Grant: Discovery Grants Program - Individual
Nipissing University
$13,400.00
Alternative methods for assessing and monitoring mangrove forests
FY 2007-08
Summary
Although considered one of the most productive ecosystems in the world, mangrove forests are also identified as one of the most threatened. One particular concern is the inability to receive updated information regarding the extent and condition of many of these forested wetlands. Consequently, one focus of the proposed research is a continued evaluation of the use of imagery acquired from satellites as a means of regularly mapping these wetlands at a scale detailed enough to assist researchers and resource managers. For example, one objective of my study is to determine whether changes in mangrove productivity, indirectly estimated using Leaf Area Index (LAI) (i.e. leaf coverage), can be mapped at the species level using multi-date very high resolution optical satellite data. In addition, for regions where quasi-permanent cloud cover limits optical sensors, I am proposing to examine the use of a radar satellite, RADARSAT-2, as an alternative platform for estimating similar mangrove biophysical parameter data (e.g. LAI, tree height) since radar can effectively image through clouds. Recent studies on the use of mangrove forests by local inhabitants indicate that these people depend on the timber extracted from these forests for a variety of local uses (e.g. house construction). The results of these studies also indicate that factors such as species composition, tree height and distance from settlements could explain the extent of harvesting occurring for select parts of the mangrove forest. Consequently, I propose to develop a unique spatial database to identify suitable areas for mangrove subsistence harvesting. This management tool will be based on the integration of various sources of data including information derived from satellites and knowledge gathered from local fishermen. Finally, I intend to assess the potential use of dendrochronology (i.e. tree ring dating) for identifying specific historical causes of mangrove forest degradation. In particular, I anticipate that changes in tree ring characteristics will reflect past perturbations and thus assist researchers in identifying key causes of mangrove loss.
Program
Discovery Grants Program - Individual
Recipient
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
249496-2006
Name nom
Kovacs, John
Department département
Geography
Organization id
44
Institution établissement
Nipissing University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2007
Competition year année de concours
2006
Award amount
13400
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
9
Committee name en
Environmental Earth Sciences
Committee name fr
Sc. de la Terre : environ.
Area of application code
400
Area of application group en
Environment
Area of application group fr
Environnement
Area of application en
Environment
Area of application fr
Environnement
Research subject code
4150
Research subject group en
Physical geography
Research subject group fr
Géographie physique
Research subject en
Physical geography
Research subject fr
Géographie physique
Partie
2
Nb partie
2
Application title
Alternative methods for assessing and monitoring mangrove forests
Keyword
NA
Application summary
Although considered one of the most productive ecosystems in the world, mangrove forests are also identified as one of the most threatened. One particular concern is the inability to receive updated information regarding the extent and condition of many of these forested wetlands. Consequently, one focus of the proposed research is a continued evaluation of the use of imagery acquired from satellites as a means of regularly mapping these wetlands at a scale detailed enough to assist researchers and resource managers. For example, one objective of my study is to determine whether changes in mangrove productivity, indirectly estimated using Leaf Area Index (LAI) (i.e. leaf coverage), can be mapped at the species level using multi-date very high resolution optical satellite data. In addition, for regions where quasi-permanent cloud cover limits optical sensors, I am proposing to examine the use of a radar satellite, RADARSAT-2, as an alternative platform for estimating similar mangrove biophysical parameter data (e.g. LAI, tree height) since radar can effectively image through clouds. Recent studies on the use of mangrove forests by local inhabitants indicate that these people depend on the timber extracted from these forests for a variety of local uses (e.g. house construction). The results of these studies also indicate that factors such as species composition, tree height and distance from settlements could explain the extent of harvesting occurring for select parts of the mangrove forest. Consequently, I propose to develop a unique spatial database to identify suitable areas for mangrove subsistence harvesting. This management tool will be based on the integration of various sources of data including information derived from satellites and knowledge gathered from local fishermen. Finally, I intend to assess the potential use of dendrochronology (i.e. tree ring dating) for identifying specific historical causes of mangrove forest degradation. In particular, I anticipate that changes in tree ring characteristics will reflect past perturbations and thus assist researchers in identifying key causes of mangrove loss.