RaDiUS Database Project Description  (updated Aug. 2005)

 

 

Short Title:

Carbon Sequestration in New York State Forestland

Award Number:

NYC124506

RaDiUS ID:

60356027256

FY in RaDiUS database:

2003

Level 1:

Dept of Agriculture

Level 2:

Cooperative State Research, Education, and Extension Service

Level 3:

McIntire-Stennis cooperative forestry

Level 4:

NY - New York

Budget Authority (in $K):

$631K

Total Awards:

24

Award Type:

Extramural/Grants/

Start Date:

Oct-01

End Date:

Sep-06

Access/Distribution Restriction:

Distribution Unlimited - Unrestricted Access

Restriction Reason:

 

CRADA Partner:

 

Place of Performance:

 

Place of Performance: State:

 

Performer Name:

CORNELL UNIVERSITY

Performer Type:

PriEdInst

Performer City:

ITHACA

Performer State:

NY

Performer Country:

 

Performer Cong. District:

26

Performer Contact Name:

Restricted

Performer Contact Phone:

Restricted

Performer Parent:

 

Total Award Amount (in $K):

 

Average Annual Funding (in $K):

 

Average Monthly Funding (in $K):

 

FY Total Amount (in $K):

 

FY Federal Amount (in $K):

 

FY Non-Federal Amount (in $K):

 

SBIR Award:

N

Clinical Trial:

N

Requester:

 

Award Description:

TITLE: Carbon Sequestration in New York State Forestland :: LONG DESCR: Develop spatially referenced estimates of leaf area index (LAI) for New York State forest communities. Use models to estimate current carbon sequestration in forest ecosystems as a function of forest type, soil type and climate. Project the impact of forest/land management policies on future above- and below-ground carbon sequestration. Identify areas and forest/land management practices where opportunity for enhancing carbon sequestration in New York State may be greatest. This study will take advantage of increasingly available fine resolution remotely sensed data to estimate LAI for New York State. Spatially referenced LAI estimates will be used as input to a model of carbon dynamics in New York State forests. This project will estimate the potential for carbon sequestration in forestedecosystems under current environmental conditions. :: KEYWORDS: leaf area index climate change carbon modeling vegetation forests satellites forest ecology land use estimation spatial distribution forest ecosystems forest types soil types climate forest managementland management policy analysis indexes stand characteristics measurement remote sensing predictive models performance evaluation sensitivity analysis parameters environmental factors ::