Environmental plantings’ influence on microbial attributes and soil properties in Australia.

<p>Native trees and shrubs planted in large contiguous blocks (environmental plantings) have been established on agricultural lands in Australia to reinstate ecosystem functions and protect the biodiversity that has been degraded by agricultural activities. Limited work exists on the extent of the ecosystem recovery, but the assessment of microbial attributes (i.e. microbial activity and functional diversity) in these plantings may provide an indication of status. This study investigated how environmental plantings, and time since their establishment, affects aforementioned soil microbial attributes,  to determine if the recovery to conditions found under extant remnant woodland were achievable. We compared changes in microbial functional diversity and activity along with total organic carbon (TOC), total nitrogen (TN), extractable phosphorous (P), soil pH, and electrical conductivity (EC) between environmental plantings established for 17 and 27 years, a paired adjacent pasture, and nearby remnant native woodland at Gunnedah, New South Wales. The results indicated that microbial activity under the trees, compared to that of pasture, increased by 20%–93% with increasing tree age. The ordination distance of microbial functional diversity declined between environmental plantings and remnant woodland as the age of the environmental planting increased, which was indicative of microbial functions becoming similar to that in the remnant vegetation with time. Soil P levels under trees were significantly higher compared to pasture and also increased with increasing planting age. However, TOC and TN levels under environmental plantings remained similar to pasture. These results suggest that microbial attributes and soil nutrient status of the investigated environmental plantings were on a trajectory of change from that of the pasture systems toward that of the remnant vegetation, but that full ecosystem recovery had not yet been achieved, even after 27 years.</p><p>Keywords: Environmental plantings, Microbial activity, Microbial functional diversity, Soil organic carbon, Soil nutrients</p>

The role of invasion and urbanization gradients in shaping avian community composition

The extent to which native species utilize urban environments depends on species responses to multiple threatening processes. Here, we aimed to quantify changes in bird communities in response to changing habitat structure, invasive species and aggressive native species. We conducted surveys in two independently invaded regions with similar patterns of urban development. The study regions were New South Wales (NSW) and Queensland (QLD), Australia. We observed 127 species in NSW and 144 species in QLD. Most species (NSW 83 and QLD 84) are urban adapters making use of some or all urban sub-environments. Urban avoiders, species only found in remnant vegetation, were the second largest group (urban avoiders: NSW 23 and QLD 31). We found the lowest richness in the most urban sites (urban exploiters: NSW 10 and QLD 15). Using generalized linear mixed models, we found a non-significant relationship between species richness and the abundance of aggressive species like the common myna and noisy miners, Manorina melanocephala, but a significant positive correlation with the percentage of shrub cover at a site. As there is a gradual loss of species with increasing urbanization, retaining higher complexity in vegetation structure in urban areas will support large numbers of species and could help mitigate the potential impacts of aggressive urban-adapted species and habitat loss.

An alternative broad vegetation hierarchy for eastern New South Wales, with application for environmental planning and management

Many previous vegetation description and mapping programs have highlighted the need for a hierarchical classification that easily translates from regional through to international scales. Often programs have not selected appropriate levels of vegetation classification and mapping for management purposes. Here, we provide an alternative broad vegetation classification at the macrogroup level in the international vegetation classification for eastern New South Wales (NSW) that could be applied in regional and local environmental planning and management. Existing aerial photographic interpretation (API) floristic and canopy maps available for eastern NSW were collated and reclassified and incorporated into a unifying dataset of macrogroups, which also included types dominated by exotic vegetation such as exotic plantations. There we identified, in total, 71 macrogroups across eastern New South Wales (NSW) of a total of 85 identified for NSW mapped at 1:25000 scale, or finer, in the following three sections: north-east, Sydney basin and central west, and southern coast and Snowy Mountains. These were then amalgamated into a single remnant vegetation map covering 23 525 280 ha. This alternative broad vegetation hierarchy provides a reliable and overt vegetation classification and mapping dataset that can easily incorporate future revisions as new mapping data become available.

The Structure, Composition, and Health of Remnant Forest Vegetation of West Timor, Indonesia

Aims: The forest of West Timor has been cleared for different purposes for decades, leaving only small patches of remnant forest vegetation. Understanding tree-shrub composition and structure of this remnant forest vegetation is a vital instrument in assessing the sustainability of forest, species conservation, and management of forest ecosystems. This research was therefore conducted to investigate the current structure and composition pattern of tree-shrub species in such remnant forest vegetation. Study Design: This research project was designed using a vegetation survey employing the Point Centered Quarter Method. Place and Duration of Study: The research project was conducted in five sample stands of remnant forest vegetation, namely Oliana, Tablolong, Fatukoa, Oenesu, and Alak, the District of Kupang, West Timor, Indonesia, between April to July 2020. Methodology: In each sample stand, the tree-shrub vegetation was surveyed using Point Centered Quarter Method by placing three 100-m-long transects. The first transect was placed at random and the second and third transects were placed parallel to the first, with a distance of 100 m between two transects. Sample points were then determined in an interval of 10 m along each transect to construct four quarters. In each quarter, the nearest tree or shrub (≥ 1 m height) to the sample point was identified and the distance measured. For each tree or shrub species, number of individual, dominance, frequency, Importance Value Index (IVI), stem diameter at 0.5 m height, and average value of plant height for each species were determined. Index Similarity (IS) between stands were also calculated using Sørensen Coefficient. Results: Of the 600 invidual tree and shrub measured in a total of about 1,500-m-long line transect, about 28 tree-shrub species of 16 families were identified. The number of plant/hectare was 833 and the mean number of species/stand was 9.60 (sd = 1.94). Generally, the number of species and families found in the remnant vegetation community was relatively low compared to that of commonly found in rain forests. The IS between stand was 28.21 (sd = 14.40)%. The highest IS were between stand 1-2 (IS 55.56%) and between stand 1-4 (IS 47.62%). The lowest IS were between stand 3-4 and 3-5 (IS 10.53%). Based on the number of species, the five stands of remnant vegetation was dominated by families of Fabaceae, Arecaceae, and Anacardiaceae, but based on the IVI, they were dominated by families of Lamiaceae, Fabaceae, and Sapindaceae. On the basis of plant height, about 6.15% of the total individual was within the category of small plant (≤2 m) and 3.32% was of big tree (>14 m). However, on the basis of stem diameter, about 27.86% of the total individual was on the category of small plant (≤10 cm) and about 2.99% was of big tree (>130 cm). Most existing species were within the category of small and very small IVI, only about 14.26% of the existing species were within the category of very high IVI (>20%) and 71.43 were within the category of low and very low IVI (<10%). Four most prominent species, namely Tectona grandis Linn., Schleichera oleosa (Lour.), Vachellia nilotica (L.) P.J.H.Hurter & Mabb., and Spondias pinnata (L.f.) Kurz contributed to more than 50% IVI in the five stands of remnant vegetation. Among all species found, Leucaena leucocephala (Lam.) de Wit, Caesalpinia pulcherrima (L.) Sw., Sesbania grandiflora (L.) Poiret, Syzygium cumini (L.), Pterocarpus indicus Willd., Pinus mercusii Jungh. & de Vriese, and Acacia auriculiformis A.Cunn. ex Benth. were present in very small IVI. In general, the contribution of invasive species in the stands of remnant vegetation was relatively high (total IVI 56.96%), about a quarter of which were invasive weedy shrub species. Conclusion: Based on this result it can be concluded that the five stands of remnant forest were in the state of poor health as indicated by the low number of species and families, the low species diversity, the heterogeneous floristic composition as most of species present were in the category of low occurrence, and the dominance of invasive non-native tree and shrub species. Therefore, the forest needs immediate intervention by taking conservation and restoration action to prevent further destruction.

An Integrative Modelling Approach to Analyse Landscape Dynamics Through Intensity Analysis and Cellular Automata-Markov Chain Model

The goal of this study is offer a deep understanding of the landscape dynamics in the Gorgan Township, the Golestan Province, Iran. Landsat satellite imagery of two different time thresholds, i.e. the years 1992 and 2011, was acquired from the US Geological Survey database and the changes were quantified for the Gorgan area covering a 19-year time span. Furthermore, an integrated Cellular Automata-Markov Chain (CA-MC) model was applied to predict future changes up to the year 2030. We used the intensity analysis method to compare the historical dynamics of different land categories at multiple levels. The results indicated that during the 19 years, the built-up and forest areas increased by 2.33% and 0.27%, respectively, while agriculture and remnant vegetation decreased by 2.43% and 0.24%, respectively. The CA-MC model illustrated that in the following 19 years, the built-up areas could increase by 2.45%. An intensity analysis revealed that forest gains and losses were dormant while remnant vegetation gains and losses were active. The built-up area’s gains and water bodies’ losses were active and stationary during both time intervals. The transitions from water bodies and remnant vegetation to agriculture were regularly targeting and stationary, while the transition from forest to agriculture was regularly avoiding and stationary. Our findings also indicated a heavy systematic transition from agriculture to built-up areas. Regarding the increasing population growth and urbanisation in the region, the outcomes of this study can help make informed decisions for the management and protection of natural resources in the study area.

Variation of the Phlebotominae (Diptera: Psychodidae: Phlebotominae) Assemblage in Response to Land Use Changes in an Endemic Area of Leishmania Transmission in Northeast Argentina

Leishmaniases are a global health problem and in Argentina are considered emerging diseases. The new transmission scenarios of tegumentary leishmaniasis are especially important given that large areas of forest are being transformed into rural and urban systems. The aim of this study was to analyze the impact of the construction of a large public building and a neighborhood on the assemblage of Phlebotominae in a rural area with forest remnants and to correlate the changes observed in the species assemblage with characteristics of the environment. Entomological surveys with light traps were conducted on the construction campus in the northeastern region of Argentina at six sites representing different environmental situations. Structural environmental characteristics and meteorological conditions were recorded and analyzed. At least 16 species of Phlebotominae sand flies were collected, the most prevalent being Nyssomyia whitmani (Antunes & Coutinho), followed by the genus Brumptomyia (França & Parrot) and Migonemyia migonei (França). Our study provides evidence of how the structure of the assemblages and prevalent species respond to anthropogenic disturbances. As the construction progressed, both Ny. whitmani and the genus Brumptomyia were favored. The genus Brumptomyia was favored at sites surrounded by high proportions of forest, within patches of remnant vegetation, and relatively far from anthropogenic disturbances, while Ny. whitmani, the main vector of tegumentary leishmaniasis in the region, increases their abundant at short and intermediate distances from vegetation margins and areas close to anthropogenic disturbances, therefore increasing the risk of human exposure to vectors.

A Practical Index to Estimate Mangrove Conservation Status: The Forests from La Paz Bay, Mexico as a Case Study

Mangrove cover has declined significantly in recent years in tropical and subtropical areas around the world. Under this scenario, it is necessary to elaborate and implement tools that allow us to make estimations on their conservation status and improve their protection and support decision-making. This study developed an index using qualitative and quantitative data. The criterions used in the index were: (1) Remnant Vegetation Index, (2) Delphi Method Survey, and (3) Rapid Assessment Questionnaire. In turn, the weights of the criterions were defined using the analytical hierarchy process (AHP). Once the values of each criterion were obtained, the index was applied to 17 mangrove communities located in La Paz Bay, Mexico. Finally, according to their score, they were classified based on the IUCN Red List of Ecosystems. The results show that five communities were ranked in the category Minor Concern, eight in Little Threatened, one in Vulnerable, one in Endangered, and two were classified as Deficiency of Data. These results are slightly different from other studies in the region and validate this index as a proper method. Therefore, it could be applied to other sites, especially in areas with little information and/or scarce monetary resources.