Wild, Volume 2, Issue 1 (March 2025) – 7 articles

Multi-source remote sensing fusion and machine learning are effective tools for forest monitoring. This study aimed to analyze various fusion techniques, their application with machine learning algorithms, and their assessment in estimating forest type and aboveground biomass (AGB). A keyword search across Web of Science, Science Direct, and Google Scholar yielded 920 articles. After rigorous screening, 72 relevant articles were analyzed. Results showed a growing trend in optical and radar fusion, with notable use of hyperspectral images, LiDAR, and field measurements in fusion-based forest monitoring. Machine learning algorithms, particularly Random Forest (RF), Support Vector Machine (SVM), and K-Nearest Neighbor (KNN), leverage features from fused sources, with proper variable selection enhancing accuracy. Standard evaluation metrics include Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), Overall Accuracy (OA), User’s Accuracy (UA), Producer’s Accuracy (PA), confusion matrix, and Kappa coefficient. This review provides a comprehensive overview of prevalent techniques, data sources, and evaluation metrics by synthesizing current research and highlighting data fusion’s potential to improve forest monitoring accuracy. The study underscores the importance of spectral, topographic, textural, and environmental variables, sensor frequency, and key research gaps for standardized evaluation protocols and exploration of multi-temporal fusion for dynamic forest change monitoring. Full article

In sub-Saharan Africa, protected areas are located in close proximity to communities, leading to frequent negative encounters between humans and wildlife. This is coupled with increased pressure from communities seeking park resources to support their livelihoods. To address this, land use plans have been designed around protected areas. For example, in Kenya, wildlife conservancies have been created out of private and community lands. The aim of these conservancies is to contribute to improved livelihoods, reduce human–wildlife conflicts, and increase support for conservation. However, limited research exists on how the conservancies have achieved their aims among local communities. This study focuses on the Maasai Mara region in Kenya and examines how livelihoods and human–wildlife conflicts influence support for conservation among conservancy members. Data were gathered from 411 households adjacent to the reserve through a survey conducted in June and July 2024. The findings indicate a high incidence of human–wildlife conflict and improved security in health and education only. Despite this, there is high satisfaction with the conservancy model and strong support for conservation. Although these findings highlight the significance of conservancies in mitigating human–wildlife conflict, enhancing livelihoods, and garnering conservation support, more attention is needed for food and financial security. Full article

This study examined the grazing pressure and interactions between four species of wild kangaroos (Red Kangaroo Osphranter rufus, Common Wallaroo O. robustus, Eastern Grey Kangaroo Macropus giganteus, Western Grey Kangaroo M. fuliginosus), free-ranging feral goats (Capra hircus) and European rabbits (Oryctolagus cuniculus), and stocked Merino sheep (Ovis aries). The study site comprised two contiguous pairs of stocked and unstocked paddocks, one a sloping run-off zone, the other a flat run-on zone, covering a total area of 2158 ha. These paddocks on Fowlers Gap Station in far north-western New South Wales, Australia, are representative of the arid chenopod (Family: Chenopodiaceae) shrublands stocked with sheep. Sheep and red kangaroos dominate the mammalian herbivores by biomass. The study examined the relative grazing pressure exerted by the seven species of mammalian herbivores in stocked and unstocked conditions, where only sheep were confined, across a three-year period that included rain-deficient (drought) months. The effects of climate (especially rainfall and temperature) and herbivore density on the standing biomass of pasture were teased out at a macro-scale. Herbivory at a micro-scale was examined using open and exclosed plots with detection of herbivore species by fecal deposition and time-lapse videography. Sheep exerted the highest grazing pressure and there was no compensatory increase in grazing pressure by other herbivores in unstocked paddocks. Rainfall was a key driver of pasture biomass and condition and loss by senescence typically outweighed grazing pressure. Grazing effects at a micro-scale were plot-specific and complex. The results are discussed in relation to the sustainable management of rangelands for production and wildlife. Full article

The Normalized Difference Vegetation Index (NDVI) is a measurement of landscape “greenness” and is used as a proxy for productivity to assess species distributions and habitats. Seasonal levels of productivity have been strongly related to avian population dynamics, suggesting dependence upon biomass production for completing annual life cycle events. The breeding season is a critical component of the avian life cycle that involves higher nutritional requirements to feed young, avoiding predators, and attracting mates. Our objective was to determine how the NDVI affects avian abundance and richness across breeding seasons with varied rainfall in South Texas, USA. Breeding bird point-count surveys were conducted, and MODIS Terra NDVI data were collected. We observed both positive and negative effects between May and June avian abundance, richness, and the NDVI depending upon the year (i.e., wet or average rainfall) and NDVI values in the months prior to (i.e., April) and during the peak of breeding season (May), with no significant effect of the NDVI in June, suggesting the months prior to peak breeding season may be most influential. This information can aid land management recommendations and better predict how environmental changes like rainfall may affect avian dynamics on a landscape for both wildlife and domestic animals. Full article

The Calakmul Biosphere Reserve (CBR) is in the south of the Yucatán Peninsula and is known for its great biological diversity. However, despite the great diversity of species, they are under intense pressure from hunting activities, especially the larger ones that can be used for human food. Therefore, the objective of this study was to obtain knowledge about the hunting importance of populations of three species of birds (Crax rubra, Meleagris ocellata, and Penelope purpurascens) in the southern zone of the Calakmul Biosphere Reserve, Campeche. Sampling was conducted with transects where a total of 46 camera traps were installed from November 2021 to November 2022, distributed in two types of vegetation. Likewise, data on species presence were collected and analyzed with Principal Component Analysis and ANOSIM (ANOSIM; R = 0.10, p = 0.22) to relate abundances with vegetation types and seasons of the year. No significant differences were found between the two vegetation types. This study provides relevant information on the populations of game birds in the southern region of Calakmul, which is currently little explored, and constant monitoring of these species throughout the CBR is necessary. Full article

Colonization of the “remnants of the natural world” or “last wild spaces” is a process that continues at the present time. This colonization is mainly happening in unprotected spaces outside the global protected area network but is sometimes also attracted by natural resources near or within these “Anthropocene refugia”. Critical perspectives consider that protection measures keeping people far away do not guarantee the saving of wild nature but are another way to colonize it under the neoliberal imperative. This article essays an image composition based on available explicit spatial data from public sources as a representation of human settlement distribution within and around (buffer zone) the Wild Protected Areas System in Southern Chile. From an interpretative perspective beyond the dichotomic framework of pristine wilderness versus anthropogenic pressures, this article explores patterns configurating complex assemblages with diffuse limits which challenge the mainstream conservation model adopted by the State, in which people remain invisible, to think about human activity within protected areas and the unprotected space around them in a different way. In conclusion, the current system of protected areas, by itself, is not sufficient to maintain diversity, while the change processes driven by neoliberal exploitation remain within a framework dominated by political economy. New directions in interdisciplinary research and policy interactions must be explored to develop innovative measures, such as the idea of refugia against the demands of the Anthropocene. Full article

In line with the Italian “Farmers-Nature Project” aimed at reducing conflicts between wild predators and livestock farmers, the spatiotemporal activity of the red fox was monitored in a protected area of central Italy over a one-year period. In parallel, farmers living in the study area were asked to participate in an interview about their perception of the red fox and its predatory activity towards livestock. Analysis of data obtained by camera trapping revealed that a higher number of red fox sightings was recorded in February and March in relation to the search for food, while a lower number was recorded in July when food is more abundant. Red fox primarily moves at night, with a peak of activity between 9 and 10 p.m., staying around an area close to the den. Interviews with farmers revealed a generally positive view of the red fox, as its predation on livestock was rare, suggesting that the fox can find sufficient food resources in the environment. Full article