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15 results for “ecological engineer”
Making virtual species less virtual by reverse engineering of spatiotemporal ecological models v3
<p>The most up-to-date version of the archive that contains all the necessary data to perform analyses supporting the paper <em>Making virtual species less virtual by reverse engineering of spatiotemporal ecological models </em>(<a href="https://doi.org/10.1111/2041-210X.14176">https://doi.org/10.1111/2041-210X.14176</a>) .</p> <p>The research was supported by the National Science Centre, Poland (grant no. 2018/29/B/NZ8/00066) and Poznań Supercomputing and Networking Centre (grant no. 403). </p> <p> </p>
Data from: Human activities modulate reciprocal effects of a subterranean ecological engineer rodent, Tachyoryctes macrocephalus, on Afroalpine vegetation cover
<p class="MsoNormalCxSpFirst"><span>Human activities, directly and indirectly, impact ecological engineering activities of subterranean rodents. As engineering activities of burrowing rodents are affected by, and reciprocally affect vegetation cover via feeding, burrowing and mound building, human influence such as settlements and livestock grazing, could have cascading effects on biodiversity and ecosystem processes such as bioturbation. However, there is limited understanding of the relationship between human activities and burrowing rodents. The aim of this study was therefore to understand how human activities influence the ecological engineering activity of the giant root-rat (<em>Tachyoryctes macrocephalus</em>), a subterranean rodent species endemic to the Afroalpine ecosystem of the Bale Mountains of Ethiopia. We collected data on human impact, burrowing activity and vegetation during February and March of 2021. Using path analysis, we tested (1) direct effects of human settlement on the patterns of livestock grazing intensity, (2) direct and indirect impacts of humans and livestock grazing intensity on the root-rat burrow density, and (3) whether human settlement and livestock grazing influence the effects of giant root-rat burrow density on vegetation and <em>vice versa</em>. We found lower levels of livestock grazing intensity further from human settlement than in its proximity. We also found a significantly increased giant root-rat burrow density with increasing livestock grazing intensity. Seasonal settlement and livestock grazing intensity had an indirect negative and positive effect on giant root-rat burrow density, respectively, both via vegetation cover. Analysing the reciprocal effects of giant root-rat on vegetation, we found a significantly decreased vegetation cover with increasing density of giant root-rat burrows, and indirectly with increasing livestock grazing intensity via giant root-rat burrow density. Our results demonstrate that giant root-rats play a synanthropic engineering role that affects vegetation structure and ecosystem processes. </span></p>
Data from: Ecological effects of habitat complexity vary with intertidal elevation: Implications for seawall eco-engineering
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Data from: Human activities modulate reciprocal effects of a subterranean ecological engineer rodent, Tachyoryctes macrocephalus, on Afroalpine vegetation cover
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Data from: Ecosystem engineers shape ecological network structure and stability: a framework and literature review
<p>Ecosystem engineering is a ubiquitous process where species influence the physical environment and thereby structure ecological communities. However, there has been little effort to synthesise or predict how ecosystem engineering may impact the structure and stability of interaction networks. To assess the current scientific understanding of ecosystem engineering impacts via habitat forming, habitat modification, and bioturbation on interaction networks/food webs, we reviewed the literature covering marine, freshwater, and terrestrial food webs, plant-pollinator networks, and theory. We provide a conceptual framework and identify three major pathways of engineering impact on networks through changes in resource availability and energy flow, habitat heterogeneity, and environmental filtering. These three processes often work in concert and most studies report that engineering increases species richness. This is particularly marked for engineers that increase habitat heterogeneity and thereby the number of available niches. The response of network structure to ecosystem engineering varies, however some patterns emerge from this review. Engineered habitat heterogeneity leads to a higher number of links between species in the networks and increases link density. Connectance can be negatively or positively affected by ecosystem engineer impact, depending on the engineering pathway and the engineer impact of species richness. We discuss how ecosystem engineers can stabilize or destabilize communities through the changes in niche space, diversity, network structure, and the dependency on the engineering impact. Theory and empirical evidence need to inform each other to better integrate ecosystem engineering and ecological networks. A mechanistic understanding how ecosystem engineering traits shape interactions networks and their stability will be important to predict species extinctions and can provide crucial information for conservation and ecosystem restoration.</p>
Figure 9 in Natural history and ecology of the slender crayfish (Faxonius compressus): an ecosystem engineer in the Western Highland Rim, USA
Figure 9. The mean carapace length of Faxonius compressus collected across 33 sites, based on the macrohabitat type and the water depth at which they were collected. Boxes indicate the treatments̍ interquartile range, and points represent our raw data.
Figure 6 in Natural history and ecology of the slender crayfish (Faxonius compressus): an ecosystem engineer in the Western Highland Rim, USA
Figure 6. The density of burrows counted within a 0.25 m2 quadrat based on three separate macrohabitat types across 33 different sites. Boxes indicate the treatments̍ interquartile range, and points represent our raw data.
Figure 5 in Natural history and ecology of the slender crayfish (Faxonius compressus): an ecosystem engineer in the Western Highland Rim, USA
Figure 5. Fish species that we documented utilising crayfish burrows. Note that not all photographs depict the fish utilising crayfish burrows. (A) Fantail darter, Etheostoma flabellare. (B) Rainbow darter, Etheostoma caeruleum. (C) Saffron darter, Etheostoma flavum. (D) Redline darter, Etheostoma rifilineatum. (E) Gaurdian darter, Etheostoma oophylax. (F) Banded sculpin, Cottus carolinae.
Figure 1 in Natural history and ecology of the slender crayfish (Faxonius compressus): an ecosystem engineer in the Western Highland Rim, USA
Figure 1. (A) Adult male slender crayfish, Faxonius compressus. (B) Morphology of F. compressus claw.
Figure 4 in Natural history and ecology of the slender crayfish (Faxonius compressus): an ecosystem engineer in the Western Highland Rim, USA
Figure 4. Co-occurring crayfish species encountered alongside Faxonius compressus within our study area. (A) The hillbilly hairy crayfish, Cambarus polypilosus. (B) Saddleback crayfish, Faxonius durrelli. (C) A juvenile F. durrelli using a hyporheic burrow. (D) An adult big claw crayfish, Faxonius placidus, using a hyporheic burrow.
Figure 2 in Natural history and ecology of the slender crayfish (Faxonius compressus): an ecosystem engineer in the Western Highland Rim, USA
Figure 2. (A) Typical view of Faxonius compressus habitat with an abundance of chert gravel and cobble. Large boulders are rare or entirely absent. (B) Benthic view of typical F. compressus habitat, with ample interstitial space allowing for the excavation of interstitial burrows. (C,D) Examples of F. compressus hyporheic burrows within the chert substrate on the stream benthos.
Figure 8 in Natural history and ecology of the slender crayfish (Faxonius compressus): an ecosystem engineer in the Western Highland Rim, USA
Figure 8. The number of Faxonius compressus collected across 33 sites based on the macrohabitat type and the water depth at which they were collected. Boxes indicate the treatments̍ interquartile range, and points represent our raw data.
Figure 7 in Natural history and ecology of the slender crayfish (Faxonius compressus): an ecosystem engineer in the Western Highland Rim, USA
Figure 7. The relationship between estimated water depth and the density of burrows counted within a 0.25 m2 quadrat. Black circles represent our raw data, and the dashed line presents the linear relationship between water depth and burrow density.
Data from: Ecosystem engineers shape ecological network structure and stability: a framework and literature review
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Figure 3 in Natural history and ecology of the slender crayfish (Faxonius compressus): an ecosystem engineer in the Western Highland Rim, USA
Figure 3. (A–D) Slender crayfish Faxonius compressus inhabiting burrows.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.