Checking for non-preferred file/folder path names (may take a long time depending on the number of files/folders) ...

Wetland timing, Amazon Basin, Reis et al. 2019


Authors:
Owners: This resource does not have an owner who is an active HydroShare user. Contact CUAHSI (help@cuahsi.org) to determine if accessing this resource is possible.
Type: Resource
Storage: The size of this resource is 19.5 MB
Created: Dec 03, 2020 at 12:24 a.m.
Last updated: Dec 08, 2020 at 12:04 a.m.
Citation: See how to cite this resource
Sharing Status: Discoverable
Views: 1118
Downloads: 2
+1 Votes: Be the first one to 
 this.
Comments: No comments (yet)

Abstract

This resource contains a map (image map only, not a database) that characterizes wetland inundation regimes in the Amazon basin. The map is from a study by Reis et al. (2019) titled "Characterizing seasonal dynamics of Amazonian wetlands for conservation and decision making." The maps shows the distribution of wetland inundation cluster. Each cluster represents a distinct seasonal inundation regime, ranging from the most ephemeral wetlands (cluster 1) to permanently inundated wetlands (cluster 18). The study uses the Global Inundation Extent from Multi‐Satellites database (GIEMS) D15 dataset by Fluet‐Chouinard et al., 2015. The GIEMS dataset is available upon request (see http://www.estellus.fr/index.php?static13/giems-d15) The Reis et al. 2019 map data may be available upon request from the author.

Abstract from source:
In many wetlands the timing and duration of inundation determine ecological characteristics and the provision of ecosystem services; however, wetland conservation decisions often rely on static maps of wetland boundaries that do not capture their dynamic hydrological variability and connectivity. The Amazon River basin contains some of the world's most extensive wetlands, many of which are floodplains where seasonal flood pulses result in a temporally varying inundation area and hydrological connectivity with river systems. This study classified Amazon wetlands according to the timing and duration (months per year) of inundation detected by remote sensing, and also investigated the contribution of precipitation regimes in affecting wetland distribution and hydrological dynamics. Permanently inundated wetlands account for the largest area and are mainly floodplains located in the lowlands of the catchment. Seasonally inundated wetlands varied greatly in the duration of inundation over the course of the year, ranging from 1 to 9 months. Distinct seasonal timing was detected among the large wetland complexes, reflecting rainfall regimes as well as time lags for drainage and drying. For example, inundation in the extensive Llanos de Moxos region of the southern Amazon was protracted and lasted well after the rainy season, compared with the Roraima region of the northern Amazon, where inundation was shorter and tracked the rainy season. The integration of inundation dynamics into wetland classification captures regional differences in timing and duration of inundation in the major wetlands of the basin that should be considered for conservation planning and other ecological applications. This information can aid regional wetland management and planning, especially with regards to minimizing the effects of dam and waterway construction that can directly affect the natural wetland dynamics. The use of global remotely sensed inundation data makes this approach easily transferable to other large tropical wetlands.

Contents:
"Reis_2019_AmazonWetlandsSeasonalDynamics.pdf" is the manuscript that describing the data analysis.

"Reis_2019_Supplemental1_AmazonWetlandsSeasonalDynamics.pdf" is a silhouette plot of CLARA classification showing the silhouette width of each of the 18 wetland clusters. The bars represent the samples grouped in each cluster and the silhouette width (SI) is a measure of the performance of the classification. The SI ranges from −1 to +1, where a high positive value indicates that the object is well matched to its own cluster and poorly matched to neighbouring clusters.

"Reis_2019_Supplemental2_AmazonWetlandsSeasonalDynamics.pdf" is the main data product, a geographic distribution of inundation clusters across the Amazon basin. Each cluster represents a distinct seasonal inundation regime, ranging from the most ephemeral wetlands (cluster 1) to permanently inundated wetlands (cluster 18). Deep open waters of river, lakes, and reservoirs depicted in GWD‐LR are shown in black.

Subject Keywords

Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
Place/Area Name:
Amazon Basin
North Latitude
7.0225°
East Longitude
-30.8385°
South Latitude
-20.9531°
West Longitude
-81.1120°

Temporal

Start Date:
End Date:

Content

  You do not have permission to see these content files. Please contact an Owner if you wish to obtain access.

Related Resources

This resource is referenced by Reis, V., Hermoso, V., Hamilton, S. K., Bunn, S. E., Fluet-Chouinard, E., Venables, B., & Linke, S. (2019). Characterizing seasonal dynamics of Amazonian wetlands for conservation and decision making. Aquatic Conservation: Marine and Freshwater Ecosystems, 29(7), 1073–1082. https://doi.org/10.1002/aqc.3051
The content of this resource references Fluet-Chouinard E., Lehner B., Rebelo L.M., Papa F., Hamilton S.K. (2015): Development of a global inundation map at high spatial resolution from topographic downscaling of coarse-scale remote sensing data. Remote Sensing of Environment 158: 348-361. dx.doi.org/10.1016/j.rse.2014.10.015
This resource belongs to the following collections:
Title Owners Sharing Status My Permission
Spatial Scale: Amazon Basin Claire Beveridge  Private &  Shareable None
Working Group: Floodplains & Natural Flows Claire Beveridge  Private &  Shareable None
Category: Hydrology Claire Beveridge  Private &  Shareable None

How to Cite

Beveridge, C. (2020). Wetland timing, Amazon Basin, Reis et al. 2019, HydroShare, http://www.hydroshare.org/resource/bb9fce38c9424e6c9a2b46ea5665ab04

This resource is shared under the Creative Commons Attribution CC BY.

http://creativecommons.org/licenses/by/4.0/
CC-BY

Comments

There are currently no comments

New Comment

required