Data

Mangrove forest productivity in northern Australia and Papua New Guinea

Australian Ocean Data Network
Australian Institute of Marine Science (AIMS)
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
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The sites chosen covered a range of environments from river mouth to upstream tidal limits, had a well developed canopy and usually had an area of at least 50x50m of continuous forest. Soil sampling was carried out at the Olive River, Claudie River, Normanby River, Lockhart River, McIvor River and Endeavour River.At each site, usually >100 light attenuation readings were made at 1m intervals on random walks through the forest. Readings were also taken above the canopy. These measurements enabled the calculation of an average canopy chlorophyll content, which was then converted to a productivity estimate.At sites where soil was sampled, a single core was taken to a depth of 50cm. Five subsamples were taken at 10cm intervals for redox potential measurements in the field and later nutrient analysis (extractable phosphate and extractable ammonium). The water which filled the holes after core extractions was sampled and soil water salinity measured with a portable conductivity meter. This research was initiated to:(1) examine the variation in estimates of potential net primary production (PN) for mangroves, over a wide geographical range.(2) carry out a regional soil sampling survey, which would facilitate examination of the relationship between a range of soil characteristics and PN.Maintenance and Update Frequency: notPlannedStatement: Statement: Survey Methods:The survey method used to estimate potential net primary productivity is described in:Bunt JS, Boto KG, Boto G (1979) A survey method for estimating potential levels of mangrove forest primary production. Marine Biology 52: 123-128.The methods used for obtaining soil cores, redox measurements and samples for extractable nutrient analysis are described in:Boto KG, Wellington J (1984) Soil characteristics and nutrient status in northern Australian mangrove forests. 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While AIMS has made every reasonable effort to ensure high quality of the data, products and services, to the extent permitted by law the data, products and services are provided without any warranties of any kind, either expressed or implied, including without limitation any implied warranties of title, merchantability, and fitness for a particular purpose or non-infringement. AIMS make no representation or warranty that the data, products and services are accurate, complete, reliable or current. To the extent permitted by law, AIMS exclude all liability to any person arising directly or indirectly from the use of the data, products and services.&rft_rights=Attribution: Format for citation of metadata sourced from Australian Institute of Marine Science (AIMS) in a list of reference is as follows: Australian Institute of Marine Science (AIMS). (2010). Mangrove forest productivity in northern Australia and Papua New Guinea. https://apps.aims.gov.au/metadata/view/5a48f245-f5fe-41a1-bafe-961a3a75855e, accessed[date-of-access].&rft_rights=Resource Usage:Use of the AIMS data is for not-for-profit applications only. All other users shall seek permission for use by contacting AIMS. Acknowledgements as prescribed must be clearly set out in the user's formal communications or publications.&rft_rights=Creative Commons Attribution-NonCommercial 3.0 Australia License http://creativecommons.org/licenses/by-nc/3.0/au&rft_subject=oceans&rft.type=dataset&rft.language=English Access the data
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Use Limitation: All AIMS data, products and services are provided "as is" and AIMS does not warrant their fitness for a particular purpose or non-infringement. While AIMS has made every reasonable effort to ensure high quality of the data, products and services, to the extent permitted by law the data, products and services are provided without any warranties of any kind, either expressed or implied, including without limitation any implied warranties of title, merchantability, and fitness for a particular purpose or non-infringement. AIMS make no representation or warranty that the data, products and services are accurate, complete, reliable or current. To the extent permitted by law, AIMS exclude all liability to any person arising directly or indirectly from the use of the data, products and services.

Attribution: Format for citation of metadata sourced from Australian Institute of Marine Science (AIMS) in a list of reference is as follows: "Australian Institute of Marine Science (AIMS). (2010). Mangrove forest productivity in northern Australia and Papua New Guinea. https://apps.aims.gov.au/metadata/view/5a48f245-f5fe-41a1-bafe-961a3a75855e, accessed[date-of-access]".

Resource Usage:Use of the AIMS data is for not-for-profit applications only. All other users shall seek permission for use by contacting AIMS. Acknowledgements as prescribed must be clearly set out in the user's formal communications or publications.

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Brief description

Estimates of potential net primary production were made in the mangroves forests of nine Cape York rivers: Jardine River (1 site); Escape River (3 sites); Harmer Creek (1 site); Olive River (2 sites), Pascoe River (1 site); Nesbit River (1 site); Rocky River (3 sites); Annan River (2 sites) and Annie River (3 sites). Two sites in northwestern Australia (Derby Wharf and Hunter River) and six sites in the delta of the Purari River, Papua New Guinea were also sampled. The sites chosen covered a range of environments from river mouth to upstream tidal limits, had a well developed canopy and usually had an area of at least 50x50m of continuous forest. Soil sampling was carried out at the Olive River, Claudie River, Normanby River, Lockhart River, McIvor River and Endeavour River.At each site, usually >100 light attenuation readings were made at 1m intervals on random walks through the forest. Readings were also taken above the canopy. These measurements enabled the calculation of an average canopy chlorophyll content, which was then converted to a productivity estimate.At sites where soil was sampled, a single core was taken to a depth of 50cm. Five subsamples were taken at 10cm intervals for redox potential measurements in the field and later nutrient analysis (extractable phosphate and extractable ammonium). The water which filled the holes after core extractions was sampled and soil water salinity measured with a portable conductivity meter. This research was initiated to:(1) examine the variation in estimates of potential net primary production (PN) for mangroves, over a wide geographical range.(2) carry out a regional soil sampling survey, which would facilitate examination of the relationship between a range of soil characteristics and PN.

Lineage

Maintenance and Update Frequency: notPlanned
Statement: Statement: Survey Methods:The survey method used to estimate potential net primary productivity is described in:Bunt JS, Boto KG, Boto G (1979) A survey method for estimating potential levels of mangrove forest primary production. Marine Biology 52: 123-128.The methods used for obtaining soil cores, redox measurements and samples for extractable nutrient analysis are described in:Boto KG, Wellington J (1984) Soil characteristics and nutrient status in northern Australian mangrove forests. Estuaries 7: 61-69.

Notes

Credit
Boto, Kevin G, Dr (Principal Investigator)

Modified: 09 08 2024

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Other Information
Variations in mangrove forest productivity in northern Australia and Papua New Guinea: Boto KG, Bunt JS and Wellington JT (1984) Variations in mangrove forest productivity in northern Australia and Papua New Guinea. Estuarine Coastal and Shelf Science 19: 321-329.

local : articleId=1965

Soil characteristics and nutrient status in a Northern Australian mangrove forest: Boto KG and Wellington JT (1984) Soil characteristics and nutrient status in a Northern Australian mangrove forest. Estuaries 7: 61-69.

local : articleId=1805

Nutrient status and other soil factors affecting mangrove productivity in north eastern Australia: Boto KG (1983) Nutrient status and other soil factors affecting mangrove productivity in north-east Australia. Wetlands Australia 3: 45-50.

local : articleId=2121

A survey method for estimating protential levels of mangrove forest primary production: Bunt JS, Boto KG and Boto GM (1979) A survey method for estimating protential levels of mangrove forest primary production. Marine Biology 52: 123-128.

local : articleId=1747

Identifiers
  • global : 5a48f245-f5fe-41a1-bafe-961a3a75855e