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Pregled bibliografske jedinice broj: 403983

Seagrass monitoring by underwater videography: disturbance regimes, sampling design, and statistical power


Schultz, Stewart
Seagrass monitoring by underwater videography: disturbance regimes, sampling design, and statistical power // Second International Symposium on Environmental Management
Zagreb, Hrvatska, 2008. str. - (predavanje, međunarodna recenzija, sažetak, znanstveni)


CROSBI ID: 403983 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Seagrass monitoring by underwater videography: disturbance regimes, sampling design, and statistical power

Autori
Schultz, Stewart

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni

Izvornik
Second International Symposium on Environmental Management / - , 2008

Skup
Second International Symposium on Environmental Management

Mjesto i datum
Zagreb, Hrvatska, 12.09.2007. - 14.09.2007

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
seagrass ; monitoring ; videography ; DGPS

Sažetak
Marine flowering plants ("seagrasses") are economically and ecologically valuable communities that are undergoing losses in response to anthropgenic activity worldwide. Precise quantification of such losses before they become large and irreversible is necessary for informed scientific management of these valuable resources. This paper is intended as a step towards designing a seagrass monitoring approach capable of 10% loss detection that is feasible under a variety of disturbance regimes and over a useful range of spatial scales. Surface-based underwater videographic field surveys tracked by differential global positioning systems (DGPS) has several useful characteristics, including its high visual resolution, non-destructive sampling, and its applicability to subtidal species at depths where aerial photography is unable to reliably detect losses seen in many species. Within the specific constraints of a surface-based videographic assay of a seagrass meadow, two basic sampling issues need to be addressed: how is statistical power affected by length of region sampled per random start point, and by an unpaired or paired (repeated measures) sampling design within a single meadow? Here I investigate the statistical power of this method applied to a natural meadow and to virtual meadows created by a spatially explicit model of seagrass disturbance, regrowth, and colonization. The approach is found to detect a 5-10% short term loss at 95% probability, with a sampling design emphasizing long transects (400-1500 m) and analysis in which transects are paired before and after disturbance. A field effort function shows that this precision is possible within a single working field day for 1-km² sampling regions. Surface-based videography is a powerful monitoring tool that can provide managers with precise and timely knowledge of small changes in seagrass cover.

Izvorni jezik
Engleski

Znanstvena područja
Biologija



POVEZANOST RADA


Projekti:
269-0000000-3174 - EKOLOGIJA I PRAĆENJE STANJA BENTOSKIH ŽIVOTNIH ZAJEDNICA HRVATSKOGA JADRANA
269-0362975-3174 - EKOLOGIJA I PRAĆENJE STANJA BENTOSKIH ŽIVOTNIH ZAJEDNICA HRVATSKOGA JADRANA (Schultz, Stewart, MZOS ) ( CroRIS)

Ustanove:
Sveučilište u Zadru

Profili:

Avatar Url Stewart Schultz (autor)


Citiraj ovu publikaciju:

Schultz, Stewart
Seagrass monitoring by underwater videography: disturbance regimes, sampling design, and statistical power // Second International Symposium on Environmental Management
Zagreb, Hrvatska, 2008. str. - (predavanje, međunarodna recenzija, sažetak, znanstveni)
Schultz, S. (2008) Seagrass monitoring by underwater videography: disturbance regimes, sampling design, and statistical power. U: Second International Symposium on Environmental Management.
@article{article, author = {Schultz, Stewart}, year = {2008}, pages = {---}, keywords = {seagrass, monitoring, videography, DGPS}, title = {Seagrass monitoring by underwater videography: disturbance regimes, sampling design, and statistical power}, keyword = {seagrass, monitoring, videography, DGPS}, publisherplace = {Zagreb, Hrvatska} }
@article{article, author = {Schultz, Stewart}, year = {2008}, pages = {---}, keywords = {seagrass, monitoring, videography, DGPS}, title = {Seagrass monitoring by underwater videography: disturbance regimes, sampling design, and statistical power}, keyword = {seagrass, monitoring, videography, DGPS}, publisherplace = {Zagreb, Hrvatska} }




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