Dataset Information

Baikalsky State Nature Biosphere Reserve and its buffer zone: floristic data.

ABSTRACT:

Background

Baikalsky State Nature Biosphere Reserve is situated in the central part of the Khamar-Daban Range (Southern Baikal, Siberia), in three administrative districts of Republic of Buryatia (i.e. Kabansky District, Dzhidinsky District and Selenginsky District), Russia. In general, this territory has been relatively well studied by botanists, but until now there was no detailed information about the flora of the Reserve with precise geographic localities. Moreover, some records in the Baikalsky Reserve's flora were published without references to documenting herbarium specimens.

New information

The dataset contains 39,238 unique occurrences of 875 taxa (854 species, 14 subspecies, five varieties and two species aggregates) from the Baikalsky Reserve and its buffer zone. All the data were acquired during the field studies by the author in 2009-2021, when 152 taxa (17.3% of all the taxa included into the dataset) were first recorded by the author from the study area. Herbarium vouchers are preserved in the Moscow University Herbarium (MW). This dataset is the first attempt at creating a database of vascular plants of the Baikalsky Reserve and its buffer zone, based on modern research. These data will provide the background for the updated check-list of the Baikalsky Reserve's flora.

SUBMITTER: Gamova NS

PROVIDER: S-EPMC8758634 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:BackgroundHuman-wildlife conflict (HWC) is any interaction between humans and wildlife that arises when wildlife necessities encroach on those of the human population. It affects all areas where animal and peoples cohabit regardless of geography or climatic circumstances; but the burden is great in developing nations. De Brazza's monkey (DM) (Cercopithecus neglectus) is one of the most unusual species in the group of Old-World monkeys commonly known as guenons. The De Brazza's monkey is distributed in different parts of African forests from Guinea to Ethiopia. This study was conducted in Kafa Biosphere Reserve, Kafa Zone, South West Ethiopia, to assess the causes of human wildlife conflict in the area. The methods used were, household questionnaire, focus group discussion and direct field observation from June 2022 to May 2023.ResultsThe study revealed that the major causes of human De Brazza's monkey conflicts were; habitat destruction 52.9%, (n = 72), human proximity to natural forest, 25.7%, (n = 35) and increasing of its population size 8.1 %, (n = 11). These monkeys' raids crop usually early in the morning 42.6%, (n = 58), and late evening 29.4%, (n = 40). Maize was the most damaged crop by De Brazza's monkey followed by coffee. The study also confirmed that guarding was the most common method used to protect crops from crop raiding wildlife in the area. Majority 66.2%, (n= 90) of the informants had negative attitude but 22.1%, (n = 30) had positive attitude towards De Brazza's monkey conservation.ConclusionThe study discovered that, in contrast to olive baboons and grivet monkeys in the area, De Brazza's monkeys were not previously identified as crop raiders; however, they are currently causing damage to crops, especially maize and coffee crops. This could be due to habitat destruction and human proximity to the forest boundary. Thus, the conflict between humans and De Brazza's monkeys is escalating. As such, we recommended more research on the population status of the monkeys and strategies for coexist in the area.

Project description:BackgroundClimate change has been widely accepted as one of the major threats for global biodiversity and understanding its potential effects on species distribution is crucial to optimise conservation planning in future scenarios under global change. Integrating detailed climatic data across spatial and temporal scales into species distribution modelling can help to predict potential changes in biodiversity. Consequently, this type of data can be useful for developing efficient biodiversity management and conservation planning. The provision of such data becomes even more important in highly biodiverse regions, currently suffering from climatic and landscape changes. The Transboundary Biosphere Reserve of Meseta Ibérica (BRMI; Portugal-Spain) is one of the most relevant reserves for wildlife in Europe. This highly diverse region is of great ecological and socio-economical interest, suffering from synergistic processes of rural land abandonment and climatic instabilities that currently threaten local biodiversity.Aiming to optimise conservation planning in the Reserve, we provide a complete dataset of historical and future climate models (1 x 1 km) for the BRMI, used to build a series of distribution models for 207 vertebrate species. These models are projected for 2050 under two climate change scenarios. The climatic suitability of 52% and 57% of the species are predicted to decrease under the intermediate and extreme climatic scenarios, respectively. These models constitute framework data for improving local conservation planning in the Reserve, which should be further supported by implementing climate and land-use change factors to increase the accuracy of future predictions of species distributions in the study area.New informationHerein, we provide a complete dataset of state-of-the-art historical and future climate model simulations, generated by global-regional climate model chains, with climatic variables resolved at a high spatial resolution (1 × 1 km) over the Transboundary Biosphere Reserve of Meseta Ibérica. Additionally, a complete series of distribution models for 207 species (168 birds, 24 reptiles and 15 amphibians) under future (2050) climate change scenarios is delivered, which constitute framework data for improving local conservation planning in the reserve.

Dataset Information

Baikalsky State Nature Biosphere Reserve and its buffer zone: floristic data.

Background

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