共被期刊论文引用了3次
您的检索式：您选中1篇文献正在查看引证文献汇总
|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | 快速城市化地区城市森林景观破碎化的动态演变分析显示文摘【目的】综合分析城市森林景观破碎化的动态演变趋势,为快速城市化地区的城市总体规划、绿地系统规划、森林城市建设、城市可持续发展提供科学依据。【方法】基于广东省惠州市1990、2000、2010年Landsat TM/ETM+卫星影像,采用景观格局数量分析和转移矩阵从中心区、近郊区和远郊区3个梯度分析城市森林景观破碎化动态特征及演变。【结果】惠州市城市中心区斑块密度由1990年的0.08个·hm^(-2)增加到2010年的0.25个·hm^(-2),平均斑块面积由11.81 hm^2下降到3.92 hm^2;近郊区的斑块密度和平均斑块面积也呈相似的变化趋势,但2000—2010年间的变化相对较小,说明破碎化斑块逐步缩小;在远郊区,景观破碎化趋势较为缓慢,斑块密度由0.18个·hm^(-2)增加到0.30个·hm^(-2),再降至0.11个·hm^(-2),平均斑块面积由9.12 hm^2减小至3.51 hm^2。在1990—2000年期间,城市无序和快速的扩张,城市绿地的斑块数量增多,面积减小;但在2000—2010年期间,通过城市公园、人工荒山绿化、生态修复等人工绿地的有序建设,城市绿地斑块面积逐渐增大,斑块整合逐渐加强,景观破碎化程度逐步降低,表现出典型的逆破碎化趋势。【结论】人为有序和有规划的生态修复和重建可以有效地改善城市森林景观状态,提高城市森林覆盖率。 | 杨沅志 薛冬冬 张浩 徐正春 唐光大 | 2016 | 华南农业大学学报2016，37，4： | 12 |
| 2 | Modelling potential distribution of a pine bark beetle in Mexican temperate forests using forecast data and spatial analysis tools显示文摘Accurate and reliable predictions of pest species distributions in forest ecosystems are urgently needed by forest managers to develop management plans and monitor new areas of potential establishment.Presence-only species distribution models are commonly used in these evaluations.The maximum entropy algorithm(MaxEnt)has gained popularity for modelling species distribution.Here,MaxEnt was used to model the spatial distribution of the Mexican pine bark beetle(Dendroctonus mexicanus)in a daily fashion by using forecast data from the Weather Research and Forecasting model.This study aimed to exploit freely available geographic and environmental data and software and thus provide a pathway to overcome the lack of costly data and technical guidance that are a challenge to implementing national monitoring and management strategies in developing countries.Our results showed overall agreement values between 60 and 87%.The results of this research can be used for D.mexicanus monitoring and management and may aid as a model to monitor similar species. | Antonio Gonzalez-Hernandez Rene Morales-Villafana Martin Enrique Romero-Sanchez Brenda Islas-Trejo Ramiro Perez-Miranda | 2020 | Journal of Forestry Research2020，31，2： | 1 |
| 3 | Influence of climatic conditions,topography and soil attributes on the spatial distribution of site productivity index of the species rich forests of Jalisco,Mexico显示文摘This paper presents an approach based on field data to model the spatial distribution of the site productivity index(SPI)of the diverse forest types in Jalisco,Mexico and the response in SPI to site and climatic conditions.A linear regression model was constructed to test the hypothesis that site and climate variables can be used to predict the SPI of the major forest types in Jalisco.SPI varied significantly with topography(elevation,aspect and slope),soil attributes(pH,sand and silt),climate(temperature and precipitation zones)and forest type.The most important variable in the model was forest type,which accounted for35%of the variability in SPI.Temperature and precipitation accounted for 8 to 9%of the variability in SPI while the soil attributes accounted for less than 4%of the variability observed in SPI.No significant differences were detected between the observed and predicted SPI for the individual forest types.The linear regression model was used to develop maps of the spatial variability in predicted SPI for the individual forest types in the state.The spatial site productivity models developed in this study provides a basis for understanding the complex relationship that exists between forest productivity and site and climatic conditions in the state.Findings of this study will assist resource managers in making cost-effective decisions about the management of individual forest types in the state of Jalisco,Mexico. | Adel Mohamed Robin M.Reich Raj Khosla C.Aguirre-Bravo Martin Mendoza Briseo | 2014 | Journal of Forestry Research2014，25，1： | 1 |
您所在的机构暂未开通此部分的功能，请联系管理员