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44 results for “Natural disturbance”

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zenodo32/100

Figure 1 in Tardigrade diversity: an evaluation of natural and disturbed environments of the province of Salta (Argentina)

Figure 1. Sample site locations in urban, rural and native communities in relation to central Salta province. NR9, National Route No. 9.

opennotspecifiedNov 2016View details →
zenodo32/100

Supplementary material 1 from: Sosa-López JR, Díaz Bernal NN, Padilla E, Briones-Salas M (2023) Analysis of the effects of habitat characteristics, human disturbance and prey on felids presence using long-term community monitoring information. Nature Conservation 53: 279-295. https://doi.org/10.3897/natureconservation.53.104135

Sampling sites and dates on which the camera-traps were installed and Generalized linear mixed models (GLMM) for Puma, Bobcat and Margay

opencc-zeroOct 2023View details →
dryad32/100

Data from: Catastrophic storms, forest disturbance, and the natural history of Swainson's warbler

<p>The core breeding range of Swainson's warbler (<em>Limnothlypis swainsonii</em>) overlaps a zone of exceptionally high tornado frequency in southeastern North America. The importance of tornadoes in creating breeding habitat for this globally rare warbler and other disturbance-dependent species has been largely overlooked. This paper estimates tornado frequency (1950–2021) and forest disturbance in the 240 counties and parishes in which breeding was documented from 1988 to 2014. The frequency of destructive tornadoes (EF1-EF5) varied 6-fold across the breeding range with a peak in the Gulf Coast states. Counties from east Texas to Alabama experienced the lowest median return interval of 5.4 years per 1000 km<sup>2</sup>, resulting in approximately 2477 ha of forest damage per 1000 km<sup>2</sup> per century, based on current forestland cover. Tornadoes were significantly less frequent north and east of the core breeding range, with return intervals increasing to 9.1 years per 1000 km<sup>2</sup> for breeding counties on the Atlantic coastal plain, 10.2 years per 1000 km<sup>2</sup> in the Ozark Mountains, and 32.3 years per 1000 km<sup>2</sup> in the Appalachian Mountains. Breeding counties within 150 km of the coastline from east Texas to North Carolina are also subjected to the highest frequency of hurricanes in the Western Hemisphere. Hurricanes often cause massive forest damage but archived meteorological and forestry data are insufficient to estimate the aggregate extent of forest disturbance in breeding counties. Nevertheless, the combined impact of tornadoes and hurricanes in the pre-Anthropogenic era was likely sufficient to produce a dynamic mosaic of early-successional forest crucial for the breeding ecology of Swainson's warbler. To ensure the long-term survival of this rare warbler, it is advisable to develop habitat management plans that incorporate remote sensing data on early-successional forest generated by catastrophic storms as well as anthropogenic activities.</p> <p>This dataset comprises a catalog of 1717 song recordings of male Swainson's warblers (<em>Limnothlypis swainsonii</em>) on breeding territories in the southeastern United States.  Songs were recorded from 1988 to 2014.  The spreadsheet includes song recording field number (GRG), state, county or parish, date, latitude, and longitude. Breeding territories were located in 240 counties and parishes, which served as the geographic template for storm data analysis.  Geographic coordinates were plotted in Fig 1 of "Catastrophic storms, forest disturbance, and the natural history of Swainson's warbler" (doi.org/10.1002/ece3.11099). Questions or inquiries regarding the dataset can be directed to the author.  </p>

opencc-zeroMar 2024View details →
zenodo32/100

Code and data for "Mapping the natural disturbance risk to protective forests across the European Alps"

<p>This repository holds the code and output data for the publication entitled "Mapping the natural disturbance risk to protective forests across the European Alps",<br>accepted in the Journal of Environmental Management, see <a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/j.jenvman.2024.121659" target="_blank" rel="noreferrer noopener"><span>https://doi.org/10.1016/j.jenvman.2024.121659</span></a></p> <p>The output maps can be viewed online here:&nbsp;<a href="https://risiko-gebirgswald.shinyapps.io/maps/">https://risiko-gebirgswald.shinyapps.io/maps/&nbsp;</a></p> <ul> <li><strong>lib</strong>: scripts used for data processing and analysis</li> <li><strong>Alps</strong>: output data (hazard, vulnerability and risk maps) for the European Alps</li> <li><strong>Bayern</strong>: output data (hazard, vulnerability and risk maps) for the Bavarian Alps</li> </ul> <p>All of the data used in this study are publicly available:</p> <ul> <li>GEDI Level 2A and 2B products can be downloaded at<a href="https://lpdaac.usgs.gov/products/gedi02_av002/"> https://lpdaac.usgs.gov/products/gedi02_av002/ </a>and <a href="https://lpdaac.usgs.gov/products/gedi02_bv002/">https://lpdaac.usgs.gov/products/gedi02_bv002/</a>, respectively.&nbsp;</li> <li>The European disturbance map (Senf &amp; Seidl, 2021) is available at <a href="https://doi.org/10.5281/zenodo.3924381">https://doi.org/10.5281/zenodo.3924381&nbsp;</a></li> <li>The attribution of disturbance agents for the disturbance map is available at <a href="../records/4607230">https://zenodo.org/records/4607230</a></li> <li>CHELSA climate data is available at <a href="https://www.chelsa-climate.org">www.chelsa-climate.org</a></li> <li>The Copernicus DEM can be downloaded from <a href="https://land.copernicus.eu/imagery-in-situ/eu-dem/eu-dem-v1.1.">https://land.copernicus.eu/imagery-in-situ/eu-dem/eu-dem-v1.1.</a></li> <li>Wind data were obtained from <a href="https://map.neweuropeanwindatlas.eu/">https://map.neweuropeanwindatlas.eu/</a></li> <li>Soil data were obtained from <a href="https://esdac.jrc.ec.europa.eu/content/european-soil-database-v20-vector-and-attribute-data.">https://esdac.jrc.ec.europa.eu/content/european-soil-database-v20-vector-and-attribute-data.&nbsp;</a></li> <li>The boundary of the Alpine convention is available at <a href="https://www.atlas.alpconv.org/layers/geonode_data:geonode:Alpine_Convention_Perimeter_2018_v2">https://www.atlas.alpconv.org/layers/geonode_data:geonode:Alpine_Convention_Perimeter_2018_v2&nbsp;</a></li> </ul>

opencc-by-4.0Jul 2024View details →
dryad32/100

Data from: Population genetics reveals high connectivity of giant panda populations across human disturbance features in key nature reserve

The giant panda is an example of a species that has faced extensive historical habitat fragmentation and anthropogenic disturbance, and is assumed to be isolated in numerous subpopulations with limited gene flow between them. To investigate the population size, health and connectivity of pandas in a key habitat area, we noninvasively collected a total of 539 fresh wild giant panda fecal samples for DNA extraction within Wolong Nature Reserve, Sichuan, China. Seven validated tetra-microsatellite markers were used to analyze each sample, and a total of 142 unique genotypes were identified. Non-spatial and spatial capture-recapture models estimated the population size of the reserve at 164 and 137 individuals (95% confidence intervals 153-175 and 115-163), respectively. Relatively high levels of genetic variation and low levels of inbreeding were estimated, indicating adequate genetic diversity. Surprisingly, no significant genetic boundaries were found within the population despite the national road G350 that bisects the reserve, which is also bordered with patches of development and agricultural land. We attribute this to high rates of migration, with 4 giant panda road-crossing events confirmed within a year based on repeated captures of individuals. This likely means that giant panda populations within mountain ranges are better connected than previously thought. Increased development and tourism traffic in the area and throughout the current panda distribution poses a threat of increasing population isolation, however. Maintaining and restoring adequate habitat corridors for dispersal is thus a vital step for preserving the levels of gene flow seen in our analysis and the continued conservation of the giant panda meta-population in both Wolong and throughout their current range.

opencc-zeroDec 2018View details →
dryad32/100

Data from: Demographic stimulation of the obligate understorey herb, Panax quinquefolius L., in response to natural forest canopy disturbances

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publicOct 2017View details →
dryad32/100

Data from: Human disturbance causes the formation of a hybrid swarm between two naturally sympatric fish species

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publicJan 2014View details →
dryad32/100

Data from: Catastrophic storms, forest disturbance, and the natural history of Swainson’s warbler

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publicApr 2024View details →
dryad32/100

Data from: Population genetics reveals high connectivity of giant panda populations across human disturbance features in key nature reserve

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publicJan 2019View details →
dryad32/100

Data from: Natural disturbances can produce misleading bioassessment results: identifying metrics to detect anthropogenic impacts in intermittent rivers

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publicDec 2019View details →
dryad28/100

Data from: Large-scale natural disturbance alters genetic population structure of the sailfin molly, Poecilia latipinna

Many inferences about contemporary rates of gene flow are based on the assumption that the observed genetic structure among populations is stable. Recent studies have uncovered several cases in which this assumption is tenuous. Most of those studies have focused on the effects that regular environmental fluctuations can have on genetic structure and gene flow patterns. Occasional catastrophic disturbances could also alter either the distribution of habitat or the spatial distribution of organisms in a way that affects population structure. However, evidence of such effects is sparse in the literature because it is difficult to obtain. Hurricanes, in particular, have the potential to exert dramatic effects on population structure of organisms found on islands or coral reefs or in near shore and coastal habitats. Here we draw on a historic genetic data set and new data to suggest that the genetic structure of sailfin molly (Poecilia latipinna) populations in north Florida was altered dramatically by an unusually large and uncommon type of storm surge associated with Hurricane Dennis in 2005. We compare the spatial pattern of genetic variation in these populations after Hurricane Dennis to the patterns described in an earlier study in this same area. We use comparable genetic data from another region of Florida, collected in the same two periods, to estimate the amount of change expected from typical temporal variation in population structure. The comparative natural history of sailfin mollies in these two regions indicates that the change in population structure produced by the storm surge is not the result of many local extinctions with recolonization from a few refugia but emerged from a pattern of mixing and redistribution.

opencc-zeroDec 2011View details →
zenodo28/100

Interactions between successive disturbances are driven by the nature, intensity and the time interval between events

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opencc-by-4.0Apr 2024View details →
zenodo28/100

Figure 4 from: Costa L, Machado P, Zalmon I (2019) Do natural disturbances have significant effects on sandy beach macrofauna of Southeastern Brazil? Zoologia 36: 1-10. https://doi.org/10.3897/zoologia.36.e29814

Figure 4 Number of species (richness) and density (individuals/m2) for the dissipative (Manguinhos Beach) and intermediate (Grussaí Beach) beaches in the dry (July/2012, August/2012, July/2013 and September/2013) and rainy (January/2013, February/2013, March/2014 and April/2014) seasons.

opencc-by-4.0Oct 2019View details →
zenodo28/100

Figure 6 from: Costa L, Machado P, Zalmon I (2019) Do natural disturbances have significant effects on sandy beach macrofauna of Southeastern Brazil? Zoologia 36: 1-10. https://doi.org/10.3897/zoologia.36.e29814

Figure 6 Factorial diagram of the Canonical Correspondence Analysis, including environmental variables (wave height, wave period, swash time, organic matter%, rainfall and frequency of storm wave events) and macrofauna species on Grussaí and Manguinhos beaches. Ab: Atlantorchestoideabrasiliensis; Dh: Donaxhanleyanus; Eb: Emeritabrasiliensis; Exb: Excirolanabraziliensis; Hc: Hemipodiacaliforniensis; Mys: Mysida sp.; Nem: Nemertea; Olig: Oligochaeta; Ov: Olivancillariavesica; Pen: Peneidae; Pue: Puelche sp.; Sco: Scolelepis sp.; Tt: Talorchestiatucurauna.

opencc-by-4.0Oct 2019View details →
zenodo28/100

Figure 5 from: Costa L, Machado P, Zalmon I (2019) Do natural disturbances have significant effects on sandy beach macrofauna of Southeastern Brazil? Zoologia 36: 1-10. https://doi.org/10.3897/zoologia.36.e29814

Figure 5 Regression analysis of the macrofauna richness and density as function of the number of storm wave events (SWE) and wave height, respectively. The pink dots represent each dependent (marine debris on ghost crab burrow) and independent variables (distance from urban settlements). Blue shaded area indicates 95% confidence intervals and pink line is the distribution of residuals. Blue line is the regression straight. Only significant (p &lt; 0.05) predictors were considered in the effects plot.

opencc-by-4.0Oct 2019View details →
zenodo28/100

Figure 3 from: Costa L, Machado P, Zalmon I (2019) Do natural disturbances have significant effects on sandy beach macrofauna of Southeastern Brazil? Zoologia 36: 1-10. https://doi.org/10.3897/zoologia.36.e29814

Figure 3 Monthly discharge of Paraíba do Sul River and rainfall. River discharge and rainfall are correlated variables (R&gt; 0.5). Rainfall data refer to Campos dos Goytacazes municipality (40–50 km from Grussaí and Manguinhos beaches) and was obtained from National Institute for Meteorology (INMET: http://www.inmet.gov.br).

opencc-by-4.0Oct 2019View details →
zenodo28/100

Figure 2 from: Costa L, Machado P, Zalmon I (2019) Do natural disturbances have significant effects on sandy beach macrofauna of Southeastern Brazil? Zoologia 36: 1-10. https://doi.org/10.3897/zoologia.36.e29814

Figure 2 Sampling design for macrofauna collection in the intertidal zone. Each station included three pooled samplings per strata (upper, middle and lower) of the intertidal zone as sampling unit.

opencc-by-4.0Oct 2019View details →
zenodo28/100

Figure 1 from: Costa L, Machado P, Zalmon I (2019) Do natural disturbances have significant effects on sandy beach macrofauna of Southeastern Brazil? Zoologia 36: 1-10. https://doi.org/10.3897/zoologia.36.e29814

Figure 1 Map of the study area showing Grussaí Beach and Manguinhos Beach, in northern Rio de Janeiro, Brazil.

opencc-by-4.0Oct 2019View details →
dryad28/100

Natural disturbance impacts on trade-offs and co-benefits of forest biodiversity and carbon

<p>With accelerating environmental change, understanding the influence of forest disturbances and trade-offs between biodiversity and carbon dynamics is of high socio-economic importance. Most studies, however, have assessed immediate or short-term effects of disturbance, while long-term impacts remain poorly understood. Here, using a tree-ring-based approach, we modelled the effect of 250 years of disturbances on present-day biodiversity indicators and carbon dynamics in well-preserved European temperate primary forests. Our results indicated that disturbance legacies spanning centuries shaped contemporary forest co-benefits and trade-offs, with contrasting, local-scale effects. In the short-term, disturbances enhanced carbon sequestration, reaching maximum rates within a comparatively narrow post-disturbance window (up to 50 years). Concurrently, disturbance diminished aboveground carbon storage, which gradually returned to peak levels over centuries. Temporal patterns in biodiversity potential were bimodal; the first maximum coincided with the short-term post-disturbance carbon sequestration peak, and the second occurred during periods of maximum carbon storage in complex old growth. However, despite fluctuating local-scale trade-offs, forest biodiversity and carbon storage remained stable across the broader study region. These findings underscore the dynamic interdependencies of forest processes, and highlight the necessity of large-scale conservation programs to effectively promote both biodiversity and long-term carbon storage, particularly given the accelerating global biodiversity and climate crises.</p>

opencc-zeroSep 2021View details →
dryad28/100

Millennial-scale change in Caribbean coral reef ecosystem structure and the role of human and natural disturbance

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publicNov 2019View details →

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