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| 1 | 基于遥感的景观格局时空动态研究显示文摘基于试验区域1990年TM影像和2002年ETM+影像,采用遥感和地理信息系统相结合的技术方法,应用景观分析软件Fragstats3.3,对试验区域12 a来景观变化进行了动态研究。结果表明:12 a间,试验区域景观发生巨大变化。(1)1990~2002年间,森林面积大幅度减少,其他植被、裸地、建设用地、水域面积得到了增加,其中建设用地相对自身增幅最大,年平均增长率为20.9%。(2)两时期的景观基质均为森林,其他植被、裸地、建设用地、水域作为斑块单元镶嵌其中,5种景观类型相互之间转化频繁,森林主要转化为其他植被和裸地;同时其他植被、裸地也有大部分转化为森林,其原因是人工林的建立,转化后的景观森林的主导优势已不明显。(3)总体景观的破碎度呈增加趋势,但不同景观类型的破碎化指数的变化则表现不同,森林和水域表现出下降趋势,而其他植被、裸地、建设用地的景观破碎化指数则呈上升趋势,景观向无序状态发展。 | 孟京辉 陆元昌 CHRISTOPH Kleinn 刘宪钊 | 2010 | 西北林学院学报2010，25，1： | 14 |
| 2 | Site productivity estimation using height-diameter relationships in Costa Rican sec- ondary forests 显示文摘 | Herrera-Fem6ndez B Campos J J Kleinn C | 2004 | Investigaci6n Agraria-Sistemas Y Recursos Forestales2004，13，2： | 1 |
| 3 | Comparison of linear and mixed-effect regression models and a k-nearest neighbour ap- proach for estimation of single-tree biomass 显示文摘 | Fehrmann L Lehtonen A Kleinn C | 2008 | Canadian Journal of Forest Research2008，38，1： | 1 |
| 4 | Estimating aboveground carbon in a catchment of the Siberian forest tundra:combining satellite imagery and field inventory显示文摘 | Fuchs H Magdon P Kleinn C | | 0，，3： | 1 |
| 5 | General consideration about the use of allo- metric equations for biomass estimation on the example of Norway spruce in central Europe 显示文摘 | Fehrmann L Kleinn C | 2006 | For Ecol Manag2006，236，： | 1 |
| 6 | Comparison of linear and mixed-effect regression eresNGShouzheng models and a k-nearest neighbour approach for estimation of single-tree biomass 显示文摘 | FEHRMANN L LEHTONEN A KLEINN C | 2008 | Can J For Res2008，38，1： | 1 |
| 7 | Estimation of tree species richness from large area forest inventory data: Evaluation and comparison of Jackknife estimators 显示文摘 | Lain T Y Kleinn C | 2008 | For Ecol Manag2008，255，34： | 1 |
| 8 | Comparison of linear and mixed-effect regression models and a k-nearest neighbor approach for estimation of single-tree biomass显示文摘 | FEHRMANN L LEHTONEN A KLEINN C | 2008 | Canadian Journal of Forest Research2008，38，1： | 1 |
| 9 | Economic analysis of closing degraded Boswellia papyrifera dry forest from human interventions-A study from Tigray( northern Ethiopia) 显示文摘 | Tilahun M Olschewski R Kleinn C | 2007 | Forest Policy Econ2007，9，8： | 1 |
| 10 | Comparison of linear and mixed-effect regression models and a k-nearest neighbour approach for estimation of single-tree biomass显示文摘 | Fehrmann L Lehtonen A Kleinn C | 2008 | Canadian Journal of Forest Research2008，38，1： | 1 |
| 11 | Estimatingaboveground carbon in a catchment of the Siberian forest tundra:combining satellite imagery and field inventory显示文摘 | FUCHS H MAGDON P KLEINN C | 2009 | RemoteSensing of Environment2009，113，3： | 1 |
| 12 | Measuring fragmentation and structural diversity显示文摘 | Traub B Kleinn C | 1999 | Forstw Centralblatt1999，118，： | 1 |
| 13 | Comparison of linear and mixed- effect regression models and a k -nearest neighbor approach for estimation of single - tree biomass 显示文摘 | Fehnnann L Lehtonen A Kleinn C | 2008 | Can J For Res2008，38，： | 1 |
| 14 | Comparison of linear and mixed-effect regression models and a K-nearest neighbour approach for estimation of single-tree biomass显示文摘 | FEHRMANN L LEHTONEN A KLEINN C | 2008 | Canadian Journal of Forest Research2008，38，1： | 1 |
| 15 | Comparison of linear and mixed - effect regression models and a k - nearest neighbor approach for estimation of single -tree biomass 显示文摘 | Fehrmann L Lehtonen A Kleinn C | 2008 | Can J For Res2008，38，： | 1 |
| 16 | A new empirical approach for estimation in k - tree sampling 显示文摘 | Kleinn C Vilckoa F | 2006 | Forest Ecology and Management2006，237，： | 1 |
| 17 | Measuring fragmentation and structural diversity显示文摘 | Traub B Kleinn C | 1999 | Forstw Centralblatt1999，118，： | 1 |
| 18 | Improving precision of field inventory estimation of aboveground biomass through an alternative view on plot biomass显示文摘We contrast a new continuous approach(CA)for estimating plot-level above-ground biomass(AGB)in forest inventories with the current approach of estimating AGB exclusively from the tree-level AGB predicted for each tree in a plot,henceforth called DA(discrete approach).With the CA,the AGB in a forest is modelled as a continuous surface and the AGB estimate for a fixed-area plot is computed as the integral of the AGB surface taken over the plot area.Hence with the CA,the portion of the biomass of in-plot trees that extends across the plot perimeter is ignored while the biomass from trees outside of the plot reaching inside the plot is added.We use a sampling simulation with data from a fully mapped two hectare area to illustrate that important differences in plot-level AGB estimates can emerge.Ideally CA-based estimates of mean AGB should be less variable than those derived from the DA.If realized,this difference translates to a higher precision from field sampling,or a lower required sample size.In our case study with a target precision of 5%(i.e.relative standard error of the estimated mean AGB),the CA required a 27.1%lower sample size for small plots of 100 m2 and a 10.4%lower sample size for larger plots of 1700 m2.We examined sampling induced errors only and did not yet consider model errors.We discuss practical issues in implementing the CA in field inventories and the potential in applications that model biomass with remote sensing data.The CA is a variation on a plot design for above-ground forest biomass;as such it can be applied in combination with any forest inventory sampling design. | Christoph Kleinn Steen Magnussen Nils Nölke Paul Magdon Juan GabrielÁlvarez-González Lutz Fehrmann César Pérez-Cruzado | 2020 | Forest Ecosystems2020，7，4： | 0 |
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