As interest in restoring tropical forests surges, so does the need for effective methods to ensure success. The framework species method (FSM) restores forest ecosystems by densely planting open sites, close to natural forest, with woody species, indigenous to the reference ecosystem and selected for their ability to accelerate ecological succession. Criteria for selecting framework species include: (i) representative of the reference forest ecosystem, (ii) tolerant of open conditions, (iii) ability to suppress weeds, (iv) attractiveness to seed-dispersing animals and (v) easily propagated. The method is effective where forest remnants and viable populations of seed dispersers remain. The origins and elements of the FSM are discussed. We review its adoption in 12 countries. Adherence to original principles was mostly high, but some misuse of the term was evident. The need for clearer definitions was identified. We place the FSM on a scale of restoration methods, matched with degradation levels and compare its establishment costs with those of other methods. Obstacles to its wider adoption, both technical and socio-economic, are discussed, along with how these might be overcome. Finally, the FSM is more clearly defined to facilitate its use in contributing towards the goals of the UN Decade on Restoration. This article is part of the theme issue 'Understanding forest landscape restoration: reinforcing scientific foundations for the UN Decade on Ecosystem Restoration'.
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http://dx.doi.org/10.1098/rstb.2021.0073 | DOI Listing |
Plant Divers
November 2024
Germplasm Bank of Wild Species & Yunnan Key Laboratory of Crop Wild Relatives Omics, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming 650201, China.
The angiosperm family Elaeagnaceae comprises three genera and . 100 species distributed mainly in Eurasia and North America. Little family-wide phylogenetic and biogeographic research on Elaeagnaceae has been conducted, limiting the application and preservation of natural genetic resources.
View Article and Find Full Text PDFBMC Genomics
January 2025
College of Animal Science, Inner Mongolia Agricultural University, Hohhot, 010018, China.
Background: Identifying markers or genes crucial for growth traits in Zhongwei goats is pivotal for breeding. Pinpointing genetic factors linked to body size gain enhances breeding efficiency and economic value. In this study, we used the MGISEQ-T7 platform to re-sequence 240 Zhongwei goats (133 male; 107 female) belonging to 5 metrics of growth traits at different growth stages (40 days and 6 months, here in after referred to as 40d and 6 m), namely, Body Weight (BW), Body Height (BH), Body Length (BL), Chest Circumference (CC), Tube Circumference (TC) were examined.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Computer Science, Kebri Dehar University, 250, Kebri Dehar, Ethiopia.
The Internet of Things (IoT)-based smart solutions have been developed to predict water quality and they are becoming an increasingly important means of providing efficient solutions through communication technologies. IoT systems are used for enabling connection between various devices based on the ability to gather and collect information. Furthermore, IoT systems are designed to address the environment and the automation industry.
View Article and Find Full Text PDFNat Commun
January 2025
Department of Brain Sciences, Weizmann Institute of Science, Rehovot, 7610001, Israel.
The evolutionary paths taken by each sex within a given species sometimes diverge, resulting in behavioral differences. Given their distinct needs, the mechanism by which each sex learns from a shared experience is still an open question. Here, we reveal sexual dimorphism in learning: C.
View Article and Find Full Text PDFNat Commun
January 2025
Polar Terrestrial Environmental Systems, Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research, Potsdam, Germany.
During the Pleistocene-Holocene transition, the dominant mammoth steppe ecosystem across northern Eurasia vanished, in parallel with megafauna extinctions. However, plant extinction patterns are rarely detected due to lack of identifiable fossil records. Here, we introduce a method for detection of plant taxa loss at regional (extirpation) to potentially global scale (extinction) and their causes, as determined from ancient plant DNA metabarcoding in sediment cores (sedaDNA) from lakes in Siberia and Alaska over the past 28,000 years.
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