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Expanding tropical forest monitoring into Dry Forests: The DRYFLOR protocol for permanent plots

توسيع نطاق رصد الغابات الاستوائية ليشمل الغابات الجافة: بروتوكول DRYFLOR للأراضي الدائمة

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type 13 Jul 2020 Spain, United Kingdom, Italy, Netherlands, Brazil, Brazil, Spain, United Kingdom, Spain Publisher:WileyJournal:PLANTS, PEOPLE, PLANET, volume 3, pages 295-300 (issn: 2572-2611, eissn: 2572-2611,

Copyright policy )Funded by:UKRI | Nordeste: New science for..., UKRI | Niche evolution of South ..., UKRI | Niche Evolution of South ...

Authors: Desirée M. Ramos; Edmar Almeida de Oliveira; R. Toby Pennington; R. Toby Pennington; Leonel Lopez-Toledo; Ítalo Antônio Cotta Coutinho; Timothy R. Baker; +52 Authors

doi: 10.1002/ppp3.10112 , 10.60692/70b0s-kar60 , 10.60692/h0dze-z0j30

handle: 10261/264620 , 11449/221748 , 20.500.11820/1f2c7128-4ecd-4b59-bdd7-33eb38815299 , 2318/2026850 , 10871/122512 , 20.500.11761/35658

Expanding tropical forest monitoring into Dry Forests: The DRYFLOR protocol for permanent plots

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Abstract

Societal Impact StatementUnderstanding of tropical forests has been revolutionized by monitoring in permanent plots. Data from global plot networks have transformed our knowledge of forests’ diversity, function, contribution to global biogeochemical cycles, and sensitivity to climate change. Monitoring has thus far been concentrated in rain forests. Despite increasing appreciation of their threatened status, biodiversity, and importance to the global carbon cycle, monitoring in tropical dry forests is still in its infancy. We provide a protocol for permanent monitoring plots in tropical dry forests. Expanding monitoring into dry biomes is critical for overcoming the linked challenges of climate change, land use change, and the biodiversity crisis.

Countries

Spain, United Kingdom, Italy, Netherlands, Brazil, Brazil, Spain, United Kingdom, Spain

Related Organizations

Wageningen University & Research
Netherlands
Federal University of Lavras
Brazil
Royal Botanic Garden Edinburgh
United Kingdom
National University of Colombia
Colombia
University of Leeds
United Kingdom

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Keywords

Estrutura da vegetação, Dinâmica da vegetação, Tropical climate, 630, Vegetation dynamics, Agricultural and Biological Sciences, Biodiversity Conservation and Ecosystem Management, Biome, Climate change, GE1-350, Tropical and subtropical dry broadleaf forests, Florestas tropicais secas, Saproxylic Insect Ecology and Forest Management, Environmental resource management, Global and Planetary Change, Geography, Ecology, vegetation dynamics, Life Sciences, Biodiversity, PE&RC, Threatened species, Habitat, Vegetation structure, Archaeology, Physical Sciences, Plantenecologie en Natuurbeheer, Florística, Plant Ecology and Nature Conservation, Environmental science, Tropical dry forests, vegetation structure, Global Forest Transition, Agroforestry, Biology, Ecosystem, Nature and Landscape Conservation, 580, Florestas - Monitoramento, Botany, Tropics, floristics; long term plots; tropical dry forests; vegetation dynamics; vegetation structure, long term plots, Floristics, Natuurbeheer en Plantenecologie, Environmental sciences, QK1-989, Insect Science, FOS: Biological sciences, Environmental Science, tropical dry forests, Nature Conservation and Plant Ecology, Drivers and Impacts of Tropical Deforestation, Long term plots, floristics

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	23
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%