The stakes are considerable. Grassland ecosystems once covered roughly 30 to 40 percent of the ice-free land surface, but temperate grasslands have been among the most heavily transformed habitats on Earth, with most of what remains now used for livestock production. The Río de la Plata Grasslands, spanning central Argentina, Uruguay and southern Brazil, form one of the largest Neotropical grassland systems at approximately 700,000 square kilometers, yet protected areas cover less than 3 percent of the Argentine Pampas. That means most surviving grassland habitat sits on private ranches, where decisions about stocking rates, paddock rotation and herbicide use effectively function as conservation policy. The regional avifauna includes 109 species classified as Southeastern South America grassland birds—species that depend extensively, or entirely, on the original native grassland physiognomy.

These birds fall into three broad habitat categories, and the study’s findings hinge on those distinctions. Short-grass species include migratory shorebirds such as the Buff-breasted Sandpiper (Calidris subruficollis) and the American Golden-plover (Pluvialis dominica), which favor closely cropped, homogeneous turf. Tall-grass species, some of them of conservation concern, include the Bay-capped Wren-spinetail (Spartonoica maluroides), a secretive bird that nests and forages among dense tussocks. Broad species, such as the Great Pampa-finch (Embernagra platensis) and the Brown-and-yellow Marshbird (Pseudoleistes virescens), use both short and tall grass. Because each group responds to different vegetation structures, a single grazing prescription cannot serve them all—a tension that lies at the heart of grassland conservation in the region.

The two management systems the researchers compared represent fundamentally different philosophies. Continuous grazing management, the traditional practice in the Flooding Pampas, keeps cattle in the same paddocks throughout the year, which tends to produce spatially homogeneous grasslands with short vegetation and has been linked to negative impacts on birds dependent on tall grass. Ecological process-based management, by contrast, encompasses rotational and controlled grazing designed to achieve more efficient forage use across seasons and to improve grassland composition by regulating resting periods, allowing cool-season grasses to seed and establish. Previous work has shown that input-based practices such as herbicide application and the establishment of introduced pastures can intensify grassland degradation and displace grassland birds in favor of generalists, whereas ecological process-based approaches have been associated with greater vegetation heterogeneity and more diverse avian communities.

To quantify these effects, the team surveyed birds and vegetation during a single breeding season in October and November of 2016, on five ranches under each management type, evenly distributed across the subregion. At each ranch, 25 to 30 count points were systematically placed—one per paddock, separated by at least 150 meters and kept away from fences, drainages and floodplains to avoid edge effects. Observers recorded all birds seen or heard within a 50-meter radius during five-minute counts conducted in the three hours after dawn and the three hours before sunset, yielding 288 count points and a total sampling effort of 1,440 minutes. The surveys documented 3,800 individuals of 41 grassland bird species under continuous grazing and 3,719 individuals of 39 species under ecological process-based management. After each count, observers visually estimated vegetation height, cover and dominant plant species, classifying vegetation into seven height strata and noting the presence or absence of tussock-forming species such as Paspalum quadrifarium, Juncus acutus, Spartina species and Cortaderia selloana.

The statistical analysis, built on generalized linear mixed models with ranch as a random effect, revealed that overall grassland bird abundance was 8 percent higher under ecological process-based management—26.5 versus 24.5 individuals per count point—than under continuous grazing. More striking was the interaction involving tussocks. Broad species, the group driving the overall difference, reached roughly 9.7 individuals per point in tussock-free paddocks under continuous grazing, but nearly doubled to 17.7 individuals where tussocks were present under the same management, and rose to 18.4 and 20.3 individuals per point under ecological process-based management with and without tussocks respectively. In other words, rotational grazing appeared to create conditions suitable for broad species even where tussocks were absent, while traditional continuous grazing only supported comparable numbers where tussock clumps persisted. Tall-grass species, meanwhile, did not respond directly to management type but were almost ten times more abundant in the presence of tussocks—0.4 versus 0.04 individuals per point—an emphatic signal of how much these plants matter for the most habitat-specialized birds.

Short-grass species told a different story entirely: their abundance varied neither with management practice nor with tussock presence. Seven species accounted for 75 percent of total abundance across the study, and none were tall-grass birds; the dominant assemblage included the Southern Lapwing (Vanellus chilensis, 20 percent of individuals), the Grassland Yellow-Finch (Sicalis luteola, 19 percent), the American Golden-plover (11 percent) and the Correndera Pipit (Anthus correndera, 11 percent). Species richness showed no significant association with management practice and only a marginal one with tussocks, averaging 6 species per point with tussocks against 5.4 without. A canonical correspondence analysis then mapped the 37 most frequently detected species against six vegetation variables, revealing a significant association between bird communities and vegetation structure. The first ordination axis separated species along gradients of heterogeneity and height, while the second axis primarily reflected grassland height, tussock presence and lowland occurrence.

The ordination carried important conservation messages. The Bay-capped Wren-spinetail and the Warbling Doradito (Pseudocolopteryx flaviventris) anchored the tall-grass, tussock-associated end of the gradient, while the Buff-breasted Sandpiper and American Golden-plover sat at the opposite extreme, tied to short, homogeneous grass shorter than 10 centimeters—likely because low swards improve both arthropod detection and visibility of avian predators. The threatened Hudson’s Canastero (Asthenes hudsoni), a broad species that nests in tall grasslands but feeds in heterogeneous ones, was associated with tussocks and high structural diversity. Notably, the Bay-capped Wren-spinetail was recorded at fewer than 5 percent of count points, underscoring how rare suitable habitat has become even on semi-natural ranches. The researchers also observed that ranches under continuous grazing happened to hold higher tussock and lowland occupancy in this sample, and that ranch identity explained a substantial share of the variance in bird abundance—suggesting that land-use history, paddock size, stocking rate, topography and fire all shape the conservation value of individual properties.

The practical implications reach beyond Argentina. Studies in the temperate grasslands of the United States Great Plains have found that grazing systems alone often do not significantly affect bird communities, making the Pampas results a reminder that context matters: where tussock-forming plants persist or can be restored, they act as keystone structural features for threatened birds. Because cow-calf production is the predominant activity of the Flooding Pampas, meaningful change must happen at that stage, and ecological process-based management is already available and has been shown to increase production while reducing certain environmental and biodiversity impacts. Yet adoption barriers remain, including lack of knowledge and economic constraints, and different ranching systems face different obstacles. Crucially, the authors caution that rotational grazing does not automatically preserve tussock-dominated grasslands of Paspalum quadrifarium, which serve as refuges for native wildlife and still resemble the original physiognomy of the Pampas. The study’s central lesson is therefore twofold: grazing systems that promote heterogeneity can deliver productive, economic and conservation goals simultaneously, but deliberate preservation of tussock-forming plants within livestock systems is indispensable for safeguarding the region’s most specialized and threatened grassland birds.

Subject of Research: Effects of grazing management and tussock-forming plants on grassland bird communities in the Argentine Flooding Pampas

Article Title: The role of grazing management practices and tussock-forming plants on grassland birds in the Argentine Pampas

Article References: Niklison, F., Bilenca, D., & Codesido, M. (2025). The role of grazing management practices and tussock-forming plants on grassland birds in the Argentine Pampas. Discover Conservation, 2(1), Article 44. https://doi.org/10.1007/s44353-025-00066-8

Image Credits: AI Generated

DOI: 10.1007/s44353-025-00066-8

Keywords: grassland birds, Argentine Pampas, grazing management, tussock grasses, rotational grazing, Flooding Pampas, bird conservation, vegetation structure, Bay-capped Wren-spinetail, livestock production, Neotropical grasslands, habitat heterogeneity

The research, published in the journal Environmental Challenges, was conducted by Bernadett Csonka, Katalin Balázs and László Podmaniczky, who set out to close a persistent gap between the richness of spatial data available to policymakers and the ecological indicators actually used to assess farmland biodiversity. Agricultural landscapes cover vast areas of Europe and sit at the centre of EU biodiversity policy, yet species-level monitoring remains expensive, fragmented and impossible to carry out wall-to-wall across entire countries. The team’s answer was to stop chasing species directly and instead measure the architecture of the landscape itself — the stitched-together mosaic of habitats that determines whether species can move, disperse and persist.

The foundation of the approach lies in data infrastructures most people never think about. Under the Common Agricultural Policy, every payment claim runs through the Integrated Administration and Control System, which relies on the Land Parcel Identification System (LPIS) and the annual Geospatial Aid Application (GSAA) — high-resolution, georeferenced maps of fields, crops and landscape features verified for eligibility. In Hungary, the national LPIS, known as MePAR, operates as a wall-to-wall land cover dataset covering the entire country, a rarity in the EU, with a minimum mapping unit of just 100 square metres for arable land and explicit capture of linear landscape elements wider than roughly two metres. That means hedgerows, tree rows, field margins and grassland patches are drawn into the record with fine spatial detail, updated on a three-year orthophoto cycle and cross-checked annually against satellite observations from the CAP Area Monitoring System.

From this administrative goldmine, the researchers built an indicator they call ecosystem spatial complexity. The core measurement is deceptively simple: within each UTM quadrat — thousands of fixed grid cells covering the country — they calculated the total length of boundaries between different land cover categories, using 27 land cover groups and excluding self-intersections and artificial surfaces. The logic draws on a long tradition in landscape ecology: habitat transitions, or ecotones, are zones where species richness tends to rise because adjacent habitat conditions coexist, so a landscape laced with long, convoluted boundaries between arable land, grassland, woody vegetation and wet features should offer more niches, more stepping stones and greater structural resilience than a landscape of vast, uniform fields. The computations were performed in an open-source workflow combining QGIS, a PostGIS spatial database and spreadsheet analysis, processing more than 1.2 million polygons per year.

The team deliberately refined classical metrics to avoid known biases. Shape-complexity measures such as Patton’s edge index can overvalue narrow linear features like grass margins while underrepresenting isolated tree groups, which in intensively cultivated arable landscapes often serve as the more ecologically valuable stepping stones. The Hungarian framework therefore distinguishes four harmonised phenological categories — arable land, natural vegetation, semi-natural vegetation including managed grassland, and artificial sealed surfaces — chosen because they align with what Earth observation can reliably detect, and it complements the boundary metric with a compositional diversity indicator that counts the distinct land cover types and crop types present in each quadrat, drawing crop information from the annual GSAA declarations.

A crucial methodological step was proving that the decadal dataset of 2015 to 2024 was stable enough to support trend analysis. The authors demonstrate that the MePAR classification methodology has remained consistent since 2018, meaning that later changes in polygon boundaries reflect genuine changes on the ground rather than shifts in how data were drawn or classified. From 2023 onwards, linear landscape elements of high biodiversity relevance — tree rows and field margins — were systematically represented across full national coverage in the natural vegetation category, allowing the team to compare a five-year average from 2018 to 2022 against 2023 and 2024 on a like-for-like basis.

The headline finding is dramatic. Comparing 2019 with 2024 under a ±10 percent deviation threshold, 84.58 percent of agriculture-dominated quadrats in Hungary showed a decrease in ecosystem spatial complexity greater than 10 percent, while only 0.15 percent showed an increase above that threshold; the remaining 15.28 percent stagnated. Roughly half of the declining quadrats lost between 10 and 20 percent of their complexity, and about a quarter fell in the 20 to 30 percent loss class. Because total eligible area remained largely stable over the period, the signal is expressed almost entirely through boundary dynamics — the removal of field margins, the homogenisation of adjacent practices, the disappearance of small semi-natural patches — rather than through the outright conversion of land. In plain terms, Hungary’s farmed landscapes are being ironed flat, their fine-grained habitat mosaics eroding into larger, simpler blocks.

The framework also translates raw complexity values into policy-ready categories. Using thresholds derived from a six-year reference period, each quadrat is classified as unfavourable, average or favourable: in 2024, about 11.56 percent of quadrats fell into the unfavourable class with complexity below roughly 100 kilometres of habitat boundary, around 16.31 percent were favourable above about 210 kilometres, and nearly three-quarters sat in the average band. A complementary dynamic classification using Jenks natural breaks optimisation allows year-specific targeting of interventions. National statistics on specific boundary types sharpen the picture further: the total outer boundary of arable land, the length of contact between arable land and linear landscape features, and the perimeter where agricultural land meets natural or semi-natural vegetation each serve as sensitive detectors of field consolidation and the loss of hedgerows, tree rows and narrow forest strips.

The authors are careful about what such proxies can and cannot claim. Boundary length captures structural complexity, not biodiversity itself — species richness, abundance and community composition remain unobserved — and the relationship between edge density and ecological quality is not unidirectional, since fragmentation can harm species that depend on large, contiguous habitats even as it benefits generalists. The indicators also inherit uncertainties from farmer-declared crop data, though integration with Sentinel-2-based Area Monitoring System outputs is expected to progressively reduce that weakness. The study does not establish causality between landscape structure and biodiversity outcomes; it captures structural correlation and change, which would need to be paired with field observations to untangle drivers such as climate variability, soil properties and management intensity.

Even so, the policy implications are considerable. The Nature Restoration Law, which entered into force in 2024, explicitly sets targets for high-diversity landscape features on agricultural land — hedgerows, buffer strips, ponds, wooded strips, isolated trees — and demands spatially explicit, comparable monitoring across Member States. A proxy that can be computed annually, at quadrat or even parcel level, from data that national administrations already collect and verify, offers exactly the kind of scalable, reproducible benchmark that performance-based CAP evaluation frameworks require. Validated for transferability against Austrian IACS datasets under INSPIRE standards, and transferable in principle to other Member States using Copernicus High Resolution Layers where wall-to-wall LPIS does not exist, the approach demonstrates that the EU’s subsidy machinery, reinterpreted through the lens of landscape ecology, can double as a continental early-warning system — one that has already issued its first warning, showing biodiversity-relevant landscape structure collapsing across most of a nation’s farmland within five years.

Subject of Research: Deriving a transferable ecosystem spatial complexity proxy for farmland biodiversity monitoring from high-resolution CAP and Earth observation data

Article Title: Ecosystem spatial complexity derived from high resolution agricultural data: a transferable biodiversity proxy

Article References: Csonka, B., Balázs, K., & Podmaniczky, L. (2026). Ecosystem spatial complexity derived from high resolution agricultural data: a transferable biodiversity proxy. Environmental Challenges, 25, Article 101658. https://doi.org/10.1016/j.envc.2026.101658

Image Credits: AI Generated

DOI: 10.1016/j.envc.2026.101658

Keywords: biodiversity, agricultural landscapes, ecosystem spatial complexity, Common Agricultural Policy, LPIS, IACS, Earth observation, landscape ecology, habitat heterogeneity, Nature Restoration Law, Hungary, Sentinel-2

The research team, led by Badreldin A. A. Mohamed of the Wildlife Research Center in Khartoum and Salwa Mansour Abdelhameed of the Sudanese National Commission for UNESCO, carried out systematic field surveys during the wet seasons of June and July and the dry seasons of January and February in 2021 and 2022. Their toolkit combined standardized line transects along locally known footpaths running from the foothills to the summit, camera traps deployed for roughly 720 hours across representative sites in the Fawas habitat, and nocturnal spotlight surveys along vehicle-accessible routes. In total, 64 transects of 100 by 10 meters were walked on foot, covering a cumulative sampled area of 64,000 square meters. Records included direct sightings as well as indirect evidence such as tracks, feces, burrows, feathers, and bones, with strict measures to avoid double counting.

The tally that emerged is remarkable for a semi-arid reserve facing intensifying human pressure. The 191 species comprised 42 mammals, 112 birds, 19 reptiles, 4 amphibians, 12 insects, and 2 mollusks, representing six major taxonomic groups and an array of ecological niches. Birds dominated the assemblage, accounting for 60.4 percent of all observations, followed by mammals at 18.2 percent and insects at 15.6 percent. Crucially, the numbers were not static. Overall abundance in the wet seasons reached 2,510 individuals, roughly double the 1,256 records gathered during the dry seasons, a difference that held consistently across both study years.

Statistical analyses confirmed what the raw counts suggested. Because abundance data deviated significantly from normality, the researchers applied the Kruskal–Wallis H test followed by Dunn’s post hoc comparisons with Bonferroni adjustment. Seasonal differences were highly significant (H = 83.63, df = 3, P < 0.001), with each wet season differing from each dry season, while the two dry years and the two wet years were statistically indistinguishable from one another. This pattern implies a stable, predictable seasonal rhythm rather than random year-to-year fluctuation. Diversity indices told the same story: bird Shannon–Wiener diversity ranged from 3.61 to 4.19 and peaked during Wet 2021, accompanied by very low Simpson’s dominance and high Pielou’s evenness, while mammals reached their highest wet-season diversity with H′ values between 3.24 and 3.28.

Species richness shifted just as dramatically. Bird species climbed from 55 to 59 during the dry seasons of 2021 and 2022 to 90 and 89 during the corresponding wet seasons, and amphibians showed perhaps the sharpest response of any group, with 71 individuals recorded in the wet seasons against only 9 in the dry ones. The mechanism is well understood in savanna ecology: rainfall triggers pulses of primary productivity, expands temporary water sources, and cascades through food webs as insects, seeds, and fruits become abundant. For amphibians, whose breeding depends on ephemeral pools, the wet season is essentially the only viable window. Birds, including migratory and seasonal visitors that made up 48 percent of recorded species, ride the same resource wave. Mammals, more buffered by mobility and physiology, showed a smaller but still clear seasonal rise.

Perhaps the most ecologically revealing finding concerns the reserve’s internal geography. The study distinguished six habitat types: four natural ones—Higher Elevation, Fawas (the enclosed plains wedged between rocky hills), Upland Valleys and Streams, and Lower Slopes—and two human-modified ones, Farm Areas and Residential Areas. The Fawas habitat supported the highest overall abundance with 941 individuals and the greatest species richness across most taxonomic groups, while the Higher Elevation habitat recorded the fewest animals, only 214. Kruskal–Wallis testing confirmed significant differences among habitats (χ² = 95.386, df = 5, P < 0.001), with Higher Elevation differing significantly from every other habitat and the Fawas differing from Upland Valleys and Streams, Lower Slopes, and Residential Area. Notably, Farm Areas came second in abundance at 851 individuals, showing that even agricultural mosaic can sustain substantial wildlife when it offers crops, residues, and insect prey.

Behind the aggregate numbers lie individual species of considerable conservation weight. The mammal inventory included the olive baboon as the most abundant species at 95 individuals, the greater kudu recorded consistently across seasons and habitats, and rarely seen residents such as the aardvark, Egyptian mongoose, and Egyptian tomb bat, each represented by a single individual. Three mammals—the straw-coloured fruit bat, the patas monkey, and the striped hyaena—were classified as Near Threatened by the IUCN Red List. Among birds, the reserve hosts six globally threatened or Near Threatened species, including the Critically Endangered white-backed vulture (Gyps africanus) and hooded vulture (Neophron monachus), alongside Endangered steppe and tawny eagles, the lappet-faced vulture, and the pallid harrier. The reptile fauna included the Endangered African spurred tortoise (Centrochelys sulcata) and two Near Threatened python species, underscoring the reserve’s value far beyond its national borders.

To ensure their inventory was not an artifact of under-sampling, the team employed individual-based rarefaction and extrapolation using the iNEXT framework, and the species accumulation curves approached an asymptote for all major taxonomic groups, suggesting the surveys captured most detectable species within the surveyed habitats. The authors are candid about limitations: abundance estimates did not correct for detection probability, remote areas were inaccessible during the rains, and invertebrates were sampled through opportunistic hand collection that likely understates true diversity. Even so, the dataset represents a leap forward. Previous work at Jebel Al-Dair had focused on management planning, vegetation, or localized observations of birds and snakes, but never before had a single study quantified wildlife diversity across multiple taxonomic groups with standardized surveys and inferential statistics.

The conservation implications are pointed. Sudan’s protected area network remains under-resourced and under-representative of many ecosystems, and Jebel Al-Dair faces mounting threats from agricultural expansion, overgrazing, fuelwood harvesting, settlement growth, and illegal hunting. The study’s recommendations are correspondingly practical: prioritize protection of the Fawas and Upland Valleys and Streams, safeguard dry-season refuges and permanent water sources when animals concentrate into limited areas, restore degraded habitats, strengthen community-based conservation, and embed long-term standardized monitoring into an adaptive management plan. Because wet-season wildlife disperses broadly while dry-season animals cluster near water and shelter, patrol and monitoring schedules should track these temporal shifts rather than assume static distributions.

Beyond its local significance, the study positions Jebel Al-Dair as a reference site for the wider Sahel, where dryland biodiversity is declining under climate stress and land-use change and where ecological data are chronically scarce. The occurrence of both resident and migratory birds confirms the reserve’s role along the Afro-Palearctic flyway, and its inselberg-like mountain habitats mirror patterns seen at rocky outcrops across Africa where topographic complexity generates ecological niches that persist despite harsh conditions. In documenting 191 species in a single reserve, the researchers have supplied not just a species list but a baseline against which future change—whether from climate, development, or conservation action—can be measured, and a demonstration that even a semi-arid mountain in western Sudan can rank among the region’s most important biodiversity refuges.

Subject of Research: Seasonal and habitat-based patterns of wildlife diversity in a Sudanese semi-arid biosphere reserve

Article Title: Seasonal and habitat based patterns of wildlife diversity in Jebel Al Dair Biosphere Reserve, Sudan

Article References: Mohamed, B. A. A., & Abdelhameed, S. M. (2026). Seasonal and habitat based patterns of wildlife diversity in Jebel Al Dair Biosphere Reserve, Sudan. Discover Animals, 3(1), Article 92. https://doi.org/10.1007/s44338-026-00251-6

Image Credits: AI Generated

DOI: 10.1007/s44338-026-00251-6

Keywords: wildlife diversity, Jebel Al Dair Biosphere Reserve, Sudan, biodiversity, seasonal variation, habitat heterogeneity, conservation biology, semi-arid ecosystem, species richness, IUCN Red List, camera trapping, protected areas