. Peterson, D.L. Peterson USDA.

Spatial Data Analysis The accurate description of data related to a process operating in space, the exploration of patterns and relationships in such data,

An Improved Method for Classifying Forest Fragmentation Jason Parent and James Hurd Center for Land use Education and Research.

Assessing the Impact of Land Cover Spatial Resolution on Forest Fragmentation Modeling James D. Hurd and Daniel L. Civco Center for Land use Education.

Lots of Ways to Measure Landscape Pattern (Hargis et al. 1997) Fig 9.1 here Amount of each class –Critical probability at point of percolation 50-65% of.

Introduction Subalpine meadows play a crucial role in species diversity, supporting many endangered species of plant and wildlife. Subalpine meadows play.

An overview of a few of the methods used in landscape ecology studies.

Ecosystem processes and heterogeneity Landscape Ecology.

? ? How much resource is there now? Where is the resource located? What will the resource be in the future? Mississippi Institute for Forest Inventory.

CHANGE  Examine this diagram and describe what is happening without using the word “change”.

CHANGE. Change happens all the time. Some examples of change are: volcanoes, climate change, forest fire, flood, mudslides, glacier melting.

Ecology – the study of the interactions among organisms and their environment. Landscape – area-wide mosaic over which local ecosystems, land covers and.

An Object-oriented Classification Approach for Analyzing and Characterizing Urban Landscape at the Parcel Level Weiqi Zhou, Austin Troy& Morgan Grove University.

Introduction Evaluating Population-Habitat Relationships of Forest Breeding Birds at Multiple Scales Using Forest Inventory and Analysis Data Todd M. Fearer.

Proposed Special Conservation Area (SCA) for the Lakewood and Laona Districts of the Nicolet National Forest Jeanette Jaskula, Monica Hauck- Whealton,

A Forest Fragmentation Index to Quantify the Rate of Forest Change James D. Hurd, Emily H. Wilson, Daniel L. Civco Center for Land Use Education and Research.

Application of remote sensing on estimating aboveground biomass Daolan Zheng Dept. of EEES, University of Toledo LE4760/6760, Spring 2005.

Image Classification Digital Image Processing Techniques Image Restoration Image Enhancement Image Classification Image Classification.

Once upon a time, there … Some Key Points Structure needs to be defined by objective, proper scale, and variable of interests; All structural elements.

Managing Patch Edge Fuel Effects Fire Spread in a Fragmented Landscape By: Jacob J. LaCroix, Soung- Ryoul Ryu, Qinglin Li, Daolan Zheng, and Jiquan Chen.

The impacts of land mosaics and human activity on ecosystem productivity Jeanette Eckert.

Estimating aboveground biomass: remote sensing approach Daolan Zheng Dept. of EEES, University of Toledo.

Effect of retained trees on growth and structure of young Scots pine stands Juha Ruuska, Sauli Valkonen and Jouni Siipilehto Finnish Forest Research Institute,

Plant Responses To Land Mosaics EEES 4760/6760, University of Toledo Feb19, 2007 Reading: Chapter 2.

Edge Corridor (road) Patch Matrix LANDSCAPE MOSAIC.

Land Cover Change Monitoring change over time Ned Horning Director of Applied Biodiversity Informatics

Extent and Mask Extent of original data Extent of analysis area Mask – areas of interest Remember all rasters are rectangles.

Land Cover Change Monitoring change over time Ned Horning Director of Applied Biodiversity Informatics

Biological Planning Process for Partners in Flight How to Translate Population Targets into Habitat Objectives at Eco-Regional Scales West Gulf Coastal.

Ecological Succession Series of changes that occur during the development of an ecosystem the gradual replacement of one community by another until a.

Northern Michigan Forest Productivity Across a Complex Landscape David S. Ellsworth and Kathleen M. Bergen.

Landscape ecology methods

1972 – 2001 Landscape Dynamics Wisconsin ha ( ac)

Comparing Three Great Lakes Research Projects By Mary Bresee.

Cases Studies: Importance of Scales in Ecological Investigations EEES 6760, University of Toledo January 28, 2009.

1.Define a landscape. What is the focus of Landscape Ecology. Notes 2. Discuss the role of spatial and temporal scale in affecting landscape composition,

Introduction to Models Lecture 8 February 22, 2005.

Why Quantify Landscape Pattern? Often have hypotheses relating pattern to ecological processes Describe change over time Compare different landscapes.

Landscape Management & Harvest Model A Case Studies from Chequamegon National Forest EEES4760/6760 April 15, 2009 HARVEST used to simulate different landscapes.

Landscape Management & Harvest Model A Case Studies from Chequamegon National Forest EEES4760/6760 April 20, 2009 HARVEST used to simulate different landscapes.

Ecology & Management of Disturbed Landscapes Challenges and Opportunities Jiquan Chen Landscape Ecology & Ecosystem Science University of Toledo Apr 16,

Ecosystem Water Use: A Concept Linking Water and Carbon Fluxes Jiquan Chen Landscape Ecology & Ecosystem Science (LEES) Lab University of Toledo Feb. 21,

Ecological Succession Changing Ecosystems. Biodiversity  Biodiversity is the variety of organisms in a given area.  Physical factors (abiotic) have.

Term Project Presentation

Jiquan Chen Kim Brosofske Asko Noormets Tom Crow Soung Ryu Many others

Great Barrier Reef Report Card 2015 – Burdekin: Ground Cover

Succession: Changes Over Time

Why Quantify Landscape Pattern?

Quantifying Scale and Pattern Lecture 7 February 15, 2005

Ecosystem Productivity

Figure 1. Spatial distribution of pinyon-juniper and ponderosa pine forests is shown for the southwestern United States. Red dots indicate location of.

Paulo Gonçalves1 Hugo Carrão2 André Pinheiro2 Mário Caetano2

5-3 How Do Communities and Ecosystems Respond to Changing Environmental Conditions? Concept 5-3 The structure and species composition of communities and.

Large-scale Ecology Interacting ecosystems

Patterns of Succession

Conclusion & Discussion

Landscape ecology methods

Global effect of tree species diversity on forest productivity.

Angela Gee, US Forest Service July 22, 2019

Presentation transcript:

Structure and Composition of Edges in Boreal Forest Qinglin Li

Objectives To address the spatial and temporal pattern of the edge influence under different models To address the concepts of modeling approaches in edge effects

Methods Critical values model –T-test: Buffering Model –60 meters from the edge

Methods: Sampling design (0, 5, 10, 20, 40, 60, 100, 150, and 200): 20m x 5m for trees, subplots 2m x 2m for shrub, and three 0.5m x 0.5m for herb Data collected: Late to June to mid- August Data analysis: Critical values model Critical Values Model

Data table Back>

The Reference Information

The Field Data Input

Outputs:

Table 1 Results

Proposing hypotheses Secondary composition responses start later than primary and secondary structure responses to edge influence, and DEI for secondary responses extends farther into the interior forest than for primary responses.

Buffering Model Distance selection Pre-processing (Modified neighborhood)

Conceptual Design 1 a c 2 3 b b a Illustrating multiple edges effects to patch type 4. (1, 2, 3, and 4 illustrating four distinct patch types. a-c. the area of edge influence of patch type 4 by one neighbor; the dark area represents the area of edge influence of patch type 4 by two or over two neighbors.)

Landsat TM land cover map (2001, Bresee et al. in review) for the study area, Chequamegon National Forest, WI, USA. A subscene with mature hardwood patch and its area of multiple edge influence by neighbor patches (60 meters buffer).

RP & JP to AMEI% 2. Regenerating Forest/Shrub (RFS), 3. Mature HardWood (MHW), 6. Mixed Hardwood/Conifer (MHC), 10. Nonforest Bare Ground (NFBG), 12. Jack Pine (JP), 13. Red Pine (RP), 14. Water AMEI% patches AMEI% patches

NFBG & MHC to AMEI% patches AMEI% 2. Regenerating Forest/Shrub (RFS), 3. Mature HardWood (MHW), 6. Mixed Hardwood/Conifer (MHC), 10. Nonforest Bare Ground (NFBG), 12. Jack Pine (JP), 13. Red Pine (RP), 14. Water

MHW & RFS to AMEI% patches AMEI% 2. Regenerating Forest/Shrub (RFS), 3. Mature HardWood (MHW), 6. Mixed Hardwood/Conifer (MHC), 10. Nonforest Bare Ground (NFBG), 12. Jack Pine (JP), 13. Red Pine (RP), 14. Water

Shannon & Shape indices

Conclusions The buffering model can be used to determine multiple edge influence at landscape level, The complicity and structure of area of multiple edge influence of one patch type to the neighboring patches vary across the landscape, and The composition of area of multiple edge influence of patch type can be presented by Shannon diversity index.