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1,141 results for “primary_productivity”
Time series measurements of 14C-based primary production (>0.2 um) in the subtropical North Pacific Ocean
<p>Over a 3-year period (April 2010-April 2013), we measured primary production from vertical profiles at near-monthly time scales in the subtropical North Pacific Ocean. Production measurements were based on <sup>14</sup>C-assimilation into >0.2 um plankton biomass. Seawater for the productivity measurements was collected from predawn CTD hydrocasts into acid-cleaned 500-ml polycarbonate bottles. A total of four replicate 500 ml bottles were subsampled per depth and each bottle was spiked with ~1.85 MBq <sup>14</sup>C-bicarbonate. One hundred milliliters from one replicate per depth was immediately vacuum filtered through a polycarbonate filter as a time zero blank. These filters were placed in 20 ml glass scintillation vials and stored at -20oC until shore-based laboratory processing. The remaining three bottles were hung on a free-drifting array, deployed before dawn, and incubated at their initial collection depths throughout the photoperiod (typically 11-13 hours). After sunset the array was recovered, and 100 ml subsamples of all bottles were filtered under gentle vacuum onto 0.2 um polycarbonate filters that were then placed in scintillation vials and frozen. The total radioactivity added to each sample bottle was determined by subsampling 250 µl aliquots into scintillation vials containing 500 µl of β-phenylethylamine. At the shore-based laboratory, filters were acidified, passively vented, and the resulting radioactivity was determined using liquid scintillation counting.</p>
Data from: Climate and local environment structure asynchrony and the stability of primary production in grasslands
<p><b>Aim</b>: Climate variability threatens to destabilize production in many ecosystems. Asynchronous species dynamics may buffer against such variability when decreased performance by some species is offset by increased performance of others. However, high climatic variability can eliminate species through stochastic extinctions or cause similar stress responses among species, reducing buffering. Local conditions, such as soil nutrients, can further alter production stability directly or by influencing asynchrony. We test these hypotheses using a globally distributed sampling experiment.</p> <p><b>Location</b>: Grasslands in North America, Europe and Australia.</p> <p><b>Time period</b>: Annual surveys over five-year intervals occurring between 2007 and 2014.</p> <p><b>Major taxa studied</b>: Herbaceous plants.</p> <p><b>Methods</b>: We annually sampled per-species cover and aboveground community biomass (net primary productivity; NPP), plus soil chemical properties, in twenty-nine grasslands. We tested how soil conditions, combined with precipitation and temperature variability, affect species richness, asynchrony and temporal stability of primary productivity. We used bivariate relationships and structural equation modeling to examine proximate and ultimate relationships.</p> <p><b>Results</b>: Climate variability strongly predicted asynchrony, whereas NPP stability was more related to soil conditions. Species richness was structured by both climate variability and soils, and in turn increased asynchrony. Temperature and precipitation variability caused a unimodal asynchrony response, with asynchrony lowest at low and high climate variability. Climate impacted stability indirectly through its effect on asynchrony, with stability increasing at higher asynchrony due to lower inter-annual NPP variability. Soil conditions had no detectable effect on asynchrony but increased stability by increasing mean NPP, especially when soil organic matter was high.</p> <p><b>Main Conclusions</b>: We found globally consistent evidence that climate modulates species asynchrony, but that the direct effect on stability is low relative to local soil conditions. Nonetheless, our observed unimodal responses to temperature and precipitation variability suggest asynchrony thresholds, beyond which there are detectable destabilizing impacts of climate on primary productivity.</p>
Data from: A global estimate of terrestrial net secondary production of primary consumers
Aim: Net Secondary production (NSP) emerges from the consumption of Net Primary Production (NPP) by any heterotrophic organism. There has been sporadic interest in the importance of NSP, but no global estimates have been produced. We revisit NSP and attempt a global estimate using contemporary NPP data combined with modern metabolic scaling theory for consumption rates. We distinguish between potential NSP as the amount of secondary production that could be supported by NPP, and realized NSP as the amount remaining after anthropogenic habitat disruption. Location: Global Time period: 2000-2014 Methods: We present a model of NSP implementing a Type II functional response for consumption rates wherein search efficiency and handling time are calculated based on consumer mass and ambient temperature. We solve this model for each 0.05-decimal-degree pixel in the global terrestrial biosphere using as data inputs NPP (MOD17A3) and land-surface temperature (MOD11C3). We aggregate estimates within global land cover classifications (MCD12C1) to obtain cover-specific and global estimates of NSP. We also correct our estimates based on declines in consumer abundance reported in Living Planet Report 2014. Results: We estimate potential NSP is 4.74 PgCy-1 globally (95%~CI~=~3.75--5.75). When we correct for global consumer population declines, realized NSP declines to 2.37 PgCy-1 (95%~CI~=~1.86--2.89), a loss of 50% in the rate of carbon flux through secondary consumers. Main Conclusions: Our estimates are sufficient to suggest that the flux of carbon through consumers is of a similar magnitude to many other fluxes critical to the global carbon cycle. We view this as a hypothesis to be tested that suggests NSP deserves significantly more attention in earth systems, macroecology, and biogeochemical research.
Data from: Arboreal ant abundance tracks primary productivity in an Amazonian whitewater river system
Little is known about consumer productivity in the tropics despite the key feedbacks that animals impose on primary productivity. In the Amazon basin, seasonally flooded and unflooded forests exist side by side, and ants (Formicidae) dominate animal biomass. Although flooding has a direct, negative effect on soil-dwelling ants, it is less clear whether flooding has indirect effects on arboreal ants via associated changes in tree communities. To test whether seasonal inundation by whitewater affects arboreal ants, we investigated ant communities in adjacent flooded and unflooded forests along a major whitewater river in central-western Amazonia. Whitewater-flooded forest exhibits higher primary productivity than unflooded forest. We thus hypothesized that forest type would affect the productivity and the foraging traits of arboreal ants, and that these changes would be mediated by increases in plant-derived food for ants in flooded forest. We compared ant and plant communities between flooded and unflooded forest transects along the Juruá River in Amazonas, Brazil. We collected, identified, and counted terrestrial and arboreal ants, and we measured ant traits with putative relationships to foraging strategy. We also identified plant stems to characterize the abundance of ant food rewards. Flooding negatively affected the diversity and abundance of terrestrial ants but did not change the diversity of arboreal ants. Arboreal ants were more abundant and exhibited higher biomass in flooded forest than in unflooded forest. Arboreal ant traits also suggested that ants may rely more heavily on plant-derived food in flooded forest than in unflooded forest. These differences were associated with a higher abundance of plant stems predicted to contain ant food rewards in flooded forest than in unflooded forest. Our results indicate that the productivity of arboreal ants is affected by that of the underlying forest. Such effects may be mediated by the predominantly herbivorous foraging strategy of canopy ants, which would link ant populations closely to primary production and stoichiometry. Given ants' important functional roles, these differences in ant productivity between forest types may have consequences for other arthropods and feedbacks to plants throughout the Amazon basin.
Potential impact of photoinhibition on microphytobenthic primary production on a large intertidal mudflat
<p>SImulations data from the NoPhoto and Photo runs.</p>
Data from: Impacts of mixed-grazing on root biomass and belowground net primary production in a temperate desert steppe
The impacts of large herbivores on plant communities differ depending on the plants and the herbivores. Few studies have explored how herbivores influence root biomass. Root growth of vegetation was studied in the field with four treatments: sheep grazing alone (SG), cattle grazing alone (CG), mixed grazing with cattle and sheep (MG) and no grazing (CK). Live and total root biomasses were measured using the root ingrowth core and the drilling core, respectively. After 2 years of grazing, total root biomass showed a decreasing trend while live root biomass increased with time during the growing seasons. Belowground net primary production (BNPP) among the treatments varied from 166±32 to 501±88 g.m-2 and root turnover rates (RTR) varied from 0.25±0.05 to 0.70±0.11 year-1. SG had the greatest BNPP and RTR, while the CG had the smallest BNPP and RTR. BNPP and RTR of the MG treatment were between those of the CG and SG treatments. BNPP and RTR of the CK were similar to MG treatment. Compared with other treatments, CG had a greater impact on dominant tall grasses species in communities. SG could decrease community diversity. MG eliminated the disadvantages of single-species grazing and was beneficial to community diversity and stability.
Data from: Nitrogen transformations differentially affect nutrient-limited primary production in lakes of varying trophic state
The concept of lakes "evolving" phosphorus (P) limitation has persisted in limnology despite limited direct evidence. Here, we developed a simple model to broadly characterize nitrogen (N) surpluses and deficits relative to P in lakes, and compared the magnitude of this imbalance to estimates of N gains and losses through biological N transformations. The model suggested that approximately half of oligotrophic lakes in the US had a stoichiometric N deficit, but almost 90% of the most productive lakes had a similar N deficit. Although reactive N appeared to accumulate in the most oligotrophic lakes, net denitrification perpetuated the N deficit in more productive lakes. Productive lakes tended to export reactive N via biological N transformations regardless of their N deficit. The lack of N accumulation through N fixation has important implications for our understanding of lake biogeochemistry, ecology, and eutrophication management.
Data from: Functional traits of marine macrophytes predict primary production
The relationship between community structure and the functioning of ecosystems is the subject of ongoing debate. Biological or functional trait-based approaches that capture life strategy, morphology and behavioural characteristics have received far less attention than taxonomic diversity in this context, despite their more intuitive link to ecosystem functioning. Macrophyte primary production underpins aquatic food webs, regulates benthic and pelagic ecosystems and is a key aspect of the global carbon cycle. This study spans a range of aquatic biomes across Europe and aims to examine potential for predicting primary production of macrophyte communities based on the functional traits of species and identify the traits that are the most informative indicators of macrophyte production. Macrophyte primary production was assessed based on the oxygen production of the whole community, linked to biomasses of selected biological traits derived of its component species and analysed using the novel boosted regression trees modelling technique. Results showed that functional traits derived from macrophyte community data explained most of the variation in primary production of macrophyte communities without the need to incorporate environmental data on the habitats. Macrophyte primary production was influenced by a combination of tolerance, morphology and life habit traits; however tolerance traits contributed most of variability in macrophyte primary production when all traits were analysed jointly. This study also showed the existence of trait clustering as the studied trait categories were not fully independent; strong interlinkages between and within trait categories emerged. Our study suggests that functional trait analysis captures different aspects of ecosystem functioning and thereby enables assessing primary production of macrophyte communities over geographically distinct areas without extensive taxonomic and environmental data. This could result in a novel framework through which a simplification of the general procedure of production estimations and comparisons across environmental gradients can be achieved.
Data from: Effects of sea ice cover on satellite-detected primary production in the Arctic Ocean
The influence of decreasing Arctic sea ice on net primary production (NPP) in the Arctic Ocean has been considered in multiple publications but is not well constrained owing to the potentially large errors in satellite algorithms. In particular, the Arctic Ocean is rich in coloured dissolved organic matter (CDOM) that interferes in the detection of chlorophyll a concentration of the standard algorithm, which is the primary input to NPP models. We used the quasi-analytic algorithm (Lee et al. 2002 Appl. Opti. 41, 5755−5772. (doi:10.1364/AO.41.005755)) that separates absorption by phytoplankton from absorption by CDOM and detrital matter. We merged satellite data from multiple satellite sensors and created a 19 year time series (1997–2015) of NPP. During this period, both the estimated annual total and the summer monthly maximum pan-Arctic NPP increased by about 47%. Positive monthly anomalies in NPP are highly correlated with positive anomalies in open water area during the summer months. Following the earlier ice retreat, the start of the high-productivity season has become earlier, e.g. at a mean rate of −3.0 d yr−1 in the northern Barents Sea, and the length of the high-productivity period has increased from 15 days in 1998 to 62 days in 2015. While in some areas, the termination of the productive season has been extended, owing to delayed ice formation, the termination has also become earlier in other areas, likely owing to limited nutrients.
Data from: Remotely-sensed primary productivity shows that domestic and native herbivores combined are overgrazing Patagonia
1. Carrying capacity is the maximum density of animals an area can sustain without a deterioration of its resources. Overgrazing degraded Patagonia grasslands in the past, but sheep stocks decreased in the last three decades and gave way to a mixed system with cattle, goats and guanacos (native wild camelids). 2. The objective of this paper was to develop a method to estimate carrying capacity based on remotely sensed data, and to assess wild and domestic herbivore numbers to establish if combined grazing stocks have evolved to a balance with carrying capacity. 3. Net Primary Productivity (NPP) MOD17/A3 images and Aerial Net Primary Productivity (ANPP) data of 66 sites were linearly regressed (R2= 0.83, P<0.01), and the slope 0.236 was used to convert MOD17/A3 NPP to ANPP. The proportion of ANPP that can be sustainably consumed (Harvest index) was HI=-5.71+0.72 ANPP0.5. Consumable forage was CF =ANPP.HI and carrying capacity CC =CF.EAC-1, where EAC is an estimate of annual consumption: 500, 3200 and 750 kg DM.head-1.year-1 for sheep or goats, cattle and guanacos, respectively. 4. Regional ANPP±SD (2000-2015) was 758±52 kg DM ha-1.yr-1; HI= 13.7±0.6% and CF= 104±12 kg DM ha-1yr-1 resulting in regional carrying capacity of 14.8±1.6 M sheep or goats, 2.3±0.3 M cattle or 9.9±1.2 M guanacos. 5. Domestic stock was high from 1920 to 1980, but declined thereafter and remained mostly within ±1SD of carrying capacity in this century. Annual mean provincial stocks and carrying capacity (2000-2015) correlated well (R²= 0.94, p<0.01) with a slope close to 1. 6. Guanacos increased from 0.5 M to 2 M between 2000 and 2015, driving linearly combined grazing pressures 36 and 62% above carrying capacity in southern Patagonia provinces in 2015. 7. Synthesis and applications: Herbivore de-stocking is necessary to restore grazing balance in south Patagonia. Guanacos are capable of grazing low-quality food and maintain production during dry periods, and their meat and fibre may be incorporated and combined with sheep production. Management of population of guanacos in mixed grazing systems with adjusted stocks may prevent further rangeland degradation, farm abandonment, and loss of ecosystem services of these rangelands.05-Apr-2019
Data from: Lean-season primary productivity and heat dissipation as key drivers of geographic body-size variation in a widespread marsupial
Geographic body-size variation characterises many mammal species. Hypotheses centring around heat conservation, heat dissipation, primary productivity and seasonality have been advanced to explain geographic body-size patterns. However, identification of the primary body-size drivers has often been hampered by a paucity of data for broadly distributed species and the application of regression models that have not explicitly accounted for the spatial clustering inherent in such datasets. We used Australia's most widespread marsupial, the common brushtail possum Trichosurus vulpecula, as a model species with which to test five proposed drivers of geographic body-size variation. Using geo-referenced skull measurements from 588 specimens and a suite of putative environmental covariates, we employed spatial simultaneous autoregressive models, together with information criteria, to evaluate these different hypotheses. Our analysis identified a strong, positive relationship between possum body size and primary productivity during the least productive season, whereas the relationship with mean annual productivity received less support. Consistent with the heat-dissipation hypothesis, T. vulpecula body size also decreased with increasing mean summer maximum temperature. Spatial autoregression coefficients estimated from the simultaneous autoregressive models were always high, suggesting that additional abiotic or biotic factors might contribute to the spatial patterns observed. We argue that the analysis of geographic body-size variation should consider multi-causal possibilities rather than treating the numerous hypotheses as competing, mutually exclusive alternatives.
Data from: Quantifying the importance of functional traits for primary production in aquatic plant communities
1. Aquatic plant meadows are important coastal habitats that sustain many ecosystem functions such as primary production and carbon sequestration. Currently, there is a knowledge gap in understanding which plant functional traits e.g. leaf size or plant height underlie primary production in aquatic plant communities. 2. To study how plant traits are related to primary production, we conducted a field survey in the Baltic Sea, Finland, which is characterized by high plant species and functional diversity. 30 sites along an exposure gradient were sampled (150 plots) and nine plant morphological and chemical traits measured. The aim was to discern how community-weighted mean traits affect community production and whether this relationship changes along an environmental gradient using structural equation modelling (SEM). 3. Plant height had a direct positive effect on production along the exposure gradient (r = 0.33) and indirect effects through two leaf chemical traits, Leaf δ15N and Leaf δ13C (r = 0.24 and 0.18 respectively) resulting in a total effect of 0.28. In plant communities experiencing varying exposure, traits such as root N concentration and leaf δ15N had positive and negative effects on production, respectively. 4. Synthesis: Our results demonstrate that the relationship between plant functional traits and community production is variable and changes over environmental gradients. Plant height generally has a positive effect on community production along an exposure gradient, while the link between other traits and production changes in plant communities experiencing varying degrees of exposure. Thus, the underlying biological mechanisms influencing production differ in plant communities, emphasizing the need to resolve variability and its drivers in real-world communities. Importantly, functionally diverse plant communities sustain ecosystem functioning differently and highlight the importance of benthic diversity for coastal ecosystem stability.
Seasonal Gross Primary Productivity (GPP) Imagery 2005-2020
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Net primary production annual maxima in the North Atlantic projected to shift in the 21st century - Data
<p>Datasets used for the analysis made in the manuscript: Net primary production annual maxima in the North Atlantic projected to shift in the 21st century. Submitted to Biogeosciences. </p>
Global forest net primary production dataset
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PML_V2 global evapotranspiration and gross primary production (2000.02-2023.12)
<h2>Summary</h2> <p>This data is an <strong>8-day 5km (0.05°)</strong> data aggregated from the latest <strong>8day 500m PML-V2 global evapotranspiration and gross primary production data</strong> in Google Earth Engine, available since 2000.2.26 to 2023 (latest and will update annually).</p> <p><strong>Notes</strong></p> <ul> <li> <p>8-day means an average of the variable for the 8 days (xx d-1).</p> </li> <li> <p>Land evapotranspiration (ET) can be computed as a sum of Ec, Ei, and Es, while in water, Penman evapotranspiration denotes actual evaporation (ET_water).</p> </li> <li> <p>In a 5km resolution, please do not add ET_water to land ET as they represent a different coverage of area within the 5km pixel. Please see the coverage ratio file for each variable.</p> </li> </ul> <table> <tbody> <tr> <th>BandName</th> <th>Units</th> <th>Scale</th> <th>Description</th> </tr> </tbody> <tbody> <tr> <td>GPP</td> <td>gC m-2 d-1</td> <td>0.01</td> <td>Gross primary product</td> </tr> <tr> <td>Ec</td> <td>mm d-1</td> <td>0.01</td> <td>Vegetation transpiration</td> </tr> <tr> <td>Es</td> <td>mm d-1</td> <td>0.01</td> <td>Soil evaporation</td> </tr> <tr> <td>Ei</td> <td>mm d-1</td> <td>0.01</td> <td>Interception from vegetation canopy</td> </tr> <tr> <td>ET_water</td> <td>mm d-1</td> <td>0.01</td> <td>Water body, snow and ice evaporation. Penman <br>evapotranspiration is regarded as actual evaporation for them.</td> </tr> </tbody> </table> <h2>Changes</h2> <p>Here, this PML-V2 dataset denotes <strong>the latest update</strong> that follows the original implementation of Zhang et al., 2019, <strong>except with </strong>Terra LAI for longer temporal coverage and annual updates.</p> <ul> <li> <p>Temporal coverage lengthened to 2000.2-2023.12</p> </li> <li> <p>Using MODIS Terra LAI (MOD15A2H) with original wWhd smoother processing as in Kong et al., 2019</p> </li> <li> <p>Recalibrated with the new MODIS Terra LAI</p> </li> <li> <p>Other climatic forcing and MODIS input remain the same</p> </li> </ul> <h2>Google Earth Engine</h2> <p>Original 500m 8-day data in GEE</p> <p>https://developers.google.com/earth-engine/datasets/catalog/CAS_IGSNRR_PML_V2_v018</p> <h2>Methods</h2> <p>Penman-Monteith-Leuning Evapotranspiration V2 (PML_V2) products include evapotranspiration (ET), its three components, and gross primary product (GPP) at 500m and 8-day resolution during 2000-2017 and with spatial range from -60°S to 90°N. The major advantages of the PML_V2 products are:</p> <ol> <li> <p>coupled estimates of transpiration and GPP via canopy conductance (Gan et al., 2018; Zhang et al., 2019)</p> </li> <li> <p>partitioning ET into three components: transpiration from vegetation, direct evaporation from the soil and vaporization of intercepted rainfall from vegetation (Zhang et al., 2016).</p> </li> </ol> <p>The PML_V2 products perform well against observations at 95 flux sites across globe, and are similar to or noticeably better than major state-of-the-art ET and GPP products widely used by water and ecology science communities (Zhang et al., 2019).</p> <h2>References</h2> <ul> <li> <p>Zhang, Y., Kong, D., Gan, R., Chiew, F.H.S., McVicar, T.R., Zhang, Q., and Yang, Y., 2019. Coupled estimation of 500m and 8-day resolution global evapotranspiration and gross primary production in 2002-2017. Remote Sens. Environ. 222, 165-182, <a href="https://doi.org/10.1016/j.rse.2018.12.031">doi:10.1016/j.rse.2018.12.031</a></p> </li> <li> <p>Gan, R., Zhang, Y.Q., Shi, H., Yang, Y.T., Eamus, D., Cheng, L., Chiew, F.H.S., Yu, Q., 2018. Use of satellite leaf area index estimating evapotranspiration and gross assimilation for Australian ecosystems. Ecohydrology, <a href="https://doi.org/10.1002/eco.1974">doi:10.1002/eco.1974</a></p> </li> <li> <p>Zhang, Y., Peña-Arancibia, J.L., McVicar, T.R., Chiew, F.H.S., Vaze, J., Liu, C., Lu, X., Zheng, H., Wang, Y., Liu, Y.Y., Miralles, D.G., Pan, M., 2016. Multi-decadal trends in global terrestrial evapotranspiration and its components. Sci. Rep. 6, 19124. <a href="https://doi.org/10.1038/srep19124">doi:10.1038/srep19124</a></p> </li> </ul>
Primary production and environmental variables from 1971 to 2021 in the North Basin of Lake Biwa
<p><strong>Abstract: </strong>Global climate change and anthropogenic oligotrophication are expected to reshape the dynamics of primary production (PP) in aquatic ecosystems however, few studies have explored their long-term effects. In theory, the PP of phytoplankton in Lake Biwa may decline over decades due to warming, heightened stratification, and anthropogenic oligotrophication. Furthermore, the PP of large phytoplankton, which are inedible to zooplankton, along with biomass-specific productivity (PBc), could decrease. In this study, data from 1976–2021 and active fluorometry measurements taken in 2020 and 2021 were evaluated. Quantitatively, the temporal dynamics of mean seasonal PP during 1971–2021 were assessed according to the carbon fixation rate to investigate relationships among environmental factors. Qualitatively, phytoplankton biomass, PP, and PBc were measured in two size fractions [edible (S) or inedible (L) for zooplankton] in 2020 and 2021, and the L:S balance for these three measures was compared between 1992 (low-temperature/high-nutrient conditions) and 2020–2021 (high-temperature/low-nutrient conditions) to assess seasonal dynamics. The results indicated that climate change and anthropogenic oligotrophication over the past 50 years have diminished Lake Biwa's PP since the 1990s, impacting the phenology of PP dynamics. However, the L:S balance in PP and PBc has exhibited minimal change since 1992. These findings suggest that, although climate change and oligotrophication may reduce overall PP, they do not markedly alter the inedible/edible phytoplankton balance in terms of PP and PBc. Instead, as total PP declines, the production of small edible phytoplankton decreases proportionally, potentially affecting trophic transfer efficiency and material cycling in Lake Biwa.</p>
Data for: Phytoplankton primary productivity: a dual-incubation approach for direct comparison of photosystem II photosynthetic flux (JVPII) and 14C-fixation experiments
<p>Data summary and LabSTAF raw data from manuscript "Phytoplankton primary productivity: a dual-incubation approach for direct comparison of photosystem II photosynthetic flux (JVPII) and 14C-fixation experiments" by <span>Nina Schuback, Kevin Oxborough, Mary Burkitt-Gray, </span><span>Patricia López-García, Matthew D. Patey, </span><span>Emily Hammermeister, Alan Wright, C. Mark Moore</span></p>
Gross Primary Productivity is More Sensitive to Accelerated Flash Droughts
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Impact of water resources development on connectivity and primary productivity across a tropical river floodplain
<p>1. Floodplain wetlands provide an important subsidy for riverine food webs as sites of high algal production. However, this subsidy depends on the degree of landscape connectivity during flood pulses, which provides the opportunity for movement of higher order consumers between rivers and floodplains to access these productive habitats. Changes in floodplain inundation extent and duration, due to variable wet season flows or water resources development (WRD), can impact landscape connectivity and ultimately the magnitude of the food web subsidy.</p> <p>2. We explored landscape connectivity using graph theory and derived four new metrics to measure how different flow scenarios can affect connectivity and algal production. We considered a historic scenario with the present level of water resource development in our study area, the Mitchell River, and a WRD scenario with the inclusion of three new dams in the catchment. We generated 240 unique daily spatial graphs, using surface water inundation maps across 40-day flood events to compare a dry year (2006), an average flow year (2001), and a wet year (2009) with and without a WRD scenario.</p> <p>3. Drier years and WRD scenario resulted in floodplain fragmentation, potentially constraining the movement of higher order consumers. Changes in connectivity due to WRD resulted in predicted reductions of up to 26% of algal production on the floodplain that was otherwise connected to the main river channels.</p> <p>4. Synthesis and applications. The approach developed in this study provides new metrics to identify how changes in floodplain surface water extent due to water resource development and climatic variation may impact ecosystem function such as connectivity that facilitates access of higher order consumers to primary production in floodplain wetlands. With a direct link to river flow alteration, these metrics can inform catchment planning and management to ensure that the conservation of floodplain ecosystem functions is adequately considered in water resource management decisions.</p>
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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)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
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.