Effects of aspect and altitude on carbon cycling processes in a temperate mountain forest catchment

Context

Varying altitudes and aspects within small distances are typically found in mountainous areas. Such a complex topography complicates the accurate quantification of forest C dynamics at larger scales.

Objectives

We determined the effects of altitude and aspect on forest C cycling in a typical, mountainous catchment in the Northern Limestone Alps.

Methods

Forest C pools and fluxes were measured along two altitudinal gradients (650–900 m a.s.l.) at south-west (SW) and north-east (NE) facing slopes. Net ecosystem production (NEP) was estimated using a biometric approach combining field measurements of aboveground biomass and soil CO₂ efflux (SR) with allometric functions, root:shoot ratios and empirical SR modeling.

Results

NEP was higher at the SW facing slope (6.60?±?3.01 t C ha^?1  year^?1), when compared to the NE facing slope (4.36?±?2.61 t C ha^?1 year^?1). SR was higher at the SW facing slope too, balancing out any difference in NEP between aspects (NE: 1.30?±?3.23 t C ha^?1 year^?1, SW: 1.65?±?3.34 t C ha^?1 year^?1). Soil organic C stocks significantly decreased with altitude. Forest NPP and NEP did not show clear altitudinal trends within the catchment.

Conclusions

Under current climate conditions, altitude and aspect adversely affect C sequestering and releasing processes, resulting in a relatively uniform forest NEP in the catchment. Hence, including detailed climatic and soil conditions, which are driven by altitude and aspect, will unlikely improve forest NEP estimates at the scale of the studied catchment. In a future climate, however, shifts in temperature and precipitation may disproportionally affect forest C cycling at the southward slopes through increased water limitation.

     

Response of bioenergy landscape patterns and the provision of biodiversity ecosystem services associated with land-use changes in Jinghong County,Southwest China

Context

Dramatic land-use change has taken place in the tropical region of southwestern China. However, quantitative evaluation of changes in landscape sustainability and the provision of biodiversity ecosystem services (BESVs) of the region has seldom been attempted.

Objectives

This study was designed to: (1) assess bioenergy landscape dynamics based on graph theory; (2) predict bioenergy landscape sustainability in response to land-use changes, and (3) explore the effects of land-use changes on BESVs’ variation based on bioenergy modeling.

Methods

The PANDORA model, a bioenergy-based integrated evaluation of BESV related to landscape connectivity, was employed to analyze variations in landscape’s bioenergy and BESV in Jinghong County, southwestern China. In addition, we applied this model and several indices (change extent, change rate, and growth type) to evaluate responses of bioenergy and BESV to land-use changes.

Results

The bioenergy and bioenergy fluxes of the regional landscape have decreased since the 1970s, while the landscape has remained sustainable with a high level of bioenergy. The BESVs overall fluctuated from $8.41 m^?2 year^?1 in the 1970s to $8.54, 7.45, and 5.71 m^?2 year^?1 in 1990, 2000, and 2010, respectively. Further, both changes in the land-use area and patterns, including change extent, change rate, and change pattern, affected the variation in BESVs.

Conclusions

The PANDORA model can evaluate bioenergy dynamics, sustainability, and BESV variations on the landscape scale effectively. Further, the BESV is sensitive to changes in landscape composition and pattern, and thus, increasing natural vegetation and landscape connectivity could improve provisions to conserve the landscape’s biodiversity.

     

Linear downscaling from MODIS to landsat: connecting landscape composition with ecosystem functions

Context

The open and free access to Landsat and MODIS products have greatly promoted scientific investigations on spatiotemporal change in land mosaics and ecosystem functions at landscape to regional scales. Unfortunately, there is a major mismatch in spatial resolution between MODIS products at coarser resolution (≥?250 m) and landscape structure based on classified Landsat scenes at finer resolution (30 m).

Objectives

Based on practical needs for downscaling popular MODIS products at 500 m resolution to match classified land cover at Landsat 30 m resolution, we proposed an innovative modelling approach so that landscape structure and ecosystem functions can be directly studied for their interconnections. As a proof-of-concept of our downscaling approach, we selected the watershed of the Kalamazoo River in southwestern Michigan, USA as the testbed.

Methods

MODIS products for three fundamental variables of ecosystem function are downscaled to ensure the approach can be extrapolated to multiple functional measurements. They are blue-sky albedo (0–1), evapotranspiration (ET, mm), and gross primary production (GPP, Mg C ha^?1 year^?1). An object-oriented classification of Landsat images in 2011 was processed to generate a land cover map for landscape structure. The downscaling model was tested for the five Level IV ecoregions within the watershed.

Results

We achieved satisfactory downscaling models for albedo, ET, and GPP for all five ecoregions. The adjusted R² was?>?0.995 for albedo, 0.915–0.997 for ET, and 0.902–0.962 for GPP. The estimated albedo, ET, and GPP values appear different in the region. The estimated albedo was the lowest for water (0.076–0.107) and the highest for cropland (0.166–0.172). Estimated ET was the highest for the built-up cover type (525.6–687.1 mm) and the lowest for forest (209.7–459.7 mm). The estimated GPP was the highest for the build-up cover type (8.65–9.85 Mg C ha^?1 year^?1) and the lowest for forest.

Conclusions

Estimated values for albedo, ET, and GPP appear reasonable for their ranges in the Kalamazoo River region and are consistent with values reported in the literature. Despite these promising results, the downscaling approach relies on strong assumptions and can carry substantial uncertainty. It is only valid at a spatial scale where similar climate, soil, and landforms exist (i.e., values in isolated patches of the same cover type are similar). Plausibly, the uncertainties associated with each estimation, as well as the model residuals, can be explored for other pattern-process relationships within the landscape.

     

Influence of fire regimes on lodgepole pine stand age and density across the Yellowstone National Park (USA) landscape

A probabilistic spatial model was created based on empirical data to examine the influence of different fire regimes on stand structure of lodgepole pine (Pinus contorta var. latifolia) forests across a >500,000-ha landscape in Yellowstone National Park, Wyoming, USA. We asked how variation in the frequency of large fire events affects (1) the mean and annual variability of age and tree density (defined by postfire sapling density and subsequent stand density) of lodgepole pine stands and (2) the spatial pattern of stand age and density across the landscape. The model incorporates spatial and temporal variation in fire and serotiny in predicting postfire sapling densities of lodgepole pine. Empirical self-thinning and in-filling curves alter initital postfire sapling densities over decades to centuries. In response to a six-fold increase in the probability of large fires (0.003 to 0.018 year⁻¹), mean stand age declined from 291 to 121 years. Mean stand density did not increase appreciably at high elevations (1,029 to 1,249 stems ha⁻¹) where serotiny was low and postfire sapling density was relatively low (1,252 to 2,203 stems ha⁻¹). At low elevations, where prefire serotiny and postfire lodgepole pine density are high, mean stand densities increased from 2,807 to 7,664 stems ha⁻¹. Spatially, the patterns of stand age became more simplified across the landscape, yet patterns of stand density became more complex. In response to more frequent stand replacing fires, very high annual variability in postfire sapling density is expected, with higher means and greater variation in stand density across lodgepole pine landscapes, especially in the few decades following large fires.     

Habitat selection by spotted owls after a megafire reflects their adaptation to historical frequent-fire regimes

Context

Climate and land-use change have led to disturbance regimes in many ecosystems without a historical analog, leading to uncertainty about how species adapted to past conditions will respond to novel post-disturbance landscapes.

Objectives

We examined habitat selection by spotted owls in a post-fire landscape. We tested whether selection or avoidance of severely burned areas could be explained by patch size or configuration, and whether variation in selection among individuals could be explained by differences in habitat availability.

Methods

We applied mixed-effects models to GPS data from 20 spotted owls in the Sierra Nevada, California, USA, with individual owls occupying home ranges spanning a broad range of post-fire conditions after the 2014 King Fire.

Results

Individual spotted owls whose home ranges experienced less severe fire (<?5% of home range severely burned) tended to select severely burned forest, but owls avoided severely burned forest when more of their home range was affected (~ 5–40%). Owls also tended to select severe fire patches that were smaller in size and more complex in shape, and rarely traveled?>?100-m into severe fire patches. Spotted owls avoided areas that had experienced post-fire salvage logging but the interpretation of this effect was nuanced. Owls also avoided areas that were classified as open and/or young forest prior to the fire.

Conclusions

Our results support the hypothesis that spotted owls are adapted to historical fire regimes characterized by small severe fire patches in this region. Shifts in disturbance regimes that produce novel landscape patterns characterized by large, homogeneous patches of high-severity fire may negatively affect this species.

     

Quantifying the spatial relationship between bird species’ distributions and landscape feature boundaries in southern Ontario, Canada

Understanding what features of the landscape affect species distribution is critical to effectively implement conservation strategies. This study investigates how a boundary analysis framework can be used to characterize the spatial association between boundaries (i.e., spatial locations of high rates of change) in bird species?? distributions and landscape features at the regional scale. The study area covers 92,000?km² in southern Ontario (Canada) and extends from the Great Lakes-St. Lawrence biome to the southern Canadian Shield biome. Landcover composition was derived from Ontario Land Cover data (1991?C1998; 7 types) and elevation data were derived from the Canada3D digital elevation model. Bird distributions were estimated using indicator kriging based on point counts obtained from the Ontario Breeding Bird Atlas data (2001?C2005; 60 species). Boundaries were delineated for both data types using a 10?×?10?km cell resolution. Spatial boundary overlap statistics were used to quantify the spatial relationship between landscape features and bird boundaries and tested using a randomization procedure. There was significant positive association and spatial overlap between delineated landscape feature boundaries and bird boundaries. The number of spatially overlapping cells between the two boundary types was 67 out of 164 (41?%) and 76?% of cells were within 11.42?km of each other. These results were statistically significant (P?<?0.001) and suggest a strong spatial relationship between high rates of change in landscape features and bird species?? distributions at the regional scale. A boundary analysis framework could be used to identify boundary shifts in response to climate change and anticipate changes in species distributions.     

Wetlands, carbon, and climate change

Wetland ecosystems provide an optimum natural environment for the sequestration and long-term storage of carbon dioxide (CO₂) from the atmosphere, yet are natural sources of greenhouse gases emissions, especially methane. We illustrate that most wetlands, when carbon sequestration is compared to methane emissions, do not have 25 times more CO₂ sequestration than methane emissions; therefore, to many landscape managers and non specialists, most wetlands would be considered by some to be sources of climate warming or net radiative forcing. We show by dynamic modeling of carbon flux results from seven detailed studies by us of temperate and tropical wetlands and from 14 other wetland studies by others that methane emissions become unimportant within 300 years compared to carbon sequestration in wetlands. Within that time frame or less, most wetlands become both net carbon and radiative sinks. Furthermore, we estimate that the world’s wetlands, despite being only about 5–8 % of the terrestrial landscape, may currently be net carbon sinks of about 830 Tg/year of carbon with an average of 118 g-C m^?2 year^?1 of net carbon retention. Most of that carbon retention occurs in tropical/subtropical wetlands. We demonstrate that almost all wetlands are net radiative sinks when balancing carbon sequestration and methane emissions and conclude that wetlands can be created and restored to provide C sequestration and other ecosystem services without great concern of creating net radiative sources on the climate due to methane emissions.     

Modeling impacts of fire severity on successional trajectories and future fire behavior in Alaskan boreal forests

Much of the boreal forest in western North America and Alaska experiences frequent, stand-replacing wildfires. Secondary succession after fire initiates most forest stands and variations in fire characteristics can have strong effects on pathways of succession. Variations in surface fire severity that influence whether regenerating forests are dominated by coniferous or deciduous species can feedback to influence future fire behaviour because of differences in forest flammability. We used a landscape model of fire and forest dynamics to explore the effects of different scenarios of surface fire severity on subsequent forest succession and potential fire activity in interior Alaska. Model simulations indicated that high levels of surface fire severity leading to a prolonged phase of deciduous forest dominance caused a reduction in landscape flammability and fewer large fire events. Under low surface fire severity, larger patches of contiguous conifer forest promoted fire spread and resulted in landscapes with shorter fire return intervals compared to scenarios of high surface severity. Nevertheless, these negative feedbacks between fire severity, deciduous forest cover, and landscape flammability were unable to fully compensate for greater fire activity under scenarios of severe climate warming. Model simulations suggest that the effects of climate warming on fire activity in Alaska’s boreal forests may be partially but not completely mitigated by changes in fire severity that alter landscape patterns of forest composition and subsequent fire behaviour.     

Historical patterns of fire severity and forest structure and composition in a landscape structured by frequent large fires: Pumice Plateau ecoregion,Oregon, USA

Context

Lack of quantitative observations of extent, frequency, and severity of large historical fires constrains awareness of departure of contemporary conditions from those that demonstrated resistance and resilience to frequent fire and recurring drought.

Objectives

Compare historical and contemporary fire and forest conditions for a dry forest landscape with few barriers to fire spread.

Methods

Quantify differences in (1) historical (1700–1918) and contemporary (1985–2015) fire extent, fire rotation, and stand-replacing fire and (2) historical (1914–1924) and contemporary (2012) forest structure and composition. Data include 85,750-ha tree-ring reconstruction of fire frequency and extent; >?375,000-ha timber inventory following >?78,900-ha fires in 1918; and remotely-sensed maps of contemporary fire effects and forest conditions.

Results

Historically, fires?>?20,000 ha occurred every 9.5 years; fire rotation was 14.9 years; seven fires?>?40,469 ha occurred during extreme drought (PDSI <?? 4.0); and stand-replacing fire occurred primarily in lodgepole (Pinus contorta var. murrayana). In contemporary fires, only 5% of the ecoregion burned in 30 years, and stand-replacing fire occurred primarily in ponderosa (Pinus ponderosa) and mixed-conifer. Historically, density of conifers?>?15 cm dbh exceeded 120 trees/ha on?<?5% of the area compared to 95% currently.

Conclusions

Frequent, large, low-severity fires historically maintained open-canopy ponderosa and mixed-conifer forests in which large fire- and drought-tolerant trees were prevalent. Stand-replacing patches in ponderosa and mixed-conifer were rare, even in fires >?40,469 ha (minimum size of contemporary “megafires”) during extreme drought. In this frequent-fire landscape, mixed-severity fire historically influenced lodgepole and adjacent forests. Lack of large, frequent, low-severity fires degrades contemporary forest ecosystems.

     

Analysis of greenhouse gas emissions from ornamental plant production: A nursery level approach

The focus of the work is to define a methodology to evaluate greenhouse gas (GHG) emissions for the nursery industry, comparing two different plant production systems (field- and container-grown plants) and assessing different scenarios for the reduction of the emissions. The Life Cycle Assessment (LCA) methodology, with the “from cradle to gate” approach, was used. The analysis revealed that the total emission of CO₂eq is higher in container cultivations than in field cultivations, with emissions ranging between 26.1 and 34.7 Mg ha^?1 year^?1 for the former, and between 2.3 and 6.6 Mg ha^?1 year^?1 for the latter; greenhouse horticultural crops emit 2.2–10.3 Mg ha^?1 year^?1 of CO₂eq and arable crop emissions were measured as 6.2 Mg ha^?1 year^?1 of CO₂eq.Different scenarios for the reduction of GHG emission were tested and a 15.5% reduction of GHG emission was achieved. Two of the scenarios applied – 50% recycled water usage (scenario 1) and 10% of green waste recovery for substrates (scenario 3) – are already in use in nursery farms.     

Spatial scaling of wildland fuels for six forest and rangeland ecosystems of the northern Rocky Mountains, USA

Wildland fuels are important to fire managers because they can be manipulated to achieve management goals, such as restoring ecosystems, decreasing fire intensity, minimizing plant mortality, and reducing erosion. However, it is difficult to accurately measure, describe, and map wildland fuels because of the great variability of wildland fuelbed properties over space and time. Few have quantified the scale of this variability across space to understand its effect on fire spread, burning intensity, and ecological effects. This study investigated the spatial variability of loading (biomass) across major surface and canopy fuel components in low elevation northern Rocky Mountain forest and rangeland ecosystems to determine the inherent scale of surface fuel and canopy fuel distributions. Biomass loadings (kg?m^?2) were measured for seven surface fuel components??four downed dead woody fuel size classes (0?C6?mm, 6?C25?mm, 25?C75?mm, and 75?+?mm), duff plus litter, shrub, and herb??using a spatially nested plot sampling design within a 1?km² square sampling grid installed at six sites in the northern US Rocky Mountains. Bulk density, biomass, and cover of the forest canopy were also measured for each plot in the grid. Surface fuel loadings were estimated using a combination of photoload and destructive collection methods at many distances within the grid. We quantified spatial variability of fuel component loading using spatial variograms, and found that each fuel component had its own inherent scale with fine fuels varying at scales of 1?C5?m, coarse fuels at 10?C150?m, and canopy fuels from 100 to 500?m. Using regression analyses, we computed a scaling factor of 4.6?m for fuel particle diameter (4.6?m increase in scale with each cm increase in particle diameter). Findings from this study can be used to design fuel sampling projects, classify fuelbeds, and map fuel characteristics, such as loading, to account for the inherent scale of fuel distributions to get more accurate fuel loading estimations.     

Effects of N and K on growth,herbage, oil yield and nutrient uptake patterns in rosemary (Rosmarinus officinalis L.) under semi-arid tropical conditions

Summary

Essential oil of rosemary (Rosmarinus officinalis L.) possesses good olfactory properties and is suitable for use in perfumes, soaps and fragrances. Field experiments were conducted over 2 years (2003-2005) in an area experiencing a semi-arid tropical climate, to study the influence of two N levels (150 or 300 kg N ha^–1 year^–1) and three K levels (41.5, 83.0 or 124.5 kg K ha^–1 year^–1), or no fertiliser, on the growth, herbage and oil yields and nutrient uptake patterns of rosemary. The results showed that application of 300 kg N ha^–1 year^–1 produced higher herbage and oil yields in rosemary, compared with 150 or 0 kg N ha^–1 year^–1. The application of 83.0 kg K ha^–1 year^–1 produced maximum herbage and oil yields, compared with 0 or 41.5 kg K ha^–1 year^–1. Total N and K uptake levels were increased significantly by the application of N and K. Nitrogen uptake increased by 85.2% and 137.7%, and K by 80.9% and 123.9%, respectively, with the application of 150 or 300 kg N ha^–1 compared to controls (no N). Similarly, N uptake increased by 96.1%, 130.2% and 113.6%, and K by 79%, 124.3% and 110.4%, respectively, with the application of 41.5, 83.0, or 124.5 kg K ha^–1 compared to controls (no K). Oil content and oil composition were not influenced by nitrogen or potassium levels.     

Predictors of bark beetle activity and scale-dependent spatial heterogeneity change during the course of an outbreak in a subalpine forest

Climate conditions and forest structure interact to determine the extent and severity of bark beetle outbreaks, yet the relative importance of each may vary though the course of an outbreak. In 2008, we conducted field surveys and reconstructed forest conditions at multiple stages within a recent mountain pine beetle (MPB) outbreak in Rocky Mountain National Park, Colorado. At each stage in the outbreak, we examined changes in (1) lodgepole pine mortality and surviving stand structure, (2) the influence of topographic versus stand structure variables on mortality rates, and (3) stand complexity and landscape heterogeneity. Lodgepole pine mortality reduced basal area by 71 %, but only 47 % of stems were killed. Relative to pre-outbreak stands, surviving stands had lower mean dbh (11.0 vs. 17.4 cm), lower basal area (8.5 vs. 29.3 m² ha^?1), lower density (915 vs. 1,393 stems ha^?1), and higher proportions of non-host species (23.1 vs. 10.6 % m² ha^?1). Factors predicting mortality rates changed through the course of the outbreak. Tree mortality during the early stage of the outbreak was associated with warm, dry sites and abundant large trees. During the middle and late stages, mortality was associated with stand structure alone. Stand complexity increased, as defined by stand-scale variability in density, basal area, and the proportion of susceptible trees. Landscape heterogeneity decreased according to semi-variograms of tree diameter and basal area. Increased stand complexity may inhibit future MPB population development, but decreased landscape heterogeneity may facilitate outbreak spread across the landscape if a future outbreak were to irrupt.     

Bending the carbon curve: fire management for carbon resilience under climate change

Context

Forest landscapes are increasingly managed for fire resilience, particularly in the western US which has recently experienced drought and widespread, high-severity wildfires. Fuel reduction treatments have been effective where fires coincide with treated areas. Fuel treatments also have the potential to reduce drought-mortality if tree density is uncharacteristically high, and to increase long-term carbon storage by reducing high-severity fire probability.

Objective

Assess whether fuel treatments reduce fire intensity and spread and increase carbon storage under climate change.

Methods

We used a simulation modeling approach that couples a landscape model of forest disturbance and succession with an ecosystem model of carbon dynamics (Century), to quantify the interacting effects of climate change, fuel treatments and wildfire for carbon storage potential in a mixed-conifer forest in the western USA.

Results

Our results suggest that fuel treatments have the potential to ‘bend the C curve’, maintaining carbon resilience despite climate change and climate-related changes to the fire regime. Simulated fuel treatments resulted in reduced fire spread and severity. There was partial compensation of C lost during fuel treatments with increased growth of residual stock due to greater available soil water, as well as a shift in species composition to more drought- and fire-tolerant Pinus jeffreyi at the expense of shade-tolerant, fire-susceptible Abies concolor.

Conclusions

Forest resilience to global change can be achieved through management that reduces drought stress and supports the establishment and dominance of tree species that are more fire- and drought-resistant, however, achieving a net C gain from fuel treatments may take decades.

     

Energy Input-Output Analysis in Organic Mulberry (<Emphasis Type="Italic">Morus spp.</Emphasis>) Production in Turkey: a Case Study Adiyaman-Tut Region

The goal of this study is to do the energy input-output analysis of organic mulberry. This study was conducted at the organic mulberry producing facilities during the 2015–2016 production seasons in Adiyaman-Tut region of Turkey. The agricultural input energies and output energies used in organic mulberry production were computed to determine the energy input-output analysis. According to the research findings, the energy inputs in organic mulberry production were computed respectively as 3948?MJ ha^?1 (59.01%) drip and sprinkler irrigation energy, 1092.42?MJ ha^?1 (16.33%) gravity irrigation energy, 449.33?MJ ha^?1 (6.72%) diesel fuel energy, 416.52?MJ ha^?1 (6.23%) farmyard manure energy, 335.14?MJ ha^?1 (5.01%) human labour energy, 253.52?MJ ha^?1 (3.79%) machinery energy, 93.12?MJ ha^?1 (1.39%) transportation energy, 75.78 MJ ha^?1 (1.13%) animal labour energy and 26.62?MJ ha^?1 (0.40%) organic fertilizer energy. Total input energy was computed as 6690.46?MJ ha^?1. Production output organic mulberry yield were calculated as 37,627.84?MJ ha^?1. The energy output/input ratio, specific energy, energy productivity and net energy computations were computed respectively as 5.62, 1.51?MJ kg^?1, 0.66?kg MJ^?1 and 30,937.37?MJ ha^?1. The consumed total energy input in organic mulberry production could be classified as 88.20% direct, 11.80% indirect, 88.10% renewable and 11.90% non-renewable.     

Landscapes as continuous entities: forest disturbance and recovery in the Albertine Rift landscape

Kibale National Park, within the Albertine Rift, is known for its rich biodiversity. High human population density and agricultural conversion in the surrounding landscape have created enormous resource pressure on forest fragments outside the park. Kibale presents a complex protected forest landscape comprising intact forest inside the park, logged areas inside the park, a game corridor with degraded forest, and forest fragments in the landscape surrounding the park. To explore the effect of these different levels of forest management and protection over time, we assessed forest change over the previous three decades, using both discrete and continuous data analyses of satellite imagery. Park boundaries have remained fairly intact and forest cover has been maintained or increased inside the park, while there has been a high level of deforestation in the landscape surrounding the park. While absolute changes in land cover are important changes in vegetation productivity, within land cover classes are often more telling of longer term changes and future directions of change. The park has lower Normalized Difference Vegetation Index (NDVI) values than the forest fragments outside the park and the formerly logged area—probably due to forest regeneration and early succession stage. The corridor region has lower productivity, which is surprising given this is also a newer regrowth region and so should be similar to the logged and forest fragments. Overall, concern can be raised for the future trajectory of this park. Although forest cover has been maintained, forest health may be an issue, which for future management, climate change, biodiversity, and increased human pressure may signify troubling signs.     

Determination of Energy Input-Output Analysis in Plum (<Emphasis Type="Italic">Prunus domestica</Emphasis> L.) Production

The aim of this research is to compose the energy input-output analysis of plum in Nevsehir province in Turkey. This research was conducted at the plum cultivating facilities during the 2015–2016 production seasons in Nevsehir province of Central Anatolian Region in Turkey. The agricultural input energies and output energies used in plum cultivation were calculated to determine the energy input-output analysis. According to the research findings, the energy inputs in plum cultivation were calculated respectively 3920?MJ ha^?1 (44.99%) chemical fertilizers energy, 1618.91?MJ ha^?1 (18.58%) diesel fuel energy, 1125.85?MJ ha^?1 (12.92%) chemicals energy, 1069.20?MJ ha^?1 (12.27%) machinery energy, 723.24?MJ ha^?1 (8.30%) human labour energy and 255?MJ ha^?1 (2.93%) irrigation water energy. Production output plum yield were calculated as 12,112.50?MJ ha^?1. The energy output/input ratio, specific energy, energy usage efficiency and net energy calculations were calculated respectively as 1.39, 1.37?MJ kg^?1, 0.73?kg MJ^?1 and 3400.30?MJ ha^?1.     

Land cover influences boreal-forest fire responses to climate change: geospatial analysis of historical records from Alaska

Context

Wildfire activity in boreal forests is projected to increase dramatically in response to anthropogenic climate change. By altering the spatial arrangement of fuels, land-cover configuration may interact with climate change to influence fire-regime dynamics at landscape and regional scales.

Objectives

We evaluate how land cover interacts with weather conditions to influence boreal-forest burning from 2012 to 2014 in Alaska.

Methods

Using geospatial fire and land-cover data, we quantify relationships between area burned and land cover, and test whether observed patterns of burning differ from random under varying weather conditions and fire sizes.

Results

Mean summer moisture index was correlated with annual area burned (ρ = ?0.78, p < 0.01), the total number of fires (ρ = ?0.68, p = 0.01), and the number of large fires (>500 km²; ρ = ?0.58, p = 0.04). Area burned was related positively to percent cover of coniferous forest and woody wetlands, and negatively to percent cover of shrub scrub, dwarf scrub, and open water and barren areas. Fires preferentially burned coniferous forest, which represented 50.1 % of the area burned in warmer/drier summers and 40.3 % of area burned in cooler/wetter summers, compared to the 34.5 % (±4.2 %) expected by random selection of land-cover classes. Overall vegetation tended to burn more similarly to random in warmer/drier than cooler/wetter years.

Conclusions

Land cover exerted greater influences on boreal fire regimes when weather conditions were less favorable for forest burning. Reliable projections of boreal fire-regime change thus require consideration of the interactions between climate and land cover, as well as feedbacks from land-cover change.

     

Fertigation Effects on Productivity,and Soil and Plant Nutrition of Coconut (Cocos nucifera L.) in the Eastern Indo-Gangetic Plains of South Asia

Fertigation has the potential to reduce extra chemical load by improving nutrient and water use efficiency of coconut (Cocos nucifera L.), but studies demonstrating the fertilizer reduction through drip irrigation in comparison to conventional ring basin method are rare in the Eastern Indo-Gangetic Plains (IGP) of South Asia. A long-term field experiment was conducted during 2007–2013 in West Bengal, India, to study the effect of fertigation on coconut var. DXT. The experiment was laid out in a randomised complete block design (RCBD) with six treatments (control – no fertilizers and water applied with drip irrigation; 25%, 50%, 75% and 100% of the recommended dose of fertilizer (RDF), each applied with drip irrigation; and 100% of the RDF and water applied with ring basin method of irrigation (i.e., conventional method)). Nuts yield was significantly higher for 75% of RDF (24.44 t ha^?1 year^?1) followed by 100% of RDF, each drip irrigation (23.79 t ha^?1 year^?1) compared to control (21.89 t ha^?1 year^?1). Copra yield was significantly higher for 75% of RDF (3.19 t ha^?1) compared to 100% of RDF (3.12 t ha^?1) and no fertilizer (1.87 t ha^?1). Nitrogen (N), phosphorus (P) and potassium (K) contents of soil increased by 4.9%, 10.4% and 9.4%, respectively, with 75% of RDF applied through drip irrigation. Microbial population showed inverse relationship with amount of fertilizer application. The most water-use efficient fertigation treatment was 75% RDF (13.48 kg copra m^?3) followed by 100% RDF (13.18 kg copra m^?3) with drip irrigation as compared to conventional way soil application of fertilizers through ring basin method of irrigation (4.23 kg copra m^?3). Role of N on yield variability was most prominent by both available soil N status (R² = 0.49**) and leaf N concentration (R² = 0.51**). The study indicated that there is a great scope for reducing the N, P and K fertilizers by up to 25% of the present RDFs for coconut when applied through drip irrigation compared to ring basin method of irrigation for its higher productivity and profitability through efficient use of nutrients and water in the Eastern IGP of South Asia.     

Determination of Energy Use Efficiency and Greenhouse Gas (GHG) Emissions of Pistachio (Pistacia vera L.) Production in Adıyaman Province

The purpose of this research is to perform the energy use efficiency and greenhouse gas (GHG) emissions of pistachio production. This research was performed for 2016 and 2017 production season in Ad?yaman province of Turkey in dry conditions in 2017. The data supplied from research were collected from 152 different farms by face to face surveys with simple random sampling method. The agricultural input energies and output energies used in pistachio production were computed to determine the energy use efficiency. According to the research findings, the energy inputs in pistachio production were computed respectively as 4561.11?MJ ha^?1 (35.50%) diesel fuel energy, 3206.24?MJ ha^?1 (24.96%) chemical fertilizers energy, 2420.93?MJ ha^?1 (18.84%) machinery energy, 1020.06?MJ ha^?1 (7.94%) human labour energy, 715.69?MJ ha^?1 (5.57%) animal labour energy, 656.95?MJ ha^?1 (5.11%) farmyard manure energy and 266.16?MJ ha^?1 (2.07%) chemicals energy. Total input energy was computed as 12,847.14?MJ ha^?1. Energy values of pistachio yield were computed as 15,008.65?MJ ha^?1. Energy use efficiency, specific energy, energy productivity and net energy computations were computed respectively as 1.17, 22.32?MJ kg^?1, 0.04?kg MJ^?1 and 2161.51?MJ ha^?1. The consumed total energy input in pistachio production can be classified as 49.01% direct, 50.99% indirect, 18.62% renewable and 81.38% non-renewable. Total GHG emission was computed as 1123.72?kg CO_2?eqha^?1 for pistachio production with the greatest portions for human labour (32.42%). The human labour followed up chemical fertilizers usage (23.21%), diesel fuel consumption (19.89%), machinery usage (15.30%), farmyard manure usage (5.65%), chemicals usage (3.25%) and animal labour usage (0.27%), respectively. Additionally, GHG ratio value was computed as 1.95 kgCO_2?eqkg^?1 in pistachio production.