Mineral lick distribution modeling and NW Amazon conservation planning alternatives

2021 ◽  
Author(s):  
Eduardo Molina González ◽  
William Agudelo Henríquez ◽  
Dolors Armenteras-Pascual
Keyword(s):  
Conservation Planning ◽  
Distribution Modeling ◽  
Mineral Lick

scholarly journals Invasive Plants Distribution Modeling: A Tool for Tropical Biodiversity Conservation With Special Reference to Sri Lanka

2019 ◽  
Vol 12 ◽  
pp. 194008291986426 ◽  
Author(s):  
Champika S. Kariyawasam ◽  
Lalit Kumar ◽  
Sujith S. Ratnayake
Keyword(s):  
Sri Lanka ◽  
Strategic Management ◽  
Invasive Plants ◽  
Conservation Planning ◽  
Habitat Preferences ◽  
Plant Invasions ◽  
Tropical Biodiversity ◽  
Distribution Modeling ◽  
Data Gap ◽  
Control And Management

The potential threats and habitat preferences of noxious plants in tropical countries are poorly known. Species distribution modeling (SDM) is a robust tool that can be used in conservation planning for early detection of invasion risks. However, the use of SDM for the strategic management of increasing risks of such plant invasions in Sri Lanka has not been undertaken due to several underlying reasons including the long-lasting data gap, technical, technological, and financial issues. In addition, the literature relevant to SDM applications in the country is substantially poor, scattered, and unpublished. Therefore, in this article, we explore SDM applications relevant to invasive plants in Sri Lanka with implications similar to other countries in the tropics. We examine the challenges and potentials for utilization of SDM technology in conservation planning in Sri Lanka and discuss data gap as a major obstacle. We also identify the potential SDM interventions relevant to invasive plants control and management in Sri Lanka and recommend conservation planners to prioritize them and apply for the strategic management of invasive plants in Sri Lanka. Finally, we suggest some recommendations to make an enabling environment in relevant institutions for the utilization of SDM technology in ecosystem management planning in Sri Lanka.

scholarly journals Species Distribution Modeling in the Tropics: Problems, Potentialities, and the Role of Biological Data for Effective Species Conservation

2009 ◽  
Vol 2 (3) ◽  
pp. 319-352 ◽  
Author(s):  
L. Cayuela ◽  
D. J. Golicher ◽  
A. C. Newton ◽  
M. Kolb ◽  
F. S. de Alburquerque ◽  
...  
Keyword(s):  
Quality Control ◽  
Data Quality ◽  
Central America ◽  
Species Distribution ◽  
Conservation Planning ◽  
Tree Species ◽  
Species Distribution Modeling ◽  
Tropical Regions ◽  
Distribution Modeling ◽  
The Tropics

In this paper we aim to investigate the problems and potentialities of species distribution modeling (SDM) as a tool for conservation planning and policy development and implementation in tropical regions. We reviewed 123 studies published between 1995 and 2007 in five of the leading journals in ecology and conservation, and examined two tropical case studies in which distribution modeling is currently being applied to support conservation planning. We also analyzed the characteristics of data typically used for fitting models within the specific context of modeling tree species distribution in Central America. The results showed that methodological papers outnumbered reports of SDMs being used in an applied context for setting conservation priorities, particularly in the tropics. Most applications of SDMs were in temperate regions and biased towards certain organisms such as mammals and birds. Studies from tropical regions were less likely to be validated than those from temperate regions. Unpublished data from two major tropical case studies showed that those species that are most in need of conservation actions, namely those that are the rarest or most threatened, are those for which SDM is least likely to be useful. We found that only 15% of the tree species of conservation concern in Central America could be reliably modelled using data from a substantial source (Missouri Botanical Garden VAST database). Lack of data limits model validation in tropical areas, further restricting the value of SDMs. We concluded that SDMs have a great potential to support biodiversity conservation in the tropics, by supporting the development of conservation strategies and plans, identifying knowledge gaps, and providing a tool to examine the potential impacts of environmental change. However, for this potential to be fully realized, problems of data quality and availability need to be overcome. Weaknesses in current biological datasets need to be systematically addressed, by increasing collection of field survey data, improving data sharing and increasing structural integration of data sources. This should include use of distributed databases with common standards, referential integrity, and rigorous quality control. Integration of data management with SDMs could significantly add value to existing data resources by improving data quality control and enabling knowledge gaps to be identified.

Otter ( Lutra lutra ) distribution modeling at two resolution scales suited to conservation planning in the Iberian Peninsula

2003 ◽  
Vol 114 (3) ◽  
pp. 377-387 ◽  
Author(s):  
A. Márcia Barbosa ◽  
Raimundo Real ◽  
Jesús Olivero ◽  
J. Mario Vargas
Keyword(s):  
Iberian Peninsula ◽  
Conservation Planning ◽  
Lutra Lutra ◽  
Distribution Modeling

Multispecies and Watershed Approaches to Freshwater Fish Conservation

2019 ◽  
Keyword(s):  
Random Forest ◽  
Conservation Planning ◽  
Protected Area ◽  
Regression Trees ◽  
Boosted Regression Trees ◽  
Species Occurrence ◽  
Distribution Modeling ◽  
Occurrence Data ◽  
Forest Models ◽  
Random Forest Models

<em>Abstract</em>.—Systematic conservation planning tools offer powerful and flexible means for addressing the protection of biodiversity in freshwater systems. Tools such as the software Zonation can be used to prioritize streams for protection, restoration, and management of aquatic resources. The flexible nature of these tools allow analyses to be tailored to specific objectives but also introduces uncertainty regarding the effects of selected input options on the rankings of stream segments and the representation of fish species within prioritized streams. The objective of our research was to evaluate the effectiveness of several species distribution modeling techniques (generalized additive models, multivariate adaptive regression splines, boosted regression trees, and random forest models, including an ensemble based on these techniques) for characterizing distributions of fish communities and to identify the influence of different prioritization options of Zonation conservation planning software within five input classes (species occurrence data, removal rule, species weighting, connectivity, and protected area masking) on both the resulting stream segment rankings and the representation of species within priority streams. All combinations of input options were compared based on the correlation and congruence of stream rankings and the mean richness of species, minimum level of species representation, and representation of rare species within streams across priority levels. Of the distribution modeling types we evaluated, boosted regression trees performed the best, followed closely by random forest models. The use of an ensemble approach allowed for the largest number of species with robust predicted distributions. Our results also suggested that protected area masking had the largest effects on conservation priority results, followed by choice of removal rule, while species occurrence data type had limited impacts. The information contained in this chapter is meant to aid planners in understanding how their selection of conservation planning inputs is likely to impact results.

Using species distribution modeling to improve conservation of medicinal plants in Southwest China

Planta Medica ◽  
2016 ◽  
Vol 81 (S 01) ◽  
pp. S1-S381
Author(s):  
B Liu ◽  
F Li ◽  
Z Guo ◽  
L Hong ◽  
W Huang ◽  
...  
Keyword(s):  
Medicinal Plants ◽  
Species Distribution ◽  
Southwest China ◽  
Species Distribution Modeling ◽  
Distribution Modeling

The Archaeology of the Peel Island Lazaret: Part 1: Survey

2002 ◽  
Vol 13 ◽  
pp. 31 ◽  
Author(s):  
Jonathan Prangnell
Keyword(s):  
Conservation Planning ◽  
Archaeological Survey ◽  
Landscape Modification ◽  
Moreton Bay ◽  
Nineteenth And Twentieth Centuries ◽  
Southeast Queensland

<p>An archaeological survey on Peel Island in Moreton Bay, southeast Queensland, was conducted to assist the conservation planning for the Peel Island Lazaret (PIL), one of a number of institutions housed on the island during the nineteenth and twentieth centuries. The survey revealed a patterning of artefacts across the island as well as landscape modification related to its Aboriginal and European institutional uses.</p>

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