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Wetland vegetation biodiversity conservation and sustainable use in Hangzhou City, China

Wetland vegetation support a high biodiversity and plays an important ecological and hydrological roles in the environment. Hangzhou city with highly significant wetland vegetation biodiversity, lies in Zhejiang province, is very famous in China. The wetland areas are 28.9x104 ha, about 17.4Prozent of total area of Hangzhou city. The types of wetland vegetation are multiplicity and the vegetation biodiversity is abundant. But with the rapid urbanization process in Hangzhou city, the decrease of wetland areas in peri-urban region constitutes a severe problem, which will eventually lead to the loss of wetland vegetation biodiversity and its functions. So it is very important to carry out a project on the research of wetland vegetation biodiversity conservation and sustainable use in Hangzhou city. Its very significant for wetland vegetation biodiversity conservation and sustainable development, improvement of peri-urban ecosystem services and life quality.The project long term goal is to secure the conservation of globally significant wetland vegetation biodiversity in China and establish wetland vegetation biodiversity conservation and sustainable use as a routine consideration in national, provincial and local government decision making and action. The objective is providing science reference for Hangzhou government supporting policy of the urban wetland vegetation biodiversity conservation and sustainable use.

Vegetation auf Gletschern - Ökosystemanalyse auf einem mobilen Standort

Auf mehreren Reisen konnte der Antragsteller eine spärliche, aber durchaus vielfältige Vegetation auf den Obermoränen (nicht Toteisfelder) verschiedener Gletscher im Karakorum, westlichen Kunlun, in den südchilenischen Anden und am Mount Rainier feststellen. Über entsprechende Pflanzenvorkommen wurden ihm aus dem nepalesischen Himalaya und vom Gongga Shan in Südchina berichtet. Die vorgesehenen Untersuchungen dienen der Erfassung von Arteninventaren und -mustern sowie der Ermittlung von Überlebensstrategien von Pflanzen und ökologischen Parametern auf den extremen Standorten. Als Arbeitsgebiete sind für mehrmonatige Untersuchungen der Mount Rainier, für einmonatige der Tronador ausgewählt; von beiden Fällen unter ozeanisch-feuchten Klimabedingungen sind recht dichte Pflanzenbestände durch eigene Begehungen bekannt. Für Studien in den monsunal-wechselfeuchten Subtropen bietet sich der Gongga Shan an, wo deutliche Feuchtigkeitskontraste zu verschieden mächtigen Blockauflagen führen. Die Arbeiten sollen im Rahmen kostengünstiger Reisen in getrennten Arbeitsgruppen erfolgen.

BIOMAPS: Kartierung der globalen Artenvielfalt der Gefaesspflanzen: Grundlage fuer den Schutz und die nachhaltige Nutzung unserer natuerlichen Ressourcen

Im Rahmen des BIOMAPS-Projekts des Botanischen Instituts Bonn und des Deutschen Fernerkundungsdatenzentrums (DFD/DLR,Koeln-Porz) sollen umfassende Analysen und Kartierungen der Artenvielfalt von Gefaesspflanzen auf globalem Massstab durchgefuehrt werden. Basis ist die 1996 von Barthlott et al publizierte Weltkarte der Artenvielfalt der Gefaesspflanzen und die ihr zugrunde liegende Datenbank, die seitdem bestaendig erweitert wurde. Schwerpunkte bilden die Weiterentwicklung der Methoden der Biodiversitaetskartierung sowie die vergleichende Betrachtung ausgewaehlter Pflanzengruppen und unterschiedlicher raeumlicher Massstaebe. Daneben spielen der Zusammenhang zwischen Biodiversitaet und Umweltfaktoren und sich eventuell daraus ergebende Moeglichkeiten des Biodiversitaets-Monitoring eine Rolle. Die resultierenden Ergebnisse sollen ueber die Grundlagenforschung hinaus Entscheidungshilfen im Naturschutzmanagement auf globaler Ebene liefern. Weitere Informationen finden sich unter http://www.botanik.uni-bonn.de/system

Workshop: 'Einsatz der Landschaftsplanung in den Anrainerstaaten des Altai zur Errichtung eines grenzüberschreitendes Biosphärenreservates Altai' in Urumqi, Volksrepublik China

Rehabilitation of Degraded Forests in Yunnan (German-Chinese Cooperation for Agrarian Research)

Background: An increasing frequency of massive flooding along the lower Yangtse River in China ended in a disastrous catastrophe in summer 1998 leaving several thousand people homeless, more than 3.600 dead and causing enormous economic damage. Inappropriate land-use techniques and large scale timber felling in the water catchment of the upper Yangtse and its feeder streams were stated to be the main causes. Immediate timber cutting bans were imposed and investigations on land use patterns were initiated by the Chinese Government. The Institute for World Forestry of the Federal Research Centre for Forestry and Forest Products was approached by the Yunnan Academy of Forestry in Kunming to exchange experiences and to cooperate scientifically in the design and application of appropriate afforestation and silvicultural management techniques in the water catchment area of the Yangtse. This cooperation was initiated in 1999 and is based on formal agreements in the fields of agrarian research between the German and Chinese Governments. Objectives: The cooperation was in the first step focussing on the identification of factors which caused the enormous floodings. After their identification measures of prevention were determined and put into practice. In this context experiences made in past centuries in the alpine region of central Europe served as an incentive and example for similar environmental problems and solutions under comparable conditions. Relevant key questions of the cooperation project were: - Analysis of forest related factors influencing the recent floodings of the Yangtse, - Analysis and evaluation of silvicultural management experiences from central Europe for know-how transfer, - Evaluation of rehabilitation measures for successful application in Yunnan, - Dissemination of knowledge through vocational training. Results: - Frequent wild grazing of husbandry is a key factor for forest degeneration beyond unsustainable timber harvests, forest fires and insect calamities leading to increased water run-off in the mountainous region of Yunnan; - Browsing of cattle interrupts succession thus avoiding natural regeneration and leaving a logging ban ineffective; - Mountain pasture in the Alps had similar effects in the past in central Europe. The introduction of controlled grazing has led to an ecologically compatible coexistence of pasture and ecology. Close-to-nature forestry can have positive effects in this sensitive environment. - Afforestation with site adopted broadleaves and coniferous tree species was implemented on demonstration level using advanced techniques in Yunnan.

Multidisciplinary investigation to reconstruct the holocene vegetation and climate history of the qilian mountains, Northwest China

Nitrogen isotope and biomarker data during Late Paleocene–early Eocene

This dataset compiles raw measurements generated to investigate perturbations of the marine nitrogen cycle during the Paleocene–Eocene Thermal Maximum (PETM). It includes abundances of isoprenoidal GDGTs (isoGDGTs) and crenarchaeol mass accumulation rates, (ii) chromatographic peak areas of bacteriohopanetetrol (BHT) and BHT-x, and (iii) the nitrogen isotopic composition of bulk sediments (bulk sediment δ¹⁵N). Samples were collected from multiple ocean basins and regions: the Central Arctic Ocean (IODP 302–M0004), East Tasman Plateau in the Southwest Pacific (ODP Site 1172), Central Northern Caucasus (Kheu River), the New Jersey Shelf/Atlantic Coastal Plain (ODP 174AX Ancora), the Côte d'Ivoire–Ghana Transform Margin in the equatorial Atlantic (ODP 959), the Southeast Newfoundland Ridge in the central North Atlantic (IODP 1403), Fur Island, Denmark (Fur Formation), and the Tarim Basin, western China (Qimugen Formation). Lipid biomarker data were obtained using liquid chromatography coupled to mass spectrometry, and bulk nitrogen isotope data were measured by elemental analysis coupled to isotope-ratio mass spectrometry.

Strong motion earthquake data values of digitized strong-motion accelerograms, 1933-1994

The Strong Motion Earthquake Data Values of Digitized Strong-Motion Accelerograms is a database of over 15,000 digitized and processed accelerograph records from 1933 to 1994. Data were obtained from a variety of structural and geologic environments. Most of the data are available in three levels of processed files. The first type of file contains raw (uncorrected) time, history data points digitized from the analog accelerogram. The second is a filtered, instrument corrected version of the time, history data. This file also contains calculated velocities and displacements obtained by the integration and double integration of the corrected accelerations. The third type of file includes the calculated Fourier and response spectra data. The data are from the United States, Algeria, Argentina, Armenia, Australia, Bulgaria, Canada, Chile, China, El Salvador, Fiji, Germany, Greece, India, Iran, Italy, Japan, Mexico, New Zealand, Nicaragua, Papua New Guinea, Peru, Portugal, Romania, Spain, Taiwan, Turkey, and Uzbekistan. This database is static and is no longer being updated. This dataset has been archived in the framework of the PANGAEA US data rescue initiative 2025.

Model Output Statistics for QINGDAO (54857)

DWD’s fully automatic MOSMIX product optimizes and interprets the forecast calculations of the NWP models ICON (DWD) and IFS (ECMWF), combines these and calculates statistically optimized weather forecasts in terms of point forecasts (PFCs). Thus, statistically corrected, updated forecasts for the next ten days are calculated for about 5400 locations around the world. Most forecasting locations are spread over Germany and Europe. MOSMIX forecasts (PFCs) include nearly all common meteorological parameters measured by weather stations. For further information please refer to: [in German: https://www.dwd.de/DE/leistungen/met_verfahren_mosmix/met_verfahren_mosmix.html ] [in English: https://www.dwd.de/EN/ourservices/met_application_mosmix/met_application_mosmix.html ]

Model Output Statistics for XINING (52866)

DWD’s fully automatic MOSMIX product optimizes and interprets the forecast calculations of the NWP models ICON (DWD) and IFS (ECMWF), combines these and calculates statistically optimized weather forecasts in terms of point forecasts (PFCs). Thus, statistically corrected, updated forecasts for the next ten days are calculated for about 5400 locations around the world. Most forecasting locations are spread over Germany and Europe. MOSMIX forecasts (PFCs) include nearly all common meteorological parameters measured by weather stations. For further information please refer to: [in German: https://www.dwd.de/DE/leistungen/met_verfahren_mosmix/met_verfahren_mosmix.html ] [in English: https://www.dwd.de/EN/ourservices/met_application_mosmix/met_application_mosmix.html ]

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