Estimating the Standing Biomass of Aquatic Macrophytes

Downing, John A.; Anderson, M. Robin

doi:10.1139/f85-234

Cited by 130 publications

(84 citation statements)

References 22 publications

(21 reference statements)

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“…In the field the plant samples are collected at the predetermined locations by a SCUBA diver using the quadrat frame (Madsen 1993) (see Downing and Anderson (1985) for a discussion on the effects of sample quadrat size and number on the results). Plants should be collected in a consistent manner, either keeping or discarding the roots.…”

Section: Methodsmentioning

confidence: 99%

Physical Control of Nonindigenous Aquatic Plants in Emerald Bay, Lake Tahoe, CA

Shaw

Hymanson

Sasaki

2016

Invasive plant sci. manag.

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Establishment of nonindigenous (NI) aquatic plants in the nearshore regions of freshwater ecosystems has resulted in environmental degradation, recreation concerns, economic impacts, and substantial management challenges. To reduce these undesirable effects, NI aquatic plants are often targeted for removal or control by management agencies, but the efficacy of implementation is often not documented or sustained. In this study, we developed a management plan to completely remove all NI plants from Emerald Bay, Lake Tahoe, CA, using only physical control techniques. Management plan priorities were based on previous research and lessons learned, including the need for (1) integrated weed management using multiple physical control techniques, (2) a large initial treatment investment, (3) ongoing early detection and rapid response, (4) detailed ecological monitoring, and (5) a long-term commitment to annual maintenance removal. Application of this management plan resulted in complete removal of all NI aquatic plants from Emerald Bay and substantial cost savings each year after the initial large investment. Annual maintenance removal and monitoring will need to continue as long as NI aquatic plants continue to enter Emerald Bay on boats and currents from other areas of Lake Tahoe.

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Section: Methodsmentioning

confidence: 99%

Physical Control of Nonindigenous Aquatic Plants in Emerald Bay, Lake Tahoe, CA

Shaw

Hymanson

Sasaki

2016

Invasive plant sci. manag.

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“…By knowing the physical information of the submerged during the submerging satellite image acquisition, the forest biomass, using the allometric model [39], might be possibly integrated to quantify seagrass biomass in clear and less clear water. This work will help to sustain coastal sustainability and indirectly reduce the impacts of global climate change as reported by [40,41].…”

Section: Changes Of Stagb Between 2009 and 2013 On The Merambong Shoalmentioning

confidence: 99%

Change Detection of Submerged Seagrass Biomass in Shallow Coastal Water

Misbari

Hashim

2016

Remote Sensing

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Satellite remote sensing is an advanced tool used to characterize seagrass biomass and monitor changes in clear to less-turbid waters by analyzing multi-temporal satellite images. Seagrass information was extracted from the multi-temporal satellite datasets following a two-step procedure: (i) retrieval of substrate-leaving radiances; and (ii) estimation of seagrass total aboveground biomass (STAGB). Firstly, the substrate leaving radiances is determined by compensating the water column correction of the pre-processed data because of the inherent errors associated with the geometric and radiometric fidelities including atmospheric perturbations. Secondly, the seagrass leaving radiances were correlated to the corresponding in situ STAGB to predict seagrass biomass. The relationship between STAGB and cover percentage was then established for seagrass meadows occurring in Merambong, Straits of Johor, Malaysia. By applying the above-mentioned approach on Landsat Thematic Mapper (TM) acquired in 2009 and Operational Land Imager (OLI) data acquired in 2013, the resulting maps indicated that submerged STAGB in less clear water can be successfully quantified empirically from Landsat data, and can be utilized in STAGB change detection over time. Data validation showed a good agreement between in situ STAGB and Landsat TM (R 2 = 0.977, p < 0.001) and OLI (R 2 = 0.975, p < 0.001) derived water leaving radiances for the studied seagrass meadows. The STAGB was estimated as 803˘0.47 kg in 2009, while it was 752.3˘0.34 kg in 2013, suggesting a decrease of 50.7 kg within the four-year interval. This could be mainly due to land reclamation in the intertidal mudflat areas performed, with a view to increase port facilities and coastal landscape development. Statistics on dugong sightings also supports changes in STAGB.

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“…It has long been observed (e.g., Bliss, 1941) for many types of data (e.g., Taylor 1961;Finney, 1976;Downing and Peters, 1980;Real et al, 1982;Downing and Anderson, 1985) that s2 tends to increase as a power function of m. s2 = amb (6) where a and b = fitted coefficients (Taylor, 1971). Taylor (1961Taylor ( ,1965 sug gested on intuitive grounds that "b appears to be a true population statis tic, an 'index of aggregation'" that is independent of m and n (Taylor, 1961), whereas a is largely or wholly a sampling or computing factor.…”

Section: Power Relation Between Variance and Meanmentioning

confidence: 99%