Replication Data for: Fragmentation increases wind disturbance impacts on forest structure and carbon stocks in a western Amazonian landscape (ICPSR doi:10.5072/FK2/544RME)

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Document Description

Citation

Title:

Replication Data for: Fragmentation increases wind disturbance impacts on forest structure and carbon stocks in a western Amazonian landscape

Identification Number:

doi:10.5072/FK2/544RME

Distributor:

Center for International Forestry Research (CIFOR) Dataverse

Date of Distribution:

2017-07-12

Version:

1

Bibliographic Citation:

Schwartz, N.; Uriarte, M.; DeFries, R.; Bedka, K.M.; Fernandes, K.; Gutiérrez-Vélez, V.; Pinedo-Vasquez, M., 2017, "Replication Data for: Fragmentation increases wind disturbance impacts on forest structure and carbon stocks in a western Amazonian landscape", doi:10.5072/FK2/544RME, Center for International Forestry Research (CIFOR) Dataverse, V1

Study Description

Citation

Title:

Replication Data for: Fragmentation increases wind disturbance impacts on forest structure and carbon stocks in a western Amazonian landscape

Identification Number:

doi:10.5072/FK2/544RME

Authoring Entity:

Schwartz, N. (Columbia University, New York City)

Uriarte, M. (Columbia University, New York City)

DeFries, R. (Columbia University, New York City)

Bedka, K.M. (NASA, Washington, D.C.)

Fernandes, K. (The International Research Institute for Climate and Society (IRI))

Gutiérrez-Vélez, V. (Columbia University, New York City)

Pinedo-Vasquez, M. (Center for International Forestry Research (CIFOR))

Distributor:

Center for International Forestry Research (CIFOR) Dataverse

Date of Distribution:

2017-07-12

Study Scope

Keywords:

Climate Change, Energy and low carbon development (CCE), tropical forests, secondary forests, carbon, remote sensing, reforestation, wind direction, forest fragmentation

Topic Classification:

Climate change

Abstract:

Dataset of Fragmentation increases wind disturbance impacts on forest structure and carbon stocks in a Western Amazonian landscape, contains the raw data, non-spatial data used for the analysis of fragmentation effects on wind damage in Schwartz et al. 2017. For spatially explicit data, please contact the author. Variable names are as follows: PID = ID of patch in which pixel is located, dam = pixel wind damage (deltaNPV), dist.to.edge = pixel distance to edge, secondary = binary indicator for secondary forest (0 = old growth, 1 = secondary), AREA = patch size, SHAPE = shape index (i.e. edginess) from fragstats, PROX = proximity index from fragstats*-1 (i.e. isolation)

Geographic Coverage:

Amazon

Kind of Data:

measurement data

Kind of Data:

spatial data

Methodology and Processing

Other Study-Related Materials

Label:

Schwartz_etal_EcolApps_dataForDeposit.csv

Notes:

text/csv