Evidence map›Paper›PMID 32840701›Full record

ArticleEnvironmental monitoring and assessment2020

Predicting the habitat distribution of rubber plantations with topography, soil, land use, and climatic factors.

Selvaraj Selvalakshmi, Remya Kottarathu Kalarikkal, Xiaodong Yang

Abstract read
PubMed Publisher
In one paragraph

Article in Environmental monitoring and assessment, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

3 authors.

Selvaraj SelvalakshmiCAS Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Mengla, 666303, Yunnan, China.
Remya Kottarathu KalarikkalBiology Department, College of Science, United Arab Emirates University, Al Ain, 15551, UAE.
Xiaodong YangCAS Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Mengla, 666303, Yunnan, China. yangxd@xtbg.ac.cn.

Funding

National Science Foundation of China 41877064
6 · The paper itself

Abstract

Commercial demand is the prerequisite for the expansion of rubber plantation, which is highly dependent on climate, topography, and soil factors. Without the contextual knowledge on these factors, the expansion of rubber plantation would remain unproductive. This study thereby aimed to evaluate the current and future suitable habitat distributions of rubber using maximum entropy (MaxEnt) species distribution model in Xishuangbanna, Southwest China. A total of 148 field-based presence locations and environmental variables (soil, bioclimatic, topography, and land use) were used to predict the suitable areas of rubber plantations using HadGEM2-ES climate model. Medium and high climatic representative concentration pathways (RCPs) (4.5 and 8.5) were selected to predict the suitable habitats for the years 2050 and 2070. Among various factors, annual mean temperature, annual precipitation, precipitation of wettest month, precipitation seasonality, precipitation of warmest quarter, and soil exchangeable H

Indexed as

RubberSoilChinaEcosystemEnvironmental MonitoringRubberSoilClimate changeConservationHabitat suitabilityMaxEntRubber plantation

Identifiers

PMID32840701

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.