forest

摘要： Forests in Kenya are managed under different management regimes, including traditional community based forest management, command and control, participatory forest management, leasehold, concessions, and private. Assessment of these regimes’ impact (positively or negatively) on forest conservation has not been done. The study was done to determine the impact on forest conservation of three management regimes traditional community based forest management, command and control, and participatory forest management. The survey was done through secondary data, focus group discussion, key informant interview, household survey, ecological survey, and land cover and land use analysis through GIS. The results indicate that the forest site under participatory forest management witnessed better forest management. In this site, the forest zone witnessing best management was the one near the forest station where the rangers are located and adjacent to the community that has been involved in forest management and benefited most from project intervention, an incentive for their participation in forest management. The forests under traditional community based forest management faced a high forest degradation rate. Forest under command and control regime witnessed the best forest condition improvement attributed to the management regime not allowing consumptive forest resource utilization. Each regime was best under its’ legislative framework and would facilitate better forest management and contribute to improved livelihoods without compromising forest quality. Participatory forest management was the most preferred management regime contributing to better forest management, improved community livelihoods, and formally involved communities and other stakeholders. Each regime’s appropriateness would be enhanced through stakeholder capacity building, institutional reform, adequate financial facilitation, and appropriate implementation. Therefore, adopting participatory forest management attributes to the other two management regimes would enhance their appropriateness, while appreciating that the management objective determines the regime being implemented in each forest.

摘要： After the first detection of the gram-negative bacterium,Xylella fastidiosa multiplex in Portugal,in January 2019,a“Demarcated Area”was delimited and an“Action Plan”to control the pathogen has been developed.It is considered one of the greatest threats to plant health worldwide and leads to loss of forests vitality and productivity.The current study was developed till June 2020,with the objective to understand the dimension of the issue worldwide and in Portugal,analyzing the state-of-the-art on the biology,dispersion,symptoms,control and risks associated with this bacterium(Research Phase).In the Prospecting Phase,we collected 5 branches with 5-8 leaves,from the four quadrants of the tree,wrapping and labeling them-so 2,261 samples were collected and sent to the laboratory for analysis.It was possible to determine that the two initial outbreaks were not an isolated case,as 107 additional outbreaks were detected in other places,revealing a much more worrying panorama,requiring further analysis on the real impact of this bacterial strain on the natural environment.By the end of this study the demarcated area covered about 62,000 ha.The most affected species was lavender with 30%of positive outbreaks,followed by gorse with 22%,and rosemary with 11%.Spread of Phillaenus spumarius and X.fastidiosa indicates that insect vector and transport links appear to be dispersal facilitators together with Douro River.As eradication is unfeasible to achieve in the coming years,containment will be the most appropriate strategy.

摘要： ON the night of May 27,2021,15 elephants swaggered their way down an empty street in Eshan County of Yuxi City in Yunnan Province.These elephants are rarely-seen wild Asian elephants.They left home in March to embark on a food-hunt journey that took them towards the north.Seven months later,they returned to their home—the Wild Elephant Valley of the Xishuangbanna National Nature Reserve.

摘要： Forests are home to more than half of all species found on land,a rich variety of life that keeps many of our most vital natural systems running-from keeping our climate stable by absorbing carbon dioxide and releasing oxygen,to regulating our water supply and improving its quality.Over one billion people live in and around forests and depend on them for fuel,food and medicines.And all of us use wood in our daily lives:in fact,global demand for timber products is expected to more than triple over the next three decades.

摘要： KANAS lies in the Altai Mountains in northern Xinjiang,150 kilometers from Burqin County,which is bordered by Kazakhstan,Russia,and Mongolia.With a span of 10,030 square kilometers,it is the largest 5A national scenic area in China.It is also a national natural heritage site-and a national low-carbon tourism experimental area-which contains Kanas Lake National Geo Park and Baihaba National Forest Park.

摘要： The changing patterns of land cover and land use in the tropical river basin over time are critical. The hydrological phenomena at basin and sub basin scale are affected positively or negatively by dynamics of the land cover and land use patterns. Hence identifying causes and driving factors aid in taking appropriate measures to avert the impacts. This study determined the influences of sub basins dominated by tea plantations, forests and agricultural land uses in terms of streamflow and sediment flux variability in Sondu Miriu River Basin in Kenya, East Africa. Field-based investigations were conducted through sampling of flow velocities, turbidity and TSSC obtained from existing River Gauging Stations established within the three sub basins. The sub basin dominated by mixed farming land cover exhibits high turbidity approximately 620 NTU and high levels of total suspended sediment concentration (TSSC) of the order of 630 mg/l in wet seasons. The turbidity levels and TSSC were low in sub basins dominated by forest and tea plantations with approximately mean value of 17 - 29 NTU and 0.019 g/l. The sediment loads in sub basin dominated by mixed farming in the pre planting season in January to February were about 900 tonnes/day higher than that in crop growing season. In sub basins dominated by forest cover and tea plantations, sediment loads were low ranging between 2 - 7 tonnes/day. The relationship between stream flows and area under tea plantations, forests and mixed farming ranged between R2 of 0.025 and 0.16. Tea plantations and forests influence the stream flows and sediment yields in long term duration while in mixed farming variations were observed seasonally. The strong relationships between rainfall and stream flows at the sub basins ranging between R2 of 0.84 and 0.97 revealed the significance of rainfall in hydrologic response of the Sondu Miriu River Basin.

摘要： THE Zhangjiajie National Forest Park was the first designated national forest park in China.Covering an area of 130 square kilometers,it lies in Wulingyu­an,the core scenic area of Zhangjiajie City in central China’s Hunan Province,with a forest coverage of about 95 percent.It was recognized as a UNESCO World Heritage Site in December 1992.In February 2004,this forest park was also included in the list of UNESCO Global Geoparks.Zhangjiajie features peculiar landforms formed by impos­ing peak forests of various patterns.Its luxuriant vegetation,steep slopes,deep valleys,and a warm and humid climate create an array of natural attractions.The Zhangjiajie Na­tional Forest Park has six small scenic areas,among which Huangshizhai and Yuanjiajie are the most famous.

摘要： China is expanding forest carbon sinks as part of efforts to mitigate climate change Reservoirs capable of capturing and storing carbon dioxide are known as carbon sinks.Forests are one of the largest carbon sinks on the planet, and have a critical role in the fight against global warming.As China aims to become carbon neutral by 2060, expanding forest carbon sink has become a major priority for the country. According to data from the National Forestry and Grassland Administration.

摘要： CHINA Wuyi Mountain Wuyi Mountain, located in southeast China’s Fujian Province, contains the largest, most representative example of a largely intact forest encompassing the diversity of the Chinese subtropical forest and the south Chinese rainforest. Of enormous importance for biodiversity conservation, the property acts as a refuge for an important number of ancient, relict plant species.

摘要： Tim:I''m gong on a field trip tomorrow!Hannah:Wow!Where to ?Tim:To the forest,to look for insects;then we''ll write about them.Hannah:Insects!How boring!Tim:Boring?No!They''re fascinating!have loads of books about them.

摘要： 本发明公开了一种基于LOF‑Co‑Forest算法的视频篡改检测方法，包括如下步骤：对视频数据库中的视频特征进行提取，并进行特征处理，将处理后的视频特征存放入视频特征数据库中；对查询视频中的视频特征进行提取，并进行特征的处理；将查询视频与视频特征数据库中的特征进行对比匹配，将是否匹配的标签信息重新划分，组成训练样本集；将训练样本集通过格式转换，形成算法代码能够处理的数据格式，输入到LOF‑Co‑Forest算法中，由算法进行样本集的划分，通过分类器对测试样本集的分类结果进行输出，从而判定视频是否被篡改。本发明检测方便快捷，有效的降低了分类器的错误率，有良好的实际应用价值。

摘要： 本发明公开了一种基于GC‑Forest的入侵检测方法，首先使用主成分分析对获取的网络数据进行特征选择和降维，得到样本数据；然后采用多个不同大小的窗口分别扫描样本数据，扫描后的数据经过两种随机森林作为增强特征数据与原始数据重构形成新的特征数据；再用重建的新的特征数据训练级联森林。本发明提供的基于GC‑Forest的入侵检测方法中，所采用的GC‑Forest分类精度高，网络结构更简单，比CNN具有更少的超参数和更快的训练速度，使算法更适合于并行计算，有效解决了CNN入侵检测方法的复杂性和耗时性问题，在训练时间和入侵检测率方面比CNN有明显优势。

摘要： 本发明公开了基于Random Forest神经网络的金融风险评估方法。包括以下步骤：第一步，在服务端设置Random Forest模型，并给出训练集和测试集，通过Bagging算法训练Random Forest模型；第二步，在客户端提出用户金融风险评估请求给到服务端；第三步，服务端在收到客户端请求后，通过匹配存储库中用户个人身份id，获取该用户所有业务属性以及金融数据；第四步，服务器端利用训练好的Random Forest模型对该用户的业务属性和金融数据进行风险评估，并将输出结果返回给服务器端；第五步，服务器将结果进行整理，最后输出给客户端最终的金融风险评估结果。本发明能够避免客户金融数据多地存储，保证客户金融数据存储安全。

摘要： 本发明公开一种基于Isolation Forest的城市道路交通异常检测方法，以道路为检测对象，根据道路在不同时段的平均运行速度划分不同类别数据集，基于每个数据集训练一个Isolation Forest，通过检测道路速度在Isolation Forest中到根节点的距离来判断道路是否异常。采用本发明的技术方案，具有计算量小，不需要对每条道路都计算其分布的特点。

摘要： 本发明公开了一种基于LOF-Co-Forest算法的视频篡改检测方法，包括如下步骤：对视频数据库中的视频特征进行提取，并进行特征处理，将处理后的视频特征存放入视频特征数据库中；对查询视频中的视频特征进行提取，并进行特征的处理；将查询视频与视频特征数据库中的特征进行对比匹配，将是否匹配的标签信息重新划分，组成训练样本集；将训练样本集通过格式转换，形成算法代码能够处理的数据格式，输入到LOF-Co-Forest算法中，由算法进行样本集的划分，通过分类器对测试样本集的分类结果进行输出，从而判定视频是否被篡改。本发明检测方便快捷，有效的降低了分类器的错误率，有良好的实际应用价值。

摘要： 本发明公开一种基于SVM‑forest的从非平衡类数据中提取敏感数据的方法，该方法先从有标签样本取出一部分作为测试样本，剩余作为训练样本，采用k‑means将正常工况类别分割为子类，并与故障工况类别数据混合，形成N个训练子集，并使用SVM‑tree的方法训练出SVM‑forest，并利用测试样本对对SVM‑forest进行测试，选择对故障工况错分率最高的L棵树，保留一部分对分类效果影响较大的数据，然后根据选择分类算法对测试集中的少数类和剩下的多数类训练出一个分类器T，并使用临时测试样本测试T的分类效果，直到效果达到要求。本发明的敏感数据提取方法通过多次迭代选取多数样本集中对分类效果影响较大的样本，以此降低不平衡度，使分类效果接近或者达到同等情况下的均衡分类效果。

摘要： 本发明涉及一种基于Isolated forest‑变点增强的企业用电异常检测方法。该方法包括：首先根据收集到的企业日用电量数据，针对企业用电时间序列数据进行缺失值填充、标准化处理等；对经过清洗后的数据进行分解，剔除数据的周期性模式；使用分解后的残差项利用LSTM模型进行预测，得到预测值和真实值的误差；计算每个点的用电异常分值，得到疑似异常时间点；对残差项进行变点检测，结合异常检测和变点检测的结果，确定是否异常时间点；基于所检测到的异常时间点，定位到该时间点下的数据，使用孤立森林进一步检测异常企业。本发明所提出的变点增强算法，降低异常检测的假阳性率，得到异常时间点后结合孤立森林，能够有效的检测到异常用电企业。

摘要： 本发明公开一种基于SVM‑forest的从非平衡类数据中提取敏感数据的方法，该方法先从有标签样本取出一部分作为测试样本，剩余作为训练样本，采用k‑means将正常工况类别分割为子类，并与故障工况类别数据混合，形成N个训练子集，并使用SVM‑tree的方法训练出SVM‑forest，并利用测试样本对对SVM‑forest进行测试，选择对故障工况错分率最高的L棵树，保留一部分对分类效果影响较大的数据，然后根据选择分类算法对测试集中的少数类和剩下的多数类训练出一个分类器T，并使用临时测试样本测试T的分类效果，直到效果达到要求。本发明的敏感数据提取方法通过多次迭代选取多数样本集中对分类效果影响较大的样本，以此降低不平衡度，使分类效果接近或者达到同等情况下的均衡分类效果。