Degener, Jan F.

[["dc.bibliographiccitation.firstpage","194008291877108"],["dc.bibliographiccitation.journal","Tropical Conservation Science"],["dc.bibliographiccitation.volume","11"],["dc.contributor.author","Gómez-Díaz, Jorge Antonio"],["dc.contributor.author","Brast, Kristina"],["dc.contributor.author","Degener, Jan"],["dc.contributor.author","Krömer, Thorsten"],["dc.contributor.author","Ellis, Edward"],["dc.contributor.author","Heitkamp, Felix"],["dc.contributor.author","Gerold, Gerhard"],["dc.date.accessioned","2020-12-10T18:38:38Z"],["dc.date.available","2020-12-10T18:38:38Z"],["dc.date.issued","2018"],["dc.identifier.doi","10.1177/1940082918771089"],["dc.identifier.eissn","1940-0829"],["dc.identifier.issn","1940-0829"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/77394"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.title","Long-Term Changes in Forest Cover in Central Veracruz, Mexico (1993–2014)"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","242"],["dc.bibliographiccitation.issue","4"],["dc.bibliographiccitation.journal","Hydrology (Basel)"],["dc.bibliographiccitation.lastpage","265"],["dc.bibliographiccitation.volume","2"],["dc.contributor.author","Nguyen, Hong"],["dc.contributor.author","Degener, Jan"],["dc.contributor.author","Kappas, Martin"],["dc.date.accessioned","2020-05-11T14:51:14Z"],["dc.date.available","2020-05-11T14:51:14Z"],["dc.date.issued","2015"],["dc.description.abstract","Northern Vietnam is a region prone to heavy flash flooding events. These often have devastating effects on the environment, cause economic damage and, in the worst case scenario, cost human lives. As their frequency and severity are likely to increase in the future, procedures have to be established to cope with this threat. As the prediction of potential flash floods represents one crucial element in this circumstance, we will present an approach that combines the two models KINEROS2 and HEC-RAS in order to accurately predict their occurrence. We used a documented event on 23 June 2011 in the Nam Khat and the larger adjacent Nam Kim watershed to calibrate the coupled model approach. Afterward, we evaluated the performance of the coupled models in predicting flow velocity (FV), water levels (WL), discharge (Q) and streamflow power (P) during the 3–5 days following the event, using two different precipitation datasets from the global spectral model (GSM) and the high resolution model (HRM). Our results show that the estimated Q and WL closely matched observed data with a Nash–Sutcliffe simulation efficiency coefficient (NSE) of around 0.93 and a coefficient of determination (R2) at above 0.96. The resulting analyses reveal strong relationships between river geometry and FV, WL and P. Although there were some minor errors in forecast results, the model-predicted Q and WL corresponded well to the gauged data."],["dc.identifier.doi","10.3390/hydrology2040242"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/65072"],["dc.language.iso","en"],["dc.relation.issn","2306-5338"],["dc.title","Flash Flood Prediction by Coupling KINEROS2 and HEC-RAS Models for Tropical Regions of Northern Vietnam"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","99"],["dc.bibliographiccitation.issue","2"],["dc.bibliographiccitation.journal","International Soil and Water Conservation Research"],["dc.bibliographiccitation.lastpage","110"],["dc.bibliographiccitation.volume","6"],["dc.contributor.author","Pham, Tung Gia"],["dc.contributor.author","Degener, Jan"],["dc.contributor.author","Kappas, Martin"],["dc.date.accessioned","2020-05-11T13:57:52Z"],["dc.date.available","2020-05-11T13:57:52Z"],["dc.date.issued","2018"],["dc.description.abstract","Soil loss due to erosion is a global problem, especially affecting natural resources and agricultural production. In fact, soil erosion is one of the most dangerous hazards. Central Vietnam is very susceptible to soil erosion due to its complicated terrain and heavy rainfall. The study was conducted in the A Sap river basin, A Luoi district, Thua Thien Hue Province, Vietnam, using the Universal Soil Loss Equation (USLE) and Geographical Information System (GIS) to determine the soil erosion circumstances. The results show that 34% of land area lost accumulated to 10 t ha⁻¹ year⁻¹ while 47% of the total area lost less than 1 t ha⁻¹ year⁻¹. Natural forest land lost the most with an average of about 19 t ha⁻¹ year⁻¹, followed by plantation forest with approximately 7 t ha⁻¹ year⁻¹ and other agricultural lands at 3.70 and 1.45 t ha⁻¹ year⁻¹ for yearly crops and paddy rice respectively. The topographic factor (LS) is most influential to soil erosion rate in different location followed subsequently by the practice support factor (P), soil erodibility factor (K), cropping management (C), and the rainfall erosivity factor (R). The study also pointed out that the combination of available data sources to USLE and GIS technology is a viable option to calculate soil erosion in Central Vietnam. Although more attention towards the solution is required to reduce the soil erosion rate in future. The result indicates that changes to the cultivated calendar and implementing intercropping are effective ways for cultivated land to prevent soil erosion. Furthermore, introducing broad leaves trees for mountainous areas in A Sap basin is the most effective practice in reducing soil erosion."],["dc.identifier.doi","10.1016/j.iswcr.2018.01.001"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/65068"],["dc.language.iso","en"],["dc.relation.issn","2095-6339"],["dc.title","Integrated universal soil loss equation (USLE) and Geographical Information System (GIS) for soil erosion estimation in A Sap basin: Central Vietnam"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","830"],["dc.bibliographiccitation.issue","2"],["dc.bibliographiccitation.journal","Global Change Biology"],["dc.bibliographiccitation.lastpage","844"],["dc.bibliographiccitation.volume","22"],["dc.contributor.author","Dulamsuren, Choimaa"],["dc.contributor.author","Klinge, Michael"],["dc.contributor.author","Degener, Jan"],["dc.contributor.author","Khishigjargal, Mookhor"],["dc.contributor.author","Chenlemuge, Tselmeg"],["dc.contributor.author","Bat-Enerel, Banzragch"],["dc.contributor.author","Yeruult, Yolk"],["dc.contributor.author","Saindovdon, Davaadorj"],["dc.contributor.author","Ganbaatar, Kherlenchimeg"],["dc.contributor.author","Tsogtbaatar, Jamsran"],["dc.contributor.author","Leuschner, Christoph"],["dc.contributor.author","Hauck, Markus"],["dc.date.accessioned","2017-11-28T10:03:29Z"],["dc.date.available","2017-11-28T10:03:29Z"],["dc.date.issued","2016"],["dc.description.abstract","The boreal forest biome represents one of the most important terrestrial carbon stores, which gave reason to intensive research on carbon stock densities. However, such an analysis does not yet exist for the southernmost Eurosiberian boreal forests in Inner Asia. Most of these forests are located in the Mongolian forest-steppe, which is largely dominated by Larix sibirica. We quantified the carbon stock density and total carbon pool of Mongolia's boreal forests and adjacent grasslands and draw conclusions on possible future change. Mean aboveground carbon stock density in the interior of L. sibirica forests was 66 Mg C ha−1, which is in the upper range of values reported from boreal forests and probably due to the comparably long growing season. The density of soil organic carbon (SOC, 108 Mg C ha−1) and total belowground carbon density (149 Mg C ha−1) are at the lower end of the range known from boreal forests, which might be the result of higher soil temperatures and a thinner permafrost layer than in the central and northern boreal forest belt. Land use effects are especially relevant at forest edges, where mean carbon stock density was 188 Mg C ha−1, compared with 215 Mg C ha−1 in the forest interior. Carbon stock density in grasslands was 144 Mg C ha−1. Analysis of satellite imagery of the highly fragmented forest area in the forest-steppe zone showed that Mongolia's total boreal forest area is currently 73 818 km2, and 22% of this area refers to forest edges (defined as the first 30 m from the edge). The total forest carbon pool of Mongolia was estimated at ~ 1.5−1.7 Pg C, a value which is likely to decrease in future with increasing deforestation and fire frequency, and global warming."],["dc.identifier.doi","10.1111/gcb.13127"],["dc.identifier.fs","617128"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/10601"],["dc.language.iso","en"],["dc.notes.status","final"],["dc.relation.eissn","1365-2486"],["dc.relation.issn","1354-1013"],["dc.title","Carbon pool densities and a first estimate of the total carbon pool in the Mongolian forest-steppe"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dc.type.peerReviewed","unknown"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","143"],["dc.bibliographiccitation.lastpage","189"],["dc.bibliographiccitation.volume","17"],["dc.contributor.author","Kappas, Martin"],["dc.contributor.author","Degener, Jan F."],["dc.contributor.author","Klinge, Michael"],["dc.contributor.author","Vitkovskaya, Irina"],["dc.contributor.author","Batyrbayeva, Madina"],["dc.contributor.editor","Gutman, G."],["dc.contributor.editor","Chen, J."],["dc.contributor.editor","Henebry, G."],["dc.contributor.editor","Kappas, M."],["dc.date.accessioned","2020-05-07T12:57:07Z"],["dc.date.available","2020-05-07T12:57:07Z"],["dc.date.issued","2020"],["dc.description.abstract","Given the importance of Northern Eurasia for global ecosystem and climate processes, improved characterization of land cover and land-cover change in the region is a scientific priority. Most studies on Central Asia focus on the changes in land cover and land use rather than on landscape dynamics. This chapter gives an overview of approaches and existing frameworks to describing landscape dynamics. The landscape dynamics are presented by state variables. Potential state variables are for example, NDVI, GPP, NPP, fPAR, or LAI. The progression of a state variable might fluctuate over time in response to disturbance and succession processes and fluctuate within a “natural range of change or variability”. This range of variability is also called as the “normal multiple states operating range” of a state variable. It is important to note that this range of variability is relative to a specific spatial and temporal scale. We present two case studies, one from Kazakhstan and one from Mongolia, which show different results in the course of important state variables (e.g. NDVI). The analysis of changes in vegetation indices in Kazakhstan (differential – NDVI, VCI and integral – IVI, IVCI), computed over the territory of Kazakhstan for the period 2000–2016, shows that the values of integrated indices of vegetation have an expressed tendency to decrease. While long-term NDVI trends in Mongolia, typically analyzed using AVHRR or MODIS data starting from the early 1980s, have often been described as negative, we could show that this is not true anymore in recent years. Both case studies show that Land-use change modelling is a highly dynamic field of research with many new developments. The main current developments presented in these special case studies concern progress in modelling of scale dependency of drivers of land-use / cover change."],["dc.identifier.doi","10.1007/978-3-030-30742-4_9"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/64925"],["dc.language.iso","en"],["dc.publisher","Springer"],["dc.publisher.place","Cham"],["dc.relation.eisbn","978-3-030-30742-4"],["dc.relation.isbn","978-3-030-30741-7"],["dc.relation.ispartof","Landscape Dynamics of Drylands across Greater Central Asia: People, Societies and Ecosystems"],["dc.title","A Conceptual Framework for Ecosystem Stewardship Based on Landscape Dynamics: Case Studies from Kazakhstan and Mongolia"],["dc.type","book_chapter"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","168"],["dc.bibliographiccitation.journal","The Science of The Total Environment"],["dc.bibliographiccitation.lastpage","178"],["dc.bibliographiccitation.volume","569"],["dc.contributor.author","Li, Yi"],["dc.contributor.author","Degener, Jan"],["dc.contributor.author","Gaudreau, Matthew"],["dc.contributor.author","Li, Yangfan"],["dc.contributor.author","Kappas, Martin"],["dc.date.accessioned","2018-11-07T10:06:50Z"],["dc.date.accessioned","2020-05-08T09:42:42Z"],["dc.date.available","2018-11-07T10:06:50Z"],["dc.date.available","2020-05-08T09:42:42Z"],["dc.date.issued","2016"],["dc.description.abstract","Resilience-based management focuses on specific attributes or drivers of complex social-ecological systems, in order to operationalize and promote guiding principles for water quality management in urban systems. We therefore propose a resilience lens drawing on the theory of adaptive capacity and adaptive cycle to evaluate the urban resilience between water quality and land use type. Our findings show that the resilience of water quality variables, which were calculated based on their adaptive capacities, showed adaptive and sustainable trends with dramatic fluctuation. NH3-N, Cadmium and Total Phosphorus experienced the most vulnerable shifts in the built-up area, agricultural areas, and on bare land. Our framework provided a consistent and repeatable approach to address uncertainty inherent in the resilience of water quality in different landscapes, as well as an approach to monitor variables over time with respect to national water quality standards. Ultimately, we pointed to the political underpinnings for risk mitigation and managing resilient urban systemin a particular coastal urban setting. (C) 2016 Elsevier B.V. All rights reserved."],["dc.identifier.doi","10.1016/j.scitotenv.2016.06.110"],["dc.identifier.isi","000382269000019"],["dc.identifier.pmid","27341117"],["dc.identifier.scopus","2-s2.0-84975698796"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/64962"],["dc.identifier.url","http://www.scopus.com/inward/record.url?eid=2-s2.0-84975698796&partnerID=MN8TOARS"],["dc.language.iso","en"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.relation.eissn","0048-9697"],["dc.relation.issn","1879-1026"],["dc.title","Adaptive capacity based water quality resilience transformation and policy implications in rapidly urbanizing landscapes"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","1038"],["dc.bibliographiccitation.issue","5"],["dc.bibliographiccitation.journal","Hydrology Research"],["dc.bibliographiccitation.lastpage","1052"],["dc.bibliographiccitation.volume","47"],["dc.contributor.author","Nguyen, Hong Quang"],["dc.contributor.author","Degener, Jan F."],["dc.contributor.author","Kappas, Martin"],["dc.date.accessioned","2018-11-07T10:19:56Z"],["dc.date.accessioned","2020-05-08T10:24:51Z"],["dc.date.available","2018-11-07T10:19:56Z"],["dc.date.available","2020-05-08T10:24:51Z"],["dc.date.issued","2016"],["dc.description.abstract","Flash flooding (FF) in Vietnam has become an important issue due to increasing loss of property and life. This paper investigates FF prediction using the Kinematic Run-off and Erosion model to perform comprehensive analyses to: (1) evaluate the role of initial soil moisture (0) conditions using the Bridging Event and Continuous Hydrological model; (2) model the discharge (Q) using different rainfall inputs; (3) test the sensitivities of the model toe and Manning's n coefficient (N) on Q and validate the model; and (4) predict channel discharge (Q(c)) using forecasted rainfall. A relative saturation index (R) of 0.46 and N of 0.14 produced the best match of the simulated outflow to measured Q, while the saturated hydraulic conductivity (Ksat) and R had significant effects on the magnitude of flooding. The parameter N had remarkable influences on the volume of flow and its peak time. Surprisingly, the use of radar rainfall data underestimated Q compared to the measured discharge and estimates using satellite rainfall. We conclude that the KINEROS2 model is well equipped to predict FF events in the study area and is therefore suitable as an early warning system when combined with weather forecasts. However, uncertainties grow when the forecasted period expands further into the future."],["dc.identifier.doi","10.2166/nh.2015.125"],["dc.identifier.isi","000385992900010"],["dc.identifier.scopus","2-s2.0-84996523746"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/41772"],["dc.identifier.url","http://www.scopus.com/inward/record.url?eid=2-s2.0-84996523746&partnerID=MN8TOARS"],["dc.language.iso","en"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.relation.eissn","2224-7955"],["dc.relation.issn","0029-1277"],["dc.title","Flash flooding prediction in regions of northern Vietnam using the KINEROS2 model"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dspace.entity.type","Publication"]]