The Himalaya have received little investigation for Phytophthora species. In a remote forest in Western Nepal ten isolates of an unknown Phytophthora were recovered from the rhizosphere of Quercus, Castanopsis, Carpinus and Cupressus spp. The Phytophthora, formally named here as a P. himalsilva sp. nov., is homothallic with either amphigynous or paragynous antheridia and papillate, highly variable sporangia which may also be facultatively caducous. Based on ITS, β-tubulin, and cox I sequences Phytophthora himalsilva falls within Phytophthora Clade 2c together with Phytophthora citrophthora, Phytophthora meadii, Phytophthora colocasiae, and Phytophthora botryosa. It is suggested that Clade 2c has radiated within Asia. Molecular and sporangial characters indicate that P. himalsilva and P. citrophthora may share a recent common ancestor although they have diverged in their breeding systems. Although highly local the P. himalsilva isolates exhibited significant variation in growth rates and optimum temperatures for growth. This may reflect adaptation to different niches within a heterogeneous sub-tropical to temperate forest environment. Their cox I polymorphisms were also rather variable, including possible clustering for subsite. The occurrence of a previously unknown Phytophthora in a remote forest in Nepal highlights once again the plant health risk associated with moving rooted plants and soil between different bio-geographical regions of the world and the need for rapid pathological screening of potential risk organisms.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.funbio.2010.12.013 | DOI Listing |
Sci Rep
December 2024
Departamento de Biodiversidade, Universidade Estadual Paulista, Rio Claro, SP, Brazil.
Ecological Corridors (ECs) are proposed as cost-effective solutions to improve ecological connectivity in fragmented landscapes. Planning the implementation of ECs must take into account landscape features as they affect the viability of the endeavor and the ECs associated costs. A novel set of geoprocessing tools were used to assess (i) economic viability; (ii) socioeconomic cost-effectiveness; and (iii) to determine priority targets for ECs establishment in a highly fragmented region of Atlantic Forest.
View Article and Find Full Text PDFAmbio
December 2024
Center for Space and Remote Sensing Research, Zhongli District, National Central University, Taoyuan City, 32001, Taiwan.
Unsustainable land use practices have led to increased forest loss rates. Implementing cacao agroforestry can reduce forest loss by preventing the clear-cutting of forests for monoculture plantations. However, research is needed on its effectiveness in preventing forest loss and the factors influencing its adoption between full-time and part-time farmers.
View Article and Find Full Text PDFYing Yong Sheng Tai Xue Bao
October 2024
Ningxia Helan Mountain National Nature Reserve Administration, Yinchuan 750021, China.
subsp. is an important resource plant with considerable medicinal, economic, and ecological value, and an indicator species in the transition zones between forests and grasslands. Predicting the potential geographic distribution of subsp.
View Article and Find Full Text PDFYing Yong Sheng Tai Xue Bao
October 2024
School of Resources and Environmental Engineering, Ludong University, Yantai 264025, Shandong, China.
Accurately capturing the spatiotemporal dynamics of regional forest cover and its response to climate change is of great significance for forest resource management and ecological environment protection. We used statistical methods such us linear regression and correlation analysis, as well as remote sensing change monitoring to investigate the spatiotemporal dynamics of forest cover and its response to climate change from 2000 to 2022 in Shandong Province based on MODIS VCF products and meteorological data. The results showed that the forest co-verage and forest area in Shandong Province increased from 43.
View Article and Find Full Text PDFJMIR Form Res
December 2024
thymia, International House, 64 Nile Street, London, N1 7SR, United Kingdom, 44 7477285252.
Background: Anxiety and depression represent prevalent yet frequently undetected mental health concerns within the older population. The challenge of identifying these conditions presents an opportunity for artificial intelligence (AI)-driven, remotely available, tools capable of screening and monitoring mental health. A critical criterion for such tools is their cultural adaptability to ensure effectiveness across diverse populations.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!