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Fig. 6 in Seasonal response of benthic foraminifera to anthropogenic pressure in two stations of the Gulf of Trieste (northern Adriatic Sea, Italy): the marine protected area of Miramare versus the Servola water sewage outfall

Fig. 6: Rank-frequency diagram for the Ser(a) and Res(b) stations using the cumulative abundance (as relative frequency) for y-axe and the decreasing rank order for x-axe of each species for each sample. Both axes are on logarithmic scale.

Fig. 4 in Seasonal response of benthic foraminifera to anthropogenic pressure in two stations of the Gulf of Trieste (northern Adriatic Sea, Italy): the marine protected area of Miramare versus the Servola water sewage outfall

Fig. 4: Foraminiferal data for Ser and Res stations using the complete living assemblage of the 0-2 cm level: a) Foraminiferal density (FD) as the number of specimens normalised to 50 cc of sediments and species richness; b) Dominance index; c) bias corrected Shannon (H' bc) and the exponential function Exp(H' ) indexes.

Fig. 3 in Seasonal response of benthic foraminifera to anthropogenic pressure in two stations of the Gulf of Trieste (northern Adriatic Sea, Italy): the marine protected area of Miramare versus the Servola water sewage outfall

Fig. 3: Potentially toxic elements (PTE) concentration in the Ser (a) and Res (b) stations calculated for the 0-1 cm level. PTEs are expressed in micrograms per gram (µg/g).

Fig. 1 in Seasonal response of benthic foraminifera to anthropogenic pressure in two stations of the Gulf of Trieste (northern Adriatic Sea, Italy): the marine protected area of Miramare versus the Servola water sewage outfall

Fig. 1: Study area and location of the Ser (Servola) and Res (Riserva Naturale Marina di Miramare) stations. The Servola pipeline is evidenced in the enlarged square.

Fig. 2 in Seasonal response of benthic foraminifera to anthropogenic pressure in two stations of the Gulf of Trieste (northern Adriatic Sea, Italy): the marine protected area of Miramare versus the Servola water sewage outfall

Fig. 2: Vertical profiles of temperature, salinity, pH, oxygen saturation and chlorophyll a at Ser and Res stations during the seasonal sampling.

opencc-by-4.0Nov 2020View details →

Figure 3 in Phytoplankton adaptation strategies under the influence of climatic changes and anthropogenic pressure on the Black Sea coastal ecosystems on the example Sevastopol Bay

Figure 3. Multiannual dynamics: a, d – concentrations of chlorophyll a (1), phytoplankton biomass (2) and water temperature (3), b, e – concentrations of nitrates (1), silicon (2), phosphates (3) and ammonium (4), c, f- diatoms contribution (1), dinoflagellates (2) and coccolithophorides (3) in the total phytoplankton biomass in Sevastopol Bay in summer and autumn.

opencc-by-4.0Nov 2020View details →

Figure 2 in Phytoplankton adaptation strategies under the influence of climatic changes and anthropogenic pressure on the Black Sea coastal ecosystems on the example Sevastopol Bay

Figure 2. Multiannual dynamics: a, d – concentrations of chlorophyll a (1), phytoplankton biomass (2) and water temperature (3), b, e – concentrations of nitrates (1), silicon (2), phosphates (3) and ammonium (4), c, f- diatoms contribution (1), dinoflagellates (2) and coccolithophorides (3) in the total phytoplankton biomass in Sevastopol Bay in winter and spring

opencc-by-4.0Dec 2022View details →

Additive and interactive pressures of anthropogenic stressors on an insect herbivore

This file contains the data and scripts needed to reproduce the results presented in "Additive and interactive pressures of anthropogenic stressors on an insect herbivore."

opencc-by-4.0Jul 2020View details →

Changes to anthropogenic pressures on reach-scale rivers in South and Southeast Asia from 1990 to 2014

The data documented the spatiotemporal anthropogenic pressures on reach-scale rivers across South and Southeast Asia from 1990-2014. The data used to produce the results reported in the manuscript "Changes to anthropogenic pressures on reach-scale rivers in South and Southeast Asia from 1990 to 2014". The attributes of the data are explained as follows: (1) "lengthkm": the length (km) of the river reach. (2) "order": stream order of the river reach, from Lin et al. (2019). (3) "nnCCI92": the anthropogenic pressures induced by irrigation in 1992. (4) "nnCCI00": the anthropogenic pressures induced by irrigation in 2000. (5) "nnCCI14": the anthropogenic pressures induced by irrigation in 2014. (6) "nnGHSL90": the anthropogenic pressures induced by human usage in 1990. (7) "nnGHSL00": the anthropogenic pressures induced by human usage in 2000. (8) "nnGHSL14": the anthropogenic pressures induced by human usage in 2014. (9) "sum90": the total anthropogenic pressures on river reaches in 1990. (10) "sum00": the total anthropogenic pressures on river reaches in 2000. (11) "sum14": the total anthropogenic pressures on river reaches in 2014. (12) "mean9014": the average anthropogenic pressures on river reaches from 1990-2014. (13)"domin14": dominant pressure indicator impacting river reaches in 2014. "1" for healthy rivers, "2" for "both human usage and irrigation", "3" for "irrigation", "4" for "human usage". Version 2 updates the anthropogenic pressures on rivers considering the proportion of irrigation taken from groundwater.

opencc-by-4.0Aug 2023View details →

Compilation of 17 anthropogenic pressure gradients and 18 benthic indicators in the Baltic Sea, Atlantic Ocean and Mediterranean Sea

Compilation of 17 benthic datasets that sampled benthic ecosystems over gradients of commercial bottom trawling intensity (n=14), eutrophication (n=1), oxygen depletion (n=1) and pollution (n=1) (Table 1). Compilation of 18 benthic indicators that were calculated for each gradient dataset. The indicators estimated were community biomass, abundance, richness, relative Margalef diversity, Shannon index, Simpson index, Inverse Simpson,  AZTI’s Marine Biotic Index (AMBI), Multivariate AMBI (M-AMBI), BENTIX Biotic Index (BENTIX), Danish Quality Index (DKI), Trawling Disturbance Index (TDI), Modified TDI (mTDI), Modified vulnerability index (mT), Median longevity (Lm), Partial TDI (pTDI), Sentinels of Seabed (SoS), Long-lived fraction (Lf). The dataset has information on: 1) indicator outputs per sampling station; 2) combined data tables with gradient, station, and species information; 3) individual gradient information with replicate samples and the environmental variables reported in the original study. #---------------- NOTE: The dataset was updated in February 2025 due to incorrect description of units used for two gradients (Silver Pit and Thames) in the "Individual Gradient Studies" folder. #--------------- Table 1. Overview of anthropogenic gradient datasets <table> <tbody> <tr> <th>Location</th> <th>Sampling method</th> <th>Pressure gradient</th> </tr> </tbody> <tbody> <tr> <td>Adriatic Sea – Italian EEZ (sand)</td> <td>Rapido trawl</td> <td>Bottom trawling</td> </tr> <tr> <td>Adriatic Sea – Italian EEZ (mud)</td> <td>Rapido trawl</td> <td>Bottom trawling</td> </tr> <tr> <td>North Sea - Dutch EEZ</td> <td>Box core</td> <td>Bottom trawling</td> </tr> <tr> <td>North Sea - Dogger Bank</td> <td>Hamon grab</td> <td>Bottom trawling</td> </tr> <tr> <td>North Sea - Fladen Ground</td> <td>Day grab</td> <td>Bottom trawling</td> </tr> <tr> <td>North Sea - Long Forties</td> <td>Hamon grab</td> <td>Bottom trawling</td> </tr> <tr> <td>North Sea - Silver Pit</td> <td>Box core</td> <td>Bottom trawling</td> </tr> <tr> <td>North Sea – Thames</td> <td>Box core</td> <td>Bottom trawling</td> </tr> <tr> <td>Northern Iberian Coast (sand)</td> <td>Otter trawl</td> <td>Bottom trawling</td> </tr> <tr> <td>Northern Iberian Coast (mud)</td> <td>Otter trawl</td> <td>Bottom trawling</td> </tr> <tr> <td>Baltic Sea - Gotland</td> <td>van Veen grab</td> <td>Bottom trawling</td> </tr> <tr> <td>Baltic Sea – Polish EEZ</td> <td>Box core</td> <td>Bottom trawling</td> </tr> <tr> <td>NW Atlantic - Flemish Cap</td> <td>Otter trawl</td> <td>Bottom trawling</td> </tr> <tr> <td>Irish Sea - Sellafield</td> <td>Day grab</td> <td>Bottom trawling</td> </tr> <tr> <td>Gulf of Finland</td> <td>van Veen grab</td> <td>Oxygen depletion</td> </tr> <tr> <td>Saronikos Gulf</td> <td>Box core</td> <td>Eutrophication</td> </tr> <tr> <td>Vigo Estuary</td> <td>Box core</td> <td>Contaminants</td> </tr> </tbody> </table>

opencc-by-4.0Dec 2018View details →

Anthropogenic pressures drive population genetic structuring across a Critically Endangered lemur species range

Includes initial input landscape surfaces (.acs) and final resistance surfaces (.out) generated during the current study.

opencc-by-4.0Aug 2024View details →

Anthropogenic pressure index on biomes (APIB): Nexus scenarios for Brazil 2040

These new scenarios were created within the scope of the Thematic Project “Nexus – Transition to sustainability and the water-agriculture-energy nexus: exploring an integrative approach with case studies in the Cerrado and Caatinga biomes” (FAPESP - 2022/05856-0 and 2017/22269-2). For more information, visit: https://nexus.ccst.inpe.br/publicacao/ and https://zenodo.org/records/10197094.   Data Anthropogenic Pressure Index on Biomes (APIB) value.   Spatial resolution The data is available at a spatial resolution of 100 km² and covers the entire Brazilian territory.   Temporal resolution  Period of observed data: 2020 Scenario Period: 2025, 2030, 2035 and 2040   Coordinate reference system  Geographic Coordinate System with Datum SIRGAS 2000 (EPSG:5880)   Data format Data is provided as Shapefile.   Dataset usage  It is free to use, but please make sure to cite the repository and our paper properly if you use this dataset. F. G. S. Bezerra, et al., Spatio-temporal analysis of dynamics and future scenarios of anthropic pressure on biomes in Brazil. Ecol Indic 137 (2022). https://doi.org/10.1016/j.ecolind.2022.108749   Publication & further information For additional scenario information, please contact Francisco Gilney Silva Bezerra (franciscogilney@gmail.com).   Acknowledgments The authors would like to thank the São Paulo Research Foundation (FAPESP, project number 2022/05856-0, 2017/22269-2 and Nexus Project) for their support in the development of this study.

opencc-by-4.0Aug 2023View details →

Supplementary Data for "Co-occurrence of climate-change induced and anthropogenic pressures in Central American key biodiversity areas"

Supplementary Data for the article "Co-occurrence of climate-change induced and anthropogenic pressures in Central American key biodiversity areas" This includes the pressure score maps for all climate scenarios / SSPs for the historical and future time periods as well as the script used for preparing the anthropogenic pressure maps (human footprint mapping).

zenodo32/100

Supplementary material 1 from: Oumarou Ngoute C, Kekeunou S, Lecoq M, Nzoko Fiemapong AR, Um Nyobe PCA, Bilong Bilong CF (2020) Effect of anthropogenic pressure on grasshopper (Orthoptera: Acridomorpha) species diversity in three forests in southern Cameroon. Journal of Orthoptera Research 29(1): 25-34. https://doi.org/10.3897/jor.29.33373

: Explanation note: Effect of anthropogenic pressures on floristic composition from the forests of three localities of southern Cameroon.

opencc-zeroFeb 2020View details →

opencc-zeroMar 2020View details →

Environmental DNA can act as a biodiversity barometer of anthropogenic pressures in coastal ecosystems

Loss of biodiversity from lower to upper trophic levels reduces overall productivity and stability of coastal ecosystems in our oceans, but rarely are these changes documented across both time and space. The characterisation of environmental DNA (eDNA) from sediment and seawater using metabarcoding offers a powerful molecular lens to observe marine biota and provides a series of 'snapshots' across a broad spectrum of eukaryotic organisms. Using these next-generation tools and downstream analytical innovations including machine learning sequence assignment algorithms and co-occurrence network analyses, we examined how anthropogenic pressures may have impacted marine biodiversity on subtropical coral reefs in Okinawa, Japan. Based on 18S ribosomal RNA, but not ITS2 sequence data due to inconsistent amplification across samples, as well as proxies for anthropogenic disturbance, we show that eukaryotic richness at the family level significantly increases with medium and high levels of disturbance. This change in richness coincides with compositional changes, a decrease in connectedness among taxa, an increase in fragmentation of taxon co-occurrence networks, and a shift in indicator taxa. Taken together, these findings demonstrate the ability of eDNA to act as a barometer of disturbance and provide an exemplar of how ecological functions, biotic networks, and coral reef resilience may be impacted by anthropogenic activities.

opencc-zeroDec 2020View details →

Steep topography buffers threatened gymnosperm species against anthropogenic pressures in China

China is one of the most species-rich countries in the world, harbouring many rare gymnosperms. Following recent human-led loss of forests, China is now experiencing increases in forest cover resulting from efforts of reforestation-schemes. As anthropogenic activities have previously been found to interact with topography in shaping forest cover in China and considering the large human population and the ongoing population increase of the country, it is important to understand the role of anthropogenic pressures relative to environmental drivers for shaping species distributions here. Based on the well-established relationship between human population density and topography, we propose a hypothesis for explaining species distributions in a country dominated by human activities, predicting that species are more likely to occur in areas of steep topography under medium human population densities compared to low- and high human population densities. Using species occurrence data from the Chinese Vascular Plant Distribution Database along with a common SDM method (Maximum Entropy Modelling) we tested this hypothesis. Our results show that steep topography has the highest importance for predicting Chinese gymnosperm species occurrences in general, and threatened species specifically, in areas of medium human population densities. Consequently, these species are more often found in areas of steep terrain, supporting the proposed hypothesis. Results from this study highlight the need to include topographically heterogeneous habitats when planning new protected areas for species conservation.

opencc-zeroDec 2011View details →

Data from: Anthropogenic harvesting pressure and changes in life history: insights from a rocky intertidal limpet

The importance of large breeding individuals for maintaining the health of marine fish and invertebrate populations has long been recognized. Unfortunately, decades of human harvesting that preferentially remove larger individuals have led to drastic reductions in body sizes of many of these species. Such size-selective harvesting is particularly worrisome for sequentially hermaphroditic species where the larger size classes are composed primarily of one sex. Whether these species can maintain stable sex ratios under sustained harvesting pressure depends on the level of plasticity of their life history traits. Here, we show that populations of a marine limpet (Lottia gigantea) can adjust a fundamental aspect of their life history (the timing of sex change) when subjected to size-selective harvesting. As predicted by theoretical models, individuals from harvested populations change sex at smaller sizes and grow at slower rates compared to individuals from protected populations. In addition, the relative size at which the change from male to female occurs remains constant (~0.75; size at sex change / maximum size) across populations, regardless of harvesting pressure. Our results show that population-level demographic and life history data, in conjunction with existing theory, can be sufficient to predict the responses of sequential hermaphrodites to harvesting pressure. Furthermore, they suggest such species can potentially adapt to size-selective harvesting.

opencc-zeroDec 2016View details →

Data from: Benthic communities under anthropogenic pressure show resilience across the Quaternary

The Southeast Pacific is characterized by rich upwelling systems that have sustained and been impacted by human groups for at least 12 ka. Recent fishing and aquaculture practices have put a strain on productive coastal ecosystems from Tongoy Bay, in north-central Chile. We use a temporal baseline to determine whether potential changes to community structure and composition over time are due to anthropogenic factors, natural climatic variations or both. We compiled a database (n = 33 194) with mollusc species abundances from the Mid-Pleistocene, Late Pleistocene, Holocene, dead shell assemblages and live-sampled communities. Species richness was not significantly different, neither were diversity and evenness indices nor rank abundance distributions. There is, however, an increase in relative abundance for the cultured scallop Argopecten, while the previously dominant clam Mulinia is locally very rare. Results suggest that impacts from both natural and anthropogenic stressors need to be better understood if benthic resources are to be preserved. These findings provide the first Pleistocene temporal baseline for the south Pacific that shows that this highly productive system has had the ability to recover from past alterations, suggesting that if monitoring and management practices continue to be implemented, moderately exploited communities from today have hopes for recovery.