Trip Report on Assistance to Mongolian Ministry for Nature and Environment for the Control of Forest Defoliators
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Health Guidelines Vegetation Fire Events
HEALTH GUIDELINES FOR VEGETATION FIRE EVENTS Background papers Edited by Kee-Tai Goh Dietrich Schwela Johann G. Goldammer Orman Simpson © World Health Organization, 1999 CONTENTS Preface and acknowledgements Early warning systems for the prediction of an appropriate response to wildfires and related environmental hazards by J.G. Goldammer Smoke from wildland fires, by D E Ward Analytical methods for monitoring smokes and aerosols from forest fires: Review, summary and interpretation of use of data by health agencies in emergency response planning, by W B Grant The role of the atmosphere in fire occurrence and the dispersion of fire products, by M Garstang Forest fire emissions dispersion modelling for emergency response planning: determination of critical model inputs and processes, by N J Tapper and G D Hess Approaches to monitoring of air pollutants and evaluation of health impacts produced by biomass burning, by J P Pinto and L D Grant Health impacts of biomass air pollution, by M Brauer A review of factors affecting the human health impacts of air pollutants from forest fires, by J Malilay Guidance on methodology for assessment of forest fire induced health effects, by D M Mannino Gaseous and particulate emissions released to the atmosphere from vegetation fires, by J S Levine Basic fact-determining downwind exposures and their associated health effects, assessment of health effects in practice: a case study in the 1997 forest fires in Indonesia, by O Kunii Smoke episodes and assessment of health impacts related to haze from forest -
Boreal Forests from a Climate Perspective Roger Olsson
AIR POLLUTION AND CLIMATE SERIES 26 To Manage or Protect? Boreal Forests from a Climate Perspective Roger Olsson 1 Air Pollution & Climate Secretariat AIR POLLUTION AND CLIMATE SERIES 26 To Manage or Protect? - Boreal Forests from a Climate Perspective By Roger Olsson About the author Roger Olsson is a Swedish journalist and science writer. He has for many years worked as an expert for environment NGOs and other institutions and has published several books on, among other things, forest management and bio- diversity. The study was supervised by a working group consisting of Peter Roberntz and Lovisa Hagberg from World Wide Fund for Nature (WWF), Sweden, Svante Axelsson and Jonas Rudberg from the Swedish Society for Nature Conservation and Reinhold Pape from AirClim. Many thanks also to a number of forest and climate experts who commented on drafts of the study. Cover illustration: Lars-Erik Håkansson (Lehån). Graphics and layout: Roger Olsson Translation: Malcolm Berry, Seven G Translations, UK ISBN: 91-975883-8-5 ISSN: 1400-4909 Published in September 2011 by the Air Pollution & Climate Secretariat (Rein- hold Pape). Address: AirClim, Box 7005, 402 31 Göteborg, Sweden. Phone: +46 (0)31 711 45 15. Website: www.airclim.org. The Secretariat is a joint project by Friends of the Earth Sweden, Nature and Youth Sweden, the Swedish Society for Nature Conservation and the World Wide Fund for Nature (WWF) Sweden. Further copies can be obtained free of charge from the publisher, address as above.The report is also available in pdf format at www.airclim.org. The views expressed here are those of the author and not necessarily those of the publisher. -
Inventory and Review of Quantitative Models for Spread of Plant Pests for Use in Pest Risk Assessment for the EU Territory1
EFSA supporting publication 2015:EN-795 EXTERNAL SCIENTIFIC REPORT Inventory and review of quantitative models for spread of plant pests for use in pest risk assessment for the EU territory1 NERC Centre for Ecology and Hydrology 2 Maclean Building, Benson Lane, Crowmarsh Gifford, Wallingford, OX10 8BB, UK ABSTRACT This report considers the prospects for increasing the use of quantitative models for plant pest spread and dispersal in EFSA Plant Health risk assessments. The agreed major aims were to provide an overview of current modelling approaches and their strengths and weaknesses for risk assessment, and to develop and test a system for risk assessors to select appropriate models for application. First, we conducted an extensive literature review, based on protocols developed for systematic reviews. The review located 468 models for plant pest spread and dispersal and these were entered into a searchable and secure Electronic Model Inventory database. A cluster analysis on how these models were formulated allowed us to identify eight distinct major modelling strategies that were differentiated by the types of pests they were used for and the ways in which they were parameterised and analysed. These strategies varied in their strengths and weaknesses, meaning that no single approach was the most useful for all elements of risk assessment. Therefore we developed a Decision Support Scheme (DSS) to guide model selection. The DSS identifies the most appropriate strategies by weighing up the goals of risk assessment and constraints imposed by lack of data or expertise. Searching and filtering the Electronic Model Inventory then allows the assessor to locate specific models within those strategies that can be applied. -
Mapping Land Cover and Insect Outbreaks at Test Sites in East Siberia
Mapping land cover and insect outbreaks at test sites in East Siberia V.I. Kharuk V. N. Sukachev Institute of Forest, Krasnoyarsk, Russia Insect outbreaks are one of the primary factors of Siberian forests dynamics, determining species composition and carbon balance. This table lists the main insect species which caused outbreaks in Siberian taiga Insect species Main food source tree species Max. outbreak area, thousand hectares 1. Dendrolimus superans sibiricus Tschetw.* fir, pine, larch, spruce > 1000 2. Lymantria dispar* larch, broadleaf 300 3. Orgyia antiqua larch, birch 40 4. Dasychira abietis spruce, fir, pine, larch 1000 5. Leucoma salicis* aspen, willow 100 6. Lymantria monacha* pine, spruce 5 7. Ectropis bistortata* spruce 400 8. Bupalus piniarius* pine 50 9. Semiothisa signaria* spruce, fir 10 10. Simiothisa continuaria larch 5 11. Erranis jacobsoni* larch 50 12. Biston betularius birch 50 13. Phalera bucephala birch 50 14. Clostera anastomosis* aspen, willow 10 15. Zeiraphera rufimitrana fir 100 16. Coleophera dahurica larch 100 17. Zeiraphera griseana larch >1000 The most dangerous species is the Siberian silkmoth (Dendrolimus superans sibiricus Tschetw.). This insect causes forest damage and mortality up to >1 mln ha per outbreak The map of actual and potential Siberian silkmoth food base Outbreak areas: 1 (yellow line) – of 1950s; 2 (red line) - of 1990s, 3 (black circle) - of 21st century; The temporal trend in outbreak periodicity is observing: 25 yr, 25yr, 12 yr, and 8 yr. Solid line: northern limit of outbreak zone. Under the impact of climate change this border will shift northward. Secondary pests (bark beetles) attacked stands weakened by Siberian silkmoth Insect-killed stands becomes a “firewood” for the periodic follow-on fires The catastrophic scale of outbreaks requires adequate methods of detection and mapping. -
Biosecurity Risk Assessment
An Invasive Risk Assessment Framework for New Animal and Plant-based Production Industries RIRDC Publication No. 11/141 RIRDCInnovation for rural Australia An Invasive Risk Assessment Framework for New Animal and Plant-based Production Industries by Dr Robert C Keogh February 2012 RIRDC Publication No. 11/141 RIRDC Project No. PRJ-007347 © 2012 Rural Industries Research and Development Corporation. All rights reserved. ISBN 978-1-74254-320-8 ISSN 1440-6845 An Invasive Risk Assessment Framework for New Animal and Plant-based Production Industries Publication No. 11/141 Project No. PRJ-007347 The information contained in this publication is intended for general use to assist public knowledge and discussion and to help improve the development of sustainable regions. You must not rely on any information contained in this publication without taking specialist advice relevant to your particular circumstances. While reasonable care has been taken in preparing this publication to ensure that information is true and correct, the Commonwealth of Australia gives no assurance as to the accuracy of any information in this publication. The Commonwealth of Australia, the Rural Industries Research and Development Corporation (RIRDC), the authors or contributors expressly disclaim, to the maximum extent permitted by law, all responsibility and liability to any person, arising directly or indirectly from any act or omission, or for any consequences of any such act or omission, made in reliance on the contents of this publication, whether or not caused by any negligence on the part of the Commonwealth of Australia, RIRDC, the authors or contributors. The Commonwealth of Australia does not necessarily endorse the views in this publication. -
Development, Calibration and Application of a 3-D Individual-Based Gap Model for Improved Characterization of Eurasian Boreal Fo
DEVELOPMENT, CALIBRATION AND APPLICATION OF A 3-D INDIVIDUAL-BASED GAP MODEL FOR IMPROVED CHARACTERIZATION OF EURASIAN BOREAL FORESTS IN RESPONSE TO HISTORICAL AND FUTURE CHANGES IN CLIMATE KSENIA BRAZHNIK CHARLOTTESVILLE,VIRGINIA B.A. CHEMISTRY,VIRGINIA POLYTECHNIC INSTITUTE AND STATE UNIVERSITY, 2002 ADISSERTATION PRESENTED TO THE GRADUATE FACULTY OF THE UNIVERSITY OF VIRGINIA IN CANDIDACY FOR THE DEGREE OF DOCTOR OF PHILOSOPHY DEPARTMENT OF ENVIRONMENTAL SCIENCES UNIVERSITY OF VIRGINIA DECEMBER, 2015 Abstract Climate change is altering forests globally, some in ways that may promote further warming at the regional and even continental scales. The dynamics of complex systems that occupy large spatial domains and change on the order of decades to centuries, such as forests, do not lend themselves easily to direct observation. A simulation model is often an appropriate and attainable approach toward understanding the inner workings of forest ecosystems, and how they may change with imposed perturbations. A new spatially-explicit model SIBBORK has been developed to understand how the Siberian boreal forests may respond to near-future climate change. The predictive capabilities of SIBBORK are enhanced with 3-dimensional representation of terrain and associated environmental gradients, and a 3-D light ray-tracing subroutine. SIBBORK’s outputs are easily converted to georeferenced maps of forest structure and species composition. SIBBORK has been calibrated using forestry yield tables and validated against multiple independent multi- dimensional timeseries datasets from southern, middle, and northern taiga ecotones in central Siberia, including the southern and northern boundaries of the boreal forest. Model applications simulating the vegetation response to cli- mate change revealed significant and irreversible changes in forest structure and composition, which are likely to be reached by mid-21st century. -
Hylobius Abietis
On the cover: Stand of eastern white pine (Pinus strobus) in Ottawa National Forest, Michigan. The image was modified from a photograph taken by Joseph O’Brien, USDA Forest Service. Inset: Cone from red pine (Pinus resinosa). The image was modified from a photograph taken by Paul Wray, Iowa State University. Both photographs were provided by Forestry Images (www.forestryimages.org). Edited by: R.C. Venette Northern Research Station, USDA Forest Service, St. Paul, MN The authors gratefully acknowledge partial funding provided by USDA Animal and Plant Health Inspection Service, Plant Protection and Quarantine, Center for Plant Health Science and Technology. Contributing authors E.M. Albrecht, E.E. Davis, and A.J. Walter are with the Department of Entomology, University of Minnesota, St. Paul, MN. Table of Contents Introduction......................................................................................................2 ARTHROPODS: BEETLES..................................................................................4 Chlorophorus strobilicola ...............................................................................5 Dendroctonus micans ...................................................................................11 Hylobius abietis .............................................................................................22 Hylurgops palliatus........................................................................................36 Hylurgus ligniperda .......................................................................................46 -
Risk Analysis of Mongolian Erannis Jacobsoni Djak's Invasion Into The
Risk Analysis of Mongolian Erannis Jacobsoni Djak’s Invasion into the Inner Mongolia Area Xiaojun Huang 1,2,3,4, Yuhai Bao 2, Altanchimeg D5, Buren4, Fumiao1,Yongmei1 1 College of Geographical Science,Inner Mongolia Normal University,Huhhot 010022,China 2 Key Laboratory of Remote Sensing & Geography Information System ,Inner Mongolia Normal University,Huhhot 010022,China 3 College of Earth and Environmental Sciences, Lanzhou University, Lanzhou730000,China 4 Institute of Natural disaster prevention and Control,Inner Mongolia Normal University,Huhhot 010022,China 5 Institute of Biology, Mongolian Academy of Sciences,Ulan Bator, Mongolia 蒙古国雅氏落叶松尺蠖入侵内蒙古地区的风险分析 黄晓君 1,2,3,4,包玉海 2,Altanchimeg D 5,布仁 4,付苗 1,咏梅 1 1 内蒙古师范大学地理科学学院,内蒙古 呼和浩特 010022 2 内蒙古自治区遥感与地理信息系统重点实验室,内蒙古 呼和浩特 010022 3 兰州大学资源环境学院,甘肃 兰州 730000 4 内蒙古师范大学自然灾害防治研究所,内蒙古 呼和浩特 010022 5 蒙古国科学院生物研究所,乌兰巴托 蒙古国 Abstract area of extremely high and high suitable risk areas in the Aershan city are 40380.21 hectares and 251409.34 Erannis jacobsoni Djak is the most important forest pest hectares respectively. The environmental variables that in Mongolia and has seriously destructive effect to forest have important effects on invasion risk of Erannis ecological system. It is important to study the invasion jacobsoni Djak included forest,mean temperature of risk of Inner Mongolia, which is of great significance for warmest quarter,annual precipitation, max temperature of the effective prevention of cross-border disaster. Based warmest month and min temperature of coldest month. on it, firstly, this study discussed the risk of Mongolia Erannis jacobsoni Djak spreading into Inner Mongolia; Keywords: Erannis jacobsoni Djak; Invasion risk; Then using the field survey point data of Mongolia maximum entropy(Maxent) niche model; Erannis jacobsoni Djak and environmental variables data environmental variables such as biological climatic factors, altitude, forest, predicted the potential suitable risk areas distribution of 摘要 this pest in Inner Mongolia by means of maximum entropy(Maxent) niche model and GIS technology. -
Dendrolimus Sibiricus
Federaal Agentschap voor de Veiligheid van de Voedselketen DG Controlebeleid Directie Plantenbescherming en Veiligheid van de Plantaardige Productie Dendrolimus sibiricus I. IDENTITEIT Synoniemen: Dendrolimus laricis, EU-categorie: EU-quarantaineorganisme Dendrolimus superans sibiricus (Bijlage II, deel A van Verordening (EU) Gangbare namen: Siberische zijdemot 2019/2072); Prioritair quarantaineorganisme (NL), Papillon de soie de Sibérie (FR), (Verordening (EU) 2019/1702) Siberian Silk Moth SSM (EN) EPPO-code: DENDSI Taxonomische classificatie: Niet te verwarren met: Dendrolimus pini Insecta: Lepidoptera: Lasiocampidae (dennenspinner) verspreid in Europa II. BESCHRIJVING VAN HET ORGANISME EN GEOGRAFISCHE VERSPREIDING Dendrolimus sibiricus is een quarantaineorganisme in de Europese Unie (EU) dat werd geïdentificeerd als een absolute prioriteit omwille van de economische, ecologische en sociale schade die dit organisme kan veroorzaken als het wordt binnengebracht op het grondgebied van de EU. Deze mot houdt in het bijzonder een risico in voor alle soorten naaldbomen. Het is een insect dat ontbladert en voorkomt in Siberië en Noord-Azië (Kazachstan, Mongolië, Rusland, Noordoost- China, Noord-Korea). In 2001 zijn haarden gevonden in het Europese deel van Rusland, ten westen van de Oeral. Aanwezigheid van D. sibiricus is momenteel niet bekend op het grondgebied van de EU. De levenscyclus van D. sibiricus duurt tussen 1 en 3 jaar, afhankelijk van het klimaat, en verloopt via 6 tot 8 larvale stadia over heel het jaar. Gezien de complexe biologie van deze soort en de manier waarop ze reageert op klimaatomstandigheden, kan geen enkele EU-regio met zekerheid worden uitgesloten wat potentiële introductie en verspreiding van D. sibiricus betreft. Het potentiële verspreidingsgebied binnen de EU wordt aanzien als het gebied waar haar waardplanten worden geteeld. -
© Амурский Зоологический Журнал II(4), 2010. 303-321 © Amurian
© Амурский зоологический журнал II(4), 2010. 303-321 УДК 595.785 © Amurian zoological journal II(4), 2010. 303-321 ПЯДЕНИЦЫ (INSECTA, LEPIDOPTERA: GEOMETRIDAE) БОЛЬШЕХЕХЦИРСКОГО ЗАПОВЕДНИ- КА (ОКРЕСТНОСТИ ХАБАРОВСКА) Е.А. Беляев1, С.В. Василенко2, В.В. Дубатолов2, А.М. Долгих3 [Belyaev E.A., Vasilenko S.V., Dubatolov V.V., Dolgikh A.M. Geometer moths (Insecta, Lepidoptera: Geometridae) of the Bolshekhekhtsirskii Nature Reserve (Khabarovsk suburbs)] 1Биолого-почвенный институт ДВО РАН, пр. Сто лет Владивостоку, 159, Владивосток, 690022, Россия. E-mail: beljaev@ibss. dvo.ru 1Institute of Biology and Soil Science, Far Eastern Branch of Russian Academy of Sciences, Prospect 100 Let Vladivostoku, 159, Vladivostok, 690022, Russia. E-mail: [email protected]. 2Сибирский зоологический музей, Институт систематики и экологии животных СО РАН, ул. Фрунзе 11, Новосибирск, 630091, Россия. E-mail: [email protected]. 2Siberian Zoological Museum, Institute of Systematics and Ecology of Animals, Siberian Branch of Russian Academy of Sciences, Frunze str. 11, Novosibirsk, 630091, Russia. E-mail: [email protected]. 3Большехехцирский заповедник, ул. Юбилейная 8, пос. Бычиха, Хабаровский район, Хабаровский край, 680502, Россия. E-mail: [email protected]. 3Nature Reserve Bolshekhekhtsyrskii, Yubileinaya street 8, Bychikha, Khabarovsk District, Khabarovskii Krai, 680502, Russia. E-mail: [email protected]. Ключевые слова: Пяденицы,Geometridae, Большехехцирский заповедник, Хехцир, Хабаровск Key words: Geometer moths,Geometridae, Khekhtsyr, Khabarovsk, Russian Far East Резюме. Приводится 328 видов семейства Geometridae, собранных в Большехехцирском заповеднике. Среди них 34 вида впер- вые указаны для территории Хабаровского края. Summary. 328 Geometridae species were collected in the Bolshekhekhtsirskii Nature Reserve, 34 of them are recorded from Khabarovskii Krai for the first time. Большехехцирский заповедник, организованный в вершинным склонам среднегорья. -
Pest Risk Analysis Lignes Directrices Pour L'analyse Du Risque Phytosanitaire
07-13662 FORMAT FOR A PRA RECORD (version 3 of the Decision support scheme for PRA for quarantine pests) European and Mediterranean Plant Protection Organisation Organisation Européenne et Méditerranéenne pour la Protection des Plantes Guidelines on Pest Risk Analysis Lignes directrices pour l'analyse du risque phytosanitaire Decision-support scheme for quarantine pests Version N°3 PEST RISK ANALYSIS FOR DENDROLIMUS PINI Pest risk analyst(s): Forest Research, Tree Health Division Dr Roger Moore and Dr Hugh Evans Date: 24 June 2009 (revised on 3 September and 21 October 2009) This PRA is for the UK as the PRA area. It has been developed in response to concerns arising from capture(s) of adult male moths of the pine-tree lappet moth (Dendrolimus pini) and known serious infestations of this insect in Europe. It has been carried out at the request of the Outbreak Management Team of the Forestry Commission. This PRA has been revised on 3/9/09 following pheromone and light trap surveys and again on 21/10/09 following captures of caterpillars and confirmation of a breeding population. Stage 1: Initiation 1 What is the reason for performing the This PRA was initially produced due to a suspected colonisation of Dendrolimus pini in PRA? the Scottish Highlands around Inverness. The colonisation has now been confirmed by the capture of caterpillars and pupae at a number of separate breeding sites. D. pini could cause serious defoliation of pine (Pinus) species in the area and this PRA is to determine whether the pest requires statutory action. 2 -
Rapid Assessment of Forest Protection Activities Mongolia
RAPID ASSESSMENT OF FOREST PROTECTION ACTIVITIES MONGOLIA UN-REDD Mongolia National Programme Karen Ripley, USDA Forest Service Date: June 5-19, 2017 1 APPRECIATION: I appreciate the hospitality and cooperative effort of Mongolia’s Ministry of Environment, Forest Research Development Center, diverse Research Institutions and Universities, UN-REDD and Forest Pest Control companies to introduce me to the pest situation, forest conditions, and research and insect control efforts that are underway in Mongolia. Chris Dickinson, UN-REDD Mongolia, worked effectively with the USDA Forest Service International Programs unit to establish clear objectives for this cooperative assessment and to increase communication for continuing opportunities. I appreciate the opportunity to serve. Jagdag D., Department of Forest Policy & Coordination, was generous with his time and attention to provide excellent briefing on the current situation, FRDC actions, and pest control issues facing Mongolia. He traveled to Terelj National Park, Arkhangai and Selenge provinces to view and discuss pest outbreaks and management practices. Ganzorig Batkhishig, Head of the Forest Protection, Restoration and Silviculture Department, Forest Research Development Center, also took time away busy field operations to participate in the travel and discussions, and share his insights about the pest situation, monitoring and control activities. Bilguun.O, REDD+ Governance Activity Coordinator, organized the field travel and assisted with translation and logistical supervision. He provided additional orientation to Mongolian culture and ensured my curiosity could be satisfied. He helped organize the Workshop in Ulaanbaatar and facilitated travel and communication support. Davaadorj Enkhnsasan, Research Entomologist, Institute of Biology provided a thorough introduction to their facilities and joined the field travel, collecting and observing insect monitoring processes, and eager to identify potential additional biological control agents.