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Forests Sourcebook - HCV Resource Network

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Box 4.13<br />

Possible Indicators for Assessing Conservation of Biodiversity and Ecosystem Services in Landscapes<br />

that Integrate Production and Conservation<br />

Sample indicators for<br />

landscape-scale status<br />

assessment<br />

Sample indicators for project-level<br />

effectiveness assessment<br />

(threat/opportunity measures)<br />

Sample indicators<br />

for site-scale staus<br />

assessment<br />

Criterion C1: Land-use patterns across the landscape optimize habitat value and landscape connectivity for native species.<br />

• Land cover: portion of landscape in<br />

natural habitat, moderate use, and<br />

intense use. MM: remote sensing with<br />

ground truthing.<br />

• Fragmentation and connectivity: size,<br />

shape, and functional connectivity of<br />

patches of natural and semi-natural<br />

habitat. MM: various indices presented<br />

in the literature; analysis with Fragstats<br />

or other spatial analysis software.<br />

• Indicator species: presence and<br />

abundance of wide-ranging and/or<br />

multi-habitat integrate over many<br />

landscape variables. MM: observation<br />

or censusing by experts and/or local<br />

laypersons.<br />

• Deforestation: increase or decrease<br />

in the rate of deforestation at the<br />

agricultural frontier. MM: remote<br />

sensing.<br />

• Fragmentation: gain or loss of<br />

functional connectivity among<br />

patches of natural and semi-natural<br />

land. MM: various indices presented<br />

in the literature; analysis with Fragstats<br />

or other spatial analysis software.<br />

• Management of agricultural land for<br />

biodiversity: presence and quality of<br />

native habitats within agricultural<br />

systems. MM: remote sensing and<br />

habitat quality measures.<br />

• Contribution to large-scale<br />

conservation networks:<br />

connectivity of on-site natural<br />

areas to adjacent and nearby<br />

natural areas and reserves.<br />

MM: various indices presented<br />

in the literature.<br />

Note that indicator species could be<br />

a problematic indicator at the site<br />

scale because an organism could be<br />

observed at a site even though the<br />

site plays little or no role in<br />

sustaining that organism.<br />

Source: Buck and others 2006.<br />

Note: Geographic Information System. Means of measure (MM) are given in italics.<br />

Identify approach for monitoring. Multiple approaches<br />

are available for monitoring and evaluating interventions,<br />

and data can come from various sources (primary data; data<br />

from local laypersons, local experts, or outside technical<br />

experts using advanced technological tools and analytical<br />

methods). Identifying the most appropriate approach will<br />

require a clear understanding of the context, working within<br />

parameters such as available resources, and identifying<br />

approaches that will draw on readily available qualitative and<br />

quantitative information. (See box 4.14 for one approach.)<br />

Use technological tools to enrich the debate about<br />

future landscape scenarios. These same tools can also<br />

be used by special interest groups to excessively influence<br />

activities or processes. It is therefore important that technology<br />

not dominate or drive the process but be put at the<br />

service of stakeholders in an equitable and transparent fashion<br />

(Ecoagriculture Partners and IUCN 2007).<br />

Specify who is responsible for monitoring and the<br />

appropriate frequency and format. The monitoring<br />

protocol should indicate the type and frequency of monitoring,<br />

as well as who is responsible for carrying it out and<br />

reporting on the monitoring.<br />

LESSONS LEARNED AND RECOMMENDATIONS<br />

FOR PRACTITIONERS<br />

Monitoring and assessment systems must be flexible to be<br />

able to function in a highly dynamic social and economic<br />

environment (see note 4.3, Using Adaptive Management to<br />

Improve Project Implementation). Consistent monitoring<br />

over time allows for changes to be tracked continuously. The<br />

indicators and means of measurement to be used must be<br />

chosen and used consistently over time; data sets are often<br />

rendered useless if they are too flexible.<br />

Stakeholder perceptions of desirable outcomes will<br />

change with time, and the need for interventions to achieve<br />

desirable landscape conditions may also change. While flexibility<br />

is important, consistency over time is critical to tracking<br />

change meaningfully—the indicators and means of<br />

measurement must be enduring.<br />

Monitoring should be continual and not simply consist<br />

of an update to the baseline information at the very end of<br />

NOTE 4.2: ASSESSING OUTCOMES OF LANDSCAPE INTERVENTIONS 141

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