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Ecosystem-level carbon storage and its links to diversity, structural and environmental drivers in tropical forests of Western Ghats, India.

Author(s): Kothandaraman S, Dar JA, Sundarapandian S, Dayanandan S, Khan ML

Sci Rep. 2020 Aug 10;10(1):13444 Authors: Kothandaraman S, Dar JA, Sundarapandian S, Dayanandan S, Khan ML

Article GUID: 32778785

The dark cloud with a silver lining: Assessing the impact of the SARS COVID-19 pandemic on the global environment.

Author(s): Lal P, Kumar A, Kumar S, Kumari S, Saikia P, Dayanandan A, Adhikari D, Khan ML

Sci Total Environ. 2020 May 08;732:139297 Authors: Lal P, Kumar A, Kumar S, Kumari S, Saikia P, Dayanandan A, Adhikari D, Khan ML

Article GUID: 32408041

Late-spring frost risk between 1959 and 2017 decreased in North America but increased in Europe and Asia.

Author(s): Zohner CM, Mo L, Renner SS, Svenning JC, Vitasse Y, Benito BM, Ordonez A, Baumgarten F, Bastin JF, Sebald V, Reich PB, Liang J, Nabuurs GJ, ...

Late-spring frosts (LSFs) affect the performance of plants and animals across the world's temperate and boreal zones, but despite their ecological and economic impact on agriculture and forestr...

Article GUID: 32393624

Genetic structure and diversity of indigenous rice (Oryza sativa) varieties in the Eastern Himalayan region of Northeast India.

Author(s): Choudhury B, Khan ML, Dayanandan S

Springerplus. 2013 Dec;2(1):228 Authors: Choudhury B, Khan ML, Dayanandan S

Article GUID: 23741655

Functional androdioecy in critically endangered Gymnocladus assamicus (Leguminosae) in the Eastern Himalayan Region of Northeast India.

Author(s): Choudhury BI, Khan ML, Dayanandan S

PLoS One. 2014;9(2):e87287 Authors: Choudhury BI, Khan ML, Dayanandan S

Article GUID: 24586267

Patterns of nucleotide diversity and phenotypes of two domestication related genes (OsC1 and Wx) in indigenous rice varieties in Northeast India.

Author(s): Choudhury BI, Khan ML, Dayanandan S

BMC Genet. 2014 Jun 16;15:71 Authors: Choudhury BI, Khan ML, Dayanandan S

Article GUID: 24935343

Genetic relatedness among indigenous rice varieties in the Eastern Himalayan region based on nucleotide sequences of the Waxy gene.

Author(s): Choudhury BI, Khan ML, Dayanandan S

BMC Res Notes. 2014 Dec 29;7:953 Authors: Choudhury BI, Khan ML, Dayanandan S

Article GUID: 25547027


Title:Late-spring frost risk between 1959 and 2017 decreased in North America but increased in Europe and Asia.
Authors:Zohner CMMo LRenner SSSvenning JCVitasse YBenito BMOrdonez ABaumgarten FBastin JFSebald VReich PBLiang JNabuurs GJde-Miguel SAlberti GAntón-Fernández CBalazy RBrändli UBChen HYHChisholm CCienciala EDayanandan SFayle TMFrizzera LGianelle DJagodzinski AMJaroszewicz BJucker TKepfer-Rojas SKhan MLKim HSKorjus HJohannsen VKLaarmann DLang MZawila-Niedzwiecki TNiklaus PAPaquette APretzsch HSaikia PSchall PŠeben VSvoboda MTikhonova EViana HZhang CZhao XCrowther TW
Link:https://www.ncbi.nlm.nih.gov/pubmed/32393624
DOI:10.1073/pnas.1920816117
Category:Proc Natl Acad Sci U S A
PMID:32393624
Dept Affiliation: BIOLOGY
1 Institute of Integrative Biology, ETH Zurich (Swiss Federal Institute of Technology), 8092 Zurich, Switzerland; constantin.zohner@t-online.de.
2 Institute of Integrative Biology, ETH Zurich (Swiss Federal Institute of Technology), 8092 Zurich, Switzerland.
3 Systematic Botany and Mycology, Department of Biology, Ludwig Maximilian University of Munich, 80638 Munich, Germany.
4 Center for Biodiversity Dynamics in a Changing World (BIOCHANGE), Department of Biology, Aarhus University, DK-8000 Aarhus C, Denmark.
5 Section for Ecoinformatics and Biodiversity, Department of Biology, Aarhus University, DK-8000 Aarhus C, Denmark.
6 Swiss Federal Institute for Forest, Snow and Landscape Research WSL, CH-8903 Birmensdorf, Switzerland.
7 Department of Biological Sciences, University of Bergen, 5020 Bergen, Norway.
8 Copernicus Institute of Sustainable Development, University of Utrecht, 3584 CS Utrecht, The Netherlands.
9 Computational and Applied Vegetation Ecology Lab, Department of Applied Ecology and Environmental Biology, Faculty of Bioscience Engineering, Ghent University, Ghent 9000, Belgium.
10 Department of Forest Resources, University of Minnesota, St. Paul, MN 55108.
11 Hawkesbury Institute for the Environment, Western Sydney University, Penrith NSW 2753, Australia.
12 Lab of Forest Advanced Computing and Artificial Intelligence, Department of Forestry and Natural Resources, Purdue University, West Lafayette, IN 47907.
13 Wageningen Environmental Research, Wageningen University and Research, 6700AA, Wageningen, The Netherlands.
14 Forest Ecology and Forest Management, Wageningen University and Research, 6700AA, Wageningen, The Netherlands.
15 Department of Crop and Forest Sciences, University of Lleida, E25198 Lleida, Spain.
16 Joint Research Unit, Forest Science and Technology Centre of Catalonia CTFC-Centre for Research in Agrotechnology, E25280, Solsona, Spain.
17 Department of Agricultural, Food, Environmental and Animal Sciences, University of Udine, 33100 Udine, Italy.
18 Institute of BioEconomy, National Research Council, 50019 Florence, Italy.
19 Division of Forestry and Forest Resources NIBIO, Norwegian Institute of Bioeconomy Research, NO-1431 Ås, Norway.
20 Department of Geomatics, Forest Research Institute, Sekocin Stary, 05-090 Raszyn, Poland.
21 Swiss National Forest Inventory, Swiss Federal Institute for Forest, Snow and Landscape Research WSL, CH-8903 Birmensdorf, Switzerland.
22 Faculty of Natural Resources Management, Lakehead University, Thunder Bay, ON P7B 5E1, Canada.
23 Key Laboratory for Humid Subtropical Eco-geographical Processes of the Ministry of Education, School of Geographical Sciences, Fujian Normal University, 350117 Fujian, China.
24 Institute of Forest Ecosystem Research IFER, CZ 254 01 Jilove u Prahy, Czech Republic.
25 Global Change Research Institute, Czech Academy of Sciences, CZ 603 00 Brno, Czech Republic.
26 Centre for Structural and Functional Genomics, Biology Department, Concordia University, Montreal, QC H4B 1R6, Canada.
27 Quebec Centre for Biodiversity Science, Biology Department, Concordia University, Montreal, QC H4B 1R6, Canada.
28 Biology Centre of the Czech Academy of Sciences, Institute of Entomology, 370 05 Ceske Budejovice, Czech Republic.
29 Institute for Tropical Biology and Conservation, Universiti Malaysia Sabah, 88400 Kota Kinabalu, Sabah, Malaysia.

Description:

Late-spring frosts (LSFs) affect the performance of plants and animals across the world's temperate and boreal zones, but despite their ecological and economic impact on agriculture and forestry, the geographic distribution and evolutionary impact of these frost events are poorly understood. Here, we analyze LSFs between 1959 and 2017 and the resistance strategies of Northern Hemisphere woody species to infer trees' adaptations for minimizing frost damage to their leaves and to forecast forest vulnerability under the ongoing changes in frost frequencies. Trait values on leaf-out and leaf-freezing resistance come from up to 1,500 temperate and boreal woody species cultivated in common gardens. We find that areas in which LSFs are common, such as eastern North America, harbor tree species with cautious (late-leafing) leaf-out strategies. Areas in which LSFs used to be unlikely, such as broad-leaved forests and shrublands in Europe and Asia, instead harbor opportunistic tree species (quickly reacting to warming air temperatures). LSFs in the latter regions are currently increasing, and given species' innate resistance strategies, we estimate that ~35% of the European and ~26% of the Asian temperate forest area, but only ~10% of the North American, will experience increasing late-frost damage in the future. Our findings reveal region-specific changes in the spring-frost risk that can inform decision-making in land management, forestry, agriculture, and insurance policy.

PMID: 32393624 [PubMed - indexed for MEDLINE]