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Arena presentation - Institute of Advanced Studies

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Expert Workshop on Definition <strong>of</strong> Best Indicators for<br />

Biodiversity and Soil Quality<br />

for Life Cycle Assessment (LCA)<br />

12 - 13 June 2006<br />

Towards the identification and<br />

calculation <strong>of</strong> characterization<br />

factors for land use in western<br />

Argentina<br />

<strong>Arena</strong>, A.P., Civit, B.<br />

Universidad Tecnológica Nacional – Facultad Regional Mendoza<br />

Laboratorio de Ambiente Humano y Vivienda – INCIHUSA (CONICET)<br />

2006, International Year <strong>of</strong> Deserts and Desertification,


DESERTIFICATION<br />

“The land degradation in arid, semiarid and sub-humid dry<br />

regions resulting from different factors, such as climatic<br />

variations and human activities (UNCCD, 1995:7)”.<br />

Argentina: : Two thirds <strong>of</strong> its territory presents desertification<br />

symptoms at different degrees.<br />

Mendoza: The artificial oasis represents 2-4% 2<br />

<strong>of</strong> the<br />

provincial area, and concentrates 98,5% <strong>of</strong> the population,<br />

while 98 % <strong>of</strong> the province are lands without irrigation.<br />

The proximate causes identified are: diminution <strong>of</strong> water<br />

volume in rivers due to increasing extraction upstream in the<br />

oasis, expansion <strong>of</strong> agricultural frontier (vineyards), felling<br />

<strong>of</strong> trees from natural forests (Prosopis(<br />

spp,<br />

early XX<br />

century), cattle raising beyond the load capacity <strong>of</strong> fields<br />

(overpasturing)) (Abraham 2004).


IDENTIFICATION OF INDICATORS<br />

However, evidence from empirical case studies shows that<br />

desertification is determined by different combinations <strong>of</strong><br />

proximate causes and underlying driving forces which<br />

include coupled socioeconomic and biophysical factors.<br />

Even though there is consensus in the need <strong>of</strong> account on<br />

indicators and benchmarks, from the methodological point <strong>of</strong><br />

view the problem arises since there are different realities to<br />

compare, and no global set <strong>of</strong> indicators could reveal the<br />

complexity <strong>of</strong> human environment systems inherent to<br />

dryland change (GEIST et al 2004).<br />

For the case <strong>of</strong> Mendoza, based on an interdisciplinary<br />

conception, a first method was structured and applied<br />

(Abraham 2004)


Methodology for the definition <strong>of</strong> Indicators<br />

1) Inventory <strong>of</strong> factors and desertification processes for environmental unit<br />

(ecosystems). Basic information about the physical (abiotic potential),<br />

biological and socio-economical aspects (anthropic use) is acquired (remote<br />

sensing, information from the field) and mapped, organized in a GIS.<br />

2) This information is translated into indicators for obtaining:<br />

the fragility degree <strong>of</strong> the ecosystem for desertification (summing up all<br />

the indicators for the physic-biological support, like salinity and alkalinity<br />

<strong>of</strong> soil, water and wind erosion, soil depth and texture, vegetal cover and<br />

stratification, aridity index, soil freezing).<br />

the degree <strong>of</strong> anthropogenic pressure which is acting over those<br />

ecosystems (summing up all the indicators which are related with the<br />

resources demand from social groups, like population density, animal load,<br />

use <strong>of</strong> wood as fuel, poverty index ).<br />

3) The relationship between the fragility and the anthropogenic pressure for<br />

ecosystem gives the Risk <strong>of</strong> desertification <strong>of</strong> each ecosystem, which shows<br />

the state and the main indicators leading the process, being natural or<br />

anthropogenic.<br />

Map


Program to Combat Desertification and<br />

Drought Mitigation in South America<br />

Participants: Argentina, Bolivia, Brasil, , Chile, Ecuador, Perú<br />

Framework: the same suggested by the European Environmental<br />

Agency: Drivers-Pressure<br />

Pressure-State-Impacts-Responses, , also used in<br />

the MEDRAP, DISMED, DESERTLINK, an others programs.<br />

The different desertification set <strong>of</strong> indicators proposed by each<br />

country are being consolidated. Currently (aggregated list):<br />

•28 State Indicators<br />

•13 Pressure Indicators<br />

•20 Response Indicators<br />

•66 Impact indicators<br />

All <strong>of</strong> them include abiotic (soil, water, climate), biophysical (flora,<br />

fauna), socio-economical (use <strong>of</strong> land, population, poverty), and<br />

institutional and organizational aspects (N° <strong>of</strong> institutions, existence<br />

<strong>of</strong> laws, programs related with land degradation).


Problems to be solved (some <strong>of</strong> them…)<br />

Even though there have being progresses in the definition <strong>of</strong><br />

indicators for measuring the state and risk <strong>of</strong> desertification,<br />

there is no currently a consensus on a set <strong>of</strong> suitable indicators.<br />

The discussion about it is still in progress.<br />

The list <strong>of</strong> indicators is very extensive and must be revised<br />

according to relevant criteria as SMART (Specific,(<br />

Measurable,<br />

Achievable, Relevant and Time-bound (Schomaker(<br />

Schomaker, , 1997)<br />

It assumes a fairly detailed knowledge <strong>of</strong> local aspects<br />

It requires data on the previous history <strong>of</strong> land conversion<br />

There is a paucity <strong>of</strong> knowledge on many <strong>of</strong> these elements.<br />

The aim <strong>of</strong> the indicators developed within the UNCCD<br />

framework (e.g. Production <strong>of</strong> Proposals for regional planning,<br />

establishing zones for possible uses and restrictions) is different<br />

from that <strong>of</strong> LCA. Their list <strong>of</strong> indicators must be adapted for<br />

LCA purposes.


REFERENCES<br />

Abraham, E. (2004) Experiencia Argentina vinculada con la obtención n y<br />

evaluación n de indicadores de desertificación.<br />

La utilización n de indicadores socio-econ<br />

económicos en el estudio y la lucha<br />

contra la desertificación: acuerdos, discrepancias y problemas conceptuales<br />

subyacentes. Torres, L., Montaña, a, E., Abraham, E., Torres, E., Pastor, G.<br />

Urbina, S. In press ub Revista Estudios Interdisciplinarios de América<br />

Latina y el Caribe, , Vol. 16, No. 2 (2005) <strong>Institute</strong> <strong>of</strong> Latin American<br />

History and Culture, Tel Aviv University, Tel Aviv.<br />

Mathilde Snel and Alexandra Bot “Some suggested indicators for Land<br />

Degradation Assessment <strong>of</strong> Drylands”. . LADA project.<br />

GEIST, H., LAMBIN, E. Dynamic Causal Patterns <strong>of</strong> Desertification.<br />

BioScience • September 2004 / Vol. 54 No. 9<br />

ROIG, F. et al., 1983. Documento de base para la elaboración del Plan<br />

Nacional de Acción de Lucha contra la Desertificación. . Mendoza, 78p


Desertification in South America


Risk <strong>of</strong> desertification in Mendoza


Methodology…<br />

5) This methodology gives a picture <strong>of</strong> the situation. In order to be able to<br />

have an evolution <strong>of</strong> the process, a baseline must be obtained, which is<br />

determined using data from historic reports, archeological reports, and reports<br />

from different disciplines (dendrocronology, historic climatology,<br />

etnobothanics, geomorfology, etnohistory, palinology, etc). By comparison <strong>of</strong><br />

historic reports (documental sources, travelers notebooks) with the<br />

environmental ones, it’s possible to assess the changes between the current<br />

situation and the one <strong>of</strong> our base ecosystem.<br />

The indicators have been developed by working with local stakeholders and<br />

taking into account their different perceptions <strong>of</strong> desertification, land use type<br />

and decision-making processes.<br />

The methodology is innovative in that it allows both bottom-up and topdown<br />

flows <strong>of</strong> information. This is fundamental to the success <strong>of</strong> selecting the most<br />

effective land management practices to mitigate land degradation, and<br />

provides indicators for the identification <strong>of</strong> desertification risk, as well as for<br />

management methods and techniques.


Indicators<br />

State Indicators (aridity index, standard index <strong>of</strong> precipitation, surface &<br />

underground water availability, index <strong>of</strong> hydric poverty, water quality, n° n <strong>of</strong><br />

wells per area unit, % <strong>of</strong> furrows, % <strong>of</strong> dunes, slope grade, electrical<br />

conductivity degree, alkalinity, sodicity, , organic matter content, flora and<br />

fauna species at extinction risk, degradation state <strong>of</strong> vegetation, dominant<br />

species, flora and fauna stratification, % <strong>of</strong> surface under different ownership<br />

forms, producers distribution by amount <strong>of</strong> area, urban and rural population<br />

density, % <strong>of</strong> women as family heads, functional analphabetism rate, basic<br />

services presence, health care access, infantile mortality rate, credit access, N° N<br />

<strong>of</strong> state owned institutions and research centers aimed at dry land recovery,<br />

N° <strong>of</strong> NGO’s s aimed at dry land recovery)<br />

Pressure Indicators (Rain water impact, wind speed, water supply/demand<br />

ratio, % <strong>of</strong> bare soil or surface albedo, hydric erosion degree, eolic erosion<br />

degree, % <strong>of</strong> vegetal cover, fire risk, % <strong>of</strong> change in vegetal cover, animal<br />

load, % <strong>of</strong> wood as fuel, % <strong>of</strong> change in use <strong>of</strong> land, advance <strong>of</strong> agricultural<br />

frontier)


Indicators<br />

Response Indicators (N° <strong>of</strong> water studies institutions, National/local existence <strong>of</strong><br />

normative related with water, N° N <strong>of</strong> soil studies institutions, National/local existence<br />

<strong>of</strong> normative related with soils, National/local existence <strong>of</strong> normative related with<br />

flora y fauna, N° N <strong>of</strong> flora and fauna studies institutions, % <strong>of</strong> recovered dry land, % <strong>of</strong><br />

existent and projected protected areas, existence <strong>of</strong> National/provincial ovincial laws related<br />

with land degradation, N° N <strong>of</strong> organizations and programs on dryland issues, N° N <strong>of</strong><br />

institutions and projects associated with the funding <strong>of</strong> the National action plan<br />

(PAN), provincial development plans and programs on desertification, ion, amount <strong>of</strong><br />

provincial, national and international funds aimed at financing the PAN projects, N° N<br />

<strong>of</strong> universities and research institutions working on desertification tion issues, % <strong>of</strong><br />

population under desertification projects, N° N <strong>of</strong> active organizations, types <strong>of</strong> base<br />

organizations, scholar curricula including environmental issues, % <strong>of</strong> women leaders.)<br />

Impact indicators (migration net ratio, most frequent illness, analphabetism rate, %<br />

<strong>of</strong> economically active population, % <strong>of</strong> population under poverty line, % <strong>of</strong><br />

population under indigence line)

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