Data

Mangrove forest structure, forest primary production and soil factors at Dickson Inlet, Port Douglas, north Queensland

Australian Institute of Marine Science
Australian Institute of Marine Science (AIMS)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=https://apps.aims.gov.au/metadata/view/48cc37cf-0eff-468b-ba22-2ab4a0a27425&rft.title=Mangrove forest structure, forest primary production and soil factors at Dickson Inlet, Port Douglas, north Queensland&rft.identifier=https://apps.aims.gov.au/metadata/view/48cc37cf-0eff-468b-ba22-2ab4a0a27425&rft.publisher=Australian Institute of Marine Science (AIMS)&rft.description=Surveys of the Dickson Inlet mangrove system were conducted over the period 20-23 February 1989. A limited survey of the mangrove forests in the nearby Mowbray River system was carried out in October 1989.Mangrove forest structure was determined by the angle count cruising method, which employs an optical measuring device (relascope) designed especially for rapid basal area estimates of individual tree species and whole forests. At each site, a 360° sweep was carried out using the relascope, with trees falling within the chosen angle scale being counted. The total count for each species or all trees was then simply multiplied by the appropriate factor corresponding to the chosen angle scale to give basal area (m²/ha).Forest potential primary production (Pn) estimates, which provide a good index of the present state of forest health and growth rate, were determined using the light attenuation method. At each of 9 sites (F1-F9), depending on the patchiness of the forest canopy, between 40 and 100 measurements of the intensity of photosynthetically active radiation (PAR) were made using a PAR quantum sensor. These measurements, when compared with the external PAR intensity, provide a measure of the amount of chlorophyll in the forest canopy and, assuming an assimilation constant derived from gas-exchange studies and literature values, provide an estimate of the potential primary production of the forest (kg carbon fixed/ha/day).The long-term, plant-available, nutrient status of the forest soils was estimated by sampling mature leaves of Rhizophora spp. (3 replicate sets of composite samples at each of the 9 sites) and analysing for the major macro nutrient elements which are most likely to be growth-limiting, phosphorus (P), nitrogen (N), iron (Fe) and manganese (Mn). Other soil properties of potential importance in determining forest health such as pH, redox potential (Eh) and salinity were measured in situ using appropriate probes inserted into the soil to a depth of 5-10 cm (pH and Eh) and by measurement of the electrical conductivity of soil water which filled 20-30 cm depth core holes. Soil samples were also taken for determination of sand, silt and clay content and for determination of total nitrogen and organic carbon. Both of these latter parameters provide information on the nutrient retention capacity and present nutrient status of the soil.Creek water samples (W1-W10) were taken at 10 approximately equally-spaced stations along the main channel, with a further sample (sample W11) taken in the same tributary as for forest site F8. Samples were filtered through 0.2 µm Nucleopore filters to provide samples (in duplicate) for later laboratory analyses of dissolved organic carbon and dissolved inorganic nutrients. Dissolved oxygen concentrations were measured using standard polarographic oxygen electrodes calibrated (at zero and saturated levels) just prior to use. One measurement was made at each station by direct immersion of the probe to a depth of about 1 m. Surface water salinity was measured at each station using a conductivity meter. A temperature sensor, built into the conductivity probe, was used to measure the water temperature. This study was undertaken to describe the status of the Dickson Inlet mangrove system, with reference to the forest structure, potential primary production, soil nutrient status and other relevant physico-chemical factors, and water quality. A limited survey of the mangrove forests in the nearby Mowbray River system was carried out in October 1989, to confirm that these forests were similar to the Dickson Inlet forests in terms of species composition. This survey of mangrove forest structure, forest primary production and soil factors of Dickson Inlet was undertaken as part of the Marine and Estuarine Studies section of the Port Douglas and Environs Planning Study, in accordance with the brief from the Premier's Department, through Environment Science and Services.Maintenance and Update Frequency: notPlannedStatement: Statement: The angle count cruising method for studying mangrove structure is described in:Cintron C and Novelli YS (1984) Methods for studying mangrove structure. In: Snedaker SC and Snedaker JG (eds.) The mangrove ecosystem: research methods. UNESCO, Paris. pp. 91-113.The basal area (BA), essentially the space covered by tree stems, is a measurement commonly employed in forestry to estimate wood standing stocks and provides a good quantitative index of the long term history of the growth and health of the forest.The light attenuation method for measuring potential forest primary production is described in:Bunt JS, Boto KG and Boto G (1979) A survey method for estimating potential levels of mangrove forest primary production. Mar. Biol. 52: 123-128.Boto KG, Bunt JS and Wellington JT (1984) Variations in mangrove forest productivity in northern Australia and Papua New Guinea. Estuarine coast. Shelf Sci. 19: 321-329.Previous studies have shown that Rhizophora foliar samples provide a good measure of the long-term soil nutrient availability of mangrove forests. See:Boto KG and Wellington JT (1983) Phosphorus and nitrogen nutritional status of a northern Australian mangrove forest. Mar. Ecol. Prog. Ser. 11: 63-69.Soil properties of potential importance in determining forest health are described in:Boto KG and Wellington JT (1984) Soil characteristics and nutrient status in a northern Australian mangrove forest. Estuaries 7: 61-69.&rft.creator=Australian Institute of Marine Science (AIMS) &rft.date=2025&rft.coverage=westlimit=145.40416; southlimit=-16.517712; eastlimit=145.461947; northlimit=-16.44555&rft.coverage=westlimit=145.40416; southlimit=-16.517712; eastlimit=145.461947; northlimit=-16.44555&rft_rights=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.&rft_rights=The data was collected under contract between AIMS and another party(s). Specific agreements for access and use of the data shall be negotiated separately. Contact the AIMS Data Centre ([email protected]) for further information&rft_subject=oceans&rft.type=dataset&rft.language=English Access the data

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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.

The data was collected under contract between AIMS and another party(s). Specific agreements for access and use of the data shall be negotiated separately. Contact the AIMS Data Centre ([email protected]) for further information

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Surveys of the Dickson Inlet mangrove system were conducted over the period 20-23 February 1989. A limited survey of the mangrove forests in the nearby Mowbray River system was carried out in October 1989.Mangrove forest structure was determined by the "angle count cruising" method, which employs an optical measuring device (relascope) designed especially for rapid basal area estimates of individual tree species and whole forests. At each site, a 360° sweep was carried out using the relascope, with trees falling within the chosen angle scale being counted. The total count for each species or all trees was then simply multiplied by the appropriate factor corresponding to the chosen angle scale to give basal area (m²/ha).Forest potential primary production (Pn) estimates, which provide a good index of the present state of forest health and growth rate, were determined using the light attenuation method. At each of 9 sites (F1-F9), depending on the patchiness of the forest canopy, between 40 and 100 measurements of the intensity of photosynthetically active radiation (PAR) were made using a PAR quantum sensor. These measurements, when compared with the external PAR intensity, provide a measure of the amount of chlorophyll in the forest canopy and, assuming an assimilation constant derived from gas-exchange studies and literature values, provide an estimate of the potential primary production of the forest (kg carbon fixed/ha/day).The long-term, plant-available, nutrient status of the forest soils was estimated by sampling mature leaves of Rhizophora spp. (3 replicate sets of composite samples at each of the 9 sites) and analysing for the major macro nutrient elements which are most likely to be growth-limiting, phosphorus (P), nitrogen (N), iron (Fe) and manganese (Mn). Other soil properties of potential importance in determining forest health such as pH, redox potential (Eh) and salinity were measured in situ using appropriate probes inserted into the soil to a depth of 5-10 cm (pH and Eh) and by measurement of the electrical conductivity of soil water which filled 20-30 cm depth core holes. Soil samples were also taken for determination of sand, silt and clay content and for determination of total nitrogen and organic carbon. Both of these latter parameters provide information on the nutrient retention capacity and present nutrient status of the soil.Creek water samples (W1-W10) were taken at 10 approximately equally-spaced stations along the main channel, with a further sample (sample W11) taken in the same tributary as for forest site F8. Samples were filtered through 0.2 µm Nucleopore filters to provide samples (in duplicate) for later laboratory analyses of dissolved organic carbon and dissolved inorganic nutrients. Dissolved oxygen concentrations were measured using standard polarographic oxygen electrodes calibrated (at zero and saturated levels) just prior to use. One measurement was made at each station by direct immersion of the probe to a depth of about 1 m. Surface water salinity was measured at each station using a conductivity meter. A temperature sensor, built into the conductivity probe, was used to measure the water temperature.
This study was undertaken to describe the status of the Dickson Inlet mangrove system, with reference to the forest structure, potential primary production, soil nutrient status and other relevant physico-chemical factors, and water quality. A limited survey of the mangrove forests in the nearby Mowbray River system was carried out in October 1989, to confirm that these forests were similar to the Dickson Inlet forests in terms of species composition.
This survey of mangrove forest structure, forest primary production and soil factors of Dickson Inlet was undertaken as part of the Marine and Estuarine Studies section of the Port Douglas and Environs Planning Study, in accordance with the brief from the Premier's Department, through Environment Science and Services.

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Maintenance and Update Frequency: notPlanned
Statement: Statement: The "angle count cruising" method for studying mangrove structure is described in:Cintron C and Novelli YS (1984) Methods for studying mangrove structure. In: Snedaker SC and Snedaker JG (eds.) The mangrove ecosystem: research methods. UNESCO, Paris. pp. 91-113.The basal area (BA), essentially the space covered by tree stems, is a measurement commonly employed in forestry to estimate wood standing stocks and provides a good quantitative index of the long term history of the growth and health of the forest.The light attenuation method for measuring potential forest primary production is described in:Bunt JS, Boto KG and Boto G (1979) A survey method for estimating potential levels of mangrove forest primary production. Mar. Biol. 52: 123-128.Boto KG, Bunt JS and Wellington JT (1984) Variations in mangrove forest productivity in northern Australia and Papua New Guinea. Estuarine coast. Shelf Sci. 19: 321-329.Previous studies have shown that Rhizophora foliar samples provide a good measure of the long-term soil nutrient availability of mangrove forests. See:Boto KG and Wellington JT (1983) Phosphorus and nitrogen nutritional status of a northern Australian mangrove forest. Mar. Ecol. Prog. Ser. 11: 63-69.Soil properties of potential importance in determining forest health are described in:Boto KG and Wellington JT (1984) Soil characteristics and nutrient status in a northern Australian mangrove forest. Estuaries 7: 61-69.

Notes

Credit
Clough, Barry F, Dr (Principal Investigator)

Modified: 19 09 2025

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145.46195,-16.44555 145.46195,-16.51771 145.40416,-16.51771 145.40416,-16.44555 145.46195,-16.44555

145.4330535,-16.481631

text: westlimit=145.40416; southlimit=-16.517712; eastlimit=145.461947; northlimit=-16.44555

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global : 28d747ad-0402-445b-bf90-7627db946da8

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  • global : 48cc37cf-0eff-468b-ba22-2ab4a0a27425
ACN 633 798 857