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Ecosystem Functions and Ecosystem Values

Dennis F. Whigham · 1997

Cited by 6

EU Ecosystem Assessment - Marine Ecosystem

Adolf Stips, Alessandro Mannini, Cecilia Pinto et al. · Publications Office of the European Union · 2020

This dataset contains the relevant products for the following indicators: Acidification, Sea surface temperature, Sea level anomaly, Seawater salinity, Chemicals load to sea, Nutrients load to sea, Riverine litter load to sea, "Fish mortality (F) of commercially exploited fish and shellfish exceeding fishing mortality at maximum sustainable yield (FMSY)", Number of newly introduced non-indigenous species (number/year), Number of newly introduced non-indigenous species from human activities transport, Chemical Status Concentration of phosphate and nitrate, and N:P, Dissolved Oxygen, Chlorophyll-a concentration, Bathing water quality, Contaminants concentration in biota, Contaminants concentration in sediment, Beach litter, Seafloor litter, Spatial distribution, temporal extent, and levels of anthropogenic impulsive sound sources Ecological Status, Spatial extent and distribution of physical loss and disturbance to seabed, Population abundance, Spawning Stock Biomass relative to reference biomass, Biological quality elements (BQEs) collected to assess ecological status, Occurrence of invasive alien species, and Marine Protected Areas.

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EU Ecosystem Assessment - Freshwater Ecosystem

Lorenzo Mentaschi, Alberto Pistocchi, Michela Zanni et al. · Publications Office of the European Union · 2021

List of indicators included in the dataset: 1) River, Lakes and Freshwater ecosystem extent; 2) Domestic waste emissions to the environment; 3) Nitrogen, Phosphorous, and Biochemical Oxygen Demand concentration in rivers below alert thresholds; 4) Frequency of low flow alteration - Q10; 5) Water Exploitation Index (Consumption) – WEIc; 6) Land cover in riparian areas; 7) Morphological Alteration of freshwater habitat. 1) River, Lakes and freshwater ecosystem extent Freshwater ecosystems comprise aquatic habitats of rivers and lakes, but their functionality depends on the exchanges with the land. Riparian areas and floodplains can also be seen as complementary to rivers and lakes as part of freshwater ecosystems, and provides many of their linked ecosystem services. Rivers are elongated landscape forms whose limited width precludes effective detection through satellite images (Pekel et al. 2016). The extent of freshwater ecosystems was derived combining several datasets: 1- Rivers and lakes were defined by the network of the Catchment Characterisation Model (CCM; De Jager & Vogt 2007). 2- In order to restrict the analysis to freshwaters, brackish or salty water bodies as classified by Corine CLC 2012 into classes 37-39 and 42-44), were removed. The extent of rivers is expressed in km of length per administrative unit NUTS2; the extent of lakes is quantified by surface area (km2). 3- The area of aquatic ecosystems (river and lakes, km2) was quantified by buffering CCM river segments with a 5m buffer on each side, i.e. assuming a constant river cross section of 10m everywhere. This is a simplification borne from the lack of data. Rivers and lakes were merged into one freshwater aquatic ecosystem extent layer (FreshwaterExt_RivLakes) 4- Riparian land is the zone where most exchanges between aquatic habitats and surrounding land take place. Riparian land was defined according to Weissteiner et al. (2016). Riparian land was merged with that of Rivers and Lakes (FreshwaterExt_RivLakesRip). 5- Potentially flooded areas receive waters from rivers in the occasion of flood events. The exchanges between rivers and lakes with flooded areas are more episodic in nature than for riparian land, yet this zone is very important to assess some freshwater ecosystem services, like protection from flood hazards. The potential flood prone areas were defined as the area that can be flooded by a 100-year return event (EEA, 2020). The potential flood prone areas were merged with River, Lakes and Riparian areas (FreshwaterExt_RivLakesRipFlood). 6- All datasets were dissolved as polygons for NUTS2 administrative level. Temporal coverage: 2012. 2) Domestic waste emissions to the environment Pollutant emissions from domestic sources impact freshwaters nutrient balance. Domestic waste comprises emissions from point sources, i.e. direct discharges to river network form wastewater treatment plans and sewerage systems, and from diffuse sources, i.e. disconnected dwellings and independent appropriate systems. Population Equivalent (PE) reported in the Urban Waste Water Directive database (v5 with reference year 2014, revised for data gap fillings) were used to assess annual emissions of biochemical oxygen demand (BOD), nitrogen and phosphorous loads (t/y). Removal efficiencies depending on treatment levels were applied before releases to the environment. It should be noted that emissions from disconnected sources would be further attenuated before reaching the river network; however, this attenuation has not been considered for these reported domestic emission indicators. The dataset reports mean annual domestic emissions of total nitrogen (N), total phosphorous (P), and 5-days biochemical oxygen demand (BOD) loads per km2 (t/y/km2) for EU28 at NUTS2 scale. Temporal coverage: 2014-2015 3) Nitrogen, Phosphorus, and Biochemical Oxygen Demand concentration in rivers below alert thresholds High nutrient concentrations in rivers are conducive to eutrophication. Mean annual nutrient concentrations (mg/L) of nitrogen, phosphorous and Biochemical Oxygen Demand (BOD5) were obtained with conceptual pollution source-fate models. Specifically, nitrogen and phosphorous concentrations were modelled with GREEN (Grizzetti et al., 2012) as mean annual values for the 2005-2012 hydrological conditions. BOD5 was modelled as in Vigiak et al. (2019) for 2008-2012 mean hydrological conditions. The indicators are presented as fraction of river length (in km/km, aggregated at NUTS2 level) where concentrations are below the following thresholds: total nitrogen <= 4 mg/L; total phosphorous <= 0.1 mg/L, and BOD5 <= 5 mg/L as per Pistocchi et al. (2019). Temporal coverage: 2010 4) Frequency of low flow alteration - Q10 Heavy water abstractions may reduce streamflow in aquatic freshwater systems to levels that threaten biodiversity survival and ecosystem services delivery, to the point that some countries forbid abstractions when streamflow is below given thresholds. We used as reference the 10th percentile of streamflow that would occur in natural conditions (i.e the level below which streamflow would occur on average 36.5 days a year in the absence of any abstraction and flow regulations), and calculated the frequency with which streamflow is below the reference in current hydrological conditions. The indicator is calculated with Lisflood 2.0 model (Bisselink et al., 2018) for historical records of 2000-2018 for current conditions. Natural conditions are simulated by taking out water abstractions and flow regulations (reservoirs). The indicator Q10 is calculated at pixel size of 5 x 5 km2. A frequency below 0.1 means that the natural low flow occurrence is respected, whereas values above the 0.10 thresholds indicate increasing alteration of low flows. Currently in the EU28 territory 61% of freshwaters are affected by some degree of alteration (i.e. the frequency of streamflow above the Q10 threshold is less than 90% of time). In 5% of EU28 territory low flow alteration is extreme, below the natural 10th percentile for more than 50% of time. Temporal coverage: Average 2000-2018 5) Water Exploitation Index (Consumption) – WEIc Water abstractions pose heavy pressure on aquatic freshwater ecosystems, especially where water availability is limited. The Water Exploitation Index on consumption (WEIc) is the ratio of net water consumption divided by the freshwater resources of a region. Water consumption considers net abstractions, i.e. total abstractions less the amount of water that returns to the system after usage. WEIc above 0.20 indicates water stress, and WEIc above 0.4 indicates severe water stress. The indicator is calculated with the Lisflood 2.0 model (Bisselink et al., 2018). Water abstractions and consumption rates are defined for domestic, industrial, energy and cooling, livestock and irrigation. Freshwater resources taken into account include locally generated runoff, inflowing surface waters, lakes and reservoirs storage and outflow, and groundwater recharge (Bisselink et al. 2018). For the purposes of MAES, WEIc is calculated for sub-river basin districts within an EU Member State as the average for 2000-2018. Currently 8% of EU28 suffers of water stress (WEIc => 0.20). Temporal coverage: Average 2000-2018 6) Land cover in riparian areas Riparian areas exert important regulatory services like water purification and provide habitats to freshwater biota. Encroachment of these areas by anthropogenic activities limit these functionalities (Pistocchi et al., 2015; 2017; 2018). Riparian land was identified according to Weissteiner et al. (2016). Land cover was taken from CORINE CLC status (CLC2000, CLC2006, CLC2012 V18; CLC2018 release V20b2; accessed 15/06/2019). The share of artificial land use is taken from CORINE Land Cover level 1 category 1. The share of agricultural land use is taken from CORINE Land Cover level 1 category 2. The share of natural land is taken from CORINE Land Cover level 1 categories 3 and 4. Land use shares of riparian land are presented at NUTS2 level. Temporal coverage: 2000; 2006; 2012; 2018 7) Morphological Alteration of freshwater habitat Indicators of morphological alteration of freshwater habitats were assessed by the presence of structures that may interrupt the lateral and longitudinal connectivity of rivers. The presence of infrastructures in riparian areas can be considered a proxy for human pressures on the aquatic habitats, disturbing the natural setting and potentially altering lateral connectivity. The presence of dams, locks and other barriers along streams reduces the fluxes of water, materials and species along the stream network, interrupting the longitudinal connectivity of aquatic habitats. Barriers limit sediment supply and alter natural flow regime, and therefore may induce river bed aggradation and alter channel-alluvium exchanges (Pistocchi et al., 2018). Three indicators of morphological alteration are proposed: 1- InfrDensity: the density of infrastructures in riparian land. Linear infrastructures (roads and railways) in riparian areas were mapped on the basis of the OpenStreetMap road and railway segments accessed in 2016. The extent of riparian land was mapped by Weissteiner et al. (2016). Density is expressed in km of linear infrastructure per km2 of riparian land. 2- DamPerc: the fraction of mean annual streamflow intercepted by dams/barriers, giving an indication of longitudinal hydrological disconnectivity; and 3- FreeL_fraction: the fraction of the stream network that is dams-free, i.e. the ratio of the stream length theoretically accessible between barriers divided by the total length of stream network, providing an indication of longitudinal morphological disconnectivity. For each river segment (mapped with CCM tessellation), the total length of stream network to which it belongs (from headwater to sea outlet) is calculated. Then, the sum of lengths of segments

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Ecology, ecosystem and ecosystem science

Göran I. Ågren, Folke O. Andersson · Cambridge University Press eBooks · 2011

Ecology and ecosystems have many faces or directions. We explain the relations between different sub-disciplines. The scientific field dealing with structure, functions and dynamics of ecosystems is ecosystem ecology. The recent development of the field suggests that it should be considered as a discipline in its own right. A definition is given and its relation to other disciplines is discussed.

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Ecosystem Function and Ecosystem Management

Norman L. Christensen, Jerry F. Franklin · 1997

Cited by 7

Ecosystem

Encyclopedia of earth sciences series/Encyclopedia of earth sciences · 2011

Cited by 0

Ecosystem

Unav · Harvard Dataverse · 2013

:unav

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ecosystem

Lindsay Stringer, Andrew Dougill, Andrew Thomas et al. · 2012

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Ecosystem

M. R. Anand, Poojitha Kommireddy, C. Seenappa et al. · Agroecology · 2023

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Ecosystem

Encyclopedia of Social Problems · 2008

Cited by 1

ecosystem

Sally Hladyz, Mark O. Gessner, Paul S. Giller et al. · 2014

Cited by 0

Ecosystem

Filomena Maggino · 2023

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ecosystem

Zhangca I Q In, Q Ianla, I Zhuang et al. · 2014

Bioenergy crop productivity and potential climate change mitigation from marginal lands in the United States: An

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Ecosystem

Satinder Kaur, HCL Rawat · Jaypee Brothers Medical Publishers (P) Ltd. eBooks · 2018

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Ecosystem

2013

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Ecosystem.

Rurong Le (20161220), Sheng Yu (278539), Xianhe Zhang (3954653) · Figshare · 2024

<div><p>Nominal technical terms (NTTs), as crucial builders for disciplinary knowledge, can cause difficulties for students. However, previous studies have rarely associated NTTs with disciplinary knowledge construction. Apart from that, scholars of English for Specific Purposes (ESP) have mainly focused on making wordlists for one specific discipline based on corpora rather than on meanings. Moreover, the current categorization of technical terms cannot reveal their role in constructing disciplinary knowledge. Against this backdrop, we carried out a corpus-based study to classify NTTs in secondary school biology textbooks and to unveil the knowledge constructed by different types of those NTTs. As a result, we found that NTTs in those textbooks could fall into five major categories: Thing, Activity, Semiotic, Place, and Time. We also found intra-disciplinary differences in NTT distributions. The lexicogrammatical analysis indicates that the five types of NTTs can construct different knowledge. With the findings, we put forward implications for teaching biology in secondary schools.</p></div>

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Ecosystem

SpringerReference · 2012

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Ecosystem

Atmospheric Co, O In A Northern Hardwood, Lingli Liu et al. · 2008

We examined the effects of elevated CO2 and O3 and their interaction on leaf litter chemistry and decomposition in pure stands of aspen (Populus tremuloides) and mixed stands of birch (Betula papyrifera) and aspen at the Aspen Free Air CO 2 Enrichment (FACE) experiment. A 935-day in situ incubation study was performed using litterbags filled with naturally senesced leaf litter. We found that elevated CO2 had no overall effects on litter decomposition rates, whereas elevated O3 reduced litter mass loss (-13%) in the first year. The effect

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ecosystem

Douglas F. Bertram, David L. Mackas B, Stewart M. Mckinnell C · 2014

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Ecosystem

Daniela Francesca Virdis · 2022

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