Evidence map›Paper›PMID 38306349›Full record

ArticlePloS one2024

Quo vadis, smallholder forest landscape? An introduction to the LPB-RAP model.

Sonja Holler, Daniel Kübler, Olaf Conrad, Oliver Schmitz, Carmelo Bonannella, Tomislav Hengl, Jürgen Böhner, Sven Günter, Melvin Lippe

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Sonja HollerThünen Institute of Forestry, Hamburg, Germany.ORCID 0000-0002-3906-7136
Daniel KüblerThünen Institute of Forestry, Hamburg, Germany.
Olaf ConradCenter for Earth System Research and Sustainability (CEN), Hamburg University, Hamburg, Germany.ORCID 0000-0003-3924-8735
Oliver SchmitzDepartment of Physical Geography, Faculty of Geosciences, Utrecht University, Utrecht, The Netherlands.ORCID 0000-0002-0493-851X
Carmelo BonannellaOpenGeoHub, Wageningen, The Netherlands.ORCID 0000-0002-5391-8427
Tomislav HenglOpenGeoHub, Wageningen, The Netherlands.
Jürgen BöhnerCenter for Earth System Research and Sustainability (CEN), Hamburg University, Hamburg, Germany.
Sven GünterThünen Institute of Forestry, Hamburg, Germany.
Melvin LippeThünen Institute of Forestry, Hamburg, Germany.

Funding

EUROPEAN HORIZON 101059548
6 · The paper itself

Abstract

The impacts of the Anthropocene on climate and biodiversity pose societal and ecological problems that may only be solved by ecosystem restoration. Local to regional actions are required, which need to consider the prevailing present and future conditions of a certain landscape extent. Modeling approaches can be of help to support management efforts and to provide advice to policy making. We present stage one of the LaForeT-PLUC-BE model (Landscape Forestry in the Tropics-PCRaster Land Use Change-Biogeographic & Economic model; in short: LPB) and its thematic expansion module RAP (Restoration Areas Potentials). LPB-RAP is a high-resolution pixel-based scenario tool that relies on a range of explicit land use types (LUTs) to describe various forest types and the environment. It simulates and analyzes future landscape configurations under consideration of climate, population and land use change long-term. Simulated Land Use Land Cover Change (LULCC) builds on dynamic, probabilistic modeling incorporating climatic and anthropogenic determinants as well as restriction parameters to depict a sub-national regional smallholder-dominated forest landscape. The model delivers results for contrasting scenario settings by simulating without and with potential Forest and Landscape Restoration (FLR) measures. FLR potentials are depicted by up to five RAP-LUTs. The model builds on user-defined scenario inputs, such as the Shared Socioeconomic Pathways (SSP) and Representative Concentration Pathways (RCP). Model application is here exemplified for the SSP2-RCP4.5 scenario in the time frame 2018-2100 on the hectare scale in annual resolution using Esmeraldas province, Ecuador, as a case study area. The LPB-RAP model is a novel, heuristic Spatial Decision Support System (SDSS) tool for smallholder-dominated forest landscapes, supporting near-time top-down planning measures with long-term bottom-up modeling. Its application should be followed up by FLR on-site investigations and stakeholder participation across all involved scales.

Indexed as

Conservation of Natural ResourcesEcosystemBiodiversityForestryForests

Identifiers

PMID38306349
PMCPMC10836681

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.