Effects of stand structure on wind speed reduction in a Metasequoia glyptostroboides shelterbelt

In a Metasequoia glyptostroboides coastal forest shelterbelt near Shanghai, China, we studied relationships between stand structure and wind shelter effect. We located 16 plots at intervals of 500 m along the shelterbelt and characterized both horizontal and vertical structure of each plot. Wind speed was measured within each plot and at different distances windward and leeward. We found that wind shelter effects were closely related to stand structure of the studied M. glyptostroboides shelterbelt. Stands with high basal area but intermediate crown index and intermediate proportion of large trees (LT) produced the best shelter effects, with significantly longer shelter distance (d70, shelter distance which the wind speed U does not exceed 70 % of U ₀) and slightly lower minimum relative wind speed (U _m /U ₀). Simple structural indices that can be easily measured in the field were good predictors of the shelter effect. LT was the best predictor of d70, while basal area at ground level was the best predictor of U _m/U ₀. The relationships between stand structure and shelter effect provides a practical guideline to the design, construction and management of forest shelterbelts. In order to provide the best shelter effects, high basal area of >50 m² ha^?1 at ground level or >33 m² ha^?1 at breast height coupled with an intermediate LT value of about 60 % should be maintained for the studied M. glyptostroboides shelterbelt.     

A case study of shelterbelt effect on potato (Solanum tuberosum) yield on the Atherton Tablelands in tropical north Australia

An experimental study was conducted on the Atherton Tablelands of tropical north Australia to quantify the shelterbelt benefit to the production of potato (Solanum tuberosum). Wind speed, wind direction and potato yield were measured at various distances from the leeward side of the shelterbelt. Non-linear modelling was used to describe the relationship between potato yield and distance from the shelterbelt. With the developed model, definite integral was used to calculate the net increase percentage of potato yield.Wind speed was greatly reduced by the shelterbelt. Potato yield was increased by 6.7% due to the shelterbelt.It appears that fitting non-linear models is a useful method to determine an accurate net increase of crops from shelterbelts, providing an accurate assessment of the average crop yield on the open areas is achieved.     

Protection efficiency assessment and quality of coastal shelterbelt for Dongshan Island at the coastal section scale

The coastal shelter forest in China is under threat of destruction and degradation because of the impact of human activities. Protection efficiency assessment of the coastal shelterbelt is an important component of shelter-forest remediation planning and sustainable management. In this study, a protection efficiency index (PEI) model was established using the projection pursuit method to assess the protective quality of the coastal shelter forest at the coastal section scale of Dongshan Island, China. Three criteria were used, including forest stand structure, forest belt structure, and windbreak effect; each criterion further comprised multiple factors. Based on survey data of 31 plots in the coastal shelter forest of Dongshan Island, we calculated PEI values using a projection of a pursuit model. The result showed 64.5 % of the PEIs fell at or below the middle level, which can indicate the status of the coastal shelterbelt is unsatisfactory. To further explore whether the different bays and land use types create significant differences in PEIs and evaluation indices, we used an ANOVA to test the influence of various bays and forms of land use on coastal shelterbelts. The results showed that PEI and most of the indices differed significantly by bay; mean tree height, mean DBH, mean crown width, stand density, vegetation coverage, and wind velocity reduction differed significantly by land use. Therefore, relevant measures for different locations, bays and surrounding land use can be proposed to improve the existing conditions of the coastal shelterbelt. The results of this study provide a theoretical and technical framework for future changes and sustainable management of coastal shelterbelt on Dongshan Island.     

SBELTS: A model of soybean production under tree shelter

Farmers in the North Central region of the United States often are reluctant to use shelterbelts because of inadequate information clearly showing their benefits. We developed a computer model, called SBELTS for ShelterBELT and Soybeans, that simulates the influence of a shelterbelt on soybean (Glycine max L.) production across an agricultural field in the midwestern United States. Objectives of this study were to 1) describe the structure of SBELTS, 2) present model simulations, and 3) discuss model limitations. SBELTS is composed of three submodels. The first submodel produces characteristics of a shelterbelt that are passed to the second submodel that estimates daily windrun at user-specified distances leeward (away from the prevailing wind) of the shelterbelt. Estimated daily windruns are merged with other microclimatic information to produce weather files for each specified distance. Finally, the third submodel uses a soybean growth/yield model to estimate soybean yield at specified distances, and the yields are averaged. Data collection was not a part of the present project, so SBELTS was evaluated by comparing predicted results with published information. SBELTS was used to predict soybean yield across a field leeward of a 7.6 m tall shelterbelt, and the predicted yield curve compared well with published yield curves. The sensitivity of SBELTS to variation in rainfall was evaluated by predicting yields for 3.8 m tall and 7.6 m tall shelterbelts in wet, normal, and dry years. Results showed no shelterbelt influence in wet years, some influence in normal years, and a sizable influence in dry years. Results showed that the 7.6 m shelterbelt had more influence than the 3.8 m shelterbelt. Although SBELTS has limited use, it is the first step in the development of more advanced models that will be able to simulate production of soybeans and other crops under the influence of shelterbelts on a variety of soil types.This revised version was published online in November 2005 with corrections to the Cover Date.     

东北平原农田防护林规格的研究

东北平原农田防护林已经形成了比较完整的林网体系。本研究分析了农田防护林网全方位的防风作用、防霜作用以及林网内的综合气候效益场。在林网内,全方位防风效能大于10%的区域为防护效益区。作物产量和质量分析表明,林网的防护范围为25倍树高。根据高生长分析确定了构成农田防护林主要杨树品种的成林高度。根据综合分析确定适宜农田防护林网的规格为400m×400m。图7表3参11。     

Biomass production,carbon sequestration and nutrient characteristics of 22-year-old support trees in black pepper (<Emphasis Type="Italic">Piper nigrum</Emphasis>. L) production systems in Kerala,India

Diverse kinds of fast growing multipurpose trees are traditionally grown as support trees (standards) for trailing black pepper vines in the humid tropics of India. Apart from differential black pepper yields, such trees exhibit considerable variability to accumulate biomass, carbon and nutrients. An attempt was made to assess the biomass production, carbon sequestration potential (tree + soil) and nutrient stocks of six multipurpose tree species (age: 22 years) used for trailing black pepper vines (Acacia auriculiformis, Artocarpus heterophyllus, Grevillea robusta, Macaranga peltata, Ailanthus triphysa and Casuarina equisetifolia). Results indicate that G. robusta showed the highest total biomass production (365.72 Mg ha^?1), with A. triphysa having the least value (155.13 Mg ha^?1). Biomass allocation among tissue types followed the order stemwood > roots > branchwood > twigs > leaves. Total C stocks were also highest for G. robusta (169 Mg C ha^?1), followed by A. auriculiformis (155 Mg C ha^?1). Mean annual carbon increment also followed a similar trend. Among the various tissue fractions, stemwood accounted for the highest N, P and K stocks, implying the potential for nutrient export from the site through wood harvest. All the support trees showed significantly higher soil carbon content compared to the treeless control. Soil N, P and K contents were higher under A. auriculiformis than other species. Nitrogen fixation potential, successional stage of the species, stand age and tree management practices such as lopping may modify the biomass allocation patterns and system productivity.     

A method to estimate the structural parameters of windbreaks using remote sensing

Windbreaks are a major component of agroforestry practices and play an important role in agroforestry ecosystems. They can reduce wind velocity and protect shelter crops from wind damage and soil from wind erosion. Porosity is one of the most important structural parameters that affect wind speed and is widely used in the study of wind protection provided by windbreaks. In this paper, a method to estimate porosity using high-resolution satellite imagery is represented. Porosity was difficult to estimate through the direct use of remote sensing data due to the poor relationship with vegetation indices. Thus, two intermediate variables, that is, CL ² × LAI and CL × LAI × W, which were highly related to porosity, were selected. Leaf area index (LAI) and average tree crown length (CL) were estimated using vegetation indices, and W, which refers to the width of a windbreak, was identified using object-based image analysis. Porosity was estimated using a statistical relationship between porosity and intermediate variables. The average prediction accuracy of the estimated porosity value was 76.104 %. Based on the estimated porosity value, the windbreaks were grouped into three types, and their efficiency of wind protection was evaluated. The evaluation result indicated that the windbreaks have a very good protective structure in the study area and they can effectively shelter crops from wind damage and erosion. This study can provide a useful guide for studying the wind protection provided by windbreaks on spatial and temporal scales using remote sensing.     

Dynamics of soil-derived greenhouse gas emissions from shelterbelts under elevated soil moisture conditions in a semi-arid prairie environment

Soil moisture is known to be a major control of greenhouse gas (GHG) emissions from agricultural soils. However, there is little data regarding GHG exchange from the organic matter-rich soils characteristic of shelterbelts—especially under elevated soil moisture conditions. In the present study, we quantified CO₂, CH₄ and N₂O fluxes from shelterbelts under elevated soil moisture (irrigated) and semi-arid (rainfed) conditions. Studies were carried out at the Canada-Saskatchewan Irrigation Diversification Centre (CSIDC) near Outlook, Saskatchewan. Non-steady state vented chambers were used to monitor soil GHG fluxes from three shelterbelts in 2013 and 2014. The shelterbelts consisted of a single row of caragana with a north–south orientation and a single row of Scots pine with either a north–south or east–west orientation. Each shelterbelt was divided into two areas based on whether or not it received irrigation. During the 2-year study period, N₂O emissions from the irrigated shelterbelts (IR-SB) (0.93 kg N₂O-N ha^?1) were significantly greater than those from the rainfed shelterbelts (RF-SB) (0.49 kg N₂O-N ha^?1). Soil CH₄ oxidation was significantly lower in the IR-SB compared to the RF-SB (?0.85 and ?1.20 kg CH₄-C ha^?1, respectively). Irrigation activities stimulated CO₂ production/emission in 2014, but had no effect on CO₂ emissions during the much drier 2013 season. Correlation analyses indicate a strong dependence of CO₂ and CH₄ fluxes on soil moisture in both IR-SB and RF-SB sites. There was a significant relationship between N₂O emissions and soil moisture for the IR-SB sites in 2013; however, no such relationship was observed in either the IR-SB or RF-SB sites in 2014. Our study suggests that changes in precipitation patterns and soil moisture regime due to climate change could affect soil-atmosphere exchange of GHGs in shelterbelts; however, elevated soil moisture effect on GHG emissions will depend on the availability of N and C in the shelterbelts.     

Allometric relationships of frequently used shade tree species in cacao agroforestry systems in Sulawesi, Indonesia

Shade trees play an important role within agroforestry systems by influencing radiation and wind regimes as well as nutrient and hydrological cycling. However, there is a lack of quantitative assessments of their functions. One of the reasons is the rare information on structural characteristics of shade tree species. Therefore, the aim of this study is to provide basic information on the structure of frequently used shade tree species for the implementation of models simulating the ecosystem processes in agroforestry systems. The investigation of the shade trees was conducted at two cacao agroforestry sites on Sulawesi, Indonesia. The measurements of the main structural parameters: diameter at breast height, tree height, trunk height, crown length and crown radius were carried out for the shade tree species Aleurites moluccana, Cocos nucifera and Gliricidia sepium. For data collection, the National Forest Inventory Field Manual Template by FAO (2004) was applied. Based on this information allometric functions were derived for the correspondent shade tree species. The best significant relationships were obtained for the height-crown length relationship of the dicotyledonous tree species’ A. moluccana and G. sepium with a coefficient of determination r² = 0.925 and r² = 0.738, respectively, and the height-crown length relationship of the monocotyledonous palm C. nucifera with r² = 0.663. The transferability tests ‘analysis of covariance’ and ‘homogeneity of slopes’ have shown that the obtained allometric functions are also applicable to other cacao agroforestry systems of the region.     

Remote estimation of shelterbelt width from SPOT5 imagery

Width is one of the key parameters of a shelterbelt. Traditional methods to acquire this width are mainly based on field measurement, which is impractical for monitoring shelterbelts at regional scale. There are many studies analyzing linear objects, but they are not directly applicable to width detection of such objects. In this paper, we analyzed relationships among vegetation fractions retrieved from SPOT5 remote sensing imagery with 10 m × 10 m spatial resolution, shelterbelt area, and shelterbelt width in one pixel. Based on this analysis, we developed a method for recognizing shelterbelt width from a remote sensing image of central western Jilin Province, China. The result was validated by field measurement data and measurement from an aerial image of 0.5 m × 0.5 m spatial resolution. Mean absolute error was 2.40 and 2.73 m respectively, suggesting that the proposed method is feasible and its accuracy is acceptable. The study provides a valuable method for monitoring shelterbelt width across large spatial scales and an accurate input parameter for the recognition of shelterbelt porosity from remote sensing data in future research.     

Casuarina Coastal Forest Shelterbelts in Hambantota City, Sri Lanka: Assessment of Impacts

Growing of Casuarina equisetifolia as a small shelterbelt on the beach in Hambantotota City was implemented to protect the beautiful natural sand dunes, preserve visual amenity and be a barrier to seawater salt spray. The casuarina shelterbelt has become popular because it was the only undamaged area in Hambantota City after the devastating 2004 tsunami. The objective of the study was to assess the impacts of the casuarina shelterbelt in economic, social and environmental terms. A survey was conducted to elicit observations and experiences of city dwellers close to the shelterbelt. Respondents did not consider that the shelterbelt reduced wind speed. Although the belt has increased the size of the sand dunes, the casuarina trees have suppressed the growth of native species as an under-storey. The belt has improved the aesthetic value of the beach. No impact of the shelterbelt has been identified in protecting agricultural crops and reducing the corrosion of household goods from seawater salt spray. The city dwellers have not recognized the economic importance of casuarina timber but are impressed with the increase of fuelwood supply from the shelterbelt. The shelterbelt has prevented illegal settlement, but facilitated anti-social and illegal activities among lawless city dwellers. The attractiveness of the beach for tourism has been enhanced. Empirical evidence reveals that the casuarina belt in Hambantota City has greater environmental and social impacts than economic impacts.     

海岸带木麻黄林生态系统过程与可持续管理

木麻黄为我国东南沿海防护林体系的主栽树种,如何维持和提高其环境调控功能成为当前沿海防护林经营的重要科学问题。文中概述了海岸带木麻黄林生态系统的物质循环、能量流动和防护功能以及育林措施对森林生态系统的影响等国内外研究成果,指出木麻黄人工林具有生产力高、光能利用率高和适应性强的特点;在探讨干扰与木麻黄林生态系统退化之间关系的基础上,提出加强木麻黄海岸防护林的恢复重建与生态系统管理等建议。     

影响农田防护林防风效益的主导因子探讨

通过对半干旱风沙区单林带、林网、林农间作、片林等不同类型农田防护林结构和防风效益的调查研究,提出了疏透度、林带间距、树高与林带宽度的比值、单位面积树冠体积分别是影响各类防护林防风效益的主导因子,确定了单林带最佳结构时的疏透度为０．３,有效防风距离为树高的１３．８倍。     

Recognition of shelterbelt continuity using remote sensing and waveform recognition

Shelterbelt systems play an important and long-term role in ecological stability and food security. Today, shelterbelts are threatened by anthropogenic destruction, plant diseases, and insect pests. Determining the continuity of shelterbelts is essential for the management and maintenance of complete and stable shelterbelt systems. In this paper, we acquired SPOT 5 images with a 10 m × 10 m spatial resolution, and, based on a GIS method, we generated belt waveforms using a waveform data collector. We then developed a waveform recognition model for belt continuity based on waveform recognition theory. Finally, we identified a minimum threshold value for the identification of belt gaps, and conducted belt continuity recognition in the study area. The results were compared with data calculated from aerial images with a 0.5 m × 0.5 m spatial resolution. When belt gaps were <10 m, recognition was poor, but when belt gaps were between 10 and 20 m, the mean absolute error was 3.8 %, and when belt gaps were >20 m, the mean absolute error was 2.7 %. We propose that this method provides a powerful new tool for the investigation and management of shelterbelt systems.     

Allometric equations for aboveground biomass estimation by size class for Pinus brutia Ten. trees growing in North and South Aegean Islands, Greece

Empirical allometric equations relating biomass of aboveground components to dendrometric variables for Pinus brutia Ten. trees are derived in this paper. They are based on data collected from Lesvos (North Aegean Sea) and Crete (South Aegean Sea) Islands. Comparisons to published equations for the same species growing in northwestern and southeastern Turkey, for Pinus nigra A. growing in Turkey and Pinus halepensis Mill. found in Western Aegean (island of Evia), are also presented. The biomass of branches from destructively sampled trees (twelve in Crete and six in Lesvos) was divided into four size classes (0?C0.63 cm, 0.64?C2.5 cm, 2.51?C7.61 cm, and 7.62?C22.8 cm). Tree crown biomass was calculated as the sum of the biomass in the four classes plus the fraction of stem above crown base. Over bark stem biomass was estimated through bole volume conversion based on wood density. The results showed clearly that, for a given diameter, the Cretan trees had more crown biomass and a higher share of small branches than trees on Lesvos, probably due to differences in environment and stand structure. Comparisons to published diameter versus crown biomass equations reveal a lower crown biomass for Turkish sites of Calabrian pine and Aleppo pine on Evia Island, while only Turkish Black pine seems to be comparable to the Calabrian pine on Crete. The derived allometries can be used for landscape fire behavior modeling, for ecophysiological studies and for the Kyoto protocol requirements of carbon changes in Pinus brutia Ten. forests located in northern and southern Greek sites.     

Acacia nilotica-based silvipastoral systems for resource conservation and improved productivity from degraded lands of the Lower Himalayas

High population density and unscientific land use practices have induced severe land degradation in the fragile Lower Himalayan ecosystem of India. Land cover management has been an effective strategy in managing land degradation through the reduction of water, soil and nutrient losses and improvement in soil fertility and quality. Acacia nilotica (Acacia)-based silvipastoral systems with five intercrops, viz., Eulaliopsis binata (bhabbar), Saccharum munja (munj), Vetiveria zizanioides (vetiver), natural grasses and no grass, were evaluated in a long-term study in degraded bouldery lands in Haryana state of India. All grasses resulted in a reduction of soil, water and nutrient losses and improved microbial properties. However, their association adversely affected the growth of Acacia, and the decline varied with grass species. After 11 years of establishment, sole Acacia plantation had the maximum height (7.58 m), diameter at breast height (dbh) (21.32 cm) and crown spread (7.41 m). Munj produced the highest biomass under Acacia, but most adversely affected its growth, resulting in minimum survival (48 %), height (7.07 m), dbh (16.23 cm) and crown spread (6.57 m). Yield of all the grasses increased during the initial 5–6 years, but declined sharply thereafter, with the maximum decline in bhabbar. Detailed investigations established that the sharp decline in survival and growth of bhabbar was due to shade and not because of nutrient competition or allelopathy. Acacia + V. zizanioides proved the most effective silvipastoral system for resource conservation and biomass production. It also provided the highest NPV (Rs 1.88 lakhs ha^?1), B:C (2.37) and IRR (24.70 %) as compared to Rs 6,998 ha^?1, 1.05 and 8.76 % under pure Acacia plantation, respectively.     

多纹豹蠹蛾的研究

多纹豹蠹蛾在福建省一年一代,以幼虫在树干基部蛀道中越冬,幼虫19龄,历期313—321d,每树大多仅有一条幼虫和一个排粪孔;6月中旬为羽化高峰期,成虫具趋光性;7月上、中旬为孵化盛期。受害植物已知 20种,以木麻黄为主,被害株率最高达82％。可选用湿地松、柠檬桉为木麻黄的混交树种;杜绝带虫苗木造林;幼虫蛀入期对排粪孔喷注白僵菌,害虫死亡率86.7—98.3％,幼虫未蛀入时对嫩枝小喷溴菊酯或氧化乐果液剂,均可收到良好的防治效果。     

Canopy conductance and stand transpiration of <Emphasis Type="Italic">Populus simonii Carr</Emphasis> in response to soil and atmospheric water deficits in farmland shelterbelt,Northwest China

Populus simonii Carr trees are the most abundant species in Xinjiang farmland shelterbelt. They played an important role in protecting farmland ecosystem. Their stand transpiration rates and canopy conductances ranged from 0.14 to 1.02 cm d^?1 and from 1.19*10^?3 to 8.99*10^?5 m s^?1, respectively, during the 2014 growing season. Transpiration rate was showed quadratic polynomial regression with vapor pressure deficit (VPD) and air temperature (T), and exponential relationship with solar radiation (R_n). Furthermore, transpiration peaked at VPD, T, and Rn were 2.1 kPa, 23 °C, and 200 W m^?2, respectively. Canopy conductance increased exponentially with the increasing R_n, whereas decreased logarithmically with the increasing VPD. Besides, transpiration increased with the increasing T and VPD ,and decreased sharply with the increasing soil water deficit. Finally, canopy conductance increased with the decreasing atmospheric water deficit. These results are not only providing the basis for more detailed analyses of water physiology and growth of Populus simonii Carr trees for the later application of a climate-driven process model, but also might have implications for farmland shelterbelt management.     

Stand structure,phenology and litterfall dynamics of a subtropical mangrove <Emphasis Type="Italic">Bruguiera gymnorrhiza</Emphasis>

We evaluated the phenology and litterfall dynamics of the mangrove Bruguiera gymnorrhiza (L.) Lamk along the Okukubi River, Okinawa Island, Japan. Over 3 years, this species showed the highest litterfall of leaves and stipules in summer and the lowest litterfall in winter. From Kendall’s coefficient of concordance, the monthly changes in leaf, stipule, and branch were strongly and significantly concordant among years. Leaf and stipule litterfall could be governed by monthly maximum wind speed, monthly day length, and monthly mean air temperature. Branch litterfall depended on monthly maximum wind speed and monthly rainfall, and increased exponentially with increasing monthly maximum wind speed. Mean total litterfall was 11.8 Mg ha^?1 yr^?1, with the largest component being leaf litterfall (65.8 %). Annual leaf litterfall per plot was almost constant regardless of the tree density of the plot. Mean leaf longevity was 18 months. Flower and mature propagule litterfall might be influenced by monthly mean air temperature, monthly day length and monthly mean air temperature. The average development periods from flower buds to flowers and flower buds to mature propagules were 1 and 8 months, respectively. Except for leaf and branch, all vegetative and reproductive organ litterfall had clear annual cycles. B. gymnorrhiza showed a positive correlation between leaf production and reproductive organ production.