Gerold, Gerhard

[["dc.bibliographiccitation.firstpage","109"],["dc.bibliographiccitation.issue","2"],["dc.bibliographiccitation.journal","Erdkunde"],["dc.bibliographiccitation.lastpage","122"],["dc.bibliographiccitation.volume","67"],["dc.contributor.author","Köhler, Stefan"],["dc.contributor.author","Jungkunst, Hermann F."],["dc.contributor.author","Erasmi, Stefan"],["dc.contributor.author","Gerold, Gerhard"],["dc.date.accessioned","2018-11-07T09:26:10Z"],["dc.date.accessioned","2020-05-11T13:17:09Z"],["dc.date.available","2018-11-07T09:26:10Z"],["dc.date.available","2020-05-11T13:17:09Z"],["dc.date.issued","2013"],["dc.description.abstract","Deposition rates in remote areas due to anthropogenic emissions are increasing in Asian countries and elsewhere. The burning of biomass in slash-and-burn activities, in addition to burning fossil fuel result in higher rates of atmospheric deposition at forest and agricultural sites. An investigation of bulk depositions in Central Sulawesi was conducted at 13 field sites along a land use cover gradient that included natural and unused sites, slash-and-burn sites, and consolidated agricultural systems around and in the Lore Lindu National Park, an area of more than 2310 km(2). Bulk depositions rates were measured with passive ion exchange collectors. Our results show that Central Sulawesi generally experiences low deposition rates. Depositions that originate mainly from anthropogenic sources, such as nitrate, are very low, i.e. between 0.1 and 0.8 kg ha(-1) a(-1), but increase to 2.4 nitrate kg ha(-1) a(-1) near slash-and-burn areas. Similar patterns were found for elements such as potassium and calcium. Indeterminate depositions were found for geogenic elements such as iron, manganese and aluminium and in some cases phosphorus. A principal component analysis allowed differentiation between the contributions of different sources and different element to the total deposition impact in most cases. Specific deposition rates were recorded for different land use systems. The main factor that generated different deposition patterns was biomass burning resulting from slash-and-burn activities. The latter determined the composition of atmospheric depositions of nearby sites, but the more distant sites inside the national park do not appear to be influenced by these anthropogenic activities yet."],["dc.description.sponsorship","German Research Foundation (DFG) [SFB 552]"],["dc.identifier.doi","10.3112/erdkunde.2013.02.01"],["dc.identifier.isi","000324807900001"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/65017"],["dc.language.iso","en"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.relation.issn","0014-0015"],["dc.title","The effects of land use change on atmospheric nutrientdeposition in Central Sulawesi"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","4973"],["dc.bibliographiccitation.issue","12"],["dc.bibliographiccitation.journal","Proceedings of the National Academy of Sciences"],["dc.bibliographiccitation.lastpage","4978"],["dc.bibliographiccitation.volume","104"],["dc.contributor.author","Steffan-Dewenter, Ingolf"],["dc.contributor.author","Kessler, Michael"],["dc.contributor.author","Barkmann, Jan"],["dc.contributor.author","Bos, Merijn M."],["dc.contributor.author","Buchori, Damayanti"],["dc.contributor.author","Erasmi, Stefan"],["dc.contributor.author","Faust, Heiko"],["dc.contributor.author","Gerold, Gerhard"],["dc.contributor.author","Glenk, Klaus"],["dc.contributor.author","Gradstein, S. Robbert"],["dc.contributor.author","Guhardja, Edi"],["dc.contributor.author","Harteveld, Marieke"],["dc.contributor.author","Hertel, Dietrich"],["dc.contributor.author","Höhn, Patrick"],["dc.contributor.author","Kappas, Martin"],["dc.contributor.author","Köhler, Stefan"],["dc.contributor.author","Leuschner, Christoph"],["dc.contributor.author","Maertens, Miet"],["dc.contributor.author","Marggraf, Rainer"],["dc.contributor.author","Migge-Kleian, Sonja"],["dc.contributor.author","Mogea, Johanis"],["dc.contributor.author","Pitopang, Ramadhanil"],["dc.contributor.author","Schaefer, Matthias"],["dc.contributor.author","Schwarze, Stefan"],["dc.contributor.author","Sporn, Simone G."],["dc.contributor.author","Steingrebe, Andrea"],["dc.contributor.author","Tjitrosoedirdjo, Sri Sudarmiyati"],["dc.contributor.author","Tjitrosoemito, Soekisman"],["dc.contributor.author","Twele, André"],["dc.contributor.author","Weber, Robert"],["dc.contributor.author","Woltmann, Lars"],["dc.contributor.author","Zeller, Manfred"],["dc.contributor.author","Tscharntke, Teja"],["dc.date.accessioned","2017-09-07T11:44:51Z"],["dc.date.accessioned","2020-05-11T13:28:11Z"],["dc.date.available","2017-09-07T11:44:51Z"],["dc.date.available","2020-05-11T13:28:11Z"],["dc.date.issued","2007"],["dc.description.abstract","Losses of biodiversity and ecosystem functioning due to rainforest destruction and agricultural intensification are prime concerns for science and society alike. Potentially, ecosystems show nonlinear responses to land-use intensification that would open management options with limited ecological losses but satisfying economic gains. However, multidisciplinary studies to quantify ecological losses and socioeconomic tradeoffs under different management options are rare. Here, we evaluate opposing land use strategies in cacao agroforestry in Sulawesi, Indonesia, by using data on species richness of nine plant and animal taxa, six related ecosystem functions, and on socioeconomic drivers of agroforestry expansion. Expansion of cacao cultivation by 230% in the last two decades was triggered not only by economic market mechanisms, but also by rarely considered cultural factors. Transformation from near-primary forest to agroforestry had little effect on overall species richness, but reduced plant biomass and carbon storage by ≈75% and species richness of forest-using species by ≈60%. In contrast, increased land use intensity in cacao agroforestry, coupled with a reduction in shade tree cover from 80% to 40%, caused only minor quantitative changes in biodiversity and maintained high levels of ecosystem functioning while doubling farmers' net income. However, unshaded systems further increased income by ≈40%, implying that current economic incentives and cultural preferences for new intensification practices put shaded systems at risk. We conclude that low-shade agroforestry provides the best available compromise between economic forces and ecological needs. Certification schemes for shade-grown crops may provide a market-based mechanism to slow down current intensification trends."],["dc.identifier.doi","10.1073/pnas.0608409104"],["dc.identifier.gro","3148984"],["dc.identifier.scopus","2-s2.0-34247633507"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/5623"],["dc.identifier.url","http://www.scopus.com/inward/record.url?eid=2-s2.0-34247633507&partnerID=MN8TOARS"],["dc.language.iso","en"],["dc.notes.intern","Faust Crossref Import"],["dc.notes.status","final"],["dc.notes.submitter","chake"],["dc.relation.eissn","1091-6490"],["dc.relation.issn","0027-8424"],["dc.title","Tradeoffs between income, biodiversity, and ecosystem functioning during tropical rainforest conversion and agroforestry intensification"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","no"],["dspace.entity.type","Publication"]]

[["dc.contributor.author","le Mellec, Anne"],["dc.contributor.author","Möller, Katrin"],["dc.contributor.author","Vogt-Altena, Holger"],["dc.contributor.author","Reinhardt, Annett"],["dc.contributor.author","Erasmi, Stefan"],["dc.contributor.author","Korczynski, Ignacy"],["dc.contributor.author","Karg, Jerzey"],["dc.contributor.author","Slowik, Jolanta"],["dc.contributor.author","Gerold, Gerhard"],["dc.contributor.author","Thies, Carsten"],["dc.contributor.author","Kätzel, Ralf"],["dc.date.accessioned","2020-04-29T16:39:44Z"],["dc.date.accessioned","2020-05-12T08:32:25Z"],["dc.date.available","2020-04-29T16:39:44Z"],["dc.date.available","2020-05-12T08:32:25Z"],["dc.date.issued","2009"],["dc.identifier.doi","10.1088/1755-1307/6/38/382026"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/64520"],["dc.language.iso","en"],["dc.relation.ispartof","Adapting Forests to Climate Change"],["dc.title","From carbon sinks to carbon sources – a concept for studying climate change-induced insect outbreaks and forest ecosystem feedbacks"],["dc.type","book_chapter"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","1161"],["dc.bibliographiccitation.firstpage","1161"],["dc.bibliographiccitation.issue","10"],["dc.bibliographiccitation.journal","Remote Sensing"],["dc.bibliographiccitation.volume","11"],["dc.contributor.author","de Souza Mendes, Flávia"],["dc.contributor.author","Baron, Daniel"],["dc.contributor.author","Gerold, Gerhard"],["dc.contributor.author","Liesenberg, Veraldo"],["dc.contributor.author","Erasmi, Stefan"],["dc.date.accessioned","2019-07-09T11:51:29Z"],["dc.date.accessioned","2020-05-11T13:22:28Z"],["dc.date.available","2019-07-09T11:51:29Z"],["dc.date.available","2020-05-11T13:22:28Z"],["dc.date.issued","2019"],["dc.description.abstract","Mapping vegetation types through remote sensing images has proved to be e ective, especially in large biomes, such as the Brazilian Cerrado, which plays an important role in the context of management and conservation at the agricultural frontier of the Amazon. We tested several combinations of optical and radar images to identify the four dominant vegetation types that are prevalent in the Cerrado area (i.e., cerrado denso, cerradão, gallery forest, and secondary forest). We extracted features from both sources of data such as intensity, grey level co-occurrence matrix, coherence, and polarimetric decompositions using Sentinel 2A, Sentinel 1A, ALOS-PALSAR 2 dual/full polarimetric, and TanDEM-X images during the dry and rainy season of 2017. In order to normalize the analysis of these features, we used principal component analysis and subsequently applied the Random Forest algorithm to evaluate the classification of vegetation types. During the dry season, the overall accuracy ranged from 48 to 83%, and during the dry and rainy seasons it ranged from 41 up to 82%. The classification using Sentinel 2A images during the dry season resulted in the highest overall accuracy and kappa values, followed by the classification that used images from all sensors during the dry and rainy season. Optical images during the dry season were su cient to map the di erent types of vegetation in our study area."],["dc.identifier.doi","10.3390/rs11101161"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/16135"],["dc.identifier.scopus","2-s2.0-85066761706"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/59955"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/65039"],["dc.identifier.url","http://www.scopus.com/inward/record.url?eid=2-s2.0-85066761706&partnerID=MN8TOARS"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.publisher","MDPI"],["dc.relation.eissn","2072-4292"],["dc.relation.issn","2072-4292"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.subject.ddc","550"],["dc.title","Optical and SAR Remote Sensing Synergism for Mapping Vegetation Types in the Endangered Cerrado/Amazon Ecotone of Nova Mutum—Mato Grosso"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","284"],["dc.bibliographiccitation.issue","3"],["dc.bibliographiccitation.journal","Erdkunde"],["dc.bibliographiccitation.lastpage","293"],["dc.bibliographiccitation.volume","61"],["dc.contributor.author","Leemhuis, Constanze"],["dc.contributor.author","Erasmi, Stefan"],["dc.contributor.author","Twele, Andre"],["dc.contributor.author","Kreilein, Heinrich"],["dc.contributor.author","Oltchev, Alexander"],["dc.contributor.author","Gerold, Gerhard"],["dc.date.accessioned","2018-11-07T11:00:57Z"],["dc.date.accessioned","2020-05-11T13:19:35Z"],["dc.date.available","2018-11-07T11:00:57Z"],["dc.date.available","2020-05-11T13:19:35Z"],["dc.date.issued","2007"],["dc.description.abstract","The present land cover of humid tropical catchment areas mainly regulates the flow of vapour to the atmosphere. Therefore land use decisions play an important role for the water balance of a tropical catchment. Studies that relate land cover changes with river discharge changes for humid tropical catchment areas at the mesoscale level are rare. This article applies an integrated remote sensing and hydrological modelling approach to analyse the impact of land cover changes on the water resources of a mesoscale humid tropical catchment. First, a change detection analysis of Landsat/ETM+ satellite images was carried out to quantify land cover changes of the mesoscale Gumbasa River catchment in Central Sulawesi, Indonesia. Thereafter the distributed hydrological model WASIM-ETH was calibrated and validated for the current Landsat/ETM+, scene. The historical Landsat/ETM+ scene was integrated for the hydrological model application as a historical land cover scenario. Further hypothetical total-change scenarios were carried out. The results of the hydrological model scenario application clearly demonstrate a strong relationship between deforestation rates and increasing discharge variability. Especially a significant increase of high water discharges was simulated for the applied scenarios. With regard to the high deforestation rates of the research catchment, one can expect further changes of the water balance."],["dc.identifier.doi","10.3112/erdkunde.2007.03.06"],["dc.identifier.isi","000251117300006"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/65029"],["dc.language.iso","en"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.relation.issn","0014-0015"],["dc.title","Rainforest conversion in Central Sulawesi, Indonesia: Recent development and consequences for river discharge and water resources - An integrated remote sensing and hydrological modelling approach"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","61"],["dc.bibliographiccitation.journal","Ecological Informatics"],["dc.bibliographiccitation.lastpage","68"],["dc.bibliographiccitation.volume","18"],["dc.contributor.author","Hosseini, Seyed Zeynalabedin"],["dc.contributor.author","Kappas, Martin W."],["dc.contributor.author","Chahouki, M. A. Zare"],["dc.contributor.author","Gerold, Gerhard"],["dc.contributor.author","Erasmi, Stefan"],["dc.contributor.author","Emam, Ammar Rafiei"],["dc.date.accessioned","2018-11-07T09:17:53Z"],["dc.date.accessioned","2020-05-08T06:40:00Z"],["dc.date.accessioned","2020-05-11T13:21:11Z"],["dc.date.available","2018-11-07T09:17:53Z"],["dc.date.available","2020-05-08T06:40:00Z"],["dc.date.available","2020-05-11T13:21:11Z"],["dc.date.issued","2013"],["dc.description.abstract","Predicting potential habitats of endemic species is a suitable method for biodiversity conservation and rehabilitation of rangeland ecosystems. The present study was conducted to estimate the geographic distribution of Artemisia sieberi (A. sieberi) and Artemisia aucheri (A. aucheri), find the most important environmental predictor variables and seek for similarities and differences in habitat preferences between the two species for Poshtkouh rangelands in Central Iran. Maps of environmental variables were created by means of geographic information system (GIS) and geostatistics. Then predictive distribution maps of both species were produced using the maximum entropy modeling technique (Maxent) and presence-only data. Model accuracy is evaluated by using the area under the curve (AUC). Lime1, grave1, lime 2 and elevation most significantly affect habitat distribution of A. aucheri, while habitat distribution of A. sieberi is affected by elevation, lime1, am1, lime1 and om2. For both species, elevation has an influence on their potential distributions. However, A aucheri depends more on elevation, and consequently climate in comparison to A. sieberi. Finally, it is revealed that the potential distribution of A. aucheri is limited mostly to mountainous landscapes while A. sieberi is present in wide ranges of environmental conditions. (C) 2013 Elsevier B.V. All rights reserved."],["dc.identifier.doi","10.1016/j.ecoinf.2013.05.002"],["dc.identifier.isi","000327914600007"],["dc.identifier.scopus","2-s2.0-84880345729"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/65036"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/28281"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/64940"],["dc.identifier.url","http://www.scopus.com/inward/record.url?eid=2-s2.0-84880345729&partnerID=MN8TOARS"],["dc.language.iso","en"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.relation.eissn","1878-0512"],["dc.relation.issn","1574-9541"],["dc.title","Modelling potential habitats for Artemisia sieberi and Artemisia aucheri in Poshtkouh area, central Iran using the maximum entropy model and geostatistics"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dspace.entity.type","Publication"]]