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Impact of protected areas and land use on regeneration of Acacia woodland’s in Eastern Burkina Faso
(2008)
Regeneration success, persistence strategies (seedlings vs. coppicing), and population trend of Acacia spp. were tested under two land-use regimes in eastern Burkina Faso: (i) protected areas shielded to livestock grazing pressure, to logging, and using early annual fire as a management system; (ii) areas with high human impact (heavily and extensive livestock grazing, harvesting for wood and for medicinal plants). Generally, a good regeneration rate of Acacia species was observed in protected areas and a poor regeneration rate in areas with high human impact. Nevertheless, some species affiliated to the subgenus Aculeiferum as A. dudgeoni and A. polyacantha showed a good regeneration under both land use regimes. Juvenile plants less than 25 cm height of A. dudgeoni and A. gourmaensis increased by 116 to 50 % in areas with human impact as compared to their populations in protected areas. With SCD slopes varying from –0.40 to -0.70, the protected Acacia woodland displayed a stable population structure due to abundance of recruitment, and coppicing persistence (more common in the subgenus Aculeiferum) favoured by early annual fire. Consequently, the protected areas are favourable for Acacia woodland regeneration. Conversely, SCD slopes are positive or close to zero in areas of anthropogenic regime and showed a declining population, especially more marked with the subgenus Acacia due to permanent seed and seedling removal by livestock grazing. Nevertheless, the number of seedlings of some species was higher in areas under human pressure than in protected areas, especially for the subgenus Aculeiferum, improving the genetic variability and thus the long-term maintenance of the population. Key words: Acacia, early fire, land use, sudano-sahelien zone
This study presents a global scale analysis of cropping intensity, crop duration and fallow land extent computed by using the global dataset on monthly irrigated and rainfed crop areas MIRCA2000. MIRCA2000 was mainly derived from census data and crop calendars from literature. Global cropland extent was 16 million km2 around the year 2000 of which 4.4 million km2 (28%) was fallow, resulting in an average cropping intensity of 0.82 for total cropland extent and of 1.13 when excluding fallow land. The lowest cropping intensities related to total cropland extent were found for Southern Africa (0.45), Central America (0.49) and Middle Africa (0.54), while highest cropping intensities were computed for Eastern Asia (1.04) and Southern Asia (1.0). In remote or arid regions where shifting cultivation is practiced, fallow periods last 3–10 years or even longer. In contrast, crops are harvested two or more times per year in highly populated, often irrigated tropical or subtropical lowlands where multi-cropping systems are common. This indicates that intensification of agricultural land use is a strategy that may be able to significantly improve global food security. There exist large uncertainties regarding extent of cropland, harvested crop area and therefore cropping intensity at larger scales. Satellite imagery and remote sensing techniques provide opportunities for decreasing these uncertainties and to improve the MIRCA2000 inventory.
The development of conservation strategies to mitigate the impact of invasive species requires knowledge of the species ecology and distribution. This is, however, often lacking as collecting biological data may be both time-consuming and resource intensive. Species distribution models can offer a solution to this dilemma by analysing the species-environment relationship with help of Geographic information systems (GIS). In this study, we model the distribution of the non-native bush-cricket Metrioptera roeselii in the agricultural landscape in mid-Sweden where the species has been rapidly expanding in its range since the 1990s. We extract ecologically relevant landscape variables from Swedish CORINE land-cover maps and use species presence-absence data from large-scale surveys to construct a species distribution model (SDM). The aim of the study is to increase the knowledge of the species range expansion pattern by examining how its distribution is affected by landscape composition and structure, and to evaluate SDM performance at two different spatial scales. We found that models including data on a scale of 1 × 1 km were able to explain more of the variation in species distribution than those on the local scale (10 m buffer on each side of surveyed road). The amount of grassland in the landscape, estimated from the area of arable land, pasture and rural settlements, was a good predictor of the presence of the species on both scales. The measurements of landscape structure – linear elements and fragmentation - gave ambivalent results which differed from previous small scaled studies on species dispersal behaviour and occupancy patterns. The models had good predictive ability and showed that areas dominated by agricultural fields and their associated grassland edges have a high probability being colonised by the species. Our study identified important landscape variables that explain the distribution of M. roeselii in Mid-Sweden that may also be important to other range expanding orthopteran species. This work will serve as a foundation for future analyses of species spread and ecological processes during range expansion.
Aim: The identification of the mechanisms determining spatial variation in biological diversity along elevational gradients is a central objective in ecology and biogeography. Here, we disentangle the direct and indirect effects of abiotic drivers (climatic conditions, and land use) and biotic drivers (vegetation structure and food resources) on functional diversity and composition of bird and bat assemblages along a tropical elevational gradient. Location: Southern slopes of Mt. Kilimanjaro, Tanzania, East Africa. Methods: We counted birds and recorded bat sonotypes on 58 plots distributed in near-natural and anthropogenically modified habitats from 700 to 4,600 m above sea level. For the recorded taxa, we compiled functional traits related to movement, foraging and body size from museum specimens and databases. Further, we recorded mean annual temperature, precipitation, vegetation complexity as well as the number of fruits, flowers, and insect biomass as measures of resource availability on each study site. Results: Using path analyses, we found similar responses of bird and bat functional diversity to the variation in abiotic and biotic drivers along the elevational gradient. In contrast, the functional composition of both taxa showed distinct responses to abiotic and biotic drivers. For both groups, direct temperature effects were most important, followed by resource availability, precipitation and vegetation complexity. Main Conclusions: Our findings indicate that physiological and metabolic constraints imposed by temperature and resource availability determine the functional diversity of bird and bat assemblages, whereas the composition of individual functional traits is driven by taxon-specific processes. Our study illustrates that distinct filtering mechanisms can result in similar patterns of functional diversity along broad environmental gradients. Such differences need to be taken into account when it comes to conserving the functional diversity of flying vertebrates on tropical mountains.
Africa's protected areas (PAs) are the last stronghold of the continent's unique biodiversity, but they appear increasingly threatened by climate change, substantial human population growth, and land-use change. Conservation planning is challenged by uncertainty about how strongly and where these drivers will interact over the next few decades. We investigated the combined future impacts of climate-driven vegetation changes inside African PAs and human population densities and land use in their surroundings for 2 scenarios until the end of the 21st century. We used the following 2 combinations of the shared socioeconomic pathways (SSPs) and representative greenhouse gas concentration pathways (RCPs): the “middle-of-the-road” scenario SSP2–RCP4.5 and the resource-intensive “fossil-fueled development” scenario SSP5–RCP8.5. Climate change impacts on tree cover and biome type (i.e., desert, grassland, savanna, and forest) were simulated with the adaptive dynamic global vegetation model (aDGVM). Under both scenarios, most PAs were adversely affected by at least 1 of the drivers, but the co-occurrence of drivers was largely region and scenario specific. The aDGVM projections suggest considerable climate-driven tree cover increases in PAs in today's grasslands and savannas. For PAs in West Africa, the analyses revealed climate-driven vegetation changes combined with hotspots of high future population and land-use pressure. Except for many PAs in North Africa, future decreases in population and land-use pressures were rare. At the continental scale, SSP5–RCP8.5 led to higher climate-driven changes in tree cover and higher land-use pressure, whereas SSP2–RCP4.5 was characterized by higher future population pressure. Both SSP–RCP scenarios implied increasing challenges for conserving Africa's biodiversity in PAs. Our findings underline the importance of developing and implementing region-specific conservation responses. Strong mitigation of future climate change and equitable development scenarios would reduce ecosystem impacts and sustain the effectiveness of conservation in Africa.
Biodiversity continues to decline in the face of increasing anthropogenic pressures such as habitat destruction, exploitation, pollution and introduction of alien species. Existing global databases of species’ threat status or population time series are dominated by charismatic species. The collation of datasets with broad taxonomic and biogeographic extents, and that support computation of a range of biodiversity indicators, is necessary to enable better understanding of historical declines and to project – and avert – future declines. We describe and assess a new database of more than 1.6 million samples from 78 countries representing over 28,000 species, collated from existing spatial comparisons of local-scale biodiversity exposed to different intensities and types of anthropogenic pressures, from terrestrial sites around the world. The database contains measurements taken in 208 (of 814) ecoregions, 13 (of 14) biomes, 25 (of 35) biodiversity hotspots and 16 (of 17) megadiverse countries. The database contains more than 1% of the total number of all species described, and more than 1% of the described species within many taxonomic groups – including flowering plants, gymnosperms, birds, mammals, reptiles, amphibians, beetles, lepidopterans and hymenopterans. The dataset, which is still being added to, is therefore already considerably larger and more representative than those used by previous quantitative models of biodiversity trends and responses. The database is being assembled as part of the PREDICTS project (Projecting Responses of Ecological Diversity In Changing Terrestrial Systems – www.predicts.org.uk). We make site-level summary data available alongside this article. The full database will be publicly available in 2015.
In der vorliegenden Studie werden Heuschreckengemeinschaften durch quantitative Erfassungen in feinstrukturell untersuchten Habitaten detailliert beschrieben. Wichtige Merkmale sind dabei Stetigkeit und Dominanz einzelner Heuschreckenarten bzw. Deckung, Höhe und Dichte der Vegetation in den Lebensräumen.
Für sechs Strukturtypen aus Silikatmagerrasen und Grünland trockener Standorte erfolgt die Abgrenzung von Heuschreckengemeinschaften nach dem Leitartenprinzip. Die „Gemeinschaft der Schiefergrusfluren“ (Typ 1) besiedelt sehr lückige Magerrasen und ist artenarm mit Myrmeleotettix maculatus als eudominanter Leitart. Weitere fünf Zönosen unterscheiden sich durch das Vorkommen der phytophilen Differentialarten Chorthippus parallelus und Omocestus viridulus von den Schiefergrusfluren: Die „Gemeinschaft der offenen, niedrigen Horstgrasrasen“ (Typ 2) wird charakterisiert durch die hochstete, eudominante Leitart Stenobothrus stigmaticus. Zwei Zönosen, in denen Stenobothrus lineatus als gemeinsame Leitart hochstet vorkommt, lassen sich für „dichte, niedrige Horstgrasrasen“ (Typ 3) abgrenzen. Auf extensiv beweideten Flächen (Typ 3.1) kommen Stenobothrus nigromaculatus, S. stigmaticus und Decticus verrucivorus als weitere Leitarten vor; diese Arten fehlen auf Brachen (Typ 3.2). Mit Chorthippus parallelus und C. biguttulus sind zwei eurytope Heuschrecken in „dichten, hohen Horstgrasbeständen“ (Typ 4) hochstet; Leitarten hat dieser Strukturtyp nicht. Metrioptera roeselii kennzeichnet als Differentialart „dichte Obergrasbestände“ (Typ 5).
Die Besiedlungsschwerpunkte einzelner Arten in verschiedenen Strukturtypen sind auf die Habitatpräferenzen der Heuschrecken zurückzuführen. Auch die Bewirtschaftung ist entscheidend. Sie beeinflusst die Raumstruktur und damit das Mikroklima und wirkt sich auf die Populationsdynamik der Heuschrecken aus. Mit steigender Nutzungsintensität kommt es zu einer starken Abnahme der Individuendichten.
The relationship of anuran breeding site biodiversity to land use was examined in southeast Kansas, USA. Eight breeding pools or temporary ponds were sampled from March to July 1995. Each site has some adjacent woodland, but varied in the remaining adjacent land use. Two sites were relatively unimpacted reference or “natural” sites, two were impacted by abandoned coal or lead/zinc mines, and four were impacted by cropland. Adult density was determined with visual and audio censuses. Tadpoles were examined for malformations and density was estimated. Eggs were collected from the sites, hatched in the laboratory, and examined for malformations. Total audio anuran density was statistically higher (ANOVA, P<0.05) in natural area breeding pools (1,048.7/ha) compared to pools in agricultural (519.0/ha) and mined areas (164.8/ha). Visual densities followed the same pattern (459.9/ha natural > 315.1/ha agricultural > 262.0/ha mined) but were not statistically different. Tadpole densities were significantly (P<0.05) higher in natural area breeding pools (137.6/m2) compared to agricultural (59.4/m2) and mined areas (28.5/m2). The percentage of tadpoles with malformations was significantly lower (P<0.05) in natural areas (0.4%) compared to agricultural (4.6%) and mining (8.3%). Malformations found in the field included spinal cord, optic, edemas, and tumors. Eggs incubated from natural sites had significantly (P<0.05) higher percentages of eggs hatching successfully (98.8%) and lower percentages of tadpoles with malformations (17.5%) than did eggs from agricultural (88.2% and 51.0%, respectively) and mined areas (40.4% and 76.1%, respectively). Eggs incubated from natural sites also had the lowest malformation rate (17.5%) compared to eggs from agricultural sites (51.0%) and mined sites (76.1%), but these differences were not statistically different. These data provide evidence for the link between land use and the individual and population characteristics of anurans in breeding pools.