Schulte-Bisping, Hubert

[["dc.bibliographiccitation.firstpage","256"],["dc.bibliographiccitation.journal","Ecological Indicators"],["dc.bibliographiccitation.lastpage","265"],["dc.bibliographiccitation.volume","24"],["dc.contributor.author","Holmberg, M."],["dc.contributor.author","Vuorenmaa, J."],["dc.contributor.author","Posch, Martin"],["dc.contributor.author","Forsius, M."],["dc.contributor.author","Lundin, Lars"],["dc.contributor.author","Kleemola, S."],["dc.contributor.author","Augustaitis, A."],["dc.contributor.author","Beudert, Burkhard"],["dc.contributor.author","de Wit, H. A."],["dc.contributor.author","Dirnboeck, Thomas"],["dc.contributor.author","Evans, Colin"],["dc.contributor.author","Frey, Joachim"],["dc.contributor.author","Grandin, Ulf"],["dc.contributor.author","Indriksone, I."],["dc.contributor.author","Kram, P."],["dc.contributor.author","Pompei, E."],["dc.contributor.author","Schulte-Bisping, Hubert"],["dc.contributor.author","Srybny, A."],["dc.contributor.author","Vana, M."],["dc.date.accessioned","2018-11-07T09:31:04Z"],["dc.date.available","2018-11-07T09:31:04Z"],["dc.date.issued","2013"],["dc.description.abstract","Critical loads for acidification and eutrophication and their exceedances were determined for a selection of ecosystem effects monitoring sites in the Integrated Monitoring programme (UNECE ICP IM). The level of protection of these sites with respect to acidifying and eutrophying deposition was estimated for 2000 and 2020. In 2020 more sites were protected from acidification (67%) than in 2000(61%). However, due to the sensitivity of the sites, even the maximum technically feasible emission reductions scenario would not protect all sites from acidification. In 2000, around 20% of the IM sites were protected from eutrophication. In 2020, under reductions in accordance with current legislation, about one third of the sites would be protected, and at best, with the maximum technically feasible reductions, half of the sites would be protected from eutrophication. Data from intensively monitored sites, such as those in ICP IM, provide a connection between modelled critical thresholds and empirical observations, and thus an indication of the applicability of critical load estimates for natural ecosystems. Across the sites, there was good correlation between the exceedance of critical loads for acidification and key acidification parameters in runoff water, both with annual mean fluxes and concentrations. There was also evidence of a link between exceedances of critical loads of nutrient nitrogen and nitrogen leaching. The collected empirical data of the ICP IM thus allow testing and validation of key concepts used in the critical load calculations. This increases confidence in the European-scale critical loads mapping used in integrated assessment modelling to support emission reduction agreements. (C) 2012 Elsevier Ltd. All rights reserved."],["dc.identifier.doi","10.1016/j.ecolind.2012.06.013"],["dc.identifier.isi","000311059900030"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/31458"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Elsevier Science Bv"],["dc.relation.issn","1470-160X"],["dc.title","Relationship between critical load exceedances and empirical impact indicators at Integrated Monitoring sites across Europe"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.journal","Geoderma"],["dc.bibliographiccitation.volume","64"],["dc.contributor.author","Prenzel, Jürgen"],["dc.contributor.author","Schulte-Bisping, Hubert"],["dc.date.accessioned","2021-11-04T21:18:59Z"],["dc.date.available","2021-11-04T21:18:59Z"],["dc.date.issued","1995"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/92747"],["dc.language.iso","en"],["dc.title","Some chemical parameter relations in a population of German forest soils"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","5131"],["dc.bibliographiccitation.issue","16"],["dc.bibliographiccitation.journal","Biogeosciences"],["dc.bibliographiccitation.lastpage","5154"],["dc.bibliographiccitation.volume","15"],["dc.contributor.author","Kurniawan, Syahrul"],["dc.contributor.author","Corre, Marife D."],["dc.contributor.author","Matson, Amanda L."],["dc.contributor.author","Schulte-Bisping, Hubert"],["dc.contributor.author","Utami, Sri Rahayu"],["dc.contributor.author","van Straaten, Oliver"],["dc.contributor.author","Veldkamp, Edzo"],["dc.date.accessioned","2019-07-09T11:45:54Z"],["dc.date.available","2019-07-09T11:45:54Z"],["dc.date.issued","2018"],["dc.description.abstract","Conversion of forest to rubber and oil palm plantations is widespread in Sumatra, Indonesia, and it is largely unknown how such land-use conversion affects nutrient leaching losses. Our study aimed to quantify nutrient leaching and nutrient retention efficiency in the soil after land-use conversion to smallholder rubber and oil palm plantations. In Jambi province, Indonesia, we selected two landscapes on highly weathered Acrisol soils that mainly differed in texture: loam and clay. Within each soil type, we compared two reference land uses, lowland forest and jungle rubber (defined as rubber trees interspersed in secondary forest), with two converted land uses: smallholder rubber and oil palm plantations. Within each soil type, the first three land uses were represented by 4 replicate sites and the oil palm by three sites, totaling 30 sites. We measured leaching losses using suction cup lysimeters sampled biweekly to monthly from February to December 2013. Forests and jungle rubber had low solute concentrations in drainage water, suggesting low internal inputs of rock-derived nutrients and efficient internal cycling of nutrients. These reference land uses on the clay Acrisol soils had lower leaching of dissolved N and base cations (P D0.01–0.06) and higher N and base cation retention efficiency (P < 0.01–0.07) than those on the loam Acrisols. In the converted land uses, particularly on the loam Acrisol, the fertilized area of oil palm plantations showed higher leaching of dissolved N, organic C, and base cations (P < 0.01–0.08) and lower N and base cation retention efficiency compared to all the other land uses (P < 0.01–0.06). The unfertilized rubber plantations, particularly on the loam Acrisol, showed lower leaching of dissolved P (P D 0:08) and organic C (P < 0.01) compared to forest or jungle rubber, reflecting decreases in soil P stocks and C inputs to the soil. Our results suggest that land-use conversion to rubber and oil palm causes disruption of initially efficient nutrient cycling, which decreases nutrient availability. Over time, smallholders will likely be increasingly reliant on fertilization, with the risk of diminishing water quality due to increased nutrient leaching. Thus, there is a need to develop management practices to minimize leaching while sustaining productivity."],["dc.identifier.doi","10.5194/bg-15-5131-2018"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/15340"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/59333"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.relation","SFB 990: Ökologische und sozioökonomische Funktionen tropischer Tieflandregenwald-Transformationssysteme (Sumatra, Indonesien)"],["dc.relation","SFB 990 | A | A05: Optimierung des Nährstoffmanagements in Ölpalmplantagen und Hochrechnung plot-basierter Treibhausgasflüsse auf die Landschaftsebene transformierter Regenwälder"],["dc.relation.issn","1726-4189"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.subject.ddc","570"],["dc.subject.gro","sfb990_journalarticles"],["dc.title","Conversion of tropical forests to smallholder rubber and oil palm plantations impacts nutrient leaching losses and nutrient retention efficiency in highly weathered soils"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","1129"],["dc.bibliographiccitation.journal","Science of The Total Environment"],["dc.bibliographiccitation.lastpage","1145"],["dc.bibliographiccitation.volume","625"],["dc.contributor.author","Vuorenmaa, Jussi"],["dc.contributor.author","Augustaitis, Algirdas"],["dc.contributor.author","Beudert, Burkhard"],["dc.contributor.author","Bochenek, Witold"],["dc.contributor.author","Clarke, Nicholas"],["dc.contributor.author","de Wit, Heleen A."],["dc.contributor.author","Dirnböck, Thomas"],["dc.contributor.author","Frey, Jane"],["dc.contributor.author","Hakola, Hannele"],["dc.contributor.author","Kleemola, Sirpa"],["dc.contributor.author","Kobler, Johannes"],["dc.contributor.author","Krám, Pavel"],["dc.contributor.author","Lindroos, Antti-Jussi"],["dc.contributor.author","Lundin, Lars"],["dc.contributor.author","Löfgren, Stefan"],["dc.contributor.author","Marchetto, Aldo"],["dc.contributor.author","Pecka, Tomasz"],["dc.contributor.author","Schulte-Bisping, Hubert"],["dc.contributor.author","Skotak, Krzysztof"],["dc.contributor.author","Srybny, Anatoly"],["dc.contributor.author","Szpikowski, Józef"],["dc.contributor.author","Ukonmaanaho, Liisa"],["dc.contributor.author","Váňa, Milan"],["dc.contributor.author","Åkerblom, Staffan"],["dc.contributor.author","Forsius, Martin"],["dc.date.accessioned","2020-12-10T15:21:11Z"],["dc.date.available","2020-12-10T15:21:11Z"],["dc.date.issued","2018"],["dc.identifier.doi","10.1016/j.scitotenv.2017.12.245"],["dc.identifier.issn","0048-9697"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/72944"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.title","Long-term changes (1990–2015) in the atmospheric deposition and runoff water chemistry of sulphate, inorganic nitrogen and acidity for forested catchments in Europe in relation to changes in emissions and hydrometeorological conditions"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","600"],["dc.bibliographiccitation.journal","The Science of The Total Environment"],["dc.bibliographiccitation.lastpage","610"],["dc.bibliographiccitation.volume","538"],["dc.contributor.author","Meyer, Michaela"],["dc.contributor.author","Schroeder, Winfried"],["dc.contributor.author","Nickel, Stefan"],["dc.contributor.author","Leblond, Sebastien"],["dc.contributor.author","Lindroos, Antti-Jussi"],["dc.contributor.author","Mohr, Karsten"],["dc.contributor.author","Poikolainen, Jarmo"],["dc.contributor.author","Miguel Santamaria, Jesus"],["dc.contributor.author","Skudnik, Mitja"],["dc.contributor.author","Thoeni, Lotti"],["dc.contributor.author","Beudert, Burkhard"],["dc.contributor.author","Dieffenbach-Fries, Helga"],["dc.contributor.author","Schulte-Bisping, Hubert"],["dc.contributor.author","Zechmeister, Harald G."],["dc.date.accessioned","2018-11-07T09:47:31Z"],["dc.date.available","2018-11-07T09:47:31Z"],["dc.date.issued","2015"],["dc.description.abstract","High atmospheric deposition of nitrogen (N) impacts functions and structures of N limited ecosystems. Due to filtering and related canopy drip effects forests are particularly exposed to N deposition. Up to now, this was proved by many studies using technical deposition samplers but there are only some few studies analysing the canopy drip effect on the accumulation of N in moss and related small scale atmospheric deposition patterns. Therefore, we investigated N deposition and related accumulation of N in forests and in (neighbouring) open fields by use of moss sampled across seven European countries. Sampling and chemical analyses were conducted according to the experimental protocol of the European Moss Survey. The ratios between the measured N content in moss sampled inside and outside of forests were computed and used to calculate estimates for non-sampled sites. Potentially influencing environmental factors were integrated in order to detect their relationships to the N content in moss. The overall average N content measured in moss was 20.0 mg g(-1) inside and 11.9 mg g(-1), outside of forests with highest N values in Germany inside of forests. Explaining more than 70% of the variance, the multivariate analyses confirmed that the sampling site category (site with/without canopy drip) showed the strongest correlation with the N-content in moss. Spatial variances due to enhanced dry deposition in vegetation stands should be considered in future monitoring and modelling of atmospheric N deposition. (C) 2015 Elsevier B.V. All rights reserved."],["dc.description.sponsorship","Umweltbundesamt Vienna"],["dc.identifier.doi","10.1016/j.scitotenv.2015.07.069"],["dc.identifier.isi","000363348900058"],["dc.identifier.pmid","26318813"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/35129"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Elsevier Science Bv"],["dc.relation.issn","1879-1026"],["dc.relation.issn","0048-9697"],["dc.title","Relevance of canopy drip for the accumulation of nitrogen in moss used as biomonitors for atmospheric nitrogen deposition in Europe"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","1171"],["dc.bibliographiccitation.issue","8"],["dc.bibliographiccitation.journal","Global Change Biology"],["dc.bibliographiccitation.lastpage","1184"],["dc.bibliographiccitation.volume","9"],["dc.contributor.author","Veldkamp, Edzo"],["dc.contributor.author","Becker, Anja"],["dc.contributor.author","Schwendenmann, Luitgard"],["dc.contributor.author","Clark, Deborah A."],["dc.contributor.author","Schulte-Bisping, Hubert"],["dc.date.accessioned","2017-09-07T11:54:55Z"],["dc.date.available","2017-09-07T11:54:55Z"],["dc.date.issued","2003"],["dc.description.abstract","Contrary to large areas in Amazonia of tropical moist forests with a pronounced dry season, tropical wet forests in Costa Rica do not depend on deep roots to maintain an evergreen forest canopy through the year. At our Costa Rican tropical wet forest sites, we found a large carbon stock in the subsoil of deeply weathered Oxisols, even though only 0.04–0.2% of the measured root biomass (>2 mm diameter) to 3 m depth was below 2 m. In addition, we demonstrate that 20% or more of this deep soil carbon (depending on soil type) can be mobilized after forest clearing for pasture establishment. Microbial activity between 0.3 and 3 m depth contributed about 50% to the microbial activity in these soils, confirming the importance of the subsoil in C cycling. Depending on soil type, forest clearing for pasture establishment led from no change to a slight addition of carbon in the topsoil (0–0.3 m depth). However, this effect was countered by a substantial loss of C stocks in the subsoil (1–3 m depth). Our results show that large stocks of relatively labile carbon are not limited to areas with a prolonged dry season, but can also be found in deeply weathered soils below tropical wet forests. Forest clearing in such areas may produce unexpectedly high C losses from the subsoil."],["dc.identifier.doi","10.1046/j.1365-2486.2003.00656.x"],["dc.identifier.gro","3150152"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/6884"],["dc.language.iso","en"],["dc.notes.status","final"],["dc.relation.issn","1354-1013"],["dc.subject","Costa Rica; deforestation; land-use change; microbial activity; pasture; soil organic carbon; tropical rain forest"],["dc.title","Substantial labile carbon stocks and microbial activity in deeply weathered soils below a tropical wet forest"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","unknown"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","7"],["dc.bibliographiccitation.journal","iForest - Biogeosciences and Forestry"],["dc.bibliographiccitation.lastpage","10"],["dc.bibliographiccitation.volume","2"],["dc.contributor.author","Jochheim, H."],["dc.contributor.author","Puhlmann, M."],["dc.contributor.author","Beese, F."],["dc.contributor.author","Berthold, D."],["dc.contributor.author","Einert, P."],["dc.contributor.author","Kallweit, R."],["dc.contributor.author","Konopatzky, A."],["dc.contributor.author","Meesenburg, H."],["dc.contributor.author","Meiwes, K. J."],["dc.contributor.author","Raspe, S."],["dc.contributor.author","Schulte-Bisping, Hubert"],["dc.contributor.author","Schulz, C."],["dc.date.accessioned","2018-11-07T08:33:28Z"],["dc.date.available","2018-11-07T08:33:28Z"],["dc.date.issued","2009"],["dc.description.abstract","It is shown that by calibrating the simulation model BIOME-BGC with mandatory and optional Level II data, within the ICP Forest programme, a well-founded calculation of the carbon budget of forest stands is achievable and, based on succeeded calibration, the modified BIOME-BGC model is a useful tool to assess the effect of climate change on forest ecosystems."],["dc.identifier.doi","10.3832/ifor0475-002"],["dc.identifier.isi","000207917500003"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/5854"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/17585"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.relation.issn","1971-7458"],["dc.rights","Goescholar"],["dc.rights.uri","https://goescholar.uni-goettingen.de/licenses"],["dc.title","Modelling the carbon budget of intensive forest monitoring sites in Germany using the simulation model BIOME-BGC"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","13480"],["dc.bibliographiccitation.firstpage","2174"],["dc.bibliographiccitation.journal","Hydrological Processes"],["dc.bibliographiccitation.lastpage","2191"],["dc.bibliographiccitation.volume","33"],["dc.contributor.author","Douinot, A."],["dc.contributor.author","Tetzlaff, D."],["dc.contributor.author","Maneta, M."],["dc.contributor.author","Kuppel, S."],["dc.contributor.author","Schulte‐Bisping, H."],["dc.contributor.author","Soulsby, C."],["dc.date.accessioned","2019-10-28T11:11:10Z"],["dc.date.accessioned","2021-10-27T13:13:34Z"],["dc.date.available","2019-10-28T11:11:10Z"],["dc.date.available","2021-10-27T13:13:34Z"],["dc.date.issued","2019"],["dc.description.abstract","We used the new process‐based, tracer‐aided ecohydrological model EcH2O‐iso to assess the effects of vegetation cover on water balance partitioning and associated flux ages under temperate deciduous beech forest (F) and grassland (G) at an intensively monitored site in Northern Germany. Unique, multicriteria calibration, based on measured components of energy balance, hydrological function and biomass accumulation, resulted in good simulations reproducing measured soil surface temperatures, soil water content, transpiration, and biomass production. Model results showed the forest “used” more water than the grassland; of 620 mm average annual precipitation, losses were higher through interception (29% under F, 16% for G) and combined soil evaporation and transpiration (59% F, 47% G). Consequently, groundwater (GW) recharge was enhanced under grassland at 37% (~225 mm) of precipitation compared with 12% (~73 mm) for forest. The model tracked the ages of water in different storage compartments and associated fluxes. In shallow soil horizons, the average ages of soil water fluxes and evaporation were similar in both plots (~1.5 months), though transpiration and GW recharge were older under forest (~6 months compared with ~3 months for transpiration, and ~12 months compared with ~10 months for GW). Flux tracking using measured chloride data as a conservative tracer provided independent support for the modelling results, though highlighted effects of uncertainties in forest partitioning of evaporation and transpiration. By tracking storage— flux—age interactions under different land covers, EcH2O‐iso could quantify the effects of vegetation on water partitioning and age distributions. Given the likelihood of drier, warmer summers, such models can help assess the implications of land use for water resource availability to inform debates over building landscape resilience to climate change. Better conceptualization of soil water mixing processes and improved calibration data on leaf area index and root distribution appear obvious respective modelling and data needs for improved simulations."],["dc.identifier.doi","10.1002/hyp.13480"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/16542"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/91789"],["dc.language.iso","en"],["dc.notes.intern","Migrated from goescholar"],["dc.notes.intern","In goescholar not merged with http://resolver.sub.uni-goettingen.de/purl?gs-1/16426 but duplicate"],["dc.relation","info:eu-repo/grantAgreement/EC/FP7/335910/EU//VEWA"],["dc.relation.eissn","1099-1085"],["dc.relation.issn","1099-1085"],["dc.relation.issn","0885-6087"],["dc.relation.orgunit","Fakultät für Forstwissenschaften und Waldökologie"],["dc.rights","CC BY 4.0"],["dc.rights.access","openAccess"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.subject","forest hydrology; ecohydrology; tracers; tracer‐aided models"],["dc.subject.ddc","570"],["dc.title","Ecohydrological modelling with EcH 2 O‐iso to quantify forest and grassland effects on water partitioning and flux ages"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]