Landscape Mosaic Research Articles

Fragmented areas due to agricultural activity: native vegetation dynamics at crop interface (Montecaseros, Mendoza, Argentina)

Plant communities fragmented by agricultural activities were analyzed in a 250-ha area in eastern plains of Montecaseros, Gral. San Martín Department, Mendoza, Argentina. A phytosociological method assessed different sites along a gradient of human intervention, from natural environments with no evidence of altered native vegetation to maximum farming modification, also including cleared and abandoned fields. Soil analyses supplemented the characterization of six plant communities. A scrubland physiognomy dominates the area, with species of the genera Larrea, Atriplex and Lycium. Tillage and crop abandonment can alter natural factors involved in soil formation, causing deterioration and exerting selective pressure on species colonizing these degraded environments. Evaluating natural vegetation before land clearing for agriculture is essential to assess, through species that indicate environmental conditions, edaphic limitations hindering crop establishment and affecting productivity. The conservation of natural communities on private lands destined for agriculture is valued. Plant communities fragmented by agricultural activities were analyzed in a 250-ha area in eastern plains of Montecaseros, Gral. San Martín Department, Mendoza, Argentina. A phytosociological method assessed different sites along a gradient of human intervention, from natural environments with no evidence of altered native vegetation to maximum farming modification, also including cleared and abandoned fields. Soil analyses supplemented the characterization of six plant communities. A scrubland physiognomy dominates the area, with species of the genera Larrea, Atriplex and Lycium. Tillage and crop abandonment can alter natural factors involved in soil formation, causing deterioration and exerting selective pressure on species colonizing these degraded environments. Evaluating natural vegetation before land clearing for agriculture is essential to assess, through species that indicate environmental conditions, edaphic limitations hindering crop establishment and affecting productivity. The conservation of natural communities on private lands destined for agriculture is valued. Highlights: This study aimed to characterize plant communities in natural and intervened environments, in a representative area of the fragmentation processes caused by agriculture in the Monte Province (Mendoza, Argentina). Plant biodiversity plays a strategic role in ecosystemic provision of goods and services necessary to human health and well-being. Cultivable land is a vulnerable and scarce resource, particularly in drylands, where ecosystems have low capacity for natural regeneration. Tillage and crop abandonment can alter natural factors involved in soil formation, causing deterioration and exerting selective pressure on species colonizing these degraded environments. In agricultural land, clearing can give rise to a mosaic of landscapes: productive crops merge with abandoned crops and fragments of natural fields. Evaluating natural vegetation before land clearing for agriculture is essential to assess, through species that indicate environmental conditions, edaphic limitations hindering crop establishment and affecting productivity. Studies of vegetation dynamism in private lands contribute to plan and implement sustainable land management, tending to recover and conserve biodiversity in degraded soils, considering all associated ecosystem services.

Effects of Mosaic Natural Conditions on the Tourism Management of a Lowland Water Reservoir, Lake Tisza, Hungary

The increasing number of visitors and conflicts resulting from shared use in valorising sensitive wetlands make effective visitor and site management measures essential. In the course of this research, the landscape pattern, the current spatial distribution of tourist activities and the possible arrangement of expedient further development were examined. The study area, Lake Tisza, is an artificial lowland reservoir established in the 1970s with an area of 127 km2 in Hungary. Among its original functions, in addition to flood control, nature conservation and recreation have become the main profiles. The diverse hydro-ecological features and mosaic landscape structure allow for nature conservation and utilisation in tourism. This differentiated use is in line with the worldwide trend of favouring locations with multiple leisure activities in close proximity to each other. Based on the CORINE Land Cover (CLC) 2018 database, 12 different land use categories were identified in the study area. The largest proportion is represented by water bodies (53.29%), while inland marshes and broad-leaved forests cover 22.25% and 16.64%, respectively. The heterogeneity of the area is considerably enhanced by the high patch sizes of the categories pastures, broad-leaved forests and inland marshes. According to the Shannon diversity index, the most complex landscape diversity can be found in the Tiszavalk (1.5) and Poroszló (1.4) basins, considered to be the most suitable for ecotourism, while the lower values of the Sarud (1.1) and Abadszalók (1.1) basins provide suitable conditions for water sport activities and recreational tourism. Continuous adaptation to social needs and the joint protection of natural values is crucial for the sustainable development of Lake Tisza.

Circularity and livestock diversity: Pathways to sustainability in intensive pig farming regions

CONTEXTIntensive pig farming is challenged by high environmental impacts and dependence on outsourced inputs. Circular feeding strategies to improve nutrient cycling and livestock diversity have emerged as pathways to improve the sustainability. OBJECTIVEThis study explored the potential of increasing feed circularity and introducing sheep to improve the sustainability of a typical pig fattening region in the semiarid zone of Spain. METHODSThree alternative circular scenarios were designed to relocate pig feed production while reintroducing sheep production. These scenarios were then compared to a business-as-usual (BAU) scenario. The feeding strategies scenarios differed in crude protein (CP) and in-feed amino acid (AA) supplementation for pigs (CircHigh, high CP with low AA; CircLow, low CP with high AA; CircNoAA, low CP without AA) and included grazing sheep to use crop residues, alfalfa and temporary vetch-oat pastures on fallow land. Yearly feed requirements for pigs were planned, and were met with cereal grains, oilseeds, legumes, rice bran and chopped alfalfa hay. Sheep carrying capacity was estimated from available forage sources. Indicators in five sustainability dimensions were considered: economic performance, landscape mosaic, livestock diversity, nitrogen (N) cycling, and feed-food competition. RESULTS AND CONCLUSIONSOutsourced (BAU) pig feeding without sheep had low scores for indicators in all five dimensions. The feeding strategy for pigs strongly influenced the land area required to produce feed as well as N cycling. Only the CircLow scenario could feed the current pig stocks in the region with the arable land available. The CircHigh strategy combined with grazing sheep scored highest for most of the dimensions, except for feed-food competition indicators. The CircLow strategy had good scores for most of the dimensions, except for N cycling indicators, whose scores decreased due to the lower N content of slurry. The CircNoAA strategy increased the use of rice bran as a food coproduct and decreased N surplus, but also impaired the economic performance (land productivity and feeding costs). Although the CircLow strategy required less land area to grow legumes, it resulted in a slightly higher crop diversity and a higher sheep carrying capacity when sowing temporary pastures. SIGNIFICANCEN cycling and overall sustainability of regions with intensive livestock production was improved through feed circularity, that included reducing CP with high in-feed AA, and livestock diversity, by reintroducing sheep as complementary livestock that can graze crop residues and temporary pastures. These results may help to inform future rural policies to help upscale more sustainable practices in intensive pig farming regions.

Technical efficiency drivers of farmer-led restoration strategies, and how substantial is the unrealised potential for farm output?

CONTEXTIn Ethiopia, similar to other parts of Sub-Saharan Africa, the effects of farmland degradation on ecosystem services and well-being are especially prominent as 85% of the population lives in rural areas and depends on agriculture for their livelihoods. Existing farmer-led restoration activities involve integrating trees on farms (ToF) through traditional agroforestry or woodlots systems. Although ToF practices can potentially bring economic and ecological gains, their production systems and efficiency in terms of input use remain overlooked in the current literature. OBJECTIVEThe study analyses the technical efficiency levels in Ethiopia's home gardens and woodlot systems and examines the drivers contributing to technical efficiency. METHODSThe study estimates the technical efficiency of farmers who implement the ToF strategies, i.e. the extent to which the farmers can achieve the highest output level given their set of inputs. Deviation from the total technical efficiency is then referred to as unrealised potential. We also analyse the drivers of technical inefficiency by controlling for geographical, biophysical, and production system attributes of woodlots and agroforestry patches, as well as household characteristics and institutional settings. We use a one-step Latent Class Stochastic Frontier Modelling approach based on the cross-sectional household data of 543 home gardens and 426 woodlot systems patches in Ethiopia. RESULTS AND CONCLUSIONSAccording to the results, in woodlots, extensive farms lose 38% and intensive farms 22% of the potential output. In home-gardens, intensive farms lose 39%, and extensive farms lose 49% of the output due to technical inefficiency. Significant determinants of technical efficiency in both systems are ecological zones, access to markets, communal carbon payments, forest user groups, training, land title factors, rotation age and product diversification, among others. SIGNIFICANCEOur results help identify priority policy and practical action fields for improving farmer-led restoration strategies' technical efficiency and management in Ethiopia and the global south. Future national reforestation policies could reduce inefficiencies in farmer-led systems across Sub-Saharan Africa by targeting the factors exacerbating technical inefficiency per class in a given strategy. Thus, handling these drivers increases the success of farmer-led restoration strategies and contributes to achieving restoration pledges and AFR100 commitments in mosaic landscapes.

Nest characteristics of African crowned eagles and black sparrowhawks in urban mosaic landscapes: Potential constraints in finding nesting sites and implications for exotic tree management

The increase in human population and continuous landscape transformations, especially in urban areas, will result in most of the natural habitats being degraded, significantly reduced in size and lost. Consequently, constraints in acquiring resources such as nesting sites and food may occur. In this study, we investigated the nesting site characteristics of two raptor species in the urban mosaic landscape of Durban, KwaZulu Natal, South Africa, to determine the potential constraints affecting acquiring nesting sites. Between October 2020 and July 2021, we visited a total of 52 nests occupied by the African crowned eagle (Stephanoaetus coronatus, hereafter crowned eagle) and the black sparrowhawk (Accipiter melanoleucus) in our study area and compared the nest characteristics of the two raptors. Our results showed that exotic tree plantations were the most commonly used as nest sites by both species, suggesting that exotic trees may be crucial in providing nesting sites for both species in this highly modified landscape. Furthermore, our results showed that there was no significant difference in nest height, tree cover, nest cover and distance to (i) road, (ii) building and (iii) water of nests occupied by the two species. However, there was a significant difference between tree height and nearest neighbour distance. Tall, mature trees, slightly isolated from other trees, influenced nest site use for our study species. Innovative conservation measures and strategies could be vital in protecting raptor nesting sites (i.e., exotic tree plantations) in urban mosaic landscapes with natural and managed green spaces.

Spatial association of Mycobacterium bovis infection in cattle and badgers at the pasture interface in an endemic area in France.

Despite control and surveillance programmes, Mycobacterium bovis, the main aetiologic agent of bovine tuberculosis (bTB), is still detected on cattle farms and in wildlife populations in France, especially in badgers in the French Côte-d'Or département. The aim of our study was to find out if infected badgers were trapped significantly closer to pastures of infected farms than non-infected badgers and, if so, to determine the most efficient distance around those pastures for badger trapping, particularly for surveillance purposes. We studied two subareas (southern and northern), chosen based on natural barriers to badger movements and according to the presence of pastures belonging to infected farms (POIFs) and infected or non-infected badgers. In each subarea, we computed the shortest distances D0 and D between badgers trapped a given year n between 2015 and 2019 (n=59 infected and n=1535 non-infected badgers for D0; n=53 infected and n=1476 non-infected badgers for D) and POIFs designated as infected between the year n - 4 and n+1 (respectively n=373 and n=388 POIFs). D0 was calculated without considering spoligotypes, while D was calculated considering the possible epidemiological link between infected badgers and POIFs by using bTB spoligotype information. Then, we computed the observed mean and median of the D0 and D distances and used a bootstrap analysis to test if infected badgers were found significantly closer to POIFs than non-infected badgers. We observed that infection of badgers was not independent of distance from POIF in both subareas but distances (D0 or D) were different between the northern and southern subarea. In the northern subarea, which displays a mosaic landscape (mean and median D distances were respectively 612m and 303m for infected badgers), infected badgers indeed were trapped closer to POIFs, considering D0 and D. In the southern subarea, predominantly forested, infected badgers were significantly closer to POIFs than non-infected badgers when considering D0 but not for D (mean and median D distances were respectively 7148m and 4831m for infected badgers). These results will help to determine the most efficient distance from POIFs to trap badgers to determine their infection status in countryside landscapes. They also highlight the need to better understand the epidemiological systems at play in more forested landscapes where badgers may behave differently or other susceptible sympatric wild species might play a more important role in the circulation of M. bovis, both phenomena contributing to badger infection at greater distances from POIFs.

Landscape ecological risk of China's nature reserves declined over the past 30 years

Nature reserves are not isolated. They exist in the context of broader landscape mosaics, and the landscape surroundings of a reserve may contain a threat to the biodiversity within them. However, research on landscape ecological risk and driving factors of China's nature reserves are limited. Based on the Landscape Ecological Risk Index we estimated the landscape ecological risk to 668 of China's nature reserves across levels, climatic zones, and ecosystem type from 1990 to 2020, at five-year intervals. We also explored how the driving factors of human activities and climate affected the spatial heterogeneity and temporal change of landscape ecological risk in China's nature reserves. Our results showed that overall the landscape ecological risk to China's nature reserves has decreased over the past three decades, with the most pronounced decline between 1990 and 2000. The landscape ecological risk of coastline nature reserves has increased, however, while the landscape ecological risk to other ecosystem types has decreased. Climate is the dominant factor driving spatial heterogeneity of landscape ecological risk in China's nature reserves, with a contribution rate of 78.01%. Temporal change of landscape ecological risk in China's nature reserves is primarily impacted by human activities in 84.96% of China's nature reserves. Only 2.40% of China's nature reserves were at a higher landscape ecological risk in 2020. Our study reveals spatial heterogeneity and temporal change of landscape ecological risk in China's nature reserves, highlighting landscape ecological risk assessments of nature reserves should consider the restrictive effect of climate background. The decline in human activity will improve the landscape ecological risk of the nature reserve. This study provides scientific guidance for the sustainable development of China's nature reserve system.

Towards tree-based systems disturbance monitoring of tropical mosaic landscape using a time series ensemble learning approach

Tree clearing and degradation inside and outside forest ecosystems in Africa are important contributors to global carbon budget and emissions. Part of the uncertainties in emission estimates, among other things, is related to the non-inclusion of disturbances across all tree-based systems and limitations in the capacity of existing methodologies to detect subtle changes or degradation. Here, we present a tree-based system (TBS) disturbance monitoring approach in a mosaic landscape in East Africa. For this purpose, high- and low-intensity disturbance detection time series algorithms, namely Breaks for Additive Season and Trend monitor (BFASTmonitor), Continuous Degradation Detection (CODED), and Landsat-based detection of Trends in Disturbance and Recovery (LandTrendr), were used. These algorithms were tested in three approaches based on reference canopy cover change data from repeated airborne laser scanning. Data processing was performed using Collection 2 Landsat (5, 7, and 8) time series in Google Earth Engine. The approaches were based on testing the accuracy of 1) the algorithms' magnitude of change outputs using multispectral information (i.e., several vegetation indices and bands); 2) multispectral ensemble learning approach applied at each of the three algorithms; and 3) combining the multiple algorithms in an ensemble learning approach. Our results showed an improvement in the accuracy of detecting a TBS disturbance from approach 1 to 3. The best result (44% omission error and 31% commission error against reference airborne laser scanning data) was obtained when BFASTmonitor and CODED were combined in an ensemble learning approach. The shortwave infrared bands were more important for detecting TBS disturbance than green, red, and near-infrared bands. The application of the best model in TBS disturbance monitoring in the region revealed that disturbances were more dominant outside forest ecosystems than inside. Improved disturbance monitoring in TBS can contribute to more accurate emission estimates in Africa and elsewhere in the tropics.

Using the Alternative Stable States Framework to understand the persistence of secondary shrubland within a Mexican oak forest with livestock and agricultural legacies

Many forests exist in human-modified mosaic landscapes subject to logging, agriculture, and livestock grazing. These disturbances can reduce ecosystem resilience and ultimately result in crossing thresholds, leading to the transition of the ecosystem into new stable states with different plant communities. The interaction between these disturbances and forest succession is still poorly understood, despite the growing need to manage these human-modified landscapes for biodiversity and productivity. We studied abrupt changes in vegetation composition in a Central Mexican oak forest and explored how these changes could indicate the coexistence of various alternative stable states caused by agricultural and livestock legacies. We established 36 strip transects covering 9000 m2 in patches with various land use legacies where we sampled vegetation, soil characteristics, and human disturbance. We assessed future and past tendencies in vegetation spatial patterns by evaluating seedling composition and analyzed time series of NDVI signals recorded by LANDSAT images (1972–2019). We utilized NMDS, PERMANOVA, and ANOVA analyses to assess if stable states can be distinguished based on historical and current variations in vegetation composition and structure in patches with different management legacies. We then assess potential factors that may contribute to differences in plant community composition by fitting edaphic, topographic, and anthropogenic disturbance variables to the ordination analyses.We identified three distinct plant communities: oak forest (dominated by late-successional Oak species), secondary shrubland (dominated by Vachellia-Dodonaea association), and a transitional forest-shrub community (a mixture of the first two communities). Time-series analyses and seedling composition provide evidence of long-term community segregation. Variation partition analysis demonstrated that anthropogenic disturbance (particularly livestock browsing), had a greater impact on species composition differentiation than environmental variables.A state-and-transition model is proposed, where cattle browsing and agricultural legacies trigger the transition from oak forests to a stable secondary shrubland community. Three potential self-reinforcing and interacting feedbacks are suggested: (i) micro-environmental filtering, (ii) plant-trait mediated assembly process, and (iii) cascading effects on tree recruitment caused by cattle browsing. The proposed state-and-transition model explains forest successional dynamics in systems with multiple anthropogenic disturbances and provides a conceptual framework for understanding and guiding successional trajectories.

Promoting Bird Functional Diversity on Landscapes with a Matrix of Planted Eucalyptus spp. in the Atlantic Forest.

Promoting the diversity of biological communities in areas of agricultural production is a very current debate since protected areas may not be sufficient to ensure biodiversity conservation. Among the biological communities affected by the production areas are birds, which show rapid responses to changes in the landscape. Here we seek to understand how landscape planning, concerning its composition and configuration, in areas with a matrix of planted Eucalyptus spp. forests influences the functional diversity of bird assemblages in the Atlantic Forest. Our results show that the spatial distribution design of planted forests in terms of age, land cover and clone types have effects on bird diversity with regard to functional divergence, functional evenness and species richness. These results reinforce the importance of good management for the maintenance of bird diversity. We found that bird functional diversity in planted forest matrices increased with the proximity index, proportion of native vegetation and age importance value, and is negatively influenced by edge density and proportion of forest plantation. For bird conservation, it is thus better to associate Eucalyptus spp. with other cover types in the landscape. These results corroborate that, to increase bird functional diversity, it is possible to associate conservation and production in the same landscape. Mosaic landscapes have great potential to contribute to the conservation of bird biodiversity outside protected areas. However, decisions regarding the management of planted forests and planning of improved areas intended for conservation seem to be decisive to ensure the maintenance of bird biodiversity.

Late Upper Paleolithic of the South Minusinsk Basin and its Mountain Surroundings: Research Results and Problems

This paper briefl y reviews the main Late Upper Paleolithic sites of the Upper Yenisei—in the South Minusinsk Basin and in the adjacent highlands of the West Sayan. Known sites mostly date to the Late Sartan period. They concentrate on the Upper Abakan River, in the Yenisei valley between Maina and Sayanogorsk, and on the Upper Tuba River. Information is provided on the composition of fauna and on pollen data, indicating the predominance of mosaic landscapes with alternating forested and open steppe spaces. Climate fl uctuations of the Final Pleistocene were refl ected in the alternation of phases of herbaceous and forest vegetation. The association of most sites with deposits of the second and third terraces has been established. Certain sites, however, are associated with cover deposits at high elevations, on the one hand, and with the fi rst terrace lowered to the level of the high fl oodplain, on the other. In recent years, the Late Paleolithic of the Upper Yenisei has been considered in the context of the original version of catastrophic fl oods, which presumably occurred repeatedly in the Late Pleistocene. The nature of the stratigraphic sections of the multilayered sites of the Maina group on the Yenisei, however, disagrees with this hypothesis, and indicates continuous alluvial sedimentation in the Sartan Age. A conclusion is made about the predominance of remains of seasonal huntergatherer habitation sites on the riverbanks. But there are also traces of a lithic workshop near the quartzite outcrops (Kuibyshevo II). Unfortunately, no sites earlier than the Late Upper Paleolithic are known in the region, and Mesolithic ones are extremely rare.

Improving Reliability in Reconstruction of Landsat EVI Seasonal Trajectory over Cloud-Prone, Fragmented, and Mosaic Agricultural Landscapes

Although the Landsat 30 m Enhanced Vegetation Index (EVI) products are important input variables in land surface models, recurring Landsat 5/7 EVI time series over cloud-prone, fragmented, and mosaic agricultural landscapes is still a great challenge. In this study, we put forward a simple, but effective “Light and Temperature-Driven Growth model and Double Logistic function fusion algorithm” (LTDG_DL). The empirical basis of the LTDG_DL algorithm was traced from the de Wit crop growth simulation model and the commonly observed nonlinear correlation between the EVI and the Leaf Area Index (LAI). It assimilates the ground daily solar radiation and air temperature to generate seasonal profiles of the empirical LAI and EVI and conducts the within-season calibration of the empirical EVI by adjusting crop growth using cloud-free Landsat EVI observations. The initial date of seedling emergence (DOYini) and the accumulated Growing Degree Days for completion of the vegetative and Flowering stage (FGDDs) were variables to which the algorithm’s accuracy was most sensitive. The variable-constrained optimization of the LTDG_DL algorithm was performed by loading the seedling emergence calendar of local prevailing crops and establishing an FGDD lookup table with an exhaustive sampling without replication method. Compared to temporal interpolation functions and Landsat–MODIS spatiotemporal fusion algorithms, the LTDG_DL algorithm had superior performance in the predictions of the EVI increment slope at the vegetative growth stage, the timing of the peak EVI, and the protection of key Landsat EVI observations over cloud-contaminated and complex landscape agricultural systems. Finally, the advantages and limitations of the LTDG_DL algorithm are discussed.

Landscape resistance index aiming at functional forest connectivity.

Resistance models may quantify the ability of the landscape to impede species' movement and represent suitable habitats. Moreover, the performance of resistance models parameterized by land-use/land cover attributes evidence that the integrity of the environments subject to urban sprawl is poorly understood. In this sense, the study assumed we could identify the forest functional connectivity in a landscape considering the disparity in the landscape mosaic. In this context, we sought to develop a landscape resistance index through structural equation modeling (SEM), supported by the criteria of heat emission, biomass, and anthropogenic barriers, obtained by remote sensing, called observed variables. The landscape studied in the Green Belt Biosphere Reserve of São Paulo has significant remnants of the Atlantic Forest, a biodiversity hotspot. However, our results indicated criteria variability in the landscape modeled through the SEM, obtaining a significant adjustment of the landscape resistance index, with comparative fit index (CFI) of 1.00 and root mean square error of approximation (RMSEA) of 0.00. The index reflects the resistance levels of the land use/land cover, expressed by the class interval, ranging from 0% (1.73) to 100% (493.88), with the highest values associated with the anthropized uses and forest isolation. Thus, our index based on environmental attributes reflects the structure of functional forest connectivity and offers a framework to design forest corridors across landscapes.

High trait diversity among soil arthropods allows their survival in a heterogeneous eco-agricultural mosaic

Studies examining changes in functional diversity and trait composition for soil arthropods are limited yet crucial for understanding the effects of land-use change. To determine whether plantation forestry drives functional homogenization of soil biota, we compared the taxonomic and functional diversity of ants and springtails between natural (indigenous forests and grasslands) and transformed (Eucalyptus plantations) biotopes. The prevalence of morphological and ecological traits in natural vs. transformed biotopes was also assessed. The study was conducted in two environmentally contrasting regions: high elevation areas with clay soils and coastal areas with sandy soils, in KwaZulu-Natal, South Africa. Surprisingly, the Eucalyptus compartments generally had similar levels of taxonomic and functional diversity as indigenous forests and/or grasslands. However, there were shifts in traits between the three biotopes, with each biotope supporting arthropods with traits suited to the environmental conditions in the biotope. Some traits were representative of the natural biotopes, and others of the plantation compartments. As a functionally diverse component of soil biodiversity is present in the plantations, it is indicative that these plantations have seemingly high levels of ecosystem stability and functioning. Arthropod traits compatible with the different environments appear to allow them to persist in high diversity across the landscape mosaic. These results suggest that enhancing landscape heterogeneity in a production landscape increases taxonomic and functional diversity of soil arthropods by creating a large-scale, spatial mosaic of complementary conditions for species with different habitat requirements.

Puma density, habitat use, and activity patterns across a mosaic landscape of ranches, game reserves, and a protected area in central Argentina

Puma density, habitat use, and activity patterns across a mosaic landscape of ranches, game reserves, and a protected area in central Argentina

Home range and habitat use of vervet monkeys in the urban forest mosaic landscape of Durban, eThekwini Municipality, KwaZulu-Natal, South Africa

Generally, urbanisation affects biodiversity negatively; however, some species thrive in urban areas. One mammalian species thriving in the urban forest mosaic landscape is the vervet monkey (Chlorocebus pygerythrus), particularly in Durban, eThekwini Municipality, KwaZulu-Natal Province, South Africa. Vervet monkeys’ spatial use can provide important ecological information to understand their behavioural plasticity in an urban forest mosaic landscape. We, therefore, captured and collared vervet monkeys with Global Positioning System (GPS)-Ultra High Frequency (UHF) transmitters in two sites of varying degrees of urban and natural land-use types within eThekwini. Three home range methods Minimum Convex Polygon (MCP), Kernel Density Estimator (KDE), and Local Convex Hull (LoCoH) were used to determine individual home range size and core area use. Home range (30.7 ha 95% KDE) and core area (6.5 ha 50% KDE) estimates were relatively small for these vervet monkeys. Forest and thicket, and built-up habitat types were most used by vervet monkeys across the urban forest mosaic landscape. Overall, individuals in this study showed that the vervet monkeys, regardless of the environment, can successfully exist across the urban forest mosaic landscape. The spatial ecology of urban vervet monkeys provides valuable information for future education and management interventions, especially where there are negative human-monkey interactions amongst urban communities.

Geo-Based Assessment of Vegetation Health Related to Agroecological Practices in the Southeast of Togo

In the context of climate change, the need to contribute to achieving Sustainable Development Goal (SDG) 2 is no longer in doubt, especially in sub-Saharan Africa. In this study of the landscape within 10 km of the Donomadé model farm, southeastern Togo, researchers sought to assess vegetation health in ecosystems and agrosystems, including their capacity to produce biomass for agroecological practices. Sentinel-2 sensor data from 2015, 2017, 2020, and 2022 were preprocessed and used to calculate the normalized vegetation fire ratio index (NBR), the vegetation fire severity index (dNBR), and CASA-SEBAL models. From these different analyses, it was found that vegetation stress increased across the landscape depending on the year of the time series. The research estimated that 9952.215 ha, 10,397.43 ha, and 9854.90 ha were highly stressed in 2015, 2017, and 2020, respectively. Analysis of the level of interannual severity revealed the existence of highly photosynthetic areas that had experienced stress. These areas, which were likely to have been subjected to agricultural practices, were estimated to be 8704.871 ha (dNBR2017–2015), 8253.17 ha (dNBR2020–2017), and 7513.93 ha (dNBR2022–2020). In 2022, the total available biomass estimated by remote sensing was 3,741,715 ± 119.26 kgC/ha/y. The annual average was 3401.55 ± 119.26 kgC/ha/y. In contrast, the total area of healthy vegetation was estimated to be 4594.43 ha, 4301.30 ha, and 4320.85 ha, in 2015, 2017, and 2022, respectively. The acceptance threshold of the net primary productivity (NPP) of the study area was 96%. The coefficient of skewness (0.81 ± 0.073) indicated a mosaic landscape. Productive and functional ecosystem components were present, but these were highly dispersed. These findings suggest a great opportunity to promote agroecological practices. Mulching may be an excellent technique for enhancing overall ecosystem services as targeted by the SDGs, by means of reconversion of plant biomass consumed by vegetation fires or slash-and-burn agricultural practices.

Forests and fields in the pre-pyreneean neolithic and early Bronze Age based on fumier archaeobotanical records

The aim of this article is to present the current state of multidisciplinary archaeobotanical approaches that are being undertaken at Cova Gran de Santa Linya. Information from studies of seeds, charcoal, pollen, and NPP recovered from the Holocene levels of the site contribute to research questions regarding the anthropogenic transformation of the landscape. The signal of human activity in the environment can be detected through the bioarchaeological signatures of deforestation, forest management or agriculture practices. In this sense, the Cova Gran de Santa Linya is a cave deposit located in the northeast of Iberia used as an occupation site, recording mainly domestic activities during the Neolithic period. The settlement was also used as a pen during the Late Neolithic to the Early Bronze Age, preserving burnt and unburned dung layers that formed pen deposits, known as fumiers. The resolution provided by the multidisciplinary nature of this work shows how forests and fields created a mosaic landscape that provided crops, pastures, wood, and fuel and clearly reflects anthropogenic changes over time. The different methodological and analytical scales of this multidisciplinary approach, including taphonomic pollen alteration, provide a better understanding of the dynamics of the cave occupation and, from a broader perspective, the regional diversity related to the availability of plant resources.

The use of solar farms by bats in mosaic landscapes: Implications for conservation

The use of solar farms by bats in mosaic landscapes: Implications for conservation

Facets of the nesting ecology of a ground-nesting bird, the Spotted Thick-knee, in an urban mosaic landscape

Ground-nesting bird species are typically threatened when their natural habitats are removed or altered through urbanisation. Despite this, some species, like the Spotted Thick-knee (Burhinus capensis), persist in urban mosaic landscapes. Our study was undertaken to collect novel information on Spotted Thick-knee persistence in an urban mosaic landscape by investigating facets of its nesting ecology in Pietermaritzburg, South Africa. We collected Spotted Thick-knee nesting and nest site data between July 2019 and December 2020. We conducted direct observations at 33 nest sites, and additional remote monitoring with camera traps at eight nest sites. Spotted Thick-knee breeding pairs showed select habitat and nest-site preferences (greater use of shrub-like species for nest-site placement, more grass cover, shorter grass, and flatter slopes at nest sites) compared with random sites. Successful nesting outcomes were significantly greater than failed nesting outcomes. Incubation activity was significantly longer during the day, and incubation activity had a significant adverse relationship with disturbance in human-modified habitats. Land use and human activity influenced nest-site selection and survival of nests. Spotted Thick-knee used residential gardens and recreational areas as nest sites in the urban mosaic, although nests were more successful in residential gardens. They used shrub-like vegetation as nest-cover structures, possibly because of added protection from extreme weather or less visual detection. Risks associated with nesting in human-modified habitats included increased threats from domestic animals and incubation activity costs because of disturbance around nest sites. There are relatively few studies on ground-nesting birds in urban areas, so further research is needed to determine how our results compare with other species.