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opencc-by-4.0Jun 2024View details →

Considerations for high-resolution regional meteorological wind modelling over complex terrain: a typhoon case study for assessing forestry damage (data)

This is the experiment data. The Weather Research and Forecasting (WRF) model is a popular and easily used as a numerical weather prediction (NWP) model, but configuring WRF to produce accurate results can be time-consuming. This is especially so when simulating extreme events, over complex terrain, or at high resolutions. In this study, a strong wind event from Tropical Cyclone (TC) Thad in year 1981 was simulated at 200 m resolution over an experiment forest in a mountainous region of Hokkaido island, Japan. The simulation configuration is challenging, in order to cover a larger area to produce a TC with appropriate track and intensity, and at the same time to resolve the smallest domain of sub-km grid spacing with computational stability. A mixed nesting method was applied with two-way nesting up for the first three domains, followed a separate simulation over the smallest domain. The mixed method could produce 10 min wind speed distributions similar to that of the full simulation with two-way nesting of all four domains, if a 30-minute boundary update interval was used for the separate simulation. Mixed nesting improves the efficiency of the simulation process, since the larger phenomenon scale and smaller human impact scale can be tuned separately.

opencc-zeroAug 2019View details →

FIG. 1 in Response of bryophytes to disturbances in managed forests. A case study from a Polish forest

FIG. 1. — Number of bryophyte species in the four types of substrates considered.

opencc-by-4.0Jun 2024View details →

Data for publication of "Gaussian process regression-based Bayesian optimisation (G-BO) of model parameters - a WRF model case study of southeast Australia heat extremes"

Implementation of Gaussian process regression-based Bayesian optimisation (G-BO) using the emcee package (<a href="https://emcee.readthedocs.io/en/stable/" rel="nofollow">https://emcee.readthedocs.io/en/stable/</a>). For more information about the implementation of G-BO in optimising the Weather Research and Forecasting (WRF) model parameters, please refer to the paper - <a href="https://essopenarchive.org/doi/full/10.22541/essoar.171292045.52489731" rel="nofollow">Gaussian process regression-based Bayesian optimisation (G-BO) of model parameters - a WRF model case study of southeast Australia heat extremes</a>. <code>G-BO_script.ipynb</code> implements the GPR-based Bayesian optimisation using the Affine Invariant Markov chain Monte Carlo (MCMC) Ensemble sampler. <ul> <li>QMC_sobol_samples: This file contains the 128 parameter samples across the parameter space of three sensitive parameters utilizing the Quasi Monte-Carlo (QMC) Sobol sequence design.</li> <li>nmae_all_128_ens_T_Rh: This file contains the normalised mean absolute error (NMAE) values of temperature (T) and relative humidity (Rh) of the 128 parameter sample WRF simulations. For more details, please refer to <a href="https://essopenarchive.org/doi/full/10.22541/essoar.171292045.52489731" rel="nofollow">this link</a>.</li> </ul>

opencc-by-4.0Feb 2013View details →

Fig. 4 in The nematode assemblage as a tool for the assessment of marine ecological quality status: a case-study in the Central Adriatic Sea

Fig. 4: nMDS plot of the nematode assemblages (fourth root transformed).

opencc-by-4.0Feb 2013View details →

Fig. 1 in The nematode assemblage as a tool for the assessment of marine ecological quality status: a case-study in the Central Adriatic Sea

Fig. 1: Geographical position of the study area.

Fig 4 in Evaluating the sustainability of fishery resources and fishing gears: Case study of Ngoyè and Elabè, Kribi, South Cameroon

Fig 4: Catch profiles: a) Beach seine; b) bottom-set gillnet

Fig 2 in Evaluating the sustainability of fishery resources and fishing gears: Case study of Ngoyè and Elabè, Kribi, South Cameroon

Fig 2: Distribution of beach seines according to mesh size

Fig 1 in Evaluating the sustainability of fishery resources and fishing gears: Case study of Ngoyè and Elabè, Kribi, South Cameroon

Fig 1: Localisation study area

Fig 3 in Evaluating the sustainability of fishery resources and fishing gears: Case study of Ngoyè and Elabè, Kribi, South Cameroon

Fig 3: Distribution of bottom gillnets according to mesh size

opencc-by-4.0Jun 2024View details →

Biogeographic patterns in the Chocó region: A case study of Inga Mill (Leguminosae)

This thesis addresses the Chocó region, recognized as one of the wettest, most biodiverse, and least documented areas on Earth. Here, I present a new ecological delimitation of the Chocó, integrating climatic and geographical data. The proposed area differs from previous delimitations because it includes geographically contiguous and climatically similar rain forests distributed throughout southern Panama, the Colombian Pacific, the humid system of the Magdalena River in northern Colombia, and northern Ecuador, covering an area of 162,800km². The genus Inga (Leguminosae: Caesalpinioideae) is employed as a model to elucidate the biogeographic patterns driving the historical assembly of the flora in this region. While the diversity of the Chocó is explained by its isolation by the Andean cordillera, and it has been classified as the oldest and most isolated Pleistocene refuge in the Neotropics, recent studies suggest plant migration as a complementary phenomenon enhancing its floristic diversity. Inga’s species diversity is concentrated in the Amazon basin (145 species), yet its presence in the Chocó is scantily studied and here I show 78 species and morphological variants of species to be present in the Chocó, nearly doubling estimates in recent taxonomic accounts. This new estimate of species number for the Chocó is based on fieldwork, taxonomic studies of herbarium specimens and phylogenetic analysis of target-capture DNA sequences. Biogeographic analysis using BioGeoBears highlights the role of both dispersal and in-situ speciation in developing the species diversity of Inga in the Chocó after first colonization approximately 10 million years ago. Finally, two new species of Inga (Inga calimaensis and Inga crassanectaria), endemic to the Chocó are described. This study contributes to understanding both the diversification of the flora of the Chocó and refining the taxonomy of the genus Inga.

opencc-by-4.0Dec 2004View details →

Fig. 4 in A New Measure Of Conservation Value Combining Rarity And Ecological Diversity: A Case Study With Light Trap Collected Caddisflies (Insecta: Trichoptera)

Fig. 4. The relationship between diversity (D) and rarity (RAR-index) of the samples

Fig. 8 in Biodiversity of aquatic Heteroptera in relation to physico-chemical parameters, the Biological Reserve of Sidi Boughaba and the Merja of Fouarat as a case studies (Gharb Plain, Morocco)

Fig. 8. Distribution of species in relation to surveyed stations.

Fig. 5 in Biodiversity of aquatic Heteroptera in relation to physico-chemical parameters, the Biological Reserve of Sidi Boughaba and the Merja of Fouarat as a case studies (Gharb Plain, Morocco)

Fig. 5. Species richness collected in each study area.

Fig. 3 in Biodiversity of aquatic Heteroptera in relation to physico-chemical parameters, the Biological Reserve of Sidi Boughaba and the Merja of Fouarat as a case studies (Gharb Plain, Morocco)

Fig. 3. Geographical location of the Merja of Fouarat.

Fig 2 in Biodiversity of aquatic Heteroptera in relation to physico-chemical parameters, the Biological Reserve of Sidi Boughaba and the Merja of Fouarat as a case studies (Gharb Plain, Morocco)

Fig 2. Geographical location of the biological reserve of Sidi Boughaba.

Fig. 4 in Biodiversity of aquatic Heteroptera in relation to physico-chemical parameters, the Biological Reserve of Sidi Boughaba and the Merja of Fouarat as a case studies (Gharb Plain, Morocco)

Fig. 4. Species richness of the different families in all the study areas.

Fig. 7 in Biodiversity of aquatic Heteroptera in relation to physico-chemical parameters, the Biological Reserve of Sidi Boughaba and the Merja of Fouarat as a case studies (Gharb Plain, Morocco)

Fig. 7. Projection of the points representing the surveyed stations.

Fig 1 in Biodiversity of aquatic Heteroptera in relation to physico-chemical parameters, the Biological Reserve of Sidi Boughaba and the Merja of Fouarat as a case studies (Gharb Plain, Morocco)

Fig 1. Geographical location of the Gharb plain.

Fig. 6 in Biodiversity of aquatic Heteroptera in relation to physico-chemical parameters, the Biological Reserve of Sidi Boughaba and the Merja of Fouarat as a case studies (Gharb Plain, Morocco)

Fig. 6. Projection of the points representing the physico-chemical parameters.