Areas Of Native Vegetation Research Articles

PRINCIPLES, PROBLEMS AND PROSPECTS OF IMPLEMENTATION OF ECONOMIC APPROACH TO OPTIMIZATION OF NATURE MANAGEMENT AND NATURE PROTECTION OF PODILLIA REGION

The approaches to the formation of econet relations in Ukraine in the context of the Pan-European strategy for the preservation of biotic and landscape diversity are considered. The basic contradictions in the system of econet relations are highlighted. The essence of the eco-network approach is highlighted on the basis of the materials of the national and regional econet. The polystructurality of econet is noted, their environmental, nature-supporting, and recreational subsystems are analyzed. The identification of the basic elements of the econet should take place against the background of landscape zoning schemes of the territory, so that the natural systems of each landscape region are represented by at least one key territory. Created systems of computer-cartographic models of the Podillya econet and its components; algorithms for multivariate analysis of the NRO and the design of environmental systems of the Podillia region, in which the spatial boundaries of 41 key territories are justified, which will represent the biotic and landscape diversity of 33 landscape areas, areas of connecting territories and their buffer zones. 24 key areas represent landscapes of the zone of deciduous forests; 15 - landscapes of the forest-steppe zone and 2 key territories are confined to the zone of mixed forests. The peculiarities of the eco-network include its complexity and polystructurality with basic nature conservation, nature support and recreational subsystems with a differentiated regime of nature management of the main elements.
 In accordance with the principle of landscape polystructurality, within the territory, it is possible to distinguish landscape territorial structures (LTS) of various types, depending on the structure-forming relations, taken as the basis of this integration. From an environmental point of view, the biocentric-network landscape structure forms the relationship between the areas of natural vegetation (biocenter) and their anthropogenized environment. At the same time, the territorial confinement of biocenters, their compliance with the optimal sizes, functional features, the nature and directions of interrelationships to ensure sustainable functioning were analyzed.
 A complex combination of different-ranked network elements forms spatial polyfunctional storage systems for biotic and landscape diversity. Within the framework of these systems, several types of eco-transforming nodes (EFN) are distinguished: (EFNnl) at the national level, (EFNrl) at the regional level, (EFNll) at the local level. The created schematic map of the biocentric network LTS demonstrates that its elements do not completely cover the territory of the landscape, but form the natural frame of the territory, significantly reduces the probability of population degradation, and reduces the dependence on sharp edaphic changes in individual biocenters. This framework is the basis of the environmental protection and nature-supporting system of the region.
 Key words: eco-network approach, Podillia region, regional eco-network, biocentric-network structure, environmental system.

Effects of sand burial caused by ant nests on soil microbial biomass, basal respiration, and enzyme activity in/under biocrusts in vegetated areas of the Tennger Desert

AbstractSand burial of crusts, caused by ant burrowing, is a common phenomenon in desert landscapes, yet the potential impacts on soil processes are unknown. Three sand burial depths, 3.0–5.0 mm (deep burial), 1.0–1.5 mm (shallow burial), and 0 mm (control) affecting two dominant biocrusts (viz., cyanobacteria‐lichen crusts and moss crusts) sampled in the moist and dry seasons were selected to explore this issue in two vegetation areas of the Tennger Desert. We collected 180 samples from biocrust layers and topsoil to assess soil physicochemical properties, microbial biomass, basal respiration, and enzymes activities. The results showed that sand burial of crusts reduced soil microbial biomass, basal respiration, and enzyme activities, while deep burial caused a substantial decline in these parameters. Sand burial interfered with the biocrusts structure (e.g., rupture and flaking) and properties, subsequently causing soil‐nutrient deprivation and soil microclimate deterioration. These are major mechanisms for decreasing soil microbial biomass, basal respiration, and enzyme activities. Moss crusts had significantly higher levels of the microbial parameters than cyanobacteria‐lichen crusts following sand burial, indicating that biocrusts' tolerance to sand burial was synchronized with their progressive succession. In addition, soil microbial parameters were higher in natural vegetation areas than artificial vegetation areas following sand burial. Such observations suggest that high soil fertility could mitigate the negative effects of sand burial on soil processes. In conclusion, sand burial induces biocrust degradation and further disturbs surface soil processes in arid desert ecosystems.

DETECTION OF DEGRADED ACACIA TREE SPECIES USING DEEP NEURAL NETWORKS ON UAV DRONE IMAGERY

Abstract. Deep-learning-based image classification and object detection has been applied successfully to tree monitoring. However, studies of tree crowns and fallen trees, especially on flood inundated areas, remain largely unexplored. Detection of degraded tree trunks on natural environments such as water, mudflats, and natural vegetated areas is challenging due to the mixed colour image backgrounds. In this paper, Unmanned Aerial Vehicles (UAVs), or drones, with embedded RGB cameras were used to capture the fallen Acacia Xanthophloea trees from six designated plots around Lake Nakuru, Kenya. Motivated by the need to detect fallen trees around the lake, two well-established deep neural networks, i.e. Faster Region-based Convolution Neural Network (Faster R-CNN) and Retina-Net were used for fallen tree detection. A total of 7,590 annotations of three classes on 256×256 image patches were used for this study. Experimental results show the relevance of deep learning in this context, with Retina-Net model achieving 38.9% precision and 57.9% recall.

Co-flowering plants support diverse pollinator populations and facilitate pollinator visitation to sweet cherry crops

Many food crops depend on animal pollination to set fruit. In light of pollinator declines there is growing recognition of the need for agro-ecosystems that can sustain wild pollinator populations, ensuring fruit production and pollinator conservation into the future. One method of supporting resident wild pollinator populations within agricultural landscapes is to encourage and maintain floral diversity. However, pollinator visitation to crop plants can be affected either positively (facilitation) or negatively (competition) by the presence of co-flowering plants. The strength and direction of the facilitative/competitive relationship is driven by multiple factors, including floral abundance and the degree of overlap in pollinator visitation networks. We sought to determine how plant-pollinator networks, within and surrounding sweet cherry (Prunus avium) orchards, change across key time points during the cherry flowering season, in three growing regions in Australia. We found significant overlap in the suite of flower visitors, with seven taxa (including native bees, flies, hoverflies and introduced honey bees, Apis mellifera) observed visiting cherry and other co-flowering species within the orchard and/or the wider surrounding matrix. We found evidence of pollinator facilitation with significantly more total cherry flower visits with increasing percent cover of co-flowering plants within the wider landscape matrix and increased visitation to cherry by honey bees with increasing co-flowering plant richness within the orchard. During the cherry flowering period there was a significant positive relationship between pollinator richness on cherry and pollinator richness on co-flowering plants within the orchard and the area of native vegetation surrounding orchards. Outside of the crop flowering season, co-flowering plants within the orchard and wider landscape matrix supported the same pollinator taxa that were recorded visiting cherry when the crop was flowering. This shows wild plants help support the pollinators important to crop pollination, outside of the crop flowering season, highlighting the role of co-flowering plants within pollinator-dependent cropping systems.

On the habitat use and foraging ecology of the Yellow-headed Brushfinch (Atlapetes flaviceps), an endemic species of conservation concern from Colombia

Natural history information is one of the major knowledge gaps in Neotropical ornithology. Several range-restricted and threatened species in the region are still poorly known, hindering the design of effective conservation programs. Here, we used direct observations collected at 7 localities throughout the Tropical Andes to describe habitat use and foraging ecology of the Yellow-headed Brushfinch (Atlapetes flaviceps), a species of conservation concern and endemic to Colombia. Our observational records (n = 174) indicate that this species mainly occurs in secondary forests and landscape mosaics that include patches of native vegetation and agricultural areas, but it seems to be frequently associated with the presence of regenerating vegetation in early successional stages. We found that the species' diet was mainly composed of fruits and invertebrates, although other items are occasionally included. Although our data suggest the possibility of an association between habitat type and the activity recorded, as well as temporal variation in foraging behavior, this requires more research. Our observations support the idea of this species being tolerant to human-altered habitats, but this needs to be confirmed by measuring habitat-specific productivity and survival. The results presented here not only increase knowledge of this poorly known endemic but can be useful for the subsequent implementation of management strategies aimed at increasing the availability of high-quality habitat.

Rethinking urban park irrigation under climate change

Climate change is forcing cities to reassess their water management practices, particularly for water-intensive applications like park irrigation. If water scarcity requires governments to deviate from current park management norms and allocate less water towards parks, it is essential that park managers design spaces that maintain community wellbeing. We apply the hedonic pricing method and use detailed park management information to assess the value of parks in a region where local climatic conditions require extensive irrigation to keep turf green, and where climate change is further constraining water supplies. Here we show that the impacts of irrigation on the value of parks differ depending on the dwelling types of the nearby housing populations that they serve. In most cases, the convention that parks have to be irrigated to deliver ecosystem services to the public is supported. However, we find that non-irrigated park areas are also valued positively by nearby apartment dwellers. Accelerating rates of urbanization and shifts towards high-density living may support the development of more diverse park options that are less water-intensive. Increased visibility of these alternative park forms, which could include more areas of native vegetation that do not require irrigation, may subsequently influence public expectations for landscape design.

A multi-temporal method for detection of underground natural gas leakage using hyperspectral imaging

Hyperspectral remote sensing images can indirectly detect underground natural gas leakage through the spectral and spatial variation of surface vegetation. However, due to the complexity of surface environment and the phenomenon of "different samples demonstrating the same spectrum", using a spectral-spatial based method may result in misidentification. The spectral and spatial characteristics of surface vegetation caused by natural gas micro-leakage will change with the increase of stress time and the growth of vegetation. Therefore, a field simulation experiment of natural gas micro-leakage vegetation stress was set up. Multi-temporal hyperspectral images of bean, corn and grassland were obtained, and a new spectral-spatial-temporal based methodology was proposed to identify natural gas micro-leakage points and stressed vegetation areas. First, multi-scale segmentation and rotation forest classification algorithm were used to conduct a spectral-spatial based classification for natural gas leakage stressed vegetation on each phase of the image. The precision and recall rate of the leak point detection results were 93% and 88%, respectively. Then, the classification and recognition result images of different time phases on the same plot were weighted stacked to obtain a spectral-spatial-temporal features fusion image. Finally, the fusion image was used to construct a spectral-spatial-temporal features fused recognition model to determine the final natural gas micro-leakage stress vegetation areas and the locations of suspected leak points. The precision and recall rate of final detection results were both 100%.

Food versus wildlife: Will biodiversity hotspots benefit from healthier diets?

AbstractAimsTerrestrial biodiversity is threatened by land use change. Modelling suggests that the remaining, potentially arable areas of natural intact vegetation (rNIV) of 9 of 35 global biodiversity hotspots may be converted to agriculture by 2050, committing their endemic species to extinction. Studies have shown that if the global population adopted a healthy, mostly plant based diet, agricultural area expansion can be reduced. We want to examine to what degree this applies to the regions covered by biodiversity hotspots.LocationGlobal.Time period2020–2050.Major taxa studiedNo particular taxa.MethodsFor every biodiversity hotspot, we simulate climate change impacts on agricultural productivity, and estimate food demand shifts from 2010 to 2050 by processing population and income growth projections. We quantify the net change in rNIV by 2050 in all hotspots by calculating the agricultural area necessary to meet the food demand under a business as usual, a healthy diet, a healthy diet plus agricultural intensification, and a healthy diet plus agricultural intensification plus crop change scenario.ResultsIn the healthy diet scenario, the rNIV of 16–21 hotspots can be preserved entirely, but 5–6 hotspots in less developed regions may lose all rNIV to agricultural area expansion. In these regions, a healthy diet implies an increase in consumed calories and no change in the already high share of plant‐based calories. When combined with agricultural intensification, these hotspots will still lose 7%–92% of rNIV. Only an additional change in crop mix patterns may preserve all.Main conclusionsWhile a change in dietary habits may be sufficient for preservation of rNIV in many hotspot regions, a healthy diet actually puts more pressure on rNIV in other hotspot regions. Intensifying agriculture and optimizing crop selection should be priorities in those regions to mitigate the expected loss of rNIV to agricultural expansion.

Reducing losses in food production in Brazil: its impacts on the economy, land-use change and greenhouse gas emissions

The reduction of food losses is an important measure to ensure food security, as it affects food availability, the environment and economic development. To this end, it is necessary to reduce waste from production to final consumption. This paper analyzes the economic impacts in Brazil from reducing food losses at the production stage between 2021 and 2030. In addition, it assesses the effects of policies on land allocation and its consequences in terms of greenhouse gas emissions. A computable general-equilibrium model was used to estimate the consequences arising from the reduction of losses on the different sectors of the economy as a result of the application of shocks of productivity gains to the production of some of the main crops in Brazil. The results show that reduction of waste is feasible and beneficial for the Brazilian economy, as it promotes regional and national economic growth, which leads to an increase in consumption by households and the government, and to investments and production levels. One of the main results identified was the Borlaug effect, since different agricultural activities grew in volume by increasing productivity on current cropland, thereby avoiding the conversion of large areas of native vegetation into arable land. Furthermore, the results may offer a new perspective on this topic to countries with economies similar to Brazil's, particular since only a few studies use this approach exist.

Analysis of indicators of surface water pollution in Atlantic Forest preservation areas.

Managing water resources in regions with scarce data, like most developing countries, is still one of the major challenges around the world. Analysis of water quality parameters can provide important information for understanding the current status of water resources and their surroundings, including the changes that have occurred over time. This study aims to evaluate the influence of preservation areas on surface water quality in the Atlantic Forest biome. For this purpose, water quality monitoring sites with a greater number of parameters and longer monitoring time, located in six basins in the Atlantic Forest region of Brazil near preservation areas, were selected. This study employs seven statistical methods, such as cluster and principal component analysis (PCA), and promotes a robust analysis of the pollution of water resources in the Atlantic Forest. The most preserved basins, with more than 87% preservation area, have lower levels of pollution. The second most degraded basin, with 56% preservation area, presents intermediate pollution levels. The most degraded basin has the highest level of pollution. The basin with the lowest area of native vegetation is considered a degraded basin. Finally, non-point sources of pollution from agricultural activities were identified as the main sources of pollution in the region. The cophenetic correlation of 0.97 indicates a good performance of the cluster analysis. In addition, the pre-tests of PCA showed the suitability of the data for performing the test (Bartlett test, < 2.2e-16 and KMO, P= 0.7). The first principal component in the PCA, which accounts for 31.4% of the total variation, is associated with strong ammonia nitrogen and total Kjeldahlnitrogen loads, and moderate biological oxygen demand and nitrite loads. The second component, representing 13.6% of the total variation, indicates periods of self-cleaning of water resources after contamination. The results indicate the importance of maintaining preservation areas in the watershed contribution areas for the improvement of surface water quality in the Atlantic Forest.

Growing-season vegetation coverage patterns and driving factors in the China-Myanmar Economic Corridor based on Google Earth Engine and geographic detector

Although previous studies have shown that the construction of the China-Myanmar Economic Corridor (CMEC) has caused critical deforestation, few studies have monitored the long-term vegetation dynamics in corridor regions. Recent studies have revealed vegetation greening trends at different scales but have failed to further explore whether these trends are due to the restoration of natural vegetation or the large-scale planting of artificial crops. To investigate the vegetation dynamics and influencing factors during the growing season between 2001 and 2020 in the CMEC area, trend analysis, the random forest (RF) classifier at Google Earth Engine platform, and the geographic detector were employed to quantitatively analyze the patterns of distribution and change in vegetation coverage and its driving factors. Note that we distinguished between natural vegetation areas and artificial crop areas using the RF classification algorithm in an attempt to improve the drawback that most previous studies confused the contribution of natural vegetation and artificial vegetation to macro vegetation change. We discovered that (1) the growing-season average fractional vegetation cover (FVC) was 0.7033, which was relatively low in central and southern regions. The FVC increased by 0.21% yr−1 from 2001 to 2020, and areas with an increasing trend in FVC were 16.67% more than those with a decreasing trend. (2) Although forests and grasslands were reduced by 0.68%, the cropland that prominently clustered in the central and southern regions contributed 50.37% to an increase in FVC, and the decreasing effects on natural vegetation were offset by the increase in artificial crops. (4) The factors that influence FVC distribution were ranked in descending order: land use/land cover (LULC) > climate > topography > anthropogenic activity; factors that influence FVC change were ranked as: anthropogenic activity > climate > LUCC. Note that the grain yield influence on the FVC distribution increased 0.31% yr -1, which was also the most important factor driving FVC change, indicating that agricultural activities increasingly facilitated vegetation greening.

Prioritising areas for wildfire prevention and post-fire restoration in the Brazilian Pantanal

In 2020, fires in the Pantanal, the world's largest continuous tropical wetland, made global news. The flames destroyed almost one-third of the biome. Furthermore, 43% of the affected area was burnt for the first time in 20 or even more years. As the combination of extreme drought and anthropogenic actions that caused these extreme wildfires is still prevalent, scientifically informed actions are necessary to prevent catastrophic fires in the future. Fire prevention, as well as restoration need to be spatially prioritised, as it is unfeasible to plan actions for the whole extent (150,355 km2) of the Brazilian Pantanal. In this study, we identified areas of high fire risk based on meteorological fire risk tendency for 1980–2020, fire intensity, last year with fire, the recurrence of fires for 2003–2020, and remaining areas of natural forest vegetation around watercourses. These native remnants include unburnt areas that can serve as refuges for fire-sensitive species and are important for fire prevention. We identified 246 km2 with high fire risk, i.e., high probability of megafires, with vegetation types that support fire-sensitive plant species. We found that while 179 km2 had high or medium natural regeneration potential, 66 km2 had low potential and needed active restoration. Over 3120 km2 have been severely degraded by recent fires. About 93% of these areas have high or medium potential for natural regeneration, where the suggested actions are passive restoration and Integrated Fire Management. We estimated the cost of post-fire restoration for areas with high and medium potential for natural regeneration to be around 123 million USD. In areas with low regeneration potential (219 km2), we suggest active restoration. The cost to restore these areas using transplanted seedlings or enrichment planting is estimated between 28 and 151 million USD.

Irrigated sugarcane crops improve the quality of soil organic carbon over time

The substitution of native vegetation in agricultural systems can cause several changes in the chemical and physical soil attributes, and in the dynamics of soil organic carbon. This study aimed to evaluate changes in soil physical attributes and carbon stock in soil organic matter fractions in irrigated sugarcane crops, as a function of land use and straw management practices over time, in the North of Minas Gerais State, Brazil. Four sugarcane fields with different ages and management systems were studied: Cane 6, Cane 7, Cane 8, and Cane 10. The data obtained were compared with a native vegetation area located near the sugarcane fields, and used as reference for unmanaged soil. In each system, soil samples were collected in the 0-10, 10-20, and 20-30 cm depth layers, to determine the physical attributes, the total organic carbon, and the physical fractions of the soil organic matter. We found that the sugarcane management with the maintenance of a part of the straw on the soil surface contributes to the preservation of the soil structure and the most stable fractions of organic carbon over time. However, in the regions with high annual mean temperature and in the irrigated systems, the soil tillage for the renewal of the sugarcane fields significantly decreases the total soil organic carbon.

Different land use types influence Red-browed Amazon (Amazona rhodocorytha) ccurrence in Southeastern Brazil.

The habitat loss is the main threat for many parrot species worldwide. However, the disturbed environments can influence the occurrence of the species positively or negatively, depending on its structure and potential use as an alternative environment. Therefore, this work aims to determine the relationship between land use types and the occurrence of the threatened Red-browed Amazon, identifying the land use types related to species' occurrence and the direction of these relationships. Seven land use types were significantly associated with the species' occurrence: Primary/Secondary Advanced/Medium Natural Forest, Secondary Natural Vegetation, Pasture, Outcrop/Bare Soil, Mangroves, Rivers and Urban Areas. We found that some land use types that are structurally different from the original environments (Pasture, Outcrop/Bare Soil and Urban Areas) positively affected the occurrence of the species. The relationship between intensity of occurrence and highly anthropized land use types, suggests a plasticity of the species in habitat use that may be contributing to the maintenance of Red-browed Amazon populations in highly disturbed habitats. Therefore, we proposed that the management of disturbed areas, along with usual conservation strategies (e.g., conservation of forest remnants, restoration of degraded areas), could contribute to Red-browed Amazon conservation.

Changes in soil organic matter fractions induced by cropland and pasture expansion in Brazil's new agricultural frontier

Recently, the so-called Matopiba region (northeastern Brazil) has experienced an accelerated agricultural expansion, with large areas of native vegetation (NV: Cerrado biome) converted to extensive pasture (PA) and cropland under no-tillage (CL). However, because soils from this region contain a large amount of sand (> 60%) and a high susceptibility to erosion, concerns have been raised about the impacts of land-use change (LUC) on soil organic matter (SOM) dynamics. Therefore, we assessed the magnitude that agricultural expansion affects SOM fractions in the most common LUC scenarios observed in the Matopiba region. Soil samples were collected to a depth of 1-m in three adjacent sites (i.e., NV, PA, and CL) located in a representative agricultural area of the region. Soil organic matter was physically fractioned into particulate organic matter (POM) and mineral-associated organic matter (MAOM); and carbon (C) and nitrogen (N) were determined in SOM fractions, in addition to in bulk soil samples. Additionally, the C management index (CMI) was used as a proxy to infer soil health changes. The conversion from NV to PA decreased C (by ~28 Mg ha−1 at 0–100 cm) and N (by ~0.5 Mg ha−1 at 0–50 cm) stocks at an annual loss rate of ~1.3 and 0.02 Mg ha−1, respectively. Carbon loss occurred in both POM and MAOM fractions, which were lower in ~36% and 34%, respectively, compared with NV (0–100 cm). This C depletion resulted in the smallest CMI value (75%) in the 0–30 cm soil layer in PA. The conversion from NV to CL had no effect on total C and N stocks (0–100 cm), but impacted C dynamics in SOM fractions. A lower value was observed for MAOM-C (~22%) in the 30–70 cm layer compared to NV, but the C accrual in the POM fraction (~24%) in the uppermost soil layers (0–30 cm) offset MAOM-C loss. This increase in the POM stocks enhanced the CMI, which was 37% higher than NV for the 0–30 cm layer. Our results revealed that PA expansion in the Matopiba region, besides declining C and N levels, reduced soil health as indicated by the low CMI values. On the other hand, land conversion from NV to CL did not impact C and N stocks and increased CMI. However, we advocated that agriculture expansion over NV areas is not a sensible option to promote the region's sustainable development. It should be prioritized on degraded PA areas and be based on best management practices as a strategy to recarbonize PA soils and restore soil health. This is paramount to mitigate climate change and increase sustainable food production in the Matopiba region over time.

Carbon and nitrogen stocks through time in abandoned croplands of the Comarca Lagunera, Mexico

Croplands in the Comarca Lagunera region of Mexico are undergoing abandonment due to water scarcity. The effects of vegetation succession following cropland abandonment on soil organic carbon (SOC) and total nitrogen (STN) stocks have been poorly studied although such effects have important implications for terrestrial carbon pools and the global carbon cycle. This study sought to determine the organic carbon and total nitrogen content in soil at two depths (0–30 cm and 30–60 cm) and the successional biomass with a chronosequence of 2, 15, 25, and 35 years of restoration after cropland abandonment, as well as uncultivated areas of native microphyllous desert scrub vegetation used as reference (Ref). Results revealed that the ecological succession 35 years after cropland abandonment resulted in high dominance by the species Prosopis glandulosa. Because of that, the latest stage since cropland abandonment (35 years) contained about three times more carbon and nitrogen (2.64 Mg C ha−1 and 0.62 Mg N ha−1, respectively) in aboveground biomass than reference areas (0.94 Mg C ha−1 and 0.21 Mg N ha−1, respectively). In contrast, soil carbon tended to decrease as years of abandonment increased. Thus, areas with 35 years of abandonment, although having high aerial carbon content, had the lowest soil carbon accumulation. Soil organic carbon and total nitrogen content showed no significant differences between the sampling depths in the investigated sites during the restoration time. These findings suggest that soil carbon accumulation after cropland abandonment through unmanaged ecological succession is difficult to achieve in this area.

On a Data-Driven Approach for Detecting Disturbance in the Brazilian Savannas Using Time Series of Vegetation Indices

Remote sensing of disturbance in the savannas from Brazil is challenging, especially due to confounding effects of the vegetation phenology and natural soil exposure on the detection of clearing and fire events. In this study, we investigated the detection of disturbance over this global hotspot of biodiversity using seven vegetation indices (VIs) calculated from the Landsat time series (2017–2019) and the Continuous Change Detection and Classification (CCDC) algorithm. The selected VIs represented distinct biophysical characteristics of the savannas. We evaluated the effects of disturbance on these VIs and assessed the accuracy of CCDC-detection in 2019, considering individual VIs, ensemble VIs, and the type of disturbance (savanna clearing and fire). Finally, we analyzed the possible existence of seasonal patterns of disturbance in a study area located at the new agricultural frontier of the Cerrado biome. The results showed that the overall accuracy of CCDC detection of total disturbance ranged from 51.2% for the Green-Red Normalized Difference (GRND) to 65.9% for the Normalized Burn Ratio (NBR2). It increased to 71.2% for ensemble VIs, whose multivariate approach reduced the omission errors in the analysis when compared to the use of single VIs. For detecting events of savanna clearing and fire, the most important VIs used near-infrared and shortwave infrared reflectance bands on their formulations (NBR2, NBR, and Moisture Stress Index—MSI). The CCDC accuracy was generally higher for detecting clearing than for mapping burned areas. In contrast, the recorded date of disturbance occurrence was less precise for detecting clearing than for recording events caused by fire, especially due to the existence of some gradual processes of vegetation degradation until complete clearing. Our findings showed also the existence of a seasonal pattern of disturbance occurrence. Savanna clearing predominated in the transition from the rainy to the dry season (April to July) to open new areas for agriculture. It preceded most events of fire disturbance between August and October that occurred near the consolidated areas of agriculture and extended into the native vegetation areas. Results reinforce the importance of data-driven approaches for generating early warning alerts of disturbance in the Cerrado to be further checked in the field.

Physicochemical characterization, bioactive compounds and antioxidant capacity of bitter melon

ABSTRACT The bitter melon (Momordica charantia) is an exotic fruit that has adapted very well to the Brazilian soils, and can be found on practically all regions. Several advantages related to consumption of this fruit can be reported, highlighting its antifungal activity, reduction of glycemic indexes, and also due to the content of natural pigments, such as lycopene and β-carotene, making it promising as a functional food. Based on the demand for foods of this nature, this research aimed at the biometric characterization, physicochemical, bioactive compounds and the pulp and seeds’ antioxidant capacity of bitter melon, collected in the southwest region of Goias. The fruits were collected from plants inside a native vegetation area on Campus Rio Verde at the Instituto Federal Goiano, and the evaluations were carried out from October 2020 to April 2021. The fruits showed high variability in dimensions and weight, high concentrations of flavonoids, tannins, carotenoids, total phenolics and antioxidant capacity. According to results, the bitter melon can be used as a raw material to develop food formulations with functional characteristics and drugs potentially effective in the treatment of diabetes and diseases caused by oxidative processes.

Integral analysis of environmental and economic performance of combined agricultural intensification & bioenergy production in the Orinoquia region

Agricultural intensification is a key strategy to help meet increasing demand for food and bioenergy. It has the potential to reduce direct and indirect land use change (LUC) and associated environmental impacts while contributing to a favorable economic performance of the agriculture sector. We conduct an integral analysis of environmental and economic impacts of LUC from projected agricultural intensification and bioenergy production in the Orinoquia region in 2030. We compare three agricultural intensification scenarios (low, medium, high) and a reference scenario, which assumes a business-as-usual development of agricultural production. The results show that with current inefficient management or with only very little intensification between 26% and 93% of the existing natural vegetation areas will be converted to agricultural land to meet increasing food demand. This results in the loss of biodiversity by 53% and increased water consumption by 111%. In the medium and high scenarios, the intensification allows meeting increased food demand within current agricultural lands and even generating surplus land which can be used to produce bioenergy crops. This results in the reduction of biodiversity loss by 8–13% with medium and high levels of intensification compared to the situation in 2018. Also, a positive economic performance is observed, stemming primarily from intensification of cattle production and additional energy crop production. Despite increasing irrigation efficiency in more intensive production systems, the water demand for perennial crops and cattle production over the dry season increases significantly, thus sustainable management practices that target efficient water use are needed. Agricultural productivity improvements, particularly for cattle production, are crucial for reducing the pressure on natural areas from increasing demand for both food products and bioenergy. This implies targeted investments in the agricultural sector and integrated planning of land use. Our results showed that production intensification in the Orinoquia region is a mechanism that could reduce the pressure on natural land and its associated environmental and economic impacts.

Wilderness areas in a changing landscape: changes in land use, land cover, and climate.

Wilderness areas are not immune to changes in land use, land cover, and/or climate. Future changes will intensify the balancing act of maintaining ecological conditions and untrammeled character within wilderness areas. We assessed the quantitative and spatial changes in land use, land cover, and climate predicted to occur in and around wilderness areas by (1) quantifying projected changes in land use and land cover around wilderness areas; (2) evaluating if public lands surrounding wilderness areas can buffer future land‐use change; (3) quantifying future climate conditions in and around wilderness areas; and (4) identifying wilderness areas expected to experience the most change in land use, land cover, and climate. We used projections of land use (four variables), land cover (five variables), and climate (nine variables) to assess changes for 707 wilderness areas in the contiguous United States by mid‐21st century under two scenarios (medium‐low and high). We ranked all wilderness areas relative to each other by summing and ranking decile values for each land use, land cover, and climate variable and calculating a multivariate metric of future change. All wilderness areas were projected to experience some level of change by mid‐century. The greatest land‐use changes were associated with increases in agriculture, clear cutting, and developed land, while the greatest land cover changes were observed for grassland, forest, and shrubland. In 51.6% and 73.8% of wilderness areas, core area of natural vegetation surrounding wilderness was projected to decrease for the medium‐low and high scenarios, respectfully. Presence of public land did not mitigate the influence of land‐use change around wilderness areas. Geographically, projected changes occurred throughout the contiguous U.S., with areas in the northeast and upper Midwest projected to have the greatest land‐use and climate change and the southwestern U.S. projected to undergo the greatest land cover and climate change. Our results provide insights into potential future threats to wilderness areas and the challenges associated with wilderness stewardship and climate adaptation. Despite the high degree of protection and remoteness of wilderness areas, effective management and preservation of these lands must consider future changes in land use, land cover, and climate.