Ouragans et diversité biologique dans les forêts tropicales. L'exemple de la Guadeloupe

Imbert, Daniel; Roustéau, Alain; Labbé, P.

doi:10.1016/s1146-609x(98)80029-5

Cited by 25 publications

(29 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…At our site, stem density and basal area decreased by 15 and 14% respectively, during the first 12 months following Hurricane Hugo (Imbert et al, 1996). However, delayed mortality has been evidenced from multi-year monitoring studies of dry forests: 28% (Dittus, 1985) and 27% (Imbert et al, 1998) of total tree deaths attributable to hurricane impact occurred during the second year following hurricane disturbance. Moreover, data from Whigham et al (1991) indicate that immediate tree mortality (recorded 4 months after the disturbance) accounted for only 21% of the mortality assessed over a 2-year period.…”

Section: Hurricane Impact On Forest Structurementioning

confidence: 61%

“…and function. Impact of Hurricane Hugo and early recovery of vegetation structure were reported elsewhere (Imbert et al, 1996;Imbert et al, 1998). In the present paper, we analyze further aspects of ecosystem resistance and resilience following such hurricane disturbance.…”

Section: Introductionmentioning

confidence: 74%

“…Lugo et al, 1983;Dittus, 1985;Reilly, 1991;Whigham et al, 1991;Harrington et al, 1995;Imbert et al, 1996Imbert et al, , 1998SanchezSanchez and Islebe, 1999;Van Bloem et al, 2005). The contrasting trends that occur from one site to another may thus reflect a wide range of site-specific conditions, including species-specific effects.…”

Section: Resistance To Disturbance and Species Sensitivitymentioning

confidence: 99%

See 2 more Smart Citations

Hurricane disturbance and forest resilience: Assessing structural vs. functional changes in a Caribbean dry forest

Imbert

Portecop

2008

Forest Ecology and Management

Self Cite

View full text Add to dashboard Cite

Section: Hurricane Impact On Forest Structurementioning

confidence: 61%

Section: Introductionmentioning

confidence: 74%

Section: Resistance To Disturbance and Species Sensitivitymentioning

confidence: 99%

See 1 more Smart Citation

Hurricane disturbance and forest resilience: Assessing structural vs. functional changes in a Caribbean dry forest

Imbert

Portecop

2008

Forest Ecology and Management

Self Cite

View full text Add to dashboard Cite

“…The fact that the basal area is less affected by the tree type (SST or MST) is also reassuring for the establishment of allometric relationships based on D 130 such as biomass (Baskerville, 1972;Suzuki and Tagawa, 1983;Woodroffe, 1985;Putz and Chan, 1986;Clough and Scott, 1989;Amarasinghe and Balasubramaniam, 1992a,b;Tam et al, 1995;Slim et al, 1996;Clough et al, 1997;Fromard et al, 1998;Komiyama et al, 2000;Ong et al, 2004). The same is true for the study of density or D 130 -related processes such as competition (Nissen and Midmore, 2002), succession (Smith III, 1992;Lugo, 1997;Duke, 2001), impact assessment (Imbert et al, 1996(Imbert et al, , 1998, or for processes that may be reflected by tree density or D 130 , such as hydrological changes (Ernst and Brooks, 2003;DahdouhGuebas et al, 2005b).…”

Section: The Pcqm+ Protocolmentioning

confidence: 93%

Empirical estimate of the reliability of the use of the Point-Centred Quarter Method (PCQM): Solutions to ambiguous field situations and description of the PCQM+ protocol

Dahdouh‐Guebas

Koedam

2006

Forest Ecology and Management

View full text Add to dashboard Cite

This paper reports problems associated to the use of the Point-Centred Quarter Method (PCQM), as well as their possible solutions. Problematic settings in the application of the PCQM are amongst others due to the presence of multiple-stemmed trees (MST), to ambiguous settings for measuring the sampling point to nearest tree distance or the tree diameter, both of which may result in erroneous estimation of silvimetric variables and parameters. The analysis is based on a database of effective individual tree records including distances, diameters, and heights measured in the field in a Sri Lankan mangrove forest between 1997 and 2002, and randomly compiles a series of records that were used as PCQM sampling points. Various structural forest parameters were calculated, with particular emphasis on density and basal area.After proving that multiple-and single-stemmed trees have different silvimetric characteristics, we adopted an empirical approach to demonstrate the classical PCQM protocol applied to MST generates significantly different densities (overestimation) and basal areas (underestimation) depending on which stems are considered for measurement, and we suggest an adapted PCQM+ protocol (measurement of central stem instead of nearest stem). We test both protocols in two mangrove assemblages (one composed of Excoecaria agallocha only, and an Excoecaria agallocha/Rhizophora apiculata mixed forest) with MST proportions varying between 0% and 100%, at 5% intervals.The results indicated that the classical PCQM protocol generates density and basal area results that are strongly correlated with the MST proportion in the assemblage ( p < 0.001), whereas the PCQM+ protocol shows a robustness with no such correlations for density. For basal area the results of the PCQM+ protocol showed a weak correlation with the MST proportion, and regression-ANCOVA results indicated that they were significantly different from those of the highly sensitive PCQM protocol ( p < 0.001).Finally, we conclude by writing out the entire PCQM+ protocol, elaborating on the solutions to other common problems related to ambiguous settings for the consideration of stems or the measurement of their diameter (aerial roots, split trunks, dwarf growth, horizontally developing stems, boundary of an individual in MST, selectively cut trees or tree parts, very sparse assemblages, use of PCQM for remote sensing ground-truth), and by nevertheless highlighting the potential of the PCQM/PCQM+ approach. Although we used a mangrove forest data set, the PCQ-Method and our suggestions are widely applicable to other forest types. In addition, this paper is accompanied by the first interface that automatically processes standard PCQM-related data (regardless of forest type) to generate common silvimetric or forestry parameters elaborated in this paper, and it is freely available in Appendix C and from

show abstract

“…Among these processes, perturbations have been considered of high importance and have led to an ongoing debate on the intermediate disturbance hypothesis, which states that species richness is maximized at intermediate levels of disturbance (Grime 1973;Connell 1978; see reviews by Mackey & Currie 2001;Sheil & Burslem 2003;Shea et al 2004). The situation of mangroves along tropical coastlines favours potential damage by major destruction events such as hurricanes or tropical storms (Imbert et al 1998). Smith & Duke (1987) addressed the question of disturbance effects on mangrove tree diversity in Northern Australia.…”

Section: Introductionmentioning

confidence: 99%

Testing the intermediate disturbance hypothesis in species‐poor systems: A simulation experiment for mangrove forests

Piou¹,

Berger²,

Hildenbrandt³

et al. 2008

J Vegetation Science

View full text Add to dashboard Cite

Questions: What factors influence tree species diversity of mangrove forests, an example of species-poor systems? What are the respective importance and interactions of these factors? Is the intermediate disturbance hypothesis applicable to such systems? Methods: We used the spatially explicit individual-based model KiWi to investigate the effects on species diversity of perturbation frequency and intensity, different abiotic conditions, and interspecific competition simulated at the individual level. The simulation system considered the three dominant Caribbean mangrove species: Rhizophora mangle, Avicennia germinans and Laguncularia racemosa, applying species-specific growth and mortality characteristics. Firstly, effects on species dominance of the abiotic conditions nutrient availability and porewater salinity were tested with two competition scenarios. Secondly, the effect of perturbation frequency and intensity were investigated with selected abiotic conditions. Results: Abiotic conditions influenced species dominance and, in extreme cases, excluded one or two species. Abiotic and competition settings controlled the successional dynamics and the response of species dominance to perturbation regimes. A response consistent with the intermediate disturbance hypothesis was observed only with a configuration of plant interaction in which one species behaved as a pioneer so that succession occurred by competitive exclusion. Conclusions: We suggest that successional dynamics interact with the intensity and timing of perturbations and determine whether or not mangrove tree diversity conforms to predictions of the intermediate disturbance hypothesis. For mangroves, these successional dynamics are site-specific depending on abiotic conditions and species configurations.Keywords: Individual-based modeling; Interspecific competition; KiWi model; Perturbation regime; Species dominance; Succession.Abbreviations: FON = Field of Neighbourhood; IDH = Intermediate disturbance hypothesis; I SDH = Index of species dominance heterogeneity; psu = Practical salinity units; RNA = Relative nutrient availability.

show abstract

Ouragans et diversité biologique dans les forêts tropicales. L'exemple de la Guadeloupe

Cited by 25 publications

References 22 publications

Hurricane disturbance and forest resilience: Assessing structural vs. functional changes in a Caribbean dry forest

Hurricane disturbance and forest resilience: Assessing structural vs. functional changes in a Caribbean dry forest

Empirical estimate of the reliability of the use of the Point-Centred Quarter Method (PCQM): Solutions to ambiguous field situations and description of the PCQM+ protocol

Testing the intermediate disturbance hypothesis in species‐poor systems: A simulation experiment for mangrove forests

Contact Info

Product

Resources

About