金洞森林旅游开发的前景及效益分析

文章从发展生态旅游入手,结合当前森林旅游形势的需要,从社会基础、自然条件、区位优势与资源优势进行分析,以突出金洞的本土特色,提出合理的建设原则,并设计相应的森林旅游项目,从实际出发提出可行的开发形式与管理办法,通过效益分析得出开发森林旅游的可行性结论。     

喜鹊在山地次生林中鸟类群落组织结构形成的作用

通过山地次生林鸟类群落组织结构的研究,表明喜鹊在鸟类群落组织形成中是关键类群之一.关键类群是通过巢地资源的被利用来实现的.5年中,利用喜鹊巢繁殖的鸟类达5种,利用率为25%~40.7%.     

旅游转型升级背景下传统干栏的民宿式更新 ——以龙脊景区的金竹寨为例

通过对广西龙胜各族自治县龙脊景区内民族村寨的田野调查,分析了村寨旅游开发及民居旅游转型的情况,从民宿经营策略、营建策略的角度对比分析金竹寨与景区内其他村寨干栏更新的现状,探索了旅游转型升级背景下传统干栏民宿式更新的内在机制与逻辑,明晰了传统民居因市场资本作用发生更新演变背后所隐藏的线索.     

黑龙江省伊春市五营国家森林公园负离子研究

根据伊春市五营国家森林公园中的空气负氧离子浓度的实测资料,利用空气离子单极系数及空气离子评价系数进行了评价和研究.结果表明,该森林公园中空气负离子含量达到国际旅游度假区一级标准,空气清洁度属于A级“最清洁”;在动态水周围的一定范围内随着与动态水的距离的逐渐增大,空气离子单极系数大致呈线性增加趋势;空气离子评价系数值大致呈线性减小趋势.而在这个范围之外,两个值都将趋于平缓;在分别以红松、冷杉和白桦三种树种为主体的纯林中,空气清洁度均在早晚时比较高,在中午时出现低谷.     

状态空间模型在区域森林景观生态经济研究中的应用

通过对江苏省溧阳地区森林景观进行生态经济研究 ,获取区域森林景观的生态经济特征数据的基础上 ,结合森林动态数据 ,根据研究对象的系统机理建立状态空间模型。该模型可用于进行综合生态经济评价及其规划。文中应用状态空间模型进行区域森林景观生态经济功能的多目标规划.     

Year-round activity patterns in a hyperdiverse community of rainforest amphibians in Madagascar

Madagascar hosts a high diversity of amphibians estimated at over 500 species, nearly all of them endemic. Surprisingly few data are available on the activity cycles of this fauna, despite its importance for ecological, evolutionary and conservation research. Here we report the results of a year-round survey of amphibians along a transect bordering the Analamazaotra forest near Andasibe in central eastern Madagascar. During 120 transect walks evenly spaced through the year, a total of 2530 individuals of 40 species of anurans was observed. Abundance was higher during the warm/rainy season (December to April) and peaked in February. Of the five climatic predictors measured, only mean temperature and relative humidity showed high importance values, and multi-model averages indicate that these two variables have a strong effect on amphibian abundance along the transect. Species richness showed no evident peak during the study period and was best explained by a model including average temperature and rainfall. Canonical correspondence analysis indicates that Boophis sibilans, B. tephraeomystax, B. boehmei and Plethodontohyla notosticta were more frequently encountered along the transect on cold and humid days while Plethodontohyla mihanika, Gephyromantis boulengeri and Spinomantis aglavei were distinctly more abundant on cold and dry days, and Paradoxophyla palmata on warm and dry days. The results of our study flag a number of species as suitable candidates for future monitoring initiatives and suggest that a simple combination of visual and acoustic surveys can estimate amphibian activity with high sample sizes in Madagascar’s rainforests.     

Patterns of artificial avian nest predation by introduced rats in a fragmented laurel forest (Tenerife,Canary Islands)

The importance of introduced rats as damaging factors on island biotas is globally recognized. The predation of artificial avian nests by Ship rats (Rattus rattus) in fragmented laurel forests in Tenerife (Canary Islands) was explored. The influence of road edge, patch type, and position (ground versus tree) on nest survival in two forest remnants differing in conservation degree, were assessed using failure‐time analysis. Overall, nest predation was greater in the preserved than in the disturbed remnant. Nest predation also differed among and within patches, variation being greater within the disturbed remnant. The probability of nest failure was higher at the interior than along the road edge in both remnants, but the road edge effect on nest predation was more intense in the disturbed remnant. Predation pressure was higher in patches of mature, closed canopy or dense understorey with stump sprouting. Ground nests were predated at higher rates than tree nests at any location. These results contrast with other nest predation studies in fragmented landscapes where forest edges rather than the interior are more frequently used by predators. Predatory activity by rats seems negatively affected by forest disturbance and road edge effect. Overall, artificial nest predation patterns by rats confirm a potential predation risk for the avifauna of the Canarian laurel forest. This should be considered in implementing conservation management programmes.     

基于光学-ALS变量组合和非参数模型的天然次生林地上生物量估算

【目的】通过组合机载激光雷达(airborne laser scanning, ALS)数据和Sentinel-2A数据提取特征变量,探讨估算天然次生林地上生物量(aboveground biomass, AGB)最佳的变量组合方式和估算方法。【方法】以2015年ALS数据、2016年Sentinel-2A数据和黑龙江帽儿山林场森林资源连续清查固定样地数据为数据源,通过ALS数据提取高度特征变量(all the LiDAR variables, 记为A_L),Sentinel-2A数据提取若干植被指数变量(all the optical variables, 记为A_O),然后将光学-ALS结合变量(combined optical and LiDAR index, COLI,记为I_COL)结合成为新的变量 I_{\mathrm{CO}{\mathrm{L}}_1} 和 I_{\mathrm{CO}{\mathrm{L}}_2} ,以6组特征变量组合方式(A_O+A_L、 I_{\mathrm{CO}{\mathrm{L}}_1} 、 I_{\mathrm{CO}{\mathrm{L}}_2} 、 I_{\mathrm{CO}{\mathrm{L}}_1} +A_O+A_L、 I_{\mathrm{CO}{\mathrm{L}}_2} +A_O+A_L、 I_{\mathrm{CO}{\mathrm{L}}_1} + I_{\mathrm{CO}{\mathrm{L}}_2} +A_O+A_L)作为输入变量,分别使用多元线性逐步回归(stepwise multiple linear regression,SMLR)、K-最近邻法(K-nearest neighbor,K-NN)、支持向量回归(support vector regression,SVR)、随机森林(random forest, RF)和堆叠稀疏自编码器(stack sparse auto-encoder,SSAE)共5种方法构建了天然次生林AGB估算模型,探讨I_COLs变量以及不同模型对生物量估测精度的影响。【结果】结合变量I_COLs对于森林AGB的估算十分有效,加入I_COLs变量能够很大提高森林AGB模型的估算精度;与其他4种模型相比,无论使用哪些变量作为输入数据,SSAE模型的精度最高;当使用SSAE模型,以光学和ALS变量组合 ( I_{\mathrm{CO}{\mathrm{L}}_1} + I_{\mathrm{CO}{\mathrm{L}}_2} +A_O+A_L)作为输入特征变量时,模型的准确性最高:R²=0.83,均方根误差为11.06 t/hm²,相对均方根误差为8.23%。【结论】结合变量COLIs能够有效地提高天然次生林AGB的估算精度,而且深度学习模型(SSAE)在估算天然次生林AGB方面优于其他预测模型。总体而言,利用ALS和Sentinel-2A数据组合变量的SSAE模型可以较准确地估算森林AGB,为天然次生林地上生物量的估算和碳储量评估提供技术支持。     

基于ULS、 TLS和超声测高仪的天然次生林中不同林冠层树高估测

【目的】应用不同数据源分析不同林冠层中探测提取树高的异同,探索适用于中国北方天然次生林树高估测的方法。【方法】以东北林业大学帽儿山实验林场中林施业区0.25 hm²样地为研究区域,基于无人机激光雷达(unmanned aerial vehicle laser scanning, ULS)、地基激光雷达(terrestrial laser scanning,TLS)和Vertex IV超声测高仪实测单木树高,根据冠层高度分布(canopy height distribution, CHD)对林冠层进行分层,对不同林冠层(上层和下层)、不同树木类型(针叶树和阔叶树)探测提取的树高进行对比与分析。【结果】由CHD计算得到的冠层分层阈值为8.5 m。树高的离群值大多产生在林冠上层,阔叶树比针叶树更容易产生离群值,ULS比TLS更容易产生离群值。在林冠上层,ULS比TLS估测树高的相对均方根误差(rRMSE)低2.56%,ULS提取针叶树树高的rRMSE比阔叶树低2.68%;在林冠下层,ULS仅能探测到少量树木,ULS比TLS探测提取树高的 rRMSE高6.31%,TLS提取针叶树树高的rRMSE比阔叶树低1.16%。【结论】针叶树的树高估测精度普遍高于阔叶树;当TLS和ULS均能对单木进行完全扫描时,具有准确提取树高的潜力;树高离群值多由冠型不规则或相互交叉的阔叶树产生,而大部分针叶树,由于具有规则的冠型,所以产生的离群值较少;基于CHD对林冠层进行划分能够较好地反映不同数据源估测树高的适用范围,具有一定的推广意义。     

结合冠层密度的森林净初级生产力遥感估测

【目的】 森林冠层密度与林分年龄、植被生长状况有关,在区域森林净初级生产力遥感估测中,结合森林冠层密度以期提高估测精度。【方法】 以广东省韶关市为研究对象,选用2017年Landsat-8 OLI影像、2017年357块森林资源连续清查固定样地数据为主要信息源,分别采用随机森林、多元线性回归、人工神经网络和K最近邻分类法等4种模型,结合森林冠层密度制图器(FCD)进行区域森林净初级生产力特征变量的选取、参数建模、模型精度评价和森林净初级生产力空间制图。【结果】 特征变量中,红光波段(B4)、归一化植被指数(NDVI)、比值植被指数(RVI)、叶面积指数(LAI)、缨帽变换土壤植被因子、纹理特征和地形特征在森林净初级生产力反演中有重要作用。将森林冠层密度因子加入反演模型后,4种遥感估测模型精度均有大幅度提高。对4种遥感估测模型进行性能比较,随机森林模型精度最高,其次是多元线性回归模型、人工神经网络模型,K-最近邻分类模型精度最低。研究区内森林净初级生产力平均值为10.689 t/(hm²·a),高森林净初级生产力 [≥18 t/(hm²·a)]林分面积仅占研究区的19.61%,主要分布在海拔较高的西北部。【结论】 结合冠层密度进行森林净初级生产力的建模,可有效提高模型估测精度。