DETERMINING CRITICAL MANAGEMENT AREAS IN NATURAL PARKS METHODOLOGY [email protected]...

DETERMINING CRITICAL MANAGEMENT AREAS IN

NATURAL PARKS METHODOLOGY

[email protected] [email protected] Science, Universidad de los Andes, Bogotá, Colombia

Determining Critical Management Area s in Natural [email protected], [email protected] 2

¿HOW TO HANDLE WITH PROBLEMS INTO A NATURAL PARK?

This methodology helps you to gather data, alphanumeric and geographic, in order to identify critical management areas in your park.

It helps you to know what and where problems are and to handle with them, giving you information to make better decisions


Methodology FlowENVIRONMENT KNOWLEDGE

Problem Variables & Kind

VARIABLES RANKING

CatalystVariables

DeterminantVariables

InformativeVariables

VARIABLES CRITICAL LEVEL - CUALITATIVE MODEL

Variable Critical Level High Medium Low

Level conditions

VARIABLES OVERLAPPING

Biomes / FiresHigh Lands

(High)Woods(High)

50% or more(High)

fh High fh High

Grass(Low)

50% or less(Medium)

Just a few onone (Low)

f Medium

h High h High f Medium

h Medium h Medium fh Low

Arrows point tovariable with ahigher precedence

No data

Low Critical Level

High Critical Level

Medium Critical Level

OVERVIEW

PROBLEMS RANKING - VARIABLES SELECTIONProblem RankingVariables & Kind

Variables selected(4 or 5)

2 VARIABLES OVERLAY MODEL ANDGENERALIZATION

Variable 1 + 2Coverage


Environment Knowledge

Identify management and preservation problems Identify and associate variables related with

each problem Tips to identify variables: Think about kind of variables (General –roads,

topography, etc.-, vegetation, natural disasters, social and economic situation and public order)

Problem Variables & Kind


Problems Ranking and Variables Selection Recognize more relevant problems Select variables related with those problems

Check selected variables are suitable for analysis Is there enough, current, historical and accurate information? Is there geographic information about problems and

variables? Can it be represented as polygons?

Problem RankingVariables & Kind Variables selected(4 or 5)


Variables Ranking

Detect variables determining problems Find variables acting as catalysts Distinguish variables giving general information

DeterminantVariables

InformativeVariables

CatalystVariables


Variables Critical Level – Qualitative Model Define when level is high, medium or low for

each determinant variable

Variable Critical Level High Medium Low

Level conditions

FIRES LEVEL50% or more in the last 10years High

Less than 50% in the last 10years Medium

LowNo fires in the last 10 years


Variables Overlapping

Determine what happens when 2 or more variables are at same time and at same place

Which variable gets the situation worse? Which one attenuate problems? What is the effect of catalyst variables?

Biomes / FiresHigh Lands

(High)Woods(High)

50% or more(High)

High High

Grass(Low)

50% or less(Medium)

Just a few onone (Low)

Medium

High High Medium

Medium Medium Low

Arrows point tovariable with ahigher precedence


2 Variables Overlay Model and Generalization

Generalization: Overlaying 3 variables is the result between 1 variable and 2 variables overlaid; overlaying 4 variables is the result between 2 variables overlaid and other 2 variables overlaid and so.

Variable 1(POLY)

Catalyst(POLY)

OverlappingTable CatalystVs Variable 1

Variable 1 +CatalystOverlay

UNION

Reclassification

Variable 1 +CatalystCoverage

Variable 2(POLY)

Catalyst(POLY)

OverlappingTable CatalystVs Variable 2

Variable 2 +CatalystOverlay

UNION

Reclassification

Variable 2 +CatalystCoverage

UNION

Variable 1 + 2Overlay

Reclassification

Overlapping TableVariable 1 VsVariable 2

Variable 1 + 2Coverage


Overview (1)

Step 1: 2 Determinant variables

No data

Park’s

Private Company’s

Goverment Company’s

Land Owners

No data

Grass

Woods & High Lands

Small woods

Biomes


Overview (2)

Step 2: Catalyst Step 3: OverlayForest Control Points

Overlay

No data

Low Critical Level

High Critical Level

Medium Critical Level


Conclusions

This methodology is very helpful to handle problems related with management and preservation in natural parks.

Problem, variable and overlaying tables represent park and environment knowledge and are very meaningful to make better decisions. It is also useful to share and delegate responsibilities.

Methodology can be used as a simulation tool, changing variables roles. In that way, it is possible to find out what happens when catalyst, determinant and informative variables change.

It is still necessary to develop a tool which implements this methodology and to handle issues such as compatibilities among coverages -point, line and polygons- and to support overlaying variable model.


Bibliography

[Dia96] Díaz, Liliana; Lastra, Carolina. Siezcha, Sistema de Información Espacial para la Determinación de Zonas Críticas de Manejo en el Parque Nacional Natural Chingaza. Tesis, Universidad de los Andes, Bogotá, Colombia. 1996

[Con97] Conesa Fernández, Vicente. Guía Metodológica para la evaluación del impacto ambiental. 3era edición, impresión del 2000. Ediciones Mundi – Prensa, Madrid, España. 1997


Acknowledgments

Authors of this job want to acknowledge to Carolina Lastra and Liliana Díaz for their previous job in this area, Siezcha, and to Carlos Lora who helped with his knowledge as a Chingaza Natural National Park's Chief, he gave us valuable information to develop this methodology. Finally we want to thank to Adriana Forero and Ezana Habte, teachers of the Foreign Language Department at Universidad de la Sabana, who help in the translation of this paper.

DETERMINING CRITICAL MANAGEMENT AREAS IN NATURAL PARKS METHODOLOGY [email protected]...

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