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森林生物灾害直接经济损失评估
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摘要
我国是森林生物灾害发生最严重的国家之一。从可持续经营的角度考虑,森林生物灾害经济损失评估是政府、林业生产单位、林农急需解决的一个难题。因为,生产上所采取的一切减轻森林生物灾害的措施必须要考虑其经济效益和环境效益。此外,目前世界上以国家或地区为单位研究森林生物灾害经济损失的例子尚不多见。
     本文研究了森林生物灾害的定义、分类、分级、评估理论与方法。森林生物灾害由森林中的动物、植物和微生物引起,根据我国森林生物灾害致灾因子、灾害的表征、灾害引起的结果等特点,将其分为4种类型,即,生长量和生物量损失型、木材及林产品质量降低型、非木质林产品产量减少型、树木死亡型。
     将现有文献资料与森林生物灾害统计指标相结合,得出了不同种类有害生物的损失估算模型,将这些模型与各省2002—2006年的统计数据与森林生长特点和现状相结合,修正损失估算模型,并以省(自治区、直辖市)为单元,估算出各省(自治区、直辖市)及全国每年的生物灾害损失量。主要研究结论如下:
     1、将中国的森林生物灾害定义为以生态灾害为主、生态灾害和自然灾害并存的生物灾害;首次提出了不可避免性、周期性、渐变性、累积性、可预测性、可控性等森林生物灾害原理。
     2、推导出适合不同有害生物种类、不同森林类型的森林生物灾害实物量损失和价值量损失的计算公式,为全国及各省(自治区、直辖市)的森林生物灾害评估提供了基本的工具。
     3、森林生物灾害分为4种类型
     (1)生长(物)量损失型:由于致灾因子破坏或阻碍了植物的光合作用,导致树木生长量降低。主要致灾因子有食叶害虫、部分刺吸式及危害枝梢的害虫、叶部和嫩梢病害等。
     (2)质量降低型:由于致灾因子破坏树木的木质部,使木材的材积减少、质量下降。或由于致灾因子的危害,导致林产品质量下降。主要致灾因子有蛀干害虫,部分刺吸式及危害枝梢的害虫、种实害虫、种实病害、根部害虫、枝干病害、根部病害等。
     (3)产量减少型:由于致灾因子的直接或间接危害,导致人类需要的非木质林产品减少。主要致灾因子有种实害虫、种实病害、食叶害虫、枝干病虫害等。
     (4)树木死亡型:导致整株或成片树木死亡,是最严重的灾害类型。主要致灾因子有危害韧皮部和树皮的害虫、维管束病害,部分根部害虫、蛀干害虫、枝梢害虫、枝干病害、啮齿动物等。
     4、灾害的分级
     将受灾面积、成灾面积、灾害影响范围、直接经济损失值4个指标作为森林生物灾害损失定量评估的绝对指标,以成灾面积占森林总面积的比值、直接经济损失占(当地)GDP的比值作为森林生物灾害损失定量评估的相对指标。根据全国森林生物灾害实际发生的历史数据和简便性原则,将灾害等级分为4级:巨灾、大灾、中灾、微灾。巨灾的标准为年受灾和成灾面积10万hm~2以上,直接经济损失亿元人民币以上,全国范围危害;年受灾和成灾面积1~10万hm~2,直接经济损失1000万元以上,影响区域或流域的属于大灾;年受灾和成灾面积0.1~1 hm~2,直接经济损失100~1 000万元,在各省范围内危害的,属于中灾;微灾指年受灾和成灾面积小于1 000 hm~2,直接经济损失小于100万元,局部危害的灾害。
     5、全国森林生物灾害直接经济损失评估结果
     (1)2002—2006年我国森林生物灾害(不包括西藏自治区、台湾省、香港特别行政区、澳门特别行政区的数据)年受灾面积平均为950万hm~2,占全国林业用地面积的3%,年成灾面积平均为400万hm~2,成灾率42.57%;年材积损失量平均为2 200万m~3,占全国活立木蓄积量的0.1%;非木质林产品平均年产量损失为89万t;木材、竹材、非木质林产品年价值损失量达329亿元人民币。
     (2)松毛虫年平均年受灾面积为130万hm~2,占森林生物灾害总受灾面积的13.2%,年成灾面积平均为490万hm~2,占森林生物灾害总成灾面积的12.2%,年材积损失量平均为207万m~3,占森林生物灾害总损失量的9%左右,年松脂产量损失平均为73t,其材积和松脂总价值损失量占森林生物灾害价值损失量的3 %左右。杨树蛀干害虫和食叶害虫的年受灾面积占森林生物灾害总面积的8%~12%,价值损失量占森林生物灾害总损失量的1%左右。
China is one of the countries bearing the most forest bio-disaster damages and losses in the world. From forest sustainable management view, the results of economic losses evaluation is urgently desired by farmers, forest managers and governments at different level, for they need to balance control costs and economic impacts of the disaster. They also need to know if their control measurements can have non-harmful impact on environment. Up to now, there are little research data for estimating economic losses of forest bio-disaster at nation or region level.
     In this paper, the definition, classification, rank, evaluation theory and methods for forest bio-disaster were studied. Forest bio-disaster is caused by animals, plants and microorganisms in forests. It was classified as 4 types according to the causes, symptomatology and the disaster performance. The direct economic losses mainly include live tree growth deduction, timber volume losses and grade decline, non-wood products losses and grade decline. Calculating equations and formulations for estimating forest bio-disaster were deduced by the combination of China forest pest statistic criteria and loss assessment data of different single forest pest, emending with pest statistic data, forest growth data and non-wood forest products data during 2002-2006 in different provinces. The main results of this paper were showed as follows:
     The essence of China’s forest bio-disaster The forest biodisaster in China is a kind of ecological disaster mixed with natural elements. Irrational management of forest is the main cause of the disaster. Forest bio-disaster theory was put forward such as inevitability, periodicity, non-paroxysmic, accumulative, predictible and controllable.
     Calculating for the loss of forest biodisaster 62 sets of calculating equations and formulations for estimating losses of forest bio-disaster were deduced which will provide tools for China every provinces.
     Forest bio-disaster were classified as 4 typesⅰ)Forest growth deduction. The causes of the disaster, including defoliators, scales and aphids, shoot damagers, foliage and shoot diseases pathogen, blocked or destroyed photosynthesis of the plants.ⅱ)Timber grade declined. The causes of the disaster, including borers, scales and aphids, root damagers, trunk and root diseases, destroyed the xylem of the plants.ⅲ)Non-wood forest products losses. The causes of the disaster, including tree seed and cone pests, diseases and insect pests damaging economic forests, destroyed seed and cones as well as economic forests.ⅳ)Tree death. The causes of the disaster, including bark and phloem damagers, root diseases and insect pests, tree borers, trunk diseases,vascular damagers and rodents, gave rise to the collapse of a tree or forest.
     Forest bio-disaster rank Forest bio-disaster can be ranked as 4 grades—gigantic disaster, great disaster, medium disaster and little disaster by 4 kinds of absolute criteria and 2 kinds of relative criteria. The absolute criteria include infested areas, damaged areas, incidence and direct economic losses. The relative criteria are the ratio of the damaged areas to forest areas and the direct economic losses to GDP in the occurred region. Gigantic disaster means that the annually infested and damaged areass exceed 100 thousand hectares, the direct economic losses more than RMB 100 million Yuan and the incidence relating to the whole country. Great disaster indicates that the annually infested and damaged areas between 10-100 thousand hectares, the direct economic losses between RMB10-100 million Yuan and the incidence relating to more than one drainage areass or cross provinces. The infested and damaged areas, the direct economic losses and the incidence for medium disaster was defined as 1-10 thousand hectares, RMB 1-10 million Yuan annually and within a province, respectively. Little disaster was that the annually affected and damaged areas no more than 1000 hectares, loss less than RMB 1 million Yuan and the incidence at local level.
     The results of the estimationⅰ)The infested areas of forest bio-disaster during 2002-2006 (not include Tibet, Taiwan, Hongkong, Makao data ) was 9.5 million hectares per year, occupied 3% of the total forest areas in China. The damaged areas occurred 4 million hectares annually and the damage ratio was 42.57%. The average timber volume loss was 22 million cubic meters per year, occupied 0.1% of living forest stand volumes in China. The annually non-wood forest products losses was 890 million kg and the total loss values of timber, bamboo and non-wood forest products was RMB 32.9 billion Yuan.ⅱ)The infested areas of pine caterpillars was 1.3 million hectares, occupied 12.3% that of the total forest bio-disaster infested areass. The average timber volume loss was 2070 thousand cubic meters per year, occupied 9% of the total timber losses of forest bio-disaster in China. The annually resin harvest loss was 73 thousand kg and the total loss values of timber and resin was 3 % of the total loss values caused by forest bio-disaster in China. The infested and damaged areas of poplar defoliators and borers were in the range of 8%-12% that of the total forest bio-disasters in China, but the economic value losses is only 1% of the total.
引文
[1]中国可持续发展林业战略研究项目组.中国可持续发展林业战略研究·战略卷.北京:中国林业出版社,2003
    [2]金子史朗.世界大灾害.济南:山东科学技术出版社,1981
    [3]Kunreuther, Howard & E. S. Fiore. The Alaska Earthquake: A Case Study in the Economics of Disaster
    [4]张显东,梅广清.西方灾害经济学研究的历史回顾.灾害学.1998,4:81~87
    [5]张保法.经济计量学.北京:经济科学出版社,2006
    [6]Schenck C.A. 1909.Forest protection. John Wiley & Sons. New York.
    [7]Chapman, Herman H. 1915. Forest Valuation. John Wiley & Sons. New York. 310p.
    [8]Brown, W. R. 1926. Standing timber insurance. Jour. Forestry 24: 243~249
    [9]Yatagai, M. 1933. History and present status of forest fire insurance in Japan. Journal of Foresty. 31(1):79-84
    [10]Shepard, H.B. 1937. Fire insurance for forests. Journal of Land & Public Utility Economics. 13(2):111-115
    [11]Miller, J. M., and J. E. Patterson. 1927. Preliminary studies on the relation of fire injury to bark-beetle attack in western yellw pine. Jour. Agr. Research 34:597-613
    [12]Meinecke,E.P. 1928. The evaluation of loss from killing diseases in the young forest. Jour. Forestry 26:283-298
    [13]Chester, K. Starr. 1950. Plant disease losses: Their appraisal and interpretation. Pl. Dis. Reptr. Suppl. 193. 190-362
    [14]Baxter V. Dow. 1952. Pathology in Forest Practice. John Wiley & Sons, Inc., New York.601p
    [15]Wright, W. D.,R. D. Hughes, and J.Worral. 1960. The effect of certain predators on the numbers of cabbage root fly (Erioischia brassicae(Bouche) )and on the subsequent damage caused by the pest. Ibid.48:756-763
    [16] Moschos, T.2005.Yield loss quantification and assessment of economic injury level for the anthophagous generation of the European grapevine moth Lobesia botrana Den. et Schiff. (Lepidoptera: Tortricidae). International Journal of Pest Management. 51(2):19-23.
    [17]Benson, D. M., Jones, R. K., and Barker, K. R. 1982. Disease loss assessment for azalea, rhododendron, and Japanese holly in North Carolina nurseries. Plant Disease 66:125~128.
    [18]Cole, Walter E.McGregor, Mark D. 1983.Estimating the rate and amount of tree loss from mountain pine beetle infestations. Res. Pap. INT-318. Ogden, UT: US Department of Agriculture, Forest Service, Intermountain Forest and Range Experiment Station. 22p
    [19]Cooperative State Research Service, FS, USDA. 1984. A guide to economic evaluation of spruce budworm management opportunities in the East. Agriculture Handbook No.527—Spruce Budworms Handbook
    [20]Carroll, M.R. Albers, M.A. Campbell, J. 1985. Spruce budworm in Minnesota: loss assessment, current conditions and management options. USDA Forest Service General Technical Report No.99 p. 55-58
    [21]Gansner, A. D. & O. W. Herrick. 1987. Predicting the rate of change in timber value for forest stands infested with gypsy moth. Research Note NE-311.USDA Forest Service. Northeastern Forest Experiment Station
    [22]Austara, Y. Orlund, A. Svendsrud, A et al. 1987. Growth loss and economic consequences following two years defoliation of Pinus sylvestris by the pine sawfly Neodiprion sertifer in West-Norway. Scand. J. For. Res. 2:111-119
    [23]Liebhold, A.M. Elkinton, J.S. Miller, D.R. et al. 1988. Estimating oak areas index and gypsy moth, Lymantria dispar(L.)(Lepidoptera: Lymantriidae), defoliation using canopy photographs. Environ. Entomol. 17(3):560-566
    [24]Singh,G.1991.Loss assessment, ecology and management of mango fruitfly, Dacus sp. Acta Horticulturae. No.291: 425-536.
    [25]Reynolds, K.M. & Holsten, E.H. Classification of spruce beetle hazard in Lutz spruce (Picea×lutzii) stands on the Kenai Peninsula, Alaska. Can.J.For.Res. 24:1015-1021
    [26]Dobesberger, E.J. 1998. Stochastic simulation of growth loss in thinned balsam fir stands defoliated by the spruce budworm in Newfoundland. Can. J. For. Res. 28:703-710
    [27]Erdle, T.A. & MacLean, D.A. 1999. Stand growth model calibration for use in forest pest impact assessment. The Forestry Chronicle. 75(1):141-152
    [28]Hughes,G.1999. Sampling for decision making in crop loss assessment and pest management: introduction. Phytopathology. 89 (11):1080-1083.
    [29]Conway, B.E. Leefers, L.A. McCullough, D.G. 1999. Yield and financial losses associated with a jack pine budworm outbreak in Michigan and the implications for management. Can. J. For. Res. 29: 382-392
    [30]Octavto A. Ramirez & Joseph.L. Saunders.1999. Estimation economic thresholds for pest control:an alternative procedure. J. Econ. Entomol. 92(2):391-401
    [31]Shore, T.L. & Lemieux J.P. 2000. Susceptibility of lodgepole pine stands to the mountain pine beetle: testing of a rating system. Can.J.For.Res. 30:44-49
    [32]Siebert, J. B. 2001. Economic Impact of Pierce’s Disease on California Grape Industry. Pierce’s Disease Research Symposium. Dec. 5-7, San Diego, CA.
    [33]MacLean, D.A. Beaton, K.P. Porter, K.B.et al. 2002. Potential wood supply losses to spruce budworm in New Brunswick estimated using the spruce budworm decision support system. The Forestry Chronicle. 78(5):739-750
    [34]Mullen, B.F. Shelton, H.M. 2003. Psyllid resistance in Leucaena. Part 2. quantification of production losses from psyllid damage. Agr. Sys. 58:163-171
    [35]Langstrom, B. Hellqvist C. & Cedervind J.2004. Comparison of methods for estimation of needle losses in scots pine following defoliation by Bupalus piniaria.Silva Fennica 38(1):15-27
    [36]MacKinnon, W.E. MacLean D.A. 2004. Effects of surrounding forest and site conditions on growth reduction of balsam fir and spruce caused by spruce budworm defoliation. Can. J. For. Res. 34: 2351-2362
    [37]Wagner, M.R. & Chen, Z. 2004. Long-term benefits to the growth of ponderosa pines from controlling southwestern pine tip moth (Lepidoptera: Tortricidae) and weeds. J. Econ. Entomol. 97(6):1972-1977
    [38]Marty, R.1966. Economic Guides for blister-rust control in the East. U.S Forest Service Research Paper NE-45.p1-14
    [39]李永善.灾害系统与灾害学探讨.灾害学.1896,1:7~11
    [40]杜一.灾害与灾害经济学.北京:中国城市经济社会出版社, 1988
    [41]曾维华,程声通.环境灾害学引论.北京:中国环境科学出版社,2000
    [42]蒋维.特大火灾概况及其预防对策.中国减灾.1992,2(2):44~47
    [43]申曙光,灾害学.北京:中国农业出版社,1994
    [44]郭强,陈兴民,等.灾害大百科.太原:山西人民出版社,1996
    [45]Schumm, S. A. Erroneous perceptions of fluvial hazards. Geomorphology.1994, 10:129~138
    [46]郑功成.中国灾情论.长沙:湖南出版社,1994
    [47]杜一,李周.灾害经济学的探索.学术研究.1987, 2:18~19
    [48]徐志鸿.关于建立灾害经济学的若干探讨.灾害学.1987,3:6~9
    [49]高岚.森林灾害经济与对策研究.北京:中国林业出版社,2003
    [50]赵阿兴,马宗晋.自然灾害损失评估指标体系的研究.自然灾害学报.1993,2(3):1~7
    [51]于庆东,沈荣芳.灾害经济损失评估理论与方法探讨.灾害学.1996,11(2):10~14.
    [52]许飞琼.灾害统计学.长沙:湖南出版社,1997
    [53]孙绍骋.灾害评估研究内容与方法探讨.地理科学进展.2001,20(2):122~130
    [54]段正梁,张维然.地面沉降灾害经济损失评估理论体系研究.自然灾害学报. 2002, 11(3): 95~102
    [55]王立杰,韩小乾.事故经济损失评估理论与方法研究.中国安全科学学报.2002,12(1):73~78
    [56]魏庆朝,张庆珩.灾害损失及灾害等级的确定.灾害学.1996,11(1):1~5
    [57]严立冬.论灾害损失的经济补偿.生态经济.1997,2:34~37
    [58]傅湘,纪昌明.洪灾损失评估指标的研究.水科学进展.2000,11(4):432-435
    [59]冯民权,周孝德,张广根.洪灾损失评估的研究进展.西北水资源与水工程.2002,13(1):32~36
    [60]徐嵩龄,中国生态资源破坏的经济损失:1985年与1993年.生态经济.1997,4:1~11
    [61]徐嵩龄.灾害经济损失概念及产业关联型间接经济损失计量.自然灾害学报.1998,7(4): 7~15
    [62]田劲松.自然灾害损失评估的理论与实证研究.武汉水利电力学院.2000
    [63]张梁,张业成等.地质灾害灾情评估理论与实践.北京:地质出版社,1998
    [64]任鲁川.灾害损失定量评估的模糊综合评判方法.灾害学.1996,11(4):5~10
    [65]杜鹏,李世奎.农业气象灾害风险分析初探.地理学报.1998,53(3):202~207
    [66]高肖检,周诚,刘孝麟等.浙江省灾害预防与经济协调发展的系统动态学模型.自然灾害学报.1994,3:56~61
    [67]张显政,黄正龙,黎前良等.杨扇舟蛾防治指标研究.中南林学院学报.1993,13(2):158~163
    [68]陈永学,张希堂,周凤忱等.杨树五种食叶害虫危害指标研究.森林病虫通讯.1990,1:17~20
    [69]张军灵,王小纪,杨大宏等.杨小舟蛾防治指标研究.陕西林业科技.1999,4:4~6
    [70]张山林,青杨叶锈病损失量估计研究.甘肃林业科技.1990,2:29~33
    [71]景耀,张星耀,候文智.箭杆杨溃疡病经济阈值的研究.森林病虫通讯.1990,3:1~3
    [72]田丰,毕湘虹,申国涛等,两年一代落叶松毛虫的预测预报技术及防治指标的研究.林业科学研究.1998,11(4):388~395
    [73]张润生,田丰,陆文敏等.落叶松毛虫防治指标的研究.林业科技.1993,18(4):23~25
    [74]申富勇,裴海潮,孙强等.不同径阶杨树杨扇舟蛾防治指标研究.中国森林病虫.2004,23(6):20~22
    [75]张树林,李树奇,殷连永.赤松毛虫种群变动规律及防治指标的研究.河北林学院学报.1992,7(2):143~147
    [76]杨占山,李连锁.油松飞播林油松毛虫防治指标的初步研究.河北林业科技. 1994, 1: 22~24
    [77]陈桃源,马尾松毛虫防治指标的初步研究.林业科学.1985,21(2):210~215
    [78]葛庆杰,关励巧,李周直等.马尾松毛虫防治指标的研究.南京林业大学学报. 1988, 3: 94~100
    [79]黄元保,李伯瑾,金健康.丘陵区马尾松毛虫防治指标的研究.湖南林业科技. 1992, 19(4):16~21
    [80]奚福生,庞联东,孙明雅等.马尾松用材林3-4代类型区松毛虫防治指标的研究.广西林业科技.1993,22(2):41~53
    [81]沈坤发,马尾松毛虫危害马尾松造成经济损失评估.华东昆虫学报.2001,10(2):105~107
    [82]娄巍,侯爱菊,戴玉璋.松阿扁叶蜂防治指标、测报及生命表的初步研究.东北林业大学学报.1990,18(4):43-50
    [83]黄茂俊,陈芝卿.松突圆蚧大发生对马尾松生长影响的调查.广东林业科技.1988,3:5~7
    [84]胡炽海,松突圆蚧为害与马尾松松脂损失量关系的研究.广东林业科技.1992,4:25~28
    [85]孙源和.日本松干蚧危害对马尾松生长的影响.浙江林业科技.1984,3:37~40
    [86]戴普灿,中华松针蚧对云南松高生长的影响.西南林学院学报.2004,24(2):38~40
    [87]张心结,李奕震,苏星等.湿地松粉蚧为害对湿地松生长的影响.华南农业大学学报.1997,18(2):40~45
    [88]常乃庆,张启云,佟影等.落叶松落叶病发生指标和防治指标的研究.林业科学研究.1991,4(2):128~132
    [89]郝宏,许成启,汪太振等.松针红斑病引致樟子松生长量损失率模型的初步研究.防护林科技.1991,10(2):53~57
    [90]邱书志,曹秀文,蔡斌等.云杉落叶病损失估测的研究.西北农林科技大学学报(自然科学版).2005,33(6):64~68
    [91]李耀民,杨传波,李宝年等.樟子松枯梢病损失估测与防治指标.东北林业大学学报. 2002, 30(1): 33~35
    [92]马建鹏,杨宏波,徐士忠等.华山松疱锈病防治指标研究.西南林学院学报.1999,19(4):219~223
    [93]吴兴平,钟兴耀等,华山松腐烂病的防治指标.西南林学院学报.1999,19(1):24~29
    [94]王永民,刘国荣,王志明等.落叶松褐锈病防治指标与测报技术的研究.林业科学.1998,34(3):50~51
    [95]王志明,刘国荣,王永民等.落叶松枯梢病防治指标和为害指标的研究.吉林林业科技. 1999, 5:1~8
    [96]甘云浩,李永和,陈云科.华山松球蚜防治指标的研究.西南林学院学报.2000,20(1):48~53
    [97]苏世友,周波.杉肤小蠹的危害对杉树年材积生长量影响程度的研究初报.中国森林病虫. 1986, 2:25~26
    [98]郑永祥,崔相富,陈绘画等.鞭角华扁叶蜂防治指标研究.中国森林病虫.2002,21(4):3~4
    [99]朱建华,杉木炭疽病损失量估计的研究.福建林学院学报.1997,17(2):115~119
    [100]朱雨行.刺槐尺蠖防治指标的研究.中国森林病虫.2007,26(2):14~17
    [101]李秀山,崇信短肛棒樇经济阈值研究.中国森林病虫.2001.6:7~8
    [102]王艺伟,刘现周,李欣志等.泡桐金花虫防治指标的研究.河南林业科技.1993,2:24~26
    [103]王小纪,高存劳,张军灵等.草履蚧预测预报与防治指标.西北农林科技大学学报(自然科学版).2003,31(1):124~126
    [104]毕湘虹,田丰,陈广州.榆紫金花虫防治指标的研究.林业科技.1989,3:24~26
    [105]王艳芹,白桦尺蠖防治指标的确定.内蒙古林业科技.1997,增刊:106~108
    [106]王爱静,王成祥,李中焕.大青叶蝉防治指标的研究.林业科学.1995,31(1):81~85
    [107]胡隐月,刘宽余,王立纯.杨圆蚧防治阈值的探讨.东北林业大学学报.1985,13(4):43~49
    [108]河南省泡桐丛枝病研究协作组.泡桐丛枝病对兰考泡桐生长量影响的研究.河南科技. 1982, 2:38~49
    [109]骆有庆,黄竞芳,杞杰等.光肩星天牛对小美旱杨幼林生长量危害损失的初步研究.北京林业大学学报.1993,15(3):75~87
    [110]高瑞桐,秦锡祥,陈德均等.光肩星天牛危害对杨树损失的研究.林业科学研究.1993,6(2):189~193
    [111]刘笑平,张红英,王林英,青杨虎天牛防治指标的研究.吉林林业科技.2003,32(4):19~21
    [112]刘复玳,李鸿纲,王志军,杨十斑吉丁虫危害的损失量及防治对策的研究.甘肃农业大学学报.1991,26(4):402~408
    [113]夏志立,王德玉,谭丽娟,杨干象对杨树生长的影响和防治指标的研究.辽宁林业科技. 2004,1:12~14
    [114]项存悌,孙海峰,邵忠文等.杨树细菌溃疡病防治指标的研究.东北林业大学学报. 1991, 19(3):1~6
    [115]孙丽娟,钟建文,王延生.红松流脂病防治指标的研究,森林病虫通讯,1989,2:5~7
    [116]邵力平,薛煜,王振华等.兴凯湖松瘤锈病损失量的研究.东北林业大学学报.1989,17(2):1~5
    [117]牟少敏,刘忠德,孔繁华等.苹果黄蚜危害苹果经济损失和经济阈值的研究.山东农业大学学报(自然科学版).2002,33(1):87~88
    [118]席勇,白玉龙,宋应华等.枣大球蚧防治指标的研究.森林病虫通讯.2000,6:15~17
    [119]高兴文,苹果园桃小食心虫防治指标研究.落叶果树.1990,4:11~13
    [120]祁诚进,李秀娣,刘爱兴等.鲁北平原枣尺蠖防治指标的研究.森林病虫通讯.1994,2:4~5
    [121]孟铁男,吕和平等,桔啮叶甲为害花椒损失及防治指标测定.甘肃农业科技.1992,5:36~37
    [122]安广驰,舞毒蛾危害柿树损失估测模型研究.山东林业科技.1994,3:42-43
    [123]郑兰长,任国兰.山茱萸炭疽病经济损失的估算.河南林业科技.1992,2:14-16
    [124]肖育贵,林强,刘明富等,云杉球果锈病防治指标初步研究.森林病虫通讯.1995,4:4~6
    [125]孙绪,周成刚,张小娣等.针叶小爪螨对板栗的危害及防治指标初步研究.山东农业大学学报.1994,25(2):202-206
    [126]王问学,莫建初,周云龙等.油桐尺蠖防治指标的研究.中南林学院学报.1991,11(1):44~51
    [127]杜群红,油桐黑疤病经济损失初步研究.森林病虫通讯.1987,2:14~16
    [128]陈守常,肖育贵.四川地区油桐根腐病历史性和经济损失的研究.四川林业科技. 1988, 9(1): 9~14
    [129]张蓉,先晨钟,杨芳等.草地螟和黄草地螟危害苜蓿产量损失及防治指标的研究.草业学报.2005,14(2):121~123
    [130]王海林,王宏虬,陈方等.松纵坑切梢小蠹防治指标、经济阈值及空间分布型的研究.云南林业科技.1997,2:14~19
    [131]周丽君,张立军.杉天牛为害对杉木生长量影响初析.湖南林业科技.1990,4:28~29
    [132]黄脊竹蝗研究组,黄脊竹蝗防治指标的研究.林业科学.1992,28(5):459~465
    [133]赵芳,毛竹叶斑枯病的损失估测及防治指标.福建林学院学报.2005,25(4):338~343
    [134]祝长清,曹宗亮,白春社等.小地老虎为害棉苗的经济阈值的研究.河南农业大学学报. 1994, 28(1):99~102
    [135]国家科委全国重大自然灾害综合研究组.中国重大自然灾害及减灾对策(年表).北京:海洋出版社,1991
    [136]常国彬,苏宏均,尤德康等.森林病虫灾害经济损失计算方法研究.中国森林病虫. 2004,23(4):1~5
    [137]常国彬,谭成春,邢渤庶,等.森林病虫害经济损失评估的一种新方法—曲线法.中国森林病虫.2006,25(6):9~13
    [138]苏宏钧,赵太杰等.我国森林病虫害灾害经济损失.中国森林病虫.2004, 23(5):1~6
    [139]赵文霞.外来林业有害生物管理与生物安全立法.上海政法学院学报.2006,21(2): 100~103
    [140]李荣玲.世界主要林业国家林业分类经营情况综述.林业资源管理.1999,2:19~25
    [141]国家林业局.中国森林资源报告2005.北京:中国林业出版社,2005
    [142]Ralph. C. Hawley, Paul W. Stickel. Forest Protection (second version). John Wiley & Sons, Inc. 1948
    [143]江延安.陕北黄土高原啮齿动物的区系及鼢鼠的防治对策.水土保持通报.1998,18(1):48~52
    [144]阎锡海,高云芳.啮齿动物对延安地区林区危害的调查.西北大学学报(自然科学版). 1998, 28(6):527~530
    [145]姚圣忠,胡德夫,周娜,等.我国森林啮齿动物的发生及防控措施研究现状.中国森林病虫. 2005, 5:22~26
    [146]陈凤学,赵杰,耿东海.森林病虫害灾害等级研究.中国森林病虫.2004,3:4~7
    [147]赵杰,苏宏钧,常国斌,等.森林病虫害灾害经济损失评估指标体系的研究.中国森林病虫. 2004, 23(1): 1~5.
    [148]李金昌.资源核算论.北京:海洋出版社,1991
    [149]孔繁文,何乃蕙.森林资源核算与国民经济核算体系.北京:人民中国出版社.1993
    [150]《江西森林》编缉委员会.江西森林.北京:中国林业出版社,1986
    [151]束庆龙,吕传海,韩斌等.松材线虫病引致的马尾松林分蓄积量损失估计研究.安徽农业大学学报.2001,28(2):176~178
    [152]侯元兆,吴水荣.森林资源核算.北京:中国科学技术出版社, 2004
    [153]余清珠,成宁惠.影响柠条林结实的因子和提高产量的措施.陕西林业科技.1976,6:13~16
    [154]《内蒙古森林》编缉委员会.内蒙古森林.北京:中国林业出版社,1989
    [155]金争平,李永海,温秀凤等.干旱对中国沙棘人工生态林果实产量的影响.国际沙棘研究与开发. 2006,4(2):31~36
    [156]《山西森林》编缉委员会.山西森林.北京:中国林业出版社,1992
    [157]王有才,董晓光,王笑山等.日本落叶松种子园种子产量及结实规律研究.林业科学.2000,36(2): 53~59
    [156]杨俊平,人工樟子松林生长进程与生长量的灰色预测模型.内蒙古林业科技.1993,2:32~35
    [157]刘恩海,吴济生,张风江等.樟子松人工母树林近期种子产量预测方法的初步研究.林业科技.1992,17(6):13~16
    [158]唐慧锋,谢施诒,赵世华等.不修剪量对枸杞产量的影响.北方果树.2003,9:9~10
    [159]中华人民共和国农业部.全国农业统计提要2002~2006.http://www.agri.gov.cn
    [160]于清云.提高大兴安岭榛子质量和产量的具体措施.中国林副特产.2003,3:18
    [161]庄丽文,尚立权,刘莉等.红皮云杉速生丰产林生长量指标的研究.林业科技. 1998, 23(4): 10~12
    [162]陈宝强,董鉴昭.晋中西部堆积平原区旱柳生长研究.山西林业科技.1994,4:15~18
    [163]李文华,陈一鹗.刺槐生长量的灰色预测.水土保持通报.1995,15(6):60~68
    [164]徐阿生,西藏柏木生长特征的初步研究.西藏科技.1995,4:52~56
    [165]袁嘉祖,太岳山林区油松侧柏材积生长量预测模型.山西林业科技.1989,1:37~40
    [166]《山东森林》编缉委员会.山东森林.北京:中国林业出版社,1986
    [167]《河北森林》编缉委员会.河北森林.北京:中国林业出版社,1988
    [168]《甘肃森林》编缉委员会.甘肃森林.兰州:甘肃林业厅,1998
    [169]《宁夏森林》编缉委员会.宁夏森林.北京:中国林业出版社,1990
    [170]《辽宁森林》编缉委员会.辽宁森林.北京:中国林业出版社,1990
    [171]赵明哲,孟广仁.森林生长量推算方法的改革和红松连年生长率表的研制.辽宁林业科技. 1986, 1: 44~47
    [172]《吉林森林》编缉委员会.吉林森林.北京:中国林业出版社,1988
    [173]鄢志明,邓健,张万玉等.华山松林分生长量的影响.林业科技通讯.1999,1:9~15
    [174]《陕西森林》编缉委员会.陕西森林.北京:中国林业出版社,1989
    [175]《青海森林》编缉委员会.青海森林.北京:中国林业出版社,1993
    [176]《湖南森林》编缉委员会.湖南森林.长沙:湖南科学技术出版社,1991
    [177]《广西森林》编缉委员会.广西森林.北京:中国林业出版社,2001
    [178]王文斗,辽宁东部山区落叶松人工林生长量预测模型的研究.林业科技.1998,23(5):12~13
    [179]《福建森林》编缉委员会.福建森林.北京:中国林业出版社,1993
    [180]王春霞,刘万成,刘瑰琦.大兴安岭林区蒙古栎生长过程研究.中国林副特产.2005,5:60~61
    [181]唐丽.基于生长量的杉木林分龄级结构预测.西南农业大学学报.2006,28(2):264~266
    [182]《浙江森林》编缉委员会.浙江森林.北京:中国林业出版社,1993
    [183]邹桂霞,李晓华,高鹏等.杨树速生丰产林材积生长量的预测.吉林林学院学报. 1997, 13(3): 147~150
    [184]司马朝,葛双喜,袁德灿等.榆兰金花虫对榆树立木材积生长量的影响.河南科技. 1983, 11:10~12
    [185]郎学军,陈龙飞,夏志卿等.影响板栗产量原因剖析及对策.林业科技通讯.2001,1:26~28
    [186]谢军,裴福顺,郑红旗等.鲜枣产量与花期温度降水相关性及分级标准的初步研究.辽宁林业科技.1991,3:54~57
    [187]李瑞萍.葡萄产量与气象条件的关系.山西农业科学.2005,34(3):40~42
    [188]戴桂林,李莉.试论杏树产量形成与气候因素的关系.山西果树.1996,4:14~16
    [189]纪连军,孙兰英,王舜蛟.影响山杏产量的主要因素调查.防护林科技.2007,增刊.104~105
    [190]David Pimentel, Lori Lach, Rodolfo Zuniga, et al.2000. Environmental and economic costs associated with non-indigenous species in the United States.Bioscience. 50(1):54-65.
    [191]Costanza R,et al. 1997. The value of the world’s ecosystem services and natural capital. Nature. 387(15):253-260

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