ecogeographic land characterization for cwr diversity and gap analysis workshop - presentation 4
TRANSCRIPT
The ELC approach
Mauricio Parra QuijanoEcogeographic land characterization for CWR diversity and gap analysis Training workshop 26–27 February 2014, Room UG08, Learning Centre, University of Birmingham
in the context of CWR conservation planning: Case studies and perspectives
ELC and species knowledge
The many different environments/adaptive scenarios where the species occur… and
Which of them arefrequent or rare for the target species
Conservation planning - ex situ
Representativeness
ELC MAPS
Ex situ
OptimizedCollecting
Germplasm
Core Collections
(rationalization)
Are there gaps?
Big sizeCollections?
Scarce Resources?
Other(sites to
germplasmMultiplication/regeneration,
FIGS)
In situ
Conservation planning - in situ
Protected areas On farm
Representativeness/complementarity
Genetic Reserves
Establishment
Evaluation of current
P.A. networks conservation
ELCcategory richness
(area and populations)
New P.A.to be
included
Representativeness/complementarity
ELCcategory richness
(area and populations)
Evaluation ofcurrentprojects
Prioritizationof new regions/
communitieswhere to focus
efforts
Study cases Optimized germplasm collecting
Study cases Optimized germplasm collecting
Optimized collectingactivities for two foragewild species in ArgentinaTrichloris crinita and T.Pluriflora (Poaceae)
Image from Marinoni et al., in press
Study cases Ecogeographic core collections
Comparison between phenotypic and Ecogeographical core collections(spanish bean collection)
Study cases Evaluation of current PA for an effective CWR protection
Ecogeographicalrepresentativeness of protected areas networkfor some groups of prioritized CWR species(~200 species)In Spain
Study cases Genetic reserves
Study casesPrioritization of zones/ farm communities to focus on on-farm conservation efforts
Image from Tapia et al., in press
Perspectives – ELC map approach
Include biotic and anthropic data – if possible, and know how to interpret those results
Adapt/create some improved methods to select ecogeographical variables (objective approach)
Introduce climate change aspects – modeled/projected ecogeographical data.
Introduce other methods to determine the optimal number of groups
.
.
.
Cover all the countries and regions (continents and subcontinents)
Facilitate the analysis of administrative units below country level (specially for big countries), providing sub-national ecogeographical information.
Allow the user to enter and use their own ecogeographical variables
Create an application or tool that allows to select the variables that should be selected (objectively)
Introduce qualitative variables (i.e. soil type, vegetation)
Include new components (anthropic/biotic)
Perspectives – “ELC mapas” tool
Thank you